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    基于CART-XGBoost模型的松辽平原盐碱地耕作适宜性评价

    Assessment of the cultivation suitability of saline-alkali land in the ongliao Plain based on the CART-XGBoost model

    • 摘要: 盐碱地是我国最大的后备耕地资源,合理评估盐碱地耕作适宜性有助于因地制宜快速有效进行盐碱地治理,促进农业可持续发展。该文利用Landsat系列卫星数据,解析1985—2020年松辽平原土壤盐渍化程度演变。结合盐碱地耕作区盐渍化变化属性,构建CART-XGBoost适宜性评价模型,评估区域现有盐碱地耕作适宜性。结果表明: ①1985年松辽平原盐碱地为3.85×104 km2,2020年减少至2.53×104 km2;②CART-XGBoost模型精确度大于0.61,较全域XGBoost模型适宜性评价正确率提高了30%;③将适宜性划分为极易耕作、较易耕作、难耕作和不宜耕作4个等级,其中较易耕作区面积最大,共有10 991.18 km2,主要分布在吉林省白城市和黑龙江省大庆市。不宜耕作区主要分布在黑龙江省安达市部分地区。该文建立的盐碱地耕作适宜性分区评价体系模型可为盐碱地转耕治理提供选区依据。

       

      Abstract: Saline-alkali land represents the largest cultivated land reserve in China. Accurately assessing the cultivation suitability of saline-alkali land can facilitate the rapid and effective management of saline-alkali land based on local conditions, thereby promoting the sustainable development of agriculture. Using the Landsat satellite data, this study analyzed the evolutionary pattern of soil salinization in the Songliao Plain between 1985 and 2020. Considering the salinization changes of cultivated areas in the saline-alkali land, this study established the CART-XGBoost model for assessing the cultivation suitability of existing saline-alkali land in the region. The results show that the saline-alkali land in the Songliao Plain covered an area of 3.85×104 km2 in 1985, which was reduced to 2.53×104 km2 by 2020. The CART-XGBoost model yielded an accuracy of above 0.61, representing a 30% improvement in suitability assessment accuracy compared to the global XGBoost model. The cultivation suitability of saline-alkali land was classified into four levels: high suitability, moderate suitability, low suitability, and unsuitability. The saline-alkali land, which is moderately suitable for cultivation, covers the largest area that totals 109 91.18 km2, predominantly distributed in Baicheng, Jilin Province and Daqing, Heilongjiang Province. The saline-alkali land unsuitable for cultivation is primarily distributed in some areas of Anda City, Heilongjiang Province. Overall, the CART-XGBoost model for assessing the cultivation suitability of saline-alkali land provides a scientific basis for the conversion of saline-alkali land into cultivated land.

       

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