| Issue |
BIO Web Conf.
Volume 234, 2026
The Frontier in Sustainable Agromaritime and Environmental Development Conference (FiSAED 2025)
|
|
|---|---|---|
| Article Number | 01018 | |
| Number of page(s) | 12 | |
| Section | Sustainable Natural Resources and Environmental Management | |
| DOI | https://doi.org/10.1051/bioconf/202623401018 | |
| Published online | 23 April 2026 | |
Spatial modeling of Community Forestry (HKm) management options in Malang Regency
Forest Management Science, Department of Forest Management, Faculty of Forestry and Environment, IPB University, 16680, Indonesia
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
Community Forestry (HKm) is a Social Forestry scheme that provides local communities with direct legal access to manage forest areas to improve community welfare, leveraging the forest's potential for NTFP, TFP, and environmental services. This study aims to formulate and map Community Forestry management options in Malang Regency using the Analytical Hierarchy Process (AHP) method and spatial modeling. The study was conducted across seven farmer groups in three districts of Malang Regency: Ngantang, Singosari, and Sumbermanjing Wetan. HKm management options are divided into 2 areas, protection areas and utilization areas. The results of this study show that in the low and medium vulnerability areas of the 3 sub-districts, the selected HKm management options are dominated by option 2B (forest MPTS with PLDT agricultural MPTS) in the protection area of 779,60 ha and the utilization area of 1607,78 ha. Meanwhile, in the high deforestation vulnerability areas, the selected management options in the 3 sub-districts in the protection area are dominated by option 2A (forest MPTS with honey) in the area of 1,37 ha and by option 1B (silvopasture) in the utilization area of 7,03 ha. The selected management, if implemented can reduce erosion relative to existing land conditions, making them feasible.
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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