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 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([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.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>

《暖湿化驱动青藏高原植被向坡上及坡下扩张》
作者：季海龙1,2，南卓铜1,2,3*，陈玉红4，赵树平2
1 气候系统预测与风险治理国家重点实验室，南京师范大学，中国南京 210023
2 虚拟地理环境教育部重点实验室，南京师范大学，中国南京 210023
3 江苏省地理信息资源开发与应用协同创新中心，南京师范大学，中国南京 210023
4 北京航空航天大学杭州国际创新研究院，中国杭州 310051
*通讯作者：南卓铜（[e-mail]）

本文简要概述了题为《暖湿化驱动青藏高原植被向坡上及坡下扩张》的手稿论文中所使用的数据集。数据文件以其对应内容命名，并按手稿中出现的顺序编号，方便查阅引用。

### part1_barren_area.xlsx
研究目标：展示植被扩张导致的裸地面积缩减情况
- area_ts：2002-2023年裸地面积（km²）时间序列
- area_cr10a：裸地面积变化速率（km²/10a）

### part1_hotspot.xlsx
研究目标：探究植被扩张热点的空间格局
- by_elevation：沿海拔梯度的分布特征
- by_aspectcos：同上，针对坡向余弦值
- by_twi：同上，针对地形湿度指数（terrain wetness index）
- by_lon：同上，针对经度

### part1_veg_background.xlsx
研究目标：剥离土地背景对植被扩张热点的影响，数据组织形式与part1_hotspot.xlsx一致。

### part2_climate_elevation.xlsx
研究目标：关联植被生长的水分与能量限制因子与区域气候，并分析其沿海拔梯度的变化特征
- climate_pre：生长季（5-9月）累积降水量气候平均值
- climate_tas：同上，针对平均气温
- change_pre：近二十年降水量变化速率
- change_tas：同上，针对气温变化速率

### part2_climate_space.xlsx
研究目标：更直观地展示植被生长的水分与能量限制因子
其中tpmfd_2d以矩阵形式组织（气温分组×降水分组），矩阵最顶部一行为气温分组，最左侧一列为降水分组。

### part2_limit_elevation.xlsx
研究目标：展示植被上限、中值、下限的差异化位移特征
- q5_ts：植被下限（m）时间序列
- median_ts：植被中值限值时间序列
- q95_ts：植被上限（m）时间序列
- limit_cr：上述各限值的变化速率（m/10a）

### part3_sensitivity.xlsx
研究目标：量化植被界限对气候变化的敏感性
- cor_q5：植被下限与降水、气温的相关性系数
- cor_q95：同上，针对植被上限
- sens_q5：植被下限对降水变化的敏感性（m/mm）
- sens_q95：植被上限对气温变化的敏感性（m/℃）
- sta_sens_q5：sens_q5的5%、50%、95%分位数
- sta_sens_q95：同上，针对植被上限敏感性

### part3_predict.xlsx
研究目标：基于推导得到的敏感性参数与未来气候变化情景，预测植被界限的变化
- delta_q5：列“climc_tp_sspxxx”代表青藏高原气候变化情景，“climc_tp_sspxxx”对应植被界限周边区域的气候变化；“lower_sspxxx”“median_sspxxx”“upper_sspxxx”为相对于历史基准期（2002-2023年）的、基于敏感性5%、50%、95%分位数预测得到的植被下限变化量。
- delta_q95：同上，针对植被上限。