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Ecology Letters
Article . 2019 . Peer-reviewed
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Ecology Letters
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Ecology Letters
Article . 2019
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Biomass encounter rates limit the size scaling of feeding interactions

Authors: Ruth Kelly; Daniel Barrios-O'Neill; Daniel Barrios-O'Neill; Mark C. Emmerson;

Biomass encounter rates limit the size scaling of feeding interactions

Abstract

AbstractThe rate that consumers encounter resources in space necessarily limits the strength of feeding interactions that shape ecosystems. To explore the link between encounters and feeding, we first compiled the largest available dataset of interactions in the marine benthos by extracting data from published studies and generating new data. These data indicate that the size‐scaling of feeding interactions varies among consumer groups using different strategies (passive or active) to encounter different resource types (mobile or static), with filter feeders exhibiting the weakest feeding interactions. Next, we used these data to develop an agent‐based model of resource biomass encounter rates, underpinned by consumer encounter strategy and resource biomass density. Our model demonstrates that passive strategies for encountering small, dispersed resources limits biomass encounter rates, necessarily limiting the strength of feeding interactions. Our model is based on generalisable assumptions, providing a framework to assess encounter‐based drivers of consumption and coexistence across systems.

Country
United Kingdom
Keywords

consumer-resource interactions, 570, Evolution, marine benthos, 630, /dk/atira/pure/sustainabledevelopmentgoals/life_below_water, Behavior and Systematics, functional response, name=Ecology, name=SDG 14 - Life Below Water, SDG 14 - Life Below Water, Letters, Biomass, consumer–resource interactions, Ecosystem, Ecology, /dk/atira/pure/sustainabledevelopmentgoals/life_below_water; name=SDG 14 - Life Below Water, Feeding Behavior, /dk/atira/pure/subjectarea/asjc/1100/1105; name=Ecology, Evolution, Behavior and Systematics, Agent-based modelling, feeding rates, body size, /dk/atira/pure/subjectarea/asjc/1100/1105

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    9
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Top 10%
Average
Top 10%
Green
hybrid