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Numerical analysis of Devonian stromatoporoids
Paweł Wolniewicz
Abstract
The dissertation aims to highlight the use of computer image analysis and statistical methods in the morphometric studies of extincted groups of animals, belonging to the order Stromatoporoidea. The heritability of morphometric characters measured by previous workers was evaluated. Most of the traditional biometric characteristics used in the studies of stromatoporoids exhibit significant within-skeleton variance and are considered as having large ecophenotypic effects. Therefore, a new set of diagnostic features was proposed. Computer-aided image analysis, stereology and texture analysis were employed. These methods and variables were so far used in palaeobiology on a very limited scale.The proposed methodology was tested using the author's collection of stromatoporoids from Holy Cross Mountains and Kraków Upland (Poland). Existing collections of Devonian stromatoporoids from the Ardennes (Belgium and France) were also studied. 2120 thin sections were investigated and over 1.8 million morphometric measurements were obtained.- Record ID
- UAM66ab65019bed40c5b2e6ff4c4bfca291
- Diploma type
- Doctor of Philosophy
- Author
- Title in Polish
- Analiza numeryczna anatomii szkieletów wybranych dewońskich stromatoporoidów
- Title in English
- Numerical analysis of Devonian stromatoporoids
- Language
- pol (pl) Polish
- Certifying Unit
- Faculty of Geographical and Geological Sciences (FoGaGS)
- Discipline
- geography / (Earth sciences domain) / (biological sciences)
- Scientific discipline (2.0)
- Status
- Finished
- Defense Date
- 17-05-2010
- Title date
- 17-05-2010
- Supervisor
- URL
- http://hdl.handle.net/10593/368 Opening in a new tab
- Keywords in English
- stromatoporoids, Devonian, biometrics
- Abstract in English
- The dissertation aims to highlight the use of computer image analysis and statistical methods in the morphometric studies of extincted groups of animals, belonging to the order Stromatoporoidea. The heritability of morphometric characters measured by previous workers was evaluated. Most of the traditional biometric characteristics used in the studies of stromatoporoids exhibit significant within-skeleton variance and are considered as having large ecophenotypic effects. Therefore, a new set of diagnostic features was proposed. Computer-aided image analysis, stereology and texture analysis were employed. These methods and variables were so far used in palaeobiology on a very limited scale.The proposed methodology was tested using the author's collection of stromatoporoids from Holy Cross Mountains and Kraków Upland (Poland). Existing collections of Devonian stromatoporoids from the Ardennes (Belgium and France) were also studied. 2120 thin sections were investigated and over 1.8 million morphometric measurements were obtained.
- Uniform Resource Identifier
- https://researchportal.amu.edu.pl/info/phd/UAM66ab65019bed40c5b2e6ff4c4bfca291/
- URN
urn:amu-prod:UAM66ab65019bed40c5b2e6ff4c4bfca291