Predicting suitable habitats and conservation areas for Suaeda salsa using MaxEnt and Marxan models

<i>Suaeda salsa</i> (L.) Pall. (<i>S. salsa</i>) is a salt-tolerant plant with medicinal and ecological value. Understanding its potential distribution under changing climate conditions is essential for conservation and sustainable use. Using 130 occurrence records and 14 selected environmental variables, this study applied the MaxEnt model to predict suitable habitats of <i>S. salsa</i> across China under current and future climate scenarios. The Marxan model was used to identify priority conservation areas based on habitat suitability and planning cost. Results show that temperature-related variables, soil salinity, and silt content are the most influential factors. Future scenarios suggest an overall expansion of suitable areas and a southeastward shift in habitat centroids. Priority conservation zones are primarily located in northern China, aligning with highly suitable habitats. This research provides a spatial basis for ecological restoration, habitat management, and future planning for <i>S. salsa</i> conservation under climate change.

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Publication Details

Journal
iScience
Published
2025-06-18
DOI
https://doi.org/10.1016/j.isci.2025.112933
Citations
3
Primary Topic
Species Distribution and Climate Change
Type
article
Field-Weighted Citation Impact
5.51

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article

Predicting suitable habitats and conservation areas for Suaeda salsa using MaxEnt and Marxan models

Jiamin Peng, Fenguo Zhang, Guanghua Zhao, Yongji Wang et al.
3 citations
iScience
Species Distribution and Climate Change
5.51
article

Predicting suitable habitats and conservation areas for Suaeda salsa using MaxEnt and Marxan models

Jiamin Peng, Fenguo Zhang, Guanghua Zhao, Yongji Wang, Yajun Mao, Zhusong Liu, Kefan Wu
article en
3 citations

Abstract

<i>Suaeda salsa</i> (L.) Pall. (<i>S. salsa</i>) is a salt-tolerant plant with medicinal and ecological value. Understanding its potential distribution under changing climate conditions is essential for conservation and sustainable use. Using 130 occurrence records and 14 selected environmental variables, this study applied the MaxEnt model to predict suitable habitats of <i>S. salsa</i> across China under current and future climate scenarios. The Marxan model was used to identify priority conservation areas based on habitat suitability and planning cost. Results show that temperature-related variables, soil salinity, and silt content are the most influential factors. Future scenarios suggest an overall expansion of suitable areas and a southeastward shift in habitat centroids. Priority conservation zones are primarily located in northern China, aligning with highly suitable habitats. This research provides a spatial basis for ecological restoration, habitat management, and future planning for <i>S. salsa</i> conservation under climate change.

iScienceVol. 28(7)
South China Normal University (CN)
National Natural Science Foundation of China
Life in Land
Openalex Percentile: Top 5%
Species Distribution and Climate Change
5.51
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