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Modelling the current and potential distribution of woody plants, with special emphasis on the importance of spatial scale and environmental factors

Includes bibliographical references.

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Bibliographic Details
Main Author: Rouget, Mathieu
Other Authors: Richardson, Dave
Format: Thesis
Language:English
Published: Department of Biological Sciences 2014
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access_status_str Open Access
author Rouget, Mathieu
author2 Richardson, Dave
author_browse Richardson, Dave
Rouget, Mathieu
author_facet Richardson, Dave
Rouget, Mathieu
author_sort Rouget, Mathieu
collection Thesis
description Includes bibliographical references.
format Thesis
id oai:open.uct.ac.za:11427/9771
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:32:31.718Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2014
publishDateRange 2014
publishDateSort 2014
publisher Department of Biological Sciences
publisherStr Department of Biological Sciences
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source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/9771 Modelling the current and potential distribution of woody plants, with special emphasis on the importance of spatial scale and environmental factors Rouget, Mathieu Richardson, Dave Cowling, Richard M Lavorel, Sandra Milton, Suzanne Jane Botany Includes bibliographical references. The relationship between species distribution and environment has always been a central issue in ecology. The primary aim of this thesis is to explore the role of abiotic and biotic factors in mediating the distribution of woody plants, particularly invasive alien species. Predictions of the future distribution of invasive species are required for management, conservation actions, and legislation. Using predictive geographical modelling, this thesis assesses the role of spatial scale in understanding the determinants of species distribution, modelling invasion spread, and taking conservation decisions. The species distribution databases were collated in a Geographic Information System from various sources (from field mapping to remote-sensing data), and at various spatial scales (from local to sub-continental). Classification and regression trees, a flexible non-parametric statistical technique, were developed for each case study. I show that static modelling approaches, such as classification trees, are appropriate for modelling species distribution at regional to sub-continental scales. More mechanistic approaches, which include biological attributes, are required for accurate modelling of species abundance at local scale. A hierarchy of environmental factors was observed. Abiotic factors such as climate were more important for modelling species distribution at broad scales, whereas biotic factors were the fine-scale drivers of species distribution and abundance. This highlights the scale- dependence of prediction accuracy and of environmental drivers. Predictive habitat modelling was also applied to modelling future land use changes (including invasive alien species) in the context of conservation planning for the Cape Floristic Region. Effective conservation planning requires a detailed assessment of current land use patterns and future land use scenarios. Conservation planning is generally derived at regional scale but implementation takes place at finer scales. I investigated the transition from broad-scale planning to fine-scale implementation. This work emphasises the importance of diverse and fragmented habitats in measuring conservation value. This thesis concludes by linking predictive habitat modelling, species determinants, and application types to the spatial scale analysed. 2014-11-21T16:14:46Z 2014-11-21T16:14:46Z 2002 Doctoral Thesis Doctoral PhD http://hdl.handle.net/11427/9771 eng application/pdf Department of Biological Sciences Faculty of Science University of Cape Town
spellingShingle Botany
Rouget, Mathieu
Modelling the current and potential distribution of woody plants, with special emphasis on the importance of spatial scale and environmental factors
thesis_degree_str Doctoral
title Modelling the current and potential distribution of woody plants, with special emphasis on the importance of spatial scale and environmental factors
title_full Modelling the current and potential distribution of woody plants, with special emphasis on the importance of spatial scale and environmental factors
title_fullStr Modelling the current and potential distribution of woody plants, with special emphasis on the importance of spatial scale and environmental factors
title_full_unstemmed Modelling the current and potential distribution of woody plants, with special emphasis on the importance of spatial scale and environmental factors
title_short Modelling the current and potential distribution of woody plants, with special emphasis on the importance of spatial scale and environmental factors
title_sort modelling the current and potential distribution of woody plants with special emphasis on the importance of spatial scale and environmental factors
topic Botany
url http://hdl.handle.net/11427/9771
work_keys_str_mv AT rougetmathieu modellingthecurrentandpotentialdistributionofwoodyplantswithspecialemphasisontheimportanceofspatialscaleandenvironmentalfactors