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Trends in Ecology & Evolution
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Trends in Ecology & Evolution
Article . 2018 . Peer-reviewed
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Towards the Integration of Niche and Network Theories

Authors: Oscar Godoy; Ignasi; Rudolf Rohr; Serguei Saavedra;

Towards the Integration of Niche and Network Theories

Abstract

The quest for understanding how species interactions modulate diversity has progressed by theoretical and empirical advances following niche and network theories. Yet, niche studies have been limited to describe coexistence within tropic levels despite incorporating information about multi-trophic interactions. Network approaches could address this limitation, but they have ignored the structure of species interactions within trophic levels. Here we call for the integration of niche and network theories to reach new frontiers of knowledge exploring how interactions within and across trophic levels promote species coexistence. This integration is possible due to the strong parallelisms in the historical development, ecological concepts, and associated mathematical tools of both theories. We provide a guideline to integrate this framework with observational and experimental studies.

Country
Switzerland
Keywords

species interactions, multi-trophic networks, info:eu-repo/classification/udc/57, Feasibility, Biodiversity, stability, Models, Biological, Multi-trophic networks, Species interactions, Stability, Coexistence, Ecosystem, feasibility

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selected citations
These citations are derived from selected sources.
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!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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130
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Top 10%
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70
153
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