Isometric growth in the world's largest bony fishes (genus Mola)? Morphological insights from fisheries bycatch data
| Autor: | Chris Harrod, Lawrence E. Eagling, Nicholas L. Payne, Carol D. Carson, Jonathan D. R. Houghton, Lukas Kubicek, Natasha D. Phillips, Valentina Cappanera |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
0106 biological sciences
0301 basic medicine Range (biology) Fisheries Isometric exercise 010603 evolutionary biology 01 natural sciences 03 medical and health sciences Mola Genus Confidence Intervals Animals Body Size SDG 14 - Life Below Water geometric morphometrics Morphometrics Principal Component Analysis Allometry biology Tetraodontiformes Ocean sunfish biology.organism_classification Bycatch Fishery 030104 developmental biology Linear Models ocean sunfish Animal Science and Zoology Anatomic Landmarks Developmental Biology |
| Zdroj: | Phillips, N D, Kubicek, L, Payne, N L, Harrod, C, Eagling, L E, Carson, C D, Cappanera, V & Houghton, J D R 2018, ' Isometric growth in the world's largest bony fishes (genus Mola)? Morphological insights from fisheries bycatch data ', Journal of morphology . https://doi.org/10.1002/jmor.20872 |
| DOI: | 10.1002/jmor.20872 |
| Popis: | For teleost fishes, the relationship between morphometric traits can provide significant insight into species life history, however gathering such data for noncommercial species can prove challenging. Here, we use data collected opportunistically from fisheries bycatch and stranding events to assess growth scaling over orders of magnitude in the ocean sunfish (genus Mola). Intriguingly, the confidence intervals for the relationship between length and mass suggests that isometric scaling is likely, a growth pattern rarely observed in fishes owing to the scaling of supportive structures. These data also enabled assessment of geometric morphometrics, which indicated that Mola sp shape varies subtly but significantly ontogenetically, with increased fin area comparative to body area as fish increase in size. More practically, total length emerged as an effective predictor for a range of morphological traits, including mass, fin lengths and surface area, which can provide vital baseline data for fisheries modeling and management. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|