汪 (2026) 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)

Identification

• Journal: Mendeley Data
• Year: 2026
• Date: 2026-04-02
• Authors: 讯 汪
• DOI: 10.17632/pv2w2tgpbp.1

Research Groups

• 讯 汪 (Contributor)

Short Summary

This study evaluates forest restoration outcomes across Tibet, providing a harmonized dataset and analytical framework to understand landscape-position controls and hydroclimatic constraints on the feasible frontier of restoration from 2002 to 2024.

Objective

• To evaluate restoration-related forest outcomes and identify landscape-position controls and hydroclimatic constraints on the feasible frontier of forest restoration in Tibet.

Study Configuration

• Spatial Scale: Across Tibet, with a spatial resolution of 1 kilometer (km).
• Temporal Scale: Annual data from 2002 to 2024.

Methodology and Data

• Models used: Feasible-frontier identification, threshold analysis, environmental heterogeneity analysis, landscape-position augmented modeling, and boundary-risk mapping. Analysis scripts for preprocessing, model fitting, and robustness analysis are provided.
• Data sources:
  • Primary Inputs: MODIS productivity and evapotranspiration products (satellite), CHIRPS precipitation dataset (blended satellite/gauge), and topographic source data.
  • Derived Outputs: Annual harmonized pixel tables; annual variables for carbon gain (NPP), water cost (ET), water yield (WY, WYfrac), precipitation, and exposure metrics (heat, dry, snow-transition); corridor- and bottleneck-based positional proxy outputs; and boundary-risk outputs.
  • Processing Environment: Google Earth Engine for monthly preprocessing and harmonization.

Main Results

• The study provides a comprehensive dataset and analytical framework for evaluating forest restoration outcomes in Tibet.
• The dataset includes derived annual harmonized pixel tables, annual variables related to carbon gain (NPP), water cost (ET), water yield (WY, WYfrac), precipitation, and late-spring exposure metrics.
• It offers corridor- and bottleneck-based positional proxy outputs to represent structural dimensions and boundary-risk outputs for identifying frontier proximity, hydroclimatic tightening, and risk classes.
• Analysis scripts are provided to support preprocessing, model fitting, robustness analysis, and figure generation for the associated manuscript.

Contributions

• Provides a unified 1-km LAEA analytical framework and a harmonized, ready-to-use dataset for evaluating forest restoration outcomes in Tibet over a 23-year period (2002–2024).
• Introduces novel positional proxy variables to represent the structural dimension in analyzing landscape-position controls and hydroclimatic constraints on forest restoration.
• Offers a comprehensive set of derived variables and analysis scripts, enhancing reproducibility and facilitating further research on ecological trade-offs in the Tibetan Plateau.

Funding

• Funding information is not provided in the dataset description.

Citation

@article{汪2026Derived,
  author = {汪, 讯},
  title = {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)},
  journal = {Mendeley Data},
  year = {2026},
  doi = {10.17632/pv2w2tgpbp.1},
  url = {https://doi.org/10.17632/pv2w2tgpbp.1}
}