Spatial variations of organic matter concentration in cultivated land topsoil in North China based on updated soil databases

Dongheng Yao, Enyi Xie, Ruqian Zhang, Bingbo Gao, Liang Li, Zhenting Zhao, Wencai Zhang, Yubo Liao, Ming Lei, Xiangbin Kong
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Abstract

Accurate knowledge of spatial variations in organic matter concentration of cultivated land topsoil (CTSOM) is crucial for the effective use and management of cultivated land. However, this knowledge remains largely uncertain owing to outdated and imprecise soil databases. Therefore, in 2020, this study meticulously collected 918 samples of cultivated land topsoil (0–30 cm) in Hebei Province of North China, and a Random Forest (RF) model was used to delineate the spatial variability of CTSOM. Results indicated the robust performance of the RF model containing 21 predictors, with an R2 of 0.77, and soil total nitrogen (TN) emerging as the most important predictor. The current mean CTSOM level in the study area stood at 16.47 ± 3.94 g kg−1, displaying a spatial pattern with higher CTSOM levels in the western and northern mountainous areas, and lower levels in the eastern plain areas. A comparison with the second national soil survey data revealed that the overall regional level of CTSOM has increased by 4.28 g kg−1 over the last 40 years. However, a significant decline in CTSOM was observed in the northern part of the study area, where straw return and fertilization can be key contributing factors. This study provides updated knowledge on the spatial variations of CTSOM in North China, which is valuable for agricultural ecosystem management worldwide and for carbon accounting in terrestrial ecosystems.
基于更新土壤数据库的华北耕地表层土壤有机质含量空间变化
准确掌握耕地表层土壤有机质浓度的空间变化规律对耕地的有效利用和管理至关重要。然而,由于过时和不精确的土壤数据库,这方面的知识在很大程度上仍然不确定。因此,本研究于2020年对河北省918个耕地表层土壤(0-30 cm)样本进行了精细采集,并采用随机森林(Random Forest, RF)模型对CTSOM的空间变异性进行了描绘。结果表明,该模型具有良好的预测效果,R2为0.77,其中土壤全氮(TN)是最重要的预测因子。研究区CTSOM平均水平为16.47 ± 3.94 g kg−1,呈现西部和北部山区CTSOM水平较高,东部平原区CTSOM水平较低的空间格局。与第二次全国土壤调查数据比较,近40年CTSOM的区域总体水平增加了4.28 g kg−1。然而,研究区北部CTSOM显著下降,秸秆还田和施肥可能是主要影响因素。该研究为华北地区CTSOM的空间变化提供了新的认识,对全球农业生态系统管理和陆地生态系统碳核算具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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