2026-10-14T05:42:14Z https://www.scidb.cn/oai

10.57760/sciencedb.46301 2026-08-14T10:15:07Z

2026-08-14 Predicting the potential distribution of Taxillus chinensis in china under current and future climate scenarios using a MaxEnt Model integrated with host suitability factors doi:10.57760/sciencedb.46301 en This dataset underpins all modeling, analysis, and figure generation in the associated paper, and is intended to serve as reusable foundational data for parasitic plant distribution modeling, host–parasite relationship quantification, and climate change impact assessment. The dataset encompasses species occurrence records, environmental variables (climate, topography, and host suitability), MaxEnt model input and output files, future climate projection results, and intermediate products from spatial analyses. All data have undergone rigorous quality control, spatial thinning, collinearity screening, and coordinate alignment. The spatial resolution is 10 arc-minutes (approximately 18.6 km), covering the terrestrial extent of China (longitude 73°–135°E, latitude 18°–54°N). Biological sciences; Taxilus chinensis; MaxEnt; Species distribution model Liu Mohan Fan Xu EMBARGO https://creativecommons.org/licenses/by-nc-nd/4.0/ dataset Science Data Bank