Long-term variability of sea surface temperature in Taiwan Strait

Belkin, Igor M.; Lee, Ming-An

doi:10.1007/s10584-014-1121-4

Cited by 31 publications

(20 citation statements)

References 44 publications

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“…In Bohai Sea, northern China, a shallow semi-enclosed sea, the sea surface temperature increased at a rate of 0.011˚C y −1 from 1960 to 1997 [21]. In the Taiwan Strait, the SST increased by 1.0˚C (at a rate of 0.045˚C y −1 ) from 1976 to 1998, and the long-term net warming increased three-fold from the South China Sea to the East China Sea [22]. An early study on the Sea Surface Temperature (SST) in Daya Bay shows an increase rate of 0.11˚C y −1 during 1970-2005 based on in situ data [15].…”

Section: Increase Of Water Temperature In the Daya Baymentioning

confidence: 99%

Environmental Ecological Response to Increasing Water Temperature in the Daya Bay, Southern China in 1982-2012

Hao¹,

Tang²,

Boicenco³

et al. 2016

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The increase of water temperature, due to thermal discharges from two nuclear power stations, was one of the most significant environmental changes since 1982 in the Daya Bay, located in the north of the South China Sea. This study investigates the long-term (1982-2012) environmental changes in Daya Bay in response to the increase of water temperature, via comprehensively interpreting and analyzing both satellite and in situ observations along with previous data. The results show that: 1) salinity, dissolved oxygen (DO), chemical oxygen demand (COD) and nutrients had been enhanced after the thermal discharges started in 1994; 2) the concentration of Chl-a increased while the net-phytoplankton abundance decreased; 3) diversity of the phytoplankton community had decreased; 4) fishery production had declined; and 5) frequency of Harmful Algal Bloom occurrence had increased. Satellite images show clearly that a thermal plume from the power stations extended toward the interior of Daya Bay, and that surface temperature of the seawater increased as one approached the power stations. The analysis suggests that the thermal water discharged from the two power stations was a driver of the ecosystem's change in Daya Bay. Several factors, including nutrients, salinity, DO, and COD, varied according to the increase of water temperature. These factors affected the water quality, Chl-a, and phytoplankton in the short term and impaired aquatic organisms and the whole ecosystem in the long term.

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Section: Increase Of Water Temperature In the Daya Baymentioning

confidence: 99%

Environmental Ecological Response to Increasing Water Temperature in the Daya Bay, Southern China in 1982-2012

Hao¹,

Tang²,

Boicenco³

et al. 2016

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“…Variation in squid cohorts can be utilized as an indicator of the effects of El Niño-Southern Oscillation events on ecosystems and productivity according to their remarkable metabolism and physiological characteristics. Furthermore, the climatic effects as well as increases in SST associated with global warming are other significant factors that influence the marine ecosystem in the SECS (Belkin and Lee 2014;Lan et al 2014). The annual landings of swordtip squid decreased from 21,000 metric tons in 2005 to 3,000 metric tons after 2011 in the coastal fisheries of Taiwan, and the area of the fishing grounds has been shrinking (Zhang et al 2012;Wang et al 2013).…”

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confidence: 99%

Variation in the Catch Rate and Distribution of Swordtip Squid Uroteuthis edulis Associated with Factors of the Oceanic Environment in the Southern East China Sea

Liao

Lan

et al. 2018

Mar Coast Fish

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Predictions from species distribution models are used to parameterize the environmental factors that influence the biology, distribution, and habitats of a species of interest. We fitted generalized additive models (GAMs) to spatiotemporal fishery data from torchlight fishing (2009-2013) to investigate the catch rates of swordtip squid Uroteuthis edulis in relation to changes in oceanographic conditions within the southern East China Sea, and we developed a habitat preference model. A high Jensen-Shannon divergence (JSD) value is considered to be an index of a thermal front. The results obtained using the selected GAMs revealed that the explained deviance in the catch rates pertaining to the oceanographic conditions was 45.10% throughout the year. All variables examined-sea surface temperature (SST), chlorophyll-a, sea surface height anomaly, and JSD-were statistically significant predictors (P < 0.05), and JSD explained the greatest amount of deviance (17.70%). The model predicted relatively high abundance of swordtip squid at 27-28°N in the southern East China Sea during spring and a decrease from June to August. The high Subject editor: Milo Adkison, University of Alaska-Fairbanks, Juneau

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“…The warming rate was considerably greater than that in the SCS and Kuroshio region off Eastern Taiwan. Belkin and Lee (2014) observed that the SST gradient between the CCC and offshore TS waters abruptly decreased in 1992 and remained low through 2011. The MK trend detection method indicated that during 1992 -1994, the SST in the TS (except in the KB region) showed an abrupt increase in the SST.…”

Section: Discussionmentioning

confidence: 98%

“…Long-term SST warming in the TS was discussed by Belkin and Lee (2014). They used the climatological data set HadISST1 (spatial resolution: 1° × 1°; total number of grids in the TS: 17) from the UK Met Office Hadley Centre for the period between 1957 and 2011 and showed that SST warming in the TS was considerably enhanced in winter.…”

Section: Discussionmentioning

confidence: 99%

Long-term AVHRR SST change analysis in the Taiwan Strait using the rotated EOF method

Kuo¹,

Lee²,

Chuang³

et al. 2017

Terr. Atmos. Ocean. Sci.

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The Taiwan Strait (TS) connects the East China Sea (ECS) and South China Sea (SCS). Flow circulation in the TS exhibits complicated patterns during winter. The cold China Coastal Current (CCC) flows southward into the northwestern side of the strait as the warm Kuroshio Branch (KB) enters the strait along the southeastern side. In addition to the control that the northeasterly monsoon exerts over the CCC intrusion strength, the complex topography modifies the circulation. The winter temperature gradient in the TS is nearly horizontal. The sea surface temperature (SST) data reveal the main circulation features, including a distinct SST front in the middle of the strait. A rotated empirical orthogonal function (REOF) analysis is applied to the advanced very-high-resolution radiometer data to define four SST regions: the CCC and KB sources as well as the regions influenced by the Taiwan Banks and the Chang-Yun Rise. The Mann-Kendall trend detection method indicated that the SST in the TS (except in the KB region) abruptly increased during 1992 -1994. The warming tendency in the KB region was slower compared with that of the other regions. The relationship between the El Niño-Southern Oscillation phase and SST variation in the TS exhibited spatial and decadal variations. The SST in the northern TS tended to be warmer (cooler) during El Niño (La Niña) years compared with normal years. However, the opposite relationship was found in the southern TS: SST cooling (warming) occurred during El Niño (La Niña) years and this phenomenon existed only after the SST warming regime shift (1992 -1994).

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Long-term variability of sea surface temperature in Taiwan Strait

Abstract: Long-term variability of sea surface temperature

Cited by 31 publications

References 44 publications

Environmental Ecological Response to Increasing Water Temperature in the Daya Bay, Southern China in 1982-2012

Environmental Ecological Response to Increasing Water Temperature in the Daya Bay, Southern China in 1982-2012

Variation in the Catch Rate and Distribution of Swordtip Squid Uroteuthis edulis Associated with Factors of the Oceanic Environment in the Southern East China Sea

Long-term AVHRR SST change analysis in the Taiwan Strait using the rotated EOF method

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