Spatio‐temporal evaluation of the population structure of the bigtooth corvinaIsopisthus parvipinnisfrom Southwest Atlantic Ocean using otolith shape signatures

Past and Contemporaneous Otolith Fingerprints Reveal Potential Anthropogenic Interferences and Allows Refinement of the Population Structure of Isopisthus parvipinnis in the South Brazil Bight

“…Similar results were already observed in the past (in the 1970s and 1980s) for other sciaenid species in the SSB inferred from the body and/or otolith shape (e.g., Cynoscion jamaicensis, [48,49]; Macrodon ancylodon, [50]; Micropogonias furnieri, [51]; Nebris microps, [52]). However, at present (2018/2019), and 43 years later, four main population units, NSP, CSP, SSP/PR, and SC, were clearly depicted regarding I. parvipinnis population structure, as recently suggested by previous studies using alternative approaches [33,34].…”

Population structure of the chub mackerel (Scomber colias) in the North-east Atlantic inferred from otolith shape and body morphometrics

“…Thus, regional morphometric-data variation is useful to discriminate fish-stock structure of various exploited marine fish species (Cabral et al 2003;Erguden et al 2009;Allaya et al 2016), and can provide additional knowledge to a better management and conservation of fisheries (Erguden et al 2009). Moreover, the otolith shape is also considered an efficient tool for fish-stock identification (Jemaa et al 2015;Moreira et al 2019a;Hoff et al 2020) and has proven successful in resolving fish-stock structure in high gene-flow systems, when environmental heterogeneity exists (Bacha et al 2014). Otolith shape is markedly species specific, but also shows intra-specific geographic variation in relation to environmental factors and fish growth (Ferguson et al 2011;Jemaa et al 2015;Moreira et al 2019a).…”

Wake of Death: Using historical and contemporaneous data to evaluate the >i<Isopisthus parvipinnis>/i< (Sciaenidae) population structure at the Southwest Atlantic Ocean (23º - 26.9ºS)

“…Regarding I. parvippinis, those rates slightly increased from whole-body morphometry (79%; Hoff et al (2020b)) to otoliths shape (42% in 1975, and 81% in 2018/2019Hoff et al (2020aHoff et al ( )), and, finally, to otolith chemical composition (58% in 1975Hoff et al ( , and 80% in 2018Hoff et al ( /2019present study). Compared with the previous data from otolith shape (Hoff et al, 2020a), the present study allowed to detect significant differences between SC and other locations in both periods, clearly detached as an isolated population unit for both periods, and increased the regional cross-validation reclassification success.…”

“…Recruitment appears to occur between summer-autumn to winter in the northeast Brazil (Romero et al, 2008). The population structure of I. parvipinnis was recently studied in the SE-S Brazil through otolith shape (Hoff et al, 2020a) and body geometric morphometrics (Hoff et al, 2020b), revealing a complex metapopulational scenario with discrete population units.…”

“…Variables which most contributed to each axis, based on the Pearson correlation (r > 0.50), were displayed in CAP two-dimensional plots. Reclas-sification accuracy of the discriminant functions for each location were evaluated through the percentage of correctly re-classified individuals to the origin using a leave-one-out cross-validation (Hoff et al, 2020a).…”