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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Main Author: Kho, Siaw Kiong
Format: Final Year Project Report
Language:English
Published: Universiti Malaysia Sarawak, (UNIMAS) 2023
Subjects:
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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spelling 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)
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic GE Environmental Sciences
QL Zoology
spellingShingle GE Environmental Sciences
QL Zoology
Kho, Siaw Kiong
Modelling Spatial Distribution Of Chalcosoma In Sarawak
description 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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score 13.18916