Fisheries management in spatially structured Atlantic salmon populations
International audience Despite extensive research on the causes and consequences of spatial dispersal, the implications of connectivity for conservation and management are poorly appreciated, especially for species for which dispersal rates are ignored or considered negligible such as salmonids. For...
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ftccsdartic:oai:HAL:hal-03790558v1 2023-07-16T03:57:30+02:00 Fisheries management in spatially structured Atlantic salmon populations Lamarins, Amaia Prévost, Etienne Carlson, Stephanie Buoro, Mathieu Ecologie Comportementale et Biologie des Populations de Poissons (ECOBIOP) Université de Pau et des Pays de l'Adour (UPPA)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) Department of Environmental Science, Policy, and Management Berkeley (ESPM) University of California Berkeley (UC Berkeley) University of California (UC)-University of California (UC) Saint Etienne de Baigorry, France 2022-03-01 https://hal.inrae.fr/hal-03790558 https://hal.inrae.fr/hal-03790558/document https://hal.inrae.fr/hal-03790558/file/Lamarins2022NowpasComOrale.pdf en eng HAL CCSD hal-03790558 https://hal.inrae.fr/hal-03790558 https://hal.inrae.fr/hal-03790558/document https://hal.inrae.fr/hal-03790558/file/Lamarins2022NowpasComOrale.pdf info:eu-repo/semantics/OpenAccess NoWPaS 2022 https://hal.inrae.fr/hal-03790558 NoWPaS 2022, Mar 2022, Saint Etienne de Baigorry, France dispersal fisheries management modeling [SDE.BE]Environmental Sciences/Biodiversity and Ecology info:eu-repo/semantics/conferenceObject Conference papers 2022 ftccsdartic 2023-06-24T23:00:47Z International audience Despite extensive research on the causes and consequences of spatial dispersal, the implications of connectivity for conservation and management are poorly appreciated, especially for species for which dispersal rates are ignored or considered negligible such as salmonids. For such species, exploitation by fishing usually does not consider populations connectivity, and fisheries management rather focuses at population scale. To date, prior work already warned about the danger of ignoring spatial structure and connectivity of populations but a very few studies have explicitly compared different strategies of exploitation while also considering the spatial structure of populations. We use a spatially explicit demo-genetic agent-based model as a virtual laboratory to mimic a realistic Atlantic salmon populations network and compare several spatialized fishing strategies (e.g. fishing all populations, sink, or source only). We assess their consequences at the demographic, phenotypic and genotypic levels. We show different effects of spatialized exploitation strategies on metapopulation size, stability and synchrony, as well as life history strategies and genetic evolution of traits. Importantly, we show that the consequences of spatialized fishing strategies depend on the exploitation pressure acting on the local populations and on the metapopulation as a whole. Altogether, we argue that it is critical to account for metapopulation structure in defining fisheries management because spatialized exploitation of connected populations can lead to various demographic outcomes but also complex evolutionary trajectories. Conference Object Atlantic salmon Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) Etienne ENVELOPE(-63.217,-63.217,-65.167,-65.167) |
institution |
Open Polar |
collection |
Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) |
op_collection_id |
ftccsdartic |
language |
English |
topic |
dispersal fisheries management modeling [SDE.BE]Environmental Sciences/Biodiversity and Ecology |
spellingShingle |
dispersal fisheries management modeling [SDE.BE]Environmental Sciences/Biodiversity and Ecology Lamarins, Amaia Prévost, Etienne Carlson, Stephanie Buoro, Mathieu Fisheries management in spatially structured Atlantic salmon populations |
topic_facet |
dispersal fisheries management modeling [SDE.BE]Environmental Sciences/Biodiversity and Ecology |
description |
International audience Despite extensive research on the causes and consequences of spatial dispersal, the implications of connectivity for conservation and management are poorly appreciated, especially for species for which dispersal rates are ignored or considered negligible such as salmonids. For such species, exploitation by fishing usually does not consider populations connectivity, and fisheries management rather focuses at population scale. To date, prior work already warned about the danger of ignoring spatial structure and connectivity of populations but a very few studies have explicitly compared different strategies of exploitation while also considering the spatial structure of populations. We use a spatially explicit demo-genetic agent-based model as a virtual laboratory to mimic a realistic Atlantic salmon populations network and compare several spatialized fishing strategies (e.g. fishing all populations, sink, or source only). We assess their consequences at the demographic, phenotypic and genotypic levels. We show different effects of spatialized exploitation strategies on metapopulation size, stability and synchrony, as well as life history strategies and genetic evolution of traits. Importantly, we show that the consequences of spatialized fishing strategies depend on the exploitation pressure acting on the local populations and on the metapopulation as a whole. Altogether, we argue that it is critical to account for metapopulation structure in defining fisheries management because spatialized exploitation of connected populations can lead to various demographic outcomes but also complex evolutionary trajectories. |
author2 |
Ecologie Comportementale et Biologie des Populations de Poissons (ECOBIOP) Université de Pau et des Pays de l'Adour (UPPA)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) Department of Environmental Science, Policy, and Management Berkeley (ESPM) University of California Berkeley (UC Berkeley) University of California (UC)-University of California (UC) |
format |
Conference Object |
author |
Lamarins, Amaia Prévost, Etienne Carlson, Stephanie Buoro, Mathieu |
author_facet |
Lamarins, Amaia Prévost, Etienne Carlson, Stephanie Buoro, Mathieu |
author_sort |
Lamarins, Amaia |
title |
Fisheries management in spatially structured Atlantic salmon populations |
title_short |
Fisheries management in spatially structured Atlantic salmon populations |
title_full |
Fisheries management in spatially structured Atlantic salmon populations |
title_fullStr |
Fisheries management in spatially structured Atlantic salmon populations |
title_full_unstemmed |
Fisheries management in spatially structured Atlantic salmon populations |
title_sort |
fisheries management in spatially structured atlantic salmon populations |
publisher |
HAL CCSD |
publishDate |
2022 |
url |
https://hal.inrae.fr/hal-03790558 https://hal.inrae.fr/hal-03790558/document https://hal.inrae.fr/hal-03790558/file/Lamarins2022NowpasComOrale.pdf |
op_coverage |
Saint Etienne de Baigorry, France |
long_lat |
ENVELOPE(-63.217,-63.217,-65.167,-65.167) |
geographic |
Etienne |
geographic_facet |
Etienne |
genre |
Atlantic salmon |
genre_facet |
Atlantic salmon |
op_source |
NoWPaS 2022 https://hal.inrae.fr/hal-03790558 NoWPaS 2022, Mar 2022, Saint Etienne de Baigorry, France |
op_relation |
hal-03790558 https://hal.inrae.fr/hal-03790558 https://hal.inrae.fr/hal-03790558/document https://hal.inrae.fr/hal-03790558/file/Lamarins2022NowpasComOrale.pdf |
op_rights |
info:eu-repo/semantics/OpenAccess |
_version_ |
1771544110483636224 |