Abstract
Anthropogenic activities carried out by communities around forests in production forests, protected forests, and conservation forests have an impact on changes in the land cover of these areas. This impact is difficult to avoid because, on the other hand, production forests and protected forests are in direct contact with the lives of local communities. Changes in land cover have a significant impact on the contribution of Folu Net Sink, which is set by the
Abstract
STRATEGIC MANAGEMENT OF TALAS BENENG (Xanthosoma undipes) AGROFORESTRY IN CIAMIS REGENCY, INDONESIA. Recently, the Indonesian government has sought to secure food production from forestlands by implementing agroforestry in rural areas. Talas beneng or tall elephant ear plant (Xanthosoma undipes) is a potential species for agroforestry that produces medicinal tubers and leaves. It has high productivity and export opportunities, but its management strategy under
Abstract
The microbiome is an important consideration for the conservation of endangered species. Studies provided evidence of the effect of behavior and habitat change on the microbiota of wild animals and reported various inferences. It indicates the complexity of factors influencing microbiota diversity, including incomplete sampling procedures. Data abnormality may arise due to the procedures warranting preliminary analysis, such as rarefaction, before downstream
Abstract
This study aims to determine the lipophilic component that affects the quality of pulp and paper products in wood of 10-year-old Anthocephalus cadamba (families 23, 11 and 6) and 5-year-old Anthocepalus macrophyllus (families 75, 85 and 2). The results showed that the main group of compounds that appeared frequently and were identified in the lipophilic fraction were fatty acids (palmitic, oleic, linoleic and stearic acids), fatty alcohols (eicosanol, heneicosanol
Abstract
Teak (Tectona grandis Linn. f.) is one of the most economically valuable types of tropical forest because teak wood has high durability, resilience and good aesthetic qualities. Teak tree improvement in Indonesia was initiated in 1983 producing planting stock for reforestation, i.e. clonal seed orchards (CSO) to produce seedling as sexual reproduction (referred to seedling), and hedge orchards to produce shoot cuttings as asexual (vegetative) reproductive (referred
Abstract
Persimmon wood (Diospyros kaki) is a seasonal fruit-producing plant with a beautiful dark pattern in its wood that is suitable for high-quality furniture, sculptures and musical instruments. The utilization of persimmon wood can be improved by determining its anatomical characteristics, such as juvenile and mature wood. This study aimed to determine the boundaries between juvenile and mature wood and observe the anatomical properties of juvenile and mature
Abstract
The success of rehabilitation has altered environmental conditions from critical land to new habitats for living organisms. One of the representative and sensitive mesofauna to environmental changes is Collembola. Various vegetation cover almost all of the rehabilitation area, which has impacts on microclimate and soil quality as important factors to Collembola existence. This study investigated the diversity and abundance of Collembola and its relation to
Abstract
Globally, habitat loss, deforestation, and climate change are mostly caused by land cover changes (LCC). The amount of land covered by trees has had a major impact on global warming and climate change. Increasing the amount of land cover helps to mitigate climate change and global warming. This study aims to investigate the changes in land cover and carbon storage in Plawangan Hill, Indonesia, over four years (2009, 2013, 2017, and 2023). The study site was
Abstract
In this study, we utilize a self-supervised ResNet50 model for classify land-cover imagery combining learning from both Sentinel-1 and Sentinel-2 images using the SEN12MS dataset. The model is further fine-tuned with the DFC2020 dataset, enriched by our addition of 336 new rubber data patches covering 75×90 km² area. The model achieved 98.1% accuracy in classifying rubber using only a 25% training data
split, and 74.9% accuracy in classifying forest
