2018
DOI: 10.5194/bg-15-2055-2018
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Variability in copepod trophic levels and feeding selectivity based on stable isotope analysis in Gwangyang Bay of the southern coast of the Korean Peninsula

Abstract: Abstract. Trophic preference (i.e., food resources and trophic levels) of different copepod groups was assessed along a salinity gradient in the temperate estuarine Gwangyang Bay of Korea, based on seasonal investigation of taxonomic results in 2015 and stable isotope analysis incorporating multiple linear regression models. The δ13C and δ15N values of copepods in the bay displayed significant spatial heterogeneity as well as seasonal variations, which were indicated by their significant relationships with sal… Show more

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Cited by 32 publications
(22 citation statements)
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“…As indicated by GAMs analysis, seasonal and spatial variation of δ 13 N POM is likely to be caused by changes in the major phytoplankton groups (Chen et al, 2018). Indeed, individual phytoplankton species were related to levels of SPM, POM, total Chla, and phytoplankton productivity, confirming that a shift in phytoplankton community composition may partially or fully explain spatiotemporal variation in POM composition ( Supplementary Figure 1 and Supplementary Table 7).…”
Section: Possible Effect Of Size Groups Of Phytoplanktonmentioning
confidence: 59%
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“…As indicated by GAMs analysis, seasonal and spatial variation of δ 13 N POM is likely to be caused by changes in the major phytoplankton groups (Chen et al, 2018). Indeed, individual phytoplankton species were related to levels of SPM, POM, total Chla, and phytoplankton productivity, confirming that a shift in phytoplankton community composition may partially or fully explain spatiotemporal variation in POM composition ( Supplementary Figure 1 and Supplementary Table 7).…”
Section: Possible Effect Of Size Groups Of Phytoplanktonmentioning
confidence: 59%
“…Zooplankton grazing pressure (Chen et al, 2018; the authors' unpublished data for grazing rate), the availability of nutrients, and other environmental conditions (Baek et al, 2015) can affect phytoplankton biomass. The size composition (i.e., micro-, nano-, and picophytoplankton) of phytoplankton assemblages may alter their relative contributions to POM quantity and composition.…”
Section: Possible Effect Of Size Groups Of Phytoplanktonmentioning
confidence: 99%
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“…To assess the status of D. gahi within the pelagic food web, we estimated the trophic position for different consumers (e.g., squids, invertebrates, and fish) using the "oneBaseline" model, incorporating uncertainty in the trophic discrimination factor (TDF) for muscle nitrogen (mean ± SD 15 N = 3.4 ± 0.1 ) (Post, 2002), as well as baseline and consumer δ 15 N values through Bayesian inference with tRophicPosition package (Quezada-Romegialli et al, 2018). Assuming that pelagic species of squids, invertebrates, and fish, could be supported mainly by pelagic carbon and nitrogen (Thiel et al, 2007), copepods were used as baseline with a mean trophic position of 2.2 (see Chen et al, 2018). Models were run with 2 chains, 20,000 adapting samplings, and 20,000 iterations.…”
Section: Estimating Trophic Positionmentioning
confidence: 99%
“…The δ 15 N values were 15 N-depleted in E. mucronata (12.2 ± 1.3 ) and brachyuran zoeae (12.5 ), and 15 N-enriched in P. gallapagensis Trophic position (TP) was estimated from D. gahi (mantle tissue) and pelagic consumers. The symbol ( * ) means that baseline consumer and putative trophic position was according to Chen et al (2018).…”
Section: Trophic Position Of D Gahi Within the Pelagic Communitymentioning
confidence: 99%