气候变化领域集成服务门户(CCPortal): Improving the forecast for biodiversity under climate change

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DOI	10.1126/science.aad8466
	Improving the forecast for biodiversity under climate change
	Urban M.C.; Bocedi G.; Hendry A.P.; Mihoub J.-B.; Pe'er G.; Singer A.; Bridle J.R.; Crozier L.G.; De Meester L.; Godsoe W.; Gonzalez A.; Hellmann J.J.; Holt R.D.; Huth A.; Johst K.; Krug C.B.; Leadley P.W.; Palmer S.C.F.; Pantel J.H.; Schmitz A.; Zollner P.A.; Travis J.M.J.
发表日期	2016
ISSN	0036-8075
卷号	353 期号:6304
英文摘要	New biological models are incorporating the realistic processes underlying biological responses to climate change and other human-caused disturbances. However, these more realistic models require detailed information, which is lacking for most species on Earth. Current monitoring efforts mainly document changes in biodiversity, rather than collecting the mechanistic data needed to predict future changes. We describe and prioritize the biological information needed to inform more realistic projections of species' responses to climate change. We also highlight how trait-based approaches and adaptive modeling can leverage sparse data to make broader predictions. We outline a global effort to collect the data necessary to better understand, anticipate, and reduce the damaging effects of climate change on biodiversity. Copyright © 2016 by the American Association for the Advancement of Science; all rights reserved.
英文关键词	adaptive management; biodiversity; climate change; community response; environmental monitoring; forecasting method; global perspective; information management; biodiversity; biological model; breeding; climate change; demography; forecasting; genetic variation; global climate; global positioning system; life history; local adaptation; nonhuman; phenology; phenotypic variation; physiology; prediction; priority journal; Review; species distribution; adaptation; animal; astronomy; dengue; environmental protection; evolution; mosquito; population dynamics; spatiotemporal analysis; transmission; virology; Adaptation, Physiological; Animals; Biodiversity; Biological Evolution; Climate Change; Conservation of Natural Resources; Culicidae; Dengue; Earth (Planet); Models, Biological; Models, Genetic; Population Dynamics; Spatio-Temporal Analysis
语种	英语
来源期刊	Science
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/245807
作者单位	Institute of Biological Risk, Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT, United States; Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, United Kingdom; Redpath Museum, Department of Biology, McGill University, Montreal, QC, Canada; Sorbonne Universités, UPMC Université Paris 06, Muséum National d'Histoire Naturelle, CNRS, CESCO, UMR 7204, Paris, France; Conservation Biology, UFZ-Helmholtz Centre for Environmental Research, Leipzig, Germany; German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany; Ecological Modelling, UFZ-Helmholtz Centre for Environmental Research, Leipzig, Germany; Swedish University of Agricultural Sciences, Swedish Species Information Centre, Uppsala, Sweden; School of Biological Sciences, University of Bristol, Bristol, United Kingdom; NOAA, Fisheries Northwest Fisheries Science Center, Seattle, WA, United States; Laboratory of Aquatic Ecology, Evolution and Conservation, KU Le...
推荐引用方式 GB/T 7714	Urban M.C.,Bocedi G.,Hendry A.P.,et al. Improving the forecast for biodiversity under climate change[J],2016,353(6304).
APA	Urban M.C..,Bocedi G..,Hendry A.P..,Mihoub J.-B..,Pe'er G..,...&Travis J.M.J..(2016).Improving the forecast for biodiversity under climate change.Science,353(6304).
MLA	Urban M.C.,et al."Improving the forecast for biodiversity under climate change".Science 353.6304(2016).