Predicting habitat suitability for an endangered medicinal plant, Saussurea medusa: insights from ensemble species distribution models

The results show that the suitable habitats, under near current condition, are mainly distributed in the Qinghai-Xizang Plateau of China, covering the border regions of four provinces: Xizang, Qinghai, Sichuan, and Yunnan, with a total area of 14.06×10<sup>4</sup> km<sup>2</sup>. Under future climate change scenarios, the area of suitable habitats, particularly the highly suitable habitats, is projected to contract significantly by 80.65%, accompanied by shifts in distribution centroids towards the southwest and higher altitudes in Xizang. These results indicate that the risk of <i>S. medusa</i> survival due to the loss of suitable habitats would persist in the future. Among the environmental factors analyzed, elevation and three bioclimatic predictors, BIO18 (precipitation of the warmest quarter), BIO12 (annual precipitation) and BIO4 (temperature seasonality), exhibit significant impacts on the potential distribution of suitable habitats for <i>S. medusa</i>. Our study provides an improved understanding of the potential habitat distribution dynamics of the endangered <i>S. medusa</i>, thereby offering a crucial reference for its conservation and sustainable management.

Authors

Institutions

Publication Details

Journal
Frontiers in Plant Science
Published
2025-06-24
DOI
https://doi.org/10.3389/fpls.2025.1590206
Citations
3
Primary Topic
Species Distribution and Climate Change
Type
article
Field-Weighted Citation Impact
5.51

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Predicting habitat suitability for an endangered medicinal plant, Saussurea medusa: insights from ensemble species distribution models

Shenglan Hao, Xiang Guo, Wei Bai, Liping Zhao et al.
3 citations
Frontiers in Plant Science
Species Distribution and Climate Change
5.51
article

Predicting habitat suitability for an endangered medicinal plant, Saussurea medusa: insights from ensemble species distribution models

Shenglan Hao, Xiang Guo, Wei Bai, Liping Zhao, Yihua Wang, Xin Li, Zhen Guo
article en
3 citations

Abstract

The results show that the suitable habitats, under near current condition, are mainly distributed in the Qinghai-Xizang Plateau of China, covering the border regions of four provinces: Xizang, Qinghai, Sichuan, and Yunnan, with a total area of 14.06×10<sup>4</sup> km<sup>2</sup>. Under future climate change scenarios, the area of suitable habitats, particularly the highly suitable habitats, is projected to contract significantly by 80.65%, accompanied by shifts in distribution centroids towards the southwest and higher altitudes in Xizang. These results indicate that the risk of <i>S. medusa</i> survival due to the loss of suitable habitats would persist in the future. Among the environmental factors analyzed, elevation and three bioclimatic predictors, BIO18 (precipitation of the warmest quarter), BIO12 (annual precipitation) and BIO4 (temperature seasonality), exhibit significant impacts on the potential distribution of suitable habitats for <i>S. medusa</i>. Our study provides an improved understanding of the potential habitat distribution dynamics of the endangered <i>S. medusa</i>, thereby offering a crucial reference for its conservation and sustainable management.

Frontiers in Plant ScienceVol. 16
Guiyang Medical University (CN), Shanxi Medical University (CN), Shanxi Provincial Cancer Hospital (CN), Shanxi Province Hospital of Traditional Chinese Medicine (CN), Taiyuan Central Hospital (CN), Shanxi Academy of Medical Sciences (CN), Shanxi Provincial People’s Hospital (CN)
Zhoukou Normal University
Life in Land
Openalex Percentile: Top 5%
Species Distribution and Climate Change
5.51
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.