Data and code for: Compound drought legacy delays spring phenology across eco-topographic gradients in a monsoon–mountain transition zone
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Dataset title:Data and code for: Compound drought legacy delays spring phenology across eco-topographic gradients in a monsoon–mountain transition zone Study area:Tropic of Cancer oasis in Yunnan, China. Time period:2001–2022. Spatial resolution:1 km unless otherwise stated. Coordinate reference system:[ WGS84 UTM Zone 48N] File description:1. SOS_Hurst_2001_2022.tif; SOS_MK_p_2001_2022.tif; SOS_senslope_2001_2022.tif Spatial trend of the start of the growing season during 2001–2022. 2. W3_Drought_Impact_on_SOS_Mean_2001_2022.tif Characteristics of SOS change under the W3 drought window. 3. processed_data/Monthly mean series of SPEI, SSI, and MSDI, with background drought classes_2001_2022.csv Monthly mean series of SPEI, SSI, and MSDI, with background drought classes. 4. processed_data/SOS_drought_class_year_heatmap_filtered.csv SOS response statistics under different compound drought severity levels. 5. Distribution of MDSI classes and differences in severe drought risk under different elevation–vegetation.csv Distribution of MDSI classes and differences in severe drought risk under different elevation–vegetation. 6. Amplification effects of MDSI on SOS and typical response trajectories under different elevation–vegetation.csv Amplification effects of MDSI on SOS and typical response trajectories under different elevation–vegetation. 5. code/ Build_MSDI_Drought_Legacy_Windows_W1_W2_W3_NoSOSMask_2001_2022.py MSDI_MK+Sen.py Distribution of MDSI classes and differences in severe drought risk under different elevation–vegetation.py Amplification effects of MDSI on SOS and typical response trajectories under different elevation–vegetation.py Original data sources:MODIS phenology product, MODIS land-cover product, SPEI dataset, soil moisture dataset, DEM, and climate datasets. Full source information is provided in data_sources.md. Contact:Corresponding author: Jinliang Wang Email: jlwang@ynnu.edu.cn



