Mapping the Intertidal Microphytobenthos Gross Primary Production, Part II: Merging Remote Sensing and Physical-Biological Coupled Modeling

Savelli, Raphaël; Méléder, Vona; Cugier, Philippe; Polsenaere, Pierre; Dupuy, Corinne; Lavaud, Johann; Barnett, Alexandre; Fouest, Vincent Le

doi:10.3389/fmars.2020.00521

Cited by 9 publications

(6 citation statements)

References 55 publications

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Mentioning

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“…With E  set to 2.5 h, PP increased by 8% on the upper and middle shores and by 4% on the lower shore (Figure 6). m yr E   in average; Savelli et al, 2018Savelli et al, , 2019Savelli et al, , 2020. They are also within the range of PP estimates reported for other European mudflats (43.4-300 g C ).…”

Section: Spatial Variability Of Mpb Photoinhibitionsupporting

confidence: 86%

“…Annual rates of MPB PP simulated in both the

N o P h o t o

and

P h o t o

runs (108.8

\pm

79 and 84.2

\pm

57.7 g C

m^{- 2} {normaly normalr}^{- 1}

, respectively) compare to previous reported estimates simulated at the same study site in 2008, 2012, and 2015 (137.5

\pm

11 g C

m^{- 2} {normaly normalr}^{- 1}

in average; Savelli et al., 2018, 2019, 2020). They are also within the range of PP estimates reported for other European mudflats (43.4–300 g C

m^{- 2} {normaly normalr}^{- 1}

; Frankenbach et al., 2020, and references therein).…”

Section: Discussionsupporting

confidence: 65%

“…Consequently, the agreement between the photoinhibition amplitude depicted by the model and literature suggests that the model can resolve with confidence the MPB photoinhibition in the absence of behavioral photoprotection. In addition, considering photoinhibition in the model contributes to reduce the gap between the seasonally parametrized MARS‐3D model and synoptic measurements (Savelli et al., 2020). Aside from other drivers of MPB photosynthesis, such a convergence supports the hypothesis that MPB photoinhibition may occurred at the synoptic scale.…”

Section: Discussionmentioning

confidence: 99%

“…The differential equation of heat energy balance between air and the sediment was solved by the MARS-3D numerical scheme. The comparison of the MST and PAR simulated by MARS-3D with space and time coincident in situ measurements (Méléder et al, 2020;Savelli et al, 2020) suggests that the MARS-3D modeling system can represent with confidence the physical environment at the study site.…”

Section: The Mud Surface Temperature Modelmentioning

confidence: 90%

“…The initial conditions of the biological scalars

F

S

, and

Z

were set to 100 mg Chl a

m^{- 2}

, 0 mg Chl a

m^{- 2}

and 1,000 mg C

m^{- 2}

, respectively. The MARS‐3D modeling system was spun‐up from September 12, 2014 00:00:00 UTC to January 1, 2015 00:00:00 UTC in order to converge toward balanced and realistic values of biomass on January 1 (Savelli et al., 2018, 2020). It was run from January 1, 2015 00:00:00 UTC to January 1, 2016 00:00:00 UTC.…”

Section: Methodsmentioning

confidence: 99%

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Potential Impact of Photoinhibition on Microphytobenthic Primary Production on a Large Intertidal Mudflat

et al. 2021

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Benthic microalgae, or microphytobenthos (MPB), play a key role in the land-ocean continuum. MPB primary production (PP) sustains the high biological productivity of estuarine and shallow coastal areas, including intertidal mudflats (Hope et al., 2019;Pinckney, 2018). MPB PP largely supports benthic and pelagic secondary production in shallow water systems of the land-ocean continuum (Daehnick et al., 1992;

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Section: Spatial Variability Of Mpb Photoinhibitionsupporting

confidence: 86%

“…Annual rates of MPB PP simulated in both the

N o P h o t o

and

P h o t o

runs (108.8

\pm

79 and 84.2

\pm

57.7 g C

m^{- 2} {normaly normalr}^{- 1}

, respectively) compare to previous reported estimates simulated at the same study site in 2008, 2012, and 2015 (137.5

\pm

11 g C

m^{- 2} {normaly normalr}^{- 1}

in average; Savelli et al., 2018, 2019, 2020). They are also within the range of PP estimates reported for other European mudflats (43.4–300 g C

m^{- 2} {normaly normalr}^{- 1}

; Frankenbach et al., 2020, and references therein).…”

Section: Discussionsupporting

confidence: 65%

Section: Discussionmentioning

confidence: 99%

Section: The Mud Surface Temperature Modelmentioning

confidence: 90%

“…The initial conditions of the biological scalars

F

S

, and

Z

were set to 100 mg Chl a

m^{- 2}

, 0 mg Chl a

m^{- 2}

and 1,000 mg C

m^{- 2}

Section: Methodsmentioning

confidence: 99%

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Potential Impact of Photoinhibition on Microphytobenthic Primary Production on a Large Intertidal Mudflat

et al. 2021

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The Microbiome of Coastal Sediments

Underwood

Dumbrell

McGenity

et al. 2022

The Microbiomes of Humans, Animals, Plants, and the Environment

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Coastal zones are amongst the most productive marine environments and many are highly impacted by anthropogenic activity. Coastal zones are key regions for the transformation of land-based inputs of nutrients and pollutants and provide many essential ecosystem services for human society. Periods of tidal exposure and submergence, coupled with seasonal variation in land-based inputs, result in intertidal habitats characterized by highly variable environmental conditions that pose crucial adaptive challenges for organisms. This review focusses on the microbiome of coastal sediments consisting of protists (especially diatoms), bacteria, archaea and fungi. The diversity, distribution, production, adaptations, and interactions between these groups are reviewed. Coastal microbiomes are characterized by high rates of biogeochemical activity. Photoautotrophic diatoms exhibit complex patterns of behavior to cope with a highly variable light climate. Multiple species-species interactions between autotrophs and heterotrophs contribute to the cycling of carbon and nitrogen. In sediments, autotrophic and heterotrophic processes are closely coupled both spatially and temporally. Bacteria and archaea control the nitrogen-and carbon cycles while taxonomic diversity is influenced by gradients of organic matter, nitrogen compounds, sulfide, and oxygen. Fungi are important components of coastal salt marsh sediment microbiomes but their role in unvegetated sediments is less well understood. This review considers the high human impact on coastal sediments and the importance of nutrient gradients and pollution pressures (hydrocarbons) in affecting diversity and species distribution.

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Ephemeral analysis on microphytobenthos in an estuarine system along the southwest coast of India

Amal,

Benny,

Ajayakumar

et al. 2024

Aquat Ecol

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Mapping the Intertidal Microphytobenthos Gross Primary Production, Part II: Merging Remote Sensing and Physical-Biological Coupled Modeling

Cited by 9 publications

References 55 publications

Potential Impact of Photoinhibition on Microphytobenthic Primary Production on a Large Intertidal Mudflat

Potential Impact of Photoinhibition on Microphytobenthic Primary Production on a Large Intertidal Mudflat

The Microbiome of Coastal Sediments

Ephemeral analysis on microphytobenthos in an estuarine system along the southwest coast of India

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