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:

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.

本数据集配套一项针对风毛菊属（Saussurea）物种的研究。风毛菊属物种兼具生物多样性价值与高海拔区域的药用价值，却因气候变化与人类活动面临濒危困境。尽管该类群具有重要研究价值，现有针对风毛菊属的保护研究仍较为匮乏。为填补这一研究空白，本研究采用优化后的最大熵模型（MaxEnt）模拟风毛菊属物种的生境适宜性，并解析影响其分布的关键环境因子。
本数据集包含以下内容：
模型与参数优化代码：用于优化MaxEnt模型参数的代码，可保障生境适宜性模型的可复现性。
风毛菊属分布点位：带地理坐标的观测点位数据，记录了风毛菊属物种的实地分布位置。
当前环境变量数据集：包含影响风毛菊属物种分布的关键环境因子数据，涵盖海拔（Elevation）、等温性（Isothermality，Bio3）及气温年较差（Temperature Annual Range，Bio7）等指标。
未来环境变量数据集：包含2020至2100年期间，在SSP126、SSP245、SSP370及SSP585四种共享社会经济路径情境下，影响风毛菊属物种分布的关键环境因子数据。