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Javan Surili : A Survey Population and Distribution in Mt. Slamet Central Java, Indonesia Arif Setiawan; Yohannes Wibisono; Tejo Suryo Nugroho; Ika Yuni Agustin; Mohamad Ali Imron; Satyawan Pudyatmoko; Djuwantoko .
Jurnal Primatologi Indonesia Vol. 7 No. 2 (2010)
Publisher : Pusat Studi Satwa Primata LPPM-IPB

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (499.756 KB)

Abstract

Abstrak. Survei ini adalah penilaian yang pertama terhadap populasi dan distribusi surili jawa (Presbytis fredericae) di Gunung Slamet, Jawa Tengah, Indonesia. Survei telah dilakukan selama 150 hari di hutan pegunungan dan menyusuri jalur-jalur yang ada sepanjang 125,38 km. Survey ini telah mencatat 233 individu dari 54 kelompok monyet surili. Metode garis transek telah diterapkan dalam survey ini dan estimasi kerapatan surili jawa adalah 5,6 – 8,16 individu/km2, yang menempati  198.68 km2 potensial habitat. Estimasi populasi surili jawa di Gunung Slamet kurang lebih 1172 – 1621 individu. Perburuan, penebangan liar, pengumpulan kayu bakar, perburuan tanaman hias adalah ancaman yang menyebabkan degradasi habitat surili jawa di hampir semua lereng gunung. Ini adalah sub-populasi terbesar yang tersisa di jawa tengah, jadi perlindungan terhadap Gunung Slamet adalah sangat penting untuk menyelamatkan populasi monyet dan habitatnya, sebagaimana kita ketahui bahwa  distribusi sub-species Presbytis di jawa tengah tidak terdapat di dalam kawasan konservasi. Peningkatan status perlindungan hutan, penegakan hukum, program kesadaran konservasi, pemberdayaan komunitas harus didukung dan diteruskan di Gunung Slamet.Abstract. This survey is the first assessment of the population and distribution of the Javan surili  (Presbytis fredericae) on Mt.Slamet, Central Java, Indonesia. The survey was carried out for a total of 150 days in the mountainous forest, while walking 125.38 km along existing trails. There were 233 individuals recorded, belonging to 54 groups of monkeys. The line transect method was applied during the survey and it was estimated that there were 5.6 up to 8.16 individuals/km2  density of Javan surili, occuping 198.68 km2, indicating a possible potential habitat. The population of the Javan surili on Mt.Slamet was estimated at approximately 1172 – 1621 individuals. Hunting, illegal logging, fuel wood collection, ornamental forest plants gathering were threats which were the cause of massive degradation of the Javan surili habitat across the facing slope. With its largest sub-population remaining in Central Java,  protecting the Mt. Slamet is urgently needed to save this monkey population and its habitat, as it is known that there is no conservation area in the range distribution of Presbytis subspecies in Central Java.  Increasing the forest protection status, law enforcement, conservation awareness programs, and community based empowerment should be supported and continued in Mt. Slamet.Key words: rekrekan, surili, Mt.Slamet, population,  distribution, endangered
DYNAMIC PROJECTION OF CLIMATE CHANGE SCENARIOS ON TROPICAL TREES' ABOVEGROUND CARBON STORAGE IN WEST PAPUA Maulana, Sandhi Imam; Wibisono, Yohannes
Indonesian Journal of Forestry Research Vol. 4 No. 2 (2017): Indonesian Journal of Forestry Research
Publisher : Association of Indonesian Forestry and Environment Researchers and Technicians

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59465/ijfr.2017.4.2.107-120

Abstract

Through photosynthetic activities, tropical forest ecosystems capture and store the most significant carbon emissions in the form of biomass compared with other types of vegetation, and thus play a highly crucial part in dealing with climate change. However, such important role of tropical forest is very fragile from extreme changes in temperature and precipitation, because carbon storage in forest landscape is strongly related to those climate variables. This paper examines the impacts of future climate disturbances on aboveground carbon storage of three tropical tree species, namely Myristica sp., Palaquium sp., and Syzygium sp. through “what if ” scenarios evaluation using Structural Thinking and Experimental Learning Laboratory with Animation (STELLA). Results highlighted that when the dynamic simulation was running with five IPCC’s climate change scenarios (Constant year 2000 concentrations, B1, A1T, A2, and A1F1) for 200 years simulation period, then moderate climate change scenarios occured, such as B1 and A1T, would have already caused significant statistical deviation to all of those tree species. At the worst level of A1F1, the 4°C temperature was coupled with 20% reduction in precipitation. Palaquium sp. showed the highest reduction of aboveground carbon storage with about 17.216% below its normal value. This finding implies the negative climate feedbacks should be considered seriously to ensure the accuracy of long term forest carbon accounting under future climate uncertainty.
DEVELOPMENT OF LOCAL ALLOMETRIC EQUATION TO ESTIMATE TOTAL ABOVEGROUND BIOMASS IN PAPUA TROPICAL FOREST Maulana, Sandhi I.; Wibisono, Yohannes; Utomo, Singgih
Indonesian Journal of Forestry Research Vol. 3 No. 2 (2016): Indonesian Journal of Forestry Research
Publisher : Association of Indonesian Forestry and Environment Researchers and Technicians

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59465/ijfr.2016.3.2.107-118

Abstract

Recently, pantropical allometric equations have been commonly used across the globe to estimate the aboveground biomass of the forests, including in Indonesia. However, in relation to regional differences in diameter, height and wood density, the lack of data measured, particularly from eastern part of Indonesia, may raise the question on accuracy of pantropical allometric in such area. Hence, this paper examines the differences of local allometric equations of Papua Island with equations developed by Chave and his research groups. Measurements of biomass in this study were conducted directly based on weighing and destructive samplings. Results show that the most appropriate local equation to estimate total aboveground biomass in Papua tropical forest is Log(TAGB) = -0.267 + 2.23 Log(DBH) +0.649 Log(WD) (CF=1.013; VIF=1.6; R2= 95%; R2-adj= 95.1%; RMSE= 0.149; P<0.001). This equation is also a better option in comparison to those of previously published pantropical equations with only 6.47% average deviation and 5.37 points of relative bias. This finding implies that the locally developed equation should be a better option to produce more accurate site specific total aboveground biomass estimation.