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Rendana Muhammad,Razi Idris Wan Mohd,Abdul Rahim Sahibin,Ghassan Abdo Hazem,Almohamad Hussein,Abdullah Al Dughairi Ahmed 한국산림과학회 2023 Forest Science And Technology Vol.19 No.3
Context: It is essential to assess the suitable habitat for elephants in order to mitigate the effects of forest fragmentation on conservation. Aims: This study aimed to estimate the potential suitable habitats for Sumatran elephants in the fragmented forest in the Padang Sugihan wildlife reserve area in southern Sumatra, Indonesia. Methods: The habitat suitability was analyzed using some environmental factors such as slope, elevation, land cover, distance to rivers, and distance to agricultural areas. The remote sensing, geographic information system (GIS), and MaxEnt model were used to determine the potential habitat suitability for Sumatran elephants. Results: This study revealed areas of suitable habitat were evenly distributed throughout the study area, with the composition being suitable (45%), highly suitable (5%), and less suitable (50%). This study revealed the most suitable habitats were found in dense forest areas (gelam or Melaleuca cajuputi forest), which were highly affected by river adjacency, whereas agricul- tural areas resulted in constrained suitability and fragmentation of forested areas. Conclusions: As a whole, the estimation of elephant habitat using remote sensing and GIS may guide the development of conservation strategies for elephant conservation in this region. KEY MESSAGE The Sumatran elephant (Elephas maximus sumatranus) is on the Red List of the International Union for Conservation of Nature as a species that is “Critically Endangered.” The population of elephants has steadily declined in the Sumatra region, which is characterized by peat swamp forests and a tropical rainforest climate and is vulnerable to habitat degradation.
Rendana Muhammad,Razi Idris Wan Mohd,Abdul Rahim Sahibin,Ghassan Abdo Hazem,Almohamad Hussein,Abdullah Al Dughairi Ahmed,Albanai Jasem A. 한국산림과학회 2023 Forest Science And Technology Vol.19 No.3
Mangrove trees have a crucial role in providing habitat and breeding for various aquatic species and averting coastal erosion caused by strong waves, tidal surges, and storm surges. Currently, the mangrove area along the Sungsang coast in South Sumatra, Indonesia, has been degraded by human activities like agriculture, fish ponds, and other infrastructure developments. In this study, we used the normalized difference built-up index (NDBI), the normalized difference vegetation index (NDVI), and land surface temperature (LST) analysis for observing urban development and vegetation cover in the Sungsang mangrove area. This study aimed to analyze the effects of NDBI and NDVI on the LST change in the Sungsang mangrove area. Results revealed that the mangrove vegetation significantly reduced (by 23%) during 2013–2022 years, in contrast to the built-up development and the LST gradually increased. The area with a temperature value greater than 20 C was character- ized by mangrove degradation, expanding around the peripheral area. There was a strong positive correlation between LST and NDBI (r ¼ 0.90, p < 0.01), and a moderate correlation between LST and NDVI (r ¼ 0.74, p < 0.05). Thus, the built-up index greatly influenced the vegetation area within the study site. This study assists the authority in comprehending their recent mangrove status and promoting sustainable actions for mangrove vegetation and urban management.