PJB-2023-604
Predicting the potential suitable habitat for China’s endangered plant Cycas sexseminifera based on the maxent model
Lijuan Wei, Guohai Wang, Haihong Liang, Yang Pan, Xinyue Chen and Qiuchan Huang
Abstract
A fundamental concept in ecology and conservation is understanding the association between the environmental conditions of plant and their geographical distribution. MaxEnt modeling and ArcGIS were used to estimate the potential habitat of China’s endangered species, Cycas sexseminifera, using 41 verified distribution records and eight specific environmental factors. The significant factors influencing the possible distribution of C. sexseminifera were assessed and evaluated using the jackknife statistical method in combination with percentage contribution and permutation importance. The possible range of the species was determined using the response curves of critical bioclimatic factors. The simulation accuracy of the generated MaxEnt model was validated to be excellent (AUC = 0.997). The provinces of Guangxi, Yunnan, Guangdong, Sichuan, Hainan, Fujian, and Taiwan contain most of the current core potential distribution areas, indicating a significant inter-regional difference. The distribution area of C. sexseminifera was most significantly influenced by the annual mean temperature (Bio1), precipitation of the driest month (Bio14), and minimum temperature of the coldest month (Bio6). The results could provide scientific direction to enhance the management and preservation of this vanishing species
To Cite this article:
Wei, L., G. Wang, H. Liang, Y. Pan, X. Chen and Q. Huang. 2025. Predicting the potential suitable habitat for China’s endangered plant Cycas sexseminifera based on the maxent model. Pak. J. Bot., 57(1): DOI: http://dx.doi.org/10.30848/PJB2025-1(22)
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