Stoichiometric distribution models: ecological stoichiometry at the landscape extent

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Stoichiometric distribution models: ecological stoichiometry at the landscape extent

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

Stoichiometric distribution models: ecological stoichiometry at the landscape extent

Popis výsledku anglicky

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

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10618 - Ecology

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Ecology Letters

ISSN

1461-023X

e-ISSN

—

Svazek periodika

20

Číslo periodika v rámci svazku

12

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

12

Strana od-do

1495-1506

Kód UT WoS článku

000414938000001

EID výsledku v databázi Scopus

2-s2.0-85031330904