DOI: 10.5061/dryad.3j9kd51wx
title: Variational characteristics of vegetation recovery period under extreme drought across various land cover types in Guizhou Province, China

description: 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 available remote sensing and climate sources; no personal,
 sensitive, or identifiable information is included. There are no legal or
 ethical restrictions on the use of this dataset, provided proper citation
 is given.
description: # 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
 indicators, and the processed GPP data. It provides valuable data support
 for drought impact assessment and vegetation resilience research. There
 are no ethical or legal restrictions on the use of this dataset.
 Descriptions **GPP_and_SPEI.xlsx** * Year & Month: Corresponding
 date/time. * Mean GPP: Monthly mean GPP synthesized using the accumulation
 composite method. * Detrended GPP: GPP values after deseasonalization and
 detrending of the Mean GPP. * Average SPEI: Monthly mean SPEI calculated
 at a 3-month timescale.
 **The_area_proportion_of_drought_characteristic.xlsx** Event: Name of each
 drought event Date: * In the "start" sub-sheet: indicates the
 specific start date of each drought event. * In the "end"
 sub-sheet: indicates the specific end date of each drought event.
 Category: * In the "duration" sub-sheet: classifies the duration
 of each drought event. * In the "severity" sub-sheet: classifies
 the intensity of each drought event. * In the "recovery"
 sub-sheet: classifies the recovery time following each drought event.
 Percentage: The areal proportion for each specific category within each
 drought event.
 **The_area_proportion_of_drought_characteristics_for_land_cover_types.xlsx** Event: Name of each drought event. In the "start" sub-sheet: Forest Spring (Summer, Autumn, Winter): The proportion of forest area where drought began during the Spring (Summer, Autumn, Winter) season. Applies similarly to Shrubland and Cropland. In the "end" sub-sheet: Forest Spring (Summer, Autumn, Winter): The proportion of forest area where drought ended during the Spring (Summer, Autumn, Winter) season. Applies similarly to Shrubland and Cropland. In the "duration" sub-sheet: * Forest / Shrubland / Cropland: The average drought duration for the respective region (forest, shrubland, or cropland). * Forest 2 (3, 4, 5, or &gt;5): The proportion of forest area where the drought lasted for 2 months (or 3, 4, 5 months, or more than 5 months). Applies similarly to Shrubland and Cropland. In the "severity" sub-sheet: * Forest / Shrubland / Cropland: The average drought intensity for the respective region (forest, shrubland, or cropland). * Forest Mild (Moderate, Severe): The proportion of forest area affected by mild (moderate, severe) drought. Applies similarly to Shrubland and Cropland. In the "recovery" sub-sheet: * Forest / Shrubland / Cropland: The average recovery time for the respective region (forest, shrubland, or cropland). * Forest 1 (2, 3, 4, 5, or &gt;5): The proportion of forest area with a recovery period of 1 month (or 2, 3, 4, 5 months, or more than 5 months). Applies similarly to Shrubland and Cropland. **The_correlation_between_drought_characteristics_and_recovery_period.xlsx** * Positive: The proportion of area where drought characteristics (start, end, duration, severity) exhibit a positive correlation with recovery time in local spatial correlation analysis. * Negative: The proportion of area where drought characteristics (start, end, duration, severity) exhibit a negative correlation with recovery time in local spatial correlation analysis. ## Code/software Data processing and analysis were conducted using Python (version 3.11) and R (version 4.2.1).