气候变化领域集成服务门户(CCPortal): Stoichiometric distribution models: ecological stoichiometry at the landscape extent

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DOI	10.1111/ele.12859
	Stoichiometric distribution models: ecological stoichiometry at the landscape extent
	Leroux S.J.; Wal E.V.; Wiersma Y.F.; Charron L.; Ebel J.D.; Ellis N.M.; Hart C.; Kissler E.; Saunders P.W.; Moudrá L.; Tanner A.L.; Yalcin S.
发表日期	2017
ISSN	1461-023X
EISSN	1461-0248
卷号	20 期号:12
英文摘要	Human activities are altering the fundamental geography of biogeochemicals. Yet we lack an understanding of how the spatial patterns in organismal stoichiometry affect biogeochemical processes and the tools to predict the impacts of global changes on biogeochemical processes. In this contribution we develop stoichiometric distribution models (StDMs), which allow us to map spatial structure in resource elemental composition across a landscape and evaluate spatial responses of consumers. We parameterise StDMs for a consumer-resource (moose-white birch) system and demonstrate that we can develop predictive models of resource stoichiometry across a landscape and that such models could improve our predictions of consumer space use. With results from our study system application, we argue that explicit consideration of the spatial patterns in organismal elemental composition may uncover emergent individual, population, community and ecosystem properties that are not revealed at the local extents routinely used in ecological stoichiometry. We discuss perspectives for further developments and application of StDMs to advance three emerging frameworks for spatial ecosystem ecology in an era of global change; meta-ecosystem theory, macroecological stoichiometry and remotely sensed biogeochemistry. Progress on these emerging frameworks will allow for the integration of ecological stoichiometry and individual space use and fitness. © 2017 John Wiley & Sons Ltd/CNRS
英文关键词	Ecosystem ecology; food web; meta-ecosystem; nutrient cycling; nutritional ecology; resource selection; species distribution models
学科领域	biogeochemistry; ecological modeling; ecosystem dynamics; ecosystem modeling; fitness; food web; global change; human activity; landscape ecology; macroecology; nutrient cycling; nutritional status; resource selection; space use; spatial distribution; stoichiometry; Betula pendula; biological model; ecology; ecosystem; human; Ecology; Ecosystem; Humans; Models, Biological
语种	英语
scopus关键词	biogeochemistry; ecological modeling; ecosystem dynamics; ecosystem modeling; fitness; food web; global change; human activity; landscape ecology; macroecology; nutrient cycling; nutritional status; resource selection; space use; spatial distribution; stoichiometry; Betula pendula; biological model; ecology; ecosystem; human; Ecology; Ecosystem; Humans; Models, Biological
来源期刊	Ecology Letters
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/118300
作者单位	Department of Biology, Memorial University of Newfoundland, St. John's, NL A1B 3X9, Canada; Department of Environment and Conservation, Wildlife Division, Government of Newfoundland and Labrador, Corner Brook, NL A2H 7S1, Canada; Department of Applied Geoinformatics and Spatial Planning, Faculty of Environmental Sciences, Czech University of Life Sciences, Prague, Czech Republic
推荐引用方式 GB/T 7714	Leroux S.J.,Wal E.V.,Wiersma Y.F.,et al. Stoichiometric distribution models: ecological stoichiometry at the landscape extent[J],2017,20(12).
APA	Leroux S.J..,Wal E.V..,Wiersma Y.F..,Charron L..,Ebel J.D..,...&Yalcin S..(2017).Stoichiometric distribution models: ecological stoichiometry at the landscape extent.Ecology Letters,20(12).
MLA	Leroux S.J.,et al."Stoichiometric distribution models: ecological stoichiometry at the landscape extent".Ecology Letters 20.12(2017).