Dispersal dynamics in food webs

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60077344%3A_____%2F15%3A00440574" target="_blank" >RIV/60077344:_____/15:00440574 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/60076658:12310/15:43888720

Výsledek na webu

<a href="http://dx.doi.org/10.1086/679505" target="_blank" >http://dx.doi.org/10.1086/679505</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1086/679505" target="_blank" >10.1086/679505</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Dispersal dynamics in food webs

Popis výsledku v původním jazyce

Studies of food webs suggest that limited nonrandom dispersal can play an important role in structuring food webs. It is not clear, however, whether density-dependent dispersal fits empirical patterns of food webs better than density-independent dispersal. Here, we study a spatially distributed food web, using a series of population-dispersal models that contrast density-independent and density-dependent dispersal in landscapes where sampled sites are either homogeneously or heterogeneously distributed.These models are fitted to empirical data, allowing us to infer mechanisms that are consistent with the data. Our results show that models with density-dependent dispersal fit the ?, ?, and ? tritrophic richness observed in empirical data best. Our results also show that density-dependent dispersal leads to a critical distance threshold beyond which site similarity (i.e., ? tritrophic richness) starts to decrease much faster. Such a threshold can also be detected in the empirical data.

Název v anglickém jazyce

Dispersal dynamics in food webs

Popis výsledku anglicky

Studies of food webs suggest that limited nonrandom dispersal can play an important role in structuring food webs. It is not clear, however, whether density-dependent dispersal fits empirical patterns of food webs better than density-independent dispersal. Here, we study a spatially distributed food web, using a series of population-dispersal models that contrast density-independent and density-dependent dispersal in landscapes where sampled sites are either homogeneously or heterogeneously distributed.These models are fitted to empirical data, allowing us to infer mechanisms that are consistent with the data. Our results show that models with density-dependent dispersal fit the ?, ?, and ? tritrophic richness observed in empirical data best. Our results also show that density-dependent dispersal leads to a critical distance threshold beyond which site similarity (i.e., ? tritrophic richness) starts to decrease much faster. Such a threshold can also be detected in the empirical data.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

EH - Ekologie – společenstva

OECD FORD obor

—

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název periodika

American Naturalist

ISSN

0003-0147

e-ISSN

—

Svazek periodika

185

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

12

Strana od-do

157-168

Kód UT WoS článku

000348456700003

EID výsledku v databázi Scopus

2-s2.0-84921761265