globalchange  > 全球变化的国际研究计划
DOI: 10.1016/j.tree.2014.05.007
论文题名:
Better forecasts of range dynamics using genetic data
作者: Fordham D.A.; Brook B.W.; Moritz C.; Nogués-Bravo D.
刊名: Trends in Ecology and Evolution
ISSN: 1695347
出版年: 2014
卷: 29, 期:8
起始页码: 436
结束页码: 443
语种: 英语
英文关键词: Ancient DNA ; Climate change ; Extinction ; Metapopulation ; Phylogeography ; Quaternary ; Species distribution model ; Validation
Scopus关键词: adaptive management ; biodiversity ; DNA ; environmental change ; global change ; metapopulation ; phylogeography ; population dynamics ; Quaternary ; species conservation ; biodiversity ; biological model ; climate change ; ecosystem ; genetic database ; phylogeography ; Biodiversity ; Climate Change ; Databases, Genetic ; Ecosystem ; Models, Biological ; Phylogeography
英文摘要: The spatiotemporal response of species to past global change must be understood for adaptive management and to make useful predictions. Characteristics of past population dynamics are imprinted in genes, yet these molecular 'log books' are just beginning to be used to improve forecasts of biotic responses to climate change. This is despite there now being robust quantitative frameworks to incorporate such information. A tighter integration of genetic data into models of species range dynamics should lead to more robust and validated predictions of the response of demographic and evolutionary processes to large-scale environmental change. The use of these multidisciplinary methods will help conservation scientists to better connect theory to the on-ground design and implementation of effective measures to protect biodiversity. © 2014 Elsevier Ltd.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/67311
Appears in Collections:全球变化的国际研究计划
气候变化与战略

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作者单位: The Environment Institute, School of Earth and Environmental Sciences, The University of Adelaide, SA 5005, Australia; Research School of Biology, The Australian National University, Australian Capital Territory 0200, Canberra, Australia; Center for Macroecology, Evolution, and Climate, Natural History Museum of Denmark, University of Copenhagen, Universitetsparken 15, DK-2100 Copenhagen Ø, Denmark

Recommended Citation:
Fordham D.A.,Brook B.W.,Moritz C.,et al. Better forecasts of range dynamics using genetic data[J]. Trends in Ecology and Evolution,2014-01-01,29(8)
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