The late 1980s regime shift in the ecosystem of Tsushima warm current in the Japan/East Sea: Evidence from historical data and possible mechanisms

Tian, Yongjun; Kidokoro, Hideaki; Watanabe, Teruhisa; Iguchi, Naoki

doi:10.1016/j.pocean.2008.03.007

Cited by 116 publications

(118 citation statements)

References 34 publications

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“…The PDO was demonstrated to affect ocean productivity and eddy activities at the high-and mid-latitudes 1958-1967 (purple line), 1968-1977 (brown line), 1978-1987 (green line), 1988-1997 (blue line) and 1998-2009 (red line), and the IPCC A2 scenario in sea surface temperatures (SSTs) in 2050 and 2075 (grey lines) in Taiwan Strait in winter of the North Pacific (Tian et al 2008;Tzeng et al 2012a). Numerous studies have provided compelling evidence connecting the PDO and variations in the Pacific marine ecosystems and fisheries, such as sardine populations off the coasts of Japan, California, Chile, and Peru (Yasuda et al, 1999) and Pacific salmon catches in eastern Asia and western North America (Beamish et al, 1999).…”

Section: Effects Of Climate Change On Grey Mullet Catches and Fishingmentioning

confidence: 99%

Effects of climate variability and climate change on the fishing conditions for grey mullet (Mugil cephalus L.) in the Taiwan Strait

et al. 2014

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Grey mullet (Mugil cephalus L.) is one of the most important commercial species of fish in the coastal fisheries of Taiwan. In this study, we analyzed the long-term records of grey mullet catch per unit effort (CPUE) in the Taiwan Strait (TS) to investigate the influences of climatic indices on the annual catch of grey mullet at multiple timescales. A wavelet analysis revealed that variations in climatic indices, namely the Pacific Decadal Oscillation (PDO), the Oceanic Niño Index, and sea surface temperatures (SSTs) might have affected the abundance and migration behavior of grey mullet in the TS in winter. The CPUE of grey mullet showed significant high correspondence with the annual PDO index (R 2 =0.82, p<0.01). The results suggested that the PDO affects the migration of grey mullet, but that increases in SSTs are a more important influence on the decreased catches of grey mullet after 1980. Mean SSTs increased 1.01°C at the Chang-Yuen Rise in the TS from 1984 to 2009. The 20°C isotherms in the TS in the winter also shifted from

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Section: Effects Of Climate Change On Grey Mullet Catches and Fishingmentioning

confidence: 99%

Effects of climate variability and climate change on the fishing conditions for grey mullet (Mugil cephalus L.) in the Taiwan Strait

et al. 2014

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“…Climatic oscillations, anomalies, and changes clearly affect many ecological processes in marine ecosystems, affecting the population abundances and distributions of many species (Sharp 1992;Stenseth et al 2004;Tian et al 2008). Variations in population abundances and distributions of pelagic tuna species have been observed to be clearly linked to large-scale climate phenomena such as the El Niño Southern Oscillation (ENSO) in the Pacific Ocean (Lehodey et al 1997;Sugimoto et al 2001;Torres-Orozco et al 2006) and the North Atlantic Oscillation in the Atlantic Ocean (Santiago 1997;Lan et al 2011).…”

Section: Introductionmentioning

confidence: 99%

Effects of climate variability on the distribution and fishing conditions of yellowfin tuna (Thunnus albacares) in the western Indian Ocean

2012

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Variations in the abundance and distribution of pelagic tuna populations have been associated with large-scale climate indices such as the Southern Oscillation Index in the Pacific Ocean and the North Atlantic Oscillation in the Atlantic Ocean. Similarly to the Pacific and Atlantic, variability in the distribution and catch rates of tuna species have also been observed in association with the Indian Ocean Dipole (IOD), a basin-scale pattern of sea surface and subsurface temperatures that affect climate in the Indian Ocean. The environmental processes associated with the IOD that drive variability in tuna populations, however, are largely unexplored. To better understand these processes, we investigated longline catch rates of yellowfin tuna and their distributions in the western Indian Ocean in relation to IOD events, sea surface water temperatures (SST) and estimates of net primary productivity (NPP). Catch per unit effort (CPUE) was observed to be negatively correlated to the IOD with a periodicity centred around 4 years. During positive IOD events, SSTs were relatively higher, NPP was lower, CPUE decreased and catch distributions were restricted to the northern and western margins of the western Indian Ocean. During negative IOD events, lower SSTs and higher NPP were associated with increasing CPUE, particularly in the Arabian Sea and seas surrounding Madagascar, and catches expanded into central regions of the western Indian Ocean. These findings provide preliminary insights into some of the key environmental features driving the distribution of yellowfin tuna in the western Indian Ocean and associated variability in fisheries catches.

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“…4). In previous research (Kang et al, 2000;Lim et al, 2012;Tian et al, 2003;Tian et al, 2008, Zhang et al, 2004, regime shift in the late 1980s around Korean waters was focused mainly on the East Sea and East China Sea, however there was a few research on the ecosystem and marine environment in the Yellow Sea (Kang, 2008; (Table 1). These atmospheric variations such as Arctic Oscillation and Siberian High Pressure affect water temperature in the EYS (Table 1).…”

Section: Resultsmentioning

confidence: 99%

Relationship between Winter Water Temperature in the Eastern Part of the Yellow Sea and Siberian High Pressure and Arctic Oscillation

Jung¹,

Lee²

2012

Journal of Environmental Science International

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Water temperature in the eastern part of the Yellow Sea (EYS) during winter (JFM) and summer (JJA) from 1964 to 2009 and Siberian High Pressure Index (SHI) and Arctic Oscillation index (AOI) during winter (JFM) from 1950 to 2011 were used to analyze long-term variation in oceanic and atmospheric conditions and relationship between winter and summer bottom water temperature. Winter water temperature at 0, 30 and 50 m had fluctuated highly till the late of 1980s, but after this it was relatively stable. The long-term trends in winter water temperature at both depths were separated with cold regime and warm regime on the basis of the late 1980s. Winter water temperature at 0m and 50m during warm regime increased about 0.9°C and 1.1°C respectively compared to that during cold regime. Fluctuation pattern in winter water temperature matched well with SHI and AOI The SHI had negative correlation with water temperature at 0 m (r=-0.51) and 50 m (r=-0.58). On the other hand, the AO had positive correlation with Winter water temperature at 0 m (r=0.34) and 50 m (r=0.45). Cyclic fluctuation pattern of winter water temperature had a relation with SHI and AO, in particular two to six-year periodicity were dominant from the early of the 1970s to the early of the 1980s. Before the late of 1980s, change pattern in winter water temperature at 0 and 50 m was similar with that in the bottom water temperature during summer, but after this, relationship between two variables was low.

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The late 1980s regime shift in the ecosystem of Tsushima warm current in the Japan/East Sea: Evidence from historical data and possible mechanisms

Cited by 116 publications

References 34 publications

Effects of climate variability and climate change on the fishing conditions for grey mullet (Mugil cephalus L.) in the Taiwan Strait

Effects of climate variability and climate change on the fishing conditions for grey mullet (Mugil cephalus L.) in the Taiwan Strait

Effects of climate variability on the distribution and fishing conditions of yellowfin tuna (Thunnus albacares) in the western Indian Ocean

Relationship between Winter Water Temperature in the Eastern Part of the Yellow Sea and Siberian High Pressure and Arctic Oscillation

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