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: 1,789 (including HTML, PDF, and XML)
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1,351
357
81
1,789
127
58
80
HTML: 1,351
PDF: 357
XML: 81
Total: 1,789
Supplement: 127
BibTeX: 58
EndNote: 80
Views and downloads (calculated since 21 Feb 2023)
Cumulative views and downloads
(calculated since 21 Feb 2023)
Total article views: 784 (including HTML, PDF, and XML)
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EndNote
633
117
34
784
39
33
58
HTML: 633
PDF: 117
XML: 34
Total: 784
Supplement: 39
BibTeX: 33
EndNote: 58
Views and downloads (calculated since 21 Feb 2024)
Cumulative views and downloads
(calculated since 21 Feb 2024)
Total article views: 1,005 (including HTML, PDF, and XML)
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718
240
47
1,005
88
25
22
HTML: 718
PDF: 240
XML: 47
Total: 1,005
Supplement: 88
BibTeX: 25
EndNote: 22
Views and downloads (calculated since 21 Feb 2023)
Cumulative views and downloads
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Viewed (geographical distribution)
Total article views: 1,789 (including HTML, PDF, and XML)
Thereof 1,740 with geography defined
and 49 with unknown origin.
Total article views: 784 (including HTML, PDF, and XML)
Thereof 769 with geography defined
and 15 with unknown origin.
Total article views: 1,005 (including HTML, PDF, and XML)
Thereof 971 with geography defined
and 34 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...
