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Registros recuperados: 4
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A comparison of condition factor and gonadosomatic index of sardine Sardinops sagax stocks in the northern and southern Benguela upwelling ecosystems, 1984-1999 IRD
Kreiner, A.; Van der Linger, C.D.; Fréon, Pierre.
Tipo: Text Palavras-chave: SARDINE; STOCK; BIOMASSE; DENSITE DE POPULATION; BIOMETRIE; PHYSIOLOGIE; MATURITE SEXUELLE; VARIATION SAISONNIERE; VARIATION INTERANNUELLE; ETUDE COMPARATIVE.
Ano: 2001 URL: http://www.documentation.ird.fr/hor/fdi:010029972
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A Comparison Of Condition Factor And Gonadosomatic Index Of Sardine Sardinops Sagax Stocks In The Northern And Southern Benguela Upwelling Ecosystems, 1984–1999 OceanDocs
Van der Lingen, C.D.; Kreiner, A.; Fréon, P..
Time-series of condition factor (CF) and gonadosomatic index (GSI) were generated using general linear models (GLM) for sardine Sardinops sagax stocks in the northern and southern Benguela ecosystems over the period 1984–1999. During this period the biomass of sardine in the northern Benguela remained at relatively low levels of <500 000 tons, whereas that of southern Benguela sardine increased 40-fold to 1.3 million tons. The GLMs explained 27 and 45% of the observed variation in CF, and 32 and 28% of the observed variation in GSI, for sardine in the northern and southern Benguela subsystems respectively. Whereas the sardine CF in the northern Benguela remained stable over time, that for the southern Benguela stock declined steadily during the study...
Tipo: Journal Contribution Palavras-chave: Abstracts; Ecosystems; Sardine fisheries; Ecosystems; Http://aims.fao.org/aos/agrovoc/c_2482.
Ano: 2001 URL: http://hdl.handle.net/1834/2124
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Relating sardine recruitment in the Northern Benguela to satellite-derived sea surface height using a neural network pattern recognition approach Marine & Ocean Science
Hardman-Mountford, N.J.; Richardson, A.J.; Boyer, D.C.; Kreiner, A.; Boyer, H.J..
Processes of enrichment, concentration and retention are thought to be important for the successful recruitment of small pelagic fish in upwelling areas, but are difficult to measure. In this study, a novel approach is used to examine the role of spatio-temporal oceanographic variability on recruitment success of the Northern Benguela sardine Sardinops sagax. This approach applies a neural network pattern recognition technique, called a self-organising map (SOM), to a seven-year time series of satellite-derived sea level data. The Northern Benguela is characterised by quasi-perennial upwelling of cold, nutrient-rich water and is influenced by intrusions of warm, nutrient-poor Angola Current water from the north. In this paper, these processes are...
Tipo: Article Palavras-chave: SH Aquaculture. Fisheries. Angling; GC Oceanography.
Ano: 2003 URL: http://sabella.mba.ac.uk/1331/
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Use of environmental parameters to explain the variability in spawnerrecruitment OceanDocs
Kirchner, C. H.; Bartholomae, C. H.; Kreiner, A..
This study attempts to explain the variability in recruitment of sardine in the northern Benguela and to develop potential models by including environmental information to predict recruitment. Two different recruitment and spawner number datasets were available: a VPA-developed dataset, for the period 1952–1987, and data from a simple age-structured model for 1992–2007. In all, four environmental indices were used: the degree of the intrusion of the warm Angola Current into northern Namibia, termed the Angola–Benguela front index; the extent of the upwelling area off central Namibia; average sea surface temperature (SST) over the northern and central Namibian shelf; and wind stress anomalies at Lüderitz as an indicator of upwelling strength. Contrary to...
Tipo: Journal Contribution Palavras-chave: Currents (water); Upwelling; Sardine fisheries; Environments; Ecosystems; Anomalies; Biomass; Spawning; Recruitment.
Ano: 2009 URL: http://hdl.handle.net/1834/4671
Registros recuperados: 4
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