Derived annual pixel tables, landscape-position proxy outputs, boundary-risk outputs, and analysis scripts for feasible-frontier analysis of forest restoration outcomes in Tibet (2002–2024)

This dataset supports the manuscript “Landscape-position controls and hydroclimatic constraints on the feasible frontier of forest restoration in Tibet (2002–2024)”. The study evaluates restoration-related forest outcomes across Tibet within a unified 1-km LAEA analytical framework for 2002–2024. All annual climate, topographic, and productivity/evapotranspiration layers were standardized to a common projection, spatial resolution, and spatial index and were organized into harmonized annual pixel tables for frontier identification, threshold analysis, environmental heterogeneity analysis, landscape-position augmented modeling, and boundary-risk mapping.
The archived dataset includes: (1) derived annual harmonized pixel tables used in the analysis; (2) annual variables related to carbon gain, water cost, water yield, and late-spring exposure, including NPP, ET, WY, WYfrac, precipitation, and heat, dry, and snow-transition exposure metrics; (3) corridor- and bottleneck-based positional proxy outputs used to construct aligned landscape-position variables; (4) boundary-risk outputs used to identify frontier proximity, hydroclimatic tightening, and risk classes; and (5) analysis scripts used for preprocessing, model fitting, robustness analysis, and figure generation.

The structural dimension in this study is represented by positional proxy variables rather than by direct continuous annual network-process observations. Accordingly, the corridor and bottleneck outputs in this dataset are provided as aligned proxy inputs supporting the construction of landscape-position variables used in the manuscript.
Input datasets from original public providers, including MODIS productivity and evapotranspiration products, the CHIRPS precipitation dataset, and topographic source data, are not redistributed here. Monthly preprocessing and harmonization were conducted in Google Earth Engine.

本数据集支撑题为《西藏森林恢复可行边界的景观位置控制与水文气候约束（2002–2024）》的研究论文。本研究于2002至2024年间，基于统一的1km兰伯特方位等积投影(LAEA)分析框架，评估了西藏全域范围内与森林恢复相关的各类森林生态成效。所有年度气候、地形、生产力/蒸散图层均经过统一投影、空间分辨率与空间索引标准化处理，并整理为标准化年度像素表，用于边界识别、阈值分析、环境异质性分析、景观位置增强建模与边界风险制图。

存档数据集包含以下内容：
1. 本研究分析所用的衍生标准化年度像素表；
2. 与碳增益、水分成本、产水量及晚春暴露度相关的年度变量，包括净初级生产力(NPP, Net Primary Productivity)、蒸散(ET, Evapotranspiration)、产水量(WY, Water Yield)、产水分数(WYfrac, Water Yield Fraction)、降水量，以及热胁迫、干旱胁迫与积雪过渡暴露度指标；
3. 基于廊道与瓶颈的位置代理变量输出，用于构建匹配的景观位置变量；
4. 边界风险输出，用于识别边界邻近性、水文气候约束收紧程度与风险等级；
5. 用于预处理、模型拟合、鲁棒性分析与图表生成的分析脚本。

本研究的结构维度以位置代理变量表征，而非直接的连续年度网络过程观测数据。据此，本数据集的廊道与瓶颈输出以匹配的代理输入形式提供，支撑研究论文中景观位置变量的构建。

本数据集未重新分发来自原始公开数据源的输入数据集，包括中分辨率成像光谱仪(MODIS, Moderate Resolution Imaging Spectroradiometer)生产力与蒸散产品、CHIRPS降水量数据集，以及地形源数据。所有月度预处理与标准化工作均在谷歌地球引擎(Google Earth Engine, GEE)中完成。