A cost-effective method to map mangrove forest extent, composition, and condition in small islands based on Sentinel-2 data: Implications for management

Gema Casal*, Ewan Trégarot, Cindy C. Cornet, Tim McCarthy, Matthijs van der Geest

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Despite their ecological, economic, and social importance, mangrove ecosystems suffer from high levels of degradation caused by a combination of anthropogenic stressors and the effects of climate change. Their degradation inevitably reduces the provision of ecosystem services and ultimately impacts human well-being, especially in coastal communities of Small Islands Developing States (SIDS). To timely identify and manage stressors causing local mangrove degradation, in situ monitoring is required. However, the financial means and human capacity to do so are often limited in SIDS, hampering adequate management of their mangrove forests. In search of a cost-effective alternative, we evaluated the use of Sentinel-2 satellites to monitor mangrove extent and species distribution in Lac Bay, a bay located on the small tropical island of Bonaire (Caribbean Netherlands). We also evaluated the mangrove’s ecological condition through two biophysical variables 1) Effective Leaf Area Index (LAIe) and 2) Net Primary Productivity (NPP). Our results showed that Sentinel-2 data are a valuable tool for mapping the extent of mangrove forests in Bonaire and species composition (mean overall accuracy > 95 %). Using five Sentinel-2 images from 2021 and 2022, the extent of mangrove forests in Lac Bay was estimated to be on average 222.3 ha, of which 136.0 ha were classified as Rhizophora mangle (red mangrove) and 77.1 ha as Avicennia germinans (black mangrove). Mean values for predicted LAIe ranged from 3.37 to 3.85 for Lac Bay, with significantly higher values in the wet season (3.82 ± 0.57) compared to the dry season (3.40 ± 0.56). The generic Simplified Level-2 Prototype Processor (SL2P) underestimated the LAIe values in Lac Bay, with moderate differences between SL2P values and in situ data (BDE = 0.41, RMSE = 1.09). Mean NPP values were estimated to be 8.82 ± 1.46 (g Cm−2 d -1). LAIe and NPP maps showed a zonal distribution, with highest values in the mid-West and East on the seaward side, and lowest values in the northern landward part of Lac Bay. The method developed in this study provides a cost-effective way to monitor the extent, composition, and ecological condition of mangrove forests, which can be used by small island states to make informed decisions about the management and protection of mangrove ecosystems.
Original languageEnglish
Article number111696
JournalEcological Indicators
Volume159
DOIs
Publication statusPublished - 1 Feb 2024

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