Variational characteristics of vegetation recovery period under extreme drought across various land cover types in Guizhou Province, China
Data files
Jan 14, 2026 version files 78.90 KB
Abstract
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.
Dataset DOI: 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 >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 >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).
