Pangale Journal of Forestry and Environment

Integrasi SIG dan CA–Markov Chain untuk Prediksi Perubahan Lokasi Rawan Banjir di Kabupaten Mamuju

Risma — 2025-12-31

Climate change and the increasing frequency of extreme weather events have intensified the risk of hydrometeorological disasters, including flooding, particularly in regions experiencing rapid deforestation and land-use conversion. Mamuju Regency is one of the areas with high flood vulnerability due to its biophysical characteristics and accelerated land-use changes. This study aims to analyze the current flood susceptibility, predict land-use changes up to 2029 using the Cellular Automata–Markov Chain (CA–Markov) model, and assess how these changes influence future flood-prone areas. The research employs secondary datasets and Landsat satellite imagery, which were processed using Geographic Information Systems (GIS). Flood susceptibility analysis was conducted based on six key parameters—rainfall, slope, elevation, soil type, land use, and river proximity—each weighted using the Weighted Scoring method. The results indicate that in 2019, high-vulnerability areas covered approximately 279.84 km² and are projected to increase to 365.05 km² by 2029. This increase is primarily driven by declining forest cover and expanding built-up areas, which reduce infiltration capacity and intensify surface runoff. The predicted distribution of flood-prone areas shows that high-risk zones are concentrated in western Mamuju, particularly in rapidly developing subdistricts such as Kalukku and Mamuju. These findings highlight the need for stricter land-use control, enhanced watershed management, and spatially integrated flood mitigation strategies to reduce disaster risks in Mamuju Regency.

Pemetaan Jasa Ekosistem Penyedia di Daerah Aliran Sungai Mamasa

Marleny Dara — 2025-12-31

The Mamasa watershed is one of the important areas in the Mamasa–Saddang hydrological system, which has a strategic ecological function in providing ecosystem services. Changes in land cover, pressure on land use, and variations in geomorphological characteristics have the potential to affect the capacity to provide ecosystem services in the region. Therefore, a comprehensive understanding of the potential for ecosystem services is very important as a basis for sustainable development planning and the preparation of environmental carrying capacity studies within the framework of the Strategic Environmental Assessment (SEA). This study aims to describe and map the potential for ecosystem service provision in the Mamasa watershed, which covers the districts of Mamasa, Polewali Mandar, Pinrang, Tana Toraja, and Enrekang. The methods used include expert judgment for geomorphological and land cover assessment, which are then analyzed using a Pairwise Comparison Matrix and Geographic Information System. The results of the study show that the Mamasa watershed has 12 types of land cover and 8 types of geomorphology. In terms of food provision ecosystem services, the moderate category dominates at 53.77% and is mainly located in the upper reaches with an area of 25,463.67 ha. Clean water provision ecosystem services are also dominated by the moderate category at 56.18%, mainly distributed in the downstream area covering an area of 25,247.22 ha. For fiber provision ecosystem services, the moderate category dominates at 30.10% and covers the upstream area with an area of 24,649.19 ha. Meanwhile, biomass fuel ecosystem services show a dominance of the medium category at 30.10% with an area of 20,845.75 ha, which is also located in the upstream area. These findings provide a comprehensive spatial overview for sustainable natural resource management planning in the Mamasa watershed.

Analisis Laju Debit Sesaat di DAS Tubo Bagian Hilir

Rosmaeni — 2025-12-31

The discharge of a river basin is influenced by several factors such as rainfall, land use or vegetation conditions, soil type, and topography. This study was conducted to determine the magnitude of the instantaneous flow rate of the Tubo River Basin in the downstream section. The instantaneous flow rate was determined using the floatation method. The floatation method is the simplest method that can be done to measure the flow rate by flowing an object that can float on the water surface. This study used a ping pong ball with a distance of 10 m. Discharge (m3/s) can be determined by the formula of the river cross-sectional area (m2) multiplied by the river water flow rate (m/s). The river cross-sectional area is determined by measuring the river width multiplied by the average water depth. Meanwhile, the flow velocity can be determined by calculating the path length divided by the average travel time of the ping pong ball. Measurements were carried out on a straight section of the river and were carried out 10 times in the morning and afternoon. The results showed that the average flow discharge of the Tubo River Basin in the downstream section was 28.18 m3/s. The use of forest land of 15.15 ha is smaller than non-forest land of 249.66 ha, which has an impact on the small discharge rate. Land cover characteristics and low rainfall factors influence the discharge rate.

Analisis Vegetasi Pada Tegakan Pinus merkusii Di Desa Rambusaratu Kecamatan Mamasa Provinsi Sulawesi Barat

Limerti M — 2025-12-31

Pinus merkusii is one of the important production forest species widely developed in the Forest area of West Sulawesi. The strong dominance of pine often affects the vegetation structure and the level of diversity of understory plants. This study aims to describe the structure and composition of vegetation in Pinus merkusii stands and analyze the level of diversity and ecological role of each species in Rambusaratu Village, Mamasa District, West Sulawesi Province. The study used the species-area curve method with a quadratic plot system with a plot size of 20x20 m, a total of 18 plots were observed to obtain data on the number of species, number of individuals, density, frequency, dominance, and calculation of the Importance Value Index (INP), Shannon-Wiener diversity index (H’), evenness (E), and species richness (R). The results showed that there were 13 types of vegetation spread across four growth strata. Pinus merkusii had the highest INP value in the tree strata, indicating very strong dominance. The diameter distribution pattern did not form an inverted J curve, which indicates regeneration is dominated by trees with a medium class due to the simultaneous planting of pines in the study location. The diversity value (H') is low, indicating a community dominated by one species, while the evenness value (E) indicates an unbalanced distribution of individuals across species

Penerapan Sistem Silvikultur pada Hutan Kemasyarakatan di Desa Alu Kecamatan Alu Kabupaten Polewali Mandar

Syaifullah — 2025-12-31

Silvicultural systems play a vital role in the implementation of social forestry programs; however, their application at the community level continues to face various challenges. This study aims to describe silvicultural practices implemented by local communities within the Community Forest (Hutan Kemasyarakatan/HKm) program and to identify the limiting factors influencing their application. The research employed a descriptive qualitative approach, with data collected through observation, interviews, questionnaires, and document analysis. The results indicate that the community of Alu Village has applied a range of silvicultural practices, despite most respondents being unfamiliar with the technical term “silviculture.” Agroforestry is the predominant system adopted, integrating forest tree species such as teak, mahogany, and gmelina with plantation crops including cocoa, coffee, and candlenut, as well as food crops (maize and chili) and fruit trees (durian, rambutan, and nutmeg). Community knowledge related to silvicultural management is largely derived from intergenerational experience, while access to formal extension services remains limited. Constraints affecting the implementation of silvicultural practices can be categorized into technical and non-technical factors. Technical constraints include difficulties in seedling preparation and transportation, limited road access, and unpredictable weather conditions. Non-technical constraints involve limited financial resources, inadequate training opportunities, and insufficient support from relevant institutions.