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\n  \n article\n \n \n (17)\n \n \n
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\n \n\n \n \n \n \n \n Multi-proxy temperature and environmental reconstruction during the Late Glacial and Early Holocene in the Bohemian Forest, Central Europe.\n \n \n \n\n\n \n Mateo-Beneito, A.; Florescu, G.; Tátosová, J.; Carter, V. A.; Chiverrell, R.; Heiri, O.; Vasiliev, I.; Kuosmanen, N.; and Kuneš, P.\n\n\n \n\n\n\n Quaternary Science Reviews, 331: 108647. May 2024.\n \n\n\n\n
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@article{mateo-beneito_multi-proxy_2024,\n\ttitle = {Multi-proxy temperature and environmental reconstruction during the {Late} {Glacial} and {Early} {Holocene} in the {Bohemian} {Forest}, {Central} {Europe}},\n\tvolume = {331},\n\tissn = {0277-3791},\n\tdoi = {10.1016/j.quascirev.2024.108647},\n\tabstract = {Multi-proxy temperature reconstructions can provide robust insights into past environmental conditions. By combining different proxies we can disentangle the temperature signal from the indirect climate effects on the environment. This study uses a multi-proxy approach to reconstruct temperature and palaeoenvironmental conditions during the Late Glacial and Early Holocene (13.5–8 cal. ka BP) in the Bohemian Forest, Central Europe. We assessed the similarity of the temperature signal based on chironomids, isoprenoid glycerol dialkyl glycerol tetraether lipids (isoGDGTs), and pollen within a comparison with locally modeled temperature data generated by the CHELSA\\_Trace21k dataset. Pollen, macroscopic charcoal remains, and geochemistry were further used to reconstruct past environmental conditions such as vegetation dynamics, fire activity, the input of lithogenic material (Titanium), nutrient content (Total Nitrogen) and the sources of organic matter (C/N and δ13Corg). All temperature reconstructions based on independent proxies were positively correlated and followed the same long-term trend. However, results also showed that chironomids-inferred July temperature had lower amplitude variations compared to the other temperature curves. IsoGDGTs showed the most pronounced decrease in temperature values at the onset of the Younger Dryas (YD), corroborating that this cooling event was more marked during winter than summer. However, a decrease of less than 1 °C during summer and two short-term warm events at 12.6 and 12.2 cal ka BP provoked a modest and asynchronous response of the vegetation to the onset of the YD. Nevertheless, isoGDGTs appeared to react to changes in both temperature and organic carbon sources, particularly between 11.2 and 10.6 cal yr BP. These environmental changes, characterized by high values of the GDGT-0/crenarchaeol ratio, recorded an increase in methanogenic activity in the lake sediments, which likely altered the recorded climatic signal. The corresponding anoxic episodes in the lake sediments might be caused by an increasing input of organic carbon from the catchment, related to the development of the vegetation and catchment soils at the beginning of the Holocene. Finally, pollen-based temperature reconstruction showed a lag in the response to major climatic events, such as the onset of YD and Holocene. Our study increases the understanding of the climate-vegetation-environmental feedback during the Late Glacial and Early Holocene in the Bohemian Forest, Central Europe.},\n\tlanguage = {English},\n\turldate = {2024-04-13},\n\tjournal = {Quaternary Science Reviews},\n\tauthor = {Mateo-Beneito, Amanda and Florescu, Gabriela and Tátosová, Jolana and Carter, Vachel A. and Chiverrell, Richard and Heiri, Oliver and Vasiliev, Iuliana and Kuosmanen, Niina and Kuneš, Petr},\n\tmonth = may,\n\tyear = {2024},\n\tkeywords = {Bohemian Forest, Central Europe, Chironomids, Early Holocene, Late Glacial, Multi-proxy, Pollen, Temperature reconstructions, Younger Dryas, disturbance, isoGDGTs},\n\tpages = {108647},\n}\n\n
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\n Multi-proxy temperature reconstructions can provide robust insights into past environmental conditions. By combining different proxies we can disentangle the temperature signal from the indirect climate effects on the environment. This study uses a multi-proxy approach to reconstruct temperature and palaeoenvironmental conditions during the Late Glacial and Early Holocene (13.5–8 cal. ka BP) in the Bohemian Forest, Central Europe. We assessed the similarity of the temperature signal based on chironomids, isoprenoid glycerol dialkyl glycerol tetraether lipids (isoGDGTs), and pollen within a comparison with locally modeled temperature data generated by the CHELSA_Trace21k dataset. Pollen, macroscopic charcoal remains, and geochemistry were further used to reconstruct past environmental conditions such as vegetation dynamics, fire activity, the input of lithogenic material (Titanium), nutrient content (Total Nitrogen) and the sources of organic matter (C/N and δ13Corg). All temperature reconstructions based on independent proxies were positively correlated and followed the same long-term trend. However, results also showed that chironomids-inferred July temperature had lower amplitude variations compared to the other temperature curves. IsoGDGTs showed the most pronounced decrease in temperature values at the onset of the Younger Dryas (YD), corroborating that this cooling event was more marked during winter than summer. However, a decrease of less than 1 °C during summer and two short-term warm events at 12.6 and 12.2 cal ka BP provoked a modest and asynchronous response of the vegetation to the onset of the YD. Nevertheless, isoGDGTs appeared to react to changes in both temperature and organic carbon sources, particularly between 11.2 and 10.6 cal yr BP. These environmental changes, characterized by high values of the GDGT-0/crenarchaeol ratio, recorded an increase in methanogenic activity in the lake sediments, which likely altered the recorded climatic signal. The corresponding anoxic episodes in the lake sediments might be caused by an increasing input of organic carbon from the catchment, related to the development of the vegetation and catchment soils at the beginning of the Holocene. Finally, pollen-based temperature reconstruction showed a lag in the response to major climatic events, such as the onset of YD and Holocene. Our study increases the understanding of the climate-vegetation-environmental feedback during the Late Glacial and Early Holocene in the Bohemian Forest, Central Europe.\n
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\n \n\n \n \n \n \n \n Population and forest dynamics during the Central European Eneolithic (4500–2000 BC).\n \n \n \n\n\n \n Kolář, J.; Kuneš, P.; Szabó, P.; Hajnalová, M.; Svobodová, H. S.; Macek, M.; and Tkáč, P.\n\n\n \n\n\n\n Archaeological and Anthropological Sciences, 10(5): 1153–1164. August 2018.\n [IF2017=2.414]\n\n\n\n
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@article{kolar_population_2018,\n\ttitle = {Population and forest dynamics during the {Central} {European} {Eneolithic} (4500–2000 {BC})},\n\tvolume = {10},\n\tcopyright = {All rights reserved},\n\tissn = {1866-9557, 1866-9565},\n\tdoi = {10.1007/s12520-016-0446-5},\n\tabstract = {The population boom-and-bust during the European Neolithic (7000–2000 BC) has been the subject of lively discussion for the past decade. Most of the research on this topic was carried out with help of summed radiocarbon probability distributions. We aim to reconstruct population dynamics within the catchment of a medium sized lake on the basis of information on the presence of all known past human activities. We calculated a human activity model based on Monte Carlo simulations. The model showed the lowest level of human activity between 4000 and 3000 BC. For a better understanding of long-term socio-environmental dynamics, we also used the results of a pollen-based quantitative vegetation model, as well as a local macrophysical climate model. The beginning of the decline of archaeologically visible human activities corresponds with climatic changes and an increase in secondary forest taxa probably indicating more extensive land use. In addition, social and technological innovations are important, such as the introduction of the ard, wheel, animal traction and metallurgy, as well as changes in social hierarchy characterizing the same period.},\n\tlanguage = {English},\n\tnumber = {5},\n\turldate = {2016-12-14},\n\tjournal = {Archaeological and Anthropological Sciences},\n\tauthor = {Kolář, Jan and Kuneš, Petr and Szabó, Péter and Hajnalová, Mária and Svobodová, Helena Svitavská and Macek, Martin and Tkáč, Peter},\n\tmonth = aug,\n\tyear = {2018},\n\tnote = {[IF2017=2.414]},\n\tkeywords = {Czech Republic, MCM model, Neolithic, Population density, REVEALS, climate, conservation, cultural landscape, reconstruction},\n\tpages = {1153--1164},\n}\n\n
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\n The population boom-and-bust during the European Neolithic (7000–2000 BC) has been the subject of lively discussion for the past decade. Most of the research on this topic was carried out with help of summed radiocarbon probability distributions. We aim to reconstruct population dynamics within the catchment of a medium sized lake on the basis of information on the presence of all known past human activities. We calculated a human activity model based on Monte Carlo simulations. The model showed the lowest level of human activity between 4000 and 3000 BC. For a better understanding of long-term socio-environmental dynamics, we also used the results of a pollen-based quantitative vegetation model, as well as a local macrophysical climate model. The beginning of the decline of archaeologically visible human activities corresponds with climatic changes and an increase in secondary forest taxa probably indicating more extensive land use. In addition, social and technological innovations are important, such as the introduction of the ard, wheel, animal traction and metallurgy, as well as changes in social hierarchy characterizing the same period.\n
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\n \n\n \n \n \n \n \n Using historical ecology to reassess the conservation status of coniferous forests in Central Europe.\n \n \n \n\n\n \n Szabó, P.; Kuneš, P.; Svobodová‐Svitavská, H.; Švarcová, M. G.; Křížová, L.; Suchánková, S.; Müllerová, J.; and Hédl, R.\n\n\n \n\n\n\n Conservation Biology, 31(1): 150–160. February 2017.\n [IF2016=4.842]\n\n\n\n
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@article{szabo_using_2017,\n\ttitle = {Using historical ecology to reassess the conservation status of coniferous forests in {Central} {Europe}},\n\tvolume = {31},\n\tcopyright = {All rights reserved},\n\tissn = {1523-1739},\n\tdoi = {10.1111/cobi.12763},\n\tabstract = {Forests cover approximately one-third of Central Europe. Oak (Quercus) and European beech (Fagus sylvatica) are considered the natural dominants at low and middle elevations, respectively. Many coniferous forests (especially of Picea abies) occur primarily at midelevations, but these are thought to have resulted from forestry plantations planted over the past 200 years. Nature conservation and forestry policy seek to promote broadleaved trees over conifers. However, there are discrepancies between conservation guidelines (included in Natura 2000) and historical and palaeoecological data with regard to the distribution of conifers. Our aim was to bring new evidence to the debate on the conservation of conifers versus broadleaved trees at midelevations in Central Europe. We created a vegetation and land-cover model based on pollen data for a highland area of 11,300 km2 in the Czech Republic and assessed tree species composition in the forests before the onset of modern forestry based on 18th-century archival sources. Conifers dominated the study region throughout the entire Holocene (approximately 40–60\\% of the area). Broadleaved trees were present in a much smaller area than envisaged by current ideas of natural vegetation. Rather than casting doubt on the principles of Central European nature conservation in general, our results highlight the necessity of detailed regional investigations and the importance of historical data in challenging established notions on the natural distribution of tree species.},\n\tlanguage = {English},\n\tnumber = {1},\n\turldate = {2017-01-26},\n\tjournal = {Conservation Biology},\n\tauthor = {Szabó, Péter and Kuneš, Petr and Svobodová‐Svitavská, Helena and Švarcová, Markéta Gabriela and Křížová, Lucie and Suchánková, Silvie and Müllerová, Jana and Hédl, Radim},\n\tmonth = feb,\n\tyear = {2017},\n\tnote = {[IF2016=4.842]},\n\tkeywords = {Czech Republic, Historical ecology, Holocene, LRA, REVEALS, conservation, interdisciplinarity, potential natural vegetation, reconstruction},\n\tpages = {150--160},\n}\n\n
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\n Forests cover approximately one-third of Central Europe. Oak (Quercus) and European beech (Fagus sylvatica) are considered the natural dominants at low and middle elevations, respectively. Many coniferous forests (especially of Picea abies) occur primarily at midelevations, but these are thought to have resulted from forestry plantations planted over the past 200 years. Nature conservation and forestry policy seek to promote broadleaved trees over conifers. However, there are discrepancies between conservation guidelines (included in Natura 2000) and historical and palaeoecological data with regard to the distribution of conifers. Our aim was to bring new evidence to the debate on the conservation of conifers versus broadleaved trees at midelevations in Central Europe. We created a vegetation and land-cover model based on pollen data for a highland area of 11,300 km2 in the Czech Republic and assessed tree species composition in the forests before the onset of modern forestry based on 18th-century archival sources. Conifers dominated the study region throughout the entire Holocene (approximately 40–60% of the area). Broadleaved trees were present in a much smaller area than envisaged by current ideas of natural vegetation. Rather than casting doubt on the principles of Central European nature conservation in general, our results highlight the necessity of detailed regional investigations and the importance of historical data in challenging established notions on the natural distribution of tree species.\n
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\n \n\n \n \n \n \n \n \n A pollen-based quantitative reconstruction of the Holocene vegetation updates a perspective on the natural vegetation in the Czech Republic and Slovakia.\n \n \n \n \n\n\n \n Abraham, V.; Kuneš, P.; Petr, L.; Svitavská-Svobodová, H.; Kozáková, R.; Jamrichová, E.; Švarcová, M. G.; and Pokorný, P.\n\n\n \n\n\n\n Preslia, 88(4): 409–434. 2016.\n [IF2015=2.711]\n\n\n\n
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@article{abraham_pollen-based_2016,\n\ttitle = {A pollen-based quantitative reconstruction of the {Holocene} vegetation updates a perspective on the natural vegetation in the {Czech} {Republic} and {Slovakia}},\n\tvolume = {88},\n\tcopyright = {All rights reserved},\n\turl = {http://www.preslia.cz/P164Abraham.pdf},\n\tlanguage = {English},\n\tnumber = {4},\n\tjournal = {Preslia},\n\tauthor = {Abraham, Vojtěch and Kuneš, Petr and Petr, Libor and Svitavská-Svobodová, Helena and Kozáková, Radka and Jamrichová, Eva and Švarcová, Markéta Gabriela and Pokorný, Petr},\n\tyear = {2016},\n\tnote = {[IF2015=2.711]},\n\tkeywords = {Czech Republic, Database, Holocene, LRA, REVEALS, Slovakia, conservation, pollen data, potential natural vegetation, reconstruction},\n\tpages = {409--434},\n}\n\n
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\n \n\n \n \n \n \n \n The origin of grasslands in the temperate forest zone of east-central Europe: long-term legacy of climate and human impact.\n \n \n \n\n\n \n Kuneš, P.; Svobodová-Svitavská, H.; Kolář, J.; Hajnalová, M.; Abraham, V.; Macek, M.; Tkáč, P.; and Szabó, P.\n\n\n \n\n\n\n Quaternary Science Reviews, 116: 15–27. May 2015.\n [IF2014=4.572]\n\n\n\n
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@article{kunes_origin_2015,\n\ttitle = {The origin of grasslands in the temperate forest zone of east-central {Europe}: long-term legacy of climate and human impact},\n\tvolume = {116},\n\tcopyright = {All rights reserved},\n\tissn = {0277-3791},\n\tshorttitle = {The origin of grasslands in the temperate forest zone of east-central {Europe}},\n\tdoi = {10.1016/j.quascirev.2015.03.014},\n\tabstract = {The post-glacial fate of central European grasslands has stimulated palaeoecological debates for a century. Some argued for the continuous survival of open land, while others claimed that closed forest had developed during the Middle Holocene. The reasons behind stability or changes in the proportion of open land are also unclear. We aim to reconstruct regional vegetation openness and test the effects of climate and human impact on vegetation change throughout the Holocene. We present a newly dated pollen record from north-western fringes of the Pannonian Plain, east-central Europe, and reconstruct Holocene regional vegetation development by the REVEALS model for 27 pollen-equivalent taxa. Estimated vegetation is correlated in the same area with a human activity model based on all available archaeological information and a macrophysical climate model. The palaeovegetation record indicates the continuous presence of open land throughout the Holocene. Grasslands and open woodlands were probably maintained by local arid climatic conditions during the early Holocene delaying the spread of deciduous (oak) forests. Significantly detectable human-made landscape transformation started only after 2000 BC. Our analyses suggest that Neolithic people spread into a landscape that was already open. Humans probably contributed to the spread of oak, and influenced the dynamics of hazel and hornbeam.},\n\tlanguage = {English},\n\turldate = {2015-04-09},\n\tjournal = {Quaternary Science Reviews},\n\tauthor = {Kuneš, Petr and Svobodová-Svitavská, Helena and Kolář, Jan and Hajnalová, Mária and Abraham, Vojtěch and Macek, Martin and Tkáč, Peter and Szabó, Péter},\n\tmonth = may,\n\tyear = {2015},\n\tnote = {[IF2014=4.572]},\n\tkeywords = {Carpathian Basin, Czech Republic, Holocene, LRA, MCM model, REVEALS, conservation, pollen analysis, quantitative vegetation reconstruction},\n\tpages = {15--27},\n}\n\n
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\n The post-glacial fate of central European grasslands has stimulated palaeoecological debates for a century. Some argued for the continuous survival of open land, while others claimed that closed forest had developed during the Middle Holocene. The reasons behind stability or changes in the proportion of open land are also unclear. We aim to reconstruct regional vegetation openness and test the effects of climate and human impact on vegetation change throughout the Holocene. We present a newly dated pollen record from north-western fringes of the Pannonian Plain, east-central Europe, and reconstruct Holocene regional vegetation development by the REVEALS model for 27 pollen-equivalent taxa. Estimated vegetation is correlated in the same area with a human activity model based on all available archaeological information and a macrophysical climate model. The palaeovegetation record indicates the continuous presence of open land throughout the Holocene. Grasslands and open woodlands were probably maintained by local arid climatic conditions during the early Holocene delaying the spread of deciduous (oak) forests. Significantly detectable human-made landscape transformation started only after 2000 BC. Our analyses suggest that Neolithic people spread into a landscape that was already open. Humans probably contributed to the spread of oak, and influenced the dynamics of hazel and hornbeam.\n
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\n \n\n \n \n \n \n \n European pollen-based REVEALS land-cover reconstructions for the Holocene: methodology, mapping and potentials.\n \n \n \n\n\n \n Githumbi, E.; Fyfe, R.; Gaillard, M.; Trondman, A.; Mazier, F.; Nielsen, A.; Poska, A.; Sugita, S.; Woodbridge, J.; Azuara, J.; Feurdean, A.; Grindean, R.; Lebreton, V.; Marquer, L.; Nebout-Combourieu, N.; Stančikaitė, M.; Tanţău, I.; Tonkov, S.; Shumilovskikh, L.; and data contributors , L.\n\n\n \n\n\n\n Earth System Science Data, 14(4): 1581–1619. April 2022.\n [IF2021=11.815; AIS2021=4.141]\n\n\n\n
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@article{githumbi_european_2022,\n\ttitle = {European pollen-based {REVEALS} land-cover reconstructions for the {Holocene}: methodology, mapping and potentials},\n\tvolume = {14},\n\tissn = {1866-3508},\n\tshorttitle = {European pollen-based {REVEALS} land-cover reconstructions for the {Holocene}},\n\tdoi = {10.5194/essd-14-1581-2022},\n\tabstract = {{\\textless}p{\\textgreater}{\\textless}strong class="journal-contentHeaderColor"{\\textgreater}Abstract.{\\textless}/strong{\\textgreater} Quantitative reconstructions of past land cover are necessary to determine the processes involved in climate–human–land-cover interactions. We present the first temporally continuous and most spatially extensive pollen-based land-cover reconstruction for Europe over the Holocene (last 11 700 cal yr BP). We describe how vegetation cover has been quantified from pollen records at a 1{\\textless}span class="inline-formula"{\\textgreater}$^{\\textrm{∘}}${\\textless}/span{\\textgreater} {\\textless}span class="inline-formula"{\\textgreater}×{\\textless}/span{\\textgreater} 1{\\textless}span class="inline-formula"{\\textgreater}$^{\\textrm{∘}}${\\textless}/span{\\textgreater} spatial scale using the “Regional Estimates of VEgetation Abundance from Large Sites” (REVEALS) model. REVEALS calculates estimates of past regional vegetation cover in proportions or percentages. REVEALS has been applied to 1128 pollen records across Europe and part of the eastern Mediterranean–Black Sea–Caspian corridor (30–75{\\textless}span class="inline-formula"{\\textgreater}$^{\\textrm{∘}}${\\textless}/span{\\textgreater} N, 25{\\textless}span class="inline-formula"{\\textgreater}$^{\\textrm{∘}}${\\textless}/span{\\textgreater} W–50{\\textless}span class="inline-formula"{\\textgreater}$^{\\textrm{∘}}${\\textless}/span{\\textgreater} E) to reconstruct the percentage cover of 31 plant taxa assigned to 12 plant functional types (PFTs) and 3 land-cover types (LCTs). A new synthesis of relative pollen productivities (RPPs) for European plant taxa was performed for this reconstruction. It includes multiple RPP values ({\\textless}span class="inline-formula"{\\textgreater}≥2{\\textless}/span{\\textgreater} values) for 39 taxa and single values for 15 taxa (total of 54 taxa). To illustrate this, we present distribution maps for five taxa (\\textit{Calluna vulgaris}, Cerealia type (t)., \\textit{Picea abies}, deciduous \\textit{Quercus} t. and evergreen \\textit{Quercus} t.) and three land-cover types (open land, OL; evergreen trees, ETs; and summer-green trees, STs) for eight selected time windows. The reliability of the REVEALS reconstructions and issues related to the interpretation of the results in terms of landscape openness and human-induced vegetation change are discussed. This is followed by a review of the current use of this reconstruction and its future potential utility and development. REVEALS data quality are primarily determined by pollen count data (pollen count and sample, pollen identification, and chronology) and site type and number (lake or bog, large or small, one site vs. multiple sites) used for REVEALS analysis (for each grid cell). A large number of sites with high-quality pollen count data will produce more reliable land-cover estimates with lower standard errors compared to a low number of sites with lower-quality pollen count data. The REVEALS data presented here can be downloaded from {\\textless}a href="https://doi.org/10.1594/PANGAEA.937075"{\\textgreater}https://doi.org/10.1594/PANGAEA.937075{\\textless}/a{\\textgreater} (Fyfe et al., 2022).{\\textless}/p{\\textgreater}},\n\tlanguage = {English},\n\tnumber = {4},\n\turldate = {2022-04-19},\n\tjournal = {Earth System Science Data},\n\tauthor = {Githumbi, Esther and Fyfe, Ralph and Gaillard, Marie-Jose and Trondman, Anna-Kari and Mazier, Florence and Nielsen, Anne-Birgitte and Poska, Anneli and Sugita, Shinya and Woodbridge, Jessie and Azuara, Julien and Feurdean, Angelica and Grindean, Roxana and Lebreton, Vincent and Marquer, Laurent and Nebout-Combourieu, Nathalie and Stančikaitė, Miglė and Tanţău, Ioan and Tonkov, Spassimir and Shumilovskikh, Lyudmila and LandClimII data contributors},\n\tmonth = apr,\n\tyear = {2022},\n\tnote = {[IF2021=11.815; AIS2021=4.141]},\n\tkeywords = {reconstruction},\n\tpages = {1581--1619},\n}\n\n
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\n \\textlessp\\textgreater\\textlessstrong class=\"journal-contentHeaderColor\"\\textgreaterAbstract.\\textless/strong\\textgreater Quantitative reconstructions of past land cover are necessary to determine the processes involved in climate–human–land-cover interactions. We present the first temporally continuous and most spatially extensive pollen-based land-cover reconstruction for Europe over the Holocene (last 11 700 cal yr BP). We describe how vegetation cover has been quantified from pollen records at a 1\\textlessspan class=\"inline-formula\"\\textgreater$^{\\textrm{∘}}$\\textless/span\\textgreater \\textlessspan class=\"inline-formula\"\\textgreater×\\textless/span\\textgreater 1\\textlessspan class=\"inline-formula\"\\textgreater$^{\\textrm{∘}}$\\textless/span\\textgreater spatial scale using the “Regional Estimates of VEgetation Abundance from Large Sites” (REVEALS) model. REVEALS calculates estimates of past regional vegetation cover in proportions or percentages. REVEALS has been applied to 1128 pollen records across Europe and part of the eastern Mediterranean–Black Sea–Caspian corridor (30–75\\textlessspan class=\"inline-formula\"\\textgreater$^{\\textrm{∘}}$\\textless/span\\textgreater N, 25\\textlessspan class=\"inline-formula\"\\textgreater$^{\\textrm{∘}}$\\textless/span\\textgreater W–50\\textlessspan class=\"inline-formula\"\\textgreater$^{\\textrm{∘}}$\\textless/span\\textgreater E) to reconstruct the percentage cover of 31 plant taxa assigned to 12 plant functional types (PFTs) and 3 land-cover types (LCTs). A new synthesis of relative pollen productivities (RPPs) for European plant taxa was performed for this reconstruction. It includes multiple RPP values (\\textlessspan class=\"inline-formula\"\\textgreater≥2\\textless/span\\textgreater values) for 39 taxa and single values for 15 taxa (total of 54 taxa). To illustrate this, we present distribution maps for five taxa (Calluna vulgaris, Cerealia type (t)., Picea abies, deciduous Quercus t. and evergreen Quercus t.) and three land-cover types (open land, OL; evergreen trees, ETs; and summer-green trees, STs) for eight selected time windows. The reliability of the REVEALS reconstructions and issues related to the interpretation of the results in terms of landscape openness and human-induced vegetation change are discussed. This is followed by a review of the current use of this reconstruction and its future potential utility and development. REVEALS data quality are primarily determined by pollen count data (pollen count and sample, pollen identification, and chronology) and site type and number (lake or bog, large or small, one site vs. multiple sites) used for REVEALS analysis (for each grid cell). A large number of sites with high-quality pollen count data will produce more reliable land-cover estimates with lower standard errors compared to a low number of sites with lower-quality pollen count data. The REVEALS data presented here can be downloaded from \\textlessa href=\"https://doi.org/10.1594/PANGAEA.937075\"\\textgreaterhttps://doi.org/10.1594/PANGAEA.937075\\textless/a\\textgreater (Fyfe et al., 2022).\\textless/p\\textgreater\n
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\n \n\n \n \n \n \n \n Disruption of cultural burning promotes shrub encroachment and unprecedented wildfires.\n \n \n \n\n\n \n Mariani, M.; Connor, S. E; Theuerkauf, M.; Herbert, A.; Kuneš, P.; Bowman, D.; Fletcher, M.; Head, L.; Kershaw, A P.; Haberle, S. G; Stevenson, J.; Adeleye, M.; Cadd, H.; Hopf, F.; and Briles, C.\n\n\n \n\n\n\n Frontiers in Ecology and the Environment, 20(5): 292–300. 2022.\n [IF2021=13.789;AIS2021=4.071]\n\n\n\n
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@article{mariani_disruption_2022,\n\ttitle = {Disruption of cultural burning promotes shrub encroachment and unprecedented wildfires},\n\tvolume = {20},\n\tissn = {1540-9309},\n\tdoi = {10.1002/fee.2395},\n\tabstract = {Recent catastrophic fires in Australia and North America have raised broad-scale questions about how the cessation of Indigenous burning practices has impacted fuel accumulation and structure. For sustainable coexistence with fire, a better understanding of the ancient nexus between humans and flammable landscapes is needed. We used novel palaeoecological modeling and charcoal compilations to reassess evidence for changes in land cover and fire activity, focusing on southeast Australia before and after British colonization. Here, we provide what we believe is the first quantitative evidence that the region’s forests and woodlands contained fewer shrubs and more grass before colonization. Changes in vegetation, fuel structures, and connectivity followed different trajectories in different vegetation types. The pattern is best explained by the disruption of Indigenous vegetation management caused by European settlement. Combined with climate-change impacts on fire weather and drought, the widespread absence of Indigenous fire management practices likely preconditioned fire-prone regions for wildfires of unprecedented extent.},\n\tlanguage = {English},\n\tnumber = {5},\n\turldate = {2022-06-22},\n\tjournal = {Frontiers in Ecology and the Environment},\n\tauthor = {Mariani, Michela and Connor, Simon E and Theuerkauf, Martin and Herbert, Annika and Kuneš, Petr and Bowman, David and Fletcher, Michael-Shawn and Head, Lesley and Kershaw, A Peter and Haberle, Simon G and Stevenson, Janelle and Adeleye, Matthew and Cadd, Haidee and Hopf, Feli and Briles, Christy},\n\tyear = {2022},\n\tnote = {[IF2021=13.789;AIS2021=4.071]},\n\tkeywords = {disturbance, reconstruction},\n\tpages = {292--300},\n}\n\n
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\n Recent catastrophic fires in Australia and North America have raised broad-scale questions about how the cessation of Indigenous burning practices has impacted fuel accumulation and structure. For sustainable coexistence with fire, a better understanding of the ancient nexus between humans and flammable landscapes is needed. We used novel palaeoecological modeling and charcoal compilations to reassess evidence for changes in land cover and fire activity, focusing on southeast Australia before and after British colonization. Here, we provide what we believe is the first quantitative evidence that the region’s forests and woodlands contained fewer shrubs and more grass before colonization. Changes in vegetation, fuel structures, and connectivity followed different trajectories in different vegetation types. The pattern is best explained by the disruption of Indigenous vegetation management caused by European settlement. Combined with climate-change impacts on fire weather and drought, the widespread absence of Indigenous fire management practices likely preconditioned fire-prone regions for wildfires of unprecedented extent.\n
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\n \n\n \n \n \n \n \n Spatial scaling of pollen-plant diversity relationship in landscapes with contrasting diversity patterns.\n \n \n \n\n\n \n Abraham, V.; Kuneš, P.; Vild, O.; Jamrichová, E.; Plesková, Z.; Werchan, B.; Svitavská-Svobodová, H.; and Roleček, J.\n\n\n \n\n\n\n Scientific Reports, 12(1): 17937. October 2022.\n [IF2021=4.997;AIS2021=1.208]\n\n\n\n
\n\n\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 \n \n\n\n\n
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@article{abraham_spatial_2022,\n\ttitle = {Spatial scaling of pollen-plant diversity relationship in landscapes with contrasting diversity patterns},\n\tvolume = {12},\n\tcopyright = {2022 The Author(s)},\n\tissn = {2045-2322},\n\tdoi = {10.1038/s41598-022-22353-3},\n\tabstract = {Mitigating the effects of global change on biodiversity requires its understanding in the past. The main proxy of plant diversity, fossil pollen record, has a complex relationship to surrounding vegetation and unknown spatial scale. We explored both using modern pollen spectra in species-rich and species-poor regions in temperate Central Europe. We also considered the biasing effects of the trees by using sites in forests and open habitats in each region. Pollen samples were collected from moss polsters at 60 sites and plant species were recorded along two 1 km-transects at each site. We found a significant positive correlation between pollen and plant richness (alpha diversity) in both complete datasets and for both subsets from open habitats. Pollen richness in forest datasets is not significantly related to floristic data due to canopy interception of pollen rather than to pollen productivity. Variances (beta diversity) of the six pollen and floristic datasets are strongly correlated. The source area of pollen richness is determined by the number of species appearing with increasing distance, which aggregates information on diversity of individual patches within the landscape mosaic and on their compositional similarity. Our results validate pollen as a reconstruction tool for plant diversity in the past.},\n\tlanguage = {English},\n\tnumber = {1},\n\turldate = {2022-10-26},\n\tjournal = {Scientific Reports},\n\tauthor = {Abraham, Vojtěch and Kuneš, Petr and Vild, Ondřej and Jamrichová, Eva and Plesková, Zuzana and Werchan, Barbora and Svitavská-Svobodová, Helena and Roleček, Jan},\n\tmonth = oct,\n\tyear = {2022},\n\tnote = {[IF2021=4.997;AIS2021=1.208]},\n\tkeywords = {Biodiversity, Palaeoecology, reconstruction},\n\tpages = {17937},\n}\n\n
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\n Mitigating the effects of global change on biodiversity requires its understanding in the past. The main proxy of plant diversity, fossil pollen record, has a complex relationship to surrounding vegetation and unknown spatial scale. We explored both using modern pollen spectra in species-rich and species-poor regions in temperate Central Europe. We also considered the biasing effects of the trees by using sites in forests and open habitats in each region. Pollen samples were collected from moss polsters at 60 sites and plant species were recorded along two 1 km-transects at each site. We found a significant positive correlation between pollen and plant richness (alpha diversity) in both complete datasets and for both subsets from open habitats. Pollen richness in forest datasets is not significantly related to floristic data due to canopy interception of pollen rather than to pollen productivity. Variances (beta diversity) of the six pollen and floristic datasets are strongly correlated. The source area of pollen richness is determined by the number of species appearing with increasing distance, which aggregates information on diversity of individual patches within the landscape mosaic and on their compositional similarity. Our results validate pollen as a reconstruction tool for plant diversity in the past.\n
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\n \n\n \n \n \n \n \n Holocene plant diversity dynamics show a distinct biogeographical pattern in temperate Europe.\n \n \n \n\n\n \n Roleček, J.; Abraham, V.; Vild, O.; Svitavská, H. S.; Jamrichová, E.; Plesková, Z.; Pokorný, P.; and Kuneš, P.\n\n\n \n\n\n\n Journal of Biogeography, 48(6): 1366–1376. 2021.\n [IF2020=4.324]\n\n\n\n
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@article{rolecek_holocene_2021,\n\ttitle = {Holocene plant diversity dynamics show a distinct biogeographical pattern in temperate {Europe}},\n\tvolume = {48},\n\tcopyright = {© 2021 John Wiley \\& Sons Ltd},\n\tissn = {1365-2699},\n\tdoi = {https://doi.org/10.1111/jbi.14082},\n\tabstract = {Aim Pollen has been used before to reconstruct Holocene plant diversity changes in broadly delimited regions such as continents and countries. In this study we ask whether finer-scale differences in plant diversity, which are of interest to biogeographers and ecologists, are also detectable in the fossil pollen record coming from a single, biogeographically complex region of temperate Europe. Location Central Europe (Czech Republic, Slovakia). Taxon Vascular plants. Methods Fossil pollen extracted from 18 high-quality profiles was used as a proxy of past plant diversity. Pollen counts of tree taxa were corrected by pollen productivities and pollen assemblages were resampled to 100 grains per sample and 150 grains per 500-year time window. SiZer analysis was used to test and visualize multi-scale diversity patterns. SiZer maps were compared using principal coordinate analysis, and linear modelling was used to identify the best predictors. Pollen composition was analysed using non-metric multidimensional scaling. K-means clustering and indicator species analysis were used to interpret ordination results. Results Mean Holocene plant diversity is significantly predicted by latitude, whilst its temporal pattern varies by biogeographical region. Major differences were found between the Mesic and Montane Hercynia (relatively low diversity, increasing only in the Late Holocene) and Pannonia, the Carpathians and the Warm Hercynia (higher diversity, increasing from the Early or Middle Holocene onwards). The low diversity in the Middle and Late Holocene is associated with the prevalence of woody and acidophilic taxa. High diversity is associated with numerous grassland and minerotrophic wetland taxa, crops and weeds. Main conclusions Plant diversity and its changes during the Holocene are geographically structured across temperate Europe. The main causes appear to be differences between biogeographical regions in the dynamics of landscape openness and vegetation composition. The differences reflect spatial patterns in climate and human impact and their temporal changes.},\n\tlanguage = {English},\n\tnumber = {6},\n\turldate = {2021-05-30},\n\tjournal = {Journal of Biogeography},\n\tauthor = {Roleček, Jan and Abraham, Vojtěch and Vild, Ondřej and Svitavská, Helena Svobodová and Jamrichová, Eva and Plesková, Zuzana and Pokorný, Petr and Kuneš, Petr},\n\tyear = {2021},\n\tnote = {[IF2020=4.324]},\n\tkeywords = {Central Europe, Postglacial, biogeographical regions, diversity trends, pollen richness, reconstruction, spatial patterns, vascular plants},\n\tpages = {1366--1376},\n}\n\n
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\n Aim Pollen has been used before to reconstruct Holocene plant diversity changes in broadly delimited regions such as continents and countries. In this study we ask whether finer-scale differences in plant diversity, which are of interest to biogeographers and ecologists, are also detectable in the fossil pollen record coming from a single, biogeographically complex region of temperate Europe. Location Central Europe (Czech Republic, Slovakia). Taxon Vascular plants. Methods Fossil pollen extracted from 18 high-quality profiles was used as a proxy of past plant diversity. Pollen counts of tree taxa were corrected by pollen productivities and pollen assemblages were resampled to 100 grains per sample and 150 grains per 500-year time window. SiZer analysis was used to test and visualize multi-scale diversity patterns. SiZer maps were compared using principal coordinate analysis, and linear modelling was used to identify the best predictors. Pollen composition was analysed using non-metric multidimensional scaling. K-means clustering and indicator species analysis were used to interpret ordination results. Results Mean Holocene plant diversity is significantly predicted by latitude, whilst its temporal pattern varies by biogeographical region. Major differences were found between the Mesic and Montane Hercynia (relatively low diversity, increasing only in the Late Holocene) and Pannonia, the Carpathians and the Warm Hercynia (higher diversity, increasing from the Early or Middle Holocene onwards). The low diversity in the Middle and Late Holocene is associated with the prevalence of woody and acidophilic taxa. High diversity is associated with numerous grassland and minerotrophic wetland taxa, crops and weeds. Main conclusions Plant diversity and its changes during the Holocene are geographically structured across temperate Europe. The main causes appear to be differences between biogeographical regions in the dynamics of landscape openness and vegetation composition. The differences reflect spatial patterns in climate and human impact and their temporal changes.\n
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\n \n\n \n \n \n \n \n \n Global acceleration in rates of vegetation change over the past 18,000 years.\n \n \n \n \n\n\n \n Mottl, O.; Flantua, S. G. A.; Bhatta, K. P.; Felde, V. A.; Giesecke, T.; Goring, S.; Grimm, E. C.; Haberle, S.; Hooghiemstra, H.; Ivory, S.; Kuneš, P.; Wolters, S.; Seddon, A. W. R.; and Williams, J. W.\n\n\n \n\n\n\n Science, 372(6544): 860–864. May 2021.\n [IF2020=47.728]\n\n\n\n
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@article{mottl_global_2021,\n\ttitle = {Global acceleration in rates of vegetation change over the past 18,000 years},\n\tvolume = {372},\n\tissn = {0036-8075, 1095-9203},\n\turl = {https://science.sciencemag.org/content/372/6544/860},\n\tdoi = {10.1126/science.abg1685},\n\tabstract = {The pace of Holocene vegetation change\nAlthough much is known about the rapid environmental changes that have occurred since the Industrial Revolution, the patterns of change over the preceding millennia have been only patchily understood. Using a global set of {\\textgreater}1100 fossil pollen records, Mottl et al. explored the rates of vegetation change over the past 18,000 years (see the Perspective by Overpeck and Breshears). The authors show that the rates of change accelerated markedly during the Late Holocene (∼4.6 to 2.9 thousand years ago), even more rapidly than the climate-driven vegetation changes associated with the end of the last glacial period. In addition, the Late Holocene acceleration began for terrestrial communities as a whole, suggesting that the acceleration in turnover over the past two centuries is the tip of a deeper trend.\nScience, abg1685, this issue p. 860; see also abi9902, p. 786\nGlobal vegetation over the past 18,000 years has been transformed first by the climate changes that accompanied the last deglaciation and again by increasing human pressures; however, the magnitude and patterns of rates of vegetation change are poorly understood globally. Using a compilation of 1181 fossil pollen sequences and newly developed statistical methods, we detect a worldwide acceleration in the rates of vegetation compositional change beginning between 4.6 and 2.9 thousand years ago that is globally unprecedented over the past 18,000 years in both magnitude and extent. Late Holocene rates of change equal or exceed the deglacial rates for all continents, which suggests that the scale of human effects on terrestrial ecosystems exceeds even the climate-driven transformations of the last deglaciation. The acceleration of biodiversity change demonstrated in ecological datasets from the past century began millennia ago.\nA compilation of fossil pollen sequences shows that the acceleration of biodiversity change began millennia ago.\nA compilation of fossil pollen sequences shows that the acceleration of biodiversity change began millennia ago.},\n\tlanguage = {English},\n\tnumber = {6544},\n\turldate = {2021-05-20},\n\tjournal = {Science},\n\tauthor = {Mottl, Ondřej and Flantua, Suzette G. A. and Bhatta, Kuber P. and Felde, Vivian A. and Giesecke, Thomas and Goring, Simon and Grimm, Eric C. and Haberle, Simon and Hooghiemstra, Henry and Ivory, Sarah and Kuneš, Petr and Wolters, Steffen and Seddon, Alistair W. R. and Williams, John W.},\n\tmonth = may,\n\tyear = {2021},\n\tnote = {[IF2020=47.728]},\n\tkeywords = {Database, reconstruction},\n\tpages = {860--864},\n}\n\n
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\n The pace of Holocene vegetation change Although much is known about the rapid environmental changes that have occurred since the Industrial Revolution, the patterns of change over the preceding millennia have been only patchily understood. Using a global set of \\textgreater1100 fossil pollen records, Mottl et al. explored the rates of vegetation change over the past 18,000 years (see the Perspective by Overpeck and Breshears). The authors show that the rates of change accelerated markedly during the Late Holocene (∼4.6 to 2.9 thousand years ago), even more rapidly than the climate-driven vegetation changes associated with the end of the last glacial period. In addition, the Late Holocene acceleration began for terrestrial communities as a whole, suggesting that the acceleration in turnover over the past two centuries is the tip of a deeper trend. Science, abg1685, this issue p. 860; see also abi9902, p. 786 Global vegetation over the past 18,000 years has been transformed first by the climate changes that accompanied the last deglaciation and again by increasing human pressures; however, the magnitude and patterns of rates of vegetation change are poorly understood globally. Using a compilation of 1181 fossil pollen sequences and newly developed statistical methods, we detect a worldwide acceleration in the rates of vegetation compositional change beginning between 4.6 and 2.9 thousand years ago that is globally unprecedented over the past 18,000 years in both magnitude and extent. Late Holocene rates of change equal or exceed the deglacial rates for all continents, which suggests that the scale of human effects on terrestrial ecosystems exceeds even the climate-driven transformations of the last deglaciation. The acceleration of biodiversity change demonstrated in ecological datasets from the past century began millennia ago. A compilation of fossil pollen sequences shows that the acceleration of biodiversity change began millennia ago. A compilation of fossil pollen sequences shows that the acceleration of biodiversity change began millennia ago.\n
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\n \n\n \n \n \n \n \n Present-day vegetation helps quantifying past land cover in selected regions of the Czech Republic.\n \n \n \n\n\n \n Abraham, V.; Oušková, V.; and Kuneš, P.\n\n\n \n\n\n\n PLoS ONE, 9(6): e100117. June 2014.\n [IF2013=3.534]\n\n\n\n
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@article{abraham_present-day_2014,\n\ttitle = {Present-day vegetation helps quantifying past land cover in selected regions of the {Czech} {Republic}},\n\tvolume = {9},\n\tcopyright = {All rights reserved},\n\tdoi = {10.1371/journal.pone.0100117},\n\tabstract = {The REVEALS model is a tool for recalculating pollen data into vegetation abundances on a regional scale. We explored the general effect of selected parameters by performing simulations and ascertained the best model setting for the Czech Republic using the shallowest samples from 120 fossil sites and data on actual regional vegetation (60 km radius). Vegetation proportions of 17 taxa were obtained by combining the CORINE Land Cover map with forest inventories, agricultural statistics and habitat mapping data. Our simulation shows that changing the site radius for all taxa substantially affects REVEALS estimates of taxa with heavy or light pollen grains. Decreasing the site radius has a similar effect as increasing the wind speed parameter. However, adjusting the site radius to 1 m for local taxa only (even taxa with light pollen) yields lower, more correct estimates despite their high pollen signal. Increasing the background radius does not affect the estimates significantly. Our comparison of estimates with actual vegetation in seven regions shows that the most accurate relative pollen productivity estimates (PPEs) come from Central Europe and Southern Sweden. The initial simulation and pollen data yielded unrealistic estimates for Abies under the default setting of the wind speed parameter (3 m/s). We therefore propose the setting of 4 m/s, which corresponds to the spring average in most regions of the Czech Republic studied. Ad hoc adjustment of PPEs with this setting improves the match 3–4-fold. We consider these values (apart from four exceptions) to be appropriate, because they are within the ranges of standard errors, so they are related to original PPEs. Setting a 1 m radius for local taxa (Alnus, Salix, Poaceae) significantly improves the match between estimates and actual vegetation. However, further adjustments to PPEs exceed the ranges of original values, so their relevance is uncertain.},\n\tlanguage = {English},\n\tnumber = {6},\n\turldate = {2014-06-18},\n\tjournal = {PLoS ONE},\n\tauthor = {Abraham, Vojtěch and Oušková, Veronika and Kuneš, Petr},\n\tmonth = jun,\n\tyear = {2014},\n\tnote = {[IF2013=3.534]},\n\tkeywords = {Czech Republic, LRA, Pollen dispersal, Pollen production estimate (PPE), REVEALS, reconstruction, vegetation},\n\tpages = {e100117},\n}\n\n
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\n The REVEALS model is a tool for recalculating pollen data into vegetation abundances on a regional scale. We explored the general effect of selected parameters by performing simulations and ascertained the best model setting for the Czech Republic using the shallowest samples from 120 fossil sites and data on actual regional vegetation (60 km radius). Vegetation proportions of 17 taxa were obtained by combining the CORINE Land Cover map with forest inventories, agricultural statistics and habitat mapping data. Our simulation shows that changing the site radius for all taxa substantially affects REVEALS estimates of taxa with heavy or light pollen grains. Decreasing the site radius has a similar effect as increasing the wind speed parameter. However, adjusting the site radius to 1 m for local taxa only (even taxa with light pollen) yields lower, more correct estimates despite their high pollen signal. Increasing the background radius does not affect the estimates significantly. Our comparison of estimates with actual vegetation in seven regions shows that the most accurate relative pollen productivity estimates (PPEs) come from Central Europe and Southern Sweden. The initial simulation and pollen data yielded unrealistic estimates for Abies under the default setting of the wind speed parameter (3 m/s). We therefore propose the setting of 4 m/s, which corresponds to the spring average in most regions of the Czech Republic studied. Ad hoc adjustment of PPEs with this setting improves the match 3–4-fold. We consider these values (apart from four exceptions) to be appropriate, because they are within the ranges of standard errors, so they are related to original PPEs. Setting a 1 m radius for local taxa (Alnus, Salix, Poaceae) significantly improves the match between estimates and actual vegetation. However, further adjustments to PPEs exceed the ranges of original values, so their relevance is uncertain.\n
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\n \n\n \n \n \n \n \n Regional climate model simulations for Europe at 6 and 0.2 k BP: sensitivity to changes in anthropogenic deforestation.\n \n \n \n\n\n \n Strandberg, G.; Kjellström, E.; Poska, A.; Wagner, S.; Gaillard, M.; Trondman, A.; Mauri, A.; Davis, B. A. S.; Kaplan, J. O.; Birks, H. J. B.; Bjune, A. E.; Fyfe, R.; Giesecke, T.; Kalnina, L.; Kangur, M.; van der Knaap, W. O.; Kokfelt, U.; Kuneš, P.; Latałova, M.; Marquer, L.; Mazier, F.; Nielsen, A. B.; Smith, B.; Seppä, H.; and Sugita, S.\n\n\n \n\n\n\n Climate of the Past, 10(2): 661–680. March 2014.\n [IF2013=3.482]\n\n\n\n
\n\n\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 \n \n \n \n \n \n\n\n\n
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@article{strandberg_regional_2014,\n\ttitle = {Regional climate model simulations for {Europe} at 6 and 0.2 k {BP}: sensitivity to changes in anthropogenic deforestation},\n\tvolume = {10},\n\tcopyright = {All rights reserved},\n\tissn = {1814-9332},\n\tshorttitle = {Regional climate model simulations for {Europe} at 6 and 0.2 k {BP}},\n\tdoi = {10.5194/cp-10-661-2014},\n\tlanguage = {English},\n\tnumber = {2},\n\turldate = {2014-03-28},\n\tjournal = {Climate of the Past},\n\tauthor = {Strandberg, G. and Kjellström, E. and Poska, A. and Wagner, S. and Gaillard, M.-J. and Trondman, A.-K. and Mauri, A. and Davis, B. A. S. and Kaplan, J. O. and Birks, H. J. B. and Bjune, A. E. and Fyfe, R. and Giesecke, T. and Kalnina, L. and Kangur, M. and van der Knaap, W. O. and Kokfelt, U. and Kuneš, P. and Latałova, M. and Marquer, L. and Mazier, F. and Nielsen, A. B. and Smith, B. and Seppä, H. and Sugita, S.},\n\tmonth = mar,\n\tyear = {2014},\n\tnote = {[IF2013=3.482]},\n\tkeywords = {Europe, REVEALS, climate model, human impact, reconstruction},\n\tpages = {661--680},\n}\n\n
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\n \n\n \n \n \n \n \n \n Testing quantitative pollen dispersal models in animal-pollinated vegetation mosaics: An example from temperate Tasmania, Australia.\n \n \n \n \n\n\n \n Mariani, M.; Connor, S. E.; Theuerkauf, M.; Kuneš, P.; and Fletcher, M. -.\n\n\n \n\n\n\n Quaternary Science Reviews, 154: 214–225. December 2016.\n [IF2015=4.521]\n\n\n\n
\n\n\n\n \n \n \"TestingPaper\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 \n \n \n \n \n \n\n\n\n
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@article{mariani_testing_2016,\n\ttitle = {Testing quantitative pollen dispersal models in animal-pollinated vegetation mosaics: {An} example from temperate {Tasmania}, {Australia}},\n\tvolume = {154},\n\tcopyright = {All rights reserved},\n\tissn = {0277-3791},\n\tshorttitle = {Testing quantitative pollen dispersal models in animal-pollinated vegetation mosaics},\n\turl = {http://www.sciencedirect.com/science/article/pii/S0277379116304851},\n\tdoi = {10.1016/j.quascirev.2016.10.020},\n\tabstract = {Reconstructing past vegetation abundance and land-cover changes through time has important implications in land management and climate modelling. To date palaeovegetation reconstructions in Australia have been limited to qualitative or semi-quantitative inferences from pollen data. Testing pollen dispersal models constitutes a crucial step in developing quantitative past vegetation and land cover reconstructions. Thus far, the application of quantitative pollen dispersal models has been restricted to regions dominated by wind-pollinated plants (e.g. Europe) and their performance in a landscape dominated by animal-pollinated plant taxa is still unexplored. Here we test, for the first time in Australia, two well-known pollen dispersal models to assess their performance in the wind- and animal-pollinated vegetation mosaics of western Tasmania. We focus on a mix of wind- (6 taxa) and animal- (7 taxa) pollinated species that comprise the most common pollen types and key representatives of the dominant vegetation formations. Pollen Productivity Estimates and Relevant Source Area of Pollen obtained using Lagrangian Stochastic turbulent simulations appear to be more realistic when compared to the results from the widely used Gaussian Plume Model.},\n\turldate = {2016-11-18},\n\tjournal = {Quaternary Science Reviews},\n\tauthor = {Mariani, M. and Connor, S. E. and Theuerkauf, M. and Kuneš, P. and Fletcher, M. -S.},\n\tmonth = dec,\n\tyear = {2016},\n\tnote = {[IF2015=4.521]},\n\tkeywords = {Australia, Pollen dispersal, Pollen production estimate (PPE), Tasmania, reconstruction},\n\tpages = {214--225},\n}\n\n
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\n Reconstructing past vegetation abundance and land-cover changes through time has important implications in land management and climate modelling. To date palaeovegetation reconstructions in Australia have been limited to qualitative or semi-quantitative inferences from pollen data. Testing pollen dispersal models constitutes a crucial step in developing quantitative past vegetation and land cover reconstructions. Thus far, the application of quantitative pollen dispersal models has been restricted to regions dominated by wind-pollinated plants (e.g. Europe) and their performance in a landscape dominated by animal-pollinated plant taxa is still unexplored. Here we test, for the first time in Australia, two well-known pollen dispersal models to assess their performance in the wind- and animal-pollinated vegetation mosaics of western Tasmania. We focus on a mix of wind- (6 taxa) and animal- (7 taxa) pollinated species that comprise the most common pollen types and key representatives of the dominant vegetation formations. Pollen Productivity Estimates and Relevant Source Area of Pollen obtained using Lagrangian Stochastic turbulent simulations appear to be more realistic when compared to the results from the widely used Gaussian Plume Model.\n
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\n \n\n \n \n \n \n \n How old is the Tasmanian cultural landscape? A test of landscape openness using quantitative land-cover reconstructions.\n \n \n \n\n\n \n Mariani, M.; Connor, S. E.; Fletcher, M.; Theuerkauf, M.; Kuneš, P.; Jacobsen, G.; Saunders, K. M.; and Zawadzki, A.\n\n\n \n\n\n\n Journal of Biogeography, 44(10): 2410–2420. 2017.\n [IF2016=4.248]\n\n\n\n
\n\n\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 \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@article{mariani_how_2017,\n\ttitle = {How old is the {Tasmanian} cultural landscape? {A} test of landscape openness using quantitative land-cover reconstructions},\n\tvolume = {44},\n\tcopyright = {All rights reserved},\n\tissn = {1365–2699},\n\tshorttitle = {How old is the {Tasmanian} cultural landscape?},\n\tdoi = {10.1111/jbi.13040},\n\tabstract = {Aim: To test competing hypotheses about the timing and extent of Holocene landscape opening using pollen-based quantitative land-cover estimates.\nLocation: Dove Lake, Tasmanian Wilderness World Heritage Area, Australia.\nMethods: Fossil pollen data were incorporated into pollen dispersal models and corrected for differences in pollen productivity among key plant taxa. Mechanistic models (REVEALS—Regional Estimates of VEgetation Abundance from Large Sites) employing different models for pollen dispersal (Gaussian plume and Lagrangian stochastic models) were evaluated and applied in the Southern Hemisphere for the first time.\nResults: Validation of the REVEALS model with vegetation cover data suggests an overall better performance of the Lagrangian stochastic model. Regional land-cover estimates for forest and non-forest plant taxa show persistent landscape openness throughout the Holocene (average landscape openness {\\textasciitilde}50\\%). Gymnoschoenus sphaerocephalus, an indicator of moorland vegetation, shows higher values during the early Holocene (11.7–9 ka) and declines slightly through the mid-Holocene (9–4.5 ka) during a phase of partial landscape afforestation. Rain forest cover reduced (from {\\textasciitilde}40\\% to {\\textasciitilde}20\\%) during the period between 4.2–3.5 ka.\nMain conclusions: Pollen percentages severely under-represent landscape openness in western Tasmania and this bias has fostered an over-estimation of Holocene forest cover from pollen data. Treeless vegetation dominated Holocene landscapes of the Dove Lake area, allowing us to reject models of landscape evolution that invoke late-Holocene replacement of a rain forest-dominated landscape by moorland. Instead, we confirm a model of Late Pleistocene inheritance of open vegetation. Rapid forest decline occurred after c. 4 ka, likely in response to regional moisture decline.},\n\tlanguage = {English},\n\tnumber = {10},\n\tjournal = {Journal of Biogeography},\n\tauthor = {Mariani, Michela and Connor, Simon E. and Fletcher, Michael-S. and Theuerkauf, Martin and Kuneš, Petr and Jacobsen, Geraldine and Saunders, Krystyna M. and Zawadzki, Atun},\n\tyear = {2017},\n\tnote = {[IF2016=4.248]},\n\tkeywords = {Australia, Holocene, REVEALS, Tasmania, cultural landscape, dispersal models, fire, landcover reconstruction, moorland, rain forest, reconstruction},\n\tpages = {2410--2420},\n}\n\n
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\n Aim: To test competing hypotheses about the timing and extent of Holocene landscape opening using pollen-based quantitative land-cover estimates. Location: Dove Lake, Tasmanian Wilderness World Heritage Area, Australia. Methods: Fossil pollen data were incorporated into pollen dispersal models and corrected for differences in pollen productivity among key plant taxa. Mechanistic models (REVEALS—Regional Estimates of VEgetation Abundance from Large Sites) employing different models for pollen dispersal (Gaussian plume and Lagrangian stochastic models) were evaluated and applied in the Southern Hemisphere for the first time. Results: Validation of the REVEALS model with vegetation cover data suggests an overall better performance of the Lagrangian stochastic model. Regional land-cover estimates for forest and non-forest plant taxa show persistent landscape openness throughout the Holocene (average landscape openness ~50%). Gymnoschoenus sphaerocephalus, an indicator of moorland vegetation, shows higher values during the early Holocene (11.7–9 ka) and declines slightly through the mid-Holocene (9–4.5 ka) during a phase of partial landscape afforestation. Rain forest cover reduced (from ~40% to ~20%) during the period between 4.2–3.5 ka. Main conclusions: Pollen percentages severely under-represent landscape openness in western Tasmania and this bias has fostered an over-estimation of Holocene forest cover from pollen data. Treeless vegetation dominated Holocene landscapes of the Dove Lake area, allowing us to reject models of landscape evolution that invoke late-Holocene replacement of a rain forest-dominated landscape by moorland. Instead, we confirm a model of Late Pleistocene inheritance of open vegetation. Rapid forest decline occurred after c. 4 ka, likely in response to regional moisture decline.\n
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\n \n\n \n \n \n \n \n Quantitative palynology informing conservation ecology in the Bohemian/Bavarian Forests of Central Europe.\n \n \n \n\n\n \n Carter, V. A.; Chiverrell, R. C.; Clear, J. L.; Kuosmanen, N.; Moravcová, A.; Svoboda, M.; Svobodová-Svitavská, H.; Leeuwen, V.; Van Leeuwen, J.; van der Knaap, W. O.; and Kuneš, P.\n\n\n \n\n\n\n Frontiers in Plant Science, 8(Article 2268): 1–14. 2018.\n [IF2017=3.678]\n\n\n\n
\n\n\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 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@article{carter_quantitative_2018,\n\ttitle = {Quantitative palynology informing conservation ecology in the {Bohemian}/{Bavarian} {Forests} of {Central} {Europe}},\n\tvolume = {8},\n\tissn = {1664-462X},\n\tdoi = {10.3389/fpls.2017.02268},\n\tabstract = {In 1927, the first pollen diagram was published from the Bohemian/Bavarian Forest region of Central Europe, providing one of the first qualitative views of the long-term vegetation development in the region. Since then significant methodological advances in quantitative approaches such as pollen influx and pollen-based vegetation models (e.g., Landscape Reconstruction Algorithm, LRA) have contributed to enhance our understanding of temporal and spatial ecology. These types of quantitative reconstructions are fundamental for conservation and restoration ecology because they provide long-term perspectives on ecosystem functioning. In the Bohemian/Bavarian Forests, forest managers have a goal to restore the original forest composition at mid-elevation forests, yet they rely on natural potential vegetation maps that do not take into account long-term vegetation dynamics. Here we reconstruct the Holocene history of forest composition and discuss the implications the LRA has for regional forest management and conservation. Two newly analysed pollen records from Prášilské jezero and Rachelsee were compared to 10 regional peat bogs/mires and two other regional lakes to reconstruct total land-cover abundance at both the regional- and local-scales. The results demonstrate that spruce has been the dominate canopy cover across the region for the past 9000 years at both high- ({\\textgreater}900 m) and mid-elevations ({\\textgreater}700-900 m) elevations. At the regional-scale, inferred from lake records, spruce has comprised an average of {\\textasciitilde}50\\% of the total forest canopy; whereas at the more local-scale at mid-elevations, spruce formed {\\textasciitilde}59\\%. Beech established {\\textasciitilde}6000 cal yr BP while fir established {\\textasciitilde}5500 cal yr BP, and reached a maximum land-cover abundance of 24\\% and 13\\% roughly 1000 years ago at mid-elevations. Over the past 500 years spruce has comprised {\\textasciitilde}47\\% land-cover, while beech and fir comprised {\\textasciitilde}8\\% and {\\textless}5\\% at mid-elevations. This approach argues for the ‘natural’ development of spruce and fir locally in zones where the paleoecology indicates the persistence of these species for millennia. Contrasting local and regional reconstructions of forest canopy cover points to a patchwork mosaic with local variability in the dominant taxa. Incorporation of paleoecological data in dialogues about biodiversity and ecosystem management is an approach that has wider utility.},\n\tlanguage = {English},\n\tnumber = {Article 2268},\n\turldate = {2017-12-28},\n\tjournal = {Frontiers in Plant Science},\n\tauthor = {Carter, Vachel A. and Chiverrell, Richard C. and Clear, Jennifer L. and Kuosmanen, Niina and Moravcová, Alice and Svoboda, Miroslav and Svobodová-Svitavská, Helena and Leeuwen, Van and Van Leeuwen, Jacqueline and van der Knaap, Willem O. and Kuneš, Petr},\n\tyear = {2018},\n\tnote = {[IF2017=3.678]},\n\tkeywords = {Abies alba, Fagus sylvatica, Holocene, Picea abies, Pollen, Reveals, disturbance, landcover, palynology, reconstruction},\n\tpages = {1--14},\n}\n\n
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\n In 1927, the first pollen diagram was published from the Bohemian/Bavarian Forest region of Central Europe, providing one of the first qualitative views of the long-term vegetation development in the region. Since then significant methodological advances in quantitative approaches such as pollen influx and pollen-based vegetation models (e.g., Landscape Reconstruction Algorithm, LRA) have contributed to enhance our understanding of temporal and spatial ecology. These types of quantitative reconstructions are fundamental for conservation and restoration ecology because they provide long-term perspectives on ecosystem functioning. In the Bohemian/Bavarian Forests, forest managers have a goal to restore the original forest composition at mid-elevation forests, yet they rely on natural potential vegetation maps that do not take into account long-term vegetation dynamics. Here we reconstruct the Holocene history of forest composition and discuss the implications the LRA has for regional forest management and conservation. Two newly analysed pollen records from Prášilské jezero and Rachelsee were compared to 10 regional peat bogs/mires and two other regional lakes to reconstruct total land-cover abundance at both the regional- and local-scales. The results demonstrate that spruce has been the dominate canopy cover across the region for the past 9000 years at both high- (\\textgreater900 m) and mid-elevations (\\textgreater700-900 m) elevations. At the regional-scale, inferred from lake records, spruce has comprised an average of ~50% of the total forest canopy; whereas at the more local-scale at mid-elevations, spruce formed ~59%. Beech established ~6000 cal yr BP while fir established ~5500 cal yr BP, and reached a maximum land-cover abundance of 24% and 13% roughly 1000 years ago at mid-elevations. Over the past 500 years spruce has comprised ~47% land-cover, while beech and fir comprised ~8% and \\textless5% at mid-elevations. This approach argues for the ‘natural’ development of spruce and fir locally in zones where the paleoecology indicates the persistence of these species for millennia. Contrasting local and regional reconstructions of forest canopy cover points to a patchwork mosaic with local variability in the dominant taxa. Incorporation of paleoecological data in dialogues about biodiversity and ecosystem management is an approach that has wider utility.\n
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\n \n\n \n \n \n \n \n Millennial to centennial vegetation change.\n \n \n \n\n\n \n Giesecke, T.; Kuneš, P.; and Reitalu, T.\n\n\n \n\n\n\n Journal of Vegetation Science, 29(3): 357–359. 2018.\n [IF2017=2.658]\n\n\n\n
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@article{giesecke_millennial_2018,\n\ttitle = {Millennial to centennial vegetation change},\n\tvolume = {29},\n\tcopyright = {© 2018 International Association for Vegetation Science},\n\tissn = {1654–1103},\n\tdoi = {10.1111/jvs.12650},\n\tlanguage = {English},\n\tnumber = {3},\n\turldate = {2018-07-16},\n\tjournal = {Journal of Vegetation Science},\n\tauthor = {Giesecke, Thomas and Kuneš, Petr and Reitalu, Triin},\n\tyear = {2018},\n\tnote = {[IF2017=2.658]},\n\tkeywords = {reconstruction},\n\tpages = {357--359},\n}\n\n
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\n \n\n \n \n \n \n \n Relative pollen productivity estimates for vegetation reconstruction in central-eastern Europe inferred at local and regional scales.\n \n \n \n\n\n \n Kuneš, P.; Abraham, V.; Werchan, B.; Plesková, Z.; Fajmon, K.; Jamrichová, E.; and Roleček, J.\n\n\n \n\n\n\n The Holocene, 29(11): 1708–1719. November 2019.\n [IF2018=2.547]\n\n\n\n
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@article{kunes_relative_2019,\n\ttitle = {Relative pollen productivity estimates for vegetation reconstruction in central-eastern {Europe} inferred at local and regional scales},\n\tvolume = {29},\n\tissn = {0959-6836},\n\tdoi = {10.1177/0959683619862026},\n\tabstract = {Understanding pollen-vegetation relationships is crucial for accurate land-cover and climate reconstructions, yet important parameters for quantifying past vegetation abundance are mostly unknown for large parts of Europe harbouring temperate thermophilous ecosystems. We collected pollen and vegetation data in central-eastern Europe, a region covered by patchy cultural landscapes of high biodiversity to estimate relative pollen productivity (RPP) for important pollen-equivalent taxa. Our study area was situated in the south-western part of the White Carpathians (Czechia–Slovakia borderland), where we collected 40 modern moss pollen samples scattered over 250 km2 and mapped vegetation within 100 m around each pollen site. Additional vegetation data were compiled from Forest management plans, Natura 2000 habitat mapping and floristic inventories over the entire area. We calculated RPP (referenced to Poaceae) by testing two approaches: the extended R-value (ERV) model by estimating relevant source area of pollen and the REVEALS-based productivity using regional scale vegetation estimates. Two models were applied to depict pollen dispersal: Lagrangian stochastic and the Gaussian plume (Prentice) models. We estimated RPP for 16 taxa using the ERV model and an additional nine taxa using REVEALS. Both approaches found Plantago lanceolata-type to be a high pollen producer, Quercus medium-to-high, Asteraceae subf. Cichorioideae, Anthemis-type, Ranunculus acris-type and Rubiaceae low-to-medium and Brassicaceae and Senecio-type as low pollen producers. Results for other, mainly tree taxa, significantly differed in both approaches mainly due to largely uneven representation in both local and regional vegetation. In comparison with other studies, our data demonstrate a high variability in the estimated RPPs which could be influenced by climatic conditions or potentially vegetation structure. We suggest that the accuracy of RPP estimates could be enhanced by comparing modern pollen data with large-scale vegetation data in the future.},\n\tlanguage = {English},\n\tnumber = {11},\n\turldate = {2019-09-18},\n\tjournal = {The Holocene},\n\tauthor = {Kuneš, Petr and Abraham, Vojtěch and Werchan, Barbora and Plesková, Zuzana and Fajmon, Karel and Jamrichová, Eva and Roleček, Jan},\n\tmonth = nov,\n\tyear = {2019},\n\tnote = {[IF2018=2.547]},\n\tkeywords = {Czech Republic, ERV model, Gaussian plume model, LRA, Lagrangian stochastic model, REVEALS, modern pollen spectra, reconstruction, vegetation cover},\n\tpages = {1708--1719},\n}\n\n
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\n Understanding pollen-vegetation relationships is crucial for accurate land-cover and climate reconstructions, yet important parameters for quantifying past vegetation abundance are mostly unknown for large parts of Europe harbouring temperate thermophilous ecosystems. We collected pollen and vegetation data in central-eastern Europe, a region covered by patchy cultural landscapes of high biodiversity to estimate relative pollen productivity (RPP) for important pollen-equivalent taxa. Our study area was situated in the south-western part of the White Carpathians (Czechia–Slovakia borderland), where we collected 40 modern moss pollen samples scattered over 250 km2 and mapped vegetation within 100 m around each pollen site. Additional vegetation data were compiled from Forest management plans, Natura 2000 habitat mapping and floristic inventories over the entire area. We calculated RPP (referenced to Poaceae) by testing two approaches: the extended R-value (ERV) model by estimating relevant source area of pollen and the REVEALS-based productivity using regional scale vegetation estimates. Two models were applied to depict pollen dispersal: Lagrangian stochastic and the Gaussian plume (Prentice) models. We estimated RPP for 16 taxa using the ERV model and an additional nine taxa using REVEALS. Both approaches found Plantago lanceolata-type to be a high pollen producer, Quercus medium-to-high, Asteraceae subf. Cichorioideae, Anthemis-type, Ranunculus acris-type and Rubiaceae low-to-medium and Brassicaceae and Senecio-type as low pollen producers. Results for other, mainly tree taxa, significantly differed in both approaches mainly due to largely uneven representation in both local and regional vegetation. In comparison with other studies, our data demonstrate a high variability in the estimated RPPs which could be influenced by climatic conditions or potentially vegetation structure. We suggest that the accuracy of RPP estimates could be enhanced by comparing modern pollen data with large-scale vegetation data in the future.\n
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\n  \n incollection\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n History of Czech vegetation since the Late Pleistocene.\n \n \n \n \n\n\n \n Kuneš, P.; and Abraham, V.\n\n\n \n\n\n\n In Chytrý, M.; Danihelka, J.; Kaplan, Z.; and Pyšek, P., editor(s), Flora and Vegetation of the Czech Republic, of Plant and Vegetation, pages 193–227. Springer, Cham, 1 edition, 2017.\n \n\n\n\n
\n\n\n\n \n \n \"HistoryPaper\n  \n \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 \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@incollection{kunes_history_2017,\n\taddress = {Cham},\n\tedition = {1},\n\tseries = {Plant and {Vegetation}},\n\ttitle = {History of {Czech} vegetation since the {Late} {Pleistocene}},\n\tcopyright = {All rights reserved},\n\tisbn = {978-3-319-63180-6},\n\turl = {https://link.springer.com/chapter/10.1007/978-3-319-63181-3_6},\n\tabstract = {A long-term perspective is a crucial dimension for understanding the present-day composition and structure of the Czech flora and vegetation. We outline processes that were important for the development of the present-day diversity of flora and vegetation including extinctions of taxa and ecological mechanisms operating within glacial-interglacial cycles. Further, we present the history of vegetation during the key stages in the glacial and postglacial periods. First, we outline the pattern in the vegetation during the last glacial, including a discussion of the existence of refugia for trees. We further describe the changes in vegetation during the Late Glacial, which were mostly the results of abrupt climatic events. We also present a new synthesis of the Holocene regional development in vegetation based on a Landscape Reconstruction Algorithm, which results in different regional vegetation trajectories and three main phases in the development of vegetation. Finally, we give some examples of the histories of local vegetation at several sites mainly based on plant macrofossils.},\n\tlanguage = {English},\n\tnumber = {14},\n\tbooktitle = {Flora and {Vegetation} of the {Czech} {Republic}},\n\tpublisher = {Springer},\n\tauthor = {Kuneš, Petr and Abraham, Vojtěch},\n\teditor = {Chytrý, Milan and Danihelka, Jiří and Kaplan, Zdeněk and Pyšek, Petr},\n\tyear = {2017},\n\tkeywords = {Czech Republic, Holocene, Late Glacial, Plant macroremains, glacial, interglacial, pollen analysis, reconstruction, vegetation history},\n\tpages = {193--227},\n}\n\n
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\n A long-term perspective is a crucial dimension for understanding the present-day composition and structure of the Czech flora and vegetation. We outline processes that were important for the development of the present-day diversity of flora and vegetation including extinctions of taxa and ecological mechanisms operating within glacial-interglacial cycles. Further, we present the history of vegetation during the key stages in the glacial and postglacial periods. First, we outline the pattern in the vegetation during the last glacial, including a discussion of the existence of refugia for trees. We further describe the changes in vegetation during the Late Glacial, which were mostly the results of abrupt climatic events. We also present a new synthesis of the Holocene regional development in vegetation based on a Landscape Reconstruction Algorithm, which results in different regional vegetation trajectories and three main phases in the development of vegetation. Finally, we give some examples of the histories of local vegetation at several sites mainly based on plant macrofossils.\n
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