Cargando…
Integrating multiple sources of ecological data to unveil macroscale species abundance
The pattern of species abundance, represented by the number of individuals per species within an ecological community, is one of the fundamental characteristics of biodiversity. However, despite their obvious significance in ecology and biogeography, there is still no clear understanding of these pa...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7125090/ https://www.ncbi.nlm.nih.gov/pubmed/32245942 http://dx.doi.org/10.1038/s41467-020-15407-5 |
_version_ | 1783515874236301312 |
---|---|
author | Fukaya, Keiichi Kusumoto, Buntarou Shiono, Takayuki Fujinuma, Junichi Kubota, Yasuhiro |
author_facet | Fukaya, Keiichi Kusumoto, Buntarou Shiono, Takayuki Fujinuma, Junichi Kubota, Yasuhiro |
author_sort | Fukaya, Keiichi |
collection | PubMed |
description | The pattern of species abundance, represented by the number of individuals per species within an ecological community, is one of the fundamental characteristics of biodiversity. However, despite their obvious significance in ecology and biogeography, there is still no clear understanding of these patterns at large spatial scales. Here, we develop a hierarchical modelling approach to estimate macroscale patterns of species abundance. Using this approach, estimates of absolute abundance of 1248 woody plant species at a 10-km-grid-square resolution over East Asian islands across subtropical to temperate biomes are obtained. We provide two examples of the basic and applied use of the estimated species abundance for (1) inference of macroevolutionary processes underpinning regional biodiversity patterns and (2) quantitative community-wide assessment of a national red list. These results highlight the potential of the elucidation of macroscale species abundance that has thus far been an inaccessible but critical property of biodiversity. |
format | Online Article Text |
id | pubmed-7125090 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-71250902020-04-06 Integrating multiple sources of ecological data to unveil macroscale species abundance Fukaya, Keiichi Kusumoto, Buntarou Shiono, Takayuki Fujinuma, Junichi Kubota, Yasuhiro Nat Commun Article The pattern of species abundance, represented by the number of individuals per species within an ecological community, is one of the fundamental characteristics of biodiversity. However, despite their obvious significance in ecology and biogeography, there is still no clear understanding of these patterns at large spatial scales. Here, we develop a hierarchical modelling approach to estimate macroscale patterns of species abundance. Using this approach, estimates of absolute abundance of 1248 woody plant species at a 10-km-grid-square resolution over East Asian islands across subtropical to temperate biomes are obtained. We provide two examples of the basic and applied use of the estimated species abundance for (1) inference of macroevolutionary processes underpinning regional biodiversity patterns and (2) quantitative community-wide assessment of a national red list. These results highlight the potential of the elucidation of macroscale species abundance that has thus far been an inaccessible but critical property of biodiversity. Nature Publishing Group UK 2020-04-03 /pmc/articles/PMC7125090/ /pubmed/32245942 http://dx.doi.org/10.1038/s41467-020-15407-5 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Fukaya, Keiichi Kusumoto, Buntarou Shiono, Takayuki Fujinuma, Junichi Kubota, Yasuhiro Integrating multiple sources of ecological data to unveil macroscale species abundance |
title | Integrating multiple sources of ecological data to unveil macroscale species abundance |
title_full | Integrating multiple sources of ecological data to unveil macroscale species abundance |
title_fullStr | Integrating multiple sources of ecological data to unveil macroscale species abundance |
title_full_unstemmed | Integrating multiple sources of ecological data to unveil macroscale species abundance |
title_short | Integrating multiple sources of ecological data to unveil macroscale species abundance |
title_sort | integrating multiple sources of ecological data to unveil macroscale species abundance |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7125090/ https://www.ncbi.nlm.nih.gov/pubmed/32245942 http://dx.doi.org/10.1038/s41467-020-15407-5 |
work_keys_str_mv | AT fukayakeiichi integratingmultiplesourcesofecologicaldatatounveilmacroscalespeciesabundance AT kusumotobuntarou integratingmultiplesourcesofecologicaldatatounveilmacroscalespeciesabundance AT shionotakayuki integratingmultiplesourcesofecologicaldatatounveilmacroscalespeciesabundance AT fujinumajunichi integratingmultiplesourcesofecologicaldatatounveilmacroscalespeciesabundance AT kubotayasuhiro integratingmultiplesourcesofecologicaldatatounveilmacroscalespeciesabundance |