Sea-level rise in Benin coastal zones leads to risks of erosion and flooding, which have significant consequences on the socio-economic life of the local population. In this paper, erosion, flood risk, and greenhouse gas sequestration resulting from sea-level rise in the coastal zone of the Benin coast were assessed with the Sea Level Affecting Marshes Model (SLAMM) using ArcGIS Pro 3.1 tools. The input features used were the Digital Elevation Map (DEM), the National Wetland Inventory (NWI) categories, and the slope of each cell. National Wetland Inventory (NWI) categories were then created using Support Vector Machines (SVMs), a supervised machine learning technique. The research simulated the effects of a 1.468 m sea-level rise in the study area from 2021 to 2090, considering wetland types, marsh accretion, wave erosion, and surface elevation changes. The largest land cover increases were observed in Estuarine Open Water and Open Ocean, expanding by approximately 106.2 hectares across different sea-level rise scenarios (RCP 8.5_Upper Limit). These gains were counterbalanced by losses of approximately 106.2 hectares in Inland Open Water, Ocean Beaches, Mangroves, Regularly Flooded Marsh, Swamp, Undeveloped, and Developed Dryland. Notably, Estuarine Open Water (97.7 hectares) and Open Ocean (8.5 hectares) experienced the most significant expansion, indicating submergence and saltwater intrusion by 2090 due to sea-level rise. The largest reductions occurred in less tidally influenced categories like Inland Open Water (−81.4 hectares), Ocean Beach (−7.9 hectares), Swamp (−5.1 hectares), Regularly Flooded Marsh (−4.6 hectares), and Undeveloped Dryland (−2.9 hectares). As the sea-level rises by 1.468 m, these categories are expected to be notably diminished, with Estuarine Open Water and Open Ocean becoming dominant. Erosion and flooding in the coastal zone are projected to have severe adverse impacts, including a gradual decline in greenhouse gas sequestration capacity. The outputs of this research will aid coastal management organizations in evaluating the consequences of sea-level rise and identifying areas with high mitigation requirements.

The diversity of forest resources is threatened in its current form of exploitation by rural communities. In order to contribute to the sustainable use of forest resources, this study aimed to asse...

In the face of current uncertainties about the processes of climate change and its consequences, the search for possible response strategies is urgently needed. One of the most serious repercussions of climate change, which threatens many coastal areas globally, is the sea-level rise (SLR). To deepen understanding of this phenomenon and its related impacts, several models have recently been developed to satisfy the unique needs of coastal zone management. These models are very useful because of their visualization and prediction capabilities as they aid in decision-making regarding the adaptation of current protected area investments. This review, therefore, provides evidence of the potential and effectiveness of recent mapping models for managing the effects of sea-level rise. This study examined current models for mapping flood risk areas as a result of sea-level rise. It also provides guidelines to help coastal zone managers and policymakers decide the applicability of various models at local, regional, and global scales. There is no universally approved model, and each of the models examined in this article has its own set of advantages and limitations. However, relevant resources from the National Oceanic and Atmospheric Administration are more frequently utilized for organizations and beyond, and they are easier to understand and relate with by scientists and those with less scientific knowledge on sea-level rise.