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Open AccessArticle

Contextualizing Mangrove Forest Deforestation in Southeast Asia Using Environmental and Socio-Economic Data Products

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Department of Geodesy and Geomatics, Remote Sensing and Geographic Information Science Research Group, Faculty of Earth Science and Technology, Institut Teknologi Bandung, Bandung 40132, Indonesia
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Center for Remote Sensing, Institut Teknologi Bandung, Bandung 40132, Indonesia
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Geomatics Engineering, Department of Regional and Infrastructure Technology, Institut Teknologi Sumatera, Lampung Selatan 35365, Indonesia
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Department of Natural Resource Conservation and Ecotourism, Faculty of Forestry, IPB University, Bogor 16680, Indonesia
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Department of Biology, Universitas Airlangga, Surabaya 60286, Indonesia
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Department of Geographic Information Science, Faculty of Geography, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia
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Author to whom correspondence should be addressed.
Forests 2019, 10(11), 952; https://doi.org/10.3390/f10110952
Received: 26 September 2019 / Revised: 15 October 2019 / Accepted: 23 October 2019 / Published: 25 October 2019
(This article belongs to the Section Forest Inventory, Modeling and Remote Sensing)
Research Highlights: This paper provides an alternative approach to contextualize mangrove forest loss by integrating available environmental and socio-economic data sets and products. Background and Objectives: Mangrove forest ecosystems grow in brackish water especially in areas exposed to accumulation of organic matter and tides. This forest type is widely distributed in tropical and subtropical coastal areas. Recent studies have revealed that the mangrove forest ecosystem had significantly degraded due to Land Use and Cover Changes (LUCC) in the recent past. Therefore, contribution of mangrove deforestation drivers has to be assessed to ensure a comprehensive analysis for ecosystem conservation and restoration and facilitate decision making. Materials and Methods: Firstly, a correlation analysis was conducted between individual data products and mangrove deforestation. Each data product was associated with the Dominant Land Use of Deforested Mangrove Patches data for 2012. Next, calculations were performed for specific data combinations to estimate the contributions of anthropogenic factors to mangrove deforestation. Results: In general, our study revealed that 22.64% of the total deforested area was converted into agriculture, 5.85% was converted into aquaculture, 0.69% was converted into infrastructure, and 16.35% was not converted into any specific land use class but was still affected by other human activities. Conclusions: We discovered that the percentage of land affected by these anthropogenic factors varied between countries and regions. This research can facilitate trade-off analysis for natural resources and environmental sustainability policy studies. Diverse management strategies can be evaluated to assess the trade-offs between preserving mangrove forests for climate change mitigation and transforming them for economic purposes. View Full-Text
Keywords: mangrove; deforestation; Southeast Asia; GIS; wetlands; land use land cover change; ecosystem conservation mangrove; deforestation; Southeast Asia; GIS; wetlands; land use land cover change; ecosystem conservation
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MDPI and ACS Style

Fauzi, A.; Sakti, A.; Yayusman, L.; Harto, A.; Prasetyo, L.; Irawan, B.; Kamal, M.; Wikantika, K. Contextualizing Mangrove Forest Deforestation in Southeast Asia Using Environmental and Socio-Economic Data Products. Forests 2019, 10, 952. https://doi.org/10.3390/f10110952

AMA Style

Fauzi A, Sakti A, Yayusman L, Harto A, Prasetyo L, Irawan B, Kamal M, Wikantika K. Contextualizing Mangrove Forest Deforestation in Southeast Asia Using Environmental and Socio-Economic Data Products. Forests. 2019; 10(11):952. https://doi.org/10.3390/f10110952

Chicago/Turabian Style

Fauzi, Adam; Sakti, Anjar; Yayusman, Lissa; Harto, Agung; Prasetyo, Lilik; Irawan, Bambang; Kamal, Muhammad; Wikantika, Ketut. 2019. "Contextualizing Mangrove Forest Deforestation in Southeast Asia Using Environmental and Socio-Economic Data Products" Forests 10, no. 11: 952. https://doi.org/10.3390/f10110952

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