基于自然地理要素的全球土地宜垦性数据集的研发  

Development of a Global Land Suitability Dataset for Cultivation Based on Physiogeographic Factors

作　　者：张成鹏 叶瑜 方修琦 Zhang,C.P.;Ye,Y.;Fang,X.Q.(Faculty of Geographical Science,Beijing Normal University,Beijing 100875,China)

机构地区：[1]北京师范大学地理科学学部,北京100875

出　　处：《全球变化数据学报（中英文）》2022年第3期386-394,V0386-V0394,共18页Journal of Global Change Data & Discovery

基　　金：中华人民共和国科学技术部(2017YFA0603304)。

摘　　要：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 suitability data for cultivation based on physiogeographical factors are the basic input when studying the spatially explicit reconstruction of historical cropland cover.The credibility of the gridded allocated results was partially determined by the quality of land suitability data.The assumption that the physiogeographical factor affects the cultivation intensity with the same linear relationship was unreasonable for most previous studies at global or continental scales.In this study,the correlation between modern cultivation intensity and 13 physiogeographic factors(including climate,topography,soil,etc.)was detected around the world under each 0.5°×0.5°grid cell,and then the 5′×5′global dataset of the land suitability was developed based on the integration of all identified factors that significantly correlated with the cultivation intensity.The results mainly aid research regarding spatially explicit reconstruction of historical cropland cover on the global scale.The dataset is archived in.img format and consists of 4 data files.The data size is 38.7 MB(compressed to 3.55 MB).

关 键 词：自然地理要素 耕地覆盖 空间分异 相关性 宜垦性 

分 类 号：F301.2[经济管理—产业经济] P90[天文地球—自然地理学]