2006
DOI: 10.1175/jcli3898.1
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Climate Variability, Fish, and Fisheries

Abstract: Fish population variability and fisheries activities are closely linked to weather and climate dynamics. While weather at sea directly affects fishing, environmental variability determines the distribution, migration, and abundance of fish. Fishery science grew up during the last century by integrating knowledge from oceanography, fish biology, marine ecology, and fish population dynamics, largely focused on the great Northern Hemisphere fisheries. During this period, understanding and explaining interannual f… Show more

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Cited by 385 publications
(277 citation statements)
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References 94 publications
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“…Black bar: fishing effort of purse seiners; Grey bar: fishing effort of gill nets; Red line: CPUE of purse seiners; Blue bar: CPUE of gill nets Second, increasing sea surface temperatures (SSTs) and other climatic effects associated with global warming have contributed to reduce catches of grey mullet in Taiwan (Hung and Shaw 2006). Climatic effects on the fluctuations of fish populations and fisheries have long been recognized and continue to be critical (Lehodey et al 2006;Hsieh et al 2009;Tzeng et al 2012a;Lan et al 2012). The most widely studied climatic events causing impacts on fishes include those on an inter-annual scale, such as the El Niño/Southern Oscillation (ENSO) (Lehodey et al 2006;Hsieh et al 2009), and on a decadal scale, such as the Pacific Decadal Oscillation (PDO) (Mantua et al 1997;Tzeng et al 2012a).…”
Section: Introductionmentioning
confidence: 99%
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“…Black bar: fishing effort of purse seiners; Grey bar: fishing effort of gill nets; Red line: CPUE of purse seiners; Blue bar: CPUE of gill nets Second, increasing sea surface temperatures (SSTs) and other climatic effects associated with global warming have contributed to reduce catches of grey mullet in Taiwan (Hung and Shaw 2006). Climatic effects on the fluctuations of fish populations and fisheries have long been recognized and continue to be critical (Lehodey et al 2006;Hsieh et al 2009;Tzeng et al 2012a;Lan et al 2012). The most widely studied climatic events causing impacts on fishes include those on an inter-annual scale, such as the El Niño/Southern Oscillation (ENSO) (Lehodey et al 2006;Hsieh et al 2009), and on a decadal scale, such as the Pacific Decadal Oscillation (PDO) (Mantua et al 1997;Tzeng et al 2012a).…”
Section: Introductionmentioning
confidence: 99%
“…Climatic effects on the fluctuations of fish populations and fisheries have long been recognized and continue to be critical (Lehodey et al 2006;Hsieh et al 2009;Tzeng et al 2012a;Lan et al 2012). The most widely studied climatic events causing impacts on fishes include those on an inter-annual scale, such as the El Niño/Southern Oscillation (ENSO) (Lehodey et al 2006;Hsieh et al 2009), and on a decadal scale, such as the Pacific Decadal Oscillation (PDO) (Mantua et al 1997;Tzeng et al 2012a). In particular, large-scale climatic oscillations such as the ENSO can cause SST changes on an inter-annual scale (Tzeng et al 2012b;Kuo and Lee 2013).…”
Section: Introductionmentioning
confidence: 99%
“…For example, anomalously high returns of adult salmon to Kukaklek Lake in the past decade, unprecedented since record keeping began in 1956, appear to have been part of a natural cycle in sockeye productivity for that lake (7). In the absence of harvesting, climate is often considered to be the main driver of large shifts in fish abundance (2). Indeed, interdecadal variability in North Pacific sockeye salmon production during the past century has been tied to marine ecosystem shifts linked to the PDO (12,27).…”
Section: Discussionmentioning
confidence: 99%
“…Oncorhynchus nerka | nitrogen stable isotopes | fisheries | paleolimnology L arge fluctuations in abundance are a hallmark of fish stocks (1,2); fish abundance can fluctuate substantially over interannual to centennial time scales (3)(4)(5). Recent short-term variation in stock abundance can be characterized by fisheries catch records and scientific survey data, but to characterize low-frequency variability requires novel ecological approaches (6).…”
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confidence: 99%
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