FABM-NflexPD 2.0: testing an instantaneous acclimation approach for modeling the implications of phytoplankton eco-physiology for the carbon and nutrient cycles
<p>The acclimative response of phytoplankton, which adjusts their nutrient and pigment content in response to changes in ambient light, nutrient levels, and temperature, is an important determinant of observed chlorophyll distributions and biogeochemistry. Acclimative models typically capture...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2023-01-01
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| Series: | Geoscientific Model Development |
| Online Access: | https://gmd.copernicus.org/articles/16/95/2023/gmd-16-95-2023.pdf |
| _version_ | 1797962154968612864 |
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| author | O. Kerimoglu M. Pahlow P. Anugerahanti P. Anugerahanti S. L. Smith |
| author_facet | O. Kerimoglu M. Pahlow P. Anugerahanti P. Anugerahanti S. L. Smith |
| author_sort | O. Kerimoglu |
| collection | DOAJ |
| description | <p>The acclimative response of phytoplankton, which adjusts their nutrient and pigment content in response to changes in ambient light, nutrient levels, and temperature, is an important determinant of observed chlorophyll distributions and biogeochemistry. Acclimative models typically capture this response and its impact on the C : nutrient : Chl ratios of phytoplankton by explicitly resolving the dynamics of these constituents of phytoplankton biomass. The instantaneous acclimation (IA) approach only requires resolving the dynamics of a single tracer and calculates the elemental composition assuming instantaneous local equilibrium. IA can capture the acclimative response without substantial loss of accuracy in both 0D box models and spatially explicit 1D models. A major drawback of IA so far has been its inability to maintain mass balance for the elements with unresolved dynamics. Here we extend the IA model to capture both C and N cycles in a 0D setup, which requires analytical derivation of additional flux terms to account for the temporal changes in cellular N quota, <span class="inline-formula"><i>Q</i></span>. We present extensive tests of this model, with regard to the conservation of total C an N and its behavior in comparison to an otherwise equivalent, fully explicit dynamic acclimation (DA) variant under idealized conditions with variable light and temperature. We also demonstrate a modular implementation of this model in the Framework for Aquatic Biogeochemical Modelling (FABM), which facilitates modeling competition between an arbitrary number of different acclimative phytoplankton types. In a 0D setup, we did not find evidence for computational advantages of the IA approach over the DA variant. In a spatially explicit setup, performance gains may be possible but would require modifying the physical-flux calculations to account for spatial differences in <span class="inline-formula"><i>Q</i></span> between model grid cells.</p> |
| first_indexed | 2024-04-11T01:08:56Z |
| format | Article |
| id | doaj.art-a93c64a8a08744349d3c5e5e307aeaa7 |
| institution | Directory Open Access Journal |
| issn | 1991-959X 1991-9603 |
| language | English |
| last_indexed | 2024-04-11T01:08:56Z |
| publishDate | 2023-01-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Geoscientific Model Development |
| spelling | doaj.art-a93c64a8a08744349d3c5e5e307aeaa72023-01-04T10:26:12ZengCopernicus PublicationsGeoscientific Model Development1991-959X1991-96032023-01-01169510810.5194/gmd-16-95-2023FABM-NflexPD 2.0: testing an instantaneous acclimation approach for modeling the implications of phytoplankton eco-physiology for the carbon and nutrient cyclesO. Kerimoglu0M. Pahlow1P. Anugerahanti2P. Anugerahanti3S. L. Smith4Institute for Chemistry and Biology of the Marine Environment, University of Oldenburg, Oldenburg, GermanyGEOMAR Helmholtz Centre for Ocean Research Kiel, Kiel, GermanyEarth SURFACE Research Center, Research Institute for Global Change, JAMSTEC, Yokosuka, Japanpresent address: Dept. of Earth, Ocean and Ecological Sciences, School of Environmental Sciences, University of Liverpool, Liverpool, UKEarth SURFACE Research Center, Research Institute for Global Change, JAMSTEC, Yokosuka, Japan<p>The acclimative response of phytoplankton, which adjusts their nutrient and pigment content in response to changes in ambient light, nutrient levels, and temperature, is an important determinant of observed chlorophyll distributions and biogeochemistry. Acclimative models typically capture this response and its impact on the C : nutrient : Chl ratios of phytoplankton by explicitly resolving the dynamics of these constituents of phytoplankton biomass. The instantaneous acclimation (IA) approach only requires resolving the dynamics of a single tracer and calculates the elemental composition assuming instantaneous local equilibrium. IA can capture the acclimative response without substantial loss of accuracy in both 0D box models and spatially explicit 1D models. A major drawback of IA so far has been its inability to maintain mass balance for the elements with unresolved dynamics. Here we extend the IA model to capture both C and N cycles in a 0D setup, which requires analytical derivation of additional flux terms to account for the temporal changes in cellular N quota, <span class="inline-formula"><i>Q</i></span>. We present extensive tests of this model, with regard to the conservation of total C an N and its behavior in comparison to an otherwise equivalent, fully explicit dynamic acclimation (DA) variant under idealized conditions with variable light and temperature. We also demonstrate a modular implementation of this model in the Framework for Aquatic Biogeochemical Modelling (FABM), which facilitates modeling competition between an arbitrary number of different acclimative phytoplankton types. In a 0D setup, we did not find evidence for computational advantages of the IA approach over the DA variant. In a spatially explicit setup, performance gains may be possible but would require modifying the physical-flux calculations to account for spatial differences in <span class="inline-formula"><i>Q</i></span> between model grid cells.</p>https://gmd.copernicus.org/articles/16/95/2023/gmd-16-95-2023.pdf |
| spellingShingle | O. Kerimoglu M. Pahlow P. Anugerahanti P. Anugerahanti S. L. Smith FABM-NflexPD 2.0: testing an instantaneous acclimation approach for modeling the implications of phytoplankton eco-physiology for the carbon and nutrient cycles Geoscientific Model Development |
| title | FABM-NflexPD 2.0: testing an instantaneous acclimation approach for modeling the implications of phytoplankton eco-physiology for the carbon and nutrient cycles |
| title_full | FABM-NflexPD 2.0: testing an instantaneous acclimation approach for modeling the implications of phytoplankton eco-physiology for the carbon and nutrient cycles |
| title_fullStr | FABM-NflexPD 2.0: testing an instantaneous acclimation approach for modeling the implications of phytoplankton eco-physiology for the carbon and nutrient cycles |
| title_full_unstemmed | FABM-NflexPD 2.0: testing an instantaneous acclimation approach for modeling the implications of phytoplankton eco-physiology for the carbon and nutrient cycles |
| title_short | FABM-NflexPD 2.0: testing an instantaneous acclimation approach for modeling the implications of phytoplankton eco-physiology for the carbon and nutrient cycles |
| title_sort | fabm nflexpd 2 0 testing an instantaneous acclimation approach for modeling the implications of phytoplankton eco physiology for the carbon and nutrient cycles |
| url | https://gmd.copernicus.org/articles/16/95/2023/gmd-16-95-2023.pdf |
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