Abstract:Mackerel (Scomber scombrus) in the northeast Atlantic have shown changes in distribution at certain times of the year, which have impacted their exploitation and management. In this study, mackerel spawning habitat over 21 recent years was characterised using generalised additive modelling, based on spatial egg density data collected every third year during targeted ichthyoplankton surveys. Mackerel spawning distribution was found to depend primarily on geographical variables (coordinates and bottom depth), wi… Show more
“…This would indicate an overall northward expansion of the area occupied by species with southern biogeographic affinities within the study area. However, the few northward shifts and decrease in spatial occurrence exhibited by the more temperate species (white anglerfish, blue whiting, mackerel, spurdog) in the southern fringes of the study area may indicate an overall shift (expansion and contraction) in distribution for these temperate species within the study area, consistent with previous reports of northward shifts of both the southern range boundary and the spawning area of mackerel in the northeast Atlantic (Brunel et al ).…”
Section: Discussionsupporting
confidence: 91%
“…These findings strongly suggest that density‐dependent habitat selection is also occurring, with species increasing and decreasing in abundance expanding and contracting their spatial occupancy respectively, as expected according to the MacCall () basin model. Density‐driven changes in distribution have previously been reported for several species within the area considered in this study (Baudron and Fernandes , Brunel et al , Erauskin‐Extramiana et al ). Although the drivers of distribution changes were not formally addressed in this study, our findings indicate that the distribution of the 19 species considered here is at least partly affected by both changes in areas of suitable habitat (possibly as a result of warming sea temperature) and by changes in abundance (due to reduced fishing) via density‐dependent habitat selection occurring within these areas.…”
Changes in fish distribution are being observed across the globe. In Europe's Common Fisheries Policy, the share of the catch of each fish stock is split among management areas using a fixed allocation key known as ‘Relative Stability’: in each management area, member states get the same proportion of the total catch each year. That proportion is largely based on catches made by those member states in the 1970s. Changes in distribution can, therefore, result in a mismatch between quota shares and regional abundances within management areas, with potential repercussions for the status of fish stocks and the fisheries that depend on them. Assessing distribution changes is crucial to ensure adequate management and sustainable exploitation of our fish resources. We analysed scientific survey data using a three‐tiered analytical approach to provide, for the first time, an overview of changes in distribution for 19 northeast Atlantic fish species encompassing 73 commercial stocks over 30 yr. All species have experienced changes in distribution, five of which did so across management areas. A cross‐species analysis suggested that shifts in areas of suitable thermal habitat, and density‐dependent use of these areas, are at least partly responsible for the observed changes. These findings challenge the current use of relative stability to allocate quotas.
“…This would indicate an overall northward expansion of the area occupied by species with southern biogeographic affinities within the study area. However, the few northward shifts and decrease in spatial occurrence exhibited by the more temperate species (white anglerfish, blue whiting, mackerel, spurdog) in the southern fringes of the study area may indicate an overall shift (expansion and contraction) in distribution for these temperate species within the study area, consistent with previous reports of northward shifts of both the southern range boundary and the spawning area of mackerel in the northeast Atlantic (Brunel et al ).…”
Section: Discussionsupporting
confidence: 91%
“…These findings strongly suggest that density‐dependent habitat selection is also occurring, with species increasing and decreasing in abundance expanding and contracting their spatial occupancy respectively, as expected according to the MacCall () basin model. Density‐driven changes in distribution have previously been reported for several species within the area considered in this study (Baudron and Fernandes , Brunel et al , Erauskin‐Extramiana et al ). Although the drivers of distribution changes were not formally addressed in this study, our findings indicate that the distribution of the 19 species considered here is at least partly affected by both changes in areas of suitable habitat (possibly as a result of warming sea temperature) and by changes in abundance (due to reduced fishing) via density‐dependent habitat selection occurring within these areas.…”
Changes in fish distribution are being observed across the globe. In Europe's Common Fisheries Policy, the share of the catch of each fish stock is split among management areas using a fixed allocation key known as ‘Relative Stability’: in each management area, member states get the same proportion of the total catch each year. That proportion is largely based on catches made by those member states in the 1970s. Changes in distribution can, therefore, result in a mismatch between quota shares and regional abundances within management areas, with potential repercussions for the status of fish stocks and the fisheries that depend on them. Assessing distribution changes is crucial to ensure adequate management and sustainable exploitation of our fish resources. We analysed scientific survey data using a three‐tiered analytical approach to provide, for the first time, an overview of changes in distribution for 19 northeast Atlantic fish species encompassing 73 commercial stocks over 30 yr. All species have experienced changes in distribution, five of which did so across management areas. A cross‐species analysis suggested that shifts in areas of suitable thermal habitat, and density‐dependent use of these areas, are at least partly responsible for the observed changes. These findings challenge the current use of relative stability to allocate quotas.
“…This dome‐shaped relationship linking both DEP presence–absence and given‐presence to temperature in our models suggests an optimal thermal window potentially driven by constraints linked to embryo development (Nwosu & Holzlöhner, ; Sapkale, Singh, & Desai, ) and the influence of temperature on adult mackerel distribution, migration and timing of spawning (D’Amours & Castonguay, ; Jansen & Gislason, ; Overholtz et al, ). The range of temperature (10–16.5°C) associated with mackerel DEP, with an optimum around 13–14°C (Figures and), is consistent with those described in models for the north‐east Atlantic mackerel (Bruge et al, ; Brunel, Damme, Samson, & Dickey‐Collas, ) and studies using egg survey data for the north‐west Atlantic mackerel stock (Studholme et al, ).…”
Section: Discussionsupporting
confidence: 85%
“…We used a long time series of mackerel daily egg production (DEP), derived from the annual research vessel surveys aiming Figures 3and4), is consistent with those described in models for the north-east Atlantic mackerel (Bruge et al, 2016;Brunel, Damme, Samson, & Dickey-Collas, 2017) and studies using egg survey data for the north-west Atlantic mackerel stock (Studholme et al, 1999).…”
Section: Habitat Modelling and Ecological Knowledge Of Mackerelmentioning
We investigated the effect of environmental conditions on Atlantic mackerel spawning habitat in the southern Gulf of St. Lawrence (sGSL). Based on generalized additive models, we (i) modelled the optimal spawning habitat of mackerel in the sGSL using daily egg production (DEP) in June, (ii) predicted known and new potential present spawning habitats in the GSL and the north‐west Atlantic, and (iii) assessed how they respond to future climate change. Our findings showed that both mackerel presence–absence and given‐presence DEP were associated with sea surface temperature (10–16.5°C), salinity above 31 and depth < 120 m. Adding zooplankton showed a marked effect on the DEP given‐presence compared to the presence–absence. Predictions of spawning habitats under present (1999–2012) and future scenario (2066–2085) conditions were estimated from the presence–absence model without zooplankton, using physical conditions of the BNAM. Under present conditions, our model predicted well the main spawning habitat in the sGSL and other known secondary spawning habitats in the northern GSL (nGSL), the western and southern Newfoundland, and the north‐west Atlantic coast. Under future conditions, our study suggests that spawning habitats in the sGSL and the nGSL would expand. Our results, therefore, suggest that mackerel could benefit from a warmer GSL, minimizing the potential for a northward migration of the stock due to decreasing suitability of the sGSL as its main spawning ground, and a new but spatially limited potential habitat in Newfoundland coasts. These results can be used to inform stock management and develop adaptive management plans in the context of climate change.
“…Since 1977, the survey has been conducted every three years between January and July and covers a large area from southern Spain to the north of Scotland, with the aim of estimating the total annual egg production of the western Atlantic mackerel stock ICES (2018); Lockwood et al (1981). The egg presence-absence and abundance data collected during the survey have been used to characterize the spawning habitat of mackerel: see Borchers et al (1997); Bruge et al (2016); Brunel et al (2018). Within the framework of an EU programme (INDICES, EU Study 97/017), the samples collected during the 1998 triennial survey were reanalyzed and eggs and larvae of other fish species were quantified Ibaibarriaga et al (2007).…”
Section: Spawning Habitat Of Three Pelagic Speciesmentioning
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