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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1,829
634
106
2,569
238
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183
HTML: 1,829
PDF: 634
XML: 106
Total: 2,569
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BibTeX: 109
EndNote: 183
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Cumulative views and downloads
(calculated since 21 Feb 2023)
Total article views: 1,394 (including HTML, PDF, and XML)
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1,074
263
57
1,394
100
81
157
HTML: 1,074
PDF: 263
XML: 57
Total: 1,394
Supplement: 100
BibTeX: 81
EndNote: 157
Views and downloads (calculated since 21 Feb 2024)
Cumulative views and downloads
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Total article views: 1,175 (including HTML, PDF, and XML)
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755
371
49
1,175
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26
HTML: 755
PDF: 371
XML: 49
Total: 1,175
Supplement: 138
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: 2,569 (including HTML, PDF, and XML)
Thereof 2,508 with geography defined
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Total article views: 1,394 (including HTML, PDF, and XML)
Thereof 1,365 with geography defined
and 29 with unknown origin.
Total article views: 1,175 (including HTML, PDF, and XML)
Thereof 1,143 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...