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Infomap Bioregions: Interactive Mapping of Biogeographical Regions from Species Distributions
Biogeographical regions (bioregions) reveal how different sets of species are spatially grouped and therefore are important units for conservation, historical biogeography, ecology, and evolution. Several methods have been developed to identify bioregions based on species distribution data rather th...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5410963/ https://www.ncbi.nlm.nih.gov/pubmed/27694311 http://dx.doi.org/10.1093/sysbio/syw087 |
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author | Edler, Daniel Guedes, Thaís Zizka, Alexander Rosvall, Martin Antonelli, Alexandre |
author_facet | Edler, Daniel Guedes, Thaís Zizka, Alexander Rosvall, Martin Antonelli, Alexandre |
author_sort | Edler, Daniel |
collection | PubMed |
description | Biogeographical regions (bioregions) reveal how different sets of species are spatially grouped and therefore are important units for conservation, historical biogeography, ecology, and evolution. Several methods have been developed to identify bioregions based on species distribution data rather than expert opinion. One approach successfully applies network theory to simplify and highlight the underlying structure in species distributions. However, this method lacks tools for simple and efficient analysis. Here, we present Infomap Bioregions, an interactive web application that inputs species distribution data and generates bioregion maps. Species distributions may be provided as georeferenced point occurrences or range maps, and can be of local, regional, or global scale. The application uses a novel adaptive resolution method to make best use of often incomplete species distribution data. The results can be downloaded as vector graphics, shapefiles, or in table format. We validate the tool by processing large data sets of publicly available species distribution data of the world’s amphibians using species ranges, and mammals using point occurrences. We then calculate the fit between the inferred bioregions and WWF ecoregions. As examples of applications, researchers can reconstruct ancestral ranges in historical biogeography or identify indicator species for targeted conservation. |
format | Online Article Text |
id | pubmed-5410963 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-54109632018-02-05 Infomap Bioregions: Interactive Mapping of Biogeographical Regions from Species Distributions Edler, Daniel Guedes, Thaís Zizka, Alexander Rosvall, Martin Antonelli, Alexandre Syst Biol Software for Systematics and Evolution Biogeographical regions (bioregions) reveal how different sets of species are spatially grouped and therefore are important units for conservation, historical biogeography, ecology, and evolution. Several methods have been developed to identify bioregions based on species distribution data rather than expert opinion. One approach successfully applies network theory to simplify and highlight the underlying structure in species distributions. However, this method lacks tools for simple and efficient analysis. Here, we present Infomap Bioregions, an interactive web application that inputs species distribution data and generates bioregion maps. Species distributions may be provided as georeferenced point occurrences or range maps, and can be of local, regional, or global scale. The application uses a novel adaptive resolution method to make best use of often incomplete species distribution data. The results can be downloaded as vector graphics, shapefiles, or in table format. We validate the tool by processing large data sets of publicly available species distribution data of the world’s amphibians using species ranges, and mammals using point occurrences. We then calculate the fit between the inferred bioregions and WWF ecoregions. As examples of applications, researchers can reconstruct ancestral ranges in historical biogeography or identify indicator species for targeted conservation. Oxford University Press 2017-03 2016-10-01 /pmc/articles/PMC5410963/ /pubmed/27694311 http://dx.doi.org/10.1093/sysbio/syw087 Text en © The Author(s) 2016. Published by Oxford University Press, on behalf of the Society of Systematic Biologists. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Software for Systematics and Evolution Edler, Daniel Guedes, Thaís Zizka, Alexander Rosvall, Martin Antonelli, Alexandre Infomap Bioregions: Interactive Mapping of Biogeographical Regions from Species Distributions |
title | Infomap Bioregions: Interactive Mapping of Biogeographical Regions from Species Distributions |
title_full | Infomap Bioregions: Interactive Mapping of Biogeographical Regions from Species Distributions |
title_fullStr | Infomap Bioregions: Interactive Mapping of Biogeographical Regions from Species Distributions |
title_full_unstemmed | Infomap Bioregions: Interactive Mapping of Biogeographical Regions from Species Distributions |
title_short | Infomap Bioregions: Interactive Mapping of Biogeographical Regions from Species Distributions |
title_sort | infomap bioregions: interactive mapping of biogeographical regions from species distributions |
topic | Software for Systematics and Evolution |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5410963/ https://www.ncbi.nlm.nih.gov/pubmed/27694311 http://dx.doi.org/10.1093/sysbio/syw087 |
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