2018
DOI: 10.1371/journal.pone.0196189
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Modeling the temporal periodicity of growth increments based on harmonic functions

Abstract: Age estimation methods based on hard structures require a process of validation to confirm the periodical pattern of growth marks. Among such processes, one of the most used is the marginal increment ratio (MIR), which was stated to follow a sinusoidal cycle in a population. Despite its utility, in most cases, its implementation has lacked robust statistical analysis. Accordingly, we propose a modeling approach for the temporal periodicity of growth increments based on single and second order harmonic function… Show more

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Cited by 5 publications
(3 citation statements)
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“…This first peak of the year could be related to the development of the wide translucent margin beginning in March. It is necessary to rely on modeling using GAM in order to clearly identify the period of greatest growth in C. A modeling approach is necessary to identify the temporal annual periodicity of growth increments, as it is not always so obvious and is influenced by differences between years and geographic areas [24][25][26].…”
Section: Discussionmentioning
confidence: 99%
“…This first peak of the year could be related to the development of the wide translucent margin beginning in March. It is necessary to rely on modeling using GAM in order to clearly identify the period of greatest growth in C. A modeling approach is necessary to identify the temporal annual periodicity of growth increments, as it is not always so obvious and is influenced by differences between years and geographic areas [24][25][26].…”
Section: Discussionmentioning
confidence: 99%
“…Both edge analysis and marginal increment analysis (MIA) are commonly used methods to verify the increment periodicity of the otolith [20,21], with edge analysis being a qualitative approach and MIA a quantitative approach [40]. While MIA is generally considered more robust than edge analysis, edge analysis (or marginal analysis) only requires recording the otolith margin type, thus is relatively affordable both in terms of equipment and time [26] and was chosen in this study to examine the periodicity of increment formation.…”
Section: Periodicity Of Increment Formation-edge Analysismentioning
confidence: 99%
“…Accuracy of age estimates is crucial in deriving age-based population parameters for making the right management decisions [15][16][17]. Edge analysis and marginal increment analysis (MIA) have been the most commonly used method to verify the increment periodicity of the otolith [18][19][20][21]. Edge analysis examines the timing of the translucent zone formation, and the ages are considered validated if only one opaque and one translucent band is formed annually [22][23][24][25].…”
Section: Introductionmentioning
confidence: 99%