On the use of functional responses to quantify emergent multiple oredator effects

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60077344%3A_____%2F18%3A00494058" target="_blank" >RIV/60077344:_____/18:00494058 - isvavai.cz</a>

Result on the web

<a href="https://www.nature.com/articles/s41598-018-30244-9" target="_blank" >https://www.nature.com/articles/s41598-018-30244-9</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1038/s41598-018-30244-9" target="_blank" >10.1038/s41598-018-30244-9</a>

Result language

angličtina

Original language name

On the use of functional responses to quantify emergent multiple oredator effects

Original language description

Non-independent interactions among predators can have important consequences for the structure and dynamics of ecological communities by enhancing or reducing prey mortality rate through, e.g., predator facilitation or interference. The multiplicative risk model, traditionally used to detect these emergent multiple predator effects (MPEs), is biased because it assumes linear functional response (FR) and no prey depletion. To rectify these biases, two approaches based on FR modelling have recently been proposed: the direct FR approach and the population-dynamic approach. Here we compare the strengths, limitations and predictions of the three approaches using simulated data sets. We found that the predictions of the direct FR and the multiplicative risk models are very similar and underestimate predation rates when prey density is high or prey depletion is substantial. As a consequence, these two approaches often fail in detecting risk reduction. Finally, parameters estimated with the direct FR approach lack mechanistic interpretation, which limits the understanding of the mechanisms driving multiple predator interactions and potential extension of this approach to more complex food webs. We thus strongly recommend using the population-dynamic approach because it is robust, precise, and provides a scalable mechanistic framework to detect and quantify MPEs.

Czech name

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Czech description

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Type

J_imp - 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

Project

<a href="/en/project/GA14-29857S" target="_blank" >GA14-29857S: Impact of predation risk and habitat complexity on the dynamics of macroinvertebrate community assembly in freshwater</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2018

Confidentiality

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

Name of the periodical

Scientific Reports

ISSN

2045-2322

e-ISSN

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Volume of the periodical

8

Issue of the periodical within the volume

AUG 6

Country of publishing house

GB - UNITED KINGDOM

Number of pages

12

Pages from-to

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UT code for WoS article

000440782600002

EID of the result in the Scopus database

2-s2.0-85051255676