Tagasi otsingusse
Dorador et al., 2014b

Quantitative estimation of bioturbation based on digital image analysis

Dorador, J., Rodriguez-Tovar, F.J., IODP Expedition 339 Scientists
DOI10.1016/j.margeo.2014.01.003
Aasta2014
AjakiriMarine Geology
Köide349
Leheküljed55-60
Tüüpartikkel ajakirjas
Keelinglise
Id9026

Abstrakt

Quantitative determination of modification of primary sediment features, by the activity of organisms (i.e., bioturbation) is essential in geosciences. Some methods proposed since the 1960s are mainly based on visual or subjective determinations. The first semiquantitative evaluations of the Bioturbation Index, Ichnofabric Index, or the amount of bioturbation were attempted, in the best cases using a series of flashcards designed in different situations. Recently, more effective methods involve the use of analytical and computational methods such as X-rays, magnetic resonance imaging or computed tomography; these methods are complex and often expensive. This paper presents a compilation of different methods, using Adobe® Photoshop® software CS6, for digital estimation that are a part of the IDIAP (Ichnological Digital Analysis Images Package), which is an inexpensive alternative to recently proposed methods, easy to use, and especially recommended for core samples. The different methods—“Similar Pixel Selection Method (SPSM) ”,“Magic Wand Method (MWM)” and the “Color Range Selection Method (CRSM)”—entail advantages and disadvantages depending on the sediment (e.g., composition, color, texture, porosity, etc.) and ichnological features (size of traces, infilling material, burrow wall, etc.). The IDIAP provides an estimation of the amount of trace fossils produced by a particular ichnotaxon, by a whole ichnocoenosis or even for a complete ichnofabric. We recommend the application of the complete IDIAP to a given case study, followed by selection of the most appropriate method. The IDIAP was applied to core material recovered from the IODP Expedition 339, enabling us, for the first time, to arrive at a quantitative estimation of the discrete trace fossil assemblage in core samples.

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