In one paragraphArticle in Global change biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from itWhat it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registryThe trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
3 · Its place in the literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
22 authors.
Yuchen WeiState Key Laboratory of Soil Pollution Control and Safety, Zhejiang Key Laboratory of Agricultural Remote Sensing and Information Technology, Ministry of Education Key Laboratory of Environment Remediation and Ecological Health, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China.ORCID 0000-0002-0183-5398 Xin ZhaoCollege of Agronomy and Biotechnology, China Agricultural University, Key Laboratory of Farming System, Ministry of Agriculture and Rural Affairs of the People's Republic of China, Beijing, China.ORCID 0000-0002-2977-6430 Hongyong SunKey Laboratory of Agricultural Water Resources, Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang, China.ORCID 0000-0002-5132-7738 Jinfeng ChangState Key Laboratory of Soil Pollution Control and Safety, Zhejiang Key Laboratory of Agricultural Remote Sensing and Information Technology, Ministry of Education Key Laboratory of Environment Remediation and Ecological Health, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China.ORCID 0000-0003-4463-7778 Hong ChenState Key Laboratory of Soil Pollution Control and Safety, Zhejiang Key Laboratory of Agricultural Remote Sensing and Information Technology, Ministry of Education Key Laboratory of Environment Remediation and Ecological Health, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China.
Ji ChenState Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, China.ORCID 0000-0001-7026-6312 Feng LiuState Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, China.ORCID 0000-0002-7618-9095 Alain F PlanteDepartment of Earth & Environmental Science, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID 0000-0003-0124-6187 Zhou ShiState Key Laboratory of Soil Pollution Control and Safety, Zhejiang Key Laboratory of Agricultural Remote Sensing and Information Technology, Ministry of Education Key Laboratory of Environment Remediation and Ecological Health, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China.ORCID 0000-0003-3914-5402 Zhaoliang SongTianjin Key Laboratory of Earth Critical Zone Science and Sustainable Development in Bohai Rim, Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin, China.ORCID 0000-0002-2219-5852 Raphael A Viscarra RosselSoil & Landscape Science, School of Molecular and Life Sciences, Curtin University, Perth, WA, Australia.ORCID 0000-0003-1540-4748 Lewis WaldenSoil & Landscape Science, School of Molecular and Life Sciences, Curtin University, Perth, WA, Australia.ORCID 0000-0001-9714-3603 Mingming WangState Key Laboratory of Soil Pollution Control and Safety, Zhejiang Key Laboratory of Agricultural Remote Sensing and Information Technology, Ministry of Education Key Laboratory of Environment Remediation and Ecological Health, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China.ORCID 0000-0002-1094-1029 Liujun XiaoNational Engineering and Technology Center for Information Agriculture, Engineering Research Center for Smart Agriculture, Ministry of Education, Key Laboratory for Crop System Analysis and Decision Making, Ministry of Agriculture and Rural Affairs, Jiangsu Key Laboratory for Information Agriculture, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, Jiangsu, China.ORCID 0000-0002-1900-1586 Su YeState Key Laboratory of Soil Pollution Control and Safety, Zhejiang Key Laboratory of Agricultural Remote Sensing and Information Technology, Ministry of Education Key Laboratory of Environment Remediation and Ecological Health, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China.ORCID 0000-0001-5910-1082 Shuai ZhangState Key Laboratory of Soil Pollution Control and Safety, Zhejiang Key Laboratory of Agricultural Remote Sensing and Information Technology, Ministry of Education Key Laboratory of Environment Remediation and Ecological Health, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China.ORCID 0000-0003-0388-6989 Hangxin ZhouState Key Laboratory of Soil Pollution Control and Safety, Zhejiang Key Laboratory of Agricultural Remote Sensing and Information Technology, Ministry of Education Key Laboratory of Environment Remediation and Ecological Health, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China.ORCID 0000-0002-2072-882X Zhongkui LuoState Key Laboratory of Soil Pollution Control and Safety, Zhejiang Key Laboratory of Agricultural Remote Sensing and Information Technology, Ministry of Education Key Laboratory of Environment Remediation and Ecological Health, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China.ORCID 0000-0002-6744-6491 Funding
Fundamental and Interdisciplinary Disciplines Breakthrough Plan of the Ministry of Education of China JYB2025XDXM909National Natural Science Foundation of ChinaNational Natural Science Foundation of China 32241036National Natural Science Foundation of China 42225101Natural Science Foundation of Zhejiang Province LZ25D030001
6 · The paper itselfAbstract
Soil organic carbon (SOC) underpins agricultural sustainability and the terrestrial carbon cycle, yet its vertical distribution and stabilization across soil depth remain poorly constrained at large spatial scales. Here, we present a nationwide, depth-resolved dataset of SOC and mineral-associated organic carbon (MAOC)-the more persistent SOC fraction-from 365 dryland cropland sites across China, sampled to 2 m depth. Contrary to the classic model of exponential SOC decline, 46% of profiles exhibited uniform or increasing SOC and MAOC with depth, highlighting a substantial role of subsoil carbon. MAOC accounted for more than half of total SOC in most layers, but its relative contribution declined below 1 m, challenging the assumption that subsoil carbon is inherently more stable. Clay + silt content was the strongest predictor for SOC, MAOC, and MAOC/SOC across depths, while vegetation productivity, a proxy for carbon inputs, was positively associated with all three. The influence of clay + silt on MAOC accumulation weakened with depth, and the positive interaction between vegetation productivity and clay + silt weakened or diminished from surface soils to deeper layers. These patterns indicate a transition from joint regulation by carbon inputs and mineral surfaces in surface soils toward an increasingly input-limited regime in deeper layers, as inferred from the depth-dependent changes in the relative importance of vegetation productivity and fine particle content. National mapping estimated ~19.9 Pg SOC stored within the 0-2 m layer in China's dryland croplands, with 75% below 0.3 m and 60% stabilized as MAOC. These results provide a benchmark for depth-explicit SOC accounting and highlight the importance of aligning carbon inputs with soil mineralogy to enhance whole-profile carbon stabilization and climate mitigation.
Indexed as
CarbonCarbon CycleSoilAgricultureChinaCrops, AgriculturalCarbonSoilagricultural managementcarbon sequestrationdeep soilmineral‐associated fractionsoil organic carbon
Identifiers
PMID42572468
PMCPMC13454778
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