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Research Article

Climate change decouples oceanic primary and export productivity and organic carbon burial

Cristina Lopes, Michal Kucera, and Alan C. Mix
  1. aIPMA, Instituto Português do Mar e da Atmosfera, 1749-077 Lisbon, Portugal;
  2. bCIMAR, Centro de Investigação Marinha e Ambiental, Rua dos Bragas, 4050-123 Porto, Portugal;
  3. cMARUM, Center for Marine Environmental Sciences, University of Bremen, DE-28359 Bremen, Germany; and
  4. dCEOAS, College of Earth, Ocean, and Atmospheric Sciences, Oregon State University, Corvallis, OR 97331

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PNAS January 13, 2015 112 (2) 332-335; first published December 1, 2014; https://doi.org/10.1073/pnas.1410480111
Cristina Lopes
aIPMA, Instituto Português do Mar e da Atmosfera, 1749-077 Lisbon, Portugal;
bCIMAR, Centro de Investigação Marinha e Ambiental, Rua dos Bragas, 4050-123 Porto, Portugal;
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  • For correspondence: cristina.c.lopes@gmail.com
Michal Kucera
cMARUM, Center for Marine Environmental Sciences, University of Bremen, DE-28359 Bremen, Germany; and
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Alan C. Mix
dCEOAS, College of Earth, Ocean, and Atmospheric Sciences, Oregon State University, Corvallis, OR 97331
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  1. Edited by James P. Kennett, University of California, Santa Barbara, CA, and approved October 27, 2014 (received for review June 5, 2014)

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Significance

Climate and ecosystem changes in the Northeast Pacific decoupled primary and export productivity and organic carbon burial during climate warming of the last deglaciation. These findings challenge and clarify the meaning of paleoceanographic proxies of productivity and provide key constraints for modeling of the ocean’s biological pump as a potential carbon feedback mechanism associated with large-scale climate change. To our knowledge, this is the first clear demonstration that primary productivity, export productivity, and carbon burial are significantly decoupled under scenarios of large-scale climate change. This is an important constraint on biogeochemical carbon cycle models, which generally assume such changes covary.

Abstract

Understanding responses of oceanic primary productivity, carbon export, and burial to climate change is essential for model-based projection of biological feedbacks in a high-CO2 world. Here we compare estimates of productivity based on the composition of fossil diatom floras with organic carbon burial off Oregon in the Northeast Pacific across a large climatic transition at the last glacial termination. Although estimated primary productivity was highest during the Last Glacial Maximum, carbon burial was lowest, reflecting reduced preservation linked to low sedimentation rates. A diatom size index further points to a glacial decrease (and deglacial increase) in the fraction of fixed carbon that was exported, inferred to reflect expansion, and contraction, of subpolar ecosystems that today favor smaller plankton. Thus, in contrast to models that link remineralization of carbon to temperature, in the Northeast Pacific, we find dominant ecosystem and sea floor control such that intervals of warming climate had more efficient carbon export and higher carbon burial despite falling primary productivity.

  • organic carbon
  • export productivity
  • glacial-interglacial
  • diatoms
  • biological pump

Photosynthetic activity of marine algae fixes dissolved inorganic carbon into biomass. A fraction of this biomass is exported and remineralized or buried in the deep ocean (1). The efficiency of this process, known as the biological pump, may vary among oceanic regions (2) and on geological time scales (3). Biogeochemical models can be used to predict the future behavior of the carbon cycle; however, their efficacy depends on how they calculate primary and export production and remineralization (4). Some models remineralize carbon in the water column based on temperature and sinking velocity (5), and others are tuned to the modern depth distribution of sediment trap fluxes (6). It remains to be established whether these parameterizations are stable across climate transitions and whether they include all key determinants of the efficiency of the biological pump.

The geological record provides an opportunity to assess the sensitivity of the biological pump to changing boundary conditions. On geological time scales, organic carbon burial in deep sea sediments is often interpreted as a tracer of productivity (7), and the implied net carbon flux from the surface to the deep ocean has been implicated as one of the key processes explaining lowered atmospheric carbon dioxide levels during glacial times (8). However, reconstructions of productivity based on organic carbon burial have been questioned based on sensitivity to diagenesis within the sediment, either related to oxygen availability (9) or sorption on mineral surfaces (10, 11). Conflicts among estimates of biological production based on different proxies have also been noted (12⇓–14). Resolution of these disagreements, and better understanding of the interactions between climate and the carbon cycle, requires new proxy approaches that compare the state of the photosynthesizing plankton community, export of carbon to the deep sea, and rates of carbon burial on the basis of independent indicators.

Materials and Methods

We estimate mean annual primary productivity (PPa) quantitatively based on the composition of diatom floras in marine sediments of the Northeast Pacific, the phytoplankton group most closely associated with carbon fixation here. We assess changes in carbon export efficiency (based on a diatom size index; Tables S1 and S2 and Dataset S1) and burial efficiency (based on organic carbon mass accumulation rates) over the last ∼30 ka at one of the two locations representing coastal and open-ocean high productivity upwelling regimes (Fig. 1). Under the coastal upwelling regime, the record from Ocean Drilling Program (ODP) site 1019 (41.683°N, 124.933°W, 978 m depth) is combined with adjacent core MD02-2499 (41.683°N, 124.940°W, 904 m depth; Fig. S1). The region of seasonal open-ocean upwelling system (Fig. S2) driven by wind-stress curl (15) is represented by core W8709-13PC (42.117°N, 125.75°W, 2712 m depth) from the eastern flank of the Gorda Ridge, ∼220 km offshore.

Fig. 1.
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Fig. 1.

Study area. Circles indicate the position of core top samples used to derive the productivity transfer function; squares mark the position of down-core records. Gray shading shows bathymetry. Contours show the spatial pattern of modern mean annual primary productivity (gC/m2/y) from ref. 20.

For cores ODP 1019 and MD02-2499, a radiocarbon-based age model (16, 17) is further tuned by correlation of benthic δ18O to the radiocarbon-dated W8709-13PC (15, 17). The chronology of core W8709-13PC is based on 40 planktonic foraminifera radiocarbon dates including data from ref. 18 and three additional post-LGM dates (Table S3). Sedimentation rates for this core and uncertainties were estimated by Monte Carlo simulation in fixed increments (Table S3). This approach resolves the main paleoclimatic transitions but avoids amplification of uncertainties between closely spaced pairs of individual dates. Organic carbon burial rates combine sedimentation rates, dry bulk density, and measurements of organic carbon concentration. The coastal upwelling site includes a large contribution of organic matter from terrestrial sources (19), and this precludes meaningful calculation of marine organic carbon burial and export efficiency as a fraction of primary production; nevertheless, this coastal site is used to estimate PPa from diatom floras and verifies that productivity patterns seen in the offshore site also apply to the coastal upwelling system.

We previously developed a statistical transfer function to estimate PPa from diatom species relative abundance, including freshwater diatoms, based on unimodal maximum likelihood (ML) methods (20). During the Last Glacial Maximum, high abundance of freshwater diatoms in marine sediments sourced from the Columbia River (15) creates a no-analog condition in the published scheme. To circumvent this no-analog condition, here we exclude freshwater diatoms from the analysis (i.e., we put closure around marine diatoms) and recalibrate the transfer functions. We further compare PPa estimates based on ML approaches with an independent, nonparametric approach of artificial neural networks (ANN; details in SI Materials and Methods; Fig. S3). The ML transfer function for PPa has a cross-validated jackknifed r2 of 0.75 and a root mean square error of prediction (RMSEP) uncertainty of 155 grams carbon per square meter per year (gC/m2/y), 15% of the total calibration range of 197–1243 gC/m2/y. The ANN estimator for PPa has an r2 (here expressed as between observed and estimated values; ANN does not give a jackknifed r2) of 0.92 and an RMSE uncertainty of 104 gC/m2/y (10% of the calibration range).

Results and Discussion

Estimates of core-top PPa based on ML and ANN at site ODP 1019 (475 ± 104 and 345 ± 155 gC/m2/y, respectively) are consistent with the modern observed values (426 gC/m2/y) (21). The youngest (mid-Holocene) PPa reconstructions for core W8709-13PC (564 ± 104 and 454 ± 155 gC/m2/y for ML and ANN, respectively) are slightly higher than the modern atlas value of 351 gC/m2/y. Both methods estimate PPa during glacial times about double that of the late Holocene; the ML estimates display higher variance than the ANN estimates at both core sites during the glacial interval (Fig. 2 A and B). PPa decreases abruptly between ∼17 and 16 ka and again between ∼13 and ∼11 ka, which is coincident with times of rapidly increasing atmospheric CO2 (22).

Fig. 2.
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Fig. 2.

Diatom-based paleoenvironmental indices across the last glacial termination in the Northeastern Pacific. For derivation, see Dataset S2. PPa reconstructions for (A) ODP 1019 and MD02-2499 (ML in black and ANN in gray) and (B) W8709-13PC (ML in black and ANN in gray); thin lines indicate the uncertainty envelope of each method. (C) Upwelling index based on Q-mode factor analysis for MD02-2499 (black) and W8709-13PC (gray). (D) Abundance of freshwater diatoms as a percentage of total diatoms (a proxy for river discharge) at ODP 1019 and MD02-2499 (black) and W8709-13PC (gray). (E) Percentage of large diatoms [relative to total marine diatoms; a proxy for export efficiency at ODP 1019 and MD02-2499 (black) and W8709-13PC (gray)]. Age model's details are in SI Materials and Methods.

To assess oceanographic mechanisms driving productivity change, we calculated a diatom-based upwelling index (Fig. 2C and SI Materials and Methods) in a manner similar to ref. 23, but excluding freshwater diatoms as these track river input (15) (Fig. 2D). A diatom size index (Fig. 2E) traces the efficiency of carbon export from the sea surface. Larger diatoms today are associated with high-export coastal upwelling systems replete with iron, whereas small diatoms are associated with low-export open ocean systems that are iron limited (24). As expected, this index is generally higher at our coastal upwelling site (ODP 1019 and MD02-2499) than offshore (W8709-13PC). The offshore Oregon system today is under mild iron stress, such that iron availability regulates the magnitude of phytoplankton blooms (25). Although some of the peaks in PPa are coincident with peaks in the upwelling index, in general, the upwelling index is lower during the LGM, consistent with a southward shift of the subpolar gyre (14). Substantially higher freshwater input documented during glacial time, especially during flood events (Fig. 2D) (15), may also contribute nutrients including silica and iron that are expected drivers of productivity. Overall, high glacial primary productivity tracks long-term increases in apparent river inputs, but in detail, reconstructed PPa highs do not match the individual peaks in freshwater diatom abundance, so the connection is likely indirect. Although not constrained here, such an indirect connection may reflect the tendency of river-borne iron in colloids to flocculate and sink quickly on encountering salt water (26); suboxic remobilization of iron from accumulation sites in shelf sediments makes it available to the biota during the upwelling season (27). Relatively low flooded shelf area during the glacial maximum may have limited this mechanism for iron fertilization despite strong regional river input. Thus, high primary productivity in the region may reflect nitrate, phosphate, and silicic acid inputs from strong river fluxes, whereas relatively low export may have reflected iron limitation.

To assess temporal relationships in carbon fluxes and burial rates, we average all productivity and burial parameters within nonoverlapping consecutive 30-cm increments (SI Materials and Methods) and scale the diatom size index linearly to export efficiency (i.e., the ratio export/primary productivity) such that it spans a range of 20–50%. This is similar to the modern range of this ratio from the subtropical North Pacific to the high-latitude upwelling systems (28). Although the exact calibration of the export index is uncertain, our results are relatively insensitive to reasonable variations in the scaling. The results indicate that, although the reconstructed PPa in core W8709-13PC was highest during glacial time (Last Glacial Maximum), the inferred export productivity peaked during the deglaciation (including the Bølling-Allerød, Younger Dryas, and Heinrich event 1 intervals) and the observed carbon burial was highest during interglacial (Holocene) time (Fig. 3).

Fig. 3.
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Fig. 3.

Variations in components of the biological pump across the glacial termination at site W8709-13PC, calculated in 30-cm averaged intervals. (A) Primary productivity (PPa), export productivity (EP), and organic carbon burial (OCB) averaged in 30-cm nonoverlapping consecutive intervals with uncertainty estimates (Dataset S3). (B) Export efficiency (EP/PPa), burial efficiency (OCB/PPa), and seafloor preservation of organic carbon (OCB/EP) expressed as percentages. Uncertainties are ±1σ (Dataset S4).

These results indicate that even under an extreme scenario of changes in export productivity, carbon burial across the last termination does not track productivity at our study site; this is also the case for preservation-corrected productivity indices based on an empirical combination of organic carbon contents and sedimentation rate (29), as well as for other common geochemical productivity indices such as opal percentage and accumulation rate and barium concentration and accumulation rate (SI Materials and Methods and Figs. S4 and S5). North of our study area, mass accumulation rates of marine organic carbon are controlled primarily by sedimention rates (especially in late glacial time), but also rise during interglacial time when sedimentation rates were lower (30). It is possible that organic carbon-based estimates of export productivity may work in some regions when confounding influences of preservation are relatively small. Thus, it is plausible that organic carbon-based estimates of export productivity may work in some regions where confounding influences are relatively small.

Carbon burial at our Gorda Ridge site is likely dominated by preservation effects, expressed either as sea floor preservation (i.e., OCB/EP) or carbon burial efficiency (i.e., OCB/PPa). Both parameters increased during the deglacial transition when both primary productivity and the inferred export productivity were low (Fig. 3B). Across the deglacial transition, carbon burial decreases with increasing primary productivity (Fig. 4A) and is unrelated to export productivity (Fig. 4B), but shows a strong positive correlation to sedimentation rate (with one outlier, Fig. 4C). These findings support hypotheses that link the process of organic carbon preservation either to sorption on mineral surfaces (10, 11) or to integrated oxygen exposure time (9, 31), both of which are influenced directly by sediment accumulation rate. There is no significant correlation between our estimates of PPa from diatom species assemblages and sedimentation rate (r = −0.3, P = 0.18), implying no obvious artifacts in PPa estimates related to this process.

Fig. 4.
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Fig. 4.

Determinants of carbon burial across the glacial termination at site W8709-13PC. (A) Carbon burial decreases with increasing reconstructed PPa (r = 0.8, P = 0.001). (B) Carbon burial is not significantly correlated to estimated export productivity (r = 0.3, P = 0.18). (C) Carbon burial increases proportional to sedimentation rate (r = 0.5, P = 0.05), suggesting that preservation effects linked to sedimentation rate, rather than productivity, control carbon burial. (D) δ15N (per mil) decreases with increasing reconstructed PPa (r = 0.9, P < 0.001). (E) δ15N (per mil) is not significantly correlated to estimated export productivity (r = 0.2, P = 0.28). (F) δ15N (per mil) does not increase proportionally to sedimentation rate (r = 0.1, P = 0.38), suggesting that sedimentation rate does not control the δ15N (per mil) record. All parameters are plotted as means and 1σ uncertainties for nonoverlapping consecutive 30-cm intervals (Dataset S3).

The apparent changes in export efficiency, which decoupled primary and export production through time, must have plausible ecological controls. In the North Pacific, this likely reflects the transition from a subpolar ecosystem during glacial time (14), similar to that of the modern Alaska Gyre where carbon export is relatively low and primary production is mostly recycled within the water column, to a coastal upwelling system in interglacial time dominated by large diatoms that sink rapidly and are more effective in exporting organic carbon to the deep sea (10, 32). Our PPa estimates are significantly correlated (r = −0.91, P < 0.001) with δ15N (33). The association of high PPa with low δ15N (Fig. 4D) is also consistent with a glacial ecosystem similar to that of the Alaska Gyre, with relatively low fractional nitrate utilization and export efficiency.

Export efficiency peaked during the last deglacial transition, during a time of sea level rise. Such an effect is consistent with hypothesized sources of both particulate and dissolved iron from the continental shelf during sea level rise (16) and from growing hypoxia on the shelf and upper slope during deglacial warming (34, 35). Hypoxia in parts of the North Pacific during the last deglaciation may have been sustained in part by iron feedback that produced an ecological shift to a more efficient exporting ecosystem (36).

Conclusions

Our finding of apparent decoupling between primary productivity, export productivity, and carbon burial has important implications for modeling the responses of the carbon cycle to climate change. For example, one model projects diminished strength of the biological carbon pump under future warming (37); such a feedback process could further increase atmospheric greenhouse gases, but this finding depends on the mechanisms that control export efficiency. Our results discount the importance of temperature as a sole control of carbon remineralization and illustrate dominant ecosystem control of carbon export in the Northeast Pacific. The sense of change in our study is that cold times have lower export efficiency than warm times and that organic carbon burial may be unrelated to change in primary productivity. To the extent that this finding is generally applicable, the biological carbon pump may strengthen in some regions in response to warming. Our data indicate that, at least in the Northeast Pacific and perhaps generally, sediment records of organic carbon burial and other geochemical proxies with preservation sensitive to sedimentation rates cannot be confidently interpreted as a direct proxy for either primary or export production in the past.

Acknowledgments

This work was funded by Fundação para a Ciência e Tecnologia (FCT) grants to C.L. (PDTC/AAC-CLI/112189/2009; the Panocean project, and SFRH/BPD/26732/2006), FCT, Deutsche Akademische Austauschdienst (DAAD), and Bundesministerium für Bildung und Forschung (BMBF) support through the Program “Acções Integradas Luso-Alemãs/DAAD” to C.L. and M.K., and National Science Foundation Grant 0602395 (Project PaleoVar, to A.C.M.).

Footnotes

  • ↵1To whom correspondence should be addressed. Email: cristina.c.lopes{at}gmail.com.
  • Author contributions: C.L., M.K., and A.C.M. analyzed data; C.L., M.K., and A.C.M. wrote the paper.

  • The authors declare no conflict of interest.

  • This article is a PNAS Direct Submission.

  • See Commentary on page 306.

  • This article contains supporting information online at www.pnas.org/lookup/suppl/doi:10.1073/pnas.1410480111/-/DCSupplemental.

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Climate decouples productivity and carbon burial
Cristina Lopes, Michal Kucera, Alan C. Mix
Proceedings of the National Academy of Sciences Jan 2015, 112 (2) 332-335; DOI: 10.1073/pnas.1410480111

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Climate decouples productivity and carbon burial
Cristina Lopes, Michal Kucera, Alan C. Mix
Proceedings of the National Academy of Sciences Jan 2015, 112 (2) 332-335; DOI: 10.1073/pnas.1410480111
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  • Ironing out carbon export to the deep ocean
    - Jan 13, 2015
Proceedings of the National Academy of Sciences: 112 (2)
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