Understanding China's greening slowdown: Nonlinear and spatial shifts in vegetation drivers

This dataset supports the study “Understanding China’s greening slowdown: Nonlinear and spatial shifts in vegetation drivers.” It does not contain raw data, but rather processed and aggregated variables derived from multiple publicly available datasets (fully cited in the associated manuscript). The dataset provides county-level statistics across China for the year 2022, including vegetation conditions and their potential driving factors. Vegetation dynamics are represented by the Kernel Normalized Difference Vegetation Index (KNDVI), calculated based on the MODIS/Terra Vegetation Indices product (MOD13A1). Environmental and socio-economic variables include surface solar radiation downward (SSRD), precipitation (Pre), temperature (Tem), digital elevation model (DEM), slope, slope direction (Dir), soil organic matter (SOM), Soil depth (SD), soil porosity (POR), soil pH, population (POP), land urbanization (LU), and nighttime light (NTL). All variables have been spatially aggregated to the county scale to ensure consistency for subsequent statistical and machine learning analyses. This processed dataset is intended to facilitate reproducibility of the study and to support further research on human–climate interactions, nonlinear relationships, and spatial heterogeneity in vegetation dynamics across China.本数据集服务于题为"《中国绿化放缓研究：植被驱动因子的非线性与空间变化》"的学术研究。本数据集未包含原始数据，而是基于多个公开数据集（完整引用信息见相关论文手稿）处理并聚合得到的变量集合。 本数据集涵盖2022年中国全域的县级统计数据，包含植被状况及其潜在驱动因子。植被动态以核归一化差分植被指数（Kernel Normalized Difference Vegetation Index，KNDVI）表征，该指数基于MODIS/Terra植被指数产品（MOD13A1）计算得到。环境与社会经济变量包括下行地表太阳辐射（surface solar radiation downward，SSRD）、降水（precipitation，Pre）、气温（temperature，Tem）、数字高程模型（digital elevation model，DEM）、坡度、坡向（slope direction，Dir）、土壤有机质（soil organic matter，SOM）、土壤深度（Soil depth，SD）、土壤孔隙度（soil porosity，POR）、土壤pH值、人口（population，POP）、土地城镇化（land urbanization，LU）以及夜间灯光（nighttime light，NTL）。 所有变量均已空间聚合至县级尺度，以确保后续统计与机器学习分析的一致性。本处理后数据集旨在助力该研究的可复现性，并支撑针对中国植被动态中人类-气候交互作用、非线性关系以及空间异质性的后续研究。