气候变化领域集成服务门户(CCPortal): Towards more predictive and interdisciplinary climate change ecosystem experiments

CCPortal

DOI	10.1038/s41558-019-0609-3
	Towards more predictive and interdisciplinary climate change ecosystem experiments
	Rineau F.; Malina R.; Beenaerts N.; Arnauts N.; Bardgett R.D.; Berg M.P.; Boerema A.; Bruckers L.; Clerinx J.; Davin E.L.; De Boeck H.J.; De Dobbelaer T.; Dondini M.; De Laender F.; Ellers J.; Franken O.; Gilbert L.; Gudmundsson L.; Janssens I.A.; Johnson D.; Lizin S.; Longdoz B.; Meire P.; Meremans D.; Milbau A.; Moretti M.; Nijs I.; Nobel A.; Pop I.S.; Puetz T.; Reyns W.; Roy J.; Schuetz J.; Seneviratne S.I.; Smith P.; Solmi F.; Staes J.; Thiery W.; Thijs S.; Vanderkelen I.; Van Landuyt W.; Verbruggen E.; Witters N.; Zscheischler J.; Vangronsveld J.
发表日期	2019
ISSN	1758678X
卷号	9 期号:11
英文摘要	Despite great advances, experiments concerning the response of ecosystems to climate change still face considerable challenges, including the high complexity of climate change in terms of environmental variables, constraints in the number and amplitude of climate treatment levels, and the limited scope of responses and interactions covered. Drawing on the expertise of researchers from a variety of disciplines, this Perspective outlines how computational and technological advances can help in designing experiments that can contribute to overcoming these challenges, and also outlines a first application of such an experimental design. © 2019, Springer Nature Limited.
语种	英语
scopus关键词	amplitude; climate change; complexity; experimental study; interdisciplinary approach; prediction
来源期刊	Nature Climate Change
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/124306
作者单位	Environmental Biology, Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium; Environmental Economics, Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium; Department of Earth and Environmental Sciences, University of Manchester, Manchester, United Kingdom; Department of Ecological Science, Vrije Universiteit Amsterdam, Amsterdam, Netherlands; Groningen Institute for Evolutionary Life Science, Community and Conservation Ecology Group, Groningen University, Groningen, Netherlands; Ecosystem Management Research Group (ECOBE), University of Antwerp, Antwerp, Belgium; Data Science Institute, Hasselt University, Diepenbeek, Belgium; Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland; Plants and Ecosystems (PLECO), University of Antwerp, Wilrijk, Belgium; Research Institute for Nature and Forest (INBO), Brussels, Belgium; Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, United Kingdom; Namur Institute of...
推荐引用方式 GB/T 7714	Rineau F.,Malina R.,Beenaerts N.,et al. Towards more predictive and interdisciplinary climate change ecosystem experiments[J],2019,9(11).
APA	Rineau F..,Malina R..,Beenaerts N..,Arnauts N..,Bardgett R.D..,...&Vangronsveld J..(2019).Towards more predictive and interdisciplinary climate change ecosystem experiments.Nature Climate Change,9(11).
MLA	Rineau F.,et al."Towards more predictive and interdisciplinary climate change ecosystem experiments".Nature Climate Change 9.11(2019).