Nest-Site Selection And Distribution Model Of The White-Bellied Sea-Eagle Haliaeetus Leucogaster Using Geographic Information System
The White-bellied Sea-Eagle (Haliaeetus leucogaster) is the largest raptor species in Penang as well as in Malaysia and is commonly sighted in coastal and near coastal of Penanng National Park. The species distribution is island-wide but with a high concentration in Penang National Park, in terms...
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| Main Author: | |
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| Format: | Thesis |
| Language: | English |
| Published: |
2012
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| Subjects: | |
| Online Access: | http://eprints.usm.my/46041/1/MOHD%20SYAFIQ%20MASDUQI%20BIN%20MOHD%20ZAINUDIN_HJ.pdf |
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| Summary: | The White-bellied Sea-Eagle (Haliaeetus leucogaster) is the largest raptor
species in Penang as well as in Malaysia and is commonly sighted in coastal and near
coastal of Penanng National Park. The species distribution is island-wide but with a
high concentration in Penang National Park, in terms of nesting sites and population
density. The main aim of this study is to develop the predictive distribution model and
map the potential and suitable nesting habitat for the species in the study area based on
nest-site selection analysis. A total of 34 nesting sites have been located during the
survey on December 2007 to April 2009 in coastal forest of Penang National Park and
therefore used in nest-site selection analysis by comparing the selected and available
habitat using t-test analysis. Seven habitat features or variables were chosen for analysis;
elevation, slope, aspect, ruggedness index, distance to road, distance to building and
distance to water. Variables of elevation, slope, distance to road and distance to water
showed significance result (P < 0.05). The information from the nest-site selection
analysis was used to build the predictive distribution model for the species. Thirteen
independent nests located at evaluation area were used for model validation and give
30.2% accuracy and showed satisfactory result when tested against random points. The
information and results from this study is highly valuable and crucial for future
management and conservation of the species. |
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