State Key Laboratory of Nutrient Use and Management, College of Resources and Environmental Sciences, China Agricultural University, 100193 Beijing, China
Department of Plant Nutrition, Sanya Institute of China Agricultural University, 572025 Sanya, China
Tingyao Cai
State Key Laboratory of Nutrient Use and Management, College of Resources and Environmental Sciences, China Agricultural University, 100193 Beijing, China
Xingshuai Tian
State Key Laboratory of Nutrient Use and Management, College of Resources and Environmental Sciences, China Agricultural University, 100193 Beijing, China
Zhong Chen
State Key Laboratory of Nutrient Use and Management, College of Resources and Environmental Sciences, China Agricultural University, 100193 Beijing, China
Kai He
State Key Laboratory of Nutrient Use and Management, College of Resources and Environmental Sciences, China Agricultural University, 100193 Beijing, China
Zihan Wang
State Key Laboratory of Nutrient Use and Management, College of Resources and Environmental Sciences, China Agricultural University, 100193 Beijing, China
Haiqing Gong
State Key Laboratory of Nutrient Use and Management, College of Resources and Environmental Sciences, China Agricultural University, 100193 Beijing, China
Qi Miao
State Key Laboratory of Nutrient Use and Management, College of Resources and Environmental Sciences, China Agricultural University, 100193 Beijing, China
Yingcheng Wang
State Key Laboratory of Nutrient Use and Management, College of Resources and Environmental Sciences, China Agricultural University, 100193 Beijing, China
Yiyan Chu
State Key Laboratory of Nutrient Use and Management, College of Resources and Environmental Sciences, China Agricultural University, 100193 Beijing, China
State Key Laboratory of Nutrient Use and Management, College of Resources and Environmental Sciences, China Agricultural University, 100193 Beijing, China
Minghao Zhuang
State Key Laboratory of Nutrient Use and Management, College of Resources and Environmental Sciences, China Agricultural University, 100193 Beijing, China
State Key Laboratory of Nutrient Use and Management, College of Resources and Environmental Sciences, China Agricultural University, 100193 Beijing, China
State Key Laboratory of Nutrient Use and Management, College of Resources and Environmental Sciences, China Agricultural University, 100193 Beijing, China
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3,350
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4,235
195
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155
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PDF: 495
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Total: 4,235
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BibTeX: 93
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Cumulative views and downloads
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Total article views: 2,535 (including HTML, PDF, and XML)
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2,259
235
41
2,535
73
49
71
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PDF: 235
XML: 41
Total: 2,535
Supplement: 73
BibTeX: 49
EndNote: 71
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Total article views: 1,700 (including HTML, PDF, and XML)
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1,091
260
349
1,700
122
44
84
HTML: 1,091
PDF: 260
XML: 349
Total: 1,700
Supplement: 122
BibTeX: 44
EndNote: 84
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Total article views: 4,235 (including HTML, PDF, and XML)
Thereof 4,104 with geography defined
and 131 with unknown origin.
Total article views: 2,535 (including HTML, PDF, and XML)
Thereof 2,477 with geography defined
and 58 with unknown origin.
Total article views: 1,700 (including HTML, PDF, and XML)
Thereof 1,627 with geography defined
and 73 with unknown origin.
Accurately quantifying the distribution of soil profile SOC (soil organic carbon) stocks is crucial for carbon sequestration and mitigation. The detailed spatial subsoil SOC data are the scientific basis for environmental protection, as well as for the development of Earth system models. Based on multiple environmental variables and soil profile data, this study used machine learning approaches to evaluate the SOC stocks and their spatial distribution at a depth interval of 20–100 cm in various ecosystems.
Accurately quantifying the distribution of soil profile SOC (soil organic carbon) stocks is...