EMAD HASSAN ELAWAD YASIN
Faculty of Forestry, University of Sopron. Bajcsy-Zsilinszky ut. 4, Sopron, 9400, Hungary

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Spatial distribution of mangrove vegetation species, salinity, and mud thickness in mangrove forest in Pangarengan, Cirebon, Indonesia RIS HADI PURWANTO; BUDI MULYANA; RYAN ADI SATRIA; EMAD HASSAN ELAWAD YASIN; ILHAM SATRIA RADITYA PUTRA; AGIK DWIKA PUTRA
Biodiversitas Journal of Biological Diversity Vol. 23 No. 3 (2022)
Publisher : Society for Indonesian Biodiversity

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/biodiv/d230324

Abstract

Abstract. Purwanto RH, Mulyana B, Satria RA, Yasin EHE, Putra ISR, Putra AD. 2022. Spatial distribution of mangrove vegetation species, salinity, and mud thickness in mangrove forest in Pangarengan, Cirebon, Indonesia. Biodiversitas 23: 1384-1392. The mangrove rehabilitation programs in the northern coastline of West Java showed varying levels of success due to the lack of information on habitat suitability and species distribution. This research aimed to investigate the spatial distribution of mangrove vegetation species, salinity, and mud thickness in Pangarengan mangrove forest, Cirebon, Indonesia. Data on mangrove vegetation, salinity, and mud thickness were collected from 78 randomly distributed sample plots. Species composition was analyzed using important value index, and spatial distribution was examined using QGIS. Results revealed that Rhizophora mucronata was the most dominant and widely distributed species in all areas of Pangarengan mangrove forest with the important value index (IVI) for seedlings, saplings, poles, and trees were 178.69%, 219.71%, 242.21%, and 167.56%, respectively. Avicennia marina showed significant IVI in saplings (59.41%) and trees (105.21%). Other species had an IVI of less than 20% for each growth stage. Salinity ranged from 0-28 ppt and gradually decreased from the shoreline to settlement areas. Mud thickness ranged from 55 to 175 cm but with no regular pattern observed. In conclusion, the Pangarengan mangrove forest was dominated by R. mucronata. Our findings suggest that to enhance the likelihood of success in mangrove rehabilitation programs, R. mucronata might be a good choice, but to increase the species diversity other species might need to be planted by applying specific treatments, such as a vertical aquaponic system.
Assessment of land use and land cover change on Gum Talha (Acacia seyal var. seyal) forest in Bahar Alarab, Sudan AHMED YOUNIS IBRAHIM YOUNIS; BELLO NIYI JONATHAN; ADENIYI OLUMUYIWA TOGUN; EMAD HASSAN ELAWAD YASIN; SIRAJ OSMAN OMER; GAMMER-ELDIEN ABDELRHMAN IBRAHIM HAMAD; SAMOURA DEMBA AÏSSATA
Biodiversitas Journal of Biological Diversity Vol. 23 No. 9 (2022)
Publisher : Society for Indonesian Biodiversity

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/biodiv/d230922

Abstract

Abstract. Younis AYI, Jonathan BN, Togun AO, Yasin EHE, Omer SO, Hamad GAI, Aissata SD. 2022. Assessment of land use and land cover change on Gum Talha (Acacia seyal var. seyal) forest in Bahar Alarab, Sudan. Biodiversitas 23: 4549-4560. Evaluating land use and land cover change (LULC) is essential for the sustainable management of natural resources, biodiversity conservation, monitoring of food security, and research related to climate change and ecology. A better assessment of land-use changes is highly needed for further investigation due to increasingly rapid changes in LULC in response to human population growth. The emerging climatic change also has a significant effect on LULC. The objective of this study is to assess land use and land cover in Bahar Alarab, East Darfur State, Sudan, using remote sensing data obtained from satellite images. For assessing the LULC changes, Landsat images of the years 1988, 2002, and 2020 were downloaded and analyzed using QGIS 3.22.1 and ERDAS 2014 software, where supervised classification was applied with GPS point verification, change detection, matrix, and accuracy assessment. The analysis on LULC showed considerable changes during the two study periods, where 2020 had a considerable increase in forest cover in which on that year it occupied 26.44% of the area compared to 2002 and 1988 with 21.27% and 21.45%, respectively. Whereas 2002 the area was covered by a vast herbaceous vegetation (33.41%) compared to 1988 and 2002. Moreover, in 1988, shrubland decreased from 31.95% to 29.06% and 23.67% in 2020 and 2002, respectively. Sparse vegetation covered a considerable area in 2020 (23.61%) compared to 2002 and 1988 (21.65% and 17.71%, respectively). The results highlighted that there was statistically significant correlation between climate factors and LULC. Average temperature was highly positively correlated with sparse vegetation at 98.2%, while rainfall was highly negatively correlated with forest (-96.9%) and sparse vegetation (-88%), and highly positively correlated with herbaceous vegetation (83.5%). This study provides a unique understanding of LULC changes and their implications in management and conservation efforts, as well as a road map for decision makers for sustainable development of LULC in the Bahar Alarab.