Evidence map›Paper›PMID 36309590›Full record

ArticleScientific reports2022

Spatial variations in vegetation fires and emissions in South and Southeast Asia during COVID-19 and pre-pandemic.

Krishna Vadrevu, Aditya Eaturu, Emily Casadaban, Kristofer Lasko, Wilfrid Schroeder, Sumalika Biswas, Louis Giglio, Chris Justice

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Krishna VadrevuNASA Marshall Space Flight Center, Huntsville, Alabama, 35811, USA. krishna.p.vadrevu@nasa.gov.
Aditya EaturuUniversity of Alabama in Huntsville, Huntsville, AL, USA.
Emily CasadabanUniversity of Alabama in Huntsville, Huntsville, AL, USA.
Kristofer LaskoGeospatial Research Laboratory, Engineer Research and Development Center, U.S. Army Corps of Engineers, Alexandria, VA, USA.
Wilfrid SchroederNOAA NESDIS, College Park, Maryland, 20740, USA.
Sumalika BiswasUniversity of California Los Angeles, Los Angeles, USA.
Louis GiglioUniversity of Maryland, College Park, Maryland, 20742, USA.
Chris JusticeUniversity of Maryland, College Park, Maryland, 20742, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vegetation fires are common in South/Southeast Asian (SA/SEA) countries. However, very few studies focused on vegetation fires and the changes during the COVID as compared to pre-pandemic. This study fills an information gap and reports total fire incidences, total burnt area, type of vegetation burnt, and total particulate matter emission variations in SA/SEA during COVID-2020 and pre-pandemic (2012-2019). Results from the short-term 2020-COVID versus 2019-non-COVID year showed a decline in fire counts varying from - 2.88 to 79.43% in S/SEA. The exceptions in South Asia include Afghanistan and Sri Lanka, with a 152% and 4.9% increase, and Cambodia and Myanmar in Southeast Asia, with an 11.1% and 8.5% increase in fire counts in the 2020-COVID year. The burnt area decline for 2020 compared to 2019 varied from - 0.8% to 92% for South/Southeast Asian countries, with most burning in agricultural landscapes than forests. Several patches in S/SEA showed a decrease in fires for the 2020 pandemic year compared to long term 2012-2020 pre-pandemic record, with Z scores greater or less than two denoting statistical significance. However, on a country scale, the results were not statistically significant in both S/SEA, with Z scores ranging from - 0.24 to - 1, although most countries experienced a decrease in fire counts. The associated mean TPM emissions declined from ~ 2.31 Tg (0.73stdev) during 2012-2019 to 2.0 (0.65stdev)Tg in 2020 in South Asia and 6.83 (0.70stdev)Tg during 2012-2019 to 5.71 (0.69 stdev)Tg in 2020 for South East Asian countries. The study highlights variations in fires and emissions useful for fire management and mitigation.

Indexed as

COVID-19FiresAsia, SoutheasternForestsHumansPandemics

Identifiers

PMID36309590
PMCPMC9617248

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.