Land suitability analysis for global mangrove rehabilitation in Indonesia

Abstract

Mangrove has an important role not only for ecosystem services such as erosion control and water purification but also for human life. For instance, mangrove has been satisfactorily saving people from the ocean such as storm surge or tsunami. However, mangrove population has fallen for about a fifth over these 25 years. Therefore, rehabilitation and restoration of mangrove are essential to be taken to overcome mangrove loss. Nonetheless, in several areas, while doing the rehabilitation mangrove, some species of mangroves failed to survive due to several parameters that were not suitable for them to grow. Hence, this research aimed to determine suitable sites for mangrove life in Indonesia globally. This research used several parameters which were: elevation, slope, air temperature, and precipitation, to measure the suitable sites. The result shows that 62% from the total area (99,773 ha) of coastline in Indonesia are suitable for mangrove to grow included 59% is suitable class (95,347 ha) and 3% is perfectly suitable class (4,427 ha), while the unsuitable class has 38% (61,616 ha) from the total area. Furthermore, in some areas, the decreasing number of suitable land for mangrove was related to the increasing number of mangrove deforestation.

Assessment of Mangrove Ecosystem Potential in Bontang Regency-East Kalimantan to Reduce Abrasion

“…As for [33] although using NDVI and NDMI, they were applied to analyze the vegetation density of forest areas, and were not specific about mangroves. Syahid [34] have analyzed several physical variables to determine suitability areas for mangrove rehabilitation. However, it does not consider to the existing land cover on surrounding areas.…”

Assessing Potential Climatic and Human Pressures in Indonesian Coastal Ecosystems Using a Spatial Data-Driven Approach

“…Several studies have investigated using a multi-stressor approach for local seagrass and coral reef ecosystems [47,48]. In addition, studies on damage factors and land suitability based on multi-source remote sensing data products have been conducted at the regional level [49][50][51][52][53]. Hence, a datadriven approach exposed an opportunity to extensively observe potential stressors of blue carbon ecosystems from multiple aspects [54,55].…”