Reconciling models of primary production and photoacclimation [Invited] Article Swipe
Shubha Sathyendranath
,
Trevor Platt
,
Žarko Kovač
,
James Dingle
,
T. J. Jackson
,
Robert J. W. Brewin
,
Peter J. S. Franks
,
Emilio Marañón
,
Gemma Kulk
,
Heather A. Bouman
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1364/ao.386252
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1364/ao.386252
Primary production and photoacclimation models are two important classes of physiological models that find applications in remote sensing of pools and fluxes of carbon associated with phytoplankton in the ocean. They are also key components of ecosystem models designed to study biogeochemical cycles in the ocean. So far, these two classes of models have evolved in parallel, somewhat independently of each other. Here we examine how they are coupled to each other through the intermediary of the photosynthesis–irradiance parameters. We extend the photoacclimation model to accommodate the spectral effects of light penetration in the ocean and the spectral sensitivity of the initial slope of the photosynthesis–irradiance curve, making the photoacclimation model fully compatible with spectrally resolved models of photosynthesis in the ocean. The photoacclimation model contains a parameter , which is the maximum chlorophyll-to-carbon ratio that phytoplankton can attain when available light tends to zero. We explore how size-class-dependent values of could be inferred from field data on chlorophyll and carbon content in phytoplankton, and show that the results are generally consistent with lower bounds estimated from satellite-based primary production calculations. This was accomplished using empirical models linking phytoplankton carbon and chlorophyll concentration, and the range of values obtained in culture measurements. We study the equivalence between different classes of primary production models at the functional level, and show that the availability of a chlorophyll-to-carbon ratio facilitates the translation between these classes. We discuss the importance of the better assignment of parameters in primary production models as an important avenue to reduce model uncertainties and to improve the usefulness of satellite-based primary production calculations in climate research.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1364/ao.386252
- OA Status
- hybrid
- Cited By
- 72
- References
- 59
- Related Works
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- OpenAlex ID
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All OpenAlex metadata
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https://openalex.org/W3007467690Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1364/ao.386252Digital Object Identifier
- Title
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Reconciling models of primary production and photoacclimation [Invited]Work title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2020Year of publication
- Publication date
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2020-02-26Full publication date if available
- Authors
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Shubha Sathyendranath, Trevor Platt, Žarko Kovač, James Dingle, T. J. Jackson, Robert J. W. Brewin, Peter J. S. Franks, Emilio Marañón, Gemma Kulk, Heather A. BoumanList of authors in order
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https://doi.org/10.1364/ao.386252Publisher landing page
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://doi.org/10.1364/ao.386252Direct OA link when available
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Optics, Remote sensing, Production (economics), Primary productivity, Primary (astronomy), Environmental science, Meteorology, Physics, Geology, Astronomy, Ecology, Ecosystem, Biology, Macroeconomics, EconomicsTop concepts (fields/topics) attached by OpenAlex
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72Total citation count in OpenAlex
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2025: 5, 2024: 5, 2023: 19, 2022: 21, 2021: 20Per-year citation counts (last 5 years)
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59Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.extend | 80 |
| abstract_inverted_index.fluxes | 21 |
| abstract_inverted_index.level, | 238 |
| abstract_inverted_index.making | 107 |
| abstract_inverted_index.models | 4, 11, 37, 52, 116, 208, 234, 267 |
| abstract_inverted_index.ocean. | 29, 45, 121 |
| abstract_inverted_index.other. | 61 |
| abstract_inverted_index.reduce | 273 |
| abstract_inverted_index.remote | 16 |
| abstract_inverted_index.values | 160, 219 |
| abstract_inverted_index.Primary | 0 |
| abstract_inverted_index.between | 228, 251 |
| abstract_inverted_index.classes | 8, 50, 230 |
| abstract_inverted_index.climate | 287 |
| abstract_inverted_index.content | 183 |
| abstract_inverted_index.coupled | 68 |
| abstract_inverted_index.culture | 222 |
| abstract_inverted_index.discuss | 255 |
| abstract_inverted_index.effects | 88 |
| abstract_inverted_index.evolved | 54 |
| abstract_inverted_index.examine | 64 |
| abstract_inverted_index.explore | 157 |
| abstract_inverted_index.improve | 278 |
| abstract_inverted_index.initial | 101 |
| abstract_inverted_index.linking | 209 |
| abstract_inverted_index.maximum | 143 |
| abstract_inverted_index.primary | 200, 232, 265, 283 |
| abstract_inverted_index.results | 190 |
| abstract_inverted_index.sensing | 17 |
| abstract_inverted_index.through | 72 |
| abstract_inverted_index.classes. | 253 |
| abstract_inverted_index.contains | 125 |
| abstract_inverted_index.designed | 38 |
| abstract_inverted_index.inferred | 175 |
| abstract_inverted_index.obtained | 220 |
| abstract_inverted_index.resolved | 115 |
| abstract_inverted_index.somewhat | 57 |
| abstract_inverted_index.spectral | 87, 97 |
| abstract_inverted_index.<mml:math | 128, 162 |
| abstract_inverted_index.<mml:mrow | 131, 165 |
| abstract_inverted_index.available | 151 |
| abstract_inverted_index.different | 229 |
| abstract_inverted_index.ecosystem | 36 |
| abstract_inverted_index.empirical | 207 |
| abstract_inverted_index.estimated | 197 |
| abstract_inverted_index.generally | 192 |
| abstract_inverted_index.important | 7, 270 |
| abstract_inverted_index.parallel, | 56 |
| abstract_inverted_index.parameter | 127 |
| abstract_inverted_index.research. | 288 |
| abstract_inverted_index.<mml:msub> | 133, 167 |
| abstract_inverted_index.assignment | 261 |
| abstract_inverted_index.associated | 24 |
| abstract_inverted_index.compatible | 112 |
| abstract_inverted_index.components | 34 |
| abstract_inverted_index.consistent | 193 |
| abstract_inverted_index.functional | 237 |
| abstract_inverted_index.importance | 257 |
| abstract_inverted_index.parameters | 263 |
| abstract_inverted_index.production | 1, 201, 233, 266, 284 |
| abstract_inverted_index.spectrally | 114 |
| abstract_inverted_index.usefulness | 280 |
| abstract_inverted_index.</mml:math> | 138, 172 |
| abstract_inverted_index.</mml:mrow> | 137, 171 |
| abstract_inverted_index.</mml:msub> | 136, 170 |
| abstract_inverted_index.accommodate | 85 |
| abstract_inverted_index.chlorophyll | 180, 213 |
| abstract_inverted_index.equivalence | 227 |
| abstract_inverted_index.facilitates | 248 |
| abstract_inverted_index.parameters. | 78 |
| abstract_inverted_index.penetration | 91 |
| abstract_inverted_index.sensitivity | 98 |
| abstract_inverted_index.translation | 250 |
| abstract_inverted_index.accomplished | 205 |
| abstract_inverted_index.applications | 14 |
| abstract_inverted_index.availability | 243 |
| abstract_inverted_index.calculations | 285 |
| abstract_inverted_index.intermediary | 74 |
| abstract_inverted_index.calculations. | 202 |
| abstract_inverted_index.independently | 58 |
| abstract_inverted_index.measurements. | 223 |
| abstract_inverted_index.physiological | 10 |
| abstract_inverted_index.phytoplankton | 26, 147, 210 |
| abstract_inverted_index.uncertainties | 275 |
| abstract_inverted_index.biogeochemical | 41 |
| abstract_inverted_index.concentration, | 214 |
| abstract_inverted_index.photosynthesis | 118 |
| abstract_inverted_index.phytoplankton, | 185 |
| abstract_inverted_index.satellite-based | 199, 282 |
| abstract_inverted_index.photoacclimation | 3, 82, 109, 123 |
| abstract_inverted_index.display="inline"> | 130, 164 |
| abstract_inverted_index.<mml:mi>m</mml:mi> | 135, 169 |
| abstract_inverted_index.<mml:mi>θ</mml:mi> | 134, 168 |
| abstract_inverted_index.size-class-dependent | 159 |
| abstract_inverted_index.chlorophyll-to-carbon | 144, 246 |
| abstract_inverted_index.class="MJX-TeXAtom-ORD"> | 132, 166 |
| abstract_inverted_index.photosynthesis–irradiance | 77, 105 |
| abstract_inverted_index.xmlns:mml="http://www.w3.org/1998/Math/MathML" | 129, 163 |
| cited_by_percentile_year.max | 100 |
| cited_by_percentile_year.min | 94 |
| countries_distinct_count | 4 |
| institutions_distinct_count | 10 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/14 |
| sustainable_development_goals[0].score | 0.8799999952316284 |
| sustainable_development_goals[0].display_name | Life below water |
| citation_normalized_percentile.value | 0.98894815 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |