Modelling Spatial Distribution Of Chalcosoma In Sarawak
This research focuses on the spatial distribution and population dynamics of Chalcosoma beetles in Sarawak. The study aims to provide insights into their ecology and their habitat preferences. The methodology employed a quantitative research approach, utilizing data flow diagrams, ArcGIS mappi...
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Universiti Malaysia Sarawak, (UNIMAS)
2023
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Online Access: | http://ir.unimas.my/id/eprint/44080/1/Kho%20Siaw%20Kiong%20%28fulltext%29.pdf http://ir.unimas.my/id/eprint/44080/ |
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my.unimas.ir.440802024-01-11T08:45:13Z http://ir.unimas.my/id/eprint/44080/ Modelling Spatial Distribution Of Chalcosoma In Sarawak Kho, Siaw Kiong GE Environmental Sciences QL Zoology This research focuses on the spatial distribution and population dynamics of Chalcosoma beetles in Sarawak. The study aims to provide insights into their ecology and their habitat preferences. The methodology employed a quantitative research approach, utilizing data flow diagrams, ArcGIS mapping, and a linear regression model. Data collection involved fieldwork, literature review, and web sources. The collected data were analyzed, mapped using ArcGIS software, and correlated with oil palm plantation areas. According to the results, Chalcosoma beetles are mainly found in coastal areas, especially in secondary forests and pest swamp forests. The oil palm plantations are shown in the distribution maps as areas where beetle populations overlap, which suggests that the beetles utilise these plants as habitats and food sources. Based on the locations of oil palm plantations, the linear regression model correctly predicts beetle abundance. The work advances our understanding of the Chalcosoma beetle and its ecological behaviour, which advances the field of entomology. By highlighting significant ecosystems and regions with a high beetle population, the data could direct conservation efforts and land management procedures. Additionally, the study acknowledges certain limitations, such as the need for larger, more representative datasets and the exploration of other environmental variables. Suggest future research opportunities including expanding datasets, incorporating remote sensing techniques, investigating other environmental parameters, and studying population dynamics and genetic analyses. By addressing these limitations and conducting further research, Chalcosoma beetles can be understood more fully, benefiting conservation efforts and contributing to the wider field of entomology Universiti Malaysia Sarawak, (UNIMAS) 2023 Final Year Project Report NonPeerReviewed text en http://ir.unimas.my/id/eprint/44080/1/Kho%20Siaw%20Kiong%20%28fulltext%29.pdf Kho, Siaw Kiong (2023) Modelling Spatial Distribution Of Chalcosoma In Sarawak. [Final Year Project Report] (Unpublished) |
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GE Environmental Sciences QL Zoology Kho, Siaw Kiong Modelling Spatial Distribution Of Chalcosoma In Sarawak |
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This research focuses on the spatial distribution and population dynamics of
Chalcosoma beetles in Sarawak. The study aims to provide insights into their ecology
and their habitat preferences. The methodology employed a quantitative research
approach, utilizing data flow diagrams, ArcGIS mapping, and a linear regression
model. Data collection involved fieldwork, literature review, and web sources. The
collected data were analyzed, mapped using ArcGIS software, and correlated with oil
palm plantation areas. According to the results, Chalcosoma beetles are mainly found
in coastal areas, especially in secondary forests and pest swamp forests. The oil palm
plantations are shown in the distribution maps as areas where beetle populations
overlap, which suggests that the beetles utilise these plants as habitats and food
sources. Based on the locations of oil palm plantations, the linear regression model
correctly predicts beetle abundance. The work advances our understanding of the
Chalcosoma beetle and its ecological behaviour, which advances the field of
entomology. By highlighting significant ecosystems and regions with a high beetle
population, the data could direct conservation efforts and land management
procedures. Additionally, the study acknowledges certain limitations, such as the need
for larger, more representative datasets and the exploration of other environmental
variables. Suggest future research opportunities including expanding datasets,
incorporating remote sensing techniques, investigating other environmental
parameters, and studying population dynamics and genetic analyses. By addressing
these limitations and conducting further research, Chalcosoma beetles can be
understood more fully, benefiting conservation efforts and contributing to the wider
field of entomology |
format |
Final Year Project Report |
author |
Kho, Siaw Kiong |
author_facet |
Kho, Siaw Kiong |
author_sort |
Kho, Siaw Kiong |
title |
Modelling Spatial Distribution Of Chalcosoma In Sarawak |
title_short |
Modelling Spatial Distribution Of Chalcosoma In Sarawak |
title_full |
Modelling Spatial Distribution Of Chalcosoma In Sarawak |
title_fullStr |
Modelling Spatial Distribution Of Chalcosoma In Sarawak |
title_full_unstemmed |
Modelling Spatial Distribution Of Chalcosoma In Sarawak |
title_sort |
modelling spatial distribution of chalcosoma in sarawak |
publisher |
Universiti Malaysia Sarawak, (UNIMAS) |
publishDate |
2023 |
url |
http://ir.unimas.my/id/eprint/44080/1/Kho%20Siaw%20Kiong%20%28fulltext%29.pdf http://ir.unimas.my/id/eprint/44080/ |
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1789430358716973056 |
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13.18916 |