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Global plant characterisation and distribution with evolution and climate

Furze, James N.

Authors

James N. Furze



Abstract

Since Arrhenius published seminal work in 1921, research interest in the description of plant traits and grouped characteristics of plant species has grown, underpinning diversity in trophic levels. Geographic exploration and diversity studies prior to and after 1921 culminated in biological, chemical and computer-simulated approaches describing rudiments of growth patterns within dynamic conditions of Earth. This thesis has two parts:- classical theory and multidisciplinary fusion to give mathematical strength to characterising plant species in space and time.
Individual plant species occurrences are used to obtain a Species-Area Relationship. The use of both Boolean and logic-based mathematics is then integrated to describe classical methods and propose fuzzy logic control to predict species ordination. Having demonstrated a lack of significance between species and area for data modelled in this thesis a logic based approach is taken. Mamdani and T-S-K fuzzy system stability is verified by application to individual plant occurrences, validated by a multiple interfaced data portal.
Quantitative mathematical models are differentiated with a genetic programming approach, enabling visualisation of multi-objective dispersal of plant strategies, plant metabolism and life-forms within the water-energy dynamic of a fixed time-scale scenario. The distributions of plant characteristics are functionally enriched through the use of Gaussian process models. A generic framework of a Geographic Information System is used to visualise distributions and it is noted that such systems can be used to assist in design and implementation of policies.
The study has made use of field based data and the application of mathematic methods is shown to be appropriate and generative in the description of characteristics of plant species, with the aim of application of plant strategies, life-forms and photosynthetic types to a global framework. Novel application of fuzzy logic and related mathematic method to plant distribution and characteristics has been shown on a global scale. Quantification of the uncertainty gives novel insight through consequent trophic levels of biological systems, with great relevance to mathematic and geographic subject development. Informative value of Z matrices of plant distribution is increased substantiating sustainability and conservation policy value to ecosystems and human populations dependent upon them for their needs.

Key words: sustainability, conservation policy, Boolean and logic-based, fuzzy logic, genetic programming, multi-objective dispersal, strategies, metabolism, life-forms.

Citation

Furze, J. N. Global plant characterisation and distribution with evolution and climate. (Thesis). University of the West of England

Thesis Type Thesis
Keywords global plant characterisation, distribution, evolution, climate, sustainability, conservation policy, boolean, logic-based, fuzzy logic, genetic programming, multi-objective dispersal, strategies, metabolism, life-forms, computer science, subject synergy

Files

Furze J N (2014) Global plant characterisation and distribution with evolution and climate PhD thesis .pdf (7.1 Mb)
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Appendix 1 Data and citations of collections for each example location used (Cover).pdf (29 Kb)
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Mexico - GBIF Portal 21 12 10.webarchive (1.3 Mb)
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Occurrence search - Classification includes Kingdom Plantae , Country is Mexico Taxon details- GBIF Portal.webarchive (906 Kb)
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Occurrence search - Download spreadsheet - Classification includes Kingdom Plantae , Country is Mexico - GBIF Portal.webarchive (569 Kb)
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occurrence-search-1292945724717.xls (48.4 Mb)
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Guyana - GBIF Portal.webarchive (909 Kb)
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Occurrence search - Country is Guyana - GBIF Portal.webarchive (905 Kb)
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Occurrence search - Download spreadsheet - Classification includes Kingdom Plantae , Country is Guyana - GBIF Portal.webarchive (571 Kb)
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occurrence-search-1293196129866.xls (45.1 Mb)
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Cuba - GBIF Portal.webarchive (1 Mb)
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Occurrence search - Country is Cuba - Taxon details GBIF Portal.webarchive (903 Kb)
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Occurrence search - Download spreadsheet - Classification includes Kingdom Plantae , Country is Cuba - GBIF Portal.webarchive (569 Kb)
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occurrence-search-1293214720571.xls (43.1 Mb)
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Congo, The Democratic Republic Of The - GBIF Portal.webarchive (940 Kb)
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Occurrence search - Country is Congo, The Democratic Republic Of The - Taxon details GBIF Portal.webarchive (905 Kb)
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occurrence-search-1293219110480.xls (28.5 Mb)
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Georgia - GBIF Portal.webarchive (832 Kb)
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Occurrence search - Country is Georgia - GBIF Portal.webarchive (907 Kb)
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Occurrence search - Download spreadsheet - Classification includes Kingdom Plantae , Country is Georgia - GBIF Portal.webarchive (571 Kb)
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occurrence-search-1293234888648.xls (9.7 Mb)
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Guinea - GBIF Portal.webarchive (809 Kb)
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Occurrence search - Country is Guinea - GBIF Portal.webarchive (904 Kb)
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Occurrence search - Download spreadsheet - Classification includes Kingdom Plantae , Country is Guinea - GBIF Portal.webarchive (571 Kb)
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occurrence-search-1293218233048.xls (6.5 Mb)
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Macedonia, The Former Yugoslav Republic Of - GBIF Portal.webarchive (803 Kb)
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Occurrence search - Country is Macedonia, The Former Yugoslav Republic Of - GBIF Portal.webarchive (904 Kb)
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occurrence-search-1293233665012.xls (1.7 Mb)
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Appendix 2 Algorithmic statements for Guyana (South America), Cuba (America), Democratic Republic of the Congo (Africa), Georgia (Southern Europe), Guinea (Africa) and Macedonia (Southern Eur).pdf (329 Kb)
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Appendix 2.1 Example code of Matlab (Version R2010a ©), using downloaded IPCC file.pdf (124 Kb)
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Appendix 2.1.1 Example code used with USGS DEM data, GTOPO30.pdf (70 Kb)
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Appendix 2.1.2 Additional programming code to modify axis of DEM images.pdf (64 Kb)
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Appendix 3 Climatic and DEM data for E1, E2, E3, E4, E5, E6, E7.pdf (1.7 Mb)
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Appendix 4 2-Dimensional and 3-Dimensional surface of E2, T-S-K.pdf (102 Kb)
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Appendix 7 Matlab (Version 2010a ©) code for life-form MOGA process.pdf (194 Kb)
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Appendix 7.2 Matlab (Version 2010a ©) code for Rastrigin’s function.pdf (92 Kb)
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Appendix 7.3 Lesser number of characters Rastrigin’s function.pdf (93 Kb)
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Appendix 8 Example Matlab (Version 2010a ©) code for GIS mapping.pdf (143 Kb)
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