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
Abstract
Eucalyptus urophylla plantation is an important contributor to carbon storage in climate change mitigation, established due to a land rehabilitation program in the semi-arid ecosystem in Timor Island. To ensure an accurate estimate of the above-ground carbon storage of these plantations, it is important to continuously combine ground measurement with remote sensing technology. Therefore, this study aimed to compare the above-ground carbon storage estimation
Abstract:
One of the main species in community forests is betung bamboo (Dendrocalamus asper). Optimizing land use under bamboo can be achieved by cultivating food crops. This research aimed to determine the growth of betung bamboo and the production of food crops. The experimental design used a split plot design with four cultivation patterns as the main plots: agroforestry bamboo pattern i.e. agroforestry bamboo + rice (P1), agroforestry bamboo + rice + cassava (P2),
Abstract
Community forests offer diverse wood species and quantities, potentially meeting the increasing demand for wood-building materials driven by the green building concept. The diverse species have varied specific gravity. Combining wood species and cross-lamination engineering could improve the strength and dimensional stability of low-density and medium-density wood from community forests. Therefore, this research aimed to determine the effect of wood species
Abstract
This study aims to determine bamboo agroforestry system in maintaining sustainability of privately owned forest and contribution of bamboo community forests to the farmers’ economy. Research on the composition of privately owned forest species was carried out using a survey method. There were 37 observation plots evenly distributed in the study location villages. Land cover image data obtained from Sentinel-2 Imagery were compared based on land-cover classification.
Abstract
The sapwood portion of fast-growing teak is mostly ignored due to its inferior quality. One of the possibilities for utilizing sapwood waste is to convert it into activated carbon that has good adsorption capabilities. The raw materials used in this research were sapwood of 14-year-old fast-growing teak sapwood (FTS) waste, which was taken from three trees from community forests in Wonosari, Gunungkidul, Yogyakarta Special Region. FTS waste was taken from the
Link Dokumen:
Download
Hal: Undangan, 25 Maret 2024
Yth. Bapak/Ibu/Saudara
Ketua Penelitian Berbasis Laboratorium dan Penelitian Dosen Junior Tahun 2024
Fakultas Kehutanan UGM
Dengan hormat,
Mengharap kehadiran Bapak/Ibu/Saudara dalam pertemuan yang akan kami selenggarakan pada:
🗓️ hari/tanggal: Senin, 25 Maret 2024
🕰️ waktu: 13.00 WIB
🗒️ agenda: Pengisian Borang Akreditasi JIK
📍 link zoom: Meeting ID 930 8066 1607
Passcode RISET2024
Mengingat pentingnya acara tersebut, kami
Abstract
Uncontrolled fires place considerable burdens on forest ecosystems, compromising our ability to meet conservation and restoration goals. A poor understanding of the impacts of fire on ecosystems and their biodiversity exacerbates this challenge, particularly in tropical regions where few studies have applied consistent analytical techniques to exam-ine a broad range of ecological impacts over multiyear time frames. We compiled 16 y of data on ecosystem properties
