Archive for July, 2010

Village based data approach for Orang Utan habitat suitability mapping in Borneo

1) L.B.Prasetyo, 2) K.Mengersen, E. Meijaard, 1,3) D.Buchori, 3)Lenny, 4) Yoki H, 1) B. Okarda, 1) A.Rizali

1) Bogor Agricultural University, 2) University of Quensland, 3) TNC, 4) OCSP


Habitat Orang utan in Borneo have been decreasing due to forest conversion for plantation, forest exploitation, mining , and settlement (transmigration). Moreover, there were also orang utan killing reported occurred many parts of Borneo. Conservation effort should be taken, and for that purposes is an urgent need to develop map of suitable habitat of orang utan.

Logistic regression approach was applied to estimate distribution of orang utan, that could be interpreted also as suitable potential habitat. The model employed binary data for dependent variable which was derived from Relative Presence (RP) data. RA data were constructed from village survey data using questioners. As for independent variable some biophysical data (Altitude, Slope, Road density, river density), and village based socio-economically (Potensi Desa/PODES) data were considered.

Logistic regression result showed that Altitude, Slope, and River density variables are significant to predict OU habitat. OU tend to distribute at lower altitude, relative higher slope and far from river. Overlay of the suitable habitat with recent ALOS PALSAR (2008) data showed that most of habitat suitable of OU already fragmented and converted into Palm oil plantation. Natural conservation area relatively still have compact habitat even though the area not free from encroachment and conversion.

Note : Presented in ATBC meeting in Bali : Mercure Hotel, 21 July 2010

Correspondence author : Prasetyo ( or

Master Thesis : Spatial Approach on Habitat Suitability of Javan Gibbon (Hylobates moloch Audebert 1797) based on Bio-Physical Characteristics Habitat: Case Study Gunung Honje Ujung Kulon National Park

Ginda Ginanjar1), Agus Priyono Kartono2), Lilik Budi Prasetyo2)

1) Master Degree Program on Biodiversity Conservation, 2) Supervisor & Co-supervisor (Dept. Forest Resources Conservation,Forestry Faculty-IPB)


Javan gibbon (Hylobates moloch Audebert 1797) is an endemic primate found only in the western and central parts of Java. According to the 2009 IUCN Red List of Threatened animal, this species is catogorized as endangered species. Javan gibbon’s habitat is restriced to floristically rich patches of relatively undisturbed lowland rain forest to low mountain rain forest mostly below 1,600 m asl found currently only in forest remnants. At present the original forest remains was decreasing. A large population javan gibbon remark in Ujung Kulon National Park (UKNP), unfortunatelly forest degradation were happened mostly in Gunung Honje area. The objectives of this research is to estimate the extent of suitability habitat, produce information characteristic, and classifield similarity habitat of Javan gibbon in Gunung Honje UKNP. This study was carried out in Gunung Honje area and Kalejetan resort UKNP on Desember 2009 to Februari 2010. Digital environmental layers such as elevation, slope, aspect, and especially vegetation type may be incorporated into predicted habitat suitability. Principal Component Analysis method on SPSS17 was used to analysed suitability habitat, mapped with ERDAS Imagine 8.6 and ArcView 3.3. Based on scoring and spatial analysis, the estimation of habitat with low suitability is about 1.760,53 ha, habitat with moderrate suitability is about 6.581,39 ha and habitat with high suitability is about 8.342,85 ha. The model validation achieve 95,45% for high siutability habitat.

keyword: javan gibbon, habitat suitability, gunung honje

Master Thesis : Habitat Suitability Analysis of Maleo (Macrocephalon maleo) in Bogani Nani Wartabone National Park

Yakub Ambagau1), Yeni A. Mulyani2), Lilik Budi Prasetyo2)

1) Master Degree Program on Biodiversity Conservation, 2) Supervisor & Co-supervisor (Dept. Forest Resesources Conservation, Forestry Faculty-IPB)


Habitat degradation is presumed as the main factor of the declining population of maleo (Macrocephalon maleo). Due to the lack of information on habitat suitability for maleo, it is important to carry out this research in Bogani Nani Wartabone National Park (BNWNP). The objectives of this research are to determine habitat suitability model for maleo and to determine suitability degree of BNWNP as a habitat for maleo. The use of habitat suitability model resulting from this research will enable both in-situ and ex-situ maleo conservation. This research proposes logistic regression to predict probability of habitat suitability for maleo. Survey was conducted to determine the presence of maleo. Pseudo-absences were selected randomly based on grid 30 x 30 m. Eighty-four presences and pseudo-absences of maleo were recorded. Fifty percent of recorded data were used to build a predictive model and the rest were used to validate the model. Habitat requirements were analyzed and quantified from digital topographic maps, ASTER DEM and Landsat 7 ETM+. The predictive model of habitat suitability was developed using backward stepwise regression. This research showed that predictive model of habitat suitability for maleo was affected by elevation, normalized difference vegetation index and distance to river. This research also showed that the unsuitable habitat (193.188 Ha) is greater than the suitable habitat (68.483 Ha) and the very suitable habitat (25.444 Ha).

Keyword : habitat suitability, logistic regression, presences, pseudo-absences, predictive model, macrocephalon maleo

Correspondence Author : Yakub Ambagau (