GEOG 596A

Identifying Potential Dispersal Corridors for the Common Chimpanzee (Pan

troglodytes)in

Hoima District, Uganda

Marta Jarzyna

Presentation Overview

• Common Chimpanzee• Study Area• Objectives• Data and Methods

- Field Data Collection- Modeling and Analysis

• Anticipated Results• Timeline

Common chimpanzee – Pan troglodytes

• Closest living relatives to modern human being

• Found in tropical forests of Western and Central Africa (21 countries)

• IUCN Conservation Status: Endangered

Common Chimpanzee Study Area Objectives Data&Methods Anticipated Results Timeline

Photo: M. Jarzyna

Study Area - Uganda

Common Chimpanzee Study Area Objectives Data&Methods Anticipated Results Timeline

Common Chimpanzee Study Area Objectives Data&Methods Anticipated Results Timeline

Study Area - Hoima

Main objective: Establish a potential dispersal corridor for the common chimpanzee (P. troglodytes) between Bugoma and Budongo

In detail:• Evaluate chimp density and distribution in Hoima• Conduct landscape analysis• Propose dispersal corridor route

Common Chimpanzee Study Area Objectives Data&Methods Anticipated Results Timeline

Objectives

• Field Data Collection (Completed for GEOG 596C)- Mammal Surveys- Nest Census

• Modeling and Analysis- Species Distribution Model- Landscape Analysis- Least-Cost Path Analysis

Common Chimpanzee Study Area Objectives Data&Methods Anticipated Results Timeline

Data and Methods

Common Chimpanzee Study Area Objectives Data&Methods Anticipated Results Timeline

Field Data Collection – Monitoring Locations

• Itohya Forest

• Kyampuro Forest

• Birungu Forest

Common Chimpanzee Study Area Objectives Data&Methods Anticipated Results Timeline

Field Data Collection – Monitoring LocationsItohya Kyampuro

Birungu

Photo: M. Jarzyna

Photo: M. Jarzyna

Photo: M. Jarzyna

• Distance Sampling • Line transects• Perpendicular distance to observed objects of interests

Common Chimpanzee Study Area Objectives Data&Methods Anticipated Results Timeline

Field Data Collection – Survey Method

Photo: M. Jarzyna

• Conducted in October 2009 through January 2010• Distance sampling• Conducted in the morning• Approximately 3 km of transects

should be sampled• Data collected:

- Mammal species- Distance of the animal/group to the observer- Height of the animal/group- Number of animals in group

• Statistical analysis using DISTANCE

Common Chimpanzee Study Area Objectives Data&Methods Anticipated Results Timeline

Field Data Collection – Mammal Survey

Photo: M. Jarzyna

• Conducted in October 2009 through January 2010• One chimpanzee >4 years old builds one nest a night• Distance sampling• Three main methods:

- Standing Crop Count- Marked Nest Count- Encounter Rate

Common Chimpanzee Study Area Objectives Data&Methods Anticipated Results Timeline

Field Data Collection – Nest Census

Photo: M. Jarzyna

Common Chimpanzee Study Area Objectives Data&Methods Anticipated Results Timeline

Field Data Collection – Nest Census

Common Chimpanzee Study Area Objectives Data&Methods Anticipated Results Timeline

Field Data Collection – DISTANCE

• Allows for design and analysis of distance sampling surveys of wildlife populations

• Calculates the density and abundance of detected objects • Probability of detecting an object decreases with increasing

distance from the observer• Statistical tools to estimate the drop-off in detection

probability

Common Chimpanzee Study Area Objectives Data&Methods Anticipated Results Timeline

Field Data Collection – DISTANCE

ID Analysis ConditionDensity

[individual/km2]

1 Observation = ‘All Mammals’ 170.4

2 Observation = ‘Black-and-White Colobus’

110.0

3 Observation = ‘Mangabey’ 22.9

4 Observation = ‘Red-tailed Monkey’ 95.9

5 Observation = ‘Baboon’ 22.9

B

P19% P2

13%

P319%

P46%

T12%

T24%

T31%

T44%

T517%

T61%

T72%

T81%

T921%

• Species Distribution Model – ZONATION- To establish distribution of the chimpanzee in Hoima District

• Landscape Analysis – FRAGSTATS- To establish extent and fragmentation of the focal habitat

• Least-Cost Path Analysis – ArcGIS- To establish potential dispersal corridors

Common Chimpanzee Study Area Objectives Data&Methods Anticipated Results Timeline

Modeling and Analysis

• Conservation planning software• When field monitoring not feasible

- time - labor

• Approximate distribution of the chimpanzee• Landscapes categorization - accordingly to the value for the chimpanzee

Common Chimpanzee Study Area Objectives Data&Methods Anticipated Results Timeline

Species Distribution Model - ZONATION

Zonation 2002

• Spatial pattern analysis program• Patch level• Spatial configuration - patch size distribution and density,

patch shape complexity, edge metrics, core area, isolation/proximity, connectivity, etc.

Common Chimpanzee Study Area Objectives Data&Methods Anticipated Results Timeline

Landscape Analysis - FRAGSTATS

Area [ha] Perimeter [m]

Perimeter-Area Ratio [-]

Core Area [ha] Proximity Index [-]

Sum 112,151.4 5,442,720 N/A 100,762.4 N/A

Average 843.2 40,923 291.2 757.6 15,990.1

Median 8.73 1920 237.5 4.5 72

Maximum 49,541.6 1,829,100 1333.3 46,904.4 137,616.5

Minimum 0.09 120 25.3 0 0

Common Chimpanzee Study Area Objectives Data&Methods Anticipated Results Timeline

Least Cost-Path Analysis - ArcGIS

• Dispersal suitability layer created based on the landscape metrics values

• Cost associated with crossing the patches

ArcGIS 2010

Common Chimpanzee Study Area Objectives Data&Methods Anticipated Results Timeline

Anticipated Results

• Data modeling and analysis (by July 15)

- DISTANCE – density of the chimpanzee population- ZONATION – species distribution- FRAGSTATS – landscape analysis - ArcGIS – least-cost path analysis

• Compiling results (by July 31)

• Discussion of the results (by August 15)

• Final edits to the report/paper (by September 15)

Common Chimpanzee Study Area Objectives Data&Methods Anticipated Results Timeline

Next Steps/Timeline

• Dr. Doug Miller• Dr. Joe Bishop• Dr. Bettina Grieser Johns• Chimpanzee Sanctuary and Wildlife Conservation Trust• Wildlife Conservation Society Uganda• WWF Uganda

Acknowledgements

Questions?

Photo: M. Jarzyna

Photo: M. Jarzyna