New insights in the spatial dynamics of sardinella stocks off Mauritania (North-West Africa) based on logbook data analysis

Braham, Cheikh-Baye; Fréon, Pierre; Laurec, Alain; Demarcq, Hervé; Bez, Nicolas

doi:10.1016/j.fishres.2014.02.020

Cited by 34 publications

(34 citation statements)

References 11 publications

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“…However, SST was the second most important variable in S. aurita recruitment variability. The role of the upwelling intensity on S. aurita abundance was already well established (Bacha et al., ; Braham et al., ; Diankha, Thiaw, et al., ; Mbaye et al., ). Nevertheless, to our knowledge, studies quantifying the effect of upwelling intensity on S. maderensis abundance have not previously been reported.…”

Section: Discussionmentioning

confidence: 91%

Contrasted optimal environmental windows for both sardinella species in Senegalese waters

Diankha

Bâ

Brehmer

et al. 2018

Fisheries Oceanography

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We investigate Sardinella aurita and Sardinella maderensis recruitment success relative to the variability of oceanographic conditions in Senegalese waters using generalized additive models (GAM). Results show that recruitment of both species is marked by a strong intra‐annual (seasonal) variation with minimum and maximum in winter and summer, respectively. Their interannual variations are synchronous until 2006 (recruitment decreasing), while from 2007 there is no synchrony. The model developed shows that sardinella recruitment variability is closely related to the tested environmental variables in the study area. However, the key environmental variables influencing the recruitment success are different for both species: the Coastal Upwelling Index and the sea surface temperature for S. aurita and S. maderensis, respectively. We report that recruitment success of S. aurita and S. maderensis are associated with distinct ranges of sea surface temperature, upwelling intensity, wind‐induced turbulence, concentration of chlorophyll‐a and north Atlantic oscillation index. Considering food security and socio‐economic importance of both stocks, we recommend that consideration is given to the environmental variability in the small pelagic fish national management plans, particularly in the context of climate change.

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Section: Discussionmentioning

confidence: 91%

Contrasted optimal environmental windows for both sardinella species in Senegalese waters

Diankha

Bâ

Brehmer

et al. 2018

Fisheries Oceanography

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“…Seasonal element concentrations in fish from our study may be related to differences in fish behavior (spatial migration) and physiology (feeding and reproduction) and also to environmental changes such as rainfall leading to varying runoff from land and rivers, upwelling intensity, and the water circulation along the coast. In this West African area, upwelling intensity is greater during the dry season and lower during the wet season (Braham et al, 2014).…”

Section: Seasonal and Spatial Concentration Patternsmentioning

confidence: 82%

Spatial and seasonal variations of trace elements concentrations in liver and muscle of round Sardinelle (Sardinella aurita) and Senegalese sole (Solea senegalensis) along the Senegalese coast

et al. 2016

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“…The positive correlation between the S. aurita abundance and the CUI in spring suggested a direct influence of the duration of the coastal upwelling season, peaking in winter (Lathuilière et al., ). The coastal upwelling intensity was shown to be a source of interannual fluctuations observed in the coastal abundance of S. aurita in West Africa (Braham et al., ; Demarcq & Faure, ; Diankha et al., ; Mbaye et al., ). This pattern is also in accordance with the dynamics exhibited by other important resources in the area (for example, Farfantepenaeus notialis and Octopus vulgaris ), which have similar periodicity (Thiaw, Gascuel, Thiao, Thiaw, & Jouffre, ; Thiaw et al., ).…”

Section: Discussionmentioning

confidence: 99%

“…Monthly CPUEs were estimated using a GLM from the commercial industrial fishery statistics. The GLM allowed us to determine the spatial and seasonal distribution scheme of sardinella, and this scheme was used in turn for the calculation of monthly AIs (Braham et al., ; Gascuel et al., ; Meissa, Gascuel, & Rivot, ; Thiaw, Gascuel, Jouffre, & Thiaw, ).…”

Section: Methodsmentioning

confidence: 99%

“…In NW Africa, the influence of the environment on fisheries resources has been increasingly studied in recent decades (Cury & Roy, ; Demarcq & Faure, ; Faure, Inejih, Demarcq, & Cury, ; Caballero‐Alfonso et al., ; Braham, Fréon, Laurec, Demarcq, & Bez, ; Mbaye et al., ; ). The changes in hydro‐climatic conditions are likely to be the major cause of the strong variability of coastal pelagic resources, particularly for sardinella.…”

Section: Introductionmentioning

confidence: 99%

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Effect of environmental conditions on the seasonal and inter‐annual variability of small pelagic fish abundance off North‐West Africa: The case of both Senegalese sardinella

Thiaw

Auger

Ngom

et al. 2017

Fisheries Oceanography

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The objective of this study was to assess the effect of environmental variations on the abundance of Sardinella aurita and Sardinella maderensis in Senegalese waters in the upwelling system. Monthly data indicating the abundance of sardinella were first estimated from commercial statistics, using Generalized Linear Model from 1966 to 2011. Abundance indices (AIs) were then compared with environmental indices, at the local scale, a Coastal Upwelling Index (CUI) and a coastal Sea Surface Temperature (SST) index, and on a large scale, the North Atlantic Oscillation (NAO), the Atlantic Multidecadal Oscillation (AMO) and the Multivariate El Niño Southern Oscillation Index (MEI), using correlations and times series analyses. The results showed that the abundance of sardinella is determined by a strong seasonal pattern and inter‐annual fluctuations. The abundance of S. aurita peaked in spring and in autumn, whereas that of S. maderensis peaked in the warm season (July–September). The trend of the sardinella abundance was significantly correlated with the CUI, especially in autumn and spring. Interannual fluctuations of S. maderensis and S. aurita abundance are, respectively, driven by the precocity and the duration of the upwelling season that is attributed to distinct migration patterns. Both sardinella species also respond with a delay of around 4 years to the winter NAO index and the autumn CUI, and the AMO index, respectively, both related to migration patterns. The wide variations in sardinella biomass are caused by variations in environmental conditions, which should be considered in the implementation of an ecosystem‐based approach in sardinella stocks management.

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New insights in the spatial dynamics of sardinella stocks off Mauritania (North-West Africa) based on logbook data analysis

Cited by 34 publications

References 11 publications

Contrasted optimal environmental windows for both sardinella species in Senegalese waters

Contrasted optimal environmental windows for both sardinella species in Senegalese waters

Spatial and seasonal variations of trace elements concentrations in liver and muscle of round Sardinelle (Sardinella aurita) and Senegalese sole (Solea senegalensis) along the Senegalese coast

Effect of environmental conditions on the seasonal and inter‐annual variability of small pelagic fish abundance off North‐West Africa: The case of both Senegalese sardinella

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