Comment on “Fisheries catch misreporting and its implications: The case of Senegal”

Chaboud, Christian; Fall, Moussa; Ferraris, Jocelyne; Fontana, André Paviotti; Fonteneau, Alain; Laloë, Francis; Samba, Alassane; Thiao, Djiga

doi:10.1016/j.fishres.2014.10.012

Cited by 17 publications

(11 citation statements)

References 1 publication

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“…Constant over‐reporting occurs when promotions or bonuses are based on output, as in China (Watson and Pauly ), or due to assumptions made in catch reconstructions such as overestimates of discard rates (Chaboud et al . ). Increasing reporting rates in major commercial fisheries in developed countries have resulted from increased observer coverage, better estimates of discards and reduction in illegal harvest for some of the world's most commercially valuable species, such as tuna (Agnew et al .…”

Section: Methodsmentioning

confidence: 93%

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Does unreported catch lead to overfishing?

Rudd¹

2016

Fish and Fisheries

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Catches are commonly misreported in many fisheries worldwide, resulting in inaccurate data that hinder our ability to assess population status and manage fisheries sustainably. Under‐reported catch is generally perceived to lead to overfishing, and hence, catch reconstructions are increasingly used to account for sectors that may be unreliably reported, including illegal harvest, recreational and subsistence fisheries, and discards. However, improved monitoring and/or catch reconstructions only aid in the first step of a fisheries management plan: collecting data to make inferences on stock status. Misreported catch impacts estimates of population parameters, which in turn influences management decisions, but the pattern and degree of these impacts are not necessarily intuitive. We conducted a simulation study to test the effect of different patterns of catch misreporting on estimated fishery status and recommended catches. If, for example, 50% of all fishery catches are consistently unreported, estimates of population size and sustainable yield will be 50% lower, but estimates of current exploitation rate and fishery status will be unbiased. As a result, constant under‐ or over‐reporting of catches results in recommended catches that are sustainable. However, when there are trends in catch reporting over time, the estimates of important parameters are inaccurate, generally leading to underutilization when reporting rates improve, and overfishing when reporting rates degrade. Thus, while quantifying total catch is necessary for understanding the impact of fisheries on businesses, communities and ecosystems, detecting trends in reporting rates is more important for estimating fishery status and setting sustainable catches into the future.

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Section: Methodsmentioning

confidence: 93%

“…, ; Chaboud et al . ), reconstructed catch time series could conceivably be lower, higher or have different trends than true catches. Given these scenarios, our results provide substantive advice for making management decisions in the face of uncertainty.…”

Section: Discussionmentioning

confidence: 99%

Does unreported catch lead to overfishing?

Rudd¹

2016

Fish and Fisheries

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“…After sorting the data by port, gear type and period (fortnightly intervals), total landings per port were estimated by multiplying the mean number of fish landed for the sampled trips by the total number of fishing trips made (Chaboud et al ., ). The landings were summed by month for each landing port (Chaboud et al ., ). Growth (July 2013–June 2014) and reproduction (1995–2011) data by size, sex, maturity stages and landing sites were extrapolated with landing data from 1995 to 2014.…”

Section: Methodsmentioning

confidence: 97%

Variability of key biological parameters of round sardinella Sardinella aurita and the effects of environmental changes

Baldé

Sow

Bâ

et al. 2019

Journal of Fish Biology

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We examined growth rates and reproductive characteristics of Sardinella aurita off Senegal and other coastal areas over a 20 year period (1995–2014) to determine how they relate to variations in environmental characteristics of coastal waters. Based on fish length‐frequency data and a coastal upwelling index, we found that S. aurita recruitment tends to occur during the periods of most intensive upwelling (March–April off Senegal). Peak reproduction corresponds to periods of low sea‐surface temperature (in February or March). The sex ratio was remarkably consistent during the 30 year study period and so was not affected by environmental changes. We hypothesise that S. aurita takes advantage of the higher zooplankton productivity that occurs in coastal waters when upwelling brings nutrient‐rich water to the surface (i.e., it increases its growth rate and accumulates energy reserves for spawning). Growth performance appears to be strongly dependent on environmental conditions. The timing of spawning seems to occur when food (zooplankton) is most available for supplying the energy requirements needed by adults for spawning and early development of larvae. Environmental changes seem to have a significant effect on S. aurita growth and reproduction, which endorses their high phenotypic plasticity.

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“…The number of trips per fishing gear was recorded on a daily basis, while landings data were randomly collected for about 5 days a week. After aggregating the data by port, gear and period (fortnightly), total landings per port were estimated by multiplying mean landings of sampled trips by the total number of fishing trips (Chaboud et al., ; Thiao, ). Note that landings were summed per month for each landing port (Chaboud et al., ; Thiao, Ngom, & Thiam, ).…”

Section: Methodsmentioning

confidence: 99%

“…After aggregating the data by port, gear and period (fortnightly), total landings per port were estimated by multiplying mean landings of sampled trips by the total number of fishing trips (Chaboud et al., ; Thiao, ). Note that landings were summed per month for each landing port (Chaboud et al., ; Thiao, Ngom, & Thiam, ). (ii) A secondary data set was only used for the VPA, the monthly size distributions of both species from the same landing ports within a period of 15 months between July 2014 and September 2015.…”

Section: Methodsmentioning

confidence: 99%

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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Comment on “Fisheries catch misreporting and its implications: The case of Senegal”

Cited by 17 publications

References 1 publication

Does unreported catch lead to overfishing?

Does unreported catch lead to overfishing?

Variability of key biological parameters of round sardinella Sardinella aurita and the effects of environmental changes

Contrasted optimal environmental windows for both sardinella species in Senegalese waters

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