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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)
6.7 Earth and related environmental sciences
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

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