详细信息

Predicting potential suitable habitat of Cistanche deserticola by integrating parasitic constraints and land use data into MaxEnt modeling  ( SCI-EXPANDED收录)  

文献类型:期刊文献

英文题名:Predicting potential suitable habitat of Cistanche deserticola by integrating parasitic constraints and land use data into MaxEnt modeling

作者:Tu, Gong-Han[1];Guo, Xu-Dong[1];Xi, Shao-Yang[1];Ma, Xiao-Hui[1];Jin, Ling[1]

第一作者:Tu, Gong-Han

通信作者:Jin, L[1]

机构:[1]Gansu Univ Chinese Med, Coll Pharm, Lanzhou, Peoples R China

第一机构:甘肃中医药大学药学院(西北中藏药协同创新中心办公室)

通信机构:[1]corresponding author), Gansu Univ Chinese Med, Coll Pharm, Lanzhou, Peoples R China.|[1073501e14fb35863569f]甘肃中医药大学药学院(西北中藏药协同创新中心办公室);[10735]甘肃中医药大学;

年份:2025

卷号:16

外文期刊名:FRONTIERS IN PLANT SCIENCE

收录:;Scopus(收录号:2-s2.0-105013469987);WOS:【SCI-EXPANDED(收录号:WOS:001551047300001)】;

基金:The author(s) declare that financial support was received for the research and/or publication of this article. This work was supported by Enhancing Security and Innovation Capabilities of Traditional Chinese Medicine Project (Gansu TCM General Letter (2024) No. 14); China Agriculture Research System of MOF and MARA (CARS-21); Gansu Provincial Rare Traditional Chinese Medicine Resources Evaluation and Protection and Utilization Engineering Research Center Open Fund (GSZXZY202203); Strategic Research and Consulting Project of China Academy of Engineering (GS2021ZDA06) and The Postgraduate Innovation and Entrepreneurship Fund of Gansu University of Chinese Medicine (2025CXCY-044).

语种:英文

外文关键词:Cistanche deserticola; MaxEnt; climate change; parasitic constraint scenario; land use

摘要:Introduction Understanding the impacts of climate change and land use dynamics on parasitic plants is crucial for ecological restoration and sustainable resource management in arid regions. This study proposes a two-dimensional modeling framework that integrates parasitic constraints and land use dynamics to predict the potential suitable habitat of Cistanche deserticola, a medicinal plant obligately parasitic on Haloxylon ammodendron.Methods Using an optimized MaxEnt model, host suitability probability was incorporated as a continuous probabilistic constraint, and high-resolution land use data were coupled to enhance ecological realism. The framework was applied to assess habitat suitability under current (1970-2000) and future climate scenarios (2050s, 2070s, 2090s, SSP126, SSP370, SSP585).Results The inclusion of parasitic constraints reduced the suitable habitat area by 4.5% (from 138.20 x 104 km(2) to 131.92 x 104 km(2)) and exacerbated habitat fragmentation, particularly in Northwest China. Future projections reveal a decrease in the total suitable habitat area but an increase in the area of highly suitable regions, with the centroid shifting towards the northwest. Land use analysis demonstrated that unused land (70.21%) and grassland (13.81%) constitute the primary habitats, highlighting their significance for sustainable cultivation. Key environmental drivers identified include July precipitation, soil pH, and temperature of the warmest quarter. The model exhibited high predictive accuracy (AUC: 0.947-0.949).Discussion The framework provides a reliable tool for assessing host-parasite interactions and land use impacts. These findings offer valuable insights for adaptive management strategies that balance ecological restoration and the sustainability of medicinal resources in arid ecosystems.

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