Village based data approach for Orang utan habitat

7/11/2012

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

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Note

INDEPENDENT VARIABEL
(Phisical & Socio-economics)
Abbreviation

Variable

Unit

alt

Altitude (RSTM)

slo
riv
road
popdens
agr
non_ agr
ks
labor

jamkes

Slope (RSTM)
Distance From River (River network)
Road Density (Road network : Landsat)
Population Density (PODES)
Agricultural family (PODES)
Non Agricultural family (PODES)
Pra KS and KS 1 family (PODES)
Agricultural Labor (PODES)
JAMKES recipient (PODES)

Meter Above Sea
Level
Percent
Kilometer
Km/Km2
People/Km2
Number of family
Number of family

Number of family
Number of Labour
Number of recipient

METHOD : Village sampling

Distribution of OU (PHVA 2004)

Number Village : 1,725
Number sample : 687 villages

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METHOD : Sample of villages

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)

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95% C.I.for
EXP(B)
B

S.E.

Wald

df

Sig.

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

1.062

riv

.086 .026

10.858

1

.001

1.090

1.035

1.147

road

-.283 .149

3.600

1

.058

.753

.562

1.009

popdens

-.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 = 0.054

0
1
0
61
939
1
13
987
Overall Percentage

presence

%
6.1
98.7
52.4

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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

IMPORTANT SUITABLE HABITAT

Gn. Palung National Park

IMPORTANT SUITABLE HABITAT

TN. Bukit Baka & Bukit Raya

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IMPORTANT SUITABLE HABITAT

TN. Sebangau

IMPORTANT SUITABLE HABITAT

TN. Kutai

THREAT OF POTENTIAL SUITABLE HABITAT (OIL PALM)

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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

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