Cited by 514Marine and coastal ecosystemsClimate variability and modelsOceanographic and Atmospheric Processes

Potential impact of climate change on marine export production

Open access
Bopp, Laurent, Monfray, Patrick, Aumont, Olivier, Dufresne, Jean‐Louis, Le Treut, Hervé, Madec, Gurvan, Terray, Laurent, Orr, James C.·2001·Global Biogeochemical Cycles

Abstract

Future climate change will affect marine productivity, as well as other many components of Earth system. We have investigated the response of marine productivity to global warming with two different ocean biogeochemical schemes and two different atmosphere‐ocean coupled general circulation models (GCM). Both coupled GCMs were used without flux correction to simulate climate response to increased greenhouse gases (+1% CO 2/yr for 80 years). At 2×CO 2, increased stratification leads to both reduced nutrient supply and increased light efficiency. Both effects drive a reduction in marine export production (−6%), although regionally changes can be both negative and positive (from −15% zonal average in the tropics to +10% in the Southern Ocean). Both coupled models and both biogeochemical schemes simulate a poleward shift of marine production due mainly to a longer growing season at high latitudes. At low latitudes, the effect of reduced upwelling prevails. The resulting reduction in marine productivity, and other marine resources, could become detectable in the near future, if appropriate long‐term observing systems are implemented.

AI snapshot

Written from the paper’s full text.

TL;DR

Using two coupled atmosphere-ocean GCMs and two biogeochemical schemes, Bopp et al. simulate a +1% CO2/yr increase to 2xCO2 and find a ~6% global decline in marine export production, with low-latitude decreases and high-latitude increases. The response is driven by increased stratification reducing nutrient supply and lengthening the growing season, but regional results depend strongly on ocean dynamics and biogeochemical complexity.

Key findings

  • At 2xCO2 (years 65–75), all three simulations predict a global export-production decrease of about 6%: LG 13.1→12.3 GtC yr−1 (−6.6%), AG 9.5→8.9 GtC yr−1 (−5.9%), and LB 11.1→10.3 GtC yr−1 (−6.6%). Low latitudes decline (−10.1%, −10.9%, −11.0%) while high latitudes increase (+5.1%, +5.5%, +12.5%); the text reports tropical zonal decreases reaching −15 to −20% and subpolar increases greater than 10%.
  • Mechanisms: increased upper-ocean stratification reduces nutrient supply (surface PO4 decreases; upwelling reduced nearly −10%) and increases light efficiency via a longer growing season, which lengthens by up to 50 days at 2xCO2. This produces a poleward shift of marine production.
  • LB diagnostics show declines in total primary production (−8.9%), surface phytoplankton cell content (−6.3%), and surface chlorophyll (−8.5%). In the LG run extended to 4xCO2, export production is reduced by more than 15%; around 3xCO2 (year 110) it is reduced by 11%.
  • Detectability: in the equatorial Pacific, Δ/σ reaches 1 after 30 years and 2 after 60 years; the detectability index reaches 2 after 30 years, or 45 years if interannual variability is doubled. The authors suggest detection may be possible when atmospheric pCO2 reaches 450 ppm.

Methods

  • Offline biogeochemical simulations were forced by archived ocean advection and vertical diffusion from two coupled GCMs (LMD5/OPAICE and ARPEGE/OPAICE), both using the OPAICE ocean model. Control pCO2 was 350 ppm; the scenario increased CO2 at 1% yr−1 for 80 years to 2xCO2 (700 ppm), without flux correction.
  • Two biogeochemical schemes were used: G (HAMOCC3, phosphate-based, no explicit biology) coupled to L and A, and B (P3ZD NPZD, explicit plankton) coupled to L, giving three pairs: LG, AG, and LB. Simulations were initialized from the final steady state of Aumont et al. [1999].
  • Control runs were evaluated against observations (PO4, SeaWiFS chlorophyll, export production). Global warming response was analyzed as scenario minus control at 2xCO2 (years 65–75), with zonal means, sensitivity tests, and a detectability index.

Limitations

  • Stated: two major uncertainties are ocean dynamics and biogeochemical scheme. AG and LG differ notably in the Southern Ocean and North Pacific; the Southern Ocean is particularly sensitive. Better hydrological cycle representation, subgrid-scale eddy mixing, downslope transport, and higher resolution are needed.
  • Stated: phosphate-based schemes lack limitation by Fe, N, and Si and do not account for plankton species competition or external atmospheric iron deposition. B includes zooplankton grazing but omits other nutrients. Control biases include SST errors, inadequate Antarctic sea ice, mixed-layer depth biases, and overestimated chlorophyll in equatorial Pacific/HNLC regions.
  • Evident from the text: regional conclusions are model-dependent; for example, LB shows no change in the North Pacific while LG and AG predict a 10–20% decrease, and Southern Ocean patterns differ among models. The paper itself notes that the link between the present ocean state and future changes is not clear.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1029/1999gb001256

Cites

41 of 41 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Claims the paper makes

0 of 14 cited sources checked · 0 supported · 0 flagged

  • Findingreasoning
    § Potential impact of climate change on marine export production · p. 3

    At 2xCO2, marine export production decreases globally by about 6%.

    “Both effects drive a reduction in marine export production (-6%)”
    • Also stated in: § 3.3. Biogeochemical Global Warming Runs · p. 13 · plain
      “All three models simulate a reduction of ~ 6% (Table 2).”
    Quote in the paperSubstantial claim
  • Findingown data
    § Potential impact of climate change on marine export production · p. 3

    At 2xCO2, regional changes in marine export production range from -15% zonal average in the tropics to +10% in the Southern Ocean.

    “regionally changes can be both negative and positive (from -15% zonal average in the tropics to +10% in the Southern Ocean)”
    Quote in the paperSubstantial claim
  • Findingown data
    § Potential impact of climate change on marine export production · p. 3

    Both coupled models and both biogeochemical schemes simulate a poleward shift of marine production due mainly to a longer growing season at high latitudes.

    “Both coupled models and both biogeochemical schemes simulate a poleward shift of marine production due mainly to a longer growing season at high latitudes.”
    Quote in the paperSubstantial claim
  • Findingown data
    § 3.3. Biogeochemical Global Warming Runs · p. 13

    All three models simulate a reduction of ~6% in global export production at 2xCO2.

    “All three models simulate a reduction of ~ 6% (Table 2).”
    Quote in the paperSubstantial claim
  • Findingown data
    § 3.3. Biogeochemical Global Warming Runs · p. 13

    Marine productivity in our global warming simulations was substantially altered, relative to the control with both coupled models and both biogeochemical schemes.

    “Marine productivity in our global warming simulations was substantially altered, relative to the control with both coupled models and both biogeochemical schemes.”
    Quote in the paperSubstantial claim
  • May combine two claims. 11
  • Classified as probably not a substantial claim. 4
  • May combine two claims.

    Findingown data
    § 3.1. Climate Runs · p. 11

    In the Southern Ocean, export production simulated in LGc and AGc is much larger than derived estimates; much better agreement is found with simulation LBc.

    “In the Southern Ocean though, export production simulated in LGc and AGc is much larger than derived estimates. Conversely, much better agreement is found with simulation LBc, with its more sophisticated biogeochemistry.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data
    § 3.1. Climate Runs · p. 7

    The increase in precipitation over the ocean during the last decade of integration was +2-3% for Ls-Lc and +3-4% for As-Ac.

    “The increase in precipitation over the ocean during the last decade of integration was +2-3% for Ls-Lc and +3-4% for As-Ac.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data
    § 3.1. Climate Runs · p. 7

    Most notable were increases in SST and near-surface ocean stratification, owing both to warming and increased precipitation.

    “Most notable were increases in SST (Figure 2b) and near-surface ocean stratification, owing both to warming and increased precipitation (Figure 2c).”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data
    § 3.1. Climate Runs · p. 11

    Simulated EP is 13.1 GtC yr−1 in LGc, 9.5 GtC yr−1 in AGc, and 11.1 GtC yr−1 in LBc.

    “Simulated EP is 13.1 GtC yr−1 in LGc, 9.5 GtC yr−1 in AGc, and 11.1 GtC yr−1 in LBc.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationnone given
    § Potential impact of climate change on marine export production · p. 3

    At 2xCO2, increased stratification leads to both reduced nutrient supply and increased light efficiency.

    “At 2xCO2, increased stratification leads to both reduced nutrient supply and increased light efficiency.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation
    § 1. Introduction · p. 3

    Coupled models simulate that Earth's surface warms by 1°-3°C when atmospheric CO2 reaches twice its preindustrial concentration.

    “Coupled models converge to a global warming and simulate that Earth's surface warms by 1°- 3°C when atmospheric CO2 reaches twice its preindustrial concentration [Houghton et al., 1996].”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Houghton et al., 1996

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Study design and conductown data
    § 3.1. Climate Runs · p. 11

    These global estimates fall in the range of POC export production estimated from observations (3.5-20 GtC yr−1) and from simulations with other global carbon cycle models (8.5-15 GtC yr−1).

    “These global estimates fall in the range of POC export production estimated from observations (3.5-20 GtC yr−1) [Berger and Wefer, 1991; Jahnke, 1996] as well as that from simulations with other global carbon cycle models (8.5-15 GtC yr−1)”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites Berger and Wefer, 1991

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Jahnke, 1996 source
  • May combine two claims.

    Study design and conductcitation
    § 2.3. Carbon-Climate Simulations · p. 5

    The G scheme, coupled to OPA, has been validated for the seasonal cycle of biogeochemical tracers and for the interannual variability of carbon fluxes to the ocean.

    “This G scheme, coupled to OPA (Océan Parallélisé), has been validated both for the seasonal cycle of biogeochemical tracers [Aumont, 1998] and for the interannual variability of carbon fluxes to the ocean [Le Quéré et al., 2000].”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites Aumont, 1998
    • cites Le Quéré et al., 2000

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Study design and conductown data
    § 3.1. Climate Runs · p. 5

    The overall atmospheric and oceanic circulations simulated in both control simulations are generally consistent with modern observations and capture the gross features of the present-day climate.

    “The overall atmospheric and oceanic circulations simulated in both control simulations are generally consistent with modern observations and thus capture the gross features of the present-day climate.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationreasoning
    § 3.1. Climate Runs · p. 11

    The maximum in export production in the central and western equatorial Pacific is not due to higher productivity than in the eastern part; it is explained by a larger vertical extent of production in this region due to a deep mixed layer, unlike in the east where all production occurs within the top 30 m due to a shallow mixed layer.

    “Thus the maximum in export production in the central and western equatorial Pacific is not due to higher productivity than in the eastern part. Instead, it is explained by a larger vertical extent of production in this region (due to a deep mixed layer) unlike in the east where all production occurs within the top 30 m (due to a shallow mixed layer).”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Interpretationreasoning
    § Potential impact of climate change on marine export production · p. 3

    The resulting reduction in marine productivity, and other marine resources, could become detectable in the near future, if appropriate long-term observing systems are implemented.

    “The resulting reduction in marine productivity, and other marine resources, could become detectable in the near future, if appropriate long-term observing systems are implemented.”
    Quote in the paperNot a substantial claim
    • Rests on an assumption: Any such changes in marine productivity would propagate up to the marine foodweb.
  • May combine two claims.

    Study design and conductreasoning
    § 3.1. Climate Runs · p. 11

    All three of our biogeochemical schemes are phosphate based and lack limitation by other nutrients such as Fe, N, and Si; they will thus necessarily fail to reproduce many patterns.

    “Again, we emphasize that all three of our biogeochemical schemes are phosphate based. They lack limitation by other nutrients such as Fe, N, and Si. They will thus necessarily fail to reproduce many patterns”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductown data
    § 3.1. Climate Runs · p. 7

    Both estimates of global average surface warming fall within the range of other CMIP models (1°-3°C).

    “Both estimates fall within the range of other CMIP models (1°-3°C).”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation
    § 2.3. Carbon-Climate Simulations · p. 5

    The B scheme explicitly includes plankton dynamics.

    “Our second biogeochemical scheme is more true to that term since it explicitly includes plankton dynamics.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Aumont et al., 2000

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Interpretationreasoning
    § 3.1. Climate Runs · p. 11

    The deeper that POC production occurs, the less it is regenerated in the first 100 m by grazing or remineralization, and the more it is exported.

    “The deeper that POC production occurs, the less it is regenerated in the first 100 m by grazing or remineralization, and the more it is exported.”
    Quote in the paperSubstantial claim
15 of 15
  • The paper relies on this without support.

    Future climate change will affect marine productivity.

    “Future climate change will affect marine productivity, as well as other many components of Earth system.”
  • The paper relies on this without support.

    Phytoplankton growth depends on the local conditions of light, temperature, and vertical eddy diffusion, which acts to homogenize the concentration of phytoplankton cells throughout the complete mixed layer.

    “Phytoplankton growth depends on the local conditions of light, temperature, and vertical eddy diffusion, which acts to homogenize the concentration of phytoplankton cells throughout the complete mixed layer.”
  • The authors state this as an assumption.

    In the top 100 m of the water column, POC sinks at a constant rate.

    “In the top 100 m of the water column, POC is assumed to sink at a constant r a s sd ( om depth and thereby contribute to particulate export production as defined for this paper.”
  • The paper relies on this without support.

    Any such changes in marine productivity would propagate up to the marine foodweb.

    “Any such changes would obviously propagate up to the marine foodweb.”
4 of 4

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

  • Conclusion's latitude changes conflict with Table 2

    Major

    The conclusion reports a 20% decrease at low latitudes and a 30% increase at high latitudes. Table 2 reports low-latitude decreases of 10.1-11.0% and high-latitude increases of 5.1-12.5% for the three models.

  • AGs is assigned the L-model climate forcing

    Minor

    Table 1b assigns AGs the Ls climate forcing, but the paper identifies AG as the A-model experiment; Table 1a names its scenario forcing As.

  • North Pacific comparison cites the wrong Plate 2 panels

    Minor

    The text cites panels 2d and 2e for the LG-versus-LB climate-change comparison. The caption identifies those panels as the AG change and the LB control; the LG and LB change panels are 2b and 2f.

  • Detectability comparison names the wrong scenario run

    Minor

    The equatorial-Pacific detectability analysis is described as using the LB model and its LBs scenario, but the significance statement instead compares LGs with LBc.

4 of 4

Cites

Flagged first, then by citations

Research works printed but not linked: 5

  1. Filiberti M.‐A., 1999, Igloo sea‐ice model version 1.0, Notes techniques du pole de modelisation
  2. Lazar A., 2001, A rationalization of the Veronis upwelling/downwelling system and its sensitivity to mixing parameterizations in an idealized OGCM, J. Phys. Oceanogr.
  3. Madec G., 1997, OPA Version 8.0 Ocean General Circulation model, Reference manual
  4. Sadourny R., 1984, New Perspectives in Climate Modeling, 173
  5. Terray L., 1999, The OASIS coupler user guide, version 2.3

Cited by

Sorted by citations

Authors
Bopp, L., Monfray, P., Aumont, O., Dufresne, J., Le Treut, H., Madec, G., Terray, L., & Orr, J. C.
Venue
Global Biogeochemical Cycles
Published
2001-03
Volume
15
Issue
1
Pages
81-99
ISSN
  • 0886-6236 (ISSN-L)
  • 1944-9224
OpenAlex
W1973095441
Cited by
514
References
39
Citations by year
2026: 13 · 2025: 17 · 2024: 18 · 2023: 25 · 2022: 27 · 2021: 20 · 2020: 28 · 2019: 24 · 2018: 25 · 2017: 19 · 2016: 17 · 2015: 30 · 2014: 22 · 2013: 33 · 2012: 21
FWCI
11.74
Type
journal article
Language
en
Open access
Locations
  • Global Biogeochemical Cycles (publishedVersion)
  • HAL (Le Centre pour la Communication Scientifique Directe) (submittedVersion)
  • ePrints Soton (University of Southampton) (submittedVersion)
  • NERC Open Research Archive (Natural Environment Research Council) (submittedVersion)
Topics
  • Physical Sciences › Earth and Planetary Sciences › Oceanography › Marine and coastal ecosystems
  • Physical Sciences › Environmental Science › Global and Planetary Change › Climate variability and models
  • Physical Sciences › Earth and Planetary Sciences › Oceanography › Oceanographic and Atmospheric Processes
Keywords
climate change impacts, ocean primary productivity, ocean stratification, nutrient supply, light efficiency, upwelling, poleward shift, growing season, greenhouse gas increase, Southern Ocean, tropical oceans

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