黑土层厚度预测和土壤侵蚀风险评估在中国东北部的一个小流域
Keke Xu1,2,3,4,5, Huimin Dai2,3,4,5, Xujiao Zhang1
1School of Earth Sciences and Resources, China University of Geosciences(Beijing), Beijng, China.
PloS one
|June 9, 2025
概括
准确地绘制黑土层厚度的地图对于农业和侵蚀控制至关重要. 随机森林模型有效预测了厚度,确定了海拔作为关键因素,并指导了土壤侵蚀风险管理策略.
科学领域:
- 土壤科学 土壤科学
- 地质科学 地质科学
- 环境科学 环境科学
背景情况:
- 由于其肥沃性,黑土对于农业至关重要.
- 传统方法缺乏详细的黑土层厚度数据.
- 了解空间分布有助于农业发展和侵蚀控制.
研究的目的:
- 估计中国东北地区水域中黑土层厚度的空间分布.
- 为了比较随机森林和Kriging模型的性能,用于厚度预测.
- 开发土壤侵蚀风险评估的综合框架.
主要方法:
- 整合地形参数和植被气候指标.
- 应用随机森林和各种Kriging插值方法.
- 开发一个结合RUSLE侵蚀估计和土壤厚度的评估框架.
主要成果:
- 与Kriging.com相比,随机森林模型显示出更高的性能 (RMSE=34.05厘米,R2=0.57).
- 预测的黑土层厚度在16.2至107厘米 (平均48.31厘米) 之间.
- 高度是影响黑土层厚度的最重要因素,84.12%的面积具有低至无侵蚀风险.
结论:
- 随机森林是有效的预测黑土层厚度,特别是复杂的数据.
- 高度是黑土厚度的主要驱动因素.
- 根据风险评估,建议采取有针对性的土壤侵蚀控制措施,这对于可持续的土地管理至关重要.
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