Assessment of the commercial artisanal fishing impact on three endemic pelagic fish stocks, Stolothrissa tanganicae, Limnothrissa miodon and Lates stappersi, in Bujumbura and Kigoma sub-basins of Lake Tanganyika

2006 ◽  
Vol 29 (3) ◽  
pp. 1189-1193
Author(s):  
N'sibula Mulimbwa
Keyword(s):  
Lake Tanganyika ◽  
Pelagic Fish ◽  
Artisanal Fishing ◽  
Fish Stocks ◽  
Fishing Impact ◽  
Limnothrissa Miodon

scholarly journals Herring and ICES: a historical sketch of a few ideas and their linkages

2009 ◽  
Vol 66 (8) ◽  
pp. 1652-1661 ◽  
Author(s):  
Mike Sinclair
Keyword(s):  
Paradigm Shift ◽  
Pelagic Fish ◽  
Marine Ecology ◽  
Effective Management ◽  
Paradigm Shifts ◽  
Population Thinking ◽  
Fish Stocks ◽  
Considerable Debate ◽  
Historical Sketch

Abstract Sinclair, M. 2009. Herring and ICES: a historical sketch of a few ideas and their linkages. – ICES Journal of Marine Science, 66: 1652–1661. This introduction to the Symposium on “Linking Herring” sketches the development of some ideas generated from herring research within an ICES context. The work of Committee A (1902–1908), under the leadership of Johan Hjort, led to a paradigm shift from “migration thinking” to “population thinking” as the interpretation of fluctuations in herring landings. From the 1920s to the 1950s, the focus on forecasting services for the herring fisheries, although ultimately unsuccessful, had the unintended consequence of generating ideas on recruitment overfishing and the match–mismatch hypothesis. The collapse of the East Anglian fishery led, in 1956, to considerable debate on its causes, but no consensus was reached. Three consecutive symposia dealing with herring (1961, 1968, and 1970) reveal a changing perspective on the role of fishing on recruitment dynamics, culminating in Cushing’s 1975 book (“Marine Ecology and Fisheries”, referred to here as the “Grand Synthesis”), which defined the concept of recruitment overfishing and established the future agenda for fisheries oceanography. The 1978 ICES “Symposium on the Assessment and Management of Pelagic Fish Stocks” is interpreted as the “Aberdeen Consensus” (i.e. without effective management, recruitment overfishing is to be expected). In conclusion, herring research within ICES has led to many ideas and two major paradigm shifts.

Assessment of the impacts of artisanal fishing gears on nearshore fish stocks along coastal waters off the Kilwa–Mafia seascape in Tanzania

2019 ◽  
Vol 27 ◽  
pp. 100531 ◽  
Author(s):  
M. Chande ◽  
I.A. Kimirei ◽  
M.M. Igulu ◽  
B. Kuguru ◽  
R. Kayanda ◽  
...  
Keyword(s):  
Coastal Waters ◽  
Artisanal Fishing ◽  
Fish Stocks ◽  
Fishing Gears

Artisanal fishing impact on deep coralligenous animal forests: A Mediterranean case study of marine vulnerability

2019 ◽  
Vol 177 ◽  
pp. 112-126 ◽  
Author(s):  
F. Enrichetti ◽  
S. Bava ◽  
G. Bavestrello ◽  
F. Betti ◽  
L. Lanteri ◽  
...  
Keyword(s):  
Artisanal Fishing ◽  
Fishing Impact

Variations in productivity of the Canary Current Large Marine Ecosystem and their effects on small pelagic fish stocks

2016 ◽  
Vol 17 ◽  
pp. 105-117 ◽  
Author(s):  
Birane Sambe ◽  
Merete Tandstad ◽  
Ana Maria Caramelo ◽  
Bradford E. Brown
Keyword(s):  
Marine Ecosystem ◽  
Pelagic Fish ◽  
Small Pelagic Fish ◽  
Fish Stocks ◽  
Large Marine Ecosystem

scholarly journals Limnological variability and pelagic fish abundance (Stolothrissa tanganicae and Lates stappersii) in Lake Tanganyika

Hydrobiologia ◽  
2009 ◽  
Vol 625 (1) ◽  
pp. 117-134 ◽  
Author(s):  
P.-D. Plisnier ◽  
H. Mgana ◽  
I. Kimirei ◽  
A. Chande ◽  
L. Makasa ◽  
...  
Keyword(s):  
Lake Tanganyika ◽  
Pelagic Fish ◽  
Fish Abundance ◽  
Lates Stappersii

scholarly journals Bayesian spatial multispecies modelling to assess pelagic fish stocks from acoustic- and trawl-survey data

2012 ◽  
Vol 69 (1) ◽  
pp. 95-104 ◽  
Author(s):  
Teppo Juntunen ◽  
Jarno Vanhatalo ◽  
Heikki Peltonen ◽  
Samu Mäntyniemi
Keyword(s):  
Spatial Distribution ◽  
Survey Data ◽  
Spatial Model ◽  
Pelagic Fish ◽  
Clupea Harengus ◽  
Environmental Data ◽  
Total Biomass ◽  
Trawl Survey ◽  
Linear Predictor ◽  
Fish Stocks

Abstract Juntunen, T., Vanhatalo, J., Peltonen, H., and Mäntyniemi, S. 2012. Bayesian spatial multispecies modelling to assess pelagic fish stocks from acoustic- and trawl-survey data. – ICES Journal of Marine Science, 69: 95–104. A Bayesian spatial model was constructed to estimate the abundance of multiple fish species in a pelagic environment. Acoustic- and trawl-survey data were combined with environmental data to predict the spatial distribution of (i) the acoustic backscattering of fish, (ii) the relative proportion of each species, and (iii) their mean length in the Gulf of Finland in the northeastern Baltic Sea. By combining the three spatial model layers, the spatial distribution of the biomass of each species was estimated. The model consists of a linear predictor on environmental variables and a spatial random effect given by a Gaussian process. A Bayesian approach is a natural choice for the task because it provides a theoretically justified means of summarizing the uncertainties from various model layers. In the study area, three species dominate pelagic waters: sprat (Sprattus sprattus), herring (Clupea harengus), and three-spined stickleback (Gasterosteus aculeatus). Results are presented for each model layer and for estimated total biomass for each species in 2 × 2 km lattices. The posterior mean and central 95% credible intervals of total biomass were sprat 45.7 kt (27.7–71.6), herring 24.6 kt (9.7–41.3), and three-spined stickleback 1.9 kt (0.9–3.2).

scholarly journals What hat are you wearing? On the multiple roles of fishery scientists in the ICES community

2015 ◽  
Vol 73 (2) ◽  
pp. 209-216 ◽  
Author(s):  
Dorothy J. Dankel ◽  
Kari Stange ◽  
Kåre Nolde Nielsen
Keyword(s):  
Pelagic Fish ◽  
Multiple Roles ◽  
Marine Science ◽  
Network Organization ◽  
Fish Stocks ◽  
International Council ◽  
Advisory Councils ◽  
Work Tasks ◽  
Management Plans ◽  
Policy Relevant Science

Abstract Trends towards a more participatory agenda in policy-relevant science imply that the roles and work tasks of scientists become more multifaceted. In Europe, the increased use of multiannual plans creates a need for fishery scientists to contribute with their expertise in a wide variety of situations. We identify and characterize four roles for scientists as developers , reviewers , judges , and messengers in arenas where management plans are produced and evaluated. Using examples of producing and evaluating management plans for pelagic fish stocks in Europe, we present different scientific roles and how they may intertwine. The examples illustrate that fishery scientists increasingly interact with advisory councils and industry stakeholders when performing roles as developers and messengers. The roles as reviewers and judges are typically affiliated with evaluation processes carried out under the auspices of the marine science and advisory organization International Council for the Exploration of the Sea (ICES). While it may be difficult to separate the roles in practice, we argue that it must be emphasized to be aware of their different requirements to ensure that scientific credibility is not compromised. By asking the question “What hat are you wearing?”, we encourage individual fishery scientists, their employers, and ICES as a network organization of expertise to reflect on roles, affiliations, mandates, and possible consequences of wearing different “hats”.

scholarly journals Evidence of a variable “unsampled” pelagic fish biomass in shallow water (<20 m): the case of the Gulf of Lion

2006 ◽  
Vol 63 (3) ◽  
pp. 444-451 ◽  
Author(s):  
P. Brehmer ◽  
J. Guillard ◽  
Y. Guennégan ◽  
J.L. Bigot ◽  
B. Liorzou
Keyword(s):  
Time Series ◽  
Population Dynamics ◽  
Shallow Water ◽  
Pelagic Fish ◽  
Fish Density ◽  
Fish Biomass ◽  
Small Pelagic Fish ◽  
Fish Stocks ◽  
Gulf Of Lion ◽  
Bottom Depth

Abstract Studies of small pelagic fish biomass are limited by the fact that research vessels and fishing boats are usually restricted to working areas with a bottom depth >20 m. Consequently, “unsampled” areas can represent a large proportion of the continental shelf, and the biomass in those areas can be important and must be taken into account in assessment methods in order to avoid misleading interpretations in population dynamics. A time-series ten years long has been compiled from acoustic-assessment surveys of small pelagic fish stocks, and the results show an overall increase in the acoustic fish density towards the coast, where values were the highest. Additional experiments on transects covering shallow-water areas (5–20 m) were conducted from 2001 to 2003 with small boats and a research vessel to evaluate the acoustic fish density in those areas. The results confirmed that the fish biomass in shallow water is significant, sometimes very large, and should be evaluated to avoid underestimation. Therefore, surveys should be conducted in shallow water, if at all possible, as well as at greater depths when carrying out surveys destined to support assessment exercises.

Fishing

2019 ◽  
pp. 82-99
Author(s):  
Ken H. Andersen
Keyword(s):  
Impact Assessment ◽  
Analytical Model ◽  
Life Histories ◽  
Ecological Impact ◽  
Theoretical Framework ◽  
Pelagic Fish ◽  
Reference Points ◽  
Demographic Model ◽  
Fish Stocks ◽  
Demersal Species

This chapter exploits the previous chapter's demographic model to make impact assessment of fishing and calculate fisheries reference points for fish stocks with asymptotic sizes of 10 g, 333 g, and 10 kg. The three asymptotic sizes span the variation in fish life histories from small and short-lived forage fish species, such as sardine or sprat; to small pelagic fish, such as herring or mackerel; to large demersal species, such as cod or saithe. When fishing is added to the demographic model, the model has to be solved numerically. To complement the numerical results, the chapter first develops a very simplified analytical model. It then goes on to formulate a complete theoretical framework that can be applied to make ecological impact assessments of fishing a single stock.

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