Habitat Suitability Shifts of Eucommia ulmoides in Southwest China Under Climate Change Projections

As a Chinese endemic species with dual medicinal-industrial importance, <i>Eucommia ulmoides</i> faces habitat challenges under climate change. Using 21 bioclimatic variables and 704 occurrence records, we modeled current and future (2021-2100) distributions via MaxEnt 3.4.4 and ArcGIS 10.8. The results indicate the following: (1) current optimal habitats cluster in the mid-elevation valleys of Daba-Wuling Mountains (Guizhou-Chongqing core); (2) SSP5-8.5 projections suggest a 19.2% reduction in high-suitability areas by 2081-2100 versus SSP1-2.6; and (3) distribution centroids migrate southward under both scenarios. Our multi-temporal analysis provides actionable intelligence for ex situ conservation and agroforestry planning.

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Publication Details

Journal
Biology
Published
2025-04-21
DOI
https://doi.org/10.3390/biology14040451
Citations
8
Primary Topic
Species Distribution and Climate Change
Type
article
Field-Weighted Citation Impact
14.71

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article

Habitat Suitability Shifts of Eucommia ulmoides in Southwest China Under Climate Change Projections

Shanshan Liang, Longjiang Liu, Qi Liu, Juan Xue et al.
8 citations
Biology
Species Distribution and Climate Change
14.71
article

Habitat Suitability Shifts of Eucommia ulmoides in Southwest China Under Climate Change Projections

Shanshan Liang, Longjiang Liu, Qi Liu, Juan Xue, Peiyao Shi
article en
8 citations

Abstract

As a Chinese endemic species with dual medicinal-industrial importance, <i>Eucommia ulmoides</i> faces habitat challenges under climate change. Using 21 bioclimatic variables and 704 occurrence records, we modeled current and future (2021-2100) distributions via MaxEnt 3.4.4 and ArcGIS 10.8. The results indicate the following: (1) current optimal habitats cluster in the mid-elevation valleys of Daba-Wuling Mountains (Guizhou-Chongqing core); (2) SSP5-8.5 projections suggest a 19.2% reduction in high-suitability areas by 2081-2100 versus SSP1-2.6; and (3) distribution centroids migrate southward under both scenarios. Our multi-temporal analysis provides actionable intelligence for ex situ conservation and agroforestry planning.

BiologyVol. 14(4)
Guiyang College of Traditional Chinese Medicine (CN), Guizhou University (CN)
National Natural Science Foundation of China, Guizhou University
Life in Land
Openalex Percentile: Top 1%
Species Distribution and Climate Change
14.71
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