the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Exploring iron processes in the California Current System through a regional dataset of dissolved iron and organic ligands measurements
Abstract. The micronutrient iron (Fe) regulates productivity across vast regions of the ocean. Along continental margins, dissolved Fe (dFe) concentrations reflect interactions between external sources and internal cycling. Benthic and riverine inputs, together with stabilization by organic ligands, counterbalance biological uptake, scavenging, and precipitation. However, the balance among these processes remains poorly constrained, particularly with respect to the roles of ligands and authigenic Fe precipitation. Here, we compile 3,990 dFe measurements from 29 studies (1987–2024) and 473 measurements of different ligand classes from 7 studies along the U.S. West Coast (USWC), a mostly Fe-limited yet highly productive upwelling system. Most dFe measurements were collected within the upper 50 m, primarily along the central USWC and during summer. dFe concentrations exhibit a strong cross-shore gradient, declining from as much as ∼10 nM near the coast to ∼0.1 nM at 100 km offshore. This pattern is consistent with riverine and benthic inputs nearshore and rapid scavenging and precipitation along the shelf-to-basin pathway. Seasonal variability differs regionally: concentrations are higher in the northern USWC during summer, consistent with upwelling, while higher concentrations in the central and southern regions during winter likely reflect riverine inputs and/or enhanced vertical mixing. Concurrent Fe and ligand measurements are strongly correlated, suggesting a central role for ligands in stabilizing dFe. Positive correlations between dFe and macronutrients highlight the importance of biological uptake and remineralization, whereas negative correlations with oxygen indicate enhanced benthic fluxes under hypoxic conditions. Despite the value of the dataset’s coast-wide coverage, gaps in spatial and temporal sampling, along with methodological differences among studies, limit a comprehensive understanding of Fe variability and underlying processes. Improved intercalibration and high-quality measurements of Fe speciation and riverine inputs are needed to better constrain particulate Fe dynamics and coastal dFe enrichment. In addition, sustained long-term time series are essential to resolve the full seasonal cycle of Fe in this highly dynamic region.
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Status: open (until 20 Sep 2026)
- AC1: 'Comment on egusphere-2026-4502', Anh Pham, 25 Aug 2026 reply
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RC1: 'Comment on egusphere-2026-4502', Léo Mahieu, 11 Sep 2026
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The manuscript titled ‘Exploring iron processes in the California Current System through a regional dataset of dissolved iron and organic ligands measurements’ led by Dr. Anh Le-Duy Pham presents a valuable synthesis of a large effort of data compilation. The difference in spatiotemporal coverage of the compiled studies is well stated, and nevertheless, the synthesis effort lands on a precise discussion that provides further understanding of the processes driving iron cycling in the area. It also highlights the gaps to address moving forward. However, while the interest of the manuscript is manifest, several aspects need to be revised. First, I need to point out the formatting issue of the references, and I also suggest carefully checking the figures location within the text.
Most importantly, I have a problem with the interpretation of the ligand data. Indeed, the authors discuss the relationship between the concentration of dFe and of the different ligand classes and conclude on a strong relationship between the two. This is omitting the mathematical bias induced by the interpretation of the CLE-ACSV data, that incorporates dFe concentration within the ligand concentration following the assumption that all the dFe fraction is accessible for competitive ligand exchange with the added ligand. It is, therefore, mathematically logical that the relationship is strong, especially when a high range of dFe value is considered. This assumption is an important limitation to consider, especially in a coastal context, were large amounts of dFe could be inorganic and inert and/or sterically inaccessible for the added ligand. A more accurate way of interpreting this data would be to consider the truly titrated ligand fraction, the excess ligand : eL = L – dFe. An easy solution would be to use the variable already present in the published dataset Ltot = L1+ L2 + L3 + L4, and then look into the relation between dFe and eLtot = Ltot – dFe.
Despite the overall high quality of the manuscript, I believe the issues pointed out above require major revision before publication in egusphere, and hope my comments will help the authors in the preparation of their manuscript.
Specific comments:
l. 8: you mention a dFe max of 30 nM in the discussion, here it is 10 nM.
Introduction: maybe a map with general circulation arrows and current acronyms would help unfamiliar readers?
l. 12: statement about Fe and ligand relationship to be adjusted following the modification from the general comments.
l. 75 to 77: this is not necessary and should be deleted.
l. 92 to 107: introduce the notion of excess ligand here.
Section 3.2: this section is way longer than the other results subsection. You might want to split it, maybe as i) dFe vertical distribution, ii) dFe cross-shore distribution, and iii) ligand distribution. If done so, The current section 3.3. should be moved before description of ligands distribution.
Section 3.2.: you might want to consider adding a table describing the vertical and cross-shore variations of dFe, truly dissolved dFe, total dissolvable dFe, and ligands (split by classes or not). That would help the readers to take home a clear and concise piece of information.
l. 239 to 248: I globally agree with the comments on saturation of the stronger ligands and larger excess of weaker ligands, but I still want to see relationship with excess ligands.
l. 302: should be R = 0.7 – 1.0
l. 303: I disagree with the statement suggesting that siderophores are increasing with dFe. The siderophores increase is too small, and is the small of many detected siderophores of independent relationship to iron.
l. 302 to 312: to be corrected following general comments.
Fig. 8: first occurrence of the acronyms Lig1, Lig2, Lig3, Lig4, Side. This correlation table should also include Ltot and eLtot.
l. 324 to 340: you might want to integrate other references such as the following to discuss ligand production by bacteria in iron limited conditions:
Mellett, T., Monreal, P., Kunde, K. et al. Iron availability modulates bacteria carbon cycling in the mesopelagic. Sci Rep 16, 22360 (2026). https://doi.org/10.1038/s41598-026-49839-8
Bundy, R. M., K. N. Buck, B. D. Jenkins, et al. 2026. “Differences in Siderophore Production During the Growth of Phytoplankton in Southern Ocean Incubation Experiments Under High- and Low-Iron Conditions.” Environmental Microbiology 28, no. 9: e70410. https://doi.org/10.1111/1462-2920.70410.
Discussion and conclusion: I think this section would gain in readability being split into discussion subsections and a separate conclusion.
Citation: https://doi.org/10.5194/egusphere-2026-4502-RC1
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Exploring iron processes in the California Current System through a regional dataset of dissolved iron and organic ligands measurements Anh Le-Duy Pham https://doi.org/10.5281/zenodo.11068852
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There is a mistake in the authors’ affiliations for Claire Till and Raph Till in the preprint. The correct affiliation should be:
Chemistry Department, California State Polytechnic University, Humboldt, Arcata, CA, USA, 95521.
Anh Pham, on behalf of all co-authors.