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

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

METHOD

•

_{Logistic Regression Model}

–

_{Where : P = Absence/Presence of OU}

ß

ji = Independent Variables

•

Abbrevia tion

Variable Unit

alt _{Altitude (RSTM) Meter Above}

Sea Level

slo _{Slope (RSTM) Percent}

riv _{Distance From River (River}

network)

Kilometer

road _{Road Density (Road network :}

Landsat)

Km/Km2

popdens _{Population Density (PODES) People/Km}2

agr _{Agricultural family (PODES) Number of}

family

non_ agr _{Non Agricultural family}

(PODES)

labor _{Agricultural Labor (PODES) Number of}

Labour

jamkes _{JAMKES recipient (PODES) Number of}

recipient

Note

Number Village : 1,725

Number sample : 687 villages Distribution of OU (PHVA 2004)

1. Total area : 5522 Grid each 25km

2

(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)

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 1.062 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 6.1

1 13 987 98.7

FUTURE THREAT & POTENTIAL SUITABLE HABITAT

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

Courtesy : JAXA & JICA Band 1 : HH

Band 2 : HV

Band 3 : HH-HV/HH+HV (Normalized =

IMPORTANT SUITABLE HABITAT

IMPORTANT SUITABLE HABITAT

IMPORTANT SUITABLE HABITAT

IMPORTANT SUITABLE HABITAT

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}