DOI: 10.1111/ele.12859
Scopus记录号: 2-s2.0-85031330904
论文题名: Stoichiometric distribution models: ecological stoichiometry at the landscape extent
作者: 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.
刊名: Ecology Letters
ISSN: 1461023X
EISSN: 1461-0248
出版年: 2017
卷: 20, 期: 12 起始页码: 1495
结束页码: 1506
语种: 英语
英文关键词: Ecosystem ecology
; food web
; meta-ecosystem
; nutrient cycling
; nutritional ecology
; resource selection
; species distribution models
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
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 Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/107540
Appears in Collections: 气候减缓与适应
There are no files associated with this item.
作者单位: Department of Biology, Memorial University of Newfoundland, St. John's, NL, Canada; Department of Environment and Conservation, Wildlife Division, Government of Newfoundland and Labrador, Corner Brook, NL, Canada; Department of Applied Geoinformatics and Spatial Planning, Faculty of Environmental Sciences, Czech University of Life Sciences, Prague, Czech Republic
Recommended Citation:
Leroux S.J.,Wal E.V.,Wiersma Y.F.,et al. Stoichiometric distribution models: ecological stoichiometry at the landscape extent[J]. Ecology Letters,2017-01-01,20(12)