Village based data approach for Orang utan habitat

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

Note

INDEPENDENT VARIABEL
(Phisical & Socio-economics)
Abbrevia
tion

Variable

Unit

alt

Altitude (RSTM)

slo
riv

Slope (RSTM)
Distance From River (River
network)
Road Density (Road network : Km/Km2
Landsat)
Population Density (PODES)
People/Km2
Agricultural family (PODES)
Number of

family
Non Agricultural family
Number of
(PODES)
family
Pra KS and KS 1 family
Number of

road
popdens
agr
non_ agr
ks

Meter Above
Sea Level
Percent
Kilometer

METHOD : Village sampling

Distribution of OU (PHVA 2004)

Number Village : 1,725
Number sample : 687 villages

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)

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
presence 0
61
939
1
13
987
Overall Percentage

%
6.1
98.7
52.4

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

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