Department of Mathematics and Statistics, Faculty of Environment, Science and Economy, University of Exeter, Laver Building, North Park Road, Exeter, EX4 4QE, UK
Department of Mathematics and Statistics, Faculty of Environment, Science and Economy, University of Exeter, Laver Building, North Park Road, Exeter, EX4 4QE, UK
Department of Mathematics and Statistics, Faculty of Environment, Science and Economy, University of Exeter, Laver Building, North Park Road, Exeter, EX4 4QE, UK
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6,155
2,031
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8,315
427
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172
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PDF: 2,031
XML: 129
Total: 8,315
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BibTeX: 134
EndNote: 172
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Cumulative views and downloads
(calculated since 24 Jan 2022)
Total article views: 6,799 (including HTML, PDF, and XML)
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5,309
1,382
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6,799
191
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151
HTML: 5,309
PDF: 1,382
XML: 108
Total: 6,799
Supplement: 191
BibTeX: 116
EndNote: 151
Views and downloads (calculated since 05 Oct 2022)
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Total article views: 1,516 (including HTML, PDF, and XML)
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846
649
21
1,516
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Total: 1,516
Supplement: 236
BibTeX: 18
EndNote: 21
Views and downloads (calculated since 24 Jan 2022)
Cumulative views and downloads
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Viewed (geographical distribution)
Total article views: 8,315 (including HTML, PDF, and XML)
Thereof 7,930 with geography defined
and 385 with unknown origin.
Total article views: 6,799 (including HTML, PDF, and XML)
Thereof 6,461 with geography defined
and 338 with unknown origin.
Total article views: 1,516 (including HTML, PDF, and XML)
Thereof 1,469 with geography defined
and 47 with unknown origin.
Soil carbon is the Earth’s largest terrestrial carbon store, and the response to climate change represents one of the key uncertainties in obtaining accurate global carbon budgets required to successfully militate against climate change. The ability of climate models to simulate present-day soil carbon is therefore vital. This study assesses soil carbon simulation in the latest ensemble of models which allows key areas for future model development to be identified.
Soil carbon is the Earth’s largest terrestrial carbon store, and the response to climate...
