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Impacts of environment and human activity on grid-scale land cropping suitability and optimization of planting structure, measured based on the MaxEnt model

种植 环境科学 农业 播种 土地利用 农用地 三江平原 人口 地理 农业工程 农学 生态学 湿地 工程类 土木工程 社会学 人口学 考古 生物 沼泽
作者
Shiliang Yang,Huimin Wang,Jinping Tong,Yang Bai,Juha M. Alatalo,Gang Liu,Zhou Fang,Fan Zhang
出处
期刊:Science of The Total Environment [Elsevier BV]
卷期号:836: 155356-155356 被引量:53
标识
DOI:10.1016/j.scitotenv.2022.155356
摘要

Making full use of agricultural resource endowment, determining the planting suitability of areas for different crops according to the environment and human activities, and optimizing planting structure are important ways to ensure stable increases in crop yield and improve food production capacity. Taking Songhua River Basin (SRB) as an example, this study used geographic distribution information on different crops and the Maximum Entropy (MaxEnt) model to determine the degree of suitability of land in SRB for cropping, and to optimize the layout of crop planting structure. The results showed that the main factors affecting land suitability for different crops, with a combined contribution >80%, were population density, Distance from road to cultivated land, normalized difference vegetation index, and total phosphorus. Under the joint influence of the environment and human activity, the total unsuitable area of the four crops became much more extensive, with the unsuitable area of soybean being the largest (173 thousand km2) and the smallest for wheat (128 thousand km2). The highly suitable area was largest for wheat (2 thousand km2), while the other three crops were less than 2 thousand km2. Suitable distribution areas for all four crops were mainly located in the center of the basin (Songnen Plain) and in a wedge in the northeast corner (Sanjiang Plain). The relationships between different crops and environment and human activities revealed that crop suitability distribution is mainly determined by human activities, rather than the environment. These results provide a scientific basis for optimizing crop layout and improving the planting system, ensuring the security of food production.
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