Spatial Modelling of Deforestation Based on Social Driving Force in South Sulawesi and West Sulawesi from 1990 to 2016

Abstract

Deforestation is a permanent change of forest cover area to non-forest cover area. Social factors contribute more to the occurrence of deforestation, so this study was directed to examine the social factors that drive deforestation. Research location selected based on the key vulnerability of deforestation profiles. This study only used moderately vulnerability and vulnerability profile. Data analysis in this research using PCA (Principal Component Analysis) Method. The results explained that the Spatial Deforestation Model in South Sulawesi and West Sulawesi have differences based on the vulnerability profile. The dominant deforestation profiles affected were population density, productive age and employment. Population density affects deforestation because the site is always experiencing an increase in population and is not balanced with the extent of its territory, especially on vulnerable profiles. Productive age is very influential and increasing. The employment is also one of the most influencing of deforestation. The field of education itself does not give a significant effect. The spatial model of deforestation based on social factors in South Sulawesi shows that in the same profile different influences were found. In West Sulawesi, social involvement tends to be the same for each profile. The influence of population, productive age and availability of regions has a significant influence on the incidence of deforestation.

Assessing potential habitat suitability of vulnerable endemic species: a case study of Diospyros celebica Bakh and Rhyticeros cassidix

“…The distribution of high economic value is only found in the districts of Poso, Donggala, and Parigi (Soenarno, 1996). It is estimated that the remaining stands are only found in protected areas, while outside protected area areas it is estimated that they tend to decrease, especially in West Sulawesi and Central Sulawesi given the high rate of deforestation in these two areas (Rijal et al 2019). Meanwhile, R. cassidix is spread throughout almost the entire landscape of Sulawesi and is most easily found in primary and secondary forest areas that have large trees.…”

“…The global population size of R. cassidix has not been quantified, but the species is reported to be declining rapidly due to habitat destruction, hunting, and forest fires (del Hoyo et al 2001;Kinnaird & O'Brien, 2007). Sulawesi has experienced deforestation and is in the second largest position after Kalimantan with a deforestation rate of 331,822 ha/year or the equivalent of 2.7% of Sulawesi's forest area (Rijal et al 2019). This is likely to pose a significant threat to the future of D. celebica Bakh and R. cassidix.…”

Trends in the bushmeat market trade in North Sulawesi and conservation implications

“…Alternatively, there may simply be less wildlife available to hunt. Lowland forests in Sulawesi have been increasingly depleted by resource extraction and agriculture (Margono et al ., 2014), with an annual deforestation rate of 2.7% of total forest area (Rijal et al ., 2019). Although current population data are unavailable, populations of 70% of the taxa identified to a species level during this study are decreasing according to the IUCN Red List.…”

Analisis lokasi rawan banjir berdasarkan faktor fisik Kabupaten Mamuju

“…Sebagai ibu kota Provinsi Sulawesi Barat, Kabupaten Mamuju menjadi salah satu wilayah yang saat ini proses pengembangannya bukan hanya berpusat pada sektor pertanian, namun sangat aktif dalam proses pembangunan infrastuktur sehingga memudahkan proses terjadinya alih fungsi lahan hutan (deforestasi). Laju deforestasi yang cepat serta didukung dengan banyaknya sungai yang melintas di Kabupaten Mamuju menyebabkan wilayah ini menjadi daerah yang rawan terhadap bencana banjir [4]. Bahkan dalam kurun waktu sepuluh tahun (2009 -2018) Kabupaten Mamuju telah mengalami sepuluh kali kejadian banjir yang menyebabkan kerugian dari segi sosial dan ekonomi seperti rusaknya infrastruktur dan korban jiwa [5].…”