Vegetation on the move: Elevational shifts and greening dynamics across the Himalayan alpine zone

This dataset contains processed climate and vegetation data supporting analyses of spatiotemporal vegetation dynamics from 1999 to 2022 across six study regions in the Himalayas. The dataset is organized into four components: (1) annual climatic variables derived from ERA5 reanalysis data, including total precipitation (TP), skin temperature (SKT), and snow depth (SD); (2) pixel-level Normalized Difference Vegetation Index (NDVI) values extracted from Landsat imagery, along with derived trend metrics (initial NDVI, linear trend slope, and statistical significance); (3) annual estimates of vegetation line elevation derived using the Triangle method; and (4) regionally aggregated summary metrics integrating climate variables, vegetation trends, and elevational changes. The data enable assessment of relationships between climate variability, vegetation greenness, and elevational shifts, and can be reused for comparative studies of vegetation–climate interactions. All variables are provided..., , # Data from: Vegetation on the move: Elevational shifts and greening dynamics across the Himalayan alpine zone Dataset DOI: [10.5061/dryad.4xgxd25nv](https://doi.org/10.5061/dryad.4xgxd25nv) ## Description of the data and file structure This dataset contains the processed data supporting the main analyses of the study, including climatic variables for trend analysis, NDVI data (1999–2022) and their temporal changes, vegetation line elevation estimates, and summary statistics across six study regions. These data underpin the assessment of vegetation dynamics and their relationship with climate variability presented in the manuscript. ### Files and variables #### File: Dataset_CSV.zip **Description:** This dataset comprises four structured data files containing the processed outputs used to generate the main figures and analyses presented in the manuscript. The files are organized by data type and analytical purpose, as described below. **Data 1: Climate data (SD, SKT, TP)** This..., ,本数据集包含经过预处理的气候与植被数据，用于支撑1999年至2022年间喜马拉雅山脉六个研究区域内植被时空动态的相关分析。本数据集分为四个组成部分：(1) 源自ERA5再分析数据的年度气候变量，涵盖总降水量（total precipitation, TP）、皮肤温度（skin temperature, SKT）以及积雪深度（snow depth, SD）；(2) 从Landsat影像中提取的像元级归一化植被指数（Normalized Difference Vegetation Index, NDVI）数值，及其衍生的趋势指标（初始NDVI、线性趋势斜率与统计显著性）；(3) 采用三角法（Triangle method）计算得到的年度植被线海拔估算值；(4) 整合气候变量、植被趋势与海拔变化的区域汇总统计指标。 本数据集可用于评估气候变异性、植被绿度与海拔迁移之间的关联，也可复用于植被-气候相互作用的比较研究。所有变量均已提供……，数据来源：《植被动态变迁：喜马拉雅高山带的海拔迁移与绿度动态》（Vegetation on the move: Elevational shifts and greening dynamics across the Himalayan alpine zone） 数据集DOI：[10.5061/dryad.4xgxd25nv](https://doi.org/10.5061/dryad.4xgxd25nv) ## 数据说明与文件结构 本数据集包含支撑本研究主要分析的预处理数据，包括用于趋势分析的气候变量、1999-2022年NDVI数据及其时序变化特征、植被线海拔估算值，以及六个研究区域的汇总统计量。这些数据为本文稿中呈现的植被动态及其与气候变异性的关联评估提供了核心支撑。 ### 文件与变量 #### 文件：Dataset_CSV.zip **描述：** 本数据集包含四个结构化数据文件，涵盖用于生成本文稿主要图表与分析结果的预处理输出成果。这些文件按照数据类型与分析目的进行组织，详述如下。 **数据1：气候数据（SD、SKT、TP）** 本部分内容……，