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close this section of the library Takeda, Shingo

View the PDF document Vegetation analysis and spatial modelling of threats of invasive species using geospatial technologies (GST) : a case study of the Sigatoka Sand Dunes National Park, Fiji Islands
Author:Takeda, Shingo
Institution: The University of the South Pacific
Award: Ph.D.
Subject: Invasive plants -- Control -- Fiji -- Sigatoka, Vegetation management -- Fiji -- Sigatoka, Plant communities -- Fiji -- Sigatoka -- Mathematical models, Plant communities -- Fiji -- Sigatoka -- Remote sensing, Vegetation surveys -- Fiji -- Sigatoka -- Mathematical models, Vegetation surveys -- Fiji -- Sigatoka -- Remote sensing,Sigatoka Sand Dunes (Fiji)
Date: 2010
Call No.: SB 613 .F5 T35 2010
BRN: 1179675
Copyright:10-20% of this thesis may be copied without the authors written permission

Abstract: The vegetation of the Sigatoka Sand Dunes is regarded as of considerable conservation significance because of the unique sand dune environment and the presence of many plant species that are uncommon in typical Fijian beach forests. The increasingly degraded and threatened status of the original native forest communities due to human disturbance was addressed by Kirkpatrick and Hassall (1981). This, plus the unique nature of the dunes, resulted in the designation of the site as a national park in 1989. Although it is apparent that impacts due to direct destruction of natural or semi-natural habitats have been reduced significantly since the establishment of the park, it is clear that plant invasion or succession has continued unabated, causing further changes in species composition and community structure. However, the geographical scale of the site, coupled with the temporal nature of plant communities in time and space and the diverse nature of the sand dune vegetation itself, makes it very difficult to perceive the nature of the vegetation changes and to pinpoint priority problems that need to be addressed to ensure the long-term survival of the remaining native species associations.
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