中国浙江省土壤全氮的空间分布及其主要驱动因素

IF 5.6 1区 农林科学 Q1 SOIL SCIENCE Geoderma Pub Date : 2024-11-23 DOI:10.1016/j.geoderma.2024.117112
Mi Tian , Binbin Sun , Chao Wu , Xiaomeng Cheng , Guohua Zhou , Chunlei Huang , Yining Zhou , Qinghai Hu , Longxue Li
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引用次数: 0

摘要

氮是各种作物生长发育阶段不可或缺的元素,也是土壤养分的重要组成部分。它在农田生态系统中发挥着重要作用。研究土壤全氮(STN)的空间分布对于提高土壤肥力管理效率和更好地理解土壤氮循环至关重要。本研究基于 2002 年至 2018 年在中国浙江省建立的多用途区域地球化学调查,获得了 7.47 × 104 平方公里区域内 19119 个采样点的表层土壤(0-20 cm)STN 含量数据。利用随机森林模型确定了 STN 的空间分布和主要驱动因素。结果表明,浙江省表土中 STN 的平均含量为 1.48 g-kg-1。在不同土地利用类型中,草地土壤的 STN 含量最高,为 1.55 g-kg-1;苜蓿壤土的 STN 含量最高,为 2.59 g-kg-1。研究区 STN 含量的空间分布为北部高、南部低。随机森林分析结果表明,氮沉降、pH 值和年平均降水量(MAP)是影响 STN 空间变化的最重要因素。随着 pH 值和 MAP 的增加,STN 含量呈非线性下降,而随着氮沉降量的增加,STN 含量呈非线性上升。本研究为决策者提供了浙江省 STN 空间变异性及其驱动因子的综合信息,对准确把握 STN 空间分布特征,实施精准农业管理措施具有重要意义。
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Spatial distributions and the main driving factors of soil total nitrogen in Zhejiang Province, China
Nitrogen is an indispensable element in the growth and development stages of various crops, as well as an important component of soil nutrients. It plays an important role in farmland ecosystems. Studying the spatial distribution of soil total nitrogen (STN) is essential for improving the efficiency of soil fertility management and for a better understanding of the soil nitrogen cycle. In the study, the STN content data of surface soil (0–20 cm) were obtained from 19,119 sampling sites within an area of 7.47 × 104 km2 based on a multi-purpose regional geochemical survey established in Zhejiang Province, China, from 2002 to 2018. The spatial distribution and main driving factors of STN were determined using the random forest model. The results showed that the average STN content in the topsoil of the Zhejiang Province was 1.48 g⋅kg−1. Among the different land-use types, grassland soil had the highest STN content of 1.55 g⋅kg−1, and alfisol had the highest STN content of 2.59 g⋅kg−1. The spatial distribution of STN content was high in the northern part and low in the southern part of the study area. The results of the random forest analysis showed that nitrogen deposition, pH, and mean annual precipitation (MAP) were the most important factors influencing the spatial variability of STN. The STN content exhibited a nonlinear decrease with an increase in pH and MAP and a nonlinear increase with an increase in nitrogen deposition. This study provides decision-makers with synthesized information on the spatial variability of STN and its driving factors in Zhejiang Province, which is important for accurately grasping the spatial distribution characteristics of STN to implement precision agriculture management measures.
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来源期刊
Geoderma
Geoderma 农林科学-土壤科学
CiteScore
11.80
自引率
6.60%
发文量
597
审稿时长
58 days
期刊介绍: Geoderma - the global journal of soil science - welcomes authors, readers and soil research from all parts of the world, encourages worldwide soil studies, and embraces all aspects of soil science and its associated pedagogy. The journal particularly welcomes interdisciplinary work focusing on dynamic soil processes and functions across space and time.
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