This study aims to (1) develop quantitative approaches for the study of ichnological systems; (2) model, for the first time, ichnosites as networks; (3) analyze the response of ichnological systems to global dynamics, with particular regard to Late Paleozoic fluvial-influenced settings. In this regard, the modern peritidal environments of the Grado lagoon (Italy, Adriatic Sea), the Nurra ichnosite (Permian-Triassic; Italy) and the Pramollo ichnolagerstätte (Carboniferous-Permian; Italy) have been selected for developing, applying and testing network analysis for the study of ichnological systems. Results show that network theory is able to depict the traces-environment relationships both for modern and fossil ichnological systems. It is therefore suggested that network theory may have great potential for understanding Phanerozoic bioturbation patterns.
NETWORK THEORY IN ICHNOLOGY: FROM BEHAVIOURAL TOPOLOGY TO THE DEPOSITIONAL ENVIRONMENT / A. Baucon ; tutor: F. Felletti ; co-tutor: G. Muttoni ; coordinatore: E. Erba. DIPARTIMENTO DI SCIENZE DELLA TERRA "ARDITO DESIO", 2014 Feb 12. 26. ciclo, Anno Accademico 2013. [10.13130/baucon-andrea_phd2014-02-12].
NETWORK THEORY IN ICHNOLOGY: FROM BEHAVIOURAL TOPOLOGY TO THE DEPOSITIONAL ENVIRONMENT
A. Baucon
2014
Abstract
This study aims to (1) develop quantitative approaches for the study of ichnological systems; (2) model, for the first time, ichnosites as networks; (3) analyze the response of ichnological systems to global dynamics, with particular regard to Late Paleozoic fluvial-influenced settings. In this regard, the modern peritidal environments of the Grado lagoon (Italy, Adriatic Sea), the Nurra ichnosite (Permian-Triassic; Italy) and the Pramollo ichnolagerstätte (Carboniferous-Permian; Italy) have been selected for developing, applying and testing network analysis for the study of ichnological systems. Results show that network theory is able to depict the traces-environment relationships both for modern and fossil ichnological systems. It is therefore suggested that network theory may have great potential for understanding Phanerozoic bioturbation patterns.File | Dimensione | Formato | |
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