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MaxEnt model-based prediction of potential distributions of Parnassiawightiana (Celastraceae) in China
The maximum entropy (MaxEnt) model for predicting the potential suitable habitat of species has been commonly employed in many ecological and biological applications by using presence-only occurrence records along with associated environmental factors. Parnassiawightiana, a perennial herb, is a cold...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Pensoft Publishers
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8942960/ https://www.ncbi.nlm.nih.gov/pubmed/35437408 http://dx.doi.org/10.3897/BDJ.10.e81073 |
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author | Dai, Xiaosong Wu, Wei Ji, Ling Tian, Shuang Yang, Bo Guan, Bicai Wu, Ding |
author_facet | Dai, Xiaosong Wu, Wei Ji, Ling Tian, Shuang Yang, Bo Guan, Bicai Wu, Ding |
author_sort | Dai, Xiaosong |
collection | PubMed |
description | The maximum entropy (MaxEnt) model for predicting the potential suitable habitat of species has been commonly employed in many ecological and biological applications by using presence-only occurrence records along with associated environmental factors. Parnassiawightiana, a perennial herb, is a cold-adapted plant distributed across three diversity hotspots in China, including the Hengduan Range, Central China and the Lingnan region. The MaxEnt model was used to simulate the historic, current and future distribution trends of P.wightiana, as well as to analyse its distribution pattern in each historical period and explore the causes of species distribution changes. The results of our analysis indicated that annual precipitation, annual temperature range and mean temperature of the warmest quarter were the key bioclimatic variables affecting the distribution of P.wightiana. Most temperate species retracted into smaller refugial areas during glacial periods and experienced range expansion during interglacial periods. Possible refugia of the species were inferred to be located in the Hengduan Range and Qinling Regions. |
format | Online Article Text |
id | pubmed-8942960 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Pensoft Publishers |
record_format | MEDLINE/PubMed |
spelling | pubmed-89429602022-04-17 MaxEnt model-based prediction of potential distributions of Parnassiawightiana (Celastraceae) in China Dai, Xiaosong Wu, Wei Ji, Ling Tian, Shuang Yang, Bo Guan, Bicai Wu, Ding Biodivers Data J Research Article The maximum entropy (MaxEnt) model for predicting the potential suitable habitat of species has been commonly employed in many ecological and biological applications by using presence-only occurrence records along with associated environmental factors. Parnassiawightiana, a perennial herb, is a cold-adapted plant distributed across three diversity hotspots in China, including the Hengduan Range, Central China and the Lingnan region. The MaxEnt model was used to simulate the historic, current and future distribution trends of P.wightiana, as well as to analyse its distribution pattern in each historical period and explore the causes of species distribution changes. The results of our analysis indicated that annual precipitation, annual temperature range and mean temperature of the warmest quarter were the key bioclimatic variables affecting the distribution of P.wightiana. Most temperate species retracted into smaller refugial areas during glacial periods and experienced range expansion during interglacial periods. Possible refugia of the species were inferred to be located in the Hengduan Range and Qinling Regions. Pensoft Publishers 2022-03-16 /pmc/articles/PMC8942960/ /pubmed/35437408 http://dx.doi.org/10.3897/BDJ.10.e81073 Text en Xiaosong Dai, Wei Wu, Ling Ji, Shuang Tian, Bo Yang, Bicai Guan, Ding Wu https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Dai, Xiaosong Wu, Wei Ji, Ling Tian, Shuang Yang, Bo Guan, Bicai Wu, Ding MaxEnt model-based prediction of potential distributions of Parnassiawightiana (Celastraceae) in China |
title | MaxEnt model-based prediction of potential distributions of Parnassiawightiana (Celastraceae) in China |
title_full | MaxEnt model-based prediction of potential distributions of Parnassiawightiana (Celastraceae) in China |
title_fullStr | MaxEnt model-based prediction of potential distributions of Parnassiawightiana (Celastraceae) in China |
title_full_unstemmed | MaxEnt model-based prediction of potential distributions of Parnassiawightiana (Celastraceae) in China |
title_short | MaxEnt model-based prediction of potential distributions of Parnassiawightiana (Celastraceae) in China |
title_sort | maxent model-based prediction of potential distributions of parnassiawightiana (celastraceae) in china |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8942960/ https://www.ncbi.nlm.nih.gov/pubmed/35437408 http://dx.doi.org/10.3897/BDJ.10.e81073 |
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