BibBase

Keyword: jrn

2011 (4)

Effects of simulated storm sizes and nitrogen on three Chihuahuan Desert perennial herbs and a grass. Whitford, W. & Steinberger, Y. Journal of Arid Environments, 75(9):861–864, September, 2011.

Effects of simulated storm sizes and nitrogen on three Chihuahuan Desert perennial herbs and a grass [link]

Paper doi bibtex

@article{whitford_effects_2011,
	title = {Effects of simulated storm sizes and nitrogen on three {Chihuahuan} {Desert} perennial herbs and a grass},
	volume = {75},
	issn = {01401963},
	url = {https://linkinghub.elsevier.com/retrieve/pii/S0140196311000942},
	doi = {10.1016/j.jaridenv.2011.03.007},
	language = {en},
	number = {9},
	urldate = {2020-10-12},
	journal = {Journal of Arid Environments},
	author = {Whitford, W.G. and Steinberger, Y.},
	month = sep,
	year = {2011},
	pages = {861--864}
}

Response of dominant grass and shrub species to water manipulation: an ecophysiological basis for shrub invasion in a Chihuahuan Desert Grassland. Throop, H. L., Reichmann, L. G, O.E. Sala, & Archer, S. R. Oecologia, 2011.
bibtex

@article{throop_response_2011,
	title = {Response of dominant grass and shrub species to water manipulation: an ecophysiological basis for shrub invasion in a {Chihuahuan} {Desert} {Grassland}},
	journal = {Oecologia},
	author = {Throop, Heather L. and Reichmann, Lara G and {O.E. Sala} and Archer, Steven R.},
	year = {2011},
	keywords = {JRN, woody encroachment}
}

The utilization of historical data and geospatial technology advances at the Jornada Experimental Range to support western America ranching culture. Rango, A., Havstad, K., & Estell, R. Remote Sensing, 3(9):2089–2109, 2011.
doi abstract bibtex

By the early 1900s, concerns were expressed by ranchers, academicians, and federal scientists that widespread overgrazing and invasion of native grassland by woody shrubs were having severe negative impacts upon normal grazing practices in Western America. Ranchers wanted to reverse these trends and continue their way of life and were willing to work with scientists to achieve these goals. One response to this desire was establishment of the USDA Jornada Experimental Range (783 km2) in south central New Mexico by a Presidential Executive Order in 1912 for conducting rangeland investigations. This cooperative effort involved experiments to understand principles of proper management and the processes causing the woody shrub invasion as well as to identify treatments to eradicate shrubs. By the late 1940s, it was apparent that combining the historical ground-based data accumulated at Jornada Experimental Range with rapidly expanding post World War II technologies would yield a better understanding of the driving processes in these arid and semiarid ecosystems which could then lead to improved rangeland management practices. One specific technology was the use of aerial photography to interpret landscape resource conditions. The assembly and utilization of long-term historical aerial photography data sets has occurred over the last half century. More recently, Global Positioning System (GPS) techniques have been used in a myriad of scientific endeavors including efforts to accurately locate historical and contemporary treatment plots and to track research animals including livestock and wildlife. As an incredible amount of both spatial and temporal data became available, Geographic Information Systems have been exploited to display various layers of data over the same locations. Subsequent analyses of these data layers have begun to yield new insights. The most recent technological development has been the deployment of Unmanned Aerial Vehicles (UAVs) that afford the opportunity to obtain high (5 cm) resolution data now required for rangeland monitoring. The Jornada team is now a leader in civil UAV applications in the USA. The scientific advances at the Jornada in fields such as remote sensing can be traced to the original Western America ranching culture that established the Jornada in 1912 and which persists as an important influence in shaping research directions today.

@article{rango_utilization_2011,
	title = {The utilization of historical data and geospatial technology advances at the {Jornada} {Experimental} {Range} to support western {America} ranching culture},
	volume = {3},
	doi = {10.3390/rs3092089},
	abstract = {By the early 1900s, concerns were expressed by ranchers, academicians, and federal scientists that widespread overgrazing and invasion of native grassland by woody shrubs were having severe negative impacts upon normal grazing practices in Western America. Ranchers wanted to reverse these trends and continue their way of life and were willing to work with scientists to achieve these goals. One response to this desire was establishment of the USDA Jornada Experimental Range (783 km2) in south central New Mexico by a Presidential Executive Order in 1912 for conducting rangeland investigations. This cooperative effort involved experiments to understand principles of proper management and the processes causing the woody shrub invasion as well as to identify treatments to eradicate shrubs. By the late 1940s, it was apparent that combining the historical ground-based data accumulated at Jornada Experimental Range with rapidly expanding post World War II technologies would yield a better understanding of the driving processes in these arid and semiarid ecosystems which could then lead to improved rangeland management practices. One specific technology was the use of aerial photography to interpret landscape resource conditions. The assembly and utilization of long-term historical aerial photography data sets has occurred over the last half century. More recently, Global Positioning System (GPS) techniques have been used in a myriad of scientific endeavors including efforts to accurately locate historical and contemporary treatment plots and to track research animals including livestock and wildlife. As an incredible amount of both spatial and temporal data became available, Geographic Information Systems have been exploited to display various layers of data over the same locations. Subsequent analyses of these data layers have begun to yield new insights. The most recent technological development has been the deployment of Unmanned Aerial Vehicles (UAVs) that afford the opportunity to obtain high (5 cm) resolution data now required for rangeland monitoring. The Jornada team is now a leader in civil UAV applications in the USA. The scientific advances at the Jornada in fields such as remote sensing can be traced to the original Western America ranching culture that established the Jornada in 1912 and which persists as an important influence in shaping research directions today.},
	number = {9},
	journal = {Remote Sensing},
	author = {Rango, Albert and Havstad, Kris and Estell, Rick},
	year = {2011},
	keywords = {LTER-JRN, UAS, UAV, Western American culture, article, geospatial technology, historical data, journal, remote sensing, unmanned aerial system, unmanned aerial vehicles},
	pages = {2089--2109}
}

Nitrogen limitation in arid-subhumid ecosystems: A meta-analysis of fertilization studies. Yahdjian, L., Gherardi, L., & O.E. Sala Journal of Arid Environments, 2011.
bibtex

@article{yahdjian_nitrogen_2011,
	title = {Nitrogen limitation in arid-subhumid ecosystems: {A} meta-analysis of fertilization studies},
	volume = {75},
	number = {8},
	journal = {Journal of Arid Environments},
	author = {Yahdjian, L. and Gherardi, L. and {O.E. Sala}},
	year = {2011},
	keywords = {JRN, resource limitation}
}

2009 (3)

Indicator patches: exploiting spatial heterogeneity to improve monitoring systems. Stokes, C. J., Yeaton, R. I., Bayer, M. B., & Bestelmeyer, B. T. The Rangeland Journal, 31(4):385, 2009.

Indicator patches: exploiting spatial heterogeneity to improve monitoring systems [link]

Paper doi abstract bibtex

When choosing which environmental attributes to monitor in assessing disturbance, it is important to consider not only which metric will provide the most sensitive indicator of disturbance, but also the spatial considerations of where in the landscape that metric will be most responsive to change. Degradation in landscapes is often unevenly expressed because: (i) disturbance is spatially localised, (ii) landscape elements differ in their sensitivity to disturbance, and (iii) degradation following localised disturbance is spatially contagious. The spatial heterogeneity of degradation has proven to be a key obstacle to rangeland monitoring (e.g. where the initiating processes of broad-scale degradation are concentrated in landscape locations that are not detected by surveys) but can also provide opportunities to focus monitoring efforts. We propose that the effectiveness of monitoring could be enhanced by identifying and selectively monitoring ‘indicator patches’, i.e. specific landscape locations that provide the most management-relevant and timely information about the consequences of a monitored disturbance. We tested and demonstrated the utility of the ‘indicator patch’ concept in the rangelands of the Succulent Karoo in southern Africa. We contrasted the grazing response of dominant ‘representative’ vegetation, with responses of interspersed patches of distinct vegetation associated with zoogenic mounds. Since mound vegetation is more palatable and preferentially grazed by sheep, we tested whether mounds could serve as ‘indicator patches’ in providing a sensitive measure of grazing disturbance. Percentage canopy cover measurements in dominant off-mound vegetation provided a poor indicator of grazing disturbance (although more intensive plant size measurements did reveal grazing impacts on plant population dynamics). In contrast, vegetation on mounds displayed patterns of changes in species abundances that were easier to detect and useful for interpreting and quantifying the effects of grazing. Mound vegetation could, therefore, be used as ‘indicator patches’ and targeted for exclusive sampling as a sensitive method for monitoring rangeland condition and detecting early warnings of vegetation change. This approach could be widely employed to better harness the extensive knowledge base regarding the patchy, spatially localised nature of degradation-initiating processes in numerous other landscapes. Routinely incorporating this understanding into the design of monitoring programs could improve the effectiveness of sampling effort, allow detection of more subtle trends (changes), and provide earlier warning of impending degradation so remedial action can be taken before degradation becomes severe and widespread.

@article{stokes_indicator_2009,
	title = {Indicator patches: exploiting spatial heterogeneity to improve monitoring systems},
	volume = {31},
	issn = {1036-9872},
	shorttitle = {Indicator patches},
	url = {http://www.publish.csiro.au/?paper=RJ08021},
	doi = {10.1071/RJ08021},
	abstract = {When choosing which environmental attributes to monitor in assessing disturbance, it is important to consider not only which metric will provide the most sensitive indicator of disturbance, but also the spatial considerations of where in the landscape that metric will be most responsive to change. Degradation in landscapes is often unevenly expressed because: (i) disturbance is spatially localised, (ii) landscape elements differ in their sensitivity to disturbance, and (iii) degradation following localised disturbance is spatially contagious. The spatial heterogeneity of degradation has proven to be a key obstacle to rangeland monitoring (e.g. where the initiating processes of broad-scale degradation are concentrated in landscape locations that are not detected by surveys) but can also provide opportunities to focus monitoring efforts. We propose that the effectiveness of monitoring could be enhanced by identifying and selectively monitoring ‘indicator patches’, i.e. specific landscape locations that provide the most management-relevant and timely information about the consequences of a monitored disturbance. We tested and demonstrated the utility of the ‘indicator patch’ concept in the rangelands of the Succulent Karoo in southern Africa. We contrasted the grazing response of dominant ‘representative’ vegetation, with responses of interspersed patches of distinct vegetation associated with zoogenic mounds. Since mound vegetation is more palatable and preferentially grazed by sheep, we tested whether mounds could serve as ‘indicator patches’ in providing a sensitive measure of grazing disturbance. Percentage canopy cover measurements in dominant off-mound vegetation provided a poor indicator of grazing disturbance (although more intensive plant size measurements did reveal grazing impacts on plant population dynamics). In contrast, vegetation on mounds displayed patterns of changes in species abundances that were easier to detect and useful for interpreting and quantifying the effects of grazing. Mound vegetation could, therefore, be used as ‘indicator patches’ and targeted for exclusive sampling as a sensitive method for monitoring rangeland condition and detecting early warnings of vegetation change. This approach could be widely employed to better harness the extensive knowledge base regarding the patchy, spatially localised nature of degradation-initiating processes in numerous other landscapes. Routinely incorporating this understanding into the design of monitoring programs could improve the effectiveness of sampling effort, allow detection of more subtle trends (changes), and provide earlier warning of impending degradation so remedial action can be taken before degradation becomes severe and widespread.},
	language = {en},
	number = {4},
	urldate = {2020-10-07},
	journal = {The Rangeland Journal},
	author = {Stokes, C. J. and Yeaton, R. I. and Bayer, M. B. and Bestelmeyer, B. T.},
	year = {2009},
	pages = {385}
}

Resilience theory in models of rangeland ecology and restoration: the evolution and application of a paradigm. Bestelmeyer, B., Havstad, K., Damindsuren, B., Han, G., Brown, J., Herrick, J., Steele, C., & Peters, D. In New Models for ecosystems dynamics and restoration, pages 78–96. 2009.
bibtex

@incollection{bestelmeyer_resilience_2009,
	title = {Resilience theory in models of rangeland ecology and restoration: the evolution and application of a paradigm.},
	booktitle = {New {Models} for ecosystems dynamics and restoration},
	author = {Bestelmeyer, Brandon and Havstad, K. and Damindsuren, Bolormaa and Han, Guodong and Brown, J. and Herrick, Jeff and Steele, C. and Peters, Debra},
	year = {2009},
	pages = {78--96}
}

Comparison of three vegetation monitoring methods: Their relative utility for ecological assessment and monitoring. Godinez-Alvarez, H., Herrick, J. E., Mattocks, M., Toledo, D., & Van Zee, J. W. Ecological Indicators, 2009.