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Stoichiometric distribution models: ecological stoichiometry at the landscape extent
Author(s) -
Leroux Shawn J.,
Wal Eric Vander,
Wiersma Yolanda F.,
Charron Louis,
Ebel Jonathan D.,
Ellis Nichola M.,
Hart Christopher,
Kissler Emilie,
Saunders Paul W.,
Moudrá Lucie,
Tanner Amy L.,
Yalcin Semra
Publication year - 2017
Publication title -
ecology letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.852
H-Index - 265
eISSN - 1461-0248
pISSN - 1461-023X
DOI - 10.1111/ele.12859
Subject(s) - ecological stoichiometry , biogeochemical cycle , ecosystem , ecology , spatial ecology , biogeochemistry , landscape ecology , resource (disambiguation) , spatial distribution , environmental resource management , environmental science , geography , habitat , biology , computer science , remote sensing , computer network
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 (St DM s), which allow us to map spatial structure in resource elemental composition across a landscape and evaluate spatial responses of consumers. We parameterise St DM s 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 St DM s 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.