Evaluating the suitability of close‐kin mark‐recapture as a demographic modelling tool for a critically endangered elasmobranch population

Abstract Estimating the demographic parameters of contemporary populations is essential to the success of elasmobranch conservation programmes, and to understanding their recent evolutionary history. For benthic elasmobranchs such as skates, traditional fisheries‐independent approaches are often uns...

Full description

Bibliographic Details
Main Authors: Aurélien Delaval, Victoria Bendall, Stuart J. Hetherington, Hans J. Skaug, Michelle Frost, Catherine S. Jones, Leslie R. Noble
Format: Article
Language:English
Published: Wiley 2023-02-01
Series:Evolutionary Applications
Subjects:
Online Access:https://doi.org/10.1111/eva.13474
_version_ 1811165213797384192
author Aurélien Delaval
Victoria Bendall
Stuart J. Hetherington
Hans J. Skaug
Michelle Frost
Catherine S. Jones
Leslie R. Noble
author_facet Aurélien Delaval
Victoria Bendall
Stuart J. Hetherington
Hans J. Skaug
Michelle Frost
Catherine S. Jones
Leslie R. Noble
author_sort Aurélien Delaval
collection DOAJ
description Abstract Estimating the demographic parameters of contemporary populations is essential to the success of elasmobranch conservation programmes, and to understanding their recent evolutionary history. For benthic elasmobranchs such as skates, traditional fisheries‐independent approaches are often unsuitable as the data may be subject to various sources of bias, whilst low recapture rates can render mark‐recapture programmes ineffectual. Close‐kin mark‐recapture (CKMR), a novel demographic modelling approach based on the genetic identification of close relatives within a sample, represents a promising alternative approach as it does not require physical recaptures. We evaluated the suitability of CKMR as a demographic modelling tool for the critically endangered blue skate (Dipturus batis) in the Celtic Sea using samples collected during fisheries‐dependent trammel‐net surveys that ran from 2011 to 2017. We identified three full‐sibling and 16 half‐sibling pairs among 662 skates, which were genotyped across 6291 genome‐wide single nucleotide polymorphisms, 15 of which were cross‐cohort half‐sibling pairs that were included in a CKMR model. Despite limitations owing to a lack of validated life‐history trait parameters for the species, we produced the first estimates of adult breeding abundance, population growth rate, and annual adult survival rate for D. batis in the Celtic Sea. The results were compared to estimates of genetic diversity, effective population size (Ne), and to catch per unit effort estimates from the trammel‐net survey. Although each method was characterized by wide uncertainty bounds, together they suggested a stable population size across the time‐series. Recommendations for the implementation of CKMR as a conservation tool for data‐limited elasmobranchs are discussed. In addition, the spatio‐temporal distribution of the 19 sibling pairs revealed a pattern of site fidelity in D. batis, and supported field observations suggesting an area of critical habitat that could qualify for protection might occur near the Isles of Scilly.
first_indexed 2024-04-10T15:34:44Z
format Article
id doaj.art-a38a24f17157446eaf855f8992ed777b
institution Directory Open Access Journal
issn 1752-4571
language English
last_indexed 2024-04-10T15:34:44Z
publishDate 2023-02-01
publisher Wiley
record_format Article
series Evolutionary Applications
spelling doaj.art-a38a24f17157446eaf855f8992ed777b2023-02-13T09:56:25ZengWileyEvolutionary Applications1752-45712023-02-0116246147310.1111/eva.13474Evaluating the suitability of close‐kin mark‐recapture as a demographic modelling tool for a critically endangered elasmobranch populationAurélien Delaval0Victoria Bendall1Stuart J. Hetherington2Hans J. Skaug3Michelle Frost4Catherine S. Jones5Leslie R. Noble6Faculty of Biosciences and Aquaculture Nord University Bodø NorwayCentre for Environment Fisheries and Aquaculture Science (CEFAS) Lowestoft UKCentre for Environment Fisheries and Aquaculture Science (CEFAS) Lowestoft UKDepartment of Mathematics University of Bergen Bergen NorwaySchool of Biological Sciences University of Aberdeen Aberdeen UKSchool of Biological Sciences University of Aberdeen Aberdeen UKFaculty of Biosciences and Aquaculture Nord University Bodø NorwayAbstract Estimating the demographic parameters of contemporary populations is essential to the success of elasmobranch conservation programmes, and to understanding their recent evolutionary history. For benthic elasmobranchs such as skates, traditional fisheries‐independent approaches are often unsuitable as the data may be subject to various sources of bias, whilst low recapture rates can render mark‐recapture programmes ineffectual. Close‐kin mark‐recapture (CKMR), a novel demographic modelling approach based on the genetic identification of close relatives within a sample, represents a promising alternative approach as it does not require physical recaptures. We evaluated the suitability of CKMR as a demographic modelling tool for the critically endangered blue skate (Dipturus batis) in the Celtic Sea using samples collected during fisheries‐dependent trammel‐net surveys that ran from 2011 to 2017. We identified three full‐sibling and 16 half‐sibling pairs among 662 skates, which were genotyped across 6291 genome‐wide single nucleotide polymorphisms, 15 of which were cross‐cohort half‐sibling pairs that were included in a CKMR model. Despite limitations owing to a lack of validated life‐history trait parameters for the species, we produced the first estimates of adult breeding abundance, population growth rate, and annual adult survival rate for D. batis in the Celtic Sea. The results were compared to estimates of genetic diversity, effective population size (Ne), and to catch per unit effort estimates from the trammel‐net survey. Although each method was characterized by wide uncertainty bounds, together they suggested a stable population size across the time‐series. Recommendations for the implementation of CKMR as a conservation tool for data‐limited elasmobranchs are discussed. In addition, the spatio‐temporal distribution of the 19 sibling pairs revealed a pattern of site fidelity in D. batis, and supported field observations suggesting an area of critical habitat that could qualify for protection might occur near the Isles of Scilly.https://doi.org/10.1111/eva.13474abundance estimationblue skateclose‐kin mark‐recaptureconservationelasmobranchfisheries
spellingShingle Aurélien Delaval
Victoria Bendall
Stuart J. Hetherington
Hans J. Skaug
Michelle Frost
Catherine S. Jones
Leslie R. Noble
Evaluating the suitability of close‐kin mark‐recapture as a demographic modelling tool for a critically endangered elasmobranch population
Evolutionary Applications
abundance estimation
blue skate
close‐kin mark‐recapture
conservation
elasmobranch
fisheries
title Evaluating the suitability of close‐kin mark‐recapture as a demographic modelling tool for a critically endangered elasmobranch population
title_full Evaluating the suitability of close‐kin mark‐recapture as a demographic modelling tool for a critically endangered elasmobranch population
title_fullStr Evaluating the suitability of close‐kin mark‐recapture as a demographic modelling tool for a critically endangered elasmobranch population
title_full_unstemmed Evaluating the suitability of close‐kin mark‐recapture as a demographic modelling tool for a critically endangered elasmobranch population
title_short Evaluating the suitability of close‐kin mark‐recapture as a demographic modelling tool for a critically endangered elasmobranch population
title_sort evaluating the suitability of close kin mark recapture as a demographic modelling tool for a critically endangered elasmobranch population
topic abundance estimation
blue skate
close‐kin mark‐recapture
conservation
elasmobranch
fisheries
url https://doi.org/10.1111/eva.13474
work_keys_str_mv AT aureliendelaval evaluatingthesuitabilityofclosekinmarkrecaptureasademographicmodellingtoolforacriticallyendangeredelasmobranchpopulation
AT victoriabendall evaluatingthesuitabilityofclosekinmarkrecaptureasademographicmodellingtoolforacriticallyendangeredelasmobranchpopulation
AT stuartjhetherington evaluatingthesuitabilityofclosekinmarkrecaptureasademographicmodellingtoolforacriticallyendangeredelasmobranchpopulation
AT hansjskaug evaluatingthesuitabilityofclosekinmarkrecaptureasademographicmodellingtoolforacriticallyendangeredelasmobranchpopulation
AT michellefrost evaluatingthesuitabilityofclosekinmarkrecaptureasademographicmodellingtoolforacriticallyendangeredelasmobranchpopulation
AT catherinesjones evaluatingthesuitabilityofclosekinmarkrecaptureasademographicmodellingtoolforacriticallyendangeredelasmobranchpopulation
AT lesliernoble evaluatingthesuitabilityofclosekinmarkrecaptureasademographicmodellingtoolforacriticallyendangeredelasmobranchpopulation