\n \n\n \n \n Altdorff, D.; von Hebel, C.; Borchard, N.; van der Kruk, J.; Bogena, H. R.; Vereecken, H.; and Huisman, J. A.\n\n\n \n \n \n \n \n Potential of catchment-wide soil water content prediction using electromagnetic induction in a forest ecosystem.\n \n \n \n \n\n\n \n\n\n\n Environmental Earth Sciences, 76(3): 111. February 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Potential$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{altdorff_potential_2017,\n\ttitle = {Potential of catchment-wide soil water content prediction using electromagnetic induction in a forest ecosystem},\n\tvolume = {76},\n\tissn = {1866-6280, 1866-6299},\n\turl = {http://link.springer.com/10.1007/s12665-016-6361-3},\n\tdoi = {10.1007/s12665-016-6361-3},\n\tlanguage = {en},\n\tnumber = {3},\n\turldate = {2022-11-18},\n\tjournal = {Environmental Earth Sciences},\n\tauthor = {Altdorff, Daniel and von Hebel, Christian and Borchard, Nils and van der Kruk, Jan and Bogena, Heye Reemt and Vereecken, Harry and Huisman, Johan Alexander},\n\tmonth = feb,\n\tyear = {2017},\n\tpages = {111},\n}\n\n

\n

\n\n\n\n

\n \n\n \n \n Andreasen, M.; Jensen, K. H.; Desilets, D.; Franz, T. E.; Zreda, M.; Bogena, H. R.; and Looms, M. C.\n\n\n \n \n \n \n \n Status and Perspectives on the Cosmic-Ray Neutron Method for Soil Moisture Estimation and Other Environmental Science Applications.\n \n \n \n \n\n\n \n\n\n\n Vadose Zone Journal, 16(8): vzj2017.04.0086. August 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Status$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{andreasen_status_2017,\n\ttitle = {Status and {Perspectives} on the {Cosmic}-{Ray} {Neutron} {Method} for {Soil} {Moisture} {Estimation} and {Other} {Environmental} {Science} {Applications}},\n\tvolume = {16},\n\tissn = {15391663},\n\turl = {http://doi.wiley.com/10.2136/vzj2017.04.0086},\n\tdoi = {10.2136/vzj2017.04.0086},\n\tlanguage = {en},\n\tnumber = {8},\n\turldate = {2022-11-18},\n\tjournal = {Vadose Zone Journal},\n\tauthor = {Andreasen, Mie and Jensen, Karsten H. and Desilets, Darin and Franz, Trenton E. and Zreda, Marek and Bogena, Heye R. and Looms, Majken C.},\n\tmonth = aug,\n\tyear = {2017},\n\tpages = {vzj2017.04.0086},\n}\n\n

\n

\n\n\n\n

\n \n\n \n \n Andreasen, M.; Jensen, K. H.; Desilets, D.; Zreda, M.; Bogena, H. R.; and Looms, M. C.\n\n\n \n \n \n \n \n Cosmic-ray neutron transport at a forest field site: the sensitivity to various environmental conditions with focus on biomass and canopy interception.\n \n \n \n \n\n\n \n\n\n\n Hydrology and Earth System Sciences, 21(4): 1875–1894. April 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Cosmic-ray$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{andreasen_cosmic-ray_2017,\n\ttitle = {Cosmic-ray neutron transport at a forest field site: the sensitivity to various environmental conditions with focus on biomass and canopy interception},\n\tvolume = {21},\n\tissn = {1607-7938},\n\tshorttitle = {Cosmic-ray neutron transport at a forest field site},\n\turl = {https://hess.copernicus.org/articles/21/1875/2017/},\n\tdoi = {10.5194/hess-21-1875-2017},\n\tabstract = {Abstract. Cosmic-ray neutron intensity is inversely correlated to all hydrogen present in the upper decimeters of the subsurface and the first few hectometers of the atmosphere above the ground surface. This correlation forms the base of the cosmic-ray neutron soil moisture estimation method. The method is, however, complicated by the fact that several hydrogen pools other than soil moisture affect the neutron intensity. In order to improve the cosmic-ray neutron soil moisture estimation method and explore the potential for additional applications, knowledge about the environmental effect on cosmic-ray neutron intensity is essential (e.g., the effect of vegetation, litter layer and soil type). In this study the environmental effect is examined by performing a sensitivity analysis using neutron transport modeling. We use a neutron transport model with various representations of the forest and different parameters describing the subsurface to match measured height profiles and time series of thermal and epithermal neutron intensities at a field site in Denmark. Overall, modeled thermal and epithermal neutron intensities are in satisfactory agreement with measurements; however, the choice of forest canopy conceptualization is found to be significant. Modeling results show that the effect of canopy interception, soil chemistry and dry bulk density of litter and mineral soil on neutron intensity is small. On the other hand, the neutron intensity decreases significantly with added litter-layer thickness, especially for epithermal neutron energies. Forest biomass also has a significant influence on the neutron intensity height profiles at the examined field site, altering both the shape of the profiles and the ground-level thermal-to-epithermal neutron ratio. This ratio increases with increasing amounts of biomass, and was confirmed by measurements from three sites representing agricultural, heathland and forest land cover. A much smaller effect of canopy interception on the ground-level thermal-to-epithermal neutron ratio was modeled. Overall, the results suggest a potential to use ground-level thermal-to-epithermal neutron ratios to discriminate the effect of different hydrogen contributions on the neutron signal.},\n\tlanguage = {en},\n\tnumber = {4},\n\turldate = {2022-11-18},\n\tjournal = {Hydrology and Earth System Sciences},\n\tauthor = {Andreasen, Mie and Jensen, Karsten H. and Desilets, Darin and Zreda, Marek and Bogena, Heye R. and Looms, Majken C.},\n\tmonth = apr,\n\tyear = {2017},\n\tpages = {1875--1894},\n}\n\n

\n

\n\n\n

\n Abstract. Cosmic-ray neutron intensity is inversely correlated to all hydrogen present in the upper decimeters of the subsurface and the first few hectometers of the atmosphere above the ground surface. This correlation forms the base of the cosmic-ray neutron soil moisture estimation method. The method is, however, complicated by the fact that several hydrogen pools other than soil moisture affect the neutron intensity. In order to improve the cosmic-ray neutron soil moisture estimation method and explore the potential for additional applications, knowledge about the environmental effect on cosmic-ray neutron intensity is essential (e.g., the effect of vegetation, litter layer and soil type). In this study the environmental effect is examined by performing a sensitivity analysis using neutron transport modeling. We use a neutron transport model with various representations of the forest and different parameters describing the subsurface to match measured height profiles and time series of thermal and epithermal neutron intensities at a field site in Denmark. Overall, modeled thermal and epithermal neutron intensities are in satisfactory agreement with measurements; however, the choice of forest canopy conceptualization is found to be significant. Modeling results show that the effect of canopy interception, soil chemistry and dry bulk density of litter and mineral soil on neutron intensity is small. On the other hand, the neutron intensity decreases significantly with added litter-layer thickness, especially for epithermal neutron energies. Forest biomass also has a significant influence on the neutron intensity height profiles at the examined field site, altering both the shape of the profiles and the ground-level thermal-to-epithermal neutron ratio. This ratio increases with increasing amounts of biomass, and was confirmed by measurements from three sites representing agricultural, heathland and forest land cover. A much smaller effect of canopy interception on the ground-level thermal-to-epithermal neutron ratio was modeled. Overall, the results suggest a potential to use ground-level thermal-to-epithermal neutron ratios to discriminate the effect of different hydrogen contributions on the neutron signal.\n

\n\n\n

\n \n\n \n \n Baatz, R.; Hendricks Franssen, H.; Han, X.; Hoar, T.; Bogena, H. R.; and Vereecken, H.\n\n\n \n \n \n \n \n Evaluation of a cosmic-ray neutron sensor network for improved land surface model prediction.\n \n \n \n \n\n\n \n\n\n\n Hydrology and Earth System Sciences, 21(5): 2509–2530. May 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Evaluation$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{baatz_evaluation_2017,\n\ttitle = {Evaluation of a cosmic-ray neutron sensor network for improved land surface model prediction},\n\tvolume = {21},\n\tissn = {1607-7938},\n\turl = {https://hess.copernicus.org/articles/21/2509/2017/},\n\tdoi = {10.5194/hess-21-2509-2017},\n\tabstract = {Abstract. In situ soil moisture sensors provide highly accurate but very local soil moisture measurements, while remotely sensed soil moisture is strongly affected by vegetation and surface roughness. In contrast, cosmic-ray neutron sensors (CRNSs) allow highly accurate soil moisture estimation on the field scale which could be valuable to improve land surface model predictions. In this study, the potential of a network of CRNSs installed in the 2354 km2 Rur catchment (Germany) for estimating soil hydraulic parameters and improving soil moisture states was tested. Data measured by the CRNSs were assimilated with the local ensemble transform Kalman filter in the Community Land Model version 4.5. Data of four, eight and nine CRNSs were assimilated for the years 2011 and 2012 (with and without soil hydraulic parameter estimation), followed by a verification year 2013 without data assimilation. This was done using (i) a regional high-resolution soil map, (ii) the FAO soil map and (iii) an erroneous, biased soil map as input information for the simulations. For the regional soil map, soil moisture characterization was only improved in the assimilation period but not in the verification period. For the FAO soil map and the biased soil map, soil moisture predictions improved strongly to a root mean square error of 0.03 cm3 cm−3 for the assimilation period and 0.05 cm3 cm−3 for the evaluation period. Improvements were limited by the measurement error of CRNSs (0.03 cm3 cm−3). The positive results obtained with data assimilation of nine CRNSs were confirmed by the jackknife experiments with four and eight CRNSs used for assimilation. The results demonstrate that assimilated data of a CRNS network can improve the characterization of soil moisture content on the catchment scale by updating spatially distributed soil hydraulic parameters of a land surface model.},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2022-11-18},\n\tjournal = {Hydrology and Earth System Sciences},\n\tauthor = {Baatz, Roland and Hendricks Franssen, Harrie-Jan and Han, Xujun and Hoar, Tim and Bogena, Heye Reemt and Vereecken, Harry},\n\tmonth = may,\n\tyear = {2017},\n\tpages = {2509--2530},\n}\n\n

\n

\n\n\n\n\n\n

\n \n\n \n \n Barth, J. A. C.; Mader, M.; Nenning, F.; van Geldern, R.; and Friese, K.\n\n\n \n \n \n \n \n Stable isotope mass balances versus concentration differences of dissolved inorganic carbon – implications for tracing carbon turnover in reservoirs.\n \n \n \n \n\n\n \n\n\n\n Isotopes in Environmental and Health Studies, 53(4): 413–426. July 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Stable$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{barth_stable_2017,\n\ttitle = {Stable isotope mass balances versus concentration differences of dissolved inorganic carbon – implications for tracing carbon turnover in reservoirs},\n\tvolume = {53},\n\tissn = {1025-6016, 1477-2639},\n\turl = {https://www.tandfonline.com/doi/full/10.1080/10256016.2017.1282478},\n\tdoi = {10.1080/10256016.2017.1282478},\n\tlanguage = {en},\n\tnumber = {4},\n\turldate = {2022-11-18},\n\tjournal = {Isotopes in Environmental and Health Studies},\n\tauthor = {Barth, Johannes A. C. and Mader, Michael and Nenning, Franziska and van Geldern, Robert and Friese, Kurt},\n\tmonth = jul,\n\tyear = {2017},\n\tpages = {413--426},\n}\n\n

\n

\n\n\n\n

\n \n\n \n \n Bogena, H.; Franssen, H. H.; Montzka, C.; and Vereecken, H.\n\n\n \n \n \n \n \n A Blueprint for a Distributed Terrestrial Ecosystem Research Infrastructure.\n \n \n \n \n\n\n \n\n\n\n In Chabbi, A.; and Loescher, H. W., editor(s), Terrestrial Ecosystem Research Infrastructures, pages 279–303. CRC Press, Boca Raton, FL : CRC Press, 2017., 1 edition, March 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"A$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@incollection{chabbi_blueprint_2017,\n\taddress = {Boca Raton, FL : CRC Press, 2017.},\n\tedition = {1},\n\ttitle = {A {Blueprint} for a {Distributed} {Terrestrial} {Ecosystem} {Research} {Infrastructure}},\n\tisbn = {9781315368252},\n\turl = {https://www.taylorfrancis.com/books/9781498751339/chapters/10.1201/9781315368252-14},\n\tlanguage = {en},\n\turldate = {2022-11-18},\n\tbooktitle = {Terrestrial {Ecosystem} {Research} {Infrastructures}},\n\tpublisher = {CRC Press},\n\tauthor = {Bogena, Heye and Franssen, Harrie-Jan Hendricks and Montzka, Carsten and Vereecken, Harry},\n\teditor = {Chabbi, Abad and Loescher, Henry W.},\n\tmonth = mar,\n\tyear = {2017},\n\tdoi = {10.1201/9781315368252-14},\n\tpages = {279--303},\n}\n\n

\n

\n\n\n\n

\n \n\n \n \n Bogena, H.; Huisman, J.; Schilling, B.; Weuthen, A.; and Vereecken, H.\n\n\n \n \n \n \n \n Effective Calibration of Low-Cost Soil Water Content Sensors.\n \n \n \n \n\n\n \n\n\n\n Sensors, 17(12): 208. January 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Effective$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{bogena_effective_2017,\n\ttitle = {Effective {Calibration} of {Low}-{Cost} {Soil} {Water} {Content} {Sensors}},\n\tvolume = {17},\n\tissn = {1424-8220},\n\turl = {http://www.mdpi.com/1424-8220/17/1/208},\n\tdoi = {10.3390/s17010208},\n\tlanguage = {en},\n\tnumber = {12},\n\turldate = {2022-11-18},\n\tjournal = {Sensors},\n\tauthor = {Bogena, Heye and Huisman, Johan and Schilling, Bernd and Weuthen, Ansgar and Vereecken, Harry},\n\tmonth = jan,\n\tyear = {2017},\n\tpages = {208},\n}\n\n

\n

\n\n\n\n

\n \n\n \n \n Bogena, H.; Wiekenkamp, I.; Huisman, J.; Pütz, T.; Graf, A.; Drüe, C.; and Vereecken, H.\n\n\n \n \n \n \n Integrierte Untersuchung der Effekte eines Kahlschlags auf das hydrologische Systemverhalten eines Kleineinzugsgebiets.\n \n \n \n\n\n \n\n\n\n In Den Wandel messen - Wie gehen wir mit Nichtstationarität in der Hydrologie um? - Beiträge zum Tag der Hydrologie 23./24. März 2017. Forum für Hydrologie und Wasserbewirtschaftung, volume 38.17, pages 39–50, Trier, 2017. M. Casper, O. Gronz, R. Ley and T. Schütz (eds.)\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@inproceedings{bogena_integrierte_2017,\n\taddress = {Trier},\n\ttitle = {Integrierte {Untersuchung} der {Effekte} eines {Kahlschlags} auf das hydrologische {Systemverhalten} eines {Kleineinzugsgebiets}.},\n\tvolume = {38.17},\n\tbooktitle = {Den {Wandel} messen - {Wie} gehen wir mit {Nichtstationarität} in der {Hydrologie} um? - {Beiträge} zum {Tag} der {Hydrologie} 23./24. {März} 2017. {Forum} für {Hydrologie} und {Wasserbewirtschaftung}},\n\tpublisher = {M. Casper, O. Gronz, R. Ley and T. Schütz (eds.)},\n\tauthor = {Bogena, H.R. and Wiekenkamp, I. and Huisman, J.A. and Pütz, T. and Graf, A. and Drüe, C. and Vereecken, H.},\n\tyear = {2017},\n\tpages = {39--50},\n}\n\n

\n

\n\n\n\n

\n \n\n \n \n Brandt, T.; Vieweg, M.; Laube, G.; Schima, R.; Goblirsch, T.; Fleckenstein, J. H.; and Schmidt, C.\n\n\n \n \n \n \n \n Automated in Situ Oxygen Profiling at Aquatic–Terrestrial Interfaces.\n \n \n \n \n\n\n \n\n\n\n Environmental Science & Technology, 51(17): 9970–9978. September 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Automated$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{brandt_automated_2017,\n\ttitle = {Automated in {Situ} {Oxygen} {Profiling} at {Aquatic}–{Terrestrial} {Interfaces}},\n\tvolume = {51},\n\tissn = {0013-936X, 1520-5851},\n\turl = {https://pubs.acs.org/doi/10.1021/acs.est.7b01482},\n\tdoi = {10.1021/acs.est.7b01482},\n\tlanguage = {en},\n\tnumber = {17},\n\turldate = {2022-11-18},\n\tjournal = {Environmental Science \\& Technology},\n\tauthor = {Brandt, Tanja and Vieweg, Michael and Laube, Gerrit and Schima, Robert and Goblirsch, Tobias and Fleckenstein, Jan H. and Schmidt, Christian},\n\tmonth = sep,\n\tyear = {2017},\n\tpages = {9970--9978},\n}\n\n

\n

\n\n\n\n

\n \n\n \n \n Brosy, C.; Krampf, K.; Zeeman, M.; Wolf, B.; Junkermann, W.; Schäfer, K.; Emeis, S.; and Kunstmann, H.\n\n\n \n \n \n \n \n Simultaneous multicopter-based air sampling and sensing of meteorological variables.\n \n \n \n \n\n\n \n\n\n\n Atmospheric Measurement Techniques, 10(8): 2773–2784. August 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Simultaneous$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{brosy_simultaneous_2017,\n\ttitle = {Simultaneous multicopter-based air sampling and sensing of meteorological variables},\n\tvolume = {10},\n\tissn = {1867-8548},\n\turl = {https://amt.copernicus.org/articles/10/2773/2017/},\n\tdoi = {10.5194/amt-10-2773-2017},\n\tabstract = {Abstract. The state and composition of the lowest part of the planetary boundary layer (PBL), i.e., the atmospheric surface layer (SL), reflects the interactions of external forcing, land surface, vegetation, human influence and the atmosphere. Vertical profiles of atmospheric variables in the SL at high spatial (meters) and temporal (1 Hz and better) resolution increase our understanding of these interactions but are still challenging to measure appropriately. Traditional ground-based observations include towers that often cover only a few measurement heights at a fixed location. At the same time, most remote sensing techniques and aircraft measurements have limitations to achieve sufficient detail close to the ground (up to 50 m). Vertical and horizontal transects of the PBL can be complemented by unmanned aerial vehicles (UAV). Our aim in this case study is to assess the use of a multicopter-type UAV for the spatial sampling of air and simultaneously the sensing of meteorological variables for the study of the surface exchange processes. To this end, a UAV was equipped with onboard air temperature and humidity sensors, while wind conditions were determined from the UAV's flight control sensors. Further, the UAV was used to systematically change the location of a sample inlet connected to a sample tube, allowing the observation of methane abundance using a ground-based analyzer. Vertical methane gradients of about 0.3 ppm were found during stable atmospheric conditions. Our results showed that both methane and meteorological conditions were in agreement with other observations at the site during the ScaleX-2015 campaign. The multicopter-type UAV was capable of simultaneous in situ sensing of meteorological state variables and sampling of air up to 50 m above the surface, which extended the vertical profile height of existing tower-based infrastructure by a factor of 5.},\n\tlanguage = {en},\n\tnumber = {8},\n\turldate = {2022-11-18},\n\tjournal = {Atmospheric Measurement Techniques},\n\tauthor = {Brosy, Caroline and Krampf, Karina and Zeeman, Matthias and Wolf, Benjamin and Junkermann, Wolfgang and Schäfer, Klaus and Emeis, Stefan and Kunstmann, Harald},\n\tmonth = aug,\n\tyear = {2017},\n\tpages = {2773--2784},\n}\n\n

\n

\n\n\n\n\n\n

\n \n\n \n \n Cabral, I.; Keim, J.; Engelmann, R.; Kraemer, R.; Siebert, J.; and Bonn, A.\n\n\n \n \n \n \n \n Ecosystem services of allotment and community gardens: A Leipzig, Germany case study.\n \n \n \n \n\n\n \n\n\n\n Urban Forestry & Urban Greening, 23: 44–53. April 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Ecosystem$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{cabral_ecosystem_2017,\n\ttitle = {Ecosystem services of allotment and community gardens: {A} {Leipzig}, {Germany} case study},\n\tvolume = {23},\n\tissn = {16188667},\n\tshorttitle = {Ecosystem services of allotment and community gardens},\n\turl = {https://linkinghub.elsevier.com/retrieve/pii/S1618866716302540},\n\tdoi = {10.1016/j.ufug.2017.02.008},\n\tlanguage = {en},\n\turldate = {2022-11-18},\n\tjournal = {Urban Forestry \\& Urban Greening},\n\tauthor = {Cabral, Ines and Keim, Jessica and Engelmann, Rolf and Kraemer, Roland and Siebert, Julia and Bonn, Aletta},\n\tmonth = apr,\n\tyear = {2017},\n\tpages = {44--53},\n}\n\n

\n

\n\n\n\n

\n \n\n \n \n Colliander, A.; Jackson, T.; Bindlish, R.; Chan, S.; Das, N.; Kim, S.; Cosh, M.; Dunbar, R.; Dang, L.; Pashaian, L.; Asanuma, J.; Aida, K.; Berg, A.; Rowlandson, T.; Bosch, D.; Caldwell, T.; Caylor, K.; Goodrich, D.; al Jassar, H.; Lopez-Baeza, E.; Martínez-Fernández, J.; González-Zamora, A.; Livingston, S.; McNairn, H.; Pacheco, A.; Moghaddam, M.; Montzka, C.; Notarnicola, C.; Niedrist, G.; Pellarin, T.; Prueger, J.; Pulliainen, J.; Rautiainen, K.; Ramos, J.; Seyfried, M.; Starks, P.; Su, Z.; Zeng, Y.; van der Velde, R.; Thibeault, M.; Dorigo, W.; Vreugdenhil, M.; Walker, J.; Wu, X.; Monerris, A.; O'Neill, P.; Entekhabi, D.; Njoku, E.; and Yueh, S.\n\n\n \n \n \n \n \n Validation of SMAP surface soil moisture products with core validation sites.\n \n \n \n \n\n\n \n\n\n\n Remote Sensing of Environment, 191: 215–231. March 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Validation$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{colliander_validation_2017,\n\ttitle = {Validation of {SMAP} surface soil moisture products with core validation sites},\n\tvolume = {191},\n\tissn = {00344257},\n\turl = {https://linkinghub.elsevier.com/retrieve/pii/S0034425717300329},\n\tdoi = {10.1016/j.rse.2017.01.021},\n\tlanguage = {en},\n\turldate = {2022-11-18},\n\tjournal = {Remote Sensing of Environment},\n\tauthor = {Colliander, A. and Jackson, T.J. and Bindlish, R. and Chan, S. and Das, N. and Kim, S.B. and Cosh, M.H. and Dunbar, R.S. and Dang, L. and Pashaian, L. and Asanuma, J. and Aida, K. and Berg, A. and Rowlandson, T. and Bosch, D. and Caldwell, T. and Caylor, K. and Goodrich, D. and al Jassar, H. and Lopez-Baeza, E. and Martínez-Fernández, J. and González-Zamora, A. and Livingston, S. and McNairn, H. and Pacheco, A. and Moghaddam, M. and Montzka, C. and Notarnicola, C. and Niedrist, G. and Pellarin, T. and Prueger, J. and Pulliainen, J. and Rautiainen, K. and Ramos, J. and Seyfried, M. and Starks, P. and Su, Z. and Zeng, Y. and van der Velde, R. and Thibeault, M. and Dorigo, W. and Vreugdenhil, M. and Walker, J.P. and Wu, X. and Monerris, A. and O'Neill, P.E. and Entekhabi, D. and Njoku, E.G. and Yueh, S.},\n\tmonth = mar,\n\tyear = {2017},\n\tpages = {215--231},\n}\n\n

\n

\n\n\n\n

\n \n\n \n \n Dadi, T.; Wendt-Potthoff, K.; and Koschorreck, M.\n\n\n \n \n \n \n \n Sediment resuspension effects on dissolved organic carbon fluxes and microbial metabolic potentials in reservoirs.\n \n \n \n \n\n\n \n\n\n\n Aquatic Sciences, 79(3): 749–764. July 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Sediment$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{dadi_sediment_2017,\n\ttitle = {Sediment resuspension effects on dissolved organic carbon fluxes and microbial metabolic potentials in reservoirs},\n\tvolume = {79},\n\tissn = {1015-1621, 1420-9055},\n\turl = {http://link.springer.com/10.1007/s00027-017-0533-4},\n\tdoi = {10.1007/s00027-017-0533-4},\n\tlanguage = {en},\n\tnumber = {3},\n\turldate = {2022-11-18},\n\tjournal = {Aquatic Sciences},\n\tauthor = {Dadi, Tallent and Wendt-Potthoff, Katrin and Koschorreck, Matthias},\n\tmonth = jul,\n\tyear = {2017},\n\tpages = {749--764},\n}\n\n

\n

\n\n\n\n

\n \n\n \n \n Dick, D. D.; Dormann, C. F.; and Henle, K.\n\n\n \n \n \n \n \n Environmental determinants and temporal variation of amphibian habitat use in a temperate floodplain.\n \n \n \n \n\n\n \n\n\n\n The Herpetological Journal, 27(2): 161–171. April 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Environmental$ Paper\n \n \n\n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{dick_environmental_2017,\n\ttitle = {Environmental determinants and temporal variation of amphibian habitat use in a temperate floodplain},\n\tvolume = {27},\n\tissn = {0268-0130},\n\turl = {https://www.thebhs.org/publications/the-herpetological-journal/volume-27-number-2-april-2017/1009-05-environmental-determinants-and-temporal-variation-of-amphibian-habitat-use-in-a-temperate-floodplain},\n\tnumber = {2},\n\tjournal = {The Herpetological Journal},\n\tauthor = {Dick, Daniela D.C and Dormann, Carsten F. and Henle, Klaus},\n\tmonth = apr,\n\tyear = {2017},\n\tpages = {161--171},\n}\n\n

\n

\n\n\n\n

\n \n\n \n \n Dräger, N.; Theuerkauf, M.; Szeroczyńska, K.; Wulf, S.; Tjallingii, R.; Plessen, B.; Kienel, U.; and Brauer, A.\n\n\n \n \n \n \n \n Varve microfacies and varve preservation record of climate change and human impact for the last 6000 years at Lake Tiefer See (NE Germany).\n \n \n \n \n\n\n \n\n\n\n The Holocene, 27(3): 450–464. March 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Varve$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{drager_varve_2017,\n\ttitle = {Varve microfacies and varve preservation record of climate change and human impact for the last 6000 years at {Lake} {Tiefer} {See} ({NE} {Germany})},\n\tvolume = {27},\n\tissn = {0959-6836, 1477-0911},\n\turl = {http://journals.sagepub.com/doi/10.1177/0959683616660173},\n\tdoi = {10.1177/0959683616660173},\n\tabstract = {The Holocene sediment record of Lake Tiefer See exhibits striking alternations between well-varved and non-varved intervals. Here, we present a high-resolution multi-proxy record for the past {\\textasciitilde}6000 years and discuss possible causes for the observed sediment variability. This approach comprises microfacies, geochemical and microfossil analyses and a multiple dating concept including varve counting, tephrochronology and radiocarbon dating. Four periods of predominantly well-varved sediment were identified at 6000–3950, 3100–2850 and 2100–750 cal. a BP and AD 1924–present. Except of sub-recent varve formation, these periods are considered to reflect reduced lake circulation and consequently, stronger anoxic bottom water conditions. In contrast, intercalated intervals of poor varve preservation or even extensively mixed non-varved sediments indicate strengthened lake circulation. Sub-recent varve formation since AD 1924 is, in addition to natural forcing, influenced by enhanced lake productivity due to modern anthropogenic eutrophication. The general increase in periods of intensified lake circulation in Lake Tiefer See since {\\textasciitilde}4000 cal. a BP presumably is caused by gradual changes in the northern hemisphere orbital forcing, leading to cooler and windier conditions in Central Europe. Superimposed decadal- to centennial-scale variability of the lake circulation regime is likely the result of additional human-induced changes of the catchment vegetation. The coincidence of major non-varved periods at Lake Tiefer See and intervals of bioturbated sediments in the Baltic Sea implies a broader regional significance of our findings.},\n\tlanguage = {en},\n\tnumber = {3},\n\turldate = {2022-11-18},\n\tjournal = {The Holocene},\n\tauthor = {Dräger, Nadine and Theuerkauf, Martin and Szeroczyńska, Krystyna and Wulf, Sabine and Tjallingii, Rik and Plessen, Birgit and Kienel, Ulrike and Brauer, Achim},\n\tmonth = mar,\n\tyear = {2017},\n\tpages = {450--464},\n}\n\n

\n

\n\n\n\n\n\n

\n \n\n \n \n Fu, J.; Gasche, R.; Wang, N.; Lu, H.; Butterbach-Bahl, K.; and Kiese, R.\n\n\n \n \n \n \n \n Impacts of climate and management on water balance and nitrogen leaching from montane grassland soils of S-Germany.\n \n \n \n \n\n\n \n\n\n\n Environmental Pollution, 229: 119–131. October 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Impacts$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{fu_impacts_2017,\n\ttitle = {Impacts of climate and management on water balance and nitrogen leaching from montane grassland soils of {S}-{Germany}},\n\tvolume = {229},\n\tissn = {02697491},\n\turl = {https://linkinghub.elsevier.com/retrieve/pii/S0269749117303974},\n\tdoi = {10.1016/j.envpol.2017.05.071},\n\tlanguage = {en},\n\turldate = {2022-11-18},\n\tjournal = {Environmental Pollution},\n\tauthor = {Fu, Jin and Gasche, Rainer and Wang, Na and Lu, Haiyan and Butterbach-Bahl, Klaus and Kiese, Ralf},\n\tmonth = oct,\n\tyear = {2017},\n\tpages = {119--131},\n}\n\n

\n

\n\n\n\n

\n \n\n \n \n Gebler, S.; Hendricks Franssen, H.; Kollet, S.; Qu, W.; and Vereecken, H.\n\n\n \n \n \n \n \n High resolution modelling of soil moisture patterns with TerrSysMP: A comparison with sensor network data.\n \n \n \n \n\n\n \n\n\n\n Journal of Hydrology, 547: 309–331. April 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"High$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{gebler_high_2017,\n\ttitle = {High resolution modelling of soil moisture patterns with {TerrSysMP}: {A} comparison with sensor network data},\n\tvolume = {547},\n\tissn = {00221694},\n\tshorttitle = {High resolution modelling of soil moisture patterns with {TerrSysMP}},\n\turl = {https://linkinghub.elsevier.com/retrieve/pii/S0022169417300586},\n\tdoi = {10.1016/j.jhydrol.2017.01.048},\n\tlanguage = {en},\n\turldate = {2022-11-18},\n\tjournal = {Journal of Hydrology},\n\tauthor = {Gebler, S. and Hendricks Franssen, H.-J. and Kollet, S.J. and Qu, W. and Vereecken, H.},\n\tmonth = apr,\n\tyear = {2017},\n\tpages = {309--331},\n}\n\n

\n

\n\n\n\n

\n \n\n \n \n Giling, D. P.; Staehr, P. A.; Grossart, H. P.; Andersen, M. R.; Boehrer, B.; Escot, C.; Evrendilek, F.; Gómez-Gener, L.; Honti, M.; Jones, I. D.; Karakaya, N.; Laas, A.; Moreno-Ostos, E.; Rinke, K.; Scharfenberger, U.; Schmidt, S. R.; Weber, M.; Woolway, R. I.; Zwart, J. A.; and Obrador, B.\n\n\n \n \n \n \n \n Delving deeper: Metabolic processes in the metalimnion of stratified lakes: Metalimnetic metabolism in lakes.\n \n \n \n \n\n\n \n\n\n\n Limnology and Oceanography, 62(3): 1288–1306. May 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Delving$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{giling_delving_2017,\n\ttitle = {Delving deeper: {Metabolic} processes in the metalimnion of stratified lakes: {Metalimnetic} metabolism in lakes},\n\tvolume = {62},\n\tissn = {00243590},\n\tshorttitle = {Delving deeper},\n\turl = {https://onlinelibrary.wiley.com/doi/10.1002/lno.10504},\n\tdoi = {10.1002/lno.10504},\n\tlanguage = {en},\n\tnumber = {3},\n\turldate = {2022-11-18},\n\tjournal = {Limnology and Oceanography},\n\tauthor = {Giling, Darren P. and Staehr, Peter A. and Grossart, Hans Peter and Andersen, Mikkel René and Boehrer, Bertram and Escot, Carmelo and Evrendilek, Fatih and Gómez-Gener, Lluís and Honti, Mark and Jones, Ian D. and Karakaya, Nusret and Laas, Alo and Moreno-Ostos, Enrique and Rinke, Karsten and Scharfenberger, Ulrike and Schmidt, Silke R. and Weber, Michael and Woolway, R. Iestyn and Zwart, Jacob A. and Obrador, Biel},\n\tmonth = may,\n\tyear = {2017},\n\tpages = {1288--1306},\n}\n\n

\n

\n\n\n\n

\n \n\n \n \n Gottselig, N.; Nischwitz, V.; Meyn, T.; Amelung, W.; Bol, R.; Halle, C.; Vereecken, H.; Siemens, J.; and Klumpp, E.\n\n\n \n \n \n \n \n Phosphorus Binding to Nanoparticles and Colloids in Forest Stream Waters.\n \n \n \n \n\n\n \n\n\n\n Vadose Zone Journal, 16(3): vzj2016.07.0064. March 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Phosphorus$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{gottselig_phosphorus_2017,\n\ttitle = {Phosphorus {Binding} to {Nanoparticles} and {Colloids} in {Forest} {Stream} {Waters}},\n\tvolume = {16},\n\tissn = {15391663},\n\turl = {http://doi.wiley.com/10.2136/vzj2016.07.0064},\n\tdoi = {10.2136/vzj2016.07.0064},\n\tlanguage = {en},\n\tnumber = {3},\n\turldate = {2022-11-18},\n\tjournal = {Vadose Zone Journal},\n\tauthor = {Gottselig, Nina and Nischwitz, Volker and Meyn, Thomas and Amelung, Wulf and Bol, Roland and Halle, Cynthia and Vereecken, Harry and Siemens, Jan and Klumpp, Erwin},\n\tmonth = mar,\n\tyear = {2017},\n\tpages = {vzj2016.07.0064},\n}\n\n

\n

\n\n\n\n

\n \n\n \n \n Gottselig, N.; Wiekenkamp, I.; Weihermüller, L.; Brüggemann, N.; Berns, A. E.; Bogena, H. R.; Borchard, N.; Klumpp, E.; Lücke, A.; Missong, A.; Pütz, T.; Vereecken, H.; Huisman, J. A.; and Bol, R.\n\n\n \n \n \n \n \n A Three-Dimensional View on Soil Biogeochemistry: A Dataset for a Forested Headwater Catchment.\n \n \n \n \n\n\n \n\n\n\n Journal of Environmental Quality, 46(1): 210–218. 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"A$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{gottselig_three-dimensional_2017,\n\ttitle = {A {Three}-{Dimensional} {View} on {Soil} {Biogeochemistry}: {A} {Dataset} for a {Forested} {Headwater} {Catchment}},\n\tvolume = {46},\n\tissn = {00472425},\n\tshorttitle = {A {Three}-{Dimensional} {View} on {Soil} {Biogeochemistry}},\n\turl = {http://doi.wiley.com/10.2134/jeq2016.07.0276},\n\tdoi = {10.2134/jeq2016.07.0276},\n\tlanguage = {en},\n\tnumber = {1},\n\turldate = {2022-11-18},\n\tjournal = {Journal of Environmental Quality},\n\tauthor = {Gottselig, N. and Wiekenkamp, I. and Weihermüller, L. and Brüggemann, N. and Berns, A. E. and Bogena, H. R. and Borchard, N. and Klumpp, E. and Lücke, A. and Missong, A. and Pütz, T. and Vereecken, H. and Huisman, J. A. and Bol, R.},\n\tyear = {2017},\n\tpages = {210--218},\n}\n\n

\n

\n\n\n\n

\n \n\n \n \n Grossmann, K.; Kabisch, N.; and Kabisch, S.\n\n\n \n \n \n \n \n Understanding the social development of a post-socialist large housing estate: The case of Leipzig-Grünau in eastern Germany in long-term perspective.\n \n \n \n \n\n\n \n\n\n\n European Urban and Regional Studies, 24(2): 142–161. April 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Understanding$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{grossmann_understanding_2017,\n\ttitle = {Understanding the social development of a post-socialist large housing estate: {The} case of {Leipzig}-{Grünau} in eastern {Germany} in long-term perspective},\n\tvolume = {24},\n\tissn = {0969-7764, 1461-7145},\n\tshorttitle = {Understanding the social development of a post-socialist large housing estate},\n\turl = {http://journals.sagepub.com/doi/10.1177/0969776415606492},\n\tdoi = {10.1177/0969776415606492},\n\tabstract = {For decades, public and scholarly debates on large, post-war housing estates in western Europe have been concerned with social decline. After 1989/1990, the point in time of fundamental societal change in eastern Europe, this concern was transferred to estates in post-socialist cities. However, empirical evidence for a general negative trend has not emerged. Recent publications confirm the persistence of social mix and highlight the differentiated trajectories of estates. This paper aims to contribute to an approach of how to conceptually make sense of these differentiated trajectories. Using data from a unique longitudinal survey in East Germany, starting in 1979, we investigate the state of social mix, drivers of social change and the inner differentiation in the housing estate Leipzig-Grünau. We found no proof for a dramatic social decline, rather there is evidence for a slow and multi-faceted change in the social and demographic structure of the residents contributing to a gradual social fragmentation of the estate. This is a result of path dependencies, strategic planning effects and ownership structures. We discuss these drivers of large housing estate trajectories and their related impacts by adapting a framework of multiple, overlapping institutional, social and urban post-socialist transformations. We suggest embedding the framework in a wider and a local context in which transformations need to be seen. In conclusion, we argue for a theoretical debate that makes sense of contextual differences within such transformations.},\n\tlanguage = {en},\n\tnumber = {2},\n\turldate = {2022-11-18},\n\tjournal = {European Urban and Regional Studies},\n\tauthor = {Grossmann, Katrin and Kabisch, Nadja and Kabisch, Sigrun},\n\tmonth = apr,\n\tyear = {2017},\n\tpages = {142--161},\n}\n\n

\n

\n\n\n\n\n\n

\n \n\n \n \n Gueting, N.; Vienken, T.; Klotzsche, A.; van der Kruk, J.; Vanderborght, J.; Caers, J.; Vereecken, H.; and Englert, A.\n\n\n \n \n \n \n \n High resolution aquifer characterization using crosshole GPR full-waveform tomography: Comparison with direct-push and tracer test data: HIGH RESOLUTION AQUIFER CHARACTERIZATION.\n \n \n \n \n\n\n \n\n\n\n Water Resources Research, 53(1): 49–72. January 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"High$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{gueting_high_2017,\n\ttitle = {High resolution aquifer characterization using crosshole {GPR} full-waveform tomography: {Comparison} with direct-push and tracer test data: {HIGH} {RESOLUTION} {AQUIFER} {CHARACTERIZATION}},\n\tvolume = {53},\n\tissn = {00431397},\n\tshorttitle = {High resolution aquifer characterization using crosshole {GPR} full-waveform tomography},\n\turl = {http://doi.wiley.com/10.1002/2016WR019498},\n\tdoi = {10.1002/2016WR019498},\n\tlanguage = {en},\n\tnumber = {1},\n\turldate = {2022-11-18},\n\tjournal = {Water Resources Research},\n\tauthor = {Gueting, Nils and Vienken, Thomas and Klotzsche, Anja and van der Kruk, Jan and Vanderborght, Jan and Caers, Jef and Vereecken, Harry and Englert, Andreas},\n\tmonth = jan,\n\tyear = {2017},\n\tpages = {49--72},\n}\n\n

\n

\n\n\n\n

\n \n\n \n \n Güntner, A.; Reich, M.; Mikolaj, M.; Creutzfeldt, B.; Schroeder, S.; and Wziontek, H.\n\n\n \n \n \n \n \n Landscape-scale water balance monitoring with an iGrav superconducting gravimeter in a field enclosure.\n \n \n \n \n\n\n \n\n\n\n Hydrology and Earth System Sciences, 21(6): 3167–3182. June 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Landscape-scale$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{guntner_landscape-scale_2017,\n\ttitle = {Landscape-scale water balance monitoring with an {iGrav} superconducting gravimeter in a field enclosure},\n\tvolume = {21},\n\tissn = {1607-7938},\n\turl = {https://hess.copernicus.org/articles/21/3167/2017/},\n\tdoi = {10.5194/hess-21-3167-2017},\n\tabstract = {Abstract. In spite of the fundamental role of the landscape water balance for the Earth's water and energy cycles, monitoring the water balance and its components beyond the point scale is notoriously difficult due to the multitude of flow and storage processes and their spatial heterogeneity. Here, we present the first field deployment of an iGrav superconducting gravimeter (SG) in a minimized enclosure for long-term integrative monitoring of water storage changes. Results of the field SG on a grassland site under wet–temperate climate conditions were compared to data provided by a nearby SG located in the controlled environment of an observatory building. The field system proves to provide gravity time series that are similarly precise as those of the observatory SG. At the same time, the field SG is more sensitive to hydrological variations than the observatory SG. We demonstrate that the gravity variations observed by the field setup are almost independent of the depth below the terrain surface where water storage changes occur (contrary to SGs in buildings), and thus the field SG system directly observes the total water storage change, i.e., the water balance, in its surroundings in an integrative way. We provide a framework to single out the water balance components actual evapotranspiration and lateral subsurface discharge from the gravity time series on annual to daily timescales. With about 99 and 85 \\% of the gravity signal due to local water storage changes originating within a radius of 4000 and 200 m around the instrument, respectively, this setup paves the road towards gravimetry as a continuous hydrological field-monitoring technique at the landscape scale.},\n\tlanguage = {en},\n\tnumber = {6},\n\turldate = {2022-11-18},\n\tjournal = {Hydrology and Earth System Sciences},\n\tauthor = {Güntner, Andreas and Reich, Marvin and Mikolaj, Michal and Creutzfeldt, Benjamin and Schroeder, Stephan and Wziontek, Hartmut},\n\tmonth = jun,\n\tyear = {2017},\n\tpages = {3167--3182},\n}\n\n

\n

\n\n\n\n\n\n

\n \n\n \n \n Heidbach, K.; Schmid, H. P.; and Mauder, M.\n\n\n \n \n \n \n \n Experimental evaluation of flux footprint models.\n \n \n \n \n\n\n \n\n\n\n Agricultural and Forest Meteorology, 246: 142–153. November 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Experimental$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{heidbach_experimental_2017,\n\ttitle = {Experimental evaluation of flux footprint models},\n\tvolume = {246},\n\tissn = {01681923},\n\turl = {https://linkinghub.elsevier.com/retrieve/pii/S0168192317302071},\n\tdoi = {10.1016/j.agrformet.2017.06.008},\n\tlanguage = {en},\n\turldate = {2022-11-18},\n\tjournal = {Agricultural and Forest Meteorology},\n\tauthor = {Heidbach, Katja and Schmid, Hans Peter and Mauder, Matthias},\n\tmonth = nov,\n\tyear = {2017},\n\tpages = {142--153},\n}\n\n

\n

\n\n\n\n

\n \n\n \n \n Heine, I.; Brauer, A.; Heim, B.; Itzerott, S.; Kasprzak, P.; Kienel, U.; and Kleinschmit, B.\n\n\n \n \n \n \n \n Monitoring of Calcite Precipitation in Hardwater Lakes with Multi-Spectral Remote Sensing Archives.\n \n \n \n \n\n\n \n\n\n\n Water, 9(1): 15. January 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Monitoring$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{heine_monitoring_2017,\n\ttitle = {Monitoring of {Calcite} {Precipitation} in {Hardwater} {Lakes} with {Multi}-{Spectral} {Remote} {Sensing} {Archives}},\n\tvolume = {9},\n\tissn = {2073-4441},\n\turl = {http://www.mdpi.com/2073-4441/9/1/15},\n\tdoi = {10.3390/w9010015},\n\tlanguage = {en},\n\tnumber = {1},\n\turldate = {2022-11-18},\n\tjournal = {Water},\n\tauthor = {Heine, Iris and Brauer, Achim and Heim, Birgit and Itzerott, Sibylle and Kasprzak, Peter and Kienel, Ulrike and Kleinschmit, Birgit},\n\tmonth = jan,\n\tyear = {2017},\n\tpages = {15},\n}\n\n

\n

\n\n\n\n

\n \n\n \n \n Heinlein, F.; Biernath, C.; Klein, C.; Thieme, C.; and Priesack, E.\n\n\n \n \n \n \n \n Evaluation of Simulated Transpiration from Maize Plants on Lysimeters.\n \n \n \n \n\n\n \n\n\n\n Vadose Zone Journal, 16(1): vzj2016.05.0042. January 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Evaluation$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{heinlein_evaluation_2017,\n\ttitle = {Evaluation of {Simulated} {Transpiration} from {Maize} {Plants} on {Lysimeters}},\n\tvolume = {16},\n\tissn = {15391663},\n\turl = {http://doi.wiley.com/10.2136/vzj2016.05.0042},\n\tdoi = {10.2136/vzj2016.05.0042},\n\tlanguage = {en},\n\tnumber = {1},\n\turldate = {2022-11-18},\n\tjournal = {Vadose Zone Journal},\n\tauthor = {Heinlein, Florian and Biernath, Christian and Klein, Christian and Thieme, Christoph and Priesack, Eckart},\n\tmonth = jan,\n\tyear = {2017},\n\tpages = {vzj2016.05.0042},\n}\n\n

\n

\n\n\n\n

\n \n\n \n \n Herbrich, M.; and Gerke, H. H.\n\n\n \n \n \n \n \n Scales of Water Retention Dynamics Observed in Eroded Luvisols from an Arable Postglacial Soil Landscape.\n \n \n \n \n\n\n \n\n\n\n Vadose Zone Journal, 16(10): vzj2017.01.0003. October 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Scales$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{herbrich_scales_2017,\n\ttitle = {Scales of {Water} {Retention} {Dynamics} {Observed} in {Eroded} {Luvisols} from an {Arable} {Postglacial} {Soil} {Landscape}},\n\tvolume = {16},\n\tissn = {15391663},\n\turl = {http://doi.wiley.com/10.2136/vzj2017.01.0003},\n\tdoi = {10.2136/vzj2017.01.0003},\n\tlanguage = {en},\n\tnumber = {10},\n\turldate = {2022-11-18},\n\tjournal = {Vadose Zone Journal},\n\tauthor = {Herbrich, Marcus and Gerke, Horst H.},\n\tmonth = oct,\n\tyear = {2017},\n\tpages = {vzj2017.01.0003},\n}\n\n

\n

\n\n\n\n

\n \n\n \n \n Herbrich, M.; Gerke, H. H.; Bens, O.; and Sommer, M.\n\n\n \n \n \n \n \n Water balance and leaching of dissolved organic and inorganic carbon of eroded Luvisols using high precision weighing lysimeters.\n \n \n \n \n\n\n \n\n\n\n Soil and Tillage Research, 165: 144–160. January 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Water$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{herbrich_water_2017,\n\ttitle = {Water balance and leaching of dissolved organic and inorganic carbon of eroded {Luvisols} using high precision weighing lysimeters},\n\tvolume = {165},\n\tissn = {01671987},\n\turl = {https://linkinghub.elsevier.com/retrieve/pii/S0167198716301520},\n\tdoi = {10.1016/j.still.2016.08.003},\n\tlanguage = {en},\n\turldate = {2022-11-18},\n\tjournal = {Soil and Tillage Research},\n\tauthor = {Herbrich, Marcus and Gerke, Horst H. and Bens, Oliver and Sommer, Michael},\n\tmonth = jan,\n\tyear = {2017},\n\tpages = {144--160},\n}\n\n

\n

\n\n\n\n

\n \n\n \n \n Hoffmann, M.; Schulz-Hanke, M.; Garcia Alba, J.; Jurisch, N.; Hagemann, U.; Sachs, T.; Sommer, M.; and Augustin, J.\n\n\n \n \n \n \n \n A simple calculation algorithm to separate high-resolution CH4 flux measurements into ebullition- and diffusion-derived components.\n \n \n \n \n\n\n \n\n\n\n Atmospheric Measurement Techniques, 10(1): 109–118. January 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"A$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{hoffmann_simple_2017,\n\ttitle = {A simple calculation algorithm to separate high-resolution {CH}\\&lt;sub\\&gt;4\\&lt;/sub\\&gt; flux measurements into ebullition- and diffusion-derived components},\n\tvolume = {10},\n\tissn = {1867-8548},\n\turl = {https://amt.copernicus.org/articles/10/109/2017/},\n\tdoi = {10.5194/amt-10-109-2017},\n\tabstract = {Abstract. Processes driving the production, transformation and transport of methane (CH4) in wetland ecosystems are highly complex. We present a simple calculation algorithm to separate open-water CH4 fluxes measured with automatic chambers into diffusion- and ebullition-derived components. This helps to reveal underlying dynamics, to identify potential environmental drivers and, thus, to calculate reliable CH4 emission estimates. The flux separation is based on identification of ebullition-related sudden concentration changes during single measurements. Therefore, a variable ebullition filter is applied, using the lower and upper quartile and the interquartile range (IQR). Automation of data processing is achieved by using an established R script, adjusted for the purpose of CH4 flux calculation. The algorithm was validated by performing a laboratory experiment and tested using flux measurement data (July to September 2013) from a former fen grassland site, which converted into a shallow lake as a result of rewetting. Ebullition and diffusion contributed equally (46 and 55 \\%) to total CH4 emissions, which is comparable to ratios given in the literature. Moreover, the separation algorithm revealed a concealed shift in the diurnal trend of diffusive fluxes throughout the measurement period. The water temperature gradient was identified as one of the major drivers of diffusive CH4 emissions, whereas no significant driver was found in the case of erratic CH4 ebullition events.},\n\tlanguage = {en},\n\tnumber = {1},\n\turldate = {2022-11-18},\n\tjournal = {Atmospheric Measurement Techniques},\n\tauthor = {Hoffmann, Mathias and Schulz-Hanke, Maximilian and Garcia Alba, Juana and Jurisch, Nicole and Hagemann, Ulrike and Sachs, Torsten and Sommer, Michael and Augustin, Jürgen},\n\tmonth = jan,\n\tyear = {2017},\n\tpages = {109--118},\n}\n\n

\n

\n\n\n\n\n\n

\n \n\n \n \n Inostroza, P. A.; Massei, R.; Wild, R.; Krauss, M.; and Brack, W.\n\n\n \n \n \n \n \n Chemical activity and distribution of emerging pollutants: Insights from a multi-compartment analysis of a freshwater system.\n \n \n \n \n\n\n \n\n\n\n Environmental Pollution, 231: 339–347. December 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Chemical$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{inostroza_chemical_2017,\n\ttitle = {Chemical activity and distribution of emerging pollutants: {Insights} from a multi-compartment analysis of a freshwater system},\n\tvolume = {231},\n\tissn = {02697491},\n\tshorttitle = {Chemical activity and distribution of emerging pollutants},\n\turl = {https://linkinghub.elsevier.com/retrieve/pii/S0269749117307315},\n\tdoi = {10.1016/j.envpol.2017.08.015},\n\tlanguage = {en},\n\turldate = {2022-11-18},\n\tjournal = {Environmental Pollution},\n\tauthor = {Inostroza, Pedro A. and Massei, Riccardo and Wild, Romy and Krauss, Martin and Brack, Werner},\n\tmonth = dec,\n\tyear = {2017},\n\tpages = {339--347},\n}\n\n

\n

\n\n\n\n

\n \n\n \n \n Jiang, C.; Séquaris, J.; Vereecken, H.; and Klumpp, E.\n\n\n \n \n \n \n \n Effects of temperature and associated organic carbon on the fractionation of water-dispersible colloids from three silt loam topsoils under different land use.\n \n \n \n \n\n\n \n\n\n\n Geoderma, 299: 43–53. August 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Effects$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{jiang_effects_2017,\n\ttitle = {Effects of temperature and associated organic carbon on the fractionation of water-dispersible colloids from three silt loam topsoils under different land use},\n\tvolume = {299},\n\tissn = {00167061},\n\turl = {https://linkinghub.elsevier.com/retrieve/pii/S0016706117303919},\n\tdoi = {10.1016/j.geoderma.2017.03.009},\n\tlanguage = {en},\n\turldate = {2022-11-18},\n\tjournal = {Geoderma},\n\tauthor = {Jiang, Canlan and Séquaris, Jean-Marie and Vereecken, Harry and Klumpp, Erwin},\n\tmonth = aug,\n\tyear = {2017},\n\tpages = {43--53},\n}\n\n

\n

\n\n\n\n

\n \n\n \n \n Jiang, X.; Bol, R.; Cade-Menun, B. J.; Nischwitz, V.; Willbold, S.; Bauke, S. L.; Vereecken, H.; Amelung, W.; and Klumpp, E.\n\n\n \n \n \n \n \n Colloid-bound and dissolved phosphorus species in topsoil water extracts along a grassland transect from Cambisol to Stagnosol.\n \n \n \n \n\n\n \n\n\n\n Biogeosciences, 14(5): 1153–1164. March 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Colloid-bound$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{jiang_colloid-bound_2017,\n\ttitle = {Colloid-bound and dissolved phosphorus species in topsoil water extracts along a grassland transect from {Cambisol} to {Stagnosol}},\n\tvolume = {14},\n\tissn = {1726-4189},\n\turl = {https://bg.copernicus.org/articles/14/1153/2017/},\n\tdoi = {10.5194/bg-14-1153-2017},\n\tabstract = {Abstract. Phosphorus (P) species in colloidal and dissolved soil fractions may have different distributions. To understand which P species are potentially involved, we obtained water extracts from the surface soils of a gradient from Cambisol, Stagnic Cambisol to Stagnosol from temperate grassland in Germany. These were filtered to  {\\textless}  450 nm, and divided into three procedurally defined fractions: small-sized colloids (20–450 nm), nano-sized colloids (1–20 nm), and dissolved P ({\\textless}  1 nm), using asymmetric flow field-flow fractionation (AF4), as well as filtration for solution 31P-nuclear magnetic resonance (NMR) spectroscopy. The total P of soil water extracts increased in the order Cambisol  {\\textless}  Stagnic Cambisol  {\\textless}  Stagnosol due to increasing contributions from the dissolved P fraction. Associations of C–Fe/Al–PO43−/pyrophosphate were absent in nano-sized (1–20 nm) colloids from the Cambisol but not in the Stagnosol. The 31P-NMR results indicated that this was accompanied by elevated portions of organic P in the order Cambisol  {\\textgreater}  Stagnic Cambisol  {\\textgreater}  Stagnosol. Across all soil types, elevated proportions of inositol hexakisphosphate (IHP) species (e.g., myo-, scyllo- and D-chiro-IHP) were associated with soil mineral particles (i.e., bulk soil and small-sized soil colloids), whereas other orthophosphate monoesters and phosphonates were found in the dissolved P fraction. We conclude that P species composition varies among colloidal and dissolved soil fractions after characterization using advanced techniques, i.e., AF4 and NMR. Furthermore, stagnic properties affect P speciation and availability by potentially releasing dissolved inorganic and ester-bound P forms as well as nano-sized organic matter–Fe/Al–P colloids.},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2022-11-18},\n\tjournal = {Biogeosciences},\n\tauthor = {Jiang, Xiaoqian and Bol, Roland and Cade-Menun, Barbara J. and Nischwitz, Volker and Willbold, Sabine and Bauke, Sara L. and Vereecken, Harry and Amelung, Wulf and Klumpp, Erwin},\n\tmonth = mar,\n\tyear = {2017},\n\tpages = {1153--1164},\n}\n\n

\n

\n\n\n\n\n\n

\n \n\n \n \n Jingxia Wang; and Banzhaf, E.\n\n\n \n \n \n \n \n Derive an understanding of Green Infrastructure for the quality of life in cities by means of integrated RS mapping tools.\n \n \n \n \n\n\n \n\n\n\n In 2017 Joint Urban Remote Sensing Event (JURSE), pages 1–4, Dubai, United Arab Emirates, March 2017. IEEE\n \n\n\n\n
\n\n\n\n \n \n $\"Derive$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@inproceedings{jingxia_wang_derive_2017,\n\taddress = {Dubai, United Arab Emirates},\n\ttitle = {Derive an understanding of {Green} {Infrastructure} for the quality of life in cities by means of integrated {RS} mapping tools},\n\tisbn = {9781509058082},\n\turl = {http://ieeexplore.ieee.org/document/7924585/},\n\tdoi = {10.1109/JURSE.2017.7924585},\n\turldate = {2022-11-18},\n\tbooktitle = {2017 {Joint} {Urban} {Remote} {Sensing} {Event} ({JURSE})},\n\tpublisher = {IEEE},\n\tauthor = {{Jingxia Wang} and Banzhaf, Ellen},\n\tmonth = mar,\n\tyear = {2017},\n\tpages = {1--4},\n}\n\n

\n

\n\n\n\n

\n \n\n \n \n Jäger, C. G.; Hagemann, J.; and Borchardt, D.\n\n\n \n \n \n \n \n Can nutrient pathways and biotic interactions control eutrophication in riverine ecosystems? Evidence from a model driven mesocosm experiment.\n \n \n \n \n\n\n \n\n\n\n Water Research, 115: 162–171. May 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Can$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{jager_can_2017,\n\ttitle = {Can nutrient pathways and biotic interactions control eutrophication in riverine ecosystems? {Evidence} from a model driven mesocosm experiment},\n\tvolume = {115},\n\tissn = {00431354},\n\tshorttitle = {Can nutrient pathways and biotic interactions control eutrophication in riverine ecosystems?},\n\turl = {https://linkinghub.elsevier.com/retrieve/pii/S0043135417301616},\n\tdoi = {10.1016/j.watres.2017.02.062},\n\tlanguage = {en},\n\turldate = {2022-11-18},\n\tjournal = {Water Research},\n\tauthor = {Jäger, Christoph G. and Hagemann, Jeske and Borchardt, Dietrich},\n\tmonth = may,\n\tyear = {2017},\n\tpages = {162--171},\n}\n\n

\n

\n\n\n\n

\n \n\n \n \n Karthe, D.; Chifflard, P.; Cyffka, B.; Menzel, L.; Nacken, H.; Raeder, U.; Sommerhäuser, M.; and Weiler, M.\n\n\n \n \n \n \n \n Water research in Germany: from the reconstruction of the Roman Rhine to a risk assessment for aquatic neophytes.\n \n \n \n \n\n\n \n\n\n\n Environmental Earth Sciences, 76(16): 549, s12665–017–6863–7. August 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Water$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{karthe_water_2017,\n\ttitle = {Water research in {Germany}: from the reconstruction of the {Roman} {Rhine} to a risk assessment for aquatic neophytes},\n\tvolume = {76},\n\tissn = {1866-6280, 1866-6299},\n\tshorttitle = {Water research in {Germany}},\n\turl = {http://link.springer.com/10.1007/s12665-017-6863-7},\n\tdoi = {10.1007/s12665-017-6863-7},\n\tlanguage = {en},\n\tnumber = {16},\n\turldate = {2022-11-18},\n\tjournal = {Environmental Earth Sciences},\n\tauthor = {Karthe, Daniel and Chifflard, Peter and Cyffka, Bernd and Menzel, Lucas and Nacken, Heribert and Raeder, Uta and Sommerhäuser, Mario and Weiler, Markus},\n\tmonth = aug,\n\tyear = {2017},\n\tpages = {549, s12665--017--6863--7},\n}\n\n

\n

\n\n\n\n

\n \n\n \n \n Karthe, D.; Lin, P.; and Westphal, K.\n\n\n \n \n \n \n \n Instream coliform gradients in the Holtemme, a small headwater stream in the Elbe River Basin, Northern Germany.\n \n \n \n \n\n\n \n\n\n\n Frontiers of Earth Science, 11(3): 544–553. September 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Instream$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{karthe_instream_2017,\n\ttitle = {Instream coliform gradients in the {Holtemme}, a small headwater stream in the {Elbe} {River} {Basin}, {Northern} {Germany}},\n\tvolume = {11},\n\tissn = {2095-0195, 2095-0209},\n\turl = {http://link.springer.com/10.1007/s11707-017-0648-x},\n\tdoi = {10.1007/s11707-017-0648-x},\n\tlanguage = {en},\n\tnumber = {3},\n\turldate = {2022-11-18},\n\tjournal = {Frontiers of Earth Science},\n\tauthor = {Karthe, Daniel and Lin, Pei-Ying and Westphal, Katja},\n\tmonth = sep,\n\tyear = {2017},\n\tpages = {544--553},\n}\n\n

\n

\n\n\n\n

\n \n\n \n \n Kienel, U.; Kirillin, G.; Brademann, B.; Plessen, B.; Lampe, R.; and Brauer, A.\n\n\n \n \n \n \n \n Effects of spring warming and mixing duration on diatom deposition in deep Tiefer See, NE Germany.\n \n \n \n \n\n\n \n\n\n\n Journal of Paleolimnology, 57(1): 37–49. January 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Effects$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{kienel_effects_2017,\n\ttitle = {Effects of spring warming and mixing duration on diatom deposition in deep {Tiefer} {See}, {NE} {Germany}},\n\tvolume = {57},\n\tissn = {0921-2728, 1573-0417},\n\turl = {http://link.springer.com/10.1007/s10933-016-9925-z},\n\tdoi = {10.1007/s10933-016-9925-z},\n\tlanguage = {en},\n\tnumber = {1},\n\turldate = {2022-11-18},\n\tjournal = {Journal of Paleolimnology},\n\tauthor = {Kienel, Ulrike and Kirillin, Georgiy and Brademann, Brian and Plessen, Birgit and Lampe, Reinhard and Brauer, Achim},\n\tmonth = jan,\n\tyear = {2017},\n\tpages = {37--49},\n}\n\n

\n

\n\n\n\n

\n \n\n \n \n Knapp, S.; Winter, M.; and Klotz, S.\n\n\n \n \n \n \n \n Increasing species richness but decreasing phylogenetic richness and divergence over a 320-year period of urbanization.\n \n \n \n \n\n\n \n\n\n\n Journal of Applied Ecology, 54(4): 1152–1160. August 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Increasing$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{knapp_increasing_2017,\n\ttitle = {Increasing species richness but decreasing phylogenetic richness and divergence over a 320-year period of urbanization},\n\tvolume = {54},\n\tissn = {00218901},\n\turl = {https://onlinelibrary.wiley.com/doi/10.1111/1365-2664.12826},\n\tdoi = {10.1111/1365-2664.12826},\n\tlanguage = {en},\n\tnumber = {4},\n\turldate = {2022-11-18},\n\tjournal = {Journal of Applied Ecology},\n\tauthor = {Knapp, Sonja and Winter, Marten and Klotz, Stefan},\n\teditor = {Bennett, Joseph},\n\tmonth = aug,\n\tyear = {2017},\n\tpages = {1152--1160},\n}\n\n

\n

\n\n\n\n

\n \n\n \n \n Kunz, J. V.; Annable, M. D.; Cho, J.; von Tümpling, W.; Hatfield, K.; Rao, S.; Borchardt, D.; and Rode, M.\n\n\n \n \n \n \n \n Quantifying nutrient fluxes with a new hyporheic passive flux meter (HPFM).\n \n \n \n \n\n\n \n\n\n\n Biogeosciences, 14(3): 631–649. February 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Quantifying$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{kunz_quantifying_2017,\n\ttitle = {Quantifying nutrient fluxes with a new hyporheic passive flux meter ({HPFM})},\n\tvolume = {14},\n\tissn = {1726-4189},\n\turl = {https://bg.copernicus.org/articles/14/631/2017/},\n\tdoi = {10.5194/bg-14-631-2017},\n\tabstract = {Abstract. The hyporheic zone is a hotspot of biogeochemical turnover and nutrient removal in running waters. However, nutrient fluxes through the hyporheic zone are highly variable in time and locally heterogeneous. Resulting from the lack of adequate methodologies to obtain representative long-term measurements, our quantitative knowledge on transport and turnover in this important transition zone is still limited.In groundwater systems passive flux meters, devices which simultaneously detect horizontal water and solute flow through a screen well in the subsurface, are valuable tools for measuring fluxes of target solutes and water through those ecosystems. Their functioning is based on accumulation of target substances on a sorbent and concurrent displacement of a resident tracer which is previously loaded on the sorbent.Here we evaluate the applicability of this methodology for investigating water and nutrient fluxes in hyporheic zones. Based on laboratory experiments we developed hyporheic passive flux meters (HPFMs) with a length of 50 cm which were separated in 5–7 segments allowing for vertical resolution of horizontal nutrient and water transport. The HPFMs were tested in a 7 day field campaign including simultaneous measurements of oxygen and temperature profiles and manual sampling of pore water. The results highlighted the advantages of the novel method: with HPFMs, cumulative values for the average N and P flux during the complete deployment time could be captured. Thereby the two major deficits of existing methods are overcome: first, flux rates are measured within one device instead of being calculated from separate measurements of water flow and pore-water concentrations; second, time-integrated measurements are insensitive to short-term fluctuations and therefore deliver more representable values for overall hyporheic nutrient fluxes at the sampling site than snapshots from grab sampling. A remaining limitation to the HPFM is the potential susceptibility to biofilm growth on the resin, an issue which was not considered in previous passive flux meter applications. Potential techniques to inhibit biofouling are discussed based on the results of the presented work. Finally, we exemplarily demonstrate how HPFM measurements can be used to explore hyporheic nutrient dynamics, specifically nitrate uptake rates, based on the measurements from our field test. Being low in costs and labour effective, many flux meters can be installed in order to capture larger areas of river beds. This novel technique has therefore the potential to deliver quantitative data which are required to answer unsolved questions about transport and turnover of nutrients in hyporheic zones.},\n\tlanguage = {en},\n\tnumber = {3},\n\turldate = {2022-11-18},\n\tjournal = {Biogeosciences},\n\tauthor = {Kunz, Julia Vanessa and Annable, Michael D. and Cho, Jaehyun and von Tümpling, Wolf and Hatfield, Kirk and Rao, Suresh and Borchardt, Dietrich and Rode, Michael},\n\tmonth = feb,\n\tyear = {2017},\n\tpages = {631--649},\n}\n\n

\n

\n\n\n

\n Abstract. The hyporheic zone is a hotspot of biogeochemical turnover and nutrient removal in running waters. However, nutrient fluxes through the hyporheic zone are highly variable in time and locally heterogeneous. Resulting from the lack of adequate methodologies to obtain representative long-term measurements, our quantitative knowledge on transport and turnover in this important transition zone is still limited.In groundwater systems passive flux meters, devices which simultaneously detect horizontal water and solute flow through a screen well in the subsurface, are valuable tools for measuring fluxes of target solutes and water through those ecosystems. Their functioning is based on accumulation of target substances on a sorbent and concurrent displacement of a resident tracer which is previously loaded on the sorbent.Here we evaluate the applicability of this methodology for investigating water and nutrient fluxes in hyporheic zones. Based on laboratory experiments we developed hyporheic passive flux meters (HPFMs) with a length of 50 cm which were separated in 5–7 segments allowing for vertical resolution of horizontal nutrient and water transport. The HPFMs were tested in a 7 day field campaign including simultaneous measurements of oxygen and temperature profiles and manual sampling of pore water. The results highlighted the advantages of the novel method: with HPFMs, cumulative values for the average N and P flux during the complete deployment time could be captured. Thereby the two major deficits of existing methods are overcome: first, flux rates are measured within one device instead of being calculated from separate measurements of water flow and pore-water concentrations; second, time-integrated measurements are insensitive to short-term fluctuations and therefore deliver more representable values for overall hyporheic nutrient fluxes at the sampling site than snapshots from grab sampling. A remaining limitation to the HPFM is the potential susceptibility to biofilm growth on the resin, an issue which was not considered in previous passive flux meter applications. Potential techniques to inhibit biofouling are discussed based on the results of the presented work. Finally, we exemplarily demonstrate how HPFM measurements can be used to explore hyporheic nutrient dynamics, specifically nitrate uptake rates, based on the measurements from our field test. Being low in costs and labour effective, many flux meters can be installed in order to capture larger areas of river beds. This novel technique has therefore the potential to deliver quantitative data which are required to answer unsolved questions about transport and turnover of nutrients in hyporheic zones.\n

\n\n\n

\n \n\n \n \n Kurtz, W.; Lapin, A.; Schilling, O. S.; Tang, Q.; Schiller, E.; Braun, T.; Hunkeler, D.; Vereecken, H.; Sudicky, E.; Kropf, P.; Hendricks Franssen, H.; and Brunner, P.\n\n\n \n \n \n \n \n Integrating hydrological modelling, data assimilation and cloud computing for real-time management of water resources.\n \n \n \n \n\n\n \n\n\n\n Environmental Modelling & Software, 93: 418–435. July 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Integrating$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{kurtz_integrating_2017,\n\ttitle = {Integrating hydrological modelling, data assimilation and cloud computing for real-time management of water resources},\n\tvolume = {93},\n\tissn = {13648152},\n\turl = {https://linkinghub.elsevier.com/retrieve/pii/S136481521630977X},\n\tdoi = {10.1016/j.envsoft.2017.03.011},\n\tlanguage = {en},\n\turldate = {2022-11-18},\n\tjournal = {Environmental Modelling \\& Software},\n\tauthor = {Kurtz, Wolfgang and Lapin, Andrei and Schilling, Oliver S. and Tang, Qi and Schiller, Eryk and Braun, Torsten and Hunkeler, Daniel and Vereecken, Harry and Sudicky, Edward and Kropf, Peter and Hendricks Franssen, Harrie-Jan and Brunner, Philip},\n\tmonth = jul,\n\tyear = {2017},\n\tpages = {418--435},\n}\n\n

\n

\n\n\n\n

\n \n\n \n \n Landl, M.; Huber, K.; Schnepf, A.; Vanderborght, J.; Javaux, M.; Glyn Bengough, A.; and Vereecken, H.\n\n\n \n \n \n \n \n A new model for root growth in soil with macropores.\n \n \n \n \n\n\n \n\n\n\n Plant and Soil, 415(1-2): 99–116. June 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"A$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{landl_new_2017,\n\ttitle = {A new model for root growth in soil with macropores},\n\tvolume = {415},\n\tissn = {0032-079X, 1573-5036},\n\turl = {http://link.springer.com/10.1007/s11104-016-3144-2},\n\tdoi = {10.1007/s11104-016-3144-2},\n\tlanguage = {en},\n\tnumber = {1-2},\n\turldate = {2022-11-18},\n\tjournal = {Plant and Soil},\n\tauthor = {Landl, Magdalena and Huber, Katrin and Schnepf, Andrea and Vanderborght, Jan and Javaux, Mathieu and Glyn Bengough, A. and Vereecken, Harry},\n\tmonth = jun,\n\tyear = {2017},\n\tpages = {99--116},\n}\n\n

\n

\n\n\n\n

\n \n\n \n \n Lange, M.; Dechant, B.; Rebmann, C.; Vohland, M.; Cuntz, M.; and Doktor, D.\n\n\n \n \n \n \n \n Validating MODIS and Sentinel-2 NDVI Products at a Temperate Deciduous Forest Site Using Two Independent Ground-Based Sensors.\n \n \n \n \n\n\n \n\n\n\n Sensors, 17(8): 1855. August 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Validating$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{lange_validating_2017,\n\ttitle = {Validating {MODIS} and {Sentinel}-2 {NDVI} {Products} at a {Temperate} {Deciduous} {Forest} {Site} {Using} {Two} {Independent} {Ground}-{Based} {Sensors}},\n\tvolume = {17},\n\tissn = {1424-8220},\n\turl = {http://www.mdpi.com/1424-8220/17/8/1855},\n\tdoi = {10.3390/s17081855},\n\tlanguage = {en},\n\tnumber = {8},\n\turldate = {2022-11-18},\n\tjournal = {Sensors},\n\tauthor = {Lange, Maximilian and Dechant, Benjamin and Rebmann, Corinna and Vohland, Michael and Cuntz, Matthias and Doktor, Daniel},\n\tmonth = aug,\n\tyear = {2017},\n\tpages = {1855},\n}\n\n

\n

\n\n\n\n

\n \n\n \n \n Lausch, A.; Erasmi, S.; King, D.; Magdon, P.; and Heurich, M.\n\n\n \n \n \n \n \n Understanding Forest Health with Remote Sensing-Part II—A Review of Approaches and Data Models.\n \n \n \n \n\n\n \n\n\n\n Remote Sensing, 9(2): 129. February 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Understanding$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{lausch_understanding_2017,\n\ttitle = {Understanding {Forest} {Health} with {Remote} {Sensing}-{Part} {II}—{A} {Review} of {Approaches} and {Data} {Models}},\n\tvolume = {9},\n\tissn = {2072-4292},\n\turl = {http://www.mdpi.com/2072-4292/9/2/129},\n\tdoi = {10.3390/rs9020129},\n\tlanguage = {en},\n\tnumber = {2},\n\turldate = {2022-11-18},\n\tjournal = {Remote Sensing},\n\tauthor = {Lausch, Angela and Erasmi, Stefan and King, Douglas and Magdon, Paul and Heurich, Marco},\n\tmonth = feb,\n\tyear = {2017},\n\tpages = {129},\n}\n\n

\n

\n\n\n\n

\n \n\n \n \n Lindauer, M.; Schmid, H. P.; Grote, R.; Steinbrecher, R.; Mauder, M.; and Wolpert, B.\n\n\n \n \n \n \n \n A Simple New Model for Incoming Solar Radiation Dependent Only on Screen-Level Relative Humidity.\n \n \n \n \n\n\n \n\n\n\n Journal of Applied Meteorology and Climatology, 56(7): 1817–1825. July 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"A$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{lindauer_simple_2017,\n\ttitle = {A {Simple} {New} {Model} for {Incoming} {Solar} {Radiation} {Dependent} {Only} on {Screen}-{Level} {Relative} {Humidity}},\n\tvolume = {56},\n\tissn = {1558-8424, 1558-8432},\n\turl = {https://journals.ametsoc.org/view/journals/apme/56/7/jamc-d-16-0085.1.xml},\n\tdoi = {10.1175/JAMC-D-16-0085.1},\n\tabstract = {Abstract \n             \n              Global incoming shortwave radiation (Rg) is the energy source for the majority of biogeochemical processes on Earth as well as for photovoltaic power production. Existing simple site-specific models to estimate Rg commonly use the daily range of air temperature as input variables. Here, the authors present a simple model for incoming shortwave radiation, requiring only screen-level relative humidity data (and site-specific astronomical information). The model was developed and parameterized using high-quality global radiation data covering a broad range of climate conditions. It was evaluated at independent sites, which were not involved in the process of model development and parameterization. The mean 1:1 slope was 1.02 with an average \n              r \n              2 \n              of 0.98. Normalized root-mean-square error (NRMSE) averaged at 43\\%. Despite its simplicity, the new model clearly outperforms conventional approaches, and it comes close to more labor- and data-intensive alternative models.},\n\tnumber = {7},\n\turldate = {2022-11-18},\n\tjournal = {Journal of Applied Meteorology and Climatology},\n\tauthor = {Lindauer, M. and Schmid, H. P. and Grote, R. and Steinbrecher, R. and Mauder, M. and Wolpert, B.},\n\tmonth = jul,\n\tyear = {2017},\n\tpages = {1817--1825},\n}\n\n

\n

\n\n\n\n\n\n

\n \n\n \n \n Liu, S.; Shao, Y.; Kunoth, A.; and Simmer, C.\n\n\n \n \n \n \n \n Impact of surface-heterogeneity on atmosphere and land-surface interactions.\n \n \n \n \n\n\n \n\n\n\n Environmental Modelling & Software, 88: 35–47. February 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Impact$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{liu_impact_2017,\n\ttitle = {Impact of surface-heterogeneity on atmosphere and land-surface interactions},\n\tvolume = {88},\n\tissn = {13648152},\n\turl = {https://linkinghub.elsevier.com/retrieve/pii/S1364815216309173},\n\tdoi = {10.1016/j.envsoft.2016.11.006},\n\tlanguage = {en},\n\turldate = {2022-11-18},\n\tjournal = {Environmental Modelling \\& Software},\n\tauthor = {Liu, Shaofeng and Shao, Yaping and Kunoth, Angela and Simmer, Clemens},\n\tmonth = feb,\n\tyear = {2017},\n\tpages = {35--47},\n}\n\n

\n

\n\n\n\n

\n \n\n \n \n Martin-Puertas, C.; Tjallingii, R.; Bloemsma, M.; and Brauer, A.\n\n\n \n \n \n \n \n Varved sediment responses to early Holocene climate and environmental changes in Lake Meerfelder Maar (Germany) obtained from multivariate analyses of micro X-ray fluorescence core scanning data: VARVED SEDIMENT RESPONSES IN LAKE MEERFELDER MAAR, GERMANY.\n \n \n \n \n\n\n \n\n\n\n Journal of Quaternary Science, 32(3): 427–436. April 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Varved$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{martin-puertas_varved_2017,\n\ttitle = {Varved sediment responses to early {Holocene} climate and environmental changes in {Lake} {Meerfelder} {Maar} ({Germany}) obtained from multivariate analyses of micro {X}-ray fluorescence core scanning data: {VARVED} {SEDIMENT} {RESPONSES} {IN} {LAKE} {MEERFELDER} {MAAR}, {GERMANY}},\n\tvolume = {32},\n\tissn = {02678179},\n\tshorttitle = {Varved sediment responses to early {Holocene} climate and environmental changes in {Lake} {Meerfelder} {Maar} ({Germany}) obtained from multivariate analyses of micro {X}-ray fluorescence core scanning data},\n\turl = {https://onlinelibrary.wiley.com/doi/10.1002/jqs.2935},\n\tdoi = {10.1002/jqs.2935},\n\tlanguage = {en},\n\tnumber = {3},\n\turldate = {2022-11-18},\n\tjournal = {Journal of Quaternary Science},\n\tauthor = {Martin-Puertas, Celia and Tjallingii, Rik and Bloemsma, Menno and Brauer, Achim},\n\tmonth = apr,\n\tyear = {2017},\n\tpages = {427--436},\n}\n\n

\n

\n\n\n\n

\n \n\n \n \n Martini, E.; Werban, U.; Zacharias, S.; Pohle, M.; Dietrich, P.; and Wollschläger, U.\n\n\n \n \n \n \n \n Repeated electromagnetic induction measurements for mapping soil moisture at the field scale: validation with data from a wireless soil moisture monitoring network.\n \n \n \n \n\n\n \n\n\n\n Hydrology and Earth System Sciences, 21(1): 495–513. January 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Repeated$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{martini_repeated_2017,\n\ttitle = {Repeated electromagnetic induction measurements for mapping soil moisture at the field scale: validation with data from a wireless soil moisture monitoring network},\n\tvolume = {21},\n\tissn = {1607-7938},\n\tshorttitle = {Repeated electromagnetic induction measurements for mapping soil moisture at the field scale},\n\turl = {https://hess.copernicus.org/articles/21/495/2017/},\n\tdoi = {10.5194/hess-21-495-2017},\n\tabstract = {Abstract. Electromagnetic induction (EMI) measurements are widely used for soil mapping, as they allow fast and relatively low-cost surveys of soil apparent electrical conductivity (ECa). Although the use of non-invasive EMI for imaging spatial soil properties is very attractive, the dependence of ECa on several factors challenges any interpretation with respect to individual soil properties or states such as soil moisture (θ). The major aim of this study was to further investigate the potential of repeated EMI measurements to map θ, with particular focus on the temporal variability of the spatial patterns of ECa and θ. To this end, we compared repeated EMI measurements with high-resolution θ data from a wireless soil moisture and soil temperature monitoring network for an extensively managed hillslope area for which soil properties and θ dynamics are known. For the investigated site, (i) ECa showed small temporal variations whereas θ varied from very dry to almost saturation, (ii) temporal changes of the spatial pattern of ECa differed from those of the spatial pattern of θ, and (iii) the ECa–θ relationship varied with time. Results suggest that (i) depending upon site characteristics, stable soil properties can be the major control of ECa measured with EMI, and (ii) for soils with low clay content, the influence of θ on ECa may be confounded by changes of the electrical conductivity of the soil solution. Further, this study discusses the complex interplay between factors controlling ECa and θ, and the use of EMI-based ECa data with respect to hydrological applications.},\n\tlanguage = {en},\n\tnumber = {1},\n\turldate = {2022-11-18},\n\tjournal = {Hydrology and Earth System Sciences},\n\tauthor = {Martini, Edoardo and Werban, Ulrike and Zacharias, Steffen and Pohle, Marco and Dietrich, Peter and Wollschläger, Ute},\n\tmonth = jan,\n\tyear = {2017},\n\tpages = {495--513},\n}\n\n

\n

\n\n\n\n\n\n

\n \n\n \n \n Martini, E.; Wollschläger, U.; Musolff, A.; Werban, U.; and Zacharias, S.\n\n\n \n \n \n \n \n Principal Component Analysis of the Spatiotemporal Pattern of Soil Moisture and Apparent Electrical Conductivity.\n \n \n \n \n\n\n \n\n\n\n Vadose Zone Journal, 16(10): vzj2016.12.0129. October 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Principal$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{martini_principal_2017,\n\ttitle = {Principal {Component} {Analysis} of the {Spatiotemporal} {Pattern} of {Soil} {Moisture} and {Apparent} {Electrical} {Conductivity}},\n\tvolume = {16},\n\tissn = {15391663},\n\turl = {http://doi.wiley.com/10.2136/vzj2016.12.0129},\n\tdoi = {10.2136/vzj2016.12.0129},\n\tlanguage = {en},\n\tnumber = {10},\n\turldate = {2022-11-18},\n\tjournal = {Vadose Zone Journal},\n\tauthor = {Martini, Edoardo and Wollschläger, Ute and Musolff, Andreas and Werban, Ulrike and Zacharias, Steffen},\n\tmonth = oct,\n\tyear = {2017},\n\tpages = {vzj2016.12.0129},\n}\n\n

\n

\n\n\n\n

\n \n\n \n \n Meyer, N.; Bornemann, L.; Welp, G.; Schiedung, H.; Herbst, M.; and Amelung, W.\n\n\n \n \n \n \n \n Carbon saturation drives spatial patterns of soil organic matter losses under long-term bare fallow.\n \n \n \n \n\n\n \n\n\n\n Geoderma, 306: 89–98. November 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Carbon$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{meyer_carbon_2017,\n\ttitle = {Carbon saturation drives spatial patterns of soil organic matter losses under long-term bare fallow},\n\tvolume = {306},\n\tissn = {00167061},\n\turl = {https://linkinghub.elsevier.com/retrieve/pii/S0016706117305864},\n\tdoi = {10.1016/j.geoderma.2017.07.004},\n\tlanguage = {en},\n\turldate = {2022-11-18},\n\tjournal = {Geoderma},\n\tauthor = {Meyer, N. and Bornemann, L. and Welp, G. and Schiedung, H. and Herbst, M. and Amelung, W.},\n\tmonth = nov,\n\tyear = {2017},\n\tpages = {89--98},\n}\n\n

\n

\n\n\n\n

\n \n\n \n \n Meyer, N.; Welp, G.; Bornemann, L.; and Amelung, W.\n\n\n \n \n \n \n \n Microbial nitrogen mining affects spatio-temporal patterns of substrate-induced respiration during seven years of bare fallow.\n \n \n \n \n\n\n \n\n\n\n Soil Biology and Biochemistry, 104: 175–184. January 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Microbial$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{meyer_microbial_2017,\n\ttitle = {Microbial nitrogen mining affects spatio-temporal patterns of substrate-induced respiration during seven years of bare fallow},\n\tvolume = {104},\n\tissn = {00380717},\n\turl = {https://linkinghub.elsevier.com/retrieve/pii/S0038071716302887},\n\tdoi = {10.1016/j.soilbio.2016.10.019},\n\tlanguage = {en},\n\turldate = {2022-11-18},\n\tjournal = {Soil Biology and Biochemistry},\n\tauthor = {Meyer, Nele and Welp, Gerhard and Bornemann, Ludger and Amelung, Wulf},\n\tmonth = jan,\n\tyear = {2017},\n\tpages = {175--184},\n}\n\n

\n

\n\n\n\n

\n \n\n \n \n Montzka, C.; Bogena, H.; Zreda, M.; Monerris, A.; Morrison, R.; Muddu, S.; and Vereecken, H.\n\n\n \n \n \n \n \n Validation of Spaceborne and Modelled Surface Soil Moisture Products with Cosmic-Ray Neutron Probes.\n \n \n \n \n\n\n \n\n\n\n Remote Sensing, 9(2): 103. January 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Validation$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{montzka_validation_2017,\n\ttitle = {Validation of {Spaceborne} and {Modelled} {Surface} {Soil} {Moisture} {Products} with {Cosmic}-{Ray} {Neutron} {Probes}},\n\tvolume = {9},\n\tissn = {2072-4292},\n\turl = {http://www.mdpi.com/2072-4292/9/2/103},\n\tdoi = {10.3390/rs9020103},\n\tlanguage = {en},\n\tnumber = {2},\n\turldate = {2022-11-18},\n\tjournal = {Remote Sensing},\n\tauthor = {Montzka, Carsten and Bogena, Heye and Zreda, Marek and Monerris, Alessandra and Morrison, Ross and Muddu, Sekhar and Vereecken, Harry},\n\tmonth = jan,\n\tyear = {2017},\n\tpages = {103},\n}\n\n

\n

\n\n\n\n

\n \n\n \n \n Morling, K.; Herzsprung, P.; and Kamjunke, N.\n\n\n \n \n \n \n \n Discharge determines production of, decomposition of and quality changes in dissolved organic carbon in pre-dams of drinking water reservoirs.\n \n \n \n \n\n\n \n\n\n\n Science of The Total Environment, 577: 329–339. January 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Discharge$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{morling_discharge_2017,\n\ttitle = {Discharge determines production of, decomposition of and quality changes in dissolved organic carbon in pre-dams of drinking water reservoirs},\n\tvolume = {577},\n\tissn = {00489697},\n\turl = {https://linkinghub.elsevier.com/retrieve/pii/S0048969716323804},\n\tdoi = {10.1016/j.scitotenv.2016.10.192},\n\tlanguage = {en},\n\turldate = {2022-11-18},\n\tjournal = {Science of The Total Environment},\n\tauthor = {Morling, Karoline and Herzsprung, Peter and Kamjunke, Norbert},\n\tmonth = jan,\n\tyear = {2017},\n\tpages = {329--339},\n}\n\n

\n

\n\n\n\n

\n \n\n \n \n Morling, K.; Raeke, J.; Kamjunke, N.; Reemtsma, T.; and Tittel, J.\n\n\n \n \n \n \n \n Tracing Aquatic Priming Effect During Microbial Decomposition of Terrestrial Dissolved Organic Carbon in Chemostat Experiments.\n \n \n \n \n\n\n \n\n\n\n Microbial Ecology, 74(3): 534–549. October 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Tracing$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{morling_tracing_2017,\n\ttitle = {Tracing {Aquatic} {Priming} {Effect} {During} {Microbial} {Decomposition} of {Terrestrial} {Dissolved} {Organic} {Carbon} in {Chemostat} {Experiments}},\n\tvolume = {74},\n\tissn = {0095-3628, 1432-184X},\n\turl = {http://link.springer.com/10.1007/s00248-017-0976-0},\n\tdoi = {10.1007/s00248-017-0976-0},\n\tlanguage = {en},\n\tnumber = {3},\n\turldate = {2022-11-18},\n\tjournal = {Microbial Ecology},\n\tauthor = {Morling, Karoline and Raeke, Julia and Kamjunke, Norbert and Reemtsma, Thorsten and Tittel, Jörg},\n\tmonth = oct,\n\tyear = {2017},\n\tpages = {534--549},\n}\n\n

\n

\n\n\n\n

\n \n\n \n \n Munz, M.; and Schmidt, C.\n\n\n \n \n \n \n \n Estimation of vertical water fluxes from temperature time series by the inverse numerical computer program FLUX-BOT.\n \n \n \n \n\n\n \n\n\n\n Hydrological Processes, 31(15): 2713–2724. July 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Estimation$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{munz_estimation_2017,\n\ttitle = {Estimation of vertical water fluxes from temperature time series by the inverse numerical computer program {FLUX}-{BOT}},\n\tvolume = {31},\n\tissn = {08856087},\n\turl = {https://onlinelibrary.wiley.com/doi/10.1002/hyp.11198},\n\tdoi = {10.1002/hyp.11198},\n\tlanguage = {en},\n\tnumber = {15},\n\turldate = {2022-11-18},\n\tjournal = {Hydrological Processes},\n\tauthor = {Munz, Matthias and Schmidt, Christian},\n\tmonth = jul,\n\tyear = {2017},\n\tpages = {2713--2724},\n}\n\n

\n

\n\n\n\n

\n \n\n \n \n Münze, R.; Hannemann, C.; Orlinskiy, P.; Gunold, R.; Paschke, A.; Foit, K.; Becker, J.; Kaske, O.; Paulsson, E.; Peterson, M.; Jernstedt, H.; Kreuger, J.; Schüürmann, G.; and Liess, M.\n\n\n \n \n \n \n \n Pesticides from wastewater treatment plant effluents affect invertebrate communities.\n \n \n \n \n\n\n \n\n\n\n Science of The Total Environment, 599-600: 387–399. December 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Pesticides$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{munze_pesticides_2017,\n\ttitle = {Pesticides from wastewater treatment plant effluents affect invertebrate communities},\n\tvolume = {599-600},\n\tissn = {00489697},\n\turl = {https://linkinghub.elsevier.com/retrieve/pii/S0048969717305132},\n\tdoi = {10.1016/j.scitotenv.2017.03.008},\n\tlanguage = {en},\n\turldate = {2022-11-18},\n\tjournal = {Science of The Total Environment},\n\tauthor = {Münze, Ronald and Hannemann, Christin and Orlinskiy, Polina and Gunold, Roman and Paschke, Albrecht and Foit, Kaarina and Becker, Jeremias and Kaske, Oliver and Paulsson, Elin and Peterson, Märit and Jernstedt, Henrik and Kreuger, Jenny and Schüürmann, Gerrit and Liess, Matthias},\n\tmonth = dec,\n\tyear = {2017},\n\tpages = {387--399},\n}\n\n

\n

\n\n\n\n

\n \n\n \n \n Papanikolaou, A. D.; Kühn, I.; Frenzel, M.; and Schweiger, O.\n\n\n \n \n \n \n \n Semi-natural habitats mitigate the effects of temperature rise on wild bees.\n \n \n \n \n\n\n \n\n\n\n Journal of Applied Ecology, 54(2): 527–536. April 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Semi-natural$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{papanikolaou_semi-natural_2017,\n\ttitle = {Semi-natural habitats mitigate the effects of temperature rise on wild bees},\n\tvolume = {54},\n\tissn = {00218901},\n\turl = {https://onlinelibrary.wiley.com/doi/10.1111/1365-2664.12763},\n\tdoi = {10.1111/1365-2664.12763},\n\tlanguage = {en},\n\tnumber = {2},\n\turldate = {2022-11-18},\n\tjournal = {Journal of Applied Ecology},\n\tauthor = {Papanikolaou, Alexandra D. and Kühn, Ingolf and Frenzel, Mark and Schweiger, Oliver},\n\teditor = {Kleijn, David},\n\tmonth = apr,\n\tyear = {2017},\n\tpages = {527--536},\n}\n\n

\n

\n\n\n\n

\n \n\n \n \n Peters, A.; Groh, J.; Schrader, F.; Durner, W.; Vereecken, H.; and Pütz, T.\n\n\n \n \n \n \n \n Towards an unbiased filter routine to determine precipitation and evapotranspiration from high precision lysimeter measurements.\n \n \n \n \n\n\n \n\n\n\n Journal of Hydrology, 549: 731–740. June 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Towards$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{peters_towards_2017,\n\ttitle = {Towards an unbiased filter routine to determine precipitation and evapotranspiration from high precision lysimeter measurements},\n\tvolume = {549},\n\tissn = {00221694},\n\turl = {https://linkinghub.elsevier.com/retrieve/pii/S0022169417302330},\n\tdoi = {10.1016/j.jhydrol.2017.04.015},\n\tlanguage = {en},\n\turldate = {2022-11-18},\n\tjournal = {Journal of Hydrology},\n\tauthor = {Peters, Andre and Groh, Jannis and Schrader, Frederik and Durner, Wolfgang and Vereecken, Harry and Pütz, Thomas},\n\tmonth = jun,\n\tyear = {2017},\n\tpages = {731--740},\n}\n\n

\n

\n\n\n\n

\n \n\n \n \n Post, H.; Vrugt, J. A.; Fox, A.; Vereecken, H.; and Hendricks Franssen, H.\n\n\n \n \n \n \n \n Estimation of Community Land Model parameters for an improved assessment of net carbon fluxes at European sites: Estimation of CLM Parameters.\n \n \n \n \n\n\n \n\n\n\n Journal of Geophysical Research: Biogeosciences, 122(3): 661–689. March 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Estimation$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{post_estimation_2017,\n\ttitle = {Estimation of {Community} {Land} {Model} parameters for an improved assessment of net carbon fluxes at {European} sites: {Estimation} of {CLM} {Parameters}},\n\tvolume = {122},\n\tissn = {21698953},\n\tshorttitle = {Estimation of {Community} {Land} {Model} parameters for an improved assessment of net carbon fluxes at {European} sites},\n\turl = {http://doi.wiley.com/10.1002/2015JG003297},\n\tdoi = {10.1002/2015JG003297},\n\tlanguage = {en},\n\tnumber = {3},\n\turldate = {2022-11-18},\n\tjournal = {Journal of Geophysical Research: Biogeosciences},\n\tauthor = {Post, Hanna and Vrugt, Jasper A. and Fox, Andrew and Vereecken, Harry and Hendricks Franssen, Harrie-Jan},\n\tmonth = mar,\n\tyear = {2017},\n\tpages = {661--689},\n}\n\n

\n

\n\n\n\n

\n \n\n \n \n Rach, O.; Engels, S.; Kahmen, A.; Brauer, A.; Martín-Puertas, C.; van Geel, B.; and Sachse, D.\n\n\n \n \n \n \n \n Hydrological and ecological changes in western Europe between 3200 and 2000 years BP derived from lipid biomarker δD values in lake Meerfelder Maar sediments.\n \n \n \n \n\n\n \n\n\n\n Quaternary Science Reviews, 172: 44–54. September 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Hydrological$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{rach_hydrological_2017,\n\ttitle = {Hydrological and ecological changes in western {Europe} between 3200 and 2000 years {BP} derived from lipid biomarker δ{D} values in lake {Meerfelder} {Maar} sediments},\n\tvolume = {172},\n\tissn = {02773791},\n\turl = {https://linkinghub.elsevier.com/retrieve/pii/S0277379117302305},\n\tdoi = {10.1016/j.quascirev.2017.07.019},\n\tlanguage = {en},\n\turldate = {2022-11-18},\n\tjournal = {Quaternary Science Reviews},\n\tauthor = {Rach, O. and Engels, S. and Kahmen, A. and Brauer, A. and Martín-Puertas, C. and van Geel, B. and Sachse, D.},\n\tmonth = sep,\n\tyear = {2017},\n\tpages = {44--54},\n}\n\n

\n

\n\n\n\n

\n \n\n \n \n Rach, O.; Kahmen, A.; Brauer, A.; and Sachse, D.\n\n\n \n \n \n \n \n A dual-biomarker approach for quantification of changes in relative humidity from sedimentary lipid D∕H ratios.\n \n \n \n \n\n\n \n\n\n\n Climate of the Past, 13(7): 741–757. July 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"A$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{rach_dual-biomarker_2017,\n\ttitle = {A dual-biomarker approach for quantification of changes in relative humidity from sedimentary lipid \\&lt;i\\&gt;{D}\\&lt;/i\\&gt;∕\\&lt;i\\&gt;{H}\\&lt;/i\\&gt; ratios},\n\tvolume = {13},\n\tissn = {1814-9332},\n\turl = {https://cp.copernicus.org/articles/13/741/2017/},\n\tdoi = {10.5194/cp-13-741-2017},\n\tabstract = {Abstract. Past climatic change can be reconstructed from sedimentary archives by a number of proxies. However, few methods exist to directly estimate hydrological changes and even fewer result in quantitative data, impeding our understanding of the timing, magnitude and mechanisms of hydrological changes. Here we present a novel approach based on δ2H values of sedimentary lipid biomarkers in combination with plant physiological modeling to extract quantitative information on past changes in relative humidity. Our initial application to an annually laminated lacustrine sediment sequence from western Europe deposited during the Younger Dryas cold period revealed relative humidity changes of up to 15 \\% over sub-centennial timescales, leading to major ecosystem changes, in agreement with palynological data from the region. We show that by combining organic geochemical methods and mechanistic plant physiological models on well characterized lacustrine archives it is possible to extract quantitative ecohydrological parameters from sedimentary lipid biomarker δ2H data.},\n\tlanguage = {en},\n\tnumber = {7},\n\turldate = {2022-11-18},\n\tjournal = {Climate of the Past},\n\tauthor = {Rach, Oliver and Kahmen, Ansgar and Brauer, Achim and Sachse, Dirk},\n\tmonth = jul,\n\tyear = {2017},\n\tpages = {741--757},\n}\n\n

\n

\n\n\n\n\n\n

\n \n\n \n \n Schiedung, H.; Bornemann, L.; and Welp, G.\n\n\n \n \n \n \n \n Seasonal Variability of Soil Organic Carbon Fractions Under Arable Land.\n \n \n \n \n\n\n \n\n\n\n Pedosphere, 27(2): 380–386. April 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Seasonal$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{schiedung_seasonal_2017,\n\ttitle = {Seasonal {Variability} of {Soil} {Organic} {Carbon} {Fractions} {Under} {Arable} {Land}},\n\tvolume = {27},\n\tissn = {10020160},\n\turl = {https://linkinghub.elsevier.com/retrieve/pii/S1002016017603266},\n\tdoi = {10.1016/S1002-0160(17)60326-6},\n\tlanguage = {en},\n\tnumber = {2},\n\turldate = {2022-11-18},\n\tjournal = {Pedosphere},\n\tauthor = {Schiedung, Henning and Bornemann, Ludger and Welp, Gerhard},\n\tmonth = apr,\n\tyear = {2017},\n\tpages = {380--386},\n}\n\n

\n

\n\n\n\n

\n \n\n \n \n Schiedung, H.; Tilly, N.; Hütt, C.; Welp, G.; Brüggemann, N.; and Amelung, W.\n\n\n \n \n \n \n \n Spatial controls of topsoil and subsoil organic carbon turnover under C3–C4 vegetation change.\n \n \n \n \n\n\n \n\n\n\n Geoderma, 303: 44–51. October 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Spatial$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{schiedung_spatial_2017,\n\ttitle = {Spatial controls of topsoil and subsoil organic carbon turnover under {C3}–{C4} vegetation change},\n\tvolume = {303},\n\tissn = {00167061},\n\turl = {https://linkinghub.elsevier.com/retrieve/pii/S0016706116308886},\n\tdoi = {10.1016/j.geoderma.2017.05.006},\n\tlanguage = {en},\n\turldate = {2022-11-18},\n\tjournal = {Geoderma},\n\tauthor = {Schiedung, H. and Tilly, N. and Hütt, C. and Welp, G. and Brüggemann, N. and Amelung, W.},\n\tmonth = oct,\n\tyear = {2017},\n\tpages = {44--51},\n}\n\n

\n

\n\n\n\n

\n \n\n \n \n Schmidt, J.; Fassnacht, F. E.; Lausch, A.; and Schmidtlein, S.\n\n\n \n \n \n \n \n Assessing the functional signature of heathland landscapes via hyperspectral remote sensing.\n \n \n \n \n\n\n \n\n\n\n Ecological Indicators, 73: 505–512. February 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Assessing$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{schmidt_assessing_2017,\n\ttitle = {Assessing the functional signature of heathland landscapes via hyperspectral remote sensing},\n\tvolume = {73},\n\tissn = {1470160X},\n\turl = {https://linkinghub.elsevier.com/retrieve/pii/S1470160X16306033},\n\tdoi = {10.1016/j.ecolind.2016.10.017},\n\tlanguage = {en},\n\turldate = {2022-11-18},\n\tjournal = {Ecological Indicators},\n\tauthor = {Schmidt, Johannes and Fassnacht, Fabian Ewald and Lausch, Angela and Schmidtlein, Sebastian},\n\tmonth = feb,\n\tyear = {2017},\n\tpages = {505--512},\n}\n\n

\n

\n\n\n\n

\n \n\n \n \n Schollaen, K.; Baschek, H.; Heinrich, I.; Slotta, F.; Pauly, M.; and Helle, G.\n\n\n \n \n \n \n \n A guideline for sample preparation in modern tree-ring stable isotope research.\n \n \n \n \n\n\n \n\n\n\n Dendrochronologia, 44: 133–145. June 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"A$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{schollaen_guideline_2017,\n\ttitle = {A guideline for sample preparation in modern tree-ring stable isotope research},\n\tvolume = {44},\n\tissn = {11257865},\n\turl = {https://linkinghub.elsevier.com/retrieve/pii/S1125786516301606},\n\tdoi = {10.1016/j.dendro.2017.05.002},\n\tlanguage = {en},\n\turldate = {2022-11-18},\n\tjournal = {Dendrochronologia},\n\tauthor = {Schollaen, Karina and Baschek, Heiko and Heinrich, Ingo and Slotta, Franziska and Pauly, Maren and Helle, Gerhard},\n\tmonth = jun,\n\tyear = {2017},\n\tpages = {133--145},\n}\n\n

\n

\n\n\n\n

\n \n\n \n \n Schröter, I.; Paasche, H.; Doktor, D.; Xu, X.; Dietrich, P.; and Wollschläger, U.\n\n\n \n \n \n \n \n Estimating Soil Moisture Patterns with Remote Sensing and Terrain Data at the Small Catchment Scale.\n \n \n \n \n\n\n \n\n\n\n Vadose Zone Journal, 16(10): vzj2017.01.0012. October 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Estimating$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{schroter_estimating_2017,\n\ttitle = {Estimating {Soil} {Moisture} {Patterns} with {Remote} {Sensing} and {Terrain} {Data} at the {Small} {Catchment} {Scale}},\n\tvolume = {16},\n\tissn = {15391663},\n\turl = {http://doi.wiley.com/10.2136/vzj2017.01.0012},\n\tdoi = {10.2136/vzj2017.01.0012},\n\tlanguage = {en},\n\tnumber = {10},\n\turldate = {2022-11-18},\n\tjournal = {Vadose Zone Journal},\n\tauthor = {Schröter, Ingmar and Paasche, Hendrik and Doktor, Daniel and Xu, Xingmei and Dietrich, Peter and Wollschläger, Ute},\n\tmonth = oct,\n\tyear = {2017},\n\tpages = {vzj2017.01.0012},\n}\n\n

\n

\n\n\n\n

\n \n\n \n \n Stadler, J.; Klotz, S.; Brandl, R.; and Knapp, S.\n\n\n \n \n \n \n \n Species richness and phylogenetic structure in plant communities: 20 years of succession.\n \n \n \n \n\n\n \n\n\n\n Web Ecology, 17(2): 37–46. August 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Species$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{stadler_species_2017,\n\ttitle = {Species richness and phylogenetic structure in plant communities: 20 years of succession},\n\tvolume = {17},\n\tissn = {1399-1183},\n\tshorttitle = {Species richness and phylogenetic structure in plant communities},\n\turl = {https://we.copernicus.org/articles/17/37/2017/},\n\tdoi = {10.5194/we-17-37-2017},\n\tabstract = {Abstract. Secondary succession on arable fields is a popular system for studying processes influencing community assembly of plants. During early succession, the arrival and establishment of those propagules that can pass the environmental filters operating at a given site should be among the dominant processes leading to an initial increase in species richness. With ongoing succession, environmental filtering should decrease in relative importance compared to competitive interactions, which then should decrease species richness. Thereby, the phylogenetic structure of communities should change from random or clustered patterns during early succession to overdispersion. Disturbance is supposed to act as an additional filter, causing communities to be phylogenetically clustered. By analysing the species richness and phylogenetic structure of secondary succession in two different regions in Germany with three different disturbance levels each, we tested this general model. Although in one of the regions (Gimritz) we found the expected trajectory of species richness, phylogenetic structure did not follow the expected trend from random or clustered towards overdispersed communities. In the other region (Bayreuth), species richness did not follow the expected trajectory and phylogenetic structure remained clustered over the course of succession. A preliminary analysis of autecological characteristics of the species involved (Ellenberg indicator values) nevertheless showed clear contrasting trends. The idiosyncrasies of successional trajectories across sites might be due to the environmental context, the regional species pool as well as the legacy of former land use reflected in the seed bank.},\n\tlanguage = {en},\n\tnumber = {2},\n\turldate = {2022-11-18},\n\tjournal = {Web Ecology},\n\tauthor = {Stadler, Jutta and Klotz, Stefan and Brandl, Roland and Knapp, Sonja},\n\tmonth = aug,\n\tyear = {2017},\n\tpages = {37--46},\n}\n\n

\n

\n\n\n\n\n\n

\n \n\n \n \n Stockinger, M. P.; Lücke, A.; Vereecken, H.; and Bogena, H. R.\n\n\n \n \n \n \n \n Accounting for seasonal isotopic patterns of forest canopy intercepted precipitation in streamflow modeling.\n \n \n \n \n\n\n \n\n\n\n Journal of Hydrology, 555: 31–40. December 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Accounting$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{stockinger_accounting_2017,\n\ttitle = {Accounting for seasonal isotopic patterns of forest canopy intercepted precipitation in streamflow modeling},\n\tvolume = {555},\n\tissn = {00221694},\n\turl = {https://linkinghub.elsevier.com/retrieve/pii/S0022169417306674},\n\tdoi = {10.1016/j.jhydrol.2017.10.003},\n\tlanguage = {en},\n\turldate = {2022-11-18},\n\tjournal = {Journal of Hydrology},\n\tauthor = {Stockinger, Michael P. and Lücke, Andreas and Vereecken, Harry and Bogena, Heye R.},\n\tmonth = dec,\n\tyear = {2017},\n\tpages = {31--40},\n}\n\n

\n

\n\n\n\n

\n \n\n \n \n Słowiński, M.; Zawiska, I.; Ott, F.; Noryśkiewicz, A. M.; Plessen, B.; Apolinarska, K.; Rzodkiewicz, M.; Michczyńska, D. J.; Wulf, S.; Skubała, P.; Kordowski, J.; Błaszkiewicz, M.; and Brauer, A.\n\n\n \n \n \n \n \n Differential proxy responses to late Allerød and early Younger Dryas climatic change recorded in varved sediments of the Trzechowskie palaeolake in Northern Poland.\n \n \n \n \n\n\n \n\n\n\n Quaternary Science Reviews, 158: 94–106. February 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Differential$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{slowinski_differential_2017,\n\ttitle = {Differential proxy responses to late {Allerød} and early {Younger} {Dryas} climatic change recorded in varved sediments of the {Trzechowskie} palaeolake in {Northern} {Poland}},\n\tvolume = {158},\n\tissn = {02773791},\n\turl = {https://linkinghub.elsevier.com/retrieve/pii/S0277379117300161},\n\tdoi = {10.1016/j.quascirev.2017.01.005},\n\tlanguage = {en},\n\turldate = {2022-11-18},\n\tjournal = {Quaternary Science Reviews},\n\tauthor = {Słowiński, Michał and Zawiska, Izabela and Ott, Florian and Noryśkiewicz, Agnieszka M. and Plessen, Birgit and Apolinarska, Karina and Rzodkiewicz, Monika and Michczyńska, Danuta J. and Wulf, Sabine and Skubała, Piotr and Kordowski, Jarosław and Błaszkiewicz, Mirosław and Brauer, Achim},\n\tmonth = feb,\n\tyear = {2017},\n\tpages = {94--106},\n}\n\n

\n

\n\n\n\n

\n \n\n \n \n Tecklenburg, C.; and Blume, T.\n\n\n \n \n \n \n \n Identifying, characterizing and predicting spatial patterns of lacustrine groundwater discharge.\n \n \n \n \n\n\n \n\n\n\n Hydrology and Earth System Sciences, 21(10): 5043–5063. October 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Identifying,$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{tecklenburg_identifying_2017,\n\ttitle = {Identifying, characterizing and predicting spatial patterns of lacustrine groundwater discharge},\n\tvolume = {21},\n\tissn = {1607-7938},\n\turl = {https://hess.copernicus.org/articles/21/5043/2017/},\n\tdoi = {10.5194/hess-21-5043-2017},\n\tabstract = {Abstract. Lacustrine groundwater discharge (LGD) can significantly affect lake water balances and lake water quality. However, quantifying LGD and its spatial patterns is challenging because of the large spatial extent of the aquifer–lake interface and pronounced spatial variability. This is the first experimental study to specifically study these larger-scale patterns with sufficient spatial resolution to systematically investigate how landscape and local characteristics affect the spatial variability in LGD. We measured vertical temperature profiles around a 0.49 km2 lake in northeastern Germany with a needle thermistor, which has the advantage of allowing for rapid (manual) measurements and thus, when used in a survey, high spatial coverage and resolution. Groundwater inflow rates were then estimated using the heat transport equation. These near-shore temperature profiles were complemented with sediment temperature measurements with a fibre-optic cable along six transects from shoreline to shoreline and radon measurements of lake water samples to qualitatively identify LGD patterns in the offshore part of the lake. As the hydrogeology of the catchment is sufficiently homogeneous (sandy sediments of a glacial outwash plain; no bedrock control) to avoid patterns being dominated by geological discontinuities, we were able to test the common assumptions that spatial patterns of LGD are mainly controlled by sediment characteristics and the groundwater flow field. We also tested the assumption that topographic gradients can be used as a proxy for gradients of the groundwater flow field. Thanks to the extensive data set, these tests could be carried out in a nested design, considering both small- and large-scale variability in LGD. We found that LGD was concentrated in the near-shore area, but alongshore variability was high, with specific regions of higher rates and higher spatial variability. Median inflow rates were 44 L m−2 d−1 with maximum rates in certain locations going up to 169 L m−2 d−1. Offshore LGD was negligible except for two local hotspots on steep steps in the lake bed topography. Large-scale groundwater inflow patterns were correlated with topography and the groundwater flow field, whereas small-scale patterns correlated with grain size distributions of the lake sediment. These findings confirm results and assumptions of theoretical and modelling studies more systematically than was previously possible with coarser sampling designs. However, we also found that a significant fraction of the variance in LGD could not be explained by these controls alone and that additional processes need to be considered. While regression models using these controls as explanatory variables had limited power to predict LGD rates, the results nevertheless encourage the use of topographic indices and sediment heterogeneity as an aid for targeted campaigns in future studies of groundwater discharge to lakes.},\n\tlanguage = {en},\n\tnumber = {10},\n\turldate = {2022-11-18},\n\tjournal = {Hydrology and Earth System Sciences},\n\tauthor = {Tecklenburg, Christina and Blume, Theresa},\n\tmonth = oct,\n\tyear = {2017},\n\tpages = {5043--5063},\n}\n\n

\n

\n\n\n

\n Abstract. Lacustrine groundwater discharge (LGD) can significantly affect lake water balances and lake water quality. However, quantifying LGD and its spatial patterns is challenging because of the large spatial extent of the aquifer–lake interface and pronounced spatial variability. This is the first experimental study to specifically study these larger-scale patterns with sufficient spatial resolution to systematically investigate how landscape and local characteristics affect the spatial variability in LGD. We measured vertical temperature profiles around a 0.49 km2 lake in northeastern Germany with a needle thermistor, which has the advantage of allowing for rapid (manual) measurements and thus, when used in a survey, high spatial coverage and resolution. Groundwater inflow rates were then estimated using the heat transport equation. These near-shore temperature profiles were complemented with sediment temperature measurements with a fibre-optic cable along six transects from shoreline to shoreline and radon measurements of lake water samples to qualitatively identify LGD patterns in the offshore part of the lake. As the hydrogeology of the catchment is sufficiently homogeneous (sandy sediments of a glacial outwash plain; no bedrock control) to avoid patterns being dominated by geological discontinuities, we were able to test the common assumptions that spatial patterns of LGD are mainly controlled by sediment characteristics and the groundwater flow field. We also tested the assumption that topographic gradients can be used as a proxy for gradients of the groundwater flow field. Thanks to the extensive data set, these tests could be carried out in a nested design, considering both small- and large-scale variability in LGD. We found that LGD was concentrated in the near-shore area, but alongshore variability was high, with specific regions of higher rates and higher spatial variability. Median inflow rates were 44 L m−2 d−1 with maximum rates in certain locations going up to 169 L m−2 d−1. Offshore LGD was negligible except for two local hotspots on steep steps in the lake bed topography. Large-scale groundwater inflow patterns were correlated with topography and the groundwater flow field, whereas small-scale patterns correlated with grain size distributions of the lake sediment. These findings confirm results and assumptions of theoretical and modelling studies more systematically than was previously possible with coarser sampling designs. However, we also found that a significant fraction of the variance in LGD could not be explained by these controls alone and that additional processes need to be considered. While regression models using these controls as explanatory variables had limited power to predict LGD rates, the results nevertheless encourage the use of topographic indices and sediment heterogeneity as an aid for targeted campaigns in future studies of groundwater discharge to lakes.\n

\n\n\n

\n \n\n \n \n Trauth, N.; and Fleckenstein, J. H.\n\n\n \n \n \n \n \n Single discharge events increase reactive efficiency of the hyporheic zone: DISCHARGE EVENTS INCREASE REACTIVITY.\n \n \n \n \n\n\n \n\n\n\n Water Resources Research, 53(1): 779–798. January 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Single$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{trauth_single_2017,\n\ttitle = {Single discharge events increase reactive efficiency of the hyporheic zone: {DISCHARGE} {EVENTS} {INCREASE} {REACTIVITY}},\n\tvolume = {53},\n\tissn = {00431397},\n\tshorttitle = {Single discharge events increase reactive efficiency of the hyporheic zone},\n\turl = {http://doi.wiley.com/10.1002/2016WR019488},\n\tdoi = {10.1002/2016WR019488},\n\tlanguage = {en},\n\tnumber = {1},\n\turldate = {2022-11-18},\n\tjournal = {Water Resources Research},\n\tauthor = {Trauth, Nico and Fleckenstein, Jan H.},\n\tmonth = jan,\n\tyear = {2017},\n\tpages = {779--798},\n}\n\n

\n

\n\n\n\n

\n \n\n \n \n Uebel, M.; Herbst, M.; and Bott, A.\n\n\n \n \n \n \n \n Mesoscale simulations of atmospheric CO $_{\\textrm{2}}$ variations using a high-resolution model system with process-based CO $_{\\textrm{2}}$ fluxes: Mesoscale Simulations of Atmospheric CO $_{\\textrm{2}}$ Variations.\n \n \n \n \n\n\n \n\n\n\n Quarterly Journal of the Royal Meteorological Society, 143(705): 1860–1876. April 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Mesoscale$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{uebel_mesoscale_2017,\n\ttitle = {Mesoscale simulations of atmospheric {CO} $_{\\textrm{2}}$ variations using a high-resolution model system with process-based {CO} $_{\\textrm{2}}$ fluxes: {Mesoscale} {Simulations} of {Atmospheric} {CO} $_{\\textrm{2}}$ {Variations}},\n\tvolume = {143},\n\tissn = {00359009},\n\tshorttitle = {Mesoscale simulations of atmospheric {CO} $_{\\textrm{2}}$ variations using a high-resolution model system with process-based {CO} $_{\\textrm{2}}$ fluxes},\n\turl = {https://onlinelibrary.wiley.com/doi/10.1002/qj.3047},\n\tdoi = {10.1002/qj.3047},\n\tlanguage = {en},\n\tnumber = {705},\n\turldate = {2022-11-18},\n\tjournal = {Quarterly Journal of the Royal Meteorological Society},\n\tauthor = {Uebel, M. and Herbst, M. and Bott, A.},\n\tmonth = apr,\n\tyear = {2017},\n\tpages = {1860--1876},\n}\n\n

\n

\n\n\n\n

\n \n\n \n \n Waldhoff, G.; Lussem, U.; and Bareth, G.\n\n\n \n \n \n \n \n Multi-Data Approach for remote sensing-based regional crop rotation mapping: A case study for the Rur catchment, Germany.\n \n \n \n \n\n\n \n\n\n\n International Journal of Applied Earth Observation and Geoinformation, 61: 55–69. September 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Multi-Data$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{waldhoff_multi-data_2017,\n\ttitle = {Multi-{Data} {Approach} for remote sensing-based regional crop rotation mapping: {A} case study for the {Rur} catchment, {Germany}},\n\tvolume = {61},\n\tissn = {15698432},\n\tshorttitle = {Multi-{Data} {Approach} for remote sensing-based regional crop rotation mapping},\n\turl = {https://linkinghub.elsevier.com/retrieve/pii/S0303243417300934},\n\tdoi = {10.1016/j.jag.2017.04.009},\n\tlanguage = {en},\n\turldate = {2022-11-18},\n\tjournal = {International Journal of Applied Earth Observation and Geoinformation},\n\tauthor = {Waldhoff, Guido and Lussem, Ulrike and Bareth, Georg},\n\tmonth = sep,\n\tyear = {2017},\n\tpages = {55--69},\n}\n\n

\n

\n\n\n\n

\n \n\n \n \n Wei, J.; Amelung, W.; Lehndorff, E.; Schloter, M.; Vereecken, H.; and Brüggemann, N.\n\n\n \n \n \n \n \n N$_{\\textrm{2}}$O and NO$_{\\textrm{{X}}}$ emissions by reactions of nitrite with soil organic matter of a Norway spruce forest.\n \n \n \n \n\n\n \n\n\n\n Biogeochemistry, 132(3): 325–342. February 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"N$_{\\textrm{2}}$O$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{wei_n2o_2017,\n\ttitle = {N$_{\\textrm{2}}${O} and {NO}$_{\\textrm{{X}}}$ emissions by reactions of nitrite with soil organic matter of a {Norway} spruce forest},\n\tvolume = {132},\n\tissn = {0168-2563, 1573-515X},\n\turl = {http://link.springer.com/10.1007/s10533-017-0306-0},\n\tdoi = {10.1007/s10533-017-0306-0},\n\tlanguage = {en},\n\tnumber = {3},\n\turldate = {2022-11-18},\n\tjournal = {Biogeochemistry},\n\tauthor = {Wei, Jing and Amelung, Wulf and Lehndorff, Eva and Schloter, Michael and Vereecken, Harry and Brüggemann, Nicolas},\n\tmonth = feb,\n\tyear = {2017},\n\tpages = {325--342},\n}\n\n

\n

\n\n\n\n

\n \n\n \n \n Weigand, M.; and Kemna, A.\n\n\n \n \n \n \n \n Multi-frequency electrical impedance tomography as a non-invasive tool to characterize and monitor crop root systems.\n \n \n \n \n\n\n \n\n\n\n Biogeosciences, 14(4): 921–939. February 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Multi-frequency$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{weigand_multi-frequency_2017,\n\ttitle = {Multi-frequency electrical impedance tomography as a non-invasive tool to characterize and monitor crop root systems},\n\tvolume = {14},\n\tissn = {1726-4189},\n\turl = {https://bg.copernicus.org/articles/14/921/2017/},\n\tdoi = {10.5194/bg-14-921-2017},\n\tabstract = {Abstract. A better understanding of root–soil interactions and associated processes is essential in achieving progress in crop breeding and management, prompting the need for high-resolution and non-destructive characterization methods. To date, such methods are still lacking or restricted by technical constraints, in particular the charactization and monitoring of root growth and function in the field. A promising technique in this respect is electrical impedance tomography (EIT), which utilizes low-frequency ({\\textless} 1 kHz)- electrical conduction- and polarization properties in an imaging framework. It is well established that cells and cell clusters exhibit an electrical polarization response in alternating electric-current fields due to electrical double layers which form at cell membranes. This double layer is directly related to the electrical surface properties of the membrane, which in turn are influenced by nutrient dynamics (fluxes and concentrations on both sides of the membranes). Therefore, it can be assumed that the electrical polarization properties of roots are inherently related to ion uptake and translocation processes in the root systems. We hereby propose broadband (mHz to hundreds of Hz) multi-frequency EIT as a non-invasive methodological approach for the monitoring and physiological, i.e., functional, characterization of crop root systems. The approach combines the spatial-resolution capability of an imaging method with the diagnostic potential of electrical-impedance spectroscopy. The capability of multi-frequency EIT to characterize and monitor crop root systems was investigated in a rhizotron laboratory experiment, in which the root system of oilseed plants was monitored in a water–filled rhizotron, that is, in a nutrient-deprived environment. We found a low-frequency polarization response of the root system, which enabled the successful delineation of its spatial extension. The magnitude of the overall polarization response decreased along with the physiological decay of the root system due to the stress situation. Spectral polarization parameters, as derived from a pixel-based Debye decomposition analysis of the multi-frequency imaging results, reveal systematic changes in the spatial and spectral electrical response of the root system. In particular, quantified mean relaxation times (of the order of 10 ms) indicate changes in the length scales on which the polarization processes took place in the root system, as a response to the prolonged induced stress situation. Our results demonstrate that broadband EIT is a capable, non-invasive method to image root system extension as well as to monitor changes associated with the root physiological processes. Given its applicability on both laboratory and field scales, our results suggest an enormous potential of the method for the structural and functional imaging of root systems for various applications. This particularly holds for the field scale, where corresponding methods are highly desired but to date are lacking.},\n\tlanguage = {en},\n\tnumber = {4},\n\turldate = {2022-11-18},\n\tjournal = {Biogeosciences},\n\tauthor = {Weigand, Maximilian and Kemna, Andreas},\n\tmonth = feb,\n\tyear = {2017},\n\tpages = {921--939},\n}\n\n

\n

\n\n\n

\n Abstract. A better understanding of root–soil interactions and associated processes is essential in achieving progress in crop breeding and management, prompting the need for high-resolution and non-destructive characterization methods. To date, such methods are still lacking or restricted by technical constraints, in particular the charactization and monitoring of root growth and function in the field. A promising technique in this respect is electrical impedance tomography (EIT), which utilizes low-frequency (\\textless 1 kHz)- electrical conduction- and polarization properties in an imaging framework. It is well established that cells and cell clusters exhibit an electrical polarization response in alternating electric-current fields due to electrical double layers which form at cell membranes. This double layer is directly related to the electrical surface properties of the membrane, which in turn are influenced by nutrient dynamics (fluxes and concentrations on both sides of the membranes). Therefore, it can be assumed that the electrical polarization properties of roots are inherently related to ion uptake and translocation processes in the root systems. We hereby propose broadband (mHz to hundreds of Hz) multi-frequency EIT as a non-invasive methodological approach for the monitoring and physiological, i.e., functional, characterization of crop root systems. The approach combines the spatial-resolution capability of an imaging method with the diagnostic potential of electrical-impedance spectroscopy. The capability of multi-frequency EIT to characterize and monitor crop root systems was investigated in a rhizotron laboratory experiment, in which the root system of oilseed plants was monitored in a water–filled rhizotron, that is, in a nutrient-deprived environment. We found a low-frequency polarization response of the root system, which enabled the successful delineation of its spatial extension. The magnitude of the overall polarization response decreased along with the physiological decay of the root system due to the stress situation. Spectral polarization parameters, as derived from a pixel-based Debye decomposition analysis of the multi-frequency imaging results, reveal systematic changes in the spatial and spectral electrical response of the root system. In particular, quantified mean relaxation times (of the order of 10 ms) indicate changes in the length scales on which the polarization processes took place in the root system, as a response to the prolonged induced stress situation. Our results demonstrate that broadband EIT is a capable, non-invasive method to image root system extension as well as to monitor changes associated with the root physiological processes. Given its applicability on both laboratory and field scales, our results suggest an enormous potential of the method for the structural and functional imaging of root systems for various applications. This particularly holds for the field scale, where corresponding methods are highly desired but to date are lacking.\n

\n\n\n

\n \n\n \n \n Weigand, S.; Bol, R.; Reichert, B.; Graf, A.; Wiekenkamp, I.; Stockinger, M.; Luecke, A.; Tappe, W.; Bogena, H.; Puetz, T.; Amelung, W.; and Vereecken, H.\n\n\n \n \n \n \n \n Spatiotemporal Analysis of Dissolved Organic Carbon and Nitrate in Waters of a Forested Catchment Using Wavelet Analysis.\n \n \n \n \n\n\n \n\n\n\n Vadose Zone Journal, 16(3): vzj2016.09.0077. March 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Spatiotemporal$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{weigand_spatiotemporal_2017,\n\ttitle = {Spatiotemporal {Analysis} of {Dissolved} {Organic} {Carbon} and {Nitrate} in {Waters} of a {Forested} {Catchment} {Using} {Wavelet} {Analysis}},\n\tvolume = {16},\n\tissn = {15391663},\n\turl = {http://doi.wiley.com/10.2136/vzj2016.09.0077},\n\tdoi = {10.2136/vzj2016.09.0077},\n\tlanguage = {en},\n\tnumber = {3},\n\turldate = {2022-11-18},\n\tjournal = {Vadose Zone Journal},\n\tauthor = {Weigand, Susanne and Bol, Roland and Reichert, Barbara and Graf, Alexander and Wiekenkamp, Inge and Stockinger, Michael and Luecke, Andreas and Tappe, Wolfgang and Bogena, Heye and Puetz, Thomas and Amelung, Wulf and Vereecken, Harry},\n\tmonth = mar,\n\tyear = {2017},\n\tpages = {vzj2016.09.0077},\n}\n\n

\n

\n\n\n\n

\n \n\n \n \n Wilken, F.; Fiener, P.; and Van Oost, K.\n\n\n \n \n \n \n \n Modelling a century of soil redistribution processes and carbon delivery from small watersheds using a multi-class sediment transport model.\n \n \n \n \n\n\n \n\n\n\n Earth Surface Dynamics, 5(1): 113–124. February 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Modelling$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{wilken_modelling_2017,\n\ttitle = {Modelling a century of soil redistribution processes and carbon delivery from small watersheds using a multi-class sediment transport model},\n\tvolume = {5},\n\tissn = {2196-632X},\n\turl = {https://esurf.copernicus.org/articles/5/113/2017/},\n\tdoi = {10.5194/esurf-5-113-2017},\n\tabstract = {Abstract. Over the last few decades, soil erosion and carbon redistribution modelling has received a lot of attention due to large uncertainties and conflicting results. For a physically based representation of event dynamics, coupled soil and carbon erosion models have been developed. However, there is a lack of research utilizing models which physically represent preferential erosion and transport of different carbon fractions (i.e. mineral bound carbon, carbon encapsulated by aggregates and particulate organic carbon). Furthermore, most of the models that have a high temporal resolution are applied to relatively short time series ({\\textless} 10 yr−1), which might not cover the episodic nature of soil erosion. We applied the event-based multi-class sediment transport (MCST) model to a 100-year time series of rainfall observation. The study area was a small agricultural catchment (3 ha) located in the Belgium loess belt about 15 km southwest of Leuven, with a rolling topography of slopes up to 14 \\%. Our modelling analysis indicates (i) that interrill erosion is a selective process which entrains primary particles, while (ii) rill erosion is non-selective and entrains aggregates, (iii) that particulate organic matter is predominantly encapsulated in aggregates, and (iv) that the export enrichment in carbon is highest during events dominated by interrill erosion and decreases with event size.},\n\tlanguage = {en},\n\tnumber = {1},\n\turldate = {2022-11-18},\n\tjournal = {Earth Surface Dynamics},\n\tauthor = {Wilken, Florian and Fiener, Peter and Van Oost, Kristof},\n\tmonth = feb,\n\tyear = {2017},\n\tpages = {113--124},\n}\n\n

\n

\n\n\n\n\n\n

\n \n\n \n \n Wilken, F.; Sommer, M.; Van Oost, K.; Bens, O.; and Fiener, P.\n\n\n \n \n \n \n \n Process-oriented modelling to identify main drivers of erosion-induced carbon fluxes.\n \n \n \n \n\n\n \n\n\n\n SOIL, 3(2): 83–94. May 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Process-oriented$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{wilken_process-oriented_2017,\n\ttitle = {Process-oriented modelling to identify main drivers of erosion-induced carbon fluxes},\n\tvolume = {3},\n\tissn = {2199-398X},\n\turl = {https://soil.copernicus.org/articles/3/83/2017/},\n\tdoi = {10.5194/soil-3-83-2017},\n\tabstract = {Abstract. Coupled modelling of soil erosion, carbon redistribution, and turnover has received great attention over the last decades due to large uncertainties regarding erosion-induced carbon fluxes. For a process-oriented representation of event dynamics, coupled soil–carbon erosion models have been developed. However, there are currently few models that represent tillage erosion, preferential water erosion, and transport of different carbon fractions (e.g. mineral bound carbon, carbon encapsulated by soil aggregates). We couple a process-oriented multi-class sediment transport model with a carbon turnover model (MCST-C) to identify relevant redistribution processes for carbon dynamics. The model is applied for two arable catchments (3.7 and 7.8 ha) located in the Tertiary Hills about 40 km north of Munich, Germany. Our findings indicate the following: (i) redistribution by tillage has a large effect on erosion-induced vertical carbon fluxes and has a large carbon sequestration potential; (ii) water erosion has a minor effect on vertical fluxes, but episodic soil organic carbon (SOC) delivery controls the long-term erosion-induced carbon balance; (iii) delivered sediments are highly enriched in SOC compared to the parent soil, and sediment delivery is driven by event size and catchment connectivity; and (iv) soil aggregation enhances SOC deposition due to the transformation of highly mobile carbon-rich fine primary particles into rather immobile soil aggregates.},\n\tlanguage = {en},\n\tnumber = {2},\n\turldate = {2022-11-18},\n\tjournal = {SOIL},\n\tauthor = {Wilken, Florian and Sommer, Michael and Van Oost, Kristof and Bens, Oliver and Fiener, Peter},\n\tmonth = may,\n\tyear = {2017},\n\tpages = {83--94},\n}\n\n

\n

\n\n\n\n\n\n

\n \n\n \n \n Wolf, B.; Chwala, C.; Fersch, B.; Garvelmann, J.; Junkermann, W.; Zeeman, M. J.; Angerer, A.; Adler, B.; Beck, C.; Brosy, C.; Brugger, P.; Emeis, S.; Dannenmann, M.; De Roo, F.; Diaz-Pines, E.; Haas, E.; Hagen, M.; Hajnsek, I.; Jacobeit, J.; Jagdhuber, T.; Kalthoff, N.; Kiese, R.; Kunstmann, H.; Kosak, O.; Krieg, R.; Malchow, C.; Mauder, M.; Merz, R.; Notarnicola, C.; Philipp, A.; Reif, W.; Reineke, S.; Rödiger, T.; Ruehr, N.; Schäfer, K.; Schrön, M.; Senatore, A.; Shupe, H.; Völksch, I.; Wanninger, C.; Zacharias, S.; and Schmid, H. P.\n\n\n \n \n \n \n \n The SCALEX Campaign: Scale-Crossing Land Surface and Boundary Layer Processes in the TERENO-preAlpine Observatory.\n \n \n \n \n\n\n \n\n\n\n Bulletin of the American Meteorological Society, 98(6): 1217–1234. June 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"The$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{wolf_scalex_2017,\n\ttitle = {The {SCALEX} {Campaign}: {Scale}-{Crossing} {Land} {Surface} and {Boundary} {Layer} {Processes} in the {TERENO}-{preAlpine} {Observatory}},\n\tvolume = {98},\n\tissn = {0003-0007, 1520-0477},\n\tshorttitle = {The {SCALEX} {Campaign}},\n\turl = {https://journals.ametsoc.org/doi/10.1175/BAMS-D-15-00277.1},\n\tdoi = {10.1175/BAMS-D-15-00277.1},\n\tabstract = {Abstract \n            ScaleX is a collaborative measurement campaign, collocated with a long-term environmental observatory of the German Terrestrial Environmental Observatories (TERENO) network in the mountainous terrain of the Bavarian Prealps, Germany. The aims of both TERENO and ScaleX include the measurement and modeling of land surface–atmosphere interactions of energy, water, and greenhouse gases. ScaleX is motivated by the recognition that long-term intensive observational research over years or decades must be based on well-proven, mostly automated measurement systems, concentrated in a small number of locations. In contrast, short-term intensive campaigns offer the opportunity to assess spatial distributions and gradients by concentrated instrument deployments, and by mobile sensors (ground and/or airborne) to obtain transects and three-dimensional patterns of atmospheric, surface, or soil variables and processes. Moreover, intensive campaigns are ideal proving grounds for innovative instruments, methods, and techniques to measure quantities that cannot (yet) be automated or deployed over long time periods. ScaleX is distinctive in its design, which combines the benefits of a long-term environmental-monitoring approach (TERENO) with the versatility and innovative power of a series of intensive campaigns, to bridge across a wide span of spatial and temporal scales. This contribution presents the concept and first data products of ScaleX-2015, which occurred in June–July 2015. The second installment of ScaleX took place in summer 2016 and periodic further ScaleX campaigns are planned throughout the lifetime of TERENO. This paper calls for collaboration in future ScaleX campaigns or to use our data in modelling studies. It is also an invitation to emulate the ScaleX concept at other long-term observatories.},\n\tlanguage = {en},\n\tnumber = {6},\n\turldate = {2022-11-18},\n\tjournal = {Bulletin of the American Meteorological Society},\n\tauthor = {Wolf, B. and Chwala, C. and Fersch, B. and Garvelmann, J. and Junkermann, W. and Zeeman, M. J. and Angerer, A. and Adler, B. and Beck, C. and Brosy, C. and Brugger, P. and Emeis, S. and Dannenmann, M. and De Roo, F. and Diaz-Pines, E. and Haas, E. and Hagen, M. and Hajnsek, I. and Jacobeit, J. and Jagdhuber, T. and Kalthoff, N. and Kiese, R. and Kunstmann, H. and Kosak, O. and Krieg, R. and Malchow, C. and Mauder, M. and Merz, R. and Notarnicola, C. and Philipp, A. and Reif, W. and Reineke, S. and Rödiger, T. and Ruehr, N. and Schäfer, K. and Schrön, M. and Senatore, A. and Shupe, H. and Völksch, I. and Wanninger, C. and Zacharias, S. and Schmid, H. P.},\n\tmonth = jun,\n\tyear = {2017},\n\tpages = {1217--1234},\n}\n\n

\n

\n\n\n\n\n\n

\n \n\n \n \n Wolff, M.; Haase, A.; Haase, D.; and Kabisch, N.\n\n\n \n \n \n \n \n The impact of urban regrowth on the built environment.\n \n \n \n \n\n\n \n\n\n\n Urban Studies, 54(12): 2683–2700. September 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"The$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{wolff_impact_2017,\n\ttitle = {The impact of urban regrowth on the built environment},\n\tvolume = {54},\n\tissn = {0042-0980, 1360-063X},\n\turl = {http://journals.sagepub.com/doi/10.1177/0042098016658231},\n\tdoi = {10.1177/0042098016658231},\n\tabstract = {After several decades, an increasing number of European cities have been experiencing population growth after a longer phase of decline. This new growth represents not just a quantitative phenomenon but also has qualitative implications for the urban space and the built environment. A juxtaposition of re- and de-densification, as well as changes in land use, in the form of a small-scale spatial mosaic, can be observed. A crucial factor for estimating the relationship between the built environment and demand for it is population density. Increasing population densities may put pressure on sustaining a certain quality of life and on ecological recovery spaces. In this vein, an indicator concept for re- and de-densification will be applied to the city of Leipzig, one of the most illustrative examples of a regrowing city, in order to shed light on the complex relationship between changing human housing demands and their impact on land use. The concept involves measuring population density. Our study has demonstrated that, although similar density changes can be observed in different periods in different parts of the city, they are dominated by different drivers, leading to the formation of different spatial patterns. The results of our study emphasise that regrowth should be understood as a distinctive process because it is distributed very heterogeneously within the city area, with a variety of spatial effects and impacts. The concept allows us to draw conclusions about processes that mitigate, drive or reinforce regrowth, and therefore contributes to a better understanding of this phenomenon and its implications for land use.},\n\tlanguage = {en},\n\tnumber = {12},\n\turldate = {2022-11-18},\n\tjournal = {Urban Studies},\n\tauthor = {Wolff, Manuel and Haase, Annegret and Haase, Dagmar and Kabisch, Nadja},\n\tmonth = sep,\n\tyear = {2017},\n\tpages = {2683--2700},\n}\n\n

\n

\n\n\n\n\n\n

\n \n\n \n \n Wollschläger, U.; Attinger, S.; Borchardt, D.; Brauns, M.; Cuntz, M.; Dietrich, P.; Fleckenstein, J. H.; Friese, K.; Friesen, J.; Harpke, A.; Hildebrandt, A.; Jäckel, G.; Kamjunke, N.; Knöller, K.; Kögler, S.; Kolditz, O.; Krieg, R.; Kumar, R.; Lausch, A.; Liess, M.; Marx, A.; Merz, R.; Mueller, C.; Musolff, A.; Norf, H.; Oswald, S. E.; Rebmann, C.; Reinstorf, F.; Rode, M.; Rink, K.; Rinke, K.; Samaniego, L.; Vieweg, M.; Vogel, H.; Weitere, M.; Werban, U.; Zink, M.; and Zacharias, S.\n\n\n \n \n \n \n \n The Bode hydrological observatory: a platform for integrated, interdisciplinary hydro-ecological research within the TERENO Harz/Central German Lowland Observatory.\n \n \n \n \n\n\n \n\n\n\n Environmental Earth Sciences, 76(1): 29. January 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"The$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{wollschlager_bode_2017,\n\ttitle = {The {Bode} hydrological observatory: a platform for integrated, interdisciplinary hydro-ecological research within the {TERENO} {Harz}/{Central} {German} {Lowland} {Observatory}},\n\tvolume = {76},\n\tissn = {1866-6280, 1866-6299},\n\tshorttitle = {The {Bode} hydrological observatory},\n\turl = {http://link.springer.com/10.1007/s12665-016-6327-5},\n\tdoi = {10.1007/s12665-016-6327-5},\n\tlanguage = {en},\n\tnumber = {1},\n\turldate = {2022-11-18},\n\tjournal = {Environmental Earth Sciences},\n\tauthor = {Wollschläger, Ute and Attinger, Sabine and Borchardt, Dietrich and Brauns, Mario and Cuntz, Matthias and Dietrich, Peter and Fleckenstein, Jan H. and Friese, Kurt and Friesen, Jan and Harpke, Alexander and Hildebrandt, Anke and Jäckel, Greta and Kamjunke, Norbert and Knöller, Kay and Kögler, Simon and Kolditz, Olaf and Krieg, Ronald and Kumar, Rohini and Lausch, Angela and Liess, Matthias and Marx, Andreas and Merz, Ralf and Mueller, Christin and Musolff, Andreas and Norf, Helge and Oswald, Sascha E. and Rebmann, Corinna and Reinstorf, Frido and Rode, Michael and Rink, Karsten and Rinke, Karsten and Samaniego, Luis and Vieweg, Michael and Vogel, Hans-Jörg and Weitere, Markus and Werban, Ulrike and Zink, Matthias and Zacharias, Steffen},\n\tmonth = jan,\n\tyear = {2017},\n\tpages = {29},\n}\n\n

\n

\n\n\n\n

\n \n\n \n \n Wu, B.; Wiekenkamp, I.; Sun, Y.; Fisher, A. S.; Clough, R.; Gottselig, N.; Bogena, H.; Pütz, T.; Brüggemann, N.; Vereecken, H.; and Bol, R.\n\n\n \n \n \n \n \n A Dataset for Three-Dimensional Distribution of 39 Elements Including Plant Nutrients and Other Metals and Metalloids in the Soils of a Forested Headwater Catchment.\n \n \n \n \n\n\n \n\n\n\n Journal of Environmental Quality, 46(6): 1510–1518. November 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"A$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{wu_dataset_2017,\n\ttitle = {A {Dataset} for {Three}-{Dimensional} {Distribution} of 39 {Elements} {Including} {Plant} {Nutrients} and {Other} {Metals} and {Metalloids} in the {Soils} of a {Forested} {Headwater} {Catchment}},\n\tvolume = {46},\n\tissn = {00472425},\n\turl = {http://doi.wiley.com/10.2134/jeq2017.05.0193},\n\tdoi = {10.2134/jeq2017.05.0193},\n\tlanguage = {en},\n\tnumber = {6},\n\turldate = {2022-11-18},\n\tjournal = {Journal of Environmental Quality},\n\tauthor = {Wu, B. and Wiekenkamp, I. and Sun, Y. and Fisher, A. S. and Clough, R. and Gottselig, N. and Bogena, H. and Pütz, T. and Brüggemann, N. and Vereecken, H. and Bol, R.},\n\tmonth = nov,\n\tyear = {2017},\n\tpages = {1510--1518},\n}\n\n

\n

\n\n\n\n

\n \n\n \n \n Zeeman, M.; Mauder, M.; Steinbrecher, R.; Heidbach, K.; Eckart, E.; and Schmid, H.\n\n\n \n \n \n \n \n Reduced snow cover affects productivity of upland temperate grasslands.\n \n \n \n \n\n\n \n\n\n\n Agricultural and Forest Meteorology, 232: 514–526. January 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Reduced$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

\n

@article{zeeman_reduced_2017,\n\ttitle = {Reduced snow cover affects productivity of upland temperate grasslands},\n\tvolume = {232},\n\tissn = {01681923},\n\turl = {https://linkinghub.elsevier.com/retrieve/pii/S0168192316303811},\n\tdoi = {10.1016/j.agrformet.2016.09.002},\n\tlanguage = {en},\n\turldate = {2022-11-18},\n\tjournal = {Agricultural and Forest Meteorology},\n\tauthor = {Zeeman, M.J. and Mauder, M. and Steinbrecher, R. and Heidbach, K. and Eckart, E. and Schmid, H.P.},\n\tmonth = jan,\n\tyear = {2017},\n\tpages = {514--526},\n}\n\n

\n

\n\n\n\n