Chenxu Zhu , Lin Yang , Ren Wei , Xiang Li , Chenconghai Yang , Wenkai Cui , Chenghu Zhou
{"title":"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","authors":"Chenxu Zhu , Lin Yang , Ren Wei , Xiang Li , Chenconghai Yang , Wenkai Cui , Chenghu Zhou","doi":"10.1016/j.still.2025.106864","DOIUrl":null,"url":null,"abstract":"<div><div>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 (R<sup>2</sup> = 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.</div></div>","PeriodicalId":49503,"journal":{"name":"Soil & Tillage Research","volume":"256 ","pages":"Article 106864"},"PeriodicalIF":6.8000,"publicationDate":"2025-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Widespread depletion of inorganic carbon in Europe's topsoil revealed by spatiotemporal digital soil mapping\",\"authors\":\"Chenxu Zhu , Lin Yang , Ren Wei , Xiang Li , Chenconghai Yang , Wenkai Cui , Chenghu Zhou\",\"doi\":\"10.1016/j.still.2025.106864\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>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 (R<sup>2</sup> = 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.</div></div>\",\"PeriodicalId\":49503,\"journal\":{\"name\":\"Soil & Tillage Research\",\"volume\":\"256 \",\"pages\":\"Article 106864\"},\"PeriodicalIF\":6.8000,\"publicationDate\":\"2025-09-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Soil & Tillage Research\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0167198725004180\",\"RegionNum\":1,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"SOIL SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Soil & Tillage Research","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0167198725004180","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SOIL SCIENCE","Score":null,"Total":0}
Widespread depletion of inorganic carbon in Europe's topsoil revealed by spatiotemporal digital soil mapping
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.
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.