Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Dai, Xiaosong, Wu, Wei, Ji, Ling, Tian, Shuang, Yang, Bo, Guan, Bicai, Wu, Ding
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Pensoft Publishers 2022
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
_version_ 1784673416163360768
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
work_keys_str_mv AT daixiaosong maxentmodelbasedpredictionofpotentialdistributionsofparnassiawightianacelastraceaeinchina
AT wuwei maxentmodelbasedpredictionofpotentialdistributionsofparnassiawightianacelastraceaeinchina
AT jiling maxentmodelbasedpredictionofpotentialdistributionsofparnassiawightianacelastraceaeinchina
AT tianshuang maxentmodelbasedpredictionofpotentialdistributionsofparnassiawightianacelastraceaeinchina
AT yangbo maxentmodelbasedpredictionofpotentialdistributionsofparnassiawightianacelastraceaeinchina
AT guanbicai maxentmodelbasedpredictionofpotentialdistributionsofparnassiawightianacelastraceaeinchina
AT wuding maxentmodelbasedpredictionofpotentialdistributionsofparnassiawightianacelastraceaeinchina