2021
DOI: 10.1007/s10750-021-04730-7
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Population structure of the Brazilian sardine (Sardinella brasiliensis) in the Southwest Atlantic inferred from body morphology and otolith shape signatures

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Cited by 26 publications
(7 citation statements)
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“…Regarding the environment, highly productive areas tend to modulate otolith morphotypes as a result of the combination of temperature, salinity, and food availability, which enhances growth rates and favors intense feeding behavior [25,84,85]. In the SEBB, diverse species present otolith morphotypes related to the Rio de Janeiro area, such as Sardinella brasiliensis [86], Isopisthus parvipinnis [87], and Merluccius hubbsi [88], among others, and the same is observed for the thread herring. This is a common pattern for the main fisheries resources in SEBB [49], evidencing a general trend on a macro spatial scale.…”
Section: Discussionmentioning
confidence: 80%
“…Regarding the environment, highly productive areas tend to modulate otolith morphotypes as a result of the combination of temperature, salinity, and food availability, which enhances growth rates and favors intense feeding behavior [25,84,85]. In the SEBB, diverse species present otolith morphotypes related to the Rio de Janeiro area, such as Sardinella brasiliensis [86], Isopisthus parvipinnis [87], and Merluccius hubbsi [88], among others, and the same is observed for the thread herring. This is a common pattern for the main fisheries resources in SEBB [49], evidencing a general trend on a macro spatial scale.…”
Section: Discussionmentioning
confidence: 80%
“…Evidence of similar population structure linked to the Cabo Frio upwelling has been noted for other marine species. For example, Schroeder, Schwingel & Correia (2022) recently analysed body geometric morphometrics and otolith shape in populations of the Brazilian sardine ( Sardinella brasiliensis ) along Brazil's coastline, identifying two population units related to distinct oceanographic conditions mainly associated with the SACW. Population differences have also been observed in the seabob shrimp Xiphopenaeus kroyeri (Davanso et al, 2017) from the coast of Rio de Janeiro.…”
Section: Discussionmentioning
confidence: 99%
“…Advances in digital imaging systems and analytical methods in the past decades have facilitated progress and diversification of morphometric techniques, expanding the potential for using morphometric analysis as a stock identification tool [9,19,46]. In this context, landmark-based truss analysis has been successfully used alone by several authors for the discrimination of fish stocks [13,14,47] or combined with other discrimination methods such as genetics [48][49][50], otolith shape [15,17,51] and otolith elemental analyses [52][53][54].…”
Section: Discussionmentioning
confidence: 99%
“…Fish morphometric variation among stocks has been shown to be a useful tool to describe fish spatial distributions and identify different population units, as fish body morphological differences (e.g., length, width and depth) can be associated with genetic background [10][11][12] or processes of phenotypic plasticity as a response to different environmental conditions [13][14][15]. Exposure to variations in factors, such as temperature, salinity and food availability, can result in different behavioral patterns (e.g., aggregation, migration and others) and the adoption of different adaptation strategies, which could be reflected in fish morphometric features and contribute to the definition of different phenotypic stocks [16][17][18]. The truss network system is a geometric morphometrics method commonly used for stock discrimination purposes that provides information on phenotypic traits [9,19,20].…”
Section: Introductionmentioning
confidence: 99%