Fire Hotspot and Particulate Matter (Pm2.5) Distribution Patterns In Tropical Rainforest Ecosystems Of Batanghari River Basin In July 2021

Authors

  • Andrio A Wibowo University of Indonesia, Depok, West Java, Indonesia
  • Adi Basukriadi
  • Erwin Nurdin

DOI:

https://doi.org/10.21776/ub.biotropika.2022.010.01.05

Keywords:

basin, fire, hotspot, PM2.5, rainforest

Abstract

Rainforest in the Batanghari River basin is one of the tropical ecosystems that currently is threatened by deforestation, slash and burn swidden farming that lead to the increased numbers of fire hotspots. The fire hotspots are high in midyear during the dry season when a swidden farming activity starts. Then this study aims to assess the distribution of fire hotspots and its impact in the form of PM2.5 contents. The study was conducted in the rainforest of the Batanghari River basin in midyear in July 2021. The methods to classify the rainforest covers and to detect fire hotspots and PM2.5 contents were based on remote sensing and GIS analysis using Landsat 8 OLI, VIIRS, and MODIS remote sensing imageries. The result showed increasing trends of daily fire hotspot numbers in the rainforest of the Batanghari River basin for one month in July 2021. There were significant differences in the daily average of fire hotspots based on the week (P = 0.006, F = 8.677). The daily average of hotspots in the first week of July 2021 was 1.333 hotspots (95%CI: 0-3.94 hotspots). Whereas in the third and fourth weeks, there were sharp increases in the daily average of hotspots. In the third week, the average of hotspots was 4.333 hotspots (95%CI: 0-9.04 hotspots) and increased almost threefold in the fourth week with 11.000 hotspots (95%CI: 7.61-14.4 hotspots). In the areas where the fire hotspots have occurred, the PM2.5 contents ranged from 30 to 80 μg/m3.

Author Biography

Andrio A Wibowo, University of Indonesia, Depok, West Java, Indonesia

Biology Department

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Utami N, Sapei A, Apip (2017) Land use change Assessment and its Demand Projection in Batanghari River Basin, Sumatera, Indonesia. Limnotek 24(2): 52-60

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Gustiandi B, Monica D, Indradjad A (2020) Automatic NOAA JPSS satellite series data processing system to produce active fires information. Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital 17(1): 43-55.

Xu X, Zhang C (2020) Estimation of ground-level PM2.5 concentration using MODIS AOD and corrected regression model over Beijing, China. PLoS ONE 15(10): e0240430

Bai H, Zheng Z, Zhang Y, Huang H, Wang L. (2021) Comparison of satellite-based PM2.5 estimation from aerosol optical depth and top-of-atmosphere reflectance. Aerosol Air Qual. Res. 21: 200257.

Tarigan S (2016) Land cover change and its impact on flooding frequency of Batanghari Watershed, Jambi Province, Indonesia. In Proceding of Procedia Environmental Sciences. 33. pp. 386-392.

Tacconi L, Vayda A (2006) Slash and burn and fires in Indonesia: A comment. Ecological Economics 56: 1-4.

Ketterings Q, Wibowo T,Van Noordwijk M, Penot E (1999) Farmers' perspectives on slash-and-burn as a land clearing method for small-scale rubber producers in Sepunggur, Jambi Province, Sumatra, Indonesia. Forest Ecology and Management 120: 157-169.

Bowman DMJS (2009) Fire in the Earth system. Science 324: 481–485.

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Published

2022-03-31

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