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: 1,914 (including HTML, PDF, and XML)
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1,441
387
86
1,914
150
69
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HTML: 1,441
PDF: 387
XML: 86
Total: 1,914
Supplement: 150
BibTeX: 69
EndNote: 88
Views and downloads (calculated since 21 Feb 2023)
Cumulative views and downloads
(calculated since 21 Feb 2023)
Total article views: 896 (including HTML, PDF, and XML)
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EndNote
718
139
39
896
50
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66
HTML: 718
PDF: 139
XML: 39
Total: 896
Supplement: 50
BibTeX: 44
EndNote: 66
Views and downloads (calculated since 21 Feb 2024)
Cumulative views and downloads
(calculated since 21 Feb 2024)
Total article views: 1,018 (including HTML, PDF, and XML)
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723
248
47
1,018
100
25
22
HTML: 723
PDF: 248
XML: 47
Total: 1,018
Supplement: 100
BibTeX: 25
EndNote: 22
Views and downloads (calculated since 21 Feb 2023)
Cumulative views and downloads
(calculated since 21 Feb 2023)
Viewed (geographical distribution)
Total article views: 1,914 (including HTML, PDF, and XML)
Thereof 1,865 with geography defined
and 49 with unknown origin.
Total article views: 896 (including HTML, PDF, and XML)
Thereof 879 with geography defined
and 17 with unknown origin.
Total article views: 1,018 (including HTML, PDF, and XML)
Thereof 986 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...
