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: 1,993 (including HTML, PDF, and XML)
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1,497
409
87
1,993
165
75
92
HTML: 1,497
PDF: 409
XML: 87
Total: 1,993
Supplement: 165
BibTeX: 75
EndNote: 92
Views and downloads (calculated since 21 Feb 2023)
Cumulative views and downloads
(calculated since 21 Feb 2023)
Total article views: 961 (including HTML, PDF, and XML)
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769
152
40
961
59
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HTML: 769
PDF: 152
XML: 40
Total: 961
Supplement: 59
BibTeX: 50
EndNote: 70
Views and downloads (calculated since 21 Feb 2024)
Cumulative views and downloads
(calculated since 21 Feb 2024)
Total article views: 1,032 (including HTML, PDF, and XML)
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728
257
47
1,032
106
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22
HTML: 728
PDF: 257
XML: 47
Total: 1,032
Supplement: 106
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: 1,993 (including HTML, PDF, and XML)
Thereof 1,942 with geography defined
and 51 with unknown origin.
Total article views: 961 (including HTML, PDF, and XML)
Thereof 942 with geography defined
and 19 with unknown origin.
Total article views: 1,032 (including HTML, PDF, and XML)
Thereof 1,000 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...
