Stoichiometric distribution models: ecological stoichiometry at the landscape extent

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F17%3A74503" target="_blank" >RIV/60460709:41330/17:74503 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1111/ele.12859" target="_blank" >http://dx.doi.org/10.1111/ele.12859</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1111/ele.12859" target="_blank" >10.1111/ele.12859</a>

Result language
angličtina
Original language name
Stoichiometric distribution models: ecological stoichiometry at the landscape extent
Original language description
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
Czech name
—
Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10618 - Ecology

Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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