Global warming and oligotrophication lead to increased lipid production in marine phytoplankton

Novak, Tihana; Godrijan, Jelena; Pfannkuchen, Daniela Marić; Djakovac, Tamara; Medić, Nikola; Ivančić, Ingrid; Mlakar, Marina; Gašparović, Blaženka

doi:10.1016/j.scitotenv.2019.02.372

Cited by 25 publications

(23 citation statements)

References 66 publications

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“…While the positive response of phytopigments in the shorter term could be due to an increased microphytobenthos production stimulated by increased temperature range [57] and rising C incorporation rates [58], the prolonged exposition to the MHWs at week 11 could have caused a severe cellular stress. This hypothesis is corroborated by the observed positive effects of both MHWs on sedimentary lipid contents, which could have been caused by the increase in the lipid production of benthic microalgae in response to rising temperature and oligo-trophication [59]. Our hypothesis is also corroborated by previous studies showing that the effect of heatwaves on marine phytoplankton (and, thus, conceivably, on microphytobenthos) depends on the intensity of the heatwave [60], and that more intense heatwaves usually result in increased mortality [28].…”

Section: Mhws Effects On Sedimentary Organic Matter Quantity Biochemi...supporting

confidence: 54%

Effects of Field Simulated Marine Heatwaves on Sedimentary Organic Matter Quantity, Biochemical Composition, and Degradation Rates

Soru

Stipcich

Ceccherelli

et al. 2022

Biology

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Since rising temperature (T) will enhance biochemical reactions and coastal marine sediments are hotspots of carbon cycling, marine heatwaves’ (MHWs’) intensification caused by climate change will affect coastal biogeochemistry. We investigated the effects of MHWs on sediment organic matter (OM) in a nearshore locality (NW Sardinia, Mediterranean Sea) receiving an artificial warm water plume generating T anomalies of 1.5–5.0 °C. Sediments were collected before and after 3 and 11 weeks from the initial plume release. Both MHWs influenced sedimentary OM quantity, composition, and degradation rates, with major effects associated with the highest T anomaly after 3 weeks. Both MHWs enhanced sedimentary OM contents, with larger effects associated with the highest T anomaly. Phytopigment contents increased in the short term but dropped to initial levels after 11 weeks, suggesting the occurrence of thermal adaptation or stress of microphytobenthos. In the longer term we observed a decrease in the nutritional quality of OM and a slowdown of its turnover mediated by extracellular enzymes, suggestive of a decreased ecosystem functioning. We anticipate that intensification of MHWs will affect benthic communities not only through direct effects on species tolerance but also by altering benthic biogeochemistry and the efficiency of energy transfer towards higher trophic levels.

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Section: Mhws Effects On Sedimentary Organic Matter Quantity Biochemi...supporting

confidence: 54%

Effects of Field Simulated Marine Heatwaves on Sedimentary Organic Matter Quantity, Biochemical Composition, and Degradation Rates

Soru

Stipcich

Ceccherelli

et al. 2022

Biology

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“…Phytoplankton are a key functional component of aquatic ecosystems and play a pivotal role in biogeochemical cycles [1]. In particular, marine phytoplankton, as the principal driving force of ocean carbon cycles and energy flows, fix approximately 50 gigatons of inorganic carbon annually, almost half of the total global primary production [2,3]. They show higher CO 2 fixation rates and higher biomass productivity than any other photosynthetic organisms [3].…”

Section: Introductionmentioning

confidence: 99%

“…On the other hand, phytoplankton cells are rich in proteins, polysaccharides, lipids, vitamins, and polyunsaturated fatty acids, which have stirred up great attention as a promising potential feedstock for biofuel, nutraceuticals, animal and aquaculture feed production [10,14]. Many species have been used for commercial development, such as Dunaliella salina, Isochrysis galbana, Spirulina (or Arthrospira), Haematococcus pluvialis, and Scenedesmus obliquus [2,6,10]. Almost all fishes, bivalve molluscs, and crustaceans primarily graze on phytoplankton to build immunity against diseases during their early larval stages [12].…”

Section: Introductionmentioning

confidence: 99%

Quantifying photosynthetic performance of phytoplankton based on photosynthesis–irradiance response models

et al. 2020

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Background: Clarifying the relationship between photosynthesis and irradiance and accurately quantifying photosynthetic performance are of importance to calculate the productivity of phytoplankton, whether in aquatic ecosystems modelling or obtaining more economical production. Results:The photosynthetic performance of seven phytoplankton species was characterized by four typical photosynthesis-irradiance (P-I) response models. However, the differences were found between the returned values to photosynthetic characteristics by different P-I models. The saturation irradiance (I sat ) was distinctly underestimated by model 1, and the maximum net photosynthetic rate (P nmax ) was quite distinct from its measured values, due to the asymptotic function of the model. Models 2 and 3 lost some foundation to photosynthetic mechanisms, that the returned I sat showed significant differences with the measured data. Model 4 for higher plants could reproduce the irradiance response trends of photosynthesis well for all phytoplankton species and obtained close values to the measured data, but the fitting curves exhibited some slight deviations under the low intensity of irradiance. Different phytoplankton species showed differences in photosynthetic productivity and characteristics. Platymonas subcordiformis showed larger intrinsic quantum yield (α) and lower I sat and light compensation point (I c ) than Dunaliella salina or Isochrysis galbana. Microcystis sp., especially M. aeruginosa with the largest P nmax and α among freshwater phytoplankton strains, exhibited more efficient light use efficiency than two species of green algae. Conclusions:The present work will be useful both to describe the behavior of different phytoplankton in a quantitative way as well as to evaluate the flexibility and reusability of P-I models. Meanwhile we believe this research could provide important insight into the structure changes of phytoplankton communities in the aquatic ecosystems. Publisher's NoteSpringer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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“…But the analytic solution of the light compensation point (Ic, μmol photons m -2 s -1 ) can not be obtained by equation (1). In order to obtain Ic, Kok effect [40] must be ignored here, and Ic can be calculated as [19]:…”

Section: Modelmentioning

confidence: 99%

“…Phytoplankton are a key functional component of aquatic ecosystems, play a pivotal role in biogeochemical cycles [1]. In particular, marine phytoplankton, as the principal driving force of ocean carbon cycles and energy flows, fix approximately 50 gigatons of inorganic carbon annually, almost half of the total global primary production [2,3].…”

Section: Introductionmentioning

confidence: 99%

Quantizing photosynthetic performance of phytoplankton using photosynthesis-irradiance response models

Yang

Liu

Yin

et al. 2019

Preprint

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Background: Clarifying the relationship between photosynthesis and irradiance and accurately quantizing photosynthetic performance are of importance to calculate the productivity of phytoplankton, whether in aquatic ecosystems modelling or obtaining more economical production.Results: The photosynthetic performance of seven phytoplankton species was characterized by four typical photosynthesis-irradiance (P-I) response models. However, the differences were found between the returned values to photosynthetic characteristics by different P-I models. The saturation irradiance (Isat) was distinctly underestimated by model 1, and the maximum net photosynthetic rate (Pnmax) was quite distinct from its measured values, due to the asymptotic function of the model. Models 2 and 3 lost some foundation to photosynthetic mechanisms, that the returned Isat showed significant differences with the measured data. Model 4 for higher plants could reproduce the irradiance response trends of photosynthesis well for all phytoplankton species and obtained close values to the measured data, but the fitting curves exhibited some slight deviations under the low intensity of irradiance. Different phytoplankton species showed differences in photosynthetic productivity and characteristics. P. subcordiformis showed larger intrinsic quantum yield (α) and lower Isat and light compensation point (Ic) than D. salina or I. galbana. Microcystis sp., especially M. aeruginosa with the largest Pnmax and α among freshwater phytoplankton strains, exhibited more efficient light use efficiency than two species of green algae.Conclusions: The present work will be useful both to describe the behavior of different phytoplankton in a quantitative way as well as to evaluate the flexibility and reusability of P-I models. Meanwhile we believe this research could provide important insight into the structure changes of phytoplankton communities in the aquatic ecosystems.

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Global warming and oligotrophication lead to increased lipid production in marine phytoplankton

Cited by 25 publications

References 66 publications

Effects of Field Simulated Marine Heatwaves on Sedimentary Organic Matter Quantity, Biochemical Composition, and Degradation Rates

Effects of Field Simulated Marine Heatwaves on Sedimentary Organic Matter Quantity, Biochemical Composition, and Degradation Rates

Quantifying photosynthetic performance of phytoplankton based on photosynthesis–irradiance response models

Quantizing photosynthetic performance of phytoplankton using photosynthesis-irradiance response models

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