Modeling the spatial distribution of larval fish abundance provides essential information for management

Meri Kallasvuo, Jarno Vanhatalo, Lari Veneranta

Tutkimustuotos: ArtikkelijulkaisuArtikkeliTieteellinenvertaisarvioitu

Kuvaus

Productive fisheries are strongly linked to the ecological state of the essential habitats. In this study, we developed a methodology to assess the most important reproduction habitats of fish by using larval survey data and Bayesian species distribution models that predict the spatial distribution and abundance of fish larvae. Our case study with four commercially and ecologically important fish species in the coastal zone of the northern Baltic Sea demonstrated that the production of fish stocks can be concentrated to an extremely limited area compared to the entire suitable production area. The area suitable for larval production varied from 3.7% to 99.8% between species, but the smallest area responsible for 80% of the cumulative larval production was two to five times more limited, varying from 1.4% to 52.9% between species. Hence, instead of the traditional approach of modeling only habitat suitability for fish production, marine spatial planning and management should take into account the areal production potential. Moreover, the developed methodology enables linking of the total production potential across the whole distribution area to fisheries stock assessment and management.
Alkuperäiskielienglanti
LehtiCanadian Journal of Fisheries and Aquatic Sciences
Vuosikerta74
Numero5
Sivut636-649
Sivumäärä14
ISSN0706-652X
DOI - pysyväislinkit
TilaJulkaistu - toukokuuta 2017
OKM-julkaisutyyppiA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä, vertaisarvioitu

Tieteenalat

  • 1172 Ympäristötiede
  • 112 Tilastotiede
  • 1181 Ekologia, evoluutiobiologia

Lainaa tätä

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title = "Modeling the spatial distribution of larval fish abundance provides essential information for management",
abstract = "Productive fisheries are strongly linked to the ecological state of the essential habitats. In this study, we developed a methodology to assess the most important reproduction habitats of fish by using larval survey data and Bayesian species distribution models that predict the spatial distribution and abundance of fish larvae. Our case study with four commercially and ecologically important fish species in the coastal zone of the northern Baltic Sea demonstrated that the production of fish stocks can be concentrated to an extremely limited area compared to the entire suitable production area. The area suitable for larval production varied from 3.7{\%} to 99.8{\%} between species, but the smallest area responsible for 80{\%} of the cumulative larval production was two to five times more limited, varying from 1.4{\%} to 52.9{\%} between species. Hence, instead of the traditional approach of modeling only habitat suitability for fish production, marine spatial planning and management should take into account the areal production potential. Moreover, the developed methodology enables linking of the total production potential across the whole distribution area to fisheries stock assessment and management.",
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author = "Meri Kallasvuo and Jarno Vanhatalo and Lari Veneranta",
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journal = "Canadian Journal of Fisheries and Aquatic Sciences",
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Modeling the spatial distribution of larval fish abundance provides essential information for management. / Kallasvuo, Meri; Vanhatalo, Jarno ; Veneranta, Lari.

julkaisussa: Canadian Journal of Fisheries and Aquatic Sciences, Vuosikerta 74, Nro 5, 05.2017, s. 636-649.

Tutkimustuotos: ArtikkelijulkaisuArtikkeliTieteellinenvertaisarvioitu

TY - JOUR

T1 - Modeling the spatial distribution of larval fish abundance provides essential information for management

AU - Kallasvuo, Meri

AU - Vanhatalo, Jarno

AU - Veneranta, Lari

PY - 2017/5

Y1 - 2017/5

N2 - Productive fisheries are strongly linked to the ecological state of the essential habitats. In this study, we developed a methodology to assess the most important reproduction habitats of fish by using larval survey data and Bayesian species distribution models that predict the spatial distribution and abundance of fish larvae. Our case study with four commercially and ecologically important fish species in the coastal zone of the northern Baltic Sea demonstrated that the production of fish stocks can be concentrated to an extremely limited area compared to the entire suitable production area. The area suitable for larval production varied from 3.7% to 99.8% between species, but the smallest area responsible for 80% of the cumulative larval production was two to five times more limited, varying from 1.4% to 52.9% between species. Hence, instead of the traditional approach of modeling only habitat suitability for fish production, marine spatial planning and management should take into account the areal production potential. Moreover, the developed methodology enables linking of the total production potential across the whole distribution area to fisheries stock assessment and management.

AB - Productive fisheries are strongly linked to the ecological state of the essential habitats. In this study, we developed a methodology to assess the most important reproduction habitats of fish by using larval survey data and Bayesian species distribution models that predict the spatial distribution and abundance of fish larvae. Our case study with four commercially and ecologically important fish species in the coastal zone of the northern Baltic Sea demonstrated that the production of fish stocks can be concentrated to an extremely limited area compared to the entire suitable production area. The area suitable for larval production varied from 3.7% to 99.8% between species, but the smallest area responsible for 80% of the cumulative larval production was two to five times more limited, varying from 1.4% to 52.9% between species. Hence, instead of the traditional approach of modeling only habitat suitability for fish production, marine spatial planning and management should take into account the areal production potential. Moreover, the developed methodology enables linking of the total production potential across the whole distribution area to fisheries stock assessment and management.

KW - 1172 Environmental sciences

KW - 112 Statistics and probability

KW - 1181 Ecology, evolutionary biology

U2 - 10.1139/cjfas-2016-0008

DO - 10.1139/cjfas-2016-0008

M3 - Article

VL - 74

SP - 636

EP - 649

JO - Canadian Journal of Fisheries and Aquatic Sciences

JF - Canadian Journal of Fisheries and Aquatic Sciences

SN - 0706-652X

IS - 5

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