1 / 20

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

Village based data approach for Orang Utan habitat suitability mapping in Borneo . L.B.Prasetyo, K.Mengersen, E. Meijaard, D.Buchori, Lennie, Yoki, B. Okarda. BOGOR AGRICULTURAL UNIVERSITY & TNC ATBC Meeting Bali-Indonesia 2010 . Introduction.

caia
Download Presentation

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

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Village based data approach for OrangUtan habitat suitability mapping in Borneo L.B.Prasetyo, K.Mengersen, E. Meijaard, D.Buchori, Lennie, Yoki, B. Okarda BOGOR AGRICULTURAL UNIVERSITY & TNC ATBC Meeting Bali-Indonesia 2010

  2. Introduction • In Borneo : 300 distinct Orang Utan (OU) population, distributes in 130,919 km2 (2004) • Needs huge effort to map its habitat and population condition (large amount of money & time needed) • In 2008 : new approach based on structured-interview based approach to villagers (687 villages, 10 villagers each, 32 questions and 34 optional sub-questions) • Relative Abundance of OU • Conflict of OU and Community (rate killing) • Socio, culture/tribes & economic background of community • Understanding the community knowledge of OU regarding its status/regulation • etc

  3. METHOD • Logistic Regression Model • Where : P = Absence/Presence of OU ß ji = Independent Variables P : Relative Abundance data from previous result

  4. Note INDEPENDENT VARIABEL (Phisical & Socio-economics)

  5. METHOD : Village sampling Distribution of OU (PHVA 2004) Number Village : 1,725 Number sample : 687 villages

  6. METHOD : Sample of villages

  7. METHOD : Sample of villages Total area : 5522 Grid each 25km2 (West Borneo, East Borneo, Central Borneo) Samplearea is forested area (based on data in 2006) which overlapping with village survey location Sampling area : 1104 Grid – Hawth Tools generated random sampling Presence area is sampling area with presence data from survey (Relative Abundance/RA = 1, 2,3, or 4) Absence Area is sampling area with absence data (RA= 0)

  8. Nagelkerke R Square = 0.054

  9. FUTURE THREAT & POTENTIAL SUITABLE HABITAT Band 1 : HH Band 2 : HV Band 3 : HH-HV/HH+HV (Normalized = Decomposed band) ALOS PALSAR (2008) RGB : HH,HV,Normalized Courtesy : JAXA & JICA

  10. IMPORTANT SUITABLE HABITAT Gn. Palung National Park

  11. IMPORTANT SUITABLE HABITAT TN. Bukit Baka & Bukit Raya

  12. IMPORTANT SUITABLE HABITAT TN. Sebangau

  13. IMPORTANT SUITABLE HABITAT TN. Kutai

  14. THREAT OF POTENTIAL SUITABLE HABITAT (OIL PALM)

  15. THREAT OF POTENTIAL SUITABLE HABITAT (OIL PALM)

  16. Conclusion • There are other variables out of variables utilized in the model • Habitat of OU tend to distribute at lower altitude, far from river distribution, steeper slope and remote place (limited road access) • Analysis showed based on 2010 Alos Palsar data, suitable habitat already converted to oil palm plantation. • Conservation area is the only potential suitable habitat, even tough is not free from encroachment/conversion

More Related