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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

An integrated model of population genetics and community ecology

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Author(s):
Overcast, Isaac [1, 2] ; Emerson, Brent C. [3] ; Hickerson, Michael J. [4, 1, 2]
Total Authors: 3
Affiliation:
[1] CUNY City Coll, Grad Ctr, New York, NY 10031 - USA
[2] CUNY City Coll, Dept Biol, 138Th St & Convent Ave, New York, NY 10031 - USA
[3] IPNA CSIC, Isl Ecol & Evolut Res Grp, Tenerife - Spain
[4] Amer Museum Nat Hist, Div Invertebrate Zool, New York, NY 10024 - USA
Total Affiliations: 4
Document type: Journal article
Source: Journal of Biogeography; v. 46, n. 4, p. 816-829, APR 2019.
Web of Science Citations: 0
Abstract

Aim Quantifying abundance distributions is critical for understanding both how communities assemble, and how community structure varies through time and space, yet estimating abundances requires considerable investment in fieldwork. Community-level population genetic data potentially offer a powerful way to indirectly infer richness, abundance and the history of accumulation of biodiversity within a community. Here we introduce a joint model linking neutral community assembly and comparative phylogeography to generate both community-level richness, abundance and genetic variation under a neutral model, capturing both equilibrium and non-equilibrium dynamics. Location Global. Methods Our model combines a forward-time individual-based community assembly process with a rescaled backward-time neutral coalescent model of multi-taxa population genetics. We explore general dynamics of genetic and abundance-based summary statistics and use approximate Bayesian computation (ABC) to estimate parameters underlying the model of island community assembly. Finally, we demonstrate two applications of the model using community-scale mtDNA sequence data and densely sampled abundances of an arachnid community on La Reunion. First, we use genetic data alone to estimate a summary of the abundance distribution, ground-truthing this against the observed abundances. Then, we jointly use the observed genetic data and abundances to estimate the proximity of the community to equilibrium. Results Simulation experiments of our ABC procedure demonstrate that coupling abundance with genetic data leads to improved accuracy and precision of model parameter estimates compared with using abundance-only data. We further demonstrate reasonable precision and accuracy in estimating a metric underlying the shape of the abundance distribution, temporal progress towards local equilibrium and several key parameters of the community assembly process. For the insular arachnid assemblage, we find the joint distribution of genetic diversity and abundance approaches equilibrium expectations, and that the Shannon entropy of the observed abundances can be estimated using genetic data alone. Main conclusions The framework that we present unifies neutral community assembly and comparative phylogeography to characterize the community-level distribution of both abundance and genetic variation through time, providing a resource that should greatly enhance understanding of both the processes structuring ecological communities and the associated aggregate demographic histories. (AU)

FAPESP's process: 13/50297-0 - Dimensions US-BIOTA São Paulo: a multidisciplinary framework for biodiversity prediction in the Brazilian Atlantic forest hotspot
Grantee:Cristina Yumi Miyaki
Support type: BIOTA-FAPESP Program - Thematic Grants