Spatiotemporal variations and driving factors of farmland soil organic carbon in various landforms of a complex topography

IF 6.1 1区 农林科学 Q1 SOIL SCIENCE
Jun Long , Jing Li , Qian Huang , Luanmei Lu , Honghong Li , Shihe Xing , Liming Zhang
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引用次数: 0

Abstract

Estimating the spatiotemporal variations and driving factors of farmland soil organic carbon density (SOCD) is of great significance for enhancing soil carbon sequestration capacity. Herein, a large region of complex topography was targeted, which includes hill–mountain, valley–basin, and plain–platform. Based on the massive amounts of sampling data (57,254 measured values) and a large-scale soil map of 1:10,000 (371,976 polygonal patches), the gravity center migration model and gray correlation model were used to quantify the spatiotemporal variations and driving factors of farmland SOCD. The results indicated that the farmland soils in the study area had dual functions of carbon source and sink during 1982–2018, of which 45.50 % and 54.50 % were identified as carbon source and sink, respectively. Specifically, the SOCD for the entire study area, its hill–mountain, and valley–basin increased from 2.79 kg m−2, 2.97 kg m−2, and 3.06 kg m−2 to 2.87 kg m−2, 3.06 kg m−2, and 3.14 kg m−2, respectively, with 0.08 kg m−2 carbon sequestrations and a northeast migration direction for the SOCD gravity center (angle: 21.94°, 23.56°, and 18.82°; distance: 1.56 km, 2.73 km, and 3.20 km). There was a smaller increase of 0.07 kg m−2 in SOCD for the plain–platform from 2.38 kg m−2 (1982) to 2.45 kg m−2 (2018), and the SOCD gravity center migrated to the southwest with an angle of −172.46° and a distance of 1.84 km. Thus, the spatiotemporal variations of farmland SOCD in various landforms varied greatly. Over the past 36 years, SOCD variations were driven by a combination of intrinsic soil factors and external factors such as human disturbance. However, the driving effects of these factors on the landforms of hill–mountain, valley–basin, and plain–platform were quite different in size and order. Therefore, we suggest that topography must be considered when formulating policies to improve soil carbon sequestration, and priority should be given to landform-specific SOCD variation and the factors contributing to them.

复杂地形各种地貌中农田土壤有机碳的时空变化及其驱动因素
估算农田土壤有机碳密度(SOCD)的时空变化及其驱动因素对提高土壤固碳能力具有重要意义。本研究选取了丘陵-山地、河谷-盆地、平原-台地等地形复杂的大片区域作为研究对象。基于大量采样数据(57 254 个测量值)和 1:10 000 大比例尺土壤图(371 976 个多边形斑块),利用重心迁移模型和灰色关联模型对农田 SOCD 的时空变化和驱动因素进行了定量分析。结果表明,1982-2018年间,研究区农田土壤具有碳源和碳汇双重功能,其中碳源和碳汇功能分别占45.50%和54.50%。具体而言,整个研究区、丘陵-山地和河谷-盆地的SOCD分别从2.79 kg m、2.97 kg m和3.06 kg m增加到2.87 kg m、3.06 kg m和3.14 kg m,固碳量为0.08 kg m,SOCD重心向东北方向移动(角度:21.94°、23.56°和18.82°;距离:1.56 km、2.73 km和3.20 km)。平原平台的 SOCD 从 2.38 kg m(1982 年)增加到 2.45 kg m(2018 年),增加了 0.07 kg m,SOCD 重心向西南方向迁移,角度为 -172.46°,距离为 1.84 km。因此,各种地貌的农田 SOCD 时空变化差异很大。在过去 36 年中,SOCD 的变化是由土壤内在因素和人为干扰等外部因素共同驱动的。然而,这些因素对丘陵-山地、河谷-盆地和平原-台地地貌的驱动效应在大小和顺序上却大相径庭。因此,我们建议在制定提高土壤固碳能力的政策时必须考虑地形因素,并优先考虑地貌的 SOCD 变异及其成因。
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来源期刊
Soil & Tillage Research
Soil & Tillage Research 农林科学-土壤科学
CiteScore
13.00
自引率
6.20%
发文量
266
审稿时长
5 months
期刊介绍: Soil & Tillage Research examines the physical, chemical and biological changes in the soil caused by tillage and field traffic. Manuscripts will be considered on aspects of soil science, physics, technology, mechanization and applied engineering for a sustainable balance among productivity, environmental quality and profitability. The following are examples of suitable topics within the scope of the journal of Soil and Tillage Research: The agricultural and biosystems engineering associated with tillage (including no-tillage, reduced-tillage and direct drilling), irrigation and drainage, crops and crop rotations, fertilization, rehabilitation of mine spoils and processes used to modify soils. Soil change effects on establishment and yield of crops, growth of plants and roots, structure and erosion of soil, cycling of carbon and nutrients, greenhouse gas emissions, leaching, runoff and other processes that affect environmental quality. Characterization or modeling of tillage and field traffic responses, soil, climate, or topographic effects, soil deformation processes, tillage tools, traction devices, energy requirements, economics, surface and subsurface water quality effects, tillage effects on weed, pest and disease control, and their interactions.
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