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  A two-decade analysis of the spatial and temporal variations in burned areas across Zimbabwe

Shekede, M. D., Kusangaya, S., Chavava, C. B., Gwitira, I., & Chemura, A. (2024). A two-decade analysis of the spatial and temporal variations in burned areas across Zimbabwe. PLOS Climate, 3(1):. doi:10.1371/journal.pclm.0000201.

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資料種別: 学術論文

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journal.pclm.0000201.pdf (出版社版), 5MB
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journal.pclm.0000201.pdf
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 作成者:
Shekede, Munyaradzi Davis1, 著者
Kusangaya, Samuel1, 著者
Chavava, Courage B.1, 著者
Gwitira, Isaiah1, 著者
Chemura, Abel2, 著者              
Giannini, Alessandra1, 編集者
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1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 要旨: Understanding wildfire dynamics in space and over time is critical for wildfire control and management. In this study, fire data from European Space Agency (ESA) MODIS fire product (ESA/CCI/FireCCI/5_1) with ≥ 70% confidence level was used to characterise spatial and temporal variation in fire frequency in Zimbabwe between 2001 and 2020. Results showed that burned area increased by 16% from 3,689 km2 in 2001 to 6,130 km2 in 2011 and decreased in subsequent years reaching its lowest in 2020 (1,161km2). Over, the 20-year period, an average of 40,086.56 km2 of land was burned annually across the country. In addition, results of the regression analysis based on Generalised Linear Model illustrated that soil moisture, wind speed and temperature significantly explained variation in burned area. Moreover, the four-year lagged annual rainfall was positively related with burned area suggesting that some parts in the country (southern and western) are characterised by limited herbaceous production thereby increasing the time required for the accumulation of sufficient fuel load. The study identified major fire hotspots in Zimbabwe through the integration of remotely sensed fire data within a spatially analytical framework. This can provide useful insights into fire evolution which can be used to guide wildfire control and management in fire prone ecosystems. Moreover, resource allocation for fire management and mitigation can be optimised through targeting areas most affected by wildfires especially during the dry season where wildfire activity is at its peak.

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言語: eng - 英語
 日付: 2023-03-232023-12-022024-01-172024-01-17
 出版の状態: Finally published
 ページ: 20
 出版情報: -
 目次: -
 査読: 査読あり
 識別子(DOI, ISBNなど): DOI: 10.1371/journal.pclm.0000201
Organisational keyword: RD2 - Climate Resilience
PIKDOMAIN: RD2 - Climate Resilience
Working Group: Adaptation in Agricultural Systems
MDB-ID: No data to archive
Research topic keyword: Food & Agriculture
Research topic keyword: Adaptation
Regional keyword: Africa
Model / method: Quantitative Methods
OATYPE: Gold Open Access
 学位: -

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出版物 1

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出版物名: PLOS Climate
種別: 学術雑誌, other, oa
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出版社, 出版地: -
ページ: - 巻号: 3 (1) 通巻号: e0000201 開始・終了ページ: - 識別子(ISBN, ISSN, DOIなど): CoNE: https://publications.pik-potsdam.de/cone/journals/resource/2767-3200
Publisher: Public Library of Science (PLoS)