Data asssociated with manuscript entitled as "Warming and Wetting Drive Upslope and Downslope Vegetation Expansions on the Qinghai-Tibet Plateau"

Warming and Wetting Drive Upslope and Downslope Vegetation Expansions on the Qinghai-Tibet Plateau
Hailong Ji1,2, Zhuotong Nan1,2,3*, Yuhong Chen4, Shuping Zhao2
1 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, China
3 Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing, 210023, China
4 Hangzhou International Innovation Institute, Beihang University, Hangzhou 310051, China
* Corresponding author: Zhuotong Nan([e-mail])
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.xlsx
aim: 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)

part1_hotspot.xlsx
aim: 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

part1_veg_background.xlsx
aim: to isolate the impact of land background on expansion hotspot
the content is organized as "part1_hotspot.xlsx"

part2_climate_elevation.xlsx
aim: 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

part2_climate_space.xlsx
aim: to demonstrate the water and energy limitations on vegetation more directly
tpmfd_2d: organized as matrix (bins of air tempeature * bins of precipitation), with topmost row for air temperature and leftmost column for precipitation.

part2_limit_elevation.xlsx
aim: 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)

part3_sensitivity.xlsx
aim: 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

part3_predict.xlsx
aim: 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