基于自然地理要素的全球土地宜垦性数据集

基于自然地理要素构建的土地宜垦性数据是历史耕地格网化空间分配研究中重要的基础数据，其合理性直接影响着格网化结果的可靠性。在已有相关研究中，假设某一自然地理要素在全球或洲际等宏观尺度以同一线性关系影响宜垦性大小，存在较大不合理性。本研究在0.5°× 0.5° 格网单元下辨识了全球陆地（除南极洲）范围内气候、土壤、地形等13个自然地理要素与现代垦殖率的相关性，分区遴选与现代垦殖率显著相关的自然地理要素综合构建了全球土地宜垦性数据。结果可作为全球或洲际等大尺度历史耕地格网化空间分配研究中的一项基础数据。该数据由4个数据文件组成，以.img格式存储，空间分辨率为5′ × 5′，数据量为38.7 MB (压缩为1个文件，3.55 MB)。

Land reclamation suitability data constructed based on physical geographic elements is a critical foundational dataset for research on the spatial allocation of historical cropland gridification, and its rationality directly dictates the reliability of gridification outcomes. Existing related studies assume that a single physical geographic element exerts a uniform linear impact on reclamation suitability at macro scales such as global or continental levels, which suffers from considerable irrationality. In this study, we first identified the correlations between 13 physical geographic elements (including climate, soil, topography, etc.) and current cropland reclamation rate across global land areas (excluding Antarctica) at the 0.5°× 0.5° grid cell scale. Then, we selectively screened the physical geographic elements that exhibit significant correlations with current cropland reclamation rate by region, and comprehensively constructed the global land reclamation suitability dataset. The resultant dataset can serve as a foundational resource for large-scale spatial allocation studies of historical cropland gridification at global or continental scales. This dataset comprises 4 data files stored in .img format, with a spatial resolution of 5′ × 5′, and has a total size of 38.7 MB (compressed into a single file of 3.55 MB).

搜集汇总

背景与挑战

背景概述

该数据集是一个基于自然地理要素的全球土地宜垦性数据集，包含13个自然地理要素，空间分辨率为5′×5′，适用于全球或洲际尺度的历史土地网格空间分配研究。数据以.img格式存储，总数据量为38.7 MB（压缩后3.55 MB）。