Identifying stock structuring in the sandeel, Ammodytes marinus, from otolith microchemistry

Wright, Peter J.; Regnier, Jérémi; Gibb, Fiona M.; Augley, Julian; Devalla, Sandhya

doi:10.1016/j.fishres.2017.11.015

Cited by 15 publications

(12 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Kennedy, Chamberlain, Blum, Nislow, & Folt, 2005;Khan et al, 2012;Miyan, Khan, Patel, Khan, & Ansari, 2016;Wright, Regnier, Gibb, Augley, & Devalla, 2018). There could be habitat and/or species-specific variation in the type of elements present in otoliths that exert great influence in discriminating the fish stocks.For example, Ba:Ca, K:Ca, Li:Ca, Mg:Ca, Na:Ca and Sr:Ca showed significant spatial variability in the Gangetic population of S. aor.…”

mentioning

confidence: 99%

Spatial and temporal variation in otolith chemistry and its relationship with water chemistry: Stock discrimination of Sperata aor

Nazir

Khan

2019

Ecology of Freshwater Fish

View full text Add to dashboard Cite

Long‐whiskered catfish, Sperata aor (Hamilton 1822), is commercially important in food, ornamental and sport fisheries. The fish is mainly caught from the wild populations because its aquaculture practices are not commercialised. Inland fishery in the Ganga basin is mostly unorganised; hence, no published report is available on the trend of S. aor production from the selected habitat. In India, S. aor has been categorised vulnerable mainly due to natural and anthropogenic threats. Otolith chemistry shows variation with changing physico‐chemical conditions of the fish habitat. Therefore, the present study was conducted with the objective to analyse spatio‐temporal variations in water chemistry in relation to environmental factors; relationship between water and otolith chemistry; and spatio‐temporal variations in otolith chemistry to discriminate the stocks of S. aor inhabiting the River Ganga. Most of the element: Ca ratios in water samples did not show significant correlations with environmental factors, viz. temperature and conductivity. Only few element: Ca concentrations in otoliths were positively correlated to their corresponding ratios in the ambient water. In the selected study area, the S. aor populations were discriminated into four stocks possibly because of heterogeneous water chemistry at the sampling sites, and physical barriers. In the present study, otolith chemistry showed relatively low temporal variability as compared to spatial variability; thus, the classification accuracy of individuals to their original populations remained consistent over the selected time period. The findings could be useful in devising scientifically sound management strategies and/or any conservation plans for the vulnerable S. aor populations inhabiting the River Ganga.

show abstract

mentioning

confidence: 99%

Spatial and temporal variation in otolith chemistry and its relationship with water chemistry: Stock discrimination of Sperata aor

Nazir

Khan

2019

Ecology of Freshwater Fish

View full text Add to dashboard Cite

show abstract

“…There was some evidence that this geographical structure was driven by sandeel spatial structure, where the 3 identified core clusters were situated in separate sandeel sub-population regions. In particular, the sandeel sub-population on the Scottish east coast can be clearly distinguished from other subpopulations (Wright et al 2018, 2019, Jiménez Mena et al 2020, and this was reflected in a strong cluster of colonies with synchronous breeding success. The information on sandeel spatial structure is less complete in Shetland and Orkney, and patterns of kittiwake breeding success synchrony were also less clear here.…”

Section: Discussionmentioning

confidence: 98%

“…Along the North Sea coast of the British mainland, there are 2 distinct sandeel sub-populations that are managed as separate ICES stock assessment areas (ICES 2017), delineated based on larval transport patterns (Christensen et al 2008). This delineation is supported by both otolith microchemistry (Wright et al 2018) and genetic structure (Jiménez-Mena et al 2020). ICES has not considered the evidence for structuring north of mainland UK, but based on evidence from distribution (Wright 1996), larval transport modelling (Proc-tor et al 1998) and otolith microchemistry (Gibb et al 2017), we divided Orkney and Shetland into 2 separate sub-populations.…”

Section: Inferring Causes Of Synchronymentioning

confidence: 99%

Spatial synchrony of breeding success in the blacklegged kittiwake Rissa tridactyla reflects the spatial dynamics of its sandeel prey

Olin

Banas

Wright

et al. 2020

Mar. Ecol. Prog. Ser.

View full text Add to dashboard Cite

Synchrony in demographic rates between spatially disjunct populations is a widespread phenomenon, although the underlying mechanisms are often not known. This synchrony and its spatial patterns can have important consequences for the long-term persistence of metapopulations and can also be used to infer drivers of population dynamics. Here, we examined spatial patterns of synchrony in the breeding success of black-legged kittiwakes Rissa tridactyla in the UK, using an extensive dataset on kittiwake breeding success and 2 different ways of measuring synchrony: one reflecting synchrony in inter-annual fluctuations only (rdiff) and one reflecting synchrony in both inter-annual fluctuations and long-term trends (r). We found that between-colony synchrony in breeding success decreased with distance up to just over 200 km but that some colony pairs showed stronger or weaker synchrony than expected based on distance. This was also reflected in the configuration of spatially coherent clusters of kittiwake colonies with synchronous breeding success. Further, we compared the support for different drivers of these spatial patterns, including trophic interactions and weather conditions. We found that the spatial dynamics of the kittiwakes’ main prey in this region, the lesser sandeel Ammodytes marinus, appeared to play some role in generating synchrony in long-term patterns, but their role in generating synchrony in inter-annual fluctuations was less clear. The study shows that examining spatial patterns in synchrony can provide useful information for inferring potential drivers and the spatial scale over which they are acting.

show abstract

“…The seabird and mammal species were chosen to provide contrasts in their foraging and breeding behaviors and for the high level of spatial and temporal data availability. Sandeels have very specific benthic habitat needs (Wright, Jensen, & Tuck, 2000) with localized populations that have a tendency to remain in the same areas throughout their life histories (van der Kooij, Scott, & Mackinson, 2008;Wright, Régnier, Gibb, Augley, & Devalla, 2018). Gray and harbor seals were selected due to their similarities in diet and foraging behaviors and yet contrasting population dynamics: Gray seal populations are currently rapidly increasing and harbor seals declining (Wilson & Hammond, 2019).…”

Section: Study Area and Speciesmentioning

confidence: 99%

“…For fish prey species, we choose two species that are very common in the diet of all the above top predators (Booth, 2019;Wanless, Harris, Newell, Speakman, & Daunt, 2018;Wilson & Hammond, 2019) but have very contrasting behaviors and habitat use. Sandeels have very specific benthic habitat needs (Wright, Jensen, & Tuck, 2000) with localized populations that have a tendency to remain in the same areas throughout their life histories (van der Kooij, Scott, & Mackinson, 2008;Wright, Régnier, Gibb, Augley, & Devalla, 2018). Herring, in particular juvenile herring, have large larval movements (age 1) and adult annual migrations (age 2,3 and older), such that they are found in quite different habitats at different ages and seasons (Corten, 2002).…”

Section: Study Area and Speciesmentioning

confidence: 99%

Ecological costs of climate change on marine predator–prey population distributions by 2050

Sadykova

Scott

Dominicis

et al. 2020

Ecology and Evolution

View full text Add to dashboard Cite

Identifying and quantifying the effects of climate change that alter the habitat overlap of marine predators and their prey population distributions is of great importance for the sustainable management of populations. This study uses Bayesian joint models with integrated nested Laplace approximation (INLA) to predict future spatial density distributions in the form of common spatial trends of predator-prey overlap in 2050 under the "business-as-usual, worst-case" climate change scenario. This was done for combinations of six mobile marine predator species (gray seal, harbor seal, harbor porpoise, common guillemot, black-legged kittiwake, and northern gannet) and two of their common prey species (herring and sandeels). A range of five explanatory variables that cover both physical and biological aspects of critical marine habitat were used as follows: bottom temperature, stratification, depth-averaged speed, net primary production, and maximum subsurface chlorophyll. Four different methods were explored to quantify relative ecological cost/benefits of climate change to the common spatial trends of predator-prey density distributions. All but one future joint model showed significant decreases in overall spatial percentage change. The most dramatic loss in predator-prey population overlap was shown by harbor seals with large declines in the common spatial trend for both prey species. On the positive side, both gannets and guillemots are projected to have localized regions with increased overlap with sandeels. Most joint predator-prey models showed large changes in centroid location, however the direction of change in centroids was not simply northwards, but mostly ranged from northwest to northeast. This approach can be very useful in informing the design of spatial management policies under climate change by using the potential differences in ecological costs to weigh up the trade-offs in decisions involving issues of large-scale spatial use of our oceans, such as marine protected areas, commercial fishing, and large-scale marine renewable developments.

show abstract

Identifying stock structuring in the sandeel, Ammodytes marinus, from otolith microchemistry

Cited by 15 publications

References 34 publications

Spatial and temporal variation in otolith chemistry and its relationship with water chemistry: Stock discrimination of Sperata aor

Spatial and temporal variation in otolith chemistry and its relationship with water chemistry: Stock discrimination of Sperata aor

Spatial synchrony of breeding success in the blacklegged kittiwake Rissa tridactyla reflects the spatial dynamics of its sandeel prey

Ecological costs of climate change on marine predator–prey population distributions by 2050

Contact Info

Product

Resources

About