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• W4295539703 abstract "Mangroves are highly productive forest ecosystems recognized for several ecosystem services like carbon sequestration and coastal protection that can help in climate change adaptation and mitigation. Globally, mangrove forests have decreased and have become fragmented, especially in Southeast Asia where conversion to aquaculture ponds (AP) was the major driver of loss. When disturbed, mangroves can naturally recolonize their habitat. However, documentation and assessment of natural mangrove recolonization in former AP are largely unreported. Hence, in this study, we developed a methodology that detected and mapped mangroves in AP in Panguil Bay, southern Philippines. Using Landsat data and Google Earth Engine (GEE), we analyzed spatiotemporal mangrove distribution and extent in AP from 1993 to 2020. In general, the increase in mangrove cover was directly correlated to the decrease in AP. However, different rates and patterns of mangrove colonization in different periods were observed. Mangrove-recolonized ponds (MRPs) were ca. 25% (10.24 km2) of the total mangrove area (40.20 km2) in 2020. To our knowledge, this study showed the first mapping of mangrove recolonization in AP in the Philippines. The developed methodology used open access Landsat data on a cloud-based processing platform, which can be replicated in other regions for large-scale mangrove scenario planning and policy-making. Upscaling the developed methodology can provide national-level MRP information that can be used for evaluating the success of mangrove rehabilitation programs." @default.
• W4295539703 created "2022-09-14" @default.
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• W4295539703 date "2022-01-01" @default.
• W4295539703 modified "2023-10-18" @default.
• W4295539703 title "Assessment of Mangrove Colonization of Aquaculture Ponds Through Satellite Image Analysis: Implications for Mangrove Management" @default.
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• W4295539703 doi "https://doi.org/10.1007/978-981-19-2738-6_3" @default.
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