Publication
Using remote sensing to map and explain the distribution pattern of Acacia species along a new highway in Brunei Darussalam
| dc.contributor.advisor | Slik, John Willem Frederik, Professor | |
| dc.contributor.advisor | Teck, Daphne Ching Lai | |
| dc.contributor.author | Nur ‘Izzah Amal Afiqah Hamdani | |
| dc.date.accessioned | 2026-11-12T02:37:32Z | |
| dc.date.available | 2026-11-12T02:37:32Z | |
| dc.date.issued | 2024 | |
| dc.description | xviii, 80 pages : illustrations ; 30 cm | A thesis submitted to the Environmental and Life Sciences Programme, Faculty of Science, Universiti Brunei Darussalam in fulfilments for the Master of Science in Biodiversity by Research | Thesis is also available in CD and is not for loan or reference use | Thesis (Masterof Sciences in Biodiversity) - Universiti Brunei Darussalam, 2024 | Includes bibliographical references pages 59-74. | |
| dc.description.abstract | Alien plant species can pose a threat to biodiversity when their spread becomes uncontrollable. Acacia species have been observed to invade not only roadside areas but also residential zones, agricultural lands, and forest edges, despite the absence of intentional planting. The construction of highways significantly contributes to its spread, as large-scale linear disturbances create favorable conditions for invasive species across these diverse environments. Hence, roads should form a main target for invasive species management. To inform conservation and aid management of invasive species it is crucial to study the spread and abundance of non-native species and their impact on native ecosystems. This study is aimed at mapping Acacia species (4. mangium and close relatives) distribution, and abundance, along the recently opened Telisai-Lumut highway which was constructed along the edge of a Forest Reserve, Aerial images were obtained for 10 sample sites along the highway by using Unmanned Aerial Vehicle (UAV) apparatus (Phantom 4, DJI Mavic 2 Pro, and DJI Mavic 2 Air) which were flown over the area of interest. Acacia's location and abundance were determined up to 200 m distance from both sides of the highway for the 10 sample sites. We found over 2077 Acacia trees in the 10 sample sites, 840 trees (23.9 trees/ha) on the coastal side of the road and 1237 trees (20.5 trees/ha) at the Andulau Forest Reserve side (inland) of the road. Acacia occurrences varied, depending on elevation, land use, availability of open area, and distance to the road. Our study shows that the highway provided an opportunity for Acacia species to spread along the open road edges and in some cases merge into the forest edge. The presence of these Acacia's near the forest edge forms a potential threat for forest integrity in the future. While it may not readily invade closed canopy forests, the more open canopies at forest edges create conditions where it can outcompete native trees, potentially altering the composition and dynamics of these ecosystems in the future. Using UAVs provided a cost-effective method of monitoring the presence and abundance of Acacia trees in the research area and may thus be an important tool for efficient management of this invasive species. | |
| dc.description.sponsorship | Faculty of Science universiti Brunei Darussalam | |
| dc.format.extent | xviii, 80 pages | |
| dc.identifier.uri | https://repository.ubd.edu.bn/handle/123456789/4857 | |
| dc.language.iso | en | |
| dc.publisher | Universiti Brunei Darussalam | |
| dc.subject | Dissertation Universiti Brunei Darussalam | |
| dc.subject | Acacia -- Brunei Darussalam | |
| dc.subject | Invasive plants -- Brunei Darussalam | |
| dc.subject | Remote-sensing maps -- Brunei Darussalam | |
| dc.title | Using remote sensing to map and explain the distribution pattern of Acacia species along a new highway in Brunei Darussalam | |
| dc.title.alternative | KTes SD397.A2 I99 2024 | |
| dc.type | Master’s Thesis | |
| dspace.entity.type | Publication |
