Nonlinear variations and drivers of vegetation NPP on the Tibetan Plateau: Interaction of natural and human factors.

ABSTRACT: Understanding the drivers of changes in vegetation net primary productivity (NPP) is critical for comprehending ecosystem dynamics and their ability to respond to environmental shifts. However, the complexity and nonlinear variations of NPP across the Tibetan Plateau, along with spatial and temporal inconsistencies, present significant analytical challenges. This study leverages the Google Earth Engine (GEE) platform and applies non-parametric trend analysis methods, such as the Sen slope estimator, Mann-Kendall test, coefficient of variation, and Hurst exponent, to investigate NPP trends from 2001 to 2021. The Optimal Parameters-based Geographical Detector (OPGD) model was employed to assess the combined effects of natural factors and human activities on NPP's spatial distribution and var

SUBMITTER: Tang J 

PROVIDER: S-EPMC12212555 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature