Suitability of the large marine ecosystem concept

Sherman, Kenneth; Ajayi, T. O.; Anang, Emilia; Cury, Philippe; Freon, M.C.M. Pierre; Hardman-Mountford, Nicholas J.; Ibe, Chidi A.; Koranteng, K.A.; McGlade, Jacqueline; Nauen, Cornelia E.; Pauly, Daniel; Scheren, Peter; Skjoldal, Hein Rune; Tang, Qisheng; Zabi, S. Guillaume F.; Díaz-de-León, Antonio J.

doi:10.1016/j.fishres.2003.09.001

Cited by 12 publications

(9 citation statements)

References 30 publications

(10 reference statements)

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“…Disease occurrence in aquatic animal production is beginning to show a significant impact on yield (Hudson, 1990). In a situation where there is low stocking densities, with low management practice characterized by traditional captured fisheries or extensively managed culture system, there was low yield levels (Sherman et al, 2000). In effect, the rate of disease occurrence was low.…”

Section: Introductionmentioning

confidence: 99%

Comparative studies of bacteria load in fish species of commercial importance at the Aquaculture Unit and Lagoon Front of the University of Lagos

Olugbojo¹,

Ayoola²

2015

Int. J. Fish. Aquac.

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Bacteria diseases are widespread and can be of particular importance in fish farming. Bacteria exist as micro flora in water until certain environmental conditions such as poor water quality occur, which could impose a stress on fish, thereby making them vulnerable to infection, most especially by pathogenic bacteria. This study was carried out to assess and compare the bacteria diversities and population in Clarias gariepinus, Sarotherodon melanotheron and Oreochromis niloticus, in the three grow out ponds of the aquaculture unit of the Department of Marine Science and Lagoon Front of the University of Lagos. It also aims at determining their public health significance. The experiment was carried out between May-September 2013. Water samples were collected from the three grows out ponds in the Department of Marine Sciences and from Lagos lagoon Front of the University of Lagos. In each case, water samples were analysed for the possible indicator organisms of faecal and industrial pollutions such as Escherichia coli, Staphylococcus aureus, Salmonella spp., feacal streptococcus, Vibrio spp., and Clostridium spp. From the result obtained, all the bacteria listed above were first seen as common bacteria in all the samples of water analysed. Further studies (biochemical tests) also reveal bacteria such as Klebsiella spp., Proteus spp., Enterobacter aerogenes, Citrobacter spp. and Pseudomonas aeroginosa. Moreover, the same indicator bacteria seen in water samples were also detected in the different body parts (flesh, mouth, gill and gut) of each of the fish species analysed, both from the Departmental ponds and Lagoon front, except Clostridium perfringes (C. welchii), Vibrio cholera and Salmonella typii which were found in the gut of those fish species from the departmental ponds A-C and in the mouth, gill and gut of the fishes from lagoon front. The population of each of these bacteria was found to be highest in the gut region, followed by the gill, the mouth and least in the flesh. There was no significant difference in the population of each of the bacterial across pond water (P>0.05). Same is the case with each bacteria analysed across body parts of the fish species (skin, mouth, gill and gut) in the Departmental ponds, that is, no significant difference (P>0.05). But, when compared with the lagoon front (both for water and fish samples) the difference was highly significant (P<0.05). None of the population of the bacteria in the ponds exceeds the limit for human consumption. The bacteria load in the lagoon fish (skin, mouth, gill and gut) was higher than the recommended limit for human consumption. Therefore, they are not fit for consumption most especially samples from the mouth, gill and gut, except effective processing treatment is employed before consumption. Due policy should also be taken by the government to curtail the tradition of indiscriminate discharge of untreated effluent into the lagoon.

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Section: Introductionmentioning

confidence: 99%

Comparative studies of bacteria load in fish species of commercial importance at the Aquaculture Unit and Lagoon Front of the University of Lagos

Olugbojo¹,

Ayoola²

2015

Int. J. Fish. Aquac.

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“…From a Eularian perspective, spatial scales of marine ecosystems range from the ocean basins (1-15 Â 10 7 km −2 ) [49] to coastal ecosystems that may be less than 10 km −2 (e.g., tidal marshes, coral reefs) or as large as 1-5 Â 10 5 km −2 (e.g., Large Marine Ecosystems and a few large marine protected areas) [50,51]. Temporal scales that must be resolved to detect secular trends in pressures, changes Table 1 Marine ecosystem states and the ecosystem services that are influenced directly by changes in them.…”

Section: Boundary Conditions and Time Scales Of Resolutionmentioning

confidence: 99%

“…Given the results of many efforts to identify a common set of indicators [3,5,6,20,41,42,48,50,136,137], and with guidance from practitioners and expert panels of the Intergovernmental Oceanographic Commission [28,138,139], three chemical indicators and ten biological indicators were identified (Table 2). Each indicator is directly related to two or more ecosystem states and is sensitive to multiple pressures (Table 3).…”

Section: Pressures and Core Indicators Of Coastal Ecosystem Statesmentioning

confidence: 99%

A global ocean observing system framework for sustainable development

et al. 2014

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“…Nevertheless, if their estimates were correct, the problem presented above would only get worse. Indeed, an ecosystem monitoring program is a primary requisite for the use of precautionary management approaches (Sherman 1991, Lee 1993, Christensen et al 1996, Everson and de la Mare 1996. However, at a subarea scale the reduction would be minimal.…”

Section: Managing the Krill Fishery Through Etmsmentioning

confidence: 99%

A Spatially Explicit Model of the Antarctic Krill Fishery Off the South Shetland Islands

Marı́n

Delgado

2001

Ecological Applications

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We show the development of a spatially explicit ecosystem model for the Euphausia superba fishery in the South Shetland Islands area (Antarctic Peninsula). We generated a virtual ecosystem, using a spatial automaton-geographic information system technique, to study management scenarios. We used literature data to generate the advection field, the initial krill biomass, and the distribution and size of penguin colonies in the area. Parameters for the fishing fleet were extracted from analysis of Chilean krill-fishing vessels. The model assumes that krill are passive current drifters and that penguin foraging occurs in areas close to their colonies. We analyzed the effect that a simulated 20-vessel fishing fleet would have on the availability of prey, considering the krill flux due to advection. The results show that it would be reasonable to manage the krill fishery in the South Shetland Islands as an interconnected set of ecotrophic modules, allocating the fleet downstream from the main penguin foraging sector.

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Suitability of the large marine ecosystem concept

Cited by 12 publications

References 30 publications

Comparative studies of bacteria load in fish species of commercial importance at the Aquaculture Unit and Lagoon Front of the University of Lagos

Comparative studies of bacteria load in fish species of commercial importance at the Aquaculture Unit and Lagoon Front of the University of Lagos

A global ocean observing system framework for sustainable development

A Spatially Explicit Model of the Antarctic Krill Fishery Off the South Shetland Islands

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