2022
DOI: 10.3390/genes13071186
|View full text |Cite
|
Sign up to set email alerts
|

Genetic Demography of the Blue and Red Shrimp, Aristeus antennatus: A Female-Based Case Study Integrating Multilocus Genotyping and Morphometric Data

Abstract: In this study, we quantified the three key biological processes, growth, recruitment, and dispersal pattern, which are necessary for a better understanding of the population dynamics of the blue and red shrimp Aristeus antennatus. This marine exploited crustacean shows sex-related distribution along the water column, being females predominate in the middle slope. The present study attempts to fill the existing gap in the females’ genetic demography, as scarce knowledge is available despite being the most abund… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 46 publications
0
1
0
Order By: Relevance
“…More specifically, several metrics to quantify connectivity can be extracted from larval transport modelling studies, including dispersal or retention (Jonsson et al, 2020; Lu et al, 2023), network theory indicators (Assis et al, 2021; Roberts et al, 2021) and other specific features related to the study objectives (e.g., ‘rescue potential’ of a MPA; Roberts et al, 2021). These methods are used to suggest appropriate management measures, for example, for sustainable fisheries (Abras et al, 2022), and to evaluate MPAs connectivity (e.g., le Port et al, 2017). Demographic mixing, that is, spatial co‐occurrence of individuals from different origins, can also be estimated for connectivity assessments (D'Aloia & Neubert, 2018; Wright et al, 2019).…”
Section: Introductionmentioning
confidence: 99%
“…More specifically, several metrics to quantify connectivity can be extracted from larval transport modelling studies, including dispersal or retention (Jonsson et al, 2020; Lu et al, 2023), network theory indicators (Assis et al, 2021; Roberts et al, 2021) and other specific features related to the study objectives (e.g., ‘rescue potential’ of a MPA; Roberts et al, 2021). These methods are used to suggest appropriate management measures, for example, for sustainable fisheries (Abras et al, 2022), and to evaluate MPAs connectivity (e.g., le Port et al, 2017). Demographic mixing, that is, spatial co‐occurrence of individuals from different origins, can also be estimated for connectivity assessments (D'Aloia & Neubert, 2018; Wright et al, 2019).…”
Section: Introductionmentioning
confidence: 99%