Purwanto RH, Mulyana B, Sari PI, Hidayatullah MF, Marpaung AA, Putra ISR, Putra AD. 2021. The environmental services of Pangarengan mangrove forest in Cirebon, Indonesia: conserving biodiversity and storing carbon. Biodiversitas 22: 5609-5616. Pangarengan mangrove forest in Cirebon, Indonesia, plays a vital role in providing ecosystem services, such as conserving biodiversity and storing carbon. The area of the Pangarengan mangrove forest is relatively small, but it is home to diverse flora and fauna. Also, it can mitigate climate change by storing carbon. Unfortunately, no specific records exist on biodiversity and carbon stock in the Pangarengan mangrove forest. This study aimed to record the diversity of flora and fauna of the Pangarengan mangrove using a survey approach and to estimate its carbon stocks using a non-destructive sampling method, except for seedlings, on 78 sampling plots, distributed randomly along the banks of the Cipaluh River. The results revealed that the flora consisted of 24 species, and the fauna was composed of 12 species. The mangrove species in the Pangarengan mangrove forest was dominated by Rhizophora mucronata. The carbon stocks varied among species or the life stages of plants (seedlings, saplings, poles, and trees). The carbon stock of Avicennia marina trees was the highest (110.810 MgC/ha), and the lowest was the seedlings of the Avicennia alba (0.005 MgC/ha). Furthermore, the interpretation of the images showed that the Pangarengan mangrove forest area is 21.5 ha. The mangrove forest is located in the coastal area of the Java Sea, 2.4 km from the residential area of Pangarengan village. It is crucial to preserve the Pangarengan mangrove forest because it functions as a source of biodiversity and carbon storage.

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.

Yasin EHE, Mulyana B. 2022. Spatial distribution of tree species composition and carbon stock in Tozi tropical dry forest, Sinnar State, Sudan. Biodiversitas 23: 2359-2368. Dryland forest ecosystem in Sudan plays an important role, either ecologically or economically, for the community around the forest areas. However, land-use change, illegal logging and grazing have caused dryland forests in the country to degrade. The research aimed to investigate the species composition and carbon stock in a Tozi tropical dry forest (TTDF), a typical dryland forest ecosystem in Sinnar state, Sudan. A total of 306 circular sample plots (1000 m2 for each) were established using a systematic sampling grid method. The distance between plots was 400 m and between survey lines 500 m. In each plot, all living trees were identified and counted, and their diameter at the breast height (DBH) was recorded. Research findings showed that there were 2,339 individual trees representing four species (Acacia seyal, Balanites aegyptiaca, Acacia senegal and Acacia mellifera) that belong to two families. The B. aegyptiaca and A. seyal were the dominant species widely distributed in the TTDF. The average tree density was 175 trees/ha and the Shannon-Weiner index for trees diversity was 0.264. For the seedlings stage, A. mellifera showed a high value of frequency and density, followed by B. aegyptiaca and A. seyal. The structure of seedlings, saplings, and adults trees formed a reverse J-shape in which the density of seedlings was the highest and followed by saplings and adult trees. Carbon stock of A. seyal, B. aegyptiaca, A. senegal, and A. mellifera were 990.95, 2602.78, 1085.82, and 249.20 kg C/ha, respectively. Spatial analysis showed that sites composed of three species resulted in the highest above ground carbon stock compared to single species, two species, and four species compositions.

Since 1994, the community around the mangrove forest in Kupang district, East Nusa Tenggara Province, Indonesia, has rehabilitated the mangrove forest. Unfortunately, almost three decades of the success story of mangrove rehabilitation has not followed appropriate documentation on biodiversity and potential carbon stock. This research aimed to describe the species composition and estimate the carbon stock of rehabilitated mangrove forests. Forty-five sampling plots were distributed using purposive sampling based on mangrove zonation (distal, middle, proximal) and year of rehabilitation (2004, 2006, 2008). The findings revealed that there are ten mangrove species. Two species, namely Avicennia marina and Sonneratia alba, showed a high importance value index. The average aboveground carbon stock was 454.712 t/ha, distributed in seedlings, saplings, poles, and trees at 0.04%, 2.41%, 51.61%, and 45.94%, respectively. Mangrove rehabilitation in Kupang district, East Nusa Tenggara Province, has successfully increased the richness, heterogeneity, and carbon stock.

The productivity of cajuput plantation has improved through tree breeding, while manipulation of site and management engineering of timber plantations have been less attention. Management engineering can be obtained by determining the optimum cycle of cajuput leaves harvesting. This study aims to determine the optimum cycling of cajuput leaves harvesting at KPH Yogyakarta by considering the biological cycles of cajuput leaves, chemical physical properties, and the yield of cajuput oil. The tools used in the research were digital scales, distillation devices, and testing tools of physical-chemical properties of cajuput oil. The material for research was the cajuput plants at KPH Yogyakarta. Data of cajuput leave-twig biomass were obtained for 9 months from 9 plots which were well distributed on various ages. Biological cycle analysis uses curent monthly increment (CMI) and mean monthly increment (MMI) intersection approach. Analysis of the physical-chemical properties on cajuput oil refers to SNI 3954:2014 on cajuput oil. The results showed that the biological cycles of cajuput leaves were obtained 5 months after leaves harvesting. The chemical physical properties of cajuput oil that meet the requirements of SNI were achieved after the leaves are 7 months after harvested. The yield of cajuput oil which is above 0.7% was obtained after the leaves are 8 months after harvested. Thus, the optimum cycle for harvesting of cajuput leaves in KPH Yogyakarta is after 8 months.

Forest carbon dynamic modeling for estimating the carbon stock in short rotation coppice bioenergy plantation in Hungary will be vital for better comprehending the role of black locust (Robinia pseudoacacia) and poplar (Populus sp.) in carbon dioxide sequestration from the atmosphere. The research aims were to estimate the potential carbon stock and describe the carbon distribution of the short rotation coppice bioenergy plantation above and below ground. Various sources were used to acquire parameterization data for developing forest carbon dynamic models. CO2FIX modeling V.3.2 was utilized in the data analysis to estimate the total carbon stock in biomass, soil, harvested wood products, and bioenergy compartments. Modeling has been around for 45 years. In this research, the total carbon stock of black locust and poplar at the end of the simulation period was 64.13 and 131.08 MgC.ha-1, respectively. The average carbon allocation above and below ground for black locust and poplar was 0.76, 19.76, 1.80, and 21.67 MgC.ha-1, respectively. In conclusion, poplar outperformed black locust regarding carbon storage in the short rotation coppice bioenergy plantation. Below ground carbon allocation was much higher than above ground. Therefore, more attention should be paid on below ground allocation through environmentally friendly soil management. Keywords: bioenergy plantation, carbon dynamics, climate change mitigation, CO2FIX model, fast growing species