Institute for a Secure and Sustainable Environment and Department of Industrial and Systems Engineering, University of Tennessee, Knoxville, TN 37996, USA
Department of Biological & Agricultural Engineering, University of Arkansas, Fayetteville, AR 72701, USA
Institute for a Secure and Sustainable Environment and Department of Industrial and Systems Engineering, University of Tennessee, Knoxville, TN 37996, USA
Department of Biology and Graduate Degree Program in Ecology, Colorado State University, Fort Collins, CO 80523, USA
Yulong Zhang
Institute for a Secure and Sustainable Environment and Department of Industrial and Systems Engineering, University of Tennessee, Knoxville, TN 37996, USA
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Total article views: 2,615 (including HTML, PDF, and XML)
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1,852
652
111
2,615
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184
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PDF: 652
XML: 111
Total: 2,615
Supplement: 243
BibTeX: 113
EndNote: 184
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Cumulative views and downloads
(calculated since 21 Feb 2023)
Total article views: 1,434 (including HTML, PDF, and XML)
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EndNote
1,096
276
62
1,434
100
85
158
HTML: 1,096
PDF: 276
XML: 62
Total: 1,434
Supplement: 100
BibTeX: 85
EndNote: 158
Views and downloads (calculated since 21 Feb 2024)
Cumulative views and downloads
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Total article views: 1,181 (including HTML, PDF, and XML)
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756
376
49
1,181
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HTML: 756
PDF: 376
XML: 49
Total: 1,181
Supplement: 143
BibTeX: 28
EndNote: 26
Views and downloads (calculated since 21 Feb 2023)
Cumulative views and downloads
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Viewed (geographical distribution)
Total article views: 2,615 (including HTML, PDF, and XML)
Thereof 2,552 with geography defined
and 63 with unknown origin.
Total article views: 1,434 (including HTML, PDF, and XML)
Thereof 1,403 with geography defined
and 31 with unknown origin.
Total article views: 1,181 (including HTML, PDF, and XML)
Thereof 1,149 with geography defined
and 32 with unknown origin.
Carbon-rich boreal peatlands are at risk of burning. The reproducibility and predictability of rare peatland fire events are investigated by constructing a two-step error-correcting machine learning framework to tackle such complex systems. Fire occurrence and impacts are highly predictable with our approach. Factor-controlling simulations revealed that temperature, moisture, and freeze–thaw cycles control boreal peatland fires, indicating thermal impacts on causing peat fires.
Carbon-rich boreal peatlands are at risk of burning. The reproducibility and predictability of...