Prediction of the potential suitable habitat for Xanthoceras sorbifolium bunge based on MaxEnt model

Dawei Zhang; Shicui Fu; Zhonghui Zhang; Zimo Wang; Lu Liu; Fan Yang; Jingqi Yuan; Zhongliang Yu

doi:10.1117/12.3029821

21 June 2024 Prediction of the potential suitable habitat for Xanthoceras sorbifolium bunge based on MaxEnt model

Dawei Zhang, Shicui Fu, Zhonghui Zhang, Zimo Wang, Lu Liu, Fan Yang, Jingqi Yuan, Zhongliang Yu

Proceedings Volume 13167, International Conference on Remote Sensing, Mapping, and Image Processing (RSMIP 2024); 131671P (2024) https://doi.org/10.1117/12.3029821
Event: International Conference on Remote Sensing, Mapping and Image Processing (RSMIP 2024), 2024, Xiamen, China

Abstract

This study integrates MaxEnt ecological niche model with ArcGIS technology to predict the potential suitable habitat for Xanthoceras sorbifolium Bunge in China, based on accurate and effective geographic distribution data. Three environmental factors, including climate, topography, and soil (comprising 26 environmental variables), were employed to predict the potential suitable habitats for X. sorbifolium, classify the suitable habitats, and assess its adaptability. The results indicate that the potential suitable distribution areas for X. sorbifolium in China can be categorized into high, medium, and low suitable habitats, covering an area of 189.44×104 km2, 162.05×104 km2, and 252.87×104 km2, respectively. These areas account for 19.73%, 16.88%, and 26.34% of China’s total land area. The primary environmental factors influencing the distribution of X. sorbifolium, ranked from most to least influential, include annual precipitation, soil pH, average temperature of the coldest quarter, elevation, isothermality, precipitation coefficient of variation, soil organic carbon content, clay mass fraction, percentage of gravel volume, sand content, soil capacity, and maximum temperature of the warmest month. The results of this study provide a scientific basis for the selection and production planning layout of X. sorbifolium ecological cultivation bases.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Dawei Zhang, Shicui Fu, Zhonghui Zhang, Zimo Wang, Lu Liu, Fan Yang, Jingqi Yuan, and Zhongliang Yu "Prediction of the potential suitable habitat for Xanthoceras sorbifolium bunge based on MaxEnt model", Proc. SPIE 13167, International Conference on Remote Sensing, Mapping, and Image Processing (RSMIP 2024), 131671P (21 June 2024); https://doi.org/10.1117/12.3029821

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