Dissertation
Predicting the geographic distributions of Macadamia integrifolia and Macadamia ternifolia
University of the Sunshine Coast, Queensland
Doctor of Philosophy, University of the Sunshine Coast
2009
DOI:
https://doi.org/10.25907/00174
Abstract
This work aims to investigate whether compiled ecological and environmental data can be used to successfully predict the geographic distributions of habitat of regionally rare and threatened plants using two Macadamia species as a case study. The thesis focuses on the predicted spatial distribution of the realised environmental niche of Macadamia integrifolia, and M. ternifolia, which are endemic to lowland subtropical rainforests of southeast Queensland, Australia. Both species are classified as vulnerable nationally and at a state level. M. integrifolia is the primary source of cultivars used by the Macadamia nut industry. The species insitu conservation is important for maintenance and adaptive evolution of its gene pool, which is a requirement of the international Food and Agricultural Organization agreement to conserve insitu species that are major food crops, to which Australia is a signatory. The study aimed to generate spatially explicit habitat models for M. integrifolia and M. ternifolia in order to assess the extent and pattern of habitat loss that has occurred from widespread past clearing, and for M. integrifolia, to identify the extent of change in predicted distribution of habitat arising from projected climate change.
Details
- Title
- Predicting the geographic distributions of Macadamia integrifolia and Macadamia ternifolia
- Authors
- Michael A Powell
- Contributors
- Alison Shapcott (Supervisor)
- Awarding institution
- University of the Sunshine Coast
- Degree awarded
- Doctor of Philosophy
- Publisher
- University of the Sunshine Coast, Queensland
- DOI
- 10.25907/00174
- Organisation Unit
- Faculty of Science, Health, Education and Engineering; School of Science and Engineering - Legacy; University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering; Centre for Bioinnovation
- Language
- English
- Record Identifier
- 99449885602621
- Output Type
- Dissertation
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