The dataset of predicting the potential habitat suitability of Saussurea species in China under future climate change using the optimized Maximum Entropy (MaxEnt) model

Description: Erratum note (added May 2026) In Section 2.3 of the published paper (Zhao et al., 2024, Journal of Cleaner Production 474:143552), "current (averages for 1970–2020)" should read "current (averages for 1970–2000)". The climate data used is the standard WorldClim v2.1 historical bioclimatic dataset, whose current time window is by definition 1970–2000. The "1970–2020" in Section 2.2 correctly refers to the species occurrence record filtering window. This is a writing typo and does not affect the modeling inputs or results. This dataset accompanies the study on the Saussurea species, renowned for its biodiversity and medicinal significance in high-elevation regions, which faces endangerment due to climate change and human activities. Despite its importance, conservation research on Saussurea has been limited. To address this gap, the study employed the optimized MaxEnt model to simulate Saussurea's habitat suitability and analyze key environmental factors influencing its distribution. The dataset includes: Model and Parameter Optimization Code: The code used for optimizing the MaxEnt model parameters, ensuring reproducibility of the habitat suitability models. Saussurea Distribution Points: Georeferenced points indicating the observed locations of Saussurea species. Current Environmental Variables: Data on key environmental factors influencing Saussurea distribution, such as Elevation, Isothermality (Bio3), and Temperature Annual Range (Bio7). Future Environmental Variables: Data on key environmental factors influencing Saussurea distribution under SSP126, SSP245, SSP370 and SSP585 in 2020-2100s.