Seasonal variability of zooplankton size spectra at Mombetsu Harbour in the southern Okhotsk Sea during 2011: An analysis using an optical plankton counter

Hikichi, Hikaru; Arima, Daichi; Abe, Yoshiyuki; Matsuno, Kohei; Hamaoka, Soshi; Katakura, Seiji; Kasai, Hiromi; Yamaguchi, Atsushi

doi:10.1016/j.rsma.2018.03.011

Cited by 5 publications

(10 citation statements)

References 34 publications

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“… Literature sources: Baird et al (2008), Dai et al (2016, 2017), Décima et al (2016), Frangoulis et al (2017), Gaedke (1992), García et al (1994), García‐Comas et al (2014), Garcia‐Muñoz et al (2014), Giering et al (2019), Hikichi et al (2018), Huntley et al (1995), Kamenir (2017), Ke et al (2018), Kimmel et al (2006), Lebourges‐Dhaussy et al (2014), Marcolin et al (2013), Matsumo et al (2012), Mehner et al (2018), Naito et al (2019), Napp et al (1993), Noguiera et al (2004), Quinones et al (2003), Rodriguez and Mullin (1986), San Martin et al (2006a, 2006b), Sato et al (2015), Schultes et al (2012), Sheldon et al (1972), Sourisseau and Carlotti (2006), Sprules and Barth (2016), Sprules and Goyke (1994), Sprules and Munawar (1986), Sprules et al (1983), Tarling et al (2012), Wallis et al (2016), Witek and Krajewska‐Soltys (1989), Zhou (2006), and Zhou et al (2009, 2015). …”

Section: Resultsmentioning

confidence: 99%

Increasing nutrient stress reduces the efficiency of energy transfer through planktonic size spectra

Atkinson

Lilley

Hirst

et al. 2020

Limnology & Oceanography

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Size-spectral approaches quantify the efficiency of energy transfer through food webs, but theory and field studies disagree over how changes in temperature, nutrients, and extreme weather impact on this efficiency. We address this at two scales: via 6 years of weekly sampling of the plankton size spectrum at the Plymouth L4 shelf sea site, and via a new, global-scale, meta-analysis of aquatic size spectra. The time series showed that with summertime nutrient starvation, the energy transfer efficiency from picoplankton to macroplankton decreased (i.e., steepening slopes of the size spectra). This reflected increasing dominance by small cells and their microbial consumers. The extreme storms in winter 2013/2014 caused high metazoan mortality, steep size-spectral slopes, and reduced plankton biomass. However, recovery was within months, demonstrating an inbuilt resilience of the system. Both L4 and our meta-analysis showed steep slopes of normalized size spectra (median −1.11). This reflects much lower values, either of trophic transfer efficiency (3.5%) or predator-prey mass ratio (569), compared to commonly quoted values. Results from the meta-analysis further showed that to represent energy transfer faithfully, size spectra are best constructed in units of carbon mass and not biovolume, and span a mass range of > 10 7. When this range is covered, both the meta-analysis and time series show a dome-shaped relationship between spectral slopes and plankton biomass, with steepening slopes under increasingly oligotrophic and eutrophic conditions. This suggests that ocean warming could decrease the efficiency of energy transfer through pelagic food webs via indirect effects of increasing stratification and nutrient starvation. Climate change and the efficiency of energy transfer through the plankton In a warming climate, increases in ocean temperature, stratification, nutrient shortage, and the frequency of extreme

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Section: Resultsmentioning

confidence: 99%

Increasing nutrient stress reduces the efficiency of energy transfer through planktonic size spectra

Atkinson

Lilley

Hirst

et al. 2020

Limnology & Oceanography

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“…The biovolume (mm 3 m −3 ) summed at each 0.05 mm between 0.35 and 5.0 mm ESD was used for the data of the NBSS analysis. These size categories were the same as the previous studies (Fukuda et al 2012, Shiota et al 2013, Sato et al 2015, Hikichi et al 2018, Mishima et al 2019). The X-axis of the NBSS is the biovolume of each size class transformed to the normal logarithm (X: log 10 zooplankton biovolume [mm 3 ind −1 ]), and the Y-axis is the biovolume of each size class divided by the difference in biovolume between adjacent size classes (Δbiovolume [mm 3 ]).…”

Section: Nbssmentioning

confidence: 90%

“…Several studies have compared seasonal changes in NBSS within the regions. The slope of the NBSS at Mombetsu Harbour in the southern Okhotsk Sea has been reported to be −0.85 to −1.1 during the period from January to April, while it increases to −1.31 to −1.52 during the period between May and December (Hikichi et al 2018). The slope of the NBSS at 35-44°N along the 155°E line in the western Pacific has been reported as −0.90 in May, steepening to −1.11 to −1.24 in July and August (Sato et al 2015).…”

Section: Nbssmentioning

confidence: 99%

“…However, under top-down conditions, since the large-body-sized mesozooplankton dominate, the intercept of the NBSS remains the same, but the slope becomes flattened (Moore & Suthers 2006). From field observations in the neighbouring waters of Japan, the slopes of the NBSS of the zooplankton samples collected by 335-µm mesh quantified by OPC have been reported to vary geographically (Fukuda et al 2012, Sato et al 2015 and seasonally (Hikichi et al 2018). However, because of the scarcity of information on mesozooplankton NBSS, it is difficult to infer general changing patterns of mesozooplankton NBSS along with geographical and seasonal changes.…”

Section: Introductionmentioning

confidence: 99%

“…The taxonomic information obtained was then compared with the taxa recorded in the mesozooplankton communities in the 1980s (Hirakawa 1983, Shiga 1985. We compared the NBSS data of the zooplankton samples collected by 335-µm mesh net and quantified by OPC from around Hokkaido with those from the oceanic region of the western North Pacific (Fukuda et al 2012, Shiota et al 2013, Sato et al 2015, Hikichi et al 2018, Mishima et al 2019. It should be noted that we used a zooplankton net with 100-µm mesh size and quantified samples by ZooScan in this study.…”

Section: Introductionmentioning

confidence: 99%

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Seasonal changes in taxonomic, size composition, and Normalised Biomass Size Spectra (NBSS) of mesozooplankton communities in the Funka Bay, southwestern Hokkaido: Insights from ZooScan analysis

Teraoka

Amei

Fukai

et al. 2022

Plankton Benthos Res

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Knowledge about the taxonomic and size composition of mesozooplankton is of critical importance for both fisheries and oceanography. In this study, we collected an annual time series of mesozooplankton samples in Funka Bay and analysed them using ZooScan to reveal the seasonal changes in taxonomic and size structure. Both zooplankton abundance and biovolume peaked in April and were dominated by an appendicularian Oikopleura labradoriensis which has been reported as being are being important food source for flatfish larvae. Furthermore, Noctiluca scintillans was abundant from September to December. The occurrence of this species may be related to the recent increase in the transport of Tsugaru Warm Current water into the bay. The Normalized Biomass Size Spectra (NBSS) was significant for 16 of 21 sampling dates. Insignificant NBSS, with an extremely flat slope, was observed for January-March. Significant NBSS with a flat slope was observed in April. Then, the relatively steep slopes of the NBSS were the case from mid-May to December. These seasonal changes in the slope of NBSS suggest that the energy transfer efficiency for higher trophic levels varied seasonally. The observed slopes of the NBSS in Funka Bay ranged from −1.09 to −0.30, which was flatter than the theoretical value (−1) and the previously reported values for the oceanic region of the western North Pacific. This suggests that the energy transfer efficiency to organisms at higher trophic levels in the Funka Bay is higher than in the adjacent oceanic region.

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Eight years of weekly eDNA monitoring in the North‐Western Pacific

Sildever,

Nishi,

Tazawa

et al. 2023

Environmental DNA

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Detection of marine organisms based on environmental DNA (eDNA) has expanded the knowledge of species richness, distribution, and appearance patterns. We used eDNA data from a single location sampled weekly over 8 years to detect as many species as possible, and investigate their appearance patterns and associations with biotic and abiotic factors. We detected >2500 operational taxonomic units (OTUs) associated with unique species from nine supergroups. The dominating currents that differ significantly in temperature, salinity, and nutrient concentrations structured the richness of the OTUs. We further detected sporadic and seasonal or continuous presence among the OTUs connected with a single species. This study shows that the long‐term eDNA‐based monitoring approach provides comprehensive knowledge of the species present as well as their associations with biotic and abiotic factors.

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Seasonal variability of zooplankton size spectra at Mombetsu Harbour in the southern Okhotsk Sea during 2011: An analysis using an optical plankton counter

Cited by 5 publications

References 34 publications

Increasing nutrient stress reduces the efficiency of energy transfer through planktonic size spectra

Increasing nutrient stress reduces the efficiency of energy transfer through planktonic size spectra

Seasonal changes in taxonomic, size composition, and Normalised Biomass Size Spectra (NBSS) of mesozooplankton communities in the Funka Bay, southwestern Hokkaido: Insights from ZooScan analysis

Eight years of weekly eDNA monitoring in the North‐Western Pacific

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