DOI: 10.6084/m9.figshare.30479216
title: Data asssociated with manuscript entitled as "Warming and Wetting Drive Upslope and Downslope Vegetation Expansions on the Qinghai-Tibet Plateau"

description: Warming and Wetting Drive Upslope and Downslope Vegetation Expansions on the Qinghai-Tibet PlateauHailong Ji1,2, Zhuotong Nan1,2,3*, Yuhong Chen4, Shuping Zhao21 State Key Laboratory of Climate System Prediction and Risk Management, Nanjing Normal University, Nanjing, 210023, China 2 Key Laboratory of Ministry of Education on Virtual Geographic Environment, Nanjing Normal University, Nanjing, 210023, China3 Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing, 210023, China4 Hangzhou International Innovation Institute, Beihang University, Hangzhou 310051, China* Corresponding author: Zhuotong Nan(nanzt@njnu.edu.cn)This document provides a concise overview of the data used in the manuscript titled "Warming and Wetting Drive Upslope and Downslope Vegetation Expansions on the Qinghai-Tibet Plateau". The data files are named according to their corresponding content and numbered based on their order of appearance in the manuscript for easy reference.part1_barren_area.xlsxaim: to show barren land has shrunk due to vegetation expansion"area_ts": time series of barren land area (km2) during 2002-2023"area_cr10a": change rate of barren land area (km2/10a)<br><br>part1_hotspot.xlsxaim: to explore the spatial pattern of vegetation expansion hotspot"by_elevation": distribution along the elevation"by_aspectcos": same as above, but for cosine(aspect)"by_twi": same as above, but for terrain wetness index"by_lon": same as above, but for longitude<br><br>part1_veg_background.xlsxaim: to isolate the impact of land background on expansion hotspotthe content is organized as "part1_hotspot.xlsx"<br><br>part2_climate_elevation.xlsxaim: to link water and energy limitations on vegetation to regional climate and their changes along elevation"climate_pre": climatic mean of accumulated precipitation during growing season (May-Sep.)."climate_tas": same as above, but for mean air temperature"change_pre": change rate of precipitation over the past two decades"change_tas": same as above, but for air temperature<br><br>part2_climate_space.xlsxaim: to demonstrate the water and energy limitations on vegetation more directlytpmfd_2d: organized as matrix (bins of air tempeature * bins of precipitation), with topmost row for air temperature and leftmost column for precipitation.<br><br>part2_limit_elevation.xlsxaim: to show the divergent shifts of vegetation upper/median/lower limits"q5_ts": time series of lower limit(m)"median_ts": time series of median limit"q95_ts": time series of upper limit"limit_cr": change rates of above limits (m/10a)<br><br>part3_sensitivity.xlsxaim: to quantify the sensitivity of vegetation limits to climate change"cor_q5": the corrleation between lower limit and precipitation and air tempeature"cor_q95": same as above, but for upper limit"sens_q5": sensitivity of lower limit to precipitation change (m per mm)"sens_q95": sensitivity of upper limit to air tempeature change (m per °C)"sta_sens_q5": the 5th, 50th, 95th quantiles of "sens_q5""sta_sens_q95": same as above, but for upper limit<br>part3_predict.xlsxaim: to project the changes of vegetation limit based on the derived sensitivity and future climate change"delta_q5": cols of "climc_tp_sspxxx" represent climate change over the Qinghai-Tibet Plateau , "climc_tp_sspxxx" correspond to climate change around vegetation limit. "lower_sspxxx", "median_sspxxx", and "upper_sspxxx" are projected changes of vegetation lower limits with 5th, 50th, 95th quantiles of sensitivity, in relative to the historical baseline (2002-2023). "delta_q95": same as above, but for upper limit<br>