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An integrated high‐resolution mapping shows congruent biodiversity patterns of Fagales and Pinales
The documentation of biodiversity distribution through species range identification is crucial for macroecology, biogeography, conservation, and restoration. However, for plants, species range maps remain scarce and often inaccurate. We present a novel approach to map species ranges at a global scal...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9323436/ https://www.ncbi.nlm.nih.gov/pubmed/35429166 http://dx.doi.org/10.1111/nph.18158 |
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author | Lyu, Lisha Leugger, Flurin Hagen, Oskar Fopp, Fabian Boschman, Lydian M. Strijk, Joeri Sergej Albouy, Camille Karger, Dirk N. Brun, Philipp Wang, Zhiheng Zimmermann, Niklaus E. Pellissier, Loïc |
author_facet | Lyu, Lisha Leugger, Flurin Hagen, Oskar Fopp, Fabian Boschman, Lydian M. Strijk, Joeri Sergej Albouy, Camille Karger, Dirk N. Brun, Philipp Wang, Zhiheng Zimmermann, Niklaus E. Pellissier, Loïc |
author_sort | Lyu, Lisha |
collection | PubMed |
description | The documentation of biodiversity distribution through species range identification is crucial for macroecology, biogeography, conservation, and restoration. However, for plants, species range maps remain scarce and often inaccurate. We present a novel approach to map species ranges at a global scale, integrating polygon mapping and species distribution modelling (SDM). We develop a polygon mapping algorithm by considering distances and nestedness of occurrences. We further apply an SDM approach considering multiple modelling algorithms, complexity levels, and pseudo‐absence selections to map the species at a high spatial resolution and intersect it with the generated polygons. We use this approach to construct range maps for all 1957 species of Fagales and Pinales with data compilated from multiple sources. We construct high‐resolution global species richness maps of these important plant clades, and document diversity hotspots for both clades in southern and south‐western China, Central America, and Borneo. We validate the approach with two representative genera, Quercus and Pinus, using previously published coarser range maps, and find good agreement. By efficiently producing high‐resolution range maps, our mapping approach offers a new tool in the field of macroecology for studying global species distribution patterns and supporting ongoing conservation efforts. |
format | Online Article Text |
id | pubmed-9323436 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93234362022-07-30 An integrated high‐resolution mapping shows congruent biodiversity patterns of Fagales and Pinales Lyu, Lisha Leugger, Flurin Hagen, Oskar Fopp, Fabian Boschman, Lydian M. Strijk, Joeri Sergej Albouy, Camille Karger, Dirk N. Brun, Philipp Wang, Zhiheng Zimmermann, Niklaus E. Pellissier, Loïc New Phytol Research The documentation of biodiversity distribution through species range identification is crucial for macroecology, biogeography, conservation, and restoration. However, for plants, species range maps remain scarce and often inaccurate. We present a novel approach to map species ranges at a global scale, integrating polygon mapping and species distribution modelling (SDM). We develop a polygon mapping algorithm by considering distances and nestedness of occurrences. We further apply an SDM approach considering multiple modelling algorithms, complexity levels, and pseudo‐absence selections to map the species at a high spatial resolution and intersect it with the generated polygons. We use this approach to construct range maps for all 1957 species of Fagales and Pinales with data compilated from multiple sources. We construct high‐resolution global species richness maps of these important plant clades, and document diversity hotspots for both clades in southern and south‐western China, Central America, and Borneo. We validate the approach with two representative genera, Quercus and Pinus, using previously published coarser range maps, and find good agreement. By efficiently producing high‐resolution range maps, our mapping approach offers a new tool in the field of macroecology for studying global species distribution patterns and supporting ongoing conservation efforts. John Wiley and Sons Inc. 2022-05-05 2022-07 /pmc/articles/PMC9323436/ /pubmed/35429166 http://dx.doi.org/10.1111/nph.18158 Text en © 2022 The Authors. New Phytologist © 2022 New Phytologist Foundation https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Research Lyu, Lisha Leugger, Flurin Hagen, Oskar Fopp, Fabian Boschman, Lydian M. Strijk, Joeri Sergej Albouy, Camille Karger, Dirk N. Brun, Philipp Wang, Zhiheng Zimmermann, Niklaus E. Pellissier, Loïc An integrated high‐resolution mapping shows congruent biodiversity patterns of Fagales and Pinales |
title | An integrated high‐resolution mapping shows congruent biodiversity patterns of Fagales and Pinales |
title_full | An integrated high‐resolution mapping shows congruent biodiversity patterns of Fagales and Pinales |
title_fullStr | An integrated high‐resolution mapping shows congruent biodiversity patterns of Fagales and Pinales |
title_full_unstemmed | An integrated high‐resolution mapping shows congruent biodiversity patterns of Fagales and Pinales |
title_short | An integrated high‐resolution mapping shows congruent biodiversity patterns of Fagales and Pinales |
title_sort | integrated high‐resolution mapping shows congruent biodiversity patterns of fagales and pinales |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9323436/ https://www.ncbi.nlm.nih.gov/pubmed/35429166 http://dx.doi.org/10.1111/nph.18158 |
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