LAND COVER AND CARBON STORAGE IN A CERTIFIED SUSTAINABLE COMMUNITY FOREST IN SUMBEREJO VILLAGE, WONOGIRI, CENTRAL JAVA, USING LANDSAT DATA SERIES 2000, 2015 AND 2020

• Main Authors: Sadono, Ronggo, Khan, Kamran, Kusuma, Aprisep Ferdhana, Siregar, Diyanti Isnani, Yuwono, Teguh, Peday, Hans Fence Zakeus, Ruhimat, Idin Saepudin
• Format: Article PeerReviewed
• Language: English
• Published: Biotechnical Faculty of the University of Montenegro 2022
• Subjects: Sustainable Agricultural Development; Rural Management; Agricultural Land Management; Forestry Sciences
• Online Access: https://repository.ugm.ac.id/283223/1/20220929-15%20Sadono%20et%20al.pdf; https://repository.ugm.ac.id/283223/; http://www.agricultforest.ac.me/paper.php?id=3147
• Institution: Universitas Gadjah Mada

The Indonesian Ecolabel Institute certified Sumberejo Village’s 426.19 hectares of community forest as the first to receive a certificate of sustainable community forest management in 2004 for the first 15 years until 2019. Some economic, socio-cultural, and ecological aspects of this community forest management have been studied, but not the extent of land cover and the amount of carbon storage capacity. Indeed, this data is crucial in determining the role of certified community forests in climate change mitigation. Therefore, the purpose of this study is to look at the changes in land cover and the amount of carbon storage in Sumberejo Village’s community forest as a result of certification. Landsat 7 satellite images from the year 2000, Landsat 8 satellite images from 2015, and Landsat 8 satellite images from the year 2020 were used to represent the state-of-the-art community forest before, during, and the end of the certification period, respectively. Using a combination of the forest canopy density model and carbon storage conversion at the national level, we analyzed land cover classes from 2000 to 2015 and from 2015 to 2020, representing changes in the initial and final phases. The SPOT image 2020 land cover classification was then used as training data for a supervised classification-maximum likelihood algorithm to classify the images for 2000, 2015, and 2020. The result showed that moderately dense forest dominated the investigated area in 2000, followed by open forest and high dense forest, with 398.58 ha, 83.53 ha, and 35.53 ha, respectively. Total Carbon storage 45,230.02 tons C during this period. In 2015, moderately dense forest increased by 516.63 ha, while open forest significantly decreased by 4.73 ha as a result of tree planting activity, and high dense forest decreased by 1.69 ha as a result of harvesting. Due to public awareness of the need to manage and conserve forests through methodical harvesting, the composition of land cover, as well as carbon storage, remained unchanged in 2020. This consistent condition of carbon storage ensures that the certification has a positive impact on climate change mitigation. © 2022, University of Montenegro. All rights reserved.