A dataset on energy crops suitability of high-value marginal land in China

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: Weihong Guo, Fu Chen, Zhanbin Luo, Feifei Jiang, Bin Yang, Jiayuan Guo
DOI: 10.5281/zenodo.18296832
Cited by: 0

Abstract

The dataset integrates land use, meteorological, soil, topographic data, and energy crop occurrence records. It was generated using the Maximum Entropy (MaxEnt) model and GIS spatial analysis methods. This dataset advances research on marginal land energy crops and contributes to studies in national spatial governance, food security, energy security, and carbon neutrality. It comprises 69 GeoTIFF files (one per energy crop species) packaged in a single zip archive. Each raster file contains binary suitability values, where 0 indicates unsuitable and 1 indicates suitable.

Fields of Study & Subjects

Bioenergy crop production and management Soil and Land Suitability Analysis Species Distribution and Climate Change

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
19 January 2026
Document type
Dataset