Potential impact of climate change and reindeer density on tundra indicator species in the Barents Sea region

被引:0
作者
Christoph Zöckler
Lera Miles
Lucy Fish
Annett Wolf
Gareth Rees
Fiona Danks
机构
[1] UNEP-World Conservation Monitoring Centre,
[2] University of Zurich,undefined
[3] University of Cambridge,undefined
[4] Scott Polar Research Institute,undefined
来源
Climatic Change | 2008年 / 87卷
关键词
Vegetation Model; Open Land; Barents Region; Near Threaten; Reindeer Density;
D O I
暂无
中图分类号
学科分类号
摘要
Climate change is expected to alter the distribution of habitats and thus the distribution of species connected with these habitats in the terrestrial Barents Sea region. It was hypothesised that wild species connected with the tundra and open-land biome may be particularly at risk as forest area expands. Fourteen species of birds were identified as useful indicators for the biodiversity dependent upon this biome. By bringing together species distribution information with the LPJ-GUESS vegetation model, and with estimates of future wild and domestic reindeer density, potential impacts on these species between the present time and 2080 were assessed. Over this period there was a net loss of open land within the current breeding range of most bird species. Grazing reindeer were modelled as increasing the amount of open land retained for nine of the tundra bird species.
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页码:119 / 130
页数:11
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[1]  
Akçakaya RH(2006)Use and misuse of the IUCN Red List Criteria in projecting climate change impacts on biodiversity Glob Chang Biol 12 2037-2043
[2]  
Butchart SHM(2006)How does climate change affect biodiversity? Science 313 1396-1397
[3]  
Mace GM(1999)Long-term responses of boreal vegetation to global change: an experimental and modelling investigation Glob Chang Biol 5 55-74
[4]  
Stuart SN(1998)Plant–insect herbivore interactions in elevated atmospheric CO2: quantitative analyses and guild effects Oikos 82 212-222
[5]  
Hilton-Taylor G(1994)A large-scale metapopulation model of interspecific competition and environmental change Ecol Model 72 251-273
[6]  
Araújo MB(2004)Thawing sub-arctic permafrost: effects on vegetation and methane emissions Geophys Res Lett 31 L04501-712
[7]  
Rahbek C(1999)Effects of elevated atmospheric carbon dioxide on insect–plant interactions Conserv Biol 13 700-786
[8]  
Beerling DJ(1998)Making mistakes when predicting shifts in species range in response to global warming Nature 391 783-486
[9]  
Bezemer TM(2004)Research and societal benefits of the global biodiversity information facility BioScience 54 485-151
[10]  
Jones TH(2006)Novel methods improve prediction of species distributions from occurrence data Ecography 29 129-785