Decoupling anthropogenic and climate impacts on vegetation dynamics in China's Huaihe River Basin using geodetector.

ABSTRACT: Understanding the spatiotemporal dynamics of vegetation under the coupled influence of climatic and anthropogenic drivers is crucial for ecological governance at the river basin scale. This study focuses on the Huaihe River Basin (HRB) in China, a climate-sensitive region spanning both northern and southern climatic zones. Previous studies have often overlooked the inherent temporal and spatial autocorrelation in NDVI time series within this region, which may lead to overestimation or underestimation of vegetation trends, as well as misidentification of spurious trends as statistically significant. To address spatial and temporal autocorrelation challenges, we developed a novel hybrid framework combining Univariate Stationary First-order Gaussian Autoregressive (AR1) modeling with spatial

SUBMITTER: Wang X 

PROVIDER: S-EPMC12627572 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature