Imperial College London
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ProfessorJamesRosindell

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

Professor of 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{Thompson:2020:10.1111/2041-210x.13451,
author = {Thompson, SED and Chisholm, RA and Rosindell, J},
doi = {10.1111/2041-210x.13451},
journal = {Methods in Ecology and Evolution},
pages = {1237--1246},
title = {pycoalescence and rcoalescence : packages for simulating spatially explicit neutral models of biodiversity},
url = {http://dx.doi.org/10.1111/2041-210x.13451},
volume = {11},
year = {2020}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Neutral theory proposes that some macroscopic biodiversity patterns can be explained in terms of drift, speciation and immigration, without invoking niches. There are many different varieties of neutral model, all assuming that the fitness of an individual is unrelated to its species identity. Variants that are spatially explicit provide a means for making quantitative predictions about spatial biodiversity patterns.We present software packages that make spatially explicit neutral simulations straightforward and efficient. The packages allow the user to customize both dispersal and landscape structure in a wide variety of ways. We provide a Python package pycoalescence and a functionally equivalent R package rcoalescence. In both packages, the core routines are written in C++ and make use of coalescence methods to optimize performance.We explain the technical details of the packages and give examples for their application, with a particular focus on two scenarios of ecological and evolutionary interest: a landscape with habitat fragmentation, and an archipelago of islands.Spatially explicit neutral models represent an important tool in ecology for understanding the processes of biodiversity generation and predicting outcomes at large scales. The effort required to implement these complex spatially explicit simulations efficiently has thus far been a barrier to entry. Our packages increase the accessibility of these models and encourage further investigation of the primary mechanisms underpinning biodiversity.
AU  - Thompson,SED
AU  - Chisholm,RA
AU  - Rosindell,J
DO  - 10.1111/2041-210x.13451
EP  - 1246
PY  - 2020///
SN  - 2041-210X
SP  - 1237
TI  - pycoalescence and rcoalescence : packages for simulating spatially explicit neutral models of biodiversity
T2  - Methods in Ecology and Evolution
UR  - http://dx.doi.org/10.1111/2041-210x.13451
UR  - https://besjournals.onlinelibrary.wiley.com/doi/abs/10.1111/2041-210X.13451
UR  - http://hdl.handle.net/10044/1/80833
VL  - 11
ER  -
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