Imperial College London
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DrJamesRosindell

Faculty of Natural Sciences, Department of Life Sciences (Silwood Park)

Reader in Biodiversity Theory
 
 
 
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Contact

 

+44 (0)20 7594 2242j.rosindell

 
 
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Location

 

W1.5KennedySilwood Park

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Summary

 

Publications

Citation

BibTex format

@article{Luiselli:2021:10.1101/2021.05.11.442553,
author = {Luiselli, J and Overcast, I and Rominger, A and Ruffley, M and Morlon, H and Rosindell, J},
doi = {10.1101/2021.05.11.442553},
title = {Detecting the ecological footprint of selection},
url = {http://dx.doi.org/10.1101/2021.05.11.442553},
year = {2021}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - <jats:title>ABSTRACT</jats:title><jats:p>The structure of communities is influenced by many ecological and evolutionary processes, but the way this manifests in classic biodiversity patterns often remains unclear. Here we aim to distinguish the ecological footprint of selection through competition or environmental filtering, from that of neutral processes that are invariant to species identity. We build on existing Massive Eco-evolutionary Synthesis Simulations (MESS), which uses information from three biodiversity axes – species abundances; genetic diversity; and trait variation – to distinguish between mechanistic processes. In order to correctly detect and characterise competition, we add a new form of competition to MESS that explicitly compares the traits of each pair of individuals, allowing us to distinguish between inter- and intra-specific competition. Our results are qualitatively different to those of previous work that only compares each individual’s trait to the community mean. We find that neutral forces receive much less support from real systems when trait data is available and incorporated into the inference algorithm. We conclude that gathering more different types of data could be the key to unravelling the mechanisms of community assembly.</jats:p>
AU  - Luiselli,J
AU  - Overcast,I
AU  - Rominger,A
AU  - Ruffley,M
AU  - Morlon,H
AU  - Rosindell,J
DO  - 10.1101/2021.05.11.442553
PY  - 2021///
TI  - Detecting the ecological footprint of selection
UR  - http://dx.doi.org/10.1101/2021.05.11.442553
ER  -
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