Widespread depletion of inorganic carbon in Europe's topsoil revealed by spatiotemporal digital soil mapping

IF 6.8 1区 农林科学 Q1 SOIL SCIENCE
Chenxu Zhu , Lin Yang , Ren Wei , Xiang Li , Chenconghai Yang , Wenkai Cui , Chenghu Zhou
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Abstract

As a critical yet overlooked carbon pool, soil inorganic carbon (SIC) links organic-inorganic processes in the global carbon cycle. However, large-scale assessments of SIC changes remain limited, restricting our knowledge of how and why SIC varies over years across broad spatial scale. In this study, we assessed the spatial distribution and temporal trends of surface SIC across the European Union and the United Kingdom using spatiotemporal digital soil mapping with 13,206 repeated Land Use and Coverage Area Frame Survey (LUCAS) samples (2009, 2015, and 2018). We developed a binary classification random forest (RF) model to detect SIC presence (area under curve = 0.94, F1 score = 0.90) followed by a regression RF model to predict SIC content (R2 = 0.57, Lin's consistent correlation coefficient = 0.64). The results revealed that surface SIC showed an average decline of 8.71 % from 2009 to 2018, with significant losses in Southern and Central Europe, reaching up to 50 % in coastal areas, while Spain’s Meseta Plateau increased. Spatially, SIC was concentrated in arid and semi-arid southern Europe, especially calcium-rich soils, but was nearly absent in humid northern soils. Shrubland exhibited the largest reductions of SIC, followed by cropland, while grassland and bare land showed slight increases. Soil pH emerged as the main driver of SIC changes, followed by Normalized Difference Vegetation Index, Topographic Wetness Index, Palmer Drought Severity Index, slope, and soil type. The study emphasizes the necessity of tracking SIC dynamics and supports the development of soil health monitoring frameworks and climate-smart land use strategies.
时空数字土壤制图揭示了欧洲表层土壤中无机碳的广泛消耗
土壤无机碳(SIC)作为一个重要的碳库,在全球碳循环中起着有机-无机过程的纽带作用。然而,对碳化硅变化的大规模评估仍然有限,限制了我们对碳化硅如何以及为什么在广泛的空间尺度上随时间变化的认识。在这项研究中,我们利用13206个重复土地利用和覆盖区域框架调查(LUCAS)样本(2009年、2015年和2018年)进行时空数字土壤制图,评估了欧盟和英国地表SIC的空间分布和时间趋势。我们建立了一个二元分类随机森林(RF)模型来检测SIC的存在(曲线下面积= 0.94,F1得分= 0.90),然后建立了一个回归RF模型来预测SIC的含量(R2 = 0.57, Lin’s一致相关系数= 0.64)。结果显示,从2009年到2018年,地表SIC平均下降8.71% %,南欧和中欧损失显著,沿海地区损失高达50% %,而西班牙的梅塞塔高原则有所增加。在空间上,碳化硅主要集中在干旱和半干旱的南欧,特别是富钙土壤,而在湿润的北部土壤中几乎不存在。灌丛土壤碳化硅减少幅度最大,农田次之,草地和裸地略有增加。土壤pH值是影响SIC变化的主要因素,其次是归一化植被指数、地形湿度指数、Palmer干旱严重程度指数、坡度和土壤类型。该研究强调了跟踪SIC动态的必要性,并支持土壤健康监测框架和气候智能型土地利用战略的发展。
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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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