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• 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

METHOD• Logistic Regression Model

– Where : P = Absence/Presence of OU ß ji = Independent Variables

• P : Relative Abundance data from previous result

Abbreviation Variable Unit

alt Altitude (RSTM) Meter Above Sea Level

slo Slope (RSTM) Percentriv Distance From River (River network) Kilometerroad Road Density (Road network : Landsat) Km/Km2

popdens Population Density (PODES) People/Km2

agr Agricultural family (PODES) Number of familynon_ agr Non Agricultural family (PODES) Number of familyks Pra KS and KS 1 family (PODES) Number of familylabor Agricultural Labor (PODES) Number of Labourjamkes JAMKES recipient (PODES) Number of recipient

Note

INDEPENDENT VARIABEL(Phisical & Socio-economics)

Number Village : 1,725Number sample : 687 villages

Distribution of OU (PHVA 2004)

METHOD : Village sampling

METHOD : Sample of villages

1. Total area : 5522 Grid each 25km2 (West Borneo, East Borneo, Central Borneo)

2. Sample area is forested area (based on data in 2006) which overlapping with village survey location

3. Sampling area : 1104 Grid – Hawth Tools generated random sampling

4. Presence area is sampling area with presence data from survey (Relative Abundance/RA = 1, 2,3, or 4)

5. Absence Area is sampling area with absence data (RA= 0)

METHOD : Sample of villages

B S.E. Wald df Sig. Exp(B)

95% C.I.for EXP(B)

Lower Upper

Step 1a Alt -.002 .001 14.012 1 .000 .998 .997 .999

slo .032 .014 5.150 1 .023 1.033 1.004 1.062riv .086 .026 10.858 1 .001 1.090 1.035 1.147road -.283 .149 3.600 1 .058 .753 .562 1.009popdens -.002 .001 1.553 1 .213 .998 .995 1.001

agr .000 .000 1.965 1 .161 1.000 .999 1.000

non_agr .000 .000 .612 1 .434 1.000 1.000 1.001

ks .000 .001 .085 1 .770 1.000 .998 1.001

labour .000 .001 .000 1 .994 1.000 .999 1.001

jamkes .000 .001 .085 1 .770 1.000 .998 1.002

Constant .723 .154 22.095 1 .000 2.060

Nagelkerke R Square = 0.0540 1 %

presence 0 61 939 6.11 13 987 98.7

Overall Percentage 52.4

FUTURE THREAT & POTENTIAL SUITABLE HABITAT

ALOS PALSAR (2008) RGB : HH,HV,Normalized

Courtesy : JAXA & JICA

Band 1 : HHBand 2 : HVBand 3 : HH-HV/HH+HV(Normalized = Decomposed band)

IMPORTANT SUITABLE HABITAT

Gn. Palung National Park

IMPORTANT SUITABLE HABITAT

TN. Bukit Baka & Bukit Raya

IMPORTANT SUITABLE HABITAT

TN. Sebangau

IMPORTANT SUITABLE HABITAT

TN. Kutai

THREAT OF POTENTIAL SUITABLE HABITAT (OIL PALM)

THREAT OF POTENTIAL SUITABLE HABITAT (OIL PALM)

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