Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 100101 Beijing, China
Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystems and Guangdong Provincial Key Laboratory of Applied Botany, South China Botanical Garden, Chinese Academy of Sciences, 510650 Guangzhou, China
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3,544
1,274
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4,917
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PDF: 1,274
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Cumulative views and downloads
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Total article views: 3,012 (including HTML, PDF, and XML)
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2,244
702
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3,012
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PDF: 702
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Total: 3,012
Supplement: 182
BibTeX: 86
EndNote: 109
Views and downloads (calculated since 11 Oct 2023)
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Total article views: 1,905 (including HTML, PDF, and XML)
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1,300
572
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1,905
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Total: 1,905
Supplement: 158
BibTeX: 18
EndNote: 20
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Cumulative views and downloads
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Viewed (geographical distribution)
Total article views: 4,917 (including HTML, PDF, and XML)
Thereof 4,893 with geography defined
and 24 with unknown origin.
Total article views: 3,012 (including HTML, PDF, and XML)
Thereof 3,002 with geography defined
and 10 with unknown origin.
Total article views: 1,905 (including HTML, PDF, and XML)
Thereof 1,891 with geography defined
and 14 with unknown origin.
We identified total soil P concentration as the most important predictor of all soil P pool concentrations, except for primary mineral P concentration, which is primarily controlled by soil pH and only secondarily by total soil P concentration. We predicted soil P pools’ distributions in natural systems, which can inform assessments of the role of natural P availability for ecosystem productivity, climate change mitigation, and the functioning of the Earth system.
We identified total soil P concentration as the most important predictor of all soil P pool...
