2020
DOI: 10.1016/j.scitotenv.2020.136534
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Estimating burn severity and carbon emissions from a historic megafire in boreal forests of China

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Cited by 24 publications
(12 citation statements)
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“…Future emissions from fires are difficult to predict, and here more work is needed. For example, emissions from functionally uncontrollable fires in boreal forests are not well quantified due to uncertainties in combustion efficiency observations and estimates (Xu et al, 2020). Improving our understanding of the future of Arctic fires and fire emissions will also allow us to better predict future Earth system processes -both at high latitudes and globally.…”
Section: Discussionmentioning
confidence: 99%
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“…Future emissions from fires are difficult to predict, and here more work is needed. For example, emissions from functionally uncontrollable fires in boreal forests are not well quantified due to uncertainties in combustion efficiency observations and estimates (Xu et al, 2020). Improving our understanding of the future of Arctic fires and fire emissions will also allow us to better predict future Earth system processes -both at high latitudes and globally.…”
Section: Discussionmentioning
confidence: 99%
“…in Siberia. For instance, recent work in the Sakha Republic found that a 36 km 2 wildfire in an open larch with shrub and moss lichen landscape northwest of the Batagaika megaslump resulted in approximately 3.5 million cubic metres of thawed permafrost 5 years later (Yanagiya and Furuya, 2020). Likewise, uncertainties persist for post-fire permafrost resiliency in the boreal forests of eastern Canadian, like Quebec and Labrador (Holloway et al, 2020).…”
Section: Permafrostmentioning
confidence: 99%
“…Future emissions from fires are difficult to predict and here more work is needed. For example, emissions from functionally uncontrollable fires in boreal forests are not well quantified due to uncertainties in combustion efficiency observations and estimates (Xu et al, 2020).…”
Section: Discussionmentioning
confidence: 99%
“…Despite the influence of soil background signal and transferability issues that may hinder the performance of Normalized Burn Ratio (NBR)-based indices in burn severity initial assessments [21,59,60], threshold-based classification of the differenced NBR (dNBR; [61]) index is the most widely accepted approach for this purpose [62,63]. In fact, the dNBR is the primary spectral index within the Rapid Damage Assessment (RDA) module of European Forest Fire Information System (EFFIS) and the Monitoring Trends in Burn Severity (MTBS) project (together with RdNBR; [64]) in the United States.…”
Section: Burn Severity Mappingmentioning
confidence: 99%