A new method of describing phytoplankton blooms: Examples from Helgoland Roads

Mieruch, S.; Freund, Jan A.; Feudel, Ulrike; Boersma, Maarten; Janisch, S.; Wiltshire, Karen Helen

doi:10.1016/j.jmarsys.2009.06.004

Cited by 18 publications

(14 citation statements)

References 25 publications

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“…For each bloom event, we detected its respective onset as the instant of maximal acceleration of growth (for details cf. Mieruch et al 2010a). Whenever the BTA revealed an interesting temporal signature, we assessed its statistical significance via a Monte Carlo resampling procedure (method details in Brüse et al 2011).…”

Section: Bloom-triggered Averagingmentioning

confidence: 99%

Changes in the phytoplankton community at Helgoland, North Sea: lessons from single spot time series analyses

et al. 2012

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In recent regime shift analyses, the phytoplankton compartment of the marine food web was essentially represented by phytoplankton color or chlorophyll concentration. A detection of changes directly at the species level is highly desirable. The Helgoland Roads data series, a collection of high frequency long-term time series comprising biological and physico-chemical components of the southern North Sea, allow such an investigation at the level of single species. Aiming at a detection and characterization of habitat and community changes in the observation period (1962 until the end of 2008), we selected six species as representatives of certain classes, for example, benthic or neritic species, and applied a combination of novel analysis methods-a fitness-based analysis of the realized niche, a bloom-triggered averaging and a Markovian analysis of co-occurrence and succession patterns-to related abundance time series and concurrent environmental parameter time series. We found a general trend toward enlargement of niche size and shifts of the niche position, interesting salinity patterns around bloom events of two species, and statistically highly significant changes of a phytoplankton community segment after 1965 and after 1998. Interpreting our observations in ecological terms leads to the formulation of testable hypotheses.

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Section: Bloom-triggered Averagingmentioning

confidence: 99%

Changes in the phytoplankton community at Helgoland, North Sea: lessons from single spot time series analyses

et al. 2012

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“…Algal growth patterns are usually characterized by lag, exponential growth, stable and declining phases (Mieruch, Freund, Feudel, Boersma, Janisch & Wiltshire 2010). For the medium with inorganic nutrients, the lag phases always lasted between 2 and 4 days (Jin & Zheng 2006;Xu et al 2006).…”

Section: Microcystis Aeruginosa Growth With Different Nutrient Sourcesmentioning

confidence: 99%

Release of nutrient from fish food and effects on Microcystis aeruginosa growth

Huang

Zang

et al. 2011

Aquac. Res.

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This study aimed to explore the relationship between Microcystis aeruginosa growth and nutrients released from fish food, which mainly simulates the effect of uneaten food on algae growth and water quality variables during aquaculture activities. Fish food (0, 0.1, 0.2, 0.5 and 1 g dosages tested) of different grain sizes (original; 0.147 ≤ d ≤ 0.85 mm; d ≤ 0.147 mm) was added each into M‐II culturing medium (nitrogen and phosphorus absent). During the experimental running period, the concentrations of total phosphorus (TP), orthophosphate phosphorus (PO43−‐P), total nitrogen and ammonia‐nitrogen (NH4+‐N) increased significantly with increasing fish food dosages regardless of their grain sizes. Furthermore, grain size had a negligible effect on nutrient release from fish food with the same dosage. Based on the above experiment, M. aeruginosa was introduced into the culturing media at different dosages (nitrogen and phosphorus absent) with 0, 0.05, 0.1, 0.2 and 0.5 g fish food to assess algae growth characteristics. Algae cell density significantly increased with the dosage ranging from 0 to 0.2 g. NH4+‐N and PO43−‐P were the main fractions of available nutrients used by M. aeruginosa in the fish food. In comparison to the growth dynamics of algae in M‐II culturing medium, the lag phase for M. aeruginosa in the presence of fish food extended significantly when calculating the time from the addition of fish food and insignificantly when the time for nutrient release from fish food was excluded.

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“…This observation indicates that, on a long time scale, there is a positive correlation between the nutrient concentration of the water (here measured as dissolved PO 4 ) and the density of heterotrophic dinoflagellates. Fast growth is a universal trait in heterotrophic dinoflagellates (Landry and Calbet ; Sherr and Sherr ), also in those found in the North Sea (Mieruch et al ), which, according to the Growth Rate Hypothesis, suggests that these organisms should have high P requirements. This hypothesis stipulates that fast‐growing organisms have high P‐requirements to synthesize P‐rich ribosomal RNA (Sterner ; Elser et al ; Sterner and Elser ).…”

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confidence: 95%

The craving for phosphorus in heterotrophic dinoflagellates and its potential implications for biogeochemical cycles

Meunier

Álvarez-Fernández

Cunha-Dupont

et al. 2018

Limnology & Oceanography

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By altering the nutritional quality of primary producers, nutrient availability indirectly influences herbivores' population dynamics. In turn, the resulting relationship between diet, growth, and wastes has consequences for nutrient cycling at the ecosystem level. We studied the link between dinoflagellates nutritional requirements and feeding behavior, and its influence on nutrient cycling. We show that long‐term shifts in dissolved PO4 concentration in the North Sea are closely linked to biomass trends of heterotrophic dinoflagellates and support this observation with experimental data indicating particularly high phosphorus requirements in dinoflagellates. At the seasonal scale, we observe a negative correlation between natural dinoflagellate abundances and the concentration of dissolved P, and we estimate that, in spring, up to 30% of dissolved P can end up in microzooplankton biomass. Our study highlights that accounting for organismal metabolic requirement provides significant insight in interpreting and predicting nutrient cycles at the ecosystem level.

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A new method of describing phytoplankton blooms: Examples from Helgoland Roads

Cited by 18 publications

References 25 publications

Changes in the phytoplankton community at Helgoland, North Sea: lessons from single spot time series analyses

Changes in the phytoplankton community at Helgoland, North Sea: lessons from single spot time series analyses

Release of nutrient from fish food and effects on Microcystis aeruginosa growth

The craving for phosphorus in heterotrophic dinoflagellates and its potential implications for biogeochemical cycles

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