The influence of climate regime shifts on the marine environment and ecosystems in the East Asian Marginal Seas and their mechanisms

Jung, Hae Kun; Rahman, S. M. Mustafizur; Kang, Chang‐Keun; Park, Se-Young; Lee, Sang‐Heon; Park, Hyun Je; Kim, Hyun Woo; Lee, Chung Il

doi:10.1016/j.dsr2.2017.06.010

Cited by 43 publications

(35 citation statements)

References 40 publications

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“…Therefore, these climate variability patterns may contribute less to ecosystem variability in the northwestern North Pacific. Aside from the patterns in the PDO, NPGO, and ENSO (SOI), studies in the northwestern North Pacific always consider the Arctic Oscillation Index (AOI), East Asian Monsoon Index (MOI), and Siberian High Index (SHI, variations in Siberian High pressure system) in order to explore more potential links between climate variability patterns and regional environment and ecosystem variability (Tian et al, 2014;Jung et al, 2017;Liu et al, 2019;Ma et al, 2019). However, the ecological importance of these climate variability patterns has not been evaluated, which may hamper predictions of climateinduced ecosystem variability in the northwestern North Pacific.…”

Section: Introductionmentioning

confidence: 99%

Climate Variability Patterns and Their Ecological Effects on Ecosystems in the Northwestern North Pacific

Tian

et al. 2020

Front. Mar. Sci.

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Climate-induced ecosystem variability is an increasing concern in recent years. Integrated researches in the northeastern North Pacific have proved the ecological importance of the Pacific Decadal Oscillation (PDO), North Pacific Gyre Oscillation (NPGO), and El Niño-Southern Oscillation (ENSO) to the ecosystem variability. While in the northwestern North Pacific, researches have been independent of each other over different regional ecosystems, and identified relatively weak linkages between these climatic indices (e.g., PDO, NPGO, and ENSO) and variations in the regional ecosystems. Such disassociated researches with unidentified important climate variability patterns may have hampered a holistic understanding of climate-induced ecosystem variability in the northwestern North Pacific. Furthermore, non-stationarity in climate-biology relationships has been proven to be important for ecosystems in the northeastern North Pacific but has not yet been studied in the northwestern North Pacific. Therefore, this research compiles biological, environmental, and climatic data in ecosystems in the northwestern North Pacific and employs a suite of analytical techniques, aiming to provide a holistic understanding of the climate-induced ecosystem variability. It shows that ecosystems in the northwestern North Pacific had a leading regime shift in the late 1980s in response to climate variability. The Siberian High, Arctic Oscillation, and East Asian Monsoon exhibit greater ecological importance to ecosystem variability than the PDO, NPGO, and ENSO. Their variations contribute greatly to sea surface temperature changes and thus variations in ecosystems. Furthermore, modified models considering non-stationary relationships achieve better performances than stationary models, suggesting the existence of non-stationarity in climate-biology relationships in the northwestern North Pacific. This non-stationarity resulted from the decline in variance of the sea level pressure in Siberian High rather than the Aleutian Low as suggested by previous studies in the northeastern North Pacific. Our research provides an improved understanding of the climate-induced ecosystem variability in the northwestern North Pacific, offering implications for further research on the entire North Pacific.

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Section: Introductionmentioning

confidence: 99%

Climate Variability Patterns and Their Ecological Effects on Ecosystems in the Northwestern North Pacific

Tian

et al. 2020

Front. Mar. Sci.

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“…The ECSs have complex terrains and unique circulation systems (Ichikawa & Beardsley 2002, Xie et al 2002, Yuan & Hsueh 2010. Simultaneously, these seas are affected by various sources of forcing, such as the East Asian monsoon (Oey et al 2013, Huang et al 2016, Kuroshio Current (Chern et al 1990, Soeyanto et al 2014, Wang & Oey 2016, El Niño Oscillation (ENSO); (Park & Oh 2000), Pacific Decadal Oscillation (PDO); (Jung et al 2017) and other factors. As a result, sea surface temperature (SST) variations over these coastal seas exhibit multiple time scales and spatial patterns (Tseng et al 2000).…”

Section: Introductionmentioning

confidence: 99%

Heat budget responses of the eastern China seas to global warming in a coupled atmosphere-ocean model

Tian¹,

Su²,

Zhou³

et al. 2019

Clim. Res.

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“…Generally, the SSN concentration has negative relationships with SST and biomass of phytoplankton [38,39]. The relatively high SSN concentrations in the northern part of the EJS are probably associated with the cold water input from the deep water [34] and hence relatively lower primary productivity of phytoplankton [6,13,46,47]. In particular, the surface nutrient concentration is higher in the western Japan Basin than the Ulleung Basin and the eastern Japan Basin, which is probably related to a deeper vertical mixing in the western Japan Basin during winter [34].…”

Section: The Spatial and Temporal Variation Of Sea Suface Nitrate (Ssmentioning

confidence: 99%

“…Particularly, a dramatic change in the vertical distribution of the chemical properties and sea surface temperature of the winter and spring was observed in the southern EJS during the last few decades [2][3][4]. According to several reports, the chlorophyll-a, primary production, phytoplankton size, and zooplankton biomass were changed by the seawater temperature and the volume transport of the Kuroshio Current in Korean waters, including the EJS [9][10][11][12][13]. Moreover, changes in the number of fish caught have been observed in the EJS [14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

“…Recently, Joo et al [13] observed a decreasing trend in the long-term annual primary production in the EJS obtained from MODIS-aqua from 2003 to 2012. Previously, they found that the decreasing annual primary production in the Ulleung Basin has a strong association with the decreasing nutrient concentrations in the euphotic water columns (0 to 50 m) from 2003 to 2012 [6].…”

Section: Introductionmentioning

confidence: 99%

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Annual New Production of Phytoplankton Estimated from MODIS-Derived Nitrate Concentration in the East/Japan Sea

et al. 2018

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Abstract:Our main objective in this study was to determine the inter-annual variation of the annual new production in the East/Japan Sea (EJS), which was estimated from MODIS-aqua satellite-derived sea surface nitrate (SSN). The new production was extracted from northern (>40 • N) and southern (>40 • N) part of EJS based on Sub Polar Front (SPF). Based on the SSN concentrations derived from satellite data, we found that the annual new production (Mean ± S.D = 85.6 ± 10.1 g C m −2 year −1 ) in the northern part of the EJS was significantly higher (t-test, p < 0.01) than that of the southern part of the EJS (Mean ± S.D = 65.6 ± 3.9 g C m −2 year −1 ). Given the relationships between the new productions and sea surface temperature (SST) in this study, the new production could be more susceptible in the northern part than the southern part of the EJS under consistent SST warming. Since the new production estimated in this study is only based on the nitrate inputs into the euphotic depths during the winter, new productions from additional nitrate sources (e.g., the nitrate upward flux through the MLD and atmospheric deposition) should be considered for estimating the annual new production.

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The influence of climate regime shifts on the marine environment and ecosystems in the East Asian Marginal Seas and their mechanisms

Cited by 43 publications

References 40 publications

Climate Variability Patterns and Their Ecological Effects on Ecosystems in the Northwestern North Pacific

Climate Variability Patterns and Their Ecological Effects on Ecosystems in the Northwestern North Pacific

Heat budget responses of the eastern China seas to global warming in a coupled atmosphere-ocean model

Annual New Production of Phytoplankton Estimated from MODIS-Derived Nitrate Concentration in the East/Japan Sea

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