Jurnal Penelitian Kehutanan Wallacea
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Remote Sensing Remote Sensing-Based Soil Erosion Rate Estimation Using the E30 Model and Sentinel-2 Imagery
Estimating the rate of soil erosion generally takes time, money, and energy. There are many parameters that must be accommodated, such as the physical properties of the soil, land cover, rainfall, topography, and so on. One alternative method for estimating erosion rates is to use a remote sensing approach. The aim of this research is to estimate the rate of soil erosion in the Special Purpose Forest Area of the University of Lambung Mangkurat (KHDTK ULM) Mandiangin, using the E30 model and Sentinel-2 imagery. The erosion rate are measured directly in the field with a number of sample points. According to the E30 model concept, field erosion samples are only measured on land that has a slope of 300. The topographic data itself is extracted from DEMNAS data. Meanwhile, soil bulk density data was obtained from https://soilgrids.org/, and solum data was taken from https://daac.ornl.gov/. From the Sentinel-2 imagery, Normalized Difference Vegetation Index (NDVI) data was extracted, which is one of the parameters in the E30 model. The estimated results of the erosion rate at KHDTK ULM Mandiangin show that, in general, the highest erosion rate at KHDTK ULM Mandiangin is around 480 tons/ha/year. Additionally, almost 80% of the KHDTK ULM Mandiangin area has a very serious erosion hazard level. Of course, the fastest rate of erosion is located on hill slopes with steep topography. Apart from having steep topography, one of the factors causing the high rate of erosion at KHDTK ULM is the thin soil layer and the lack of dense forest cover. This finding indicates the need to conserve vegetation cover on steep lands
Ecological Disaster in Northern Sumatra: How Extreme Rainfall and Land-Cover Disturbance Triggered Widespread Flash Flooding
In November 2025, Northern Sumatra experienced one of the most extreme flood disasters in recent history, triggered by a rare combination of sustained high-intensity rainfall and long-term land-cover disturbance. Using satellite-based rainfall estimates, historical rainfall records, and land-cover change analysis, this study examines the spatial and temporal dynamics of the event. The rainfall produced over 950 mm within four days, with daily accumulation exceeding 390 mm and hourly peaks surpassing 40 mm/hr. Statistical analysis using the Generalized Extreme Value (GEV) distribution estimated a return period of approximately 192 years for the daily maximum. Land-cover analysis revealed extensive deforestation between 1990 and 2024, including in designated protection and conservation forest zones. Flood impacts were concentrated in watersheds with high forest loss and recent land disturbance, particularly in Aceh and North Sumatra. This study highlights how compounding hydroclimatic extremes and upstream land degradation can significantly amplify flood risk. The findings underscore the importance of integrating forest conservation and multi-day rainfall indicators into regional flood risk assessments and early warning systems
How Climate Change Disrupts Mango Phenology and Affects Fruit Production
Climatic elements are limiting factors for plants; therefore, climate change can impact the phenology of plants. This study aims to determine the impact of climate change on the reproductive phenology of four local mango cultivars on Sulawesi Island, Indonesia. Data were collected during 2013 and 2014 by observing and recording the production of vegetative shoots, generative shoots, and fruits from the trees of each mango cultivar weekly. To assess the impact of seasonal change on fruit quality, the weight and sugar level of the ripe fruits in each cultivar were measured. Climate data were obtained from the National Centers for Environmental Prediction and the Indonesian Agency for Meteorology, Climatology, and Geophysics Region IV, Makassar. Results show that from 1979 until 2014, the climate in the study site changed from type D to type C according to the Schmidt-Ferguson Climate Classification method, indicating that the wet season became longer. Following climate change, the reproductive phenology of the four mango cultivars also changed from once to twice annually, whereby the flush of vegetative and reproductive shoots that appeared during the first period in March did not successfully develop into mature fruit but developed following the second period in July. The change of season also impacted the quality of the mangoes, as fruit produced during the longer dry season had higher sugar levels than those produced during the shorter dry season
Genetic Diversity and Kinship Relationships Among Black Mangrove Populations (Rhizophora mucronata) in West Sulawesi Based on Morphological Markers
Rhizophora mucronata is a black mangrove with the most productive ecosystem that has benefits many people. But in reality, because of their business, some people often neglect preserving mangrove ecosystems and habitats. This study was conducted to analyze the level of genetic diversity and the relationship between R. mucronata in West Sulawesi based on morphological markers that will be used in future restoration efforts of black mangroves around the coast. This study used ten trees from three origins: Polewali Regency Mandar, Majene, and Mamuju. Then, several parts of the tree are used for this study, namely leaves, trunks, bark, roots, flowers, and propagules. However, the observed characteristics are leaf shape, stem shape, and color samples such as bark color, stem color, root color, color propagule (fruit and hypocotyl), and leaf color with a qualitative and quantitative approach. The results of this study show that black mangroves in Polewali Mandar, Majene, and Mamuju show high-value genetic diversity. The genetic distance between Polewali Mandar and Mamuju shows a high value of 0.13, meaning they have a distant kinship. Meanwhile, the genetic distance between Polewali Mandar and Majene shows a low value of 0.09, meaning they are close relatives. The findings of this study directly address the research urgency by highlighting the high genetic diversity of R. mucronata populations in West Sulawesi, despite increasing threats from anthropogenic activities. The observed genetic distances indicate significant variation among populations, particularly between Polewali Mandar and Mamuju, which suggests the need for targeted conservation strategies. The close genetic relationship between Polewali Mandar and Majene further emphasizes the importance of localized preservation efforts. These insights provide a scientific basis for future restoration initiatives, ensuring conservation programs maintain genetic resilience and adaptability within the mangrove ecosystem
Evaluating Forest and Land Rehabilitation Using Remote Sensing: A Case Study in Maros Regency
Remote sensing technology has become crucial in vegetation monitoring, particularly for assessing vegetation density. Despite its broad application, its use in evaluating land rehabilitation efforts remains limited. The increasing extent of degraded lands has underscored the importance of effective forest and land rehabilitation activities. Traditionally, evaluating these efforts involves direct site visits to monitor plant growth annually for three years post-planting, which is time-consuming, labor-intensive, and costly. According to rehabilitation standards, a program is successful if 75% of the planted vegetation survives until the end of the third year. This study presents an efficient alternative by evaluating a rehabilitation site in Maros Regency, using remote sensing technology to monitor planting success over periods of 15 years (2007), nine years (2013), and three years (2019). The evaluation utilizes multispectral drone imagery and Normalized Difference Vegetation Index (NDVI) analysis to assess vegetation density through multi-temporal analysis across wide areas. The findings reveal that the percentage of forested areas after three, nine, and fifteen years of rehabilitation activities was 24.6%, 3.1%, and 23.5%, respectively. This research demonstrates the potential for further application of Unmanned Aerial Vehicle imagery in monitoring the success of land rehabilitation projects
The Potential of Native Tree Species for Post-Nickel Mining Land Restoration
Due to the absence of topsoil, low pH, and contamination by various heavy metals, revegetation of post-nickel mining land, which is generally carried out by planting economically valuable species, is usually unsuccessful. This study aims to identify tree species suitable for revegetation on post-nickel mining land in Kolaka Regency, Indonesia. Nine plots measuring 20 m x 20 m were distributed in the revegetated post-nickel mining land at three different age categories (1, 5, and 10 years) to observe the growth of revegetation trees, which are introduced species and native tree species that naturally invade the revegetation area. In total, there were 24 tree species found in the revegetated post-nickel mining land consisting of 9 introduced revegetation species and the other 15 tree species were native tree species that invaded the revegetated area. The older the age of the revegetation, the more native plant species are found. In line with the increasing age of revegetation, the density of revegetation plants decreases while the density of native plants increases. The population structure of revegetation trees does not indicate that the species can regenerate, while the inverted shape of the population structure of native plants indicates excellent regeneration potential. Thus, the results of this study recommend making native species, including Buchanania arborescens, Alstonia macrophylla, Ficus sp. Syzygium sp. Colona scabra, Litsea sp., and Metrosideros cf. petiolata as revegetation plants in former nickel mining areas
Global Scientific Production on Stakeholder Engagement in Community Forestry: A Bibliometric Analysis
Community forestry is a concept that presents management and utilization rights to local communities through empowering communities in sustainably managing forest resources and engaging them in forest conservation movements. This study aims to investigate the scope of stakeholder engagement in community forestry using a bibliometric review. Understanding stakeholders\u27 participation in community forest management through a 30-year bibliometric analysis is essential for achieving historical insights, deciding conflicts, and discussing global forest landscape topics. The data was obtained from the Scopus database. Analysis of references with 808 publications and an annual publication growth rate of 6.49% (1981 – 2023) was used to identify the most significant sources of stakeholder engagement in global trends. Topic areas with titles, keywords, and abstracts in stakeholder engagement in community forestry themes were utilized as a reference for exploring search results. This present study analysed bibliometrics using VOSviewer and Biblioshiny. The publication reached the highest number with 64 publications in 2020. Peter A. Minang was the most productive author in the discipline, with an h-index of 9, total publications of 9, and worldwide citations of 394 from 2005 to 2023. The United States of America (USA) dominated the most publications on this topic. Furthermore, Tribhuvan University was the most relevant affiliated institution. The most productive journal in this field was Forest Policy and Economics. This investigation delivers scholarly novelty in evaluating Global Community Forestry publications, which are practically and theoretically essential to regulators, academia and industry professionals. These findings are important as a foundation for several suggestions for future stakeholder engagement in community forestry research
Analysis of the Carrying Capacity of Proboscis Monkey Habitat on Bakut Island, South Kalimantan, Based on Leaf Area Index
Bakut Island is one of the conservation forest areas in South Kalimantan. This island is the habitat of proboscis monkeys, and the proboscis monkey population is increasing from year to year. Therefore, it is estimated that one day the proboscis monkey habitat on Bakut Island will be over capacity. This study aims to estimate how long the population of proboscis monkeys on Bakut Island Nature Tourism Park can survive there by examining the amount of food the island\u27s vegetation can produce. Proboscis monkey feed itself is estimated using the Leaf Area Index (LAI). LAI was extracted using UAV imaging and NICFI multitemporal imagery. Meanwhile, the carrying capacity of the proboscis monkey habitat is assessed using the quantity of consumption of the proboscis monkey population relative to food availability. Simulations of the carrying capacity of proboscis monkey habitat into the future were carried out using projections of the future proboscis monkey population and LAI growth. The entire computational process of simulating habitat carrying capacity is carried out using the Python language. The results of the analysis show that Bakut Island is only able to support proboscis monkey habitat until 2038. In that year, the proboscis monkey population on Bakut Island is projected to number 1,290 individuals. After 2038, the predicted amount of feed needed by the proboscis monkey population will exceed the feed available on Bakut Island. The limitation of this research is that it only uses one parameter to assess the carrying capacity of proboscis monkey habitat, namely food availability. There are still other parameters that have not been accommodated, including the home range and trees for nests
Promoting Private Conservation in Patra Seroja Ecopark, Dumai Municipality, Riau Province, Indonesia
This paper documents the voluntary conservation practices in Patra Seroja Ecopark Forest by Indonesia’s state-owned oil and gas company, Pertamina Ltd. - Refinery Unit II Dumai, Province of Riau, west coast of Sumatera Island. The company voluntarily allocated, financed, and managed 102 hectares of land in their private area to conserve and protect its in-situ biodiversity and preserve environmental service as a secondary objective. The results of studies and assessments carried out, the management application has fulfilled the Privately Protected Area (PPA) management criteria by IUCN regarding the orientation, biodiversity, management model, and utilization. However, PPA is not recognized legally as an addition to traditionally government-led governance of conservation forests in Indonesia: KSA (Nature Reserve Area), KPA (Nature Conservation Area), TB (Hunting Park) model. Considering the potential width of Privately Protected Area application in Indonesia to support national target achievement on Convention on Biological Diversity (CBD) and Aichi 11 Target and fostering the voluntary initiatives by private in conserving biodiversity, the state may recognize the practices and initiate the legal instrument for PPA application in Indonesia
Modelling the habitat suitability of rattan (Calamus zollingeri) in Lore Lindu National Park, Central Sulawesi
Calamus zollingeri is a potential rattan species that is widely used by the community and is found in the Sulawesi region. As one of the potential non-timber forest products, habitat suitability modelling is needed to determine the distribution and prediction of C. zollingeri distribution in Lore Lindu National Park (LLNP), Central Sulawesi. This study used a species distribution modelling approach with the Maximum Entrophy method. C. zollingeri encounter data were obtained through data collected in the Lore Lindu Management Information System (SIMRELI) from 2019 to 2023. Environmental variables used in the modelling included NDVI, altitude, slope, land cover and distance from river. The modelling results show that 40% of the total LLNP area is highly suitable for C. zollingeri habitat, 20% of the total LLNP area is suitable for C. zollingeri habitat, and 40% of the total LLNP area is unsuitable/insufficient data. This study is important as a reference material for the management of LLNP, especially in structuring the management zone of LLNP