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Modeling suitable habitats of maleo (Macrocephalon maleo sal. müller 1846) in Gorontalo Andriwibowo, Andriwibowo; Maarif, Fadjri
Jurnal Penelitian Kehutanan Wallacea Vol. 12 No. 2 (2023)
Publisher : Foresty Faculty of Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24259/jpkwallacea.v12i2.31355

Abstract

Maleo (Macrocephalon maleo) is one of the endangered bird species in Indonesia. This avifauna species is an endemic bird to Sulawesi Island. It is distributed from the south to the north of Sulawesi, including Gorontalo. Currently, information on suitable habitat models for M. maleo is very limited, while this information is required to support the conservation of M. maleo. This study aimed to model the potential habitat for M. maleo using species distribution modeling (SDM) with vegetation cover variables as predictors. The model was built based on the M. maleo occurrence points. The suitable habitat was then evaluated using area under the curve analysis and the receiver operating characteristic curve (AUCROC). Based on the model, the AUC is valued at 0.729, which is considered reasonable and indicates that the model can be used to depict the potential habitats for the species. In this study, most of the west and east parts of Gorontalo were considered not suitable for Maleo. While the coastal areas of Gorontalo were considered very suitable. This was confirmed for both the north and south coastal areas of Gorontalo. Then it is strongly recommended to conserve and protect most of those coasts to ensure the Maleo conservation.
Modelling the habitat suitability of rattan (Calamus zollingeri) in Lore Lindu National Park, Central Sulawesi Maarif, Fadjri; Basoka, Muh. Darmawan; Santoso, Aji Rachmat; Sitinjak, Richo Nandhito
Jurnal Penelitian Kehutanan Wallacea Vol. 13 No. 1 (2024)
Publisher : Foresty Faculty of Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24259/jpkwallacea.v13i1.34099

Abstract

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.
Flood vulnerability analysis using geographic information system in the core zone of the Lore Lindu biosphere reserve, Indonesia Suni, Muhammad Adam; Rahmawati, Ani; Muis, Hasriani; Maarif, Fadjri; Baharuddin, Rhamdhani Fitrah
Journal of Degraded and Mining Lands Management Vol. 12 No. 1 (2024)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2024.121.6887

Abstract

Floods are caused by the accumulation of several factors, such as global warming, climatological characteristics, hydrology, and physical conditions of an area. The purpose of this study was to map the level of flood vulnerability in the core zone of the Lore Lindu Biosphere Reserve using geographic information system (GIS) based spatial analysis with scoring and overlay. The research parameters consisted of rainfall, elevation, slope, soil type, land cover, and distance from the river. This research was conducted in the core zone divided into 13 subdistricts and 2 regencies. The results of the classification of flood vulnerability levels are divided into 4 (four) categories: not prone, low vulnerability, moderate vulnerability, and high vulnerability. The results of the analysis show that the core zone of the Lore Lindu biosphere reserve is dominated by a non-hazardous site with an area of 145,018’28 ha (67.23%), a low vulnerability zone of 65,430.10 ha (30.33%), a moderate vulnerability zone of 5,025.29 ha (2.33%), and a high vulnerability zone of 245.99 ha (0.11). Areas with a high level of vulnerability are at low elevations with flat to gentle slopes. Most land use is dominated by water, mining, and open land without vegetation and is located around rivers.
MODELING OF LANDSLIDE SUSCEPTIBILITY IN THE CORE ZONE OF THE LORE LINDU BIOSPHERE RESERVE USING GIS Suni, Muhammad Adam; Basoka, Muhammad Darmawan; Maarif, Fadjri; Mappatoba, Cesar Andi
Jurnal Belantara Vol 8 No 1 (2025)
Publisher : Forestry Study Program University Of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbl.v8i1.1029

Abstract

Landslide is a very dangerous natural disaster and often occurs in many hilly or mountainous areas, it often occurs without warning and causes loss of life and property, marked by the displacement of slope-forming material in the form of rocks, soil, or material down the slope. This study aims to model landslide-prone areas in the core zone of the Lore Lindu biosphere reserve in Central Sulawesi Province using the overlay method with a score between 6 parameters. The research parameters included land cover/use, rainfall, elevation, slope, soil type, and lithology. The weighting analysis produces three variables that determine the level of landslide vulnerability: slope, land use, and rainfall. The results showed that the level of vulnerability to landslides in the study area was divided into 4 classes, namely 17.482,15 ha (8,10%) non-prone areas, 98.372,96 ha (45,60%) low vulnerability areas, 98.032,51 ha (45,45%). moderate hazard area, and 1.832,04 ha (0,85%) high hazard area. In high vulnerability zones small or large-scale landslides often occur due to high rainfall and steep to very steep slopes, the rock forms in the form of sediment. Vegetation conditions are generally lacking. The areas included in this class are the villages of Bulili, Lawua, Sedoa, Katu, and Karunia.
Land Cover Classification Using Sentinel 2A Image in Lore Lindu National Park Area, Central Sulawesi Suni, Muhammad Adam; Maarif, Fadjri; Basoka, Muhammad Darmawan; Rafiq, Muhammad; Baharuddin, Rhamdhani Fitrah
MAKILA Vol 19 No 1 (2025): MAKILA: Jurnal Penelitian Kehutanan
Publisher : Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/makila.v19i1.17651

Abstract

Land cover within Lore Lindu National Park is undergoing a continuous transformation driven by both natural processes and anthropogenic pressures. Accurate mapping and classification of land cover types are critical for informed conservation planning and sustainable ecosystem management. This study aims to assess the effectiveness of Sentinel-2A satellite imagery combined with the supervised Maximum Likelihood Classification (MLC) method in delineating land cover types within the Lore Lindu National Park, Central Sulawesi. The research was conducted from August to December 2023 and involved four primary stages: image pre-processing through layer stacking, land cover classification, field verification (ground truthing), and accuracy assessment. The classification results yielded an Overall Accuracy (OA) of 83.75%, indicating a high level of reliability. A total of fifteen distinct land cover classes were identified, with secondary dryland forest occupying the most significant proportion of the area (approximately 80.60%), followed by primary dryland forest, plantation areas, and smaller fractions of rice fields, mining zones, and water bodies. These findings underscore the utility of Sentinel-2A imagery, in conjunction with the Maximum Likelihood algorithm, as a dependable tool for land cover mapping in tropical protected environments. The results provide a valuable spatial basis for developing targeted conservation strategies and enhance the understanding of landscape dynamics within the park.
Understanding Generation Z's Ecotourism Motivation and Perception in Central Sulawesi Rif'an, Afief; Maarif, Fadjri; Situmorang, Delima Ayu Gustina
Jurnal Wasian Vol. 11 No. 2 (2024): December
Publisher : Forestry Department, University of Muhammadiyah Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62142/4wsdga12

Abstract

The emergence of Generation Z, which constitutes the majority of Indonesia's population, has the potential to drive national progress and promote environmental sustainability. This study aims to explore Generation Z's motivations toward ecotourism and examine their perceptions of ecotourism in Central Sulawesi. A qualitative research approach was employed, utilizing interviews and questionnaires as data collection methods. Respondents consisted of individuals from Generation Z (aged 11–27 years) residing in Central Sulawesi. Likert scale analysis was used to measure the level of motivation and perception among Generation Z regarding ecotourism. The findings reveal that Generation Z's motivation for ecotourism is influenced by both internal and external factors, with internal motivation being slightly more dominant (a difference of 0.23%). Furthermore, the study indicates that Generation Z's perception of ecotourism in Central Sulawesi reflects limited awareness and understanding of conservation values and environmental sustainability. Improvements in facilities and service quality were found to positively influence Generation Z's perception of ecotourism. The study concludes that enhanced development efforts can strengthen both motivation and perception, thereby increasing participation levels and fostering a positive impact on ecotourism.