Variational characteristics of vegetation recovery period under extreme drought across various land cover types in Guizhou Province, China

This dataset provides key tabular data generated during the analysis of drought events and vegetation recovery processes in Guizhou Province, China. It includes four main components: (1) monthly mean Standardized Precipitation Evapotranspiration Index (SPEI) values; (2) de-trended and de-seasonalized MODIS GPP (Gross Primary Productivity) data from 2000 to 2021; (3) drought characteristic indicators such as drought onset, termination, duration, and severity; and (4) vegetation recovery period data following drought events. All data are stored in Excel files, organized by drought event or variable, with clear labeling and standardized formats for easy reuse. This dataset enables research on drought impacts, ecosystem resilience, vegetation recovery, and climate adaptation strategies, particularly in karst and non-karst regions. It can be reused for ecological modeling, cross-regional comparative studies, or validating drought and recovery metrics. All data are derived from publicly avail..., , # Variational characteristics of vegetation recovery period under extreme drought across various land cover types in Guizhou Province, China

Dataset DOI: [10.5061/dryad.3j9kd51wx](10.5061/dryad.3j9kd51wx)

## Description of the data and file structure

This dataset contains key variables generated during the study of vegetation response to drought in Guizhou Province, China. Using Python, the original 8-day resolution GPP data were aggregated into monthly values through a cumulative synthesis method and then processed for deseasonalization and detrending. The 3-month SPEI index at each site was calculated using R based on precipitation and temperature data. Local spatial correlation analysis was performed to assess the spatial relationships between drought characteristics (initiation and cessation times, severity, duration) and recovery time. The dataset is organized in Excel files and includes the area percentages of positive and negative spatial correlations, drought characteristic i...,