AUTHOR=Yanhui Ye , Aohang Jing , Yanying Han 

TITLE=Prediction of the potential distribution of Piptanthus nepalensis in China under future climate scenarios

JOURNAL=Frontiers in Forests and Global Change

VOLUME=Volume 8 - 2025

YEAR=2025

URL=https://www.frontiersin.org/journals/forests-and-global-change/articles/10.3389/ffgc.2025.1601085

DOI=10.3389/ffgc.2025.1601085

ISSN=2624-893X

ABSTRACT=IntroductionClimate change is driving unprecedented shifts in ecosystems, altering species distributions, abundance, and richness. This study aims to predict the potential distribution of the alpine endemic species Piptanthus nepalensis in China under current and future climate scenarios and assess its response to climate change.MethodsWe employed the Maximum Entropy (MaxEnt) model, rigorously optimized using ENMeval, to predict distribution patterns. Key environmental variables were selected for model calibration. Model performance was evaluated using the Area Under the Receiver Operating Characteristic Curve (AUC).ResultsThe optimized MaxEnt model demonstrated excellent predictive performance (AUC = 0.985). Key findings are: (1) The current total suitable habitat area is 25.78 × 104 km2, with high-suitability zones (6.90 × 104 km2) concentrated along the Sichuan-Yunnan-Tibet border; (2) Under future climate scenarios, low-suitability areas expand (peaking at 31.29 × 104 km2 under SSP370-2050s), while high-suitability areas contract substantially (declining to 3.92 × 104 km2 under SSP585-2050s); (3) Habitat quality is negatively correlated with climate emission intensity. High-suitability zones show relative stability under SSP126 (core retention rate: 0.71%–0.83%) but exhibit pronounced “expansion-contraction oscillations” under SSP585.DiscussionThese results highlight the significant threat climate change poses to P. nepalensis, particularly under high-emission scenarios. Conservation efforts should prioritize the core Sichuan-Yunnan-Tibet regions and closely monitor ecological risks associated with expanding low-suitability habitats. This study provides critical scientific insights for the climate-adaptive management of alpine endemic species.