2010
DOI: 10.1016/j.fishres.2009.11.010
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How do environmental factors affect the stock–recruitment relationship? The case of the Pacific sardine (Sardinops sagax) of the northeastern Pacific Ocean

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Cited by 30 publications
(9 citation statements)
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“…Stock‐recruitment models have attempted to explain this variability based on statistical correlations. These correlations were inferred from different drivers such as temperature (Lindegren & Checkley, ), oceanographic indices (PDO, NPGO and MEI, [Jacobson & MacCall, ; Galindo‐Cortes, De Anda‐Montanez, Arreguin‐Sanchez, Salas, & Balart, ; ]), variations in the spawning stock biomass of sardine and changes in the somatic condition of parents (Zwolinski & Demer, ). Despite several explanations, understanding the full array of climate‐induced effects on recruitment of Pacific sardine remains a topic of ongoing research.…”
Section: Introductionmentioning
confidence: 99%
“…Stock‐recruitment models have attempted to explain this variability based on statistical correlations. These correlations were inferred from different drivers such as temperature (Lindegren & Checkley, ), oceanographic indices (PDO, NPGO and MEI, [Jacobson & MacCall, ; Galindo‐Cortes, De Anda‐Montanez, Arreguin‐Sanchez, Salas, & Balart, ; ]), variations in the spawning stock biomass of sardine and changes in the somatic condition of parents (Zwolinski & Demer, ). Despite several explanations, understanding the full array of climate‐induced effects on recruitment of Pacific sardine remains a topic of ongoing research.…”
Section: Introductionmentioning
confidence: 99%
“…Development of stock-recruitment-environment relationships for both invertebrate and finfish species has highlighted the variability and range of productivity within a single stock [14][15][16]. An illustrative example is provided in the self-regeneration model for North Sea cod (Gadus morhua) [16].…”
Section: Self-regenerating Stocks and The Limitations Of Enhancementmentioning
confidence: 99%
“…To understand the complexity of natural patterns in tropical small-scale fisheries, it is necessary to take into account the nature and resolution of the environmental data: complex models require high quality data producing broad confidence intervals; by contrast, simple models present the advantage of low data requirement with low statistical error. These, however, can overlook some important processes, and may fail to consider the non-linear nature of the environment-ecosystem relationship [ 6 , 7 , 8 ].…”
Section: Introductionmentioning
confidence: 99%