Biogenic and nonliving labile particulate iron in the subtropical North Pacific Ocean

Bates, Eleanor S.; Hawco, Nicholas J.

doi:10.5194/egusphere-2025-6068

Preprints

https://doi.org/10.5194/egusphere-2025-6068

Preprints

23 Dec 2025

| 23 Dec 2025

Biogenic and nonliving labile particulate iron in the subtropical North Pacific Ocean

Eleanor S. Bates and Nicholas J. Hawco

Abstract. Biogenic and authigenic particulate iron (pFe) are key components of the marine iron cycle, influencing the fate of Fe in the upper ocean. However, their relative contributions to the total pFe pool are challenging to quantify. The chemical leach commonly used to operationally define ‘labile’ pFe is thought to extract both the biogenic and authigenic phases. To independently determine biogenic pFe, we conducted Fe uptake experiments in the surface mixed layer on 12 cruises in the subtropical North Pacific Ocean. Bulk Fe uptake rates varied ~2.5-fold throughout the year, increasing with increasing Prochlorococcus and picoeukaryotes abundances. We used particulate carbon and phosphorus as biomass estimates in combination with Fe:C uptake ratios, finding that both led to overestimations of the biogenic pFe pool (>200% of labile pFe in the surface mixed layer). Using the nucleotide adenosine-5’-triphosphate (ATP) as an alternate estimate of living biomass instead suggested that biogenic pFe comprised ~60% of labile pFe in the mixed layer. The remainder of the labile pFe pool, defined as ‘nonliving’, dominated the labile pFe pool below the euphotic zone, capturing contributions from detrital organic matter, authigenic minerals, and dust. A comparison of Fe phases between Station ALOHA and the subtropical North Atlantic revealed similar concentrations of dissolved Fe and biogenic pFe, but higher nonliving labile pFe concentrations in the North Atlantic, likely reflecting greater dust deposition. The greater role of biogenic pFe in the North Pacific may enable high efficiency Fe recycling, which rivals that observed in Fe-limited ecosystems.

Received: 04 Dec 2025 – Discussion started: 23 Dec 2025

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.

Download & links

Preprint (PDF, 957 KB)

Notice on discussion status
The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.
Preprint (957 KB)

Supplement (103 KB)

Download & links

The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.

Journal article(s) based on this preprint

08 May 2026

Living and nonliving particulate iron in the subtropical North Pacific Ocean

Eleanor S. Bates and Nicholas J. Hawco

Biogeosciences, 23, 3059–3072, https://doi.org/10.5194/bg-23-3059-2026,https://doi.org/10.5194/bg-23-3059-2026, 2026

Short summary

Eleanor S. Bates and Nicholas J. Hawco

Interactive discussion

Status: closed

RC1:
'Comment on egusphere-2025-6068', Anonymous Referee #1, 14 Jan 2026

Review of egusphere-2025-6068 “Biogenic and nonliving labile particulate iron in the subtropical North Pacific Ocean by Bates and Hawco.
Summary

This manuscript explores the composition and dynamics of labile particulate iron (pFe) in the subtropical North Pacific, focusing on the split between biogenic and nonliving fractions. To achieve this, the authors undertook iron (Fe) uptake experiments (using the Fe isotope double spike method) and carbon (C) uptake to estimate how much Fe and C are incorporated into cells. They then use Fe:C uptake ratios in combination with particulate organic carbon (POC), particulate organic phosphorus (PP) and ATPase to estimate biogenic pFe. To estimate labile iron, Bates and Hawco used the chemical leach method of Berger et al. (2008) to estimate easily mobilised Fe from biogenic and non-living material. Finally, they connect the two and determine that biogenic Fe accounts for approximately 60% of labile Fe in the mixed layer, with the rest being associated with nonliving matter.
Overall, the manuscript is generally well written. One bugbear is that the manuscript keeps directing the reader to other papers for DFe and associated data (see examples below). I realise that the data has been published, but it would be useful to include plots in the supporting materials; otherwise, the reader has to sift through articles to check the claims.
Specific comments

Line 96: Are you saying that at the end of the incubation, there was ~a 50:50 split of the FeDS between the dissolved and particulate phases? Or is this total - probably the total as you added ~ 50 pM.
Line 119-120: Where is the evidence to support this? Please reference a figure or table here - as a reader, I really don't want to have to search through other references for the data. It’s your data (Bates and Hawco, 2025), so this should be easy to generate. Perhaps you could add an extra couple of panels to Fig 1 showing the iron data or add a new figure. Or you could add a figure to the supplementary information showing the DFe data and reference it came from Bates and Hawco, 2025.
Line 122-123: Again, please don't make me read other papers to see the primary data you are referring to - show it here and then reference where it came from.
Line 129: What about Synechococcus? was that measured? It can also be an important player in tropical and subtropical waters. Certainly, it is often found at shallower depths than Prochlorococcus (Flombaum et al., 2013).
Line 134: Table S1 only show correlation data; perhaps you could show the population data for Prochlorococcus, Synechococcus, and picoeukaryotes at 25 m. That will allow the reader to check the data and the points about abundance made in the text.
Line 134: How about presenting the 14C data. It would be nice to see how it varied temporally. We only have the Fe:C ratio data.
Figure 1. Because you say that Prochlorococcus and picoeukaryotes dominate, is it possible to normalise the iron uptake to cell number to get an idea of uptake per cell? As you show in panels c-e, the strong coupling between uptake and Prochlorococcus and picoeukaryotes abundance indicates that it is driven by cell abundance, which is likely to vary seasonally. Based on the comments about the 14C data on lines 133 to 134, I assume that primary production (14C) and cell abundance are not coupled? It might be worth showing this as well.
Line 175: The assumption here is that the Berger method is getting all of the biogenic Fe - did you check the Fe/Al ratio for the labile and total pools to see if they jive with each other? Also, perhaps it should be mentioned that the Berger method was designed to look at labile iron from the Columbia River plume and coastal waters off the West Coast of the US. The values in that study were in the high nanomolar range for iron, whereas concentrations in the present work are subnanomolar. Since most of the iron in the present work is likely within organic molecules, dead and alive, it is possible that the Berger leach does not access this as molecules may need to be oxidised (noting the Berger leach is reducing) to break them down before iron can be accessed. Just a thought.
Figure 3, panel b. The unit nM needs to be removed as this is a fraction calculation.
Figure 4 caption. “…authigenic (navy)..” is mentioned, but the figure key is “Labile nonliving pFe”.
Line 303 – I like this, it's always good to compare to other regions.

References

Bates, E.S., Hawco, N.J., 2025. Dissolved Iron Seasonal Cycle and Residence Time in the North Pacific Subtropical Gyre. Geophysical Research Letters, 52(21): e2025GL118095.
Berger, C.J.M., Lippiatt, S.M., Lawrence, M.G., Bruland, K.W., 2008. Application of a chemical leach technique for estimating labile particulate aluminum, iron, and manganese in the Columbia River plume and coastal waters off Oregon and Washington. Journal of Geophysical Research-Oceans, 113.
Flombaum, P. et al., 2013. Present and future global distributions of the marine Cyanobacteria Prochlorococcus and Synechococcus. Proceedings of the National Academy of Sciences, 110(24): 9824-9829.

Citation: https://doi.org/10.5194/egusphere-2025-6068-RC1
- AC1: 'Reply on RC1', Eleanor Bates, 13 Mar 2026
  
  We thank the reviewer for their time and feedback. Please find our comment responses in the attached document.
  
  Citation: https://doi.org/10.5194/egusphere-2025-6068-AC1
CC1:
'Comment on egusphere-2025-6068', Yang Xiang, 15 Jan 2026

Comments to the authors:
Bates and Hawco present a well-written manuscript demonstrating the partition between different particulate iron (pFe) pools, especially biogenic and nonliving pFe, during seasonal cruises at Station ALOHA. Such work is of great significance given the increasing attention on the role of authigenic mineral phases in the overall surface Fe cycling. The authors have done a good job presenting and interpreting the seasonal variations of particulate Fe data. The use of ATP to estimate biogenic is novel and quite interesting. The manuscript is clear, thorough, and nearly free of typos. However, I do have some substantive comments and editorial remarks as listed below. Overall, I recommend publication with major revisions.
%----------------
Major interpretation points
I have two major comments.
Firstly, the authors made many assumptions in their estimations of biogenic pFe, many of which were not mentioned in the text. For example, the Fe:C uptake ratio used in Equations 3-5 does not necessarily equal the cellular Fe:C quotas (Fe:C) used in Sofen et al. (2023). The authors need to acknowledge this and be clear about their assumptions. Additionally, Sofen et al. (2023) used PP_Labile in their calculations, while the authors used bulk PP in Equation 4. The authors should have the leachable PP data since they did the Berger leach. Al-Hashem et al. (2022; 10.1029/2022GB007453) found up to 60% of PP that cannot be accessed with the Berger leach, for example. Since the authors are comparing their results with Sofen’s, it’s important to make sure the calculations have been conducted similarly. Otherwise, those results may not be directly comparable.
Secondly, some of the calculations are flawed. The use of PC in Equation 3 to estimate biogenic Fe is likely an overestimation. While phytoplankton production (uptake of dissolved inorganic carbon) is the dominant source of new organic matter in the open ocean, the standing stock of POC (here the authors use PC since those are the only data available) includes significant contributions from other sources. What about heterotrophic and allochthonous sources, for example? Based on the authors’ definition of biogenic pFe, the authors should possibly use phytoplankton carbon rather than total POC in Equation 3. Please refer to Graff et al. (2015; 10.1016/j.dsr.2015.04.006) for the nuances, with the former values much smaller.
%----------
Interpretation points, by line #
Lines 14-16: Do the authors have data or literature to show how much of a fraction is labile pFe in dust deposition at Station ALOHA? I assume that it's a relatively small fraction, right?
Lines 103-104: Are there any specific reasonings for using dFe at 25 m rather than the mean mixed layer concentrations? How different are dFe concentrations at 25 m and within the mixed layer?
Line 117: Are sinking particulate Fe data from sediment traps at Station ALOHA? I assume that data were also extracted from the HOT-DOGS. If so, please add the data source to section 2.3.
Lines 174-179: If carbon uptake rates (GPP) are underestimated by the ¹⁴C incubation experiments (values between GPP and NPP), the Fe:C uptake ratios will be overestimated. This could help decrease the pFe_Bio.
Lines 189-191: Assuming the rest of POC are phytoplankton carbon for simplicity, the actual pFe_{Bio_PC}will decrease by 58-74%, which will make pFe_{Bio_PC}much more similar to pFe_labile and pFe_{Bio_ATP}.
Lines 191-193: The way the Fe:C ratio is calculated is more like an average ratio with respect to the bulk pool of particles though. I don't think a lower Fe:C stoichiometry in detritus, a specific pool of particles, makes any difference to the overall calculation.
Lines 194-198: The authors could possibly quantify the effects from variations in phytoplankton community composition, since the C:P of living cells should range between 109 and 195 at Station ALOHA. With the minimum C:P_phyto we have, the pFe_{bio_pp}is likely overestimated by up to 50%, which will result in values more similar to pFe_labile, but not for all the data.
Lines 198-199: The exact reason will make equation 3 an overestimation of pFe_bio.
Line 242: If the authors name the remaining pool as nonliving, this implies what has been subtracted is "living". The pFe_bio is not necessarily pFe_living, right? Naming it as "non biogenic" is also not perfect, but it may be a better term. I agree that a more accurate term to name this pool of pFe is difficult…
Lines 247-258: The authors used a lot of text to explain how different their nonliving pFe is from the more common term used in the field, authigenic pFe. Their explanations rely on the fact that the operationally-defined Berger leach gets the pFe pool that is fully labile. What if the Berger leach also accesses some of the relatively reactive lithogenic pFe? Is that a possibility that could account for the differences and the similarity between pFe_nonliving and pFe_litho? Please clarify.
Lines 250-251: If dFe adsorb onto or somehow get incorporated into nonliving organic particles, they likely exist as authigenic Fe minerals, right?
Lines 272-274: This conclusion is likely not to hold. What about adsorption, disaggregation, and redox?
Lines 291-293: This could also account for the similarity between pFe_Bio and pFe_litho at Lines 272-274.
Lines 311-313: The summer-time dFe concentrations at BATS are much higher. I am not sure why such features were not discussed in the range of dFe.
Lines 316-320: Why not present the comparisons of labile pFe between BATS and Station ALOHA? It’s more meaningful than the derived parameters, which are prone to large uncertainties.
Lines 329-331: What if the authors conduct similar calculations as Sofen et al. (2023) by using their average Fe:C quota at Station ALOHA and labile PP, how will the values of biogenic and nonliving pFe change? Will this affect the conclusions? From what I can tell, Station ALOHA will possibly still have higher biogenic pFe within the mixed layer, but the values below 125 m will be potentially more comparable between these two sites.
%-----------------
Editorial remarks (by line #):
Lines 138-142: Figure 1a- It seems like the data point from August 2022 is the only one without any error bars. Why is that?
Line 260: I assume that the pFe_Bio hereafter is pFe_{Bio_ATP}. The authors should consider either pointing it out or just using pFe_{Bio_ATP}to avoid confusion.
Line 275: Figure 3a- How variable are the labile and lithogenic pFe? It may be helpful to plot the standard deviation at each depth with error bars.
Lines 282-284: The authors should consider plotting this data point on Figure 4c. Additionally, to exclude a data point as an outlier, a statistical method will be preferred.
Line 285: Figure 4b- Is this data point at (0,0) real or of bad quality? I can only see one bar with nonliving pFe as 0 in Figure 4a. When is the other zero nonliving pFe observed?
Line 285- Figure 4d- Is this correlation significant?
Lines 316: Figure 5g-i: The way biogenic pFe was calculated is different between this study (ATP method) and Sofen's method. The authors should consider labeling such differences clearly in the legend or captions.
Lines 355-357: For some reason, I cannot open any of these links. However, I can find the data page on BCO-DMO. It's weird, but the authors should make sure that all of these links work during revision.

Citation: https://doi.org/10.5194/egusphere-2025-6068-CC1
- AC3: 'Reply on CC1', Eleanor Bates, 13 Mar 2026
  
  We thank Dr. Xiang for their time and feedback. Please find our comment responses in the attached document.
  
  Citation: https://doi.org/10.5194/egusphere-2025-6068-AC3
RC2:
'Comment on egusphere-2025-6068', Anonymous Referee #2, 14 Feb 2026
Review of egusphere-2025-6068, “Biogenic and nonliving labile particulate iron in the subtropical North Pacific Ocean“ (Bates and Hawco)

(General Comments)
Estimation of biogenic and authigenic labile particulate Fe is important but challenging work. In previous studies, biogenic Fe fraction can be estimated based on Fe quotas and particulate organic carbon or phosphorus but the last two analytical fractions (C and N) contain organic detritus (e.g., dead cells, fecal pellets). According to the present authors’ idea on “biogenic” Fe (see below on terminology “biogenic”), the above approach can lead to overestimation of biogenic Fe. Instead, the authors introduce a new approach using particulate nucleotide adenosine-5’-triphosphate (ATP) to estimate “living organic carbon” to derive biogenic Fe. Labile particulate Fe minus this biogenic Fe was defined as “nonliving”, which was main labile pFe pool below the euphotic zone. These attempts are really fascinating. The authors also conducted Fe uptake experiments in the surface mixed layer on 12 cruises at Station ALOHA in the subtropical North Pacific for 3-year period coverage. The bulk Fe uptake rates increased with increasing Prochlorococcus and picoeukaryotes abundances. These data are important to understand the Fe availability for primary production in the subtropical North Pacific. Dataset is of good quality, mostly discussion is orderly, and the manuscript provides new findings and approach. Therefore, I highly evaluate these works and think the manuscript deserves to be published.
However, there are several points of concern including the terminology in this study. In this manuscript, the authors defined their “biogenic” Fe using particulate ATP as “living” because of the rapid hydrolysis of ATP in dead biomass. However, in previous studies (e.g. Sofen et al., 2023; Tagliabue et al., 2023), the “biogenic” particles reflect “biological uptake and accumulation in living biomass and differential remineralization from “dead biomass” (Sofen et al., 2023). I’m not so sure which definition is widely accepted, but I prefer to include dead biomass in the “biogenic fraction”. For example, I think Fe in freshly produced fecal pellets is “biogenic”. In the ocean, the term “biotic Fe” has sometime been used (e.g. Boyd et al., 2015), which might be better for this case (“living” biotic Fe). Thus, the authors should discuss the definition of “biogenic” and clarify the difference from the term in previous studies, like Sofen et al. (2023). Including the treatment of the term “biogenic”, several minor comments/questions to be addressed are given below:

Page 2, Line 36, “biogenic pFe pool”: Actually, the term “biotic” was used in Boyd et al. (2015). Please make sure of it.

Page 3, Line 64, “the biogenic and nonliving labile pFe pools”: Previous studies (Sofen et al., 2023) divided labile pFe to biogenic and authigenic fractions to understand the marine Fe cycles. Considering the “authigenic” fraction, I understand that the biogenic fraction includes fresh organic detrital materials. Why do the authors newly define “the living and nonliving labile pFe pools” in this study? Please clarify the reason here.

Page 5, Line 126 – 127, “uptake rates were similar in May for both 2021 and 2023”: How about cell counts of Prochlorococcus and picoeukaryote?

Page 5, Line 131 – 132, “Prochlorococcus and picoeukaryotes together make up the bulk of picophytoplankton biomass and primary production at Station ALOHA (Rii et al., 2016).”: According to Bates et al. (2015), particulate biogenic Si inventories in the upper 150 m showed marked increase in spring 2021. Did this reflect the diatom bloom? If so, was any feature found in Fe uptake ratio?

Page 8, Line 174 – 175, “The PC and PP approaches consistently overestimated pFe_Bio, which almost always exceeded measurements of pFe_Labile”: What will happen if the Redfield ratio was applied for this calculation? I’m not sure whether “biogenic Fe” should include organic detrital material or not. If the organic detrital material were included, the authors should consider wider ranges of the C:P ratio.

Page 9, Line 198, can incorporating heterotrophic bacteria lead to increase or decrease C:P ratio or negligible contribution? Although relevant data is given as spreadsheet, please clarify this.

Pages 7–9, Since several previous studies also estimate biogenic Fe including detrital organic matter (e.g., Sofen et al., 2023) and the present authors’ estimate is based on living organic carbon, so I think the use or definition of new terminology is necessary; e.g., “living biogenic Fe/ living biotic Fe” may be better than “biogenic Fe”. I think the term “biogenic” can include not only living but also dead material and fecal pellets etc. In my opinion, “biogenic Fe” should not be confined to what is obtained by the use of ATP.

Page 9, Line 217 – 219, “Recent work based on shipboard experiments and Prochlorococcus measurements supports the use of a 250 C:ATP ratio at Station ALOHA (Karl et al., 2022), in agreement with a variety of other field and laboratory studies of marine organisms”: In Howco et al. (2022), the contributions of both Prochlorococcus and heterotrophic bacteria were considered for Fe’ uptake in seawater. However, the C:ATP ratio in heterotrophic bacteria was not discussed here. The authors should mention the uncertainty of C:ATP ratio in heterotrophic bacteria.

Page 10, Line 240, “Overall, the ATP approach provides the most reasonable pFe_Bio estimates of the three approaches assessed.”: I’m not sure whether some biogenic fraction including fresh organic detrital materials should be categorized to “nonliving labile pFe” or not. Please explain the merit to consider fresh organic detrital materials and authigenic fraction together as “nonliving labile pFe”.

Page 11, Line 262, “euphotic zone”: Please indicate the approximate depths of euphotic zone.

Page 11, Line 272, “majority nonliving below the DCM”: Isn’t the heterotrophic bacteria included in this fraction?

Page 15, Line 324, Given comparable values of particulate biogenic Fe ranging 0.03–0.10 nM for ALOHA and 0.03–0.08 nM for BATS, and overestimates by 2023Sofen’s method including detrital organic materials, this leads to higher biogenic Fe at ALOHA than BATS. Is it possible to give a likely explanation for the higher biogenic Fe at ALOHA since this is an intriguing feature?

In Figure 5 and the caption, and LINE 325, “HOT” had better be replaced by “ALOHA” as I believe the former is the program/cruise name and the latter is the station name.

Page 15, Line 330, the description seems to state “overestimation comes from synchrotron X-ray fluorescence”. I believe it is ascribed to the use of organic P, not to X-ray fluorescence.
Citation: https://doi.org/10.5194/egusphere-2025-6068-RC2
- AC2: 'Reply on RC2', Eleanor Bates, 13 Mar 2026
  
  We thank the reviewer for their time and feedback. Please find our comment responses in the attached document.
  
  Citation: https://doi.org/10.5194/egusphere-2025-6068-AC2

Interactive discussion

Status: closed

RC1:
'Comment on egusphere-2025-6068', Anonymous Referee #1, 14 Jan 2026

Review of egusphere-2025-6068 “Biogenic and nonliving labile particulate iron in the subtropical North Pacific Ocean by Bates and Hawco.
Summary

This manuscript explores the composition and dynamics of labile particulate iron (pFe) in the subtropical North Pacific, focusing on the split between biogenic and nonliving fractions. To achieve this, the authors undertook iron (Fe) uptake experiments (using the Fe isotope double spike method) and carbon (C) uptake to estimate how much Fe and C are incorporated into cells. They then use Fe:C uptake ratios in combination with particulate organic carbon (POC), particulate organic phosphorus (PP) and ATPase to estimate biogenic pFe. To estimate labile iron, Bates and Hawco used the chemical leach method of Berger et al. (2008) to estimate easily mobilised Fe from biogenic and non-living material. Finally, they connect the two and determine that biogenic Fe accounts for approximately 60% of labile Fe in the mixed layer, with the rest being associated with nonliving matter.
Overall, the manuscript is generally well written. One bugbear is that the manuscript keeps directing the reader to other papers for DFe and associated data (see examples below). I realise that the data has been published, but it would be useful to include plots in the supporting materials; otherwise, the reader has to sift through articles to check the claims.
Specific comments

Line 96: Are you saying that at the end of the incubation, there was ~a 50:50 split of the FeDS between the dissolved and particulate phases? Or is this total - probably the total as you added ~ 50 pM.
Line 119-120: Where is the evidence to support this? Please reference a figure or table here - as a reader, I really don't want to have to search through other references for the data. It’s your data (Bates and Hawco, 2025), so this should be easy to generate. Perhaps you could add an extra couple of panels to Fig 1 showing the iron data or add a new figure. Or you could add a figure to the supplementary information showing the DFe data and reference it came from Bates and Hawco, 2025.
Line 122-123: Again, please don't make me read other papers to see the primary data you are referring to - show it here and then reference where it came from.
Line 129: What about Synechococcus? was that measured? It can also be an important player in tropical and subtropical waters. Certainly, it is often found at shallower depths than Prochlorococcus (Flombaum et al., 2013).
Line 134: Table S1 only show correlation data; perhaps you could show the population data for Prochlorococcus, Synechococcus, and picoeukaryotes at 25 m. That will allow the reader to check the data and the points about abundance made in the text.
Line 134: How about presenting the 14C data. It would be nice to see how it varied temporally. We only have the Fe:C ratio data.
Figure 1. Because you say that Prochlorococcus and picoeukaryotes dominate, is it possible to normalise the iron uptake to cell number to get an idea of uptake per cell? As you show in panels c-e, the strong coupling between uptake and Prochlorococcus and picoeukaryotes abundance indicates that it is driven by cell abundance, which is likely to vary seasonally. Based on the comments about the 14C data on lines 133 to 134, I assume that primary production (14C) and cell abundance are not coupled? It might be worth showing this as well.
Line 175: The assumption here is that the Berger method is getting all of the biogenic Fe - did you check the Fe/Al ratio for the labile and total pools to see if they jive with each other? Also, perhaps it should be mentioned that the Berger method was designed to look at labile iron from the Columbia River plume and coastal waters off the West Coast of the US. The values in that study were in the high nanomolar range for iron, whereas concentrations in the present work are subnanomolar. Since most of the iron in the present work is likely within organic molecules, dead and alive, it is possible that the Berger leach does not access this as molecules may need to be oxidised (noting the Berger leach is reducing) to break them down before iron can be accessed. Just a thought.
Figure 3, panel b. The unit nM needs to be removed as this is a fraction calculation.
Figure 4 caption. “…authigenic (navy)..” is mentioned, but the figure key is “Labile nonliving pFe”.
Line 303 – I like this, it's always good to compare to other regions.

References

Bates, E.S., Hawco, N.J., 2025. Dissolved Iron Seasonal Cycle and Residence Time in the North Pacific Subtropical Gyre. Geophysical Research Letters, 52(21): e2025GL118095.
Berger, C.J.M., Lippiatt, S.M., Lawrence, M.G., Bruland, K.W., 2008. Application of a chemical leach technique for estimating labile particulate aluminum, iron, and manganese in the Columbia River plume and coastal waters off Oregon and Washington. Journal of Geophysical Research-Oceans, 113.
Flombaum, P. et al., 2013. Present and future global distributions of the marine Cyanobacteria Prochlorococcus and Synechococcus. Proceedings of the National Academy of Sciences, 110(24): 9824-9829.

Citation: https://doi.org/10.5194/egusphere-2025-6068-RC1
- AC1: 'Reply on RC1', Eleanor Bates, 13 Mar 2026
  
  We thank the reviewer for their time and feedback. Please find our comment responses in the attached document.
  
  Citation: https://doi.org/10.5194/egusphere-2025-6068-AC1
CC1:
'Comment on egusphere-2025-6068', Yang Xiang, 15 Jan 2026

Comments to the authors:
Bates and Hawco present a well-written manuscript demonstrating the partition between different particulate iron (pFe) pools, especially biogenic and nonliving pFe, during seasonal cruises at Station ALOHA. Such work is of great significance given the increasing attention on the role of authigenic mineral phases in the overall surface Fe cycling. The authors have done a good job presenting and interpreting the seasonal variations of particulate Fe data. The use of ATP to estimate biogenic is novel and quite interesting. The manuscript is clear, thorough, and nearly free of typos. However, I do have some substantive comments and editorial remarks as listed below. Overall, I recommend publication with major revisions.
%----------------
Major interpretation points
I have two major comments.
Firstly, the authors made many assumptions in their estimations of biogenic pFe, many of which were not mentioned in the text. For example, the Fe:C uptake ratio used in Equations 3-5 does not necessarily equal the cellular Fe:C quotas (Fe:C) used in Sofen et al. (2023). The authors need to acknowledge this and be clear about their assumptions. Additionally, Sofen et al. (2023) used PP_Labile in their calculations, while the authors used bulk PP in Equation 4. The authors should have the leachable PP data since they did the Berger leach. Al-Hashem et al. (2022; 10.1029/2022GB007453) found up to 60% of PP that cannot be accessed with the Berger leach, for example. Since the authors are comparing their results with Sofen’s, it’s important to make sure the calculations have been conducted similarly. Otherwise, those results may not be directly comparable.
Secondly, some of the calculations are flawed. The use of PC in Equation 3 to estimate biogenic Fe is likely an overestimation. While phytoplankton production (uptake of dissolved inorganic carbon) is the dominant source of new organic matter in the open ocean, the standing stock of POC (here the authors use PC since those are the only data available) includes significant contributions from other sources. What about heterotrophic and allochthonous sources, for example? Based on the authors’ definition of biogenic pFe, the authors should possibly use phytoplankton carbon rather than total POC in Equation 3. Please refer to Graff et al. (2015; 10.1016/j.dsr.2015.04.006) for the nuances, with the former values much smaller.
%----------
Interpretation points, by line #
Lines 14-16: Do the authors have data or literature to show how much of a fraction is labile pFe in dust deposition at Station ALOHA? I assume that it's a relatively small fraction, right?
Lines 103-104: Are there any specific reasonings for using dFe at 25 m rather than the mean mixed layer concentrations? How different are dFe concentrations at 25 m and within the mixed layer?
Line 117: Are sinking particulate Fe data from sediment traps at Station ALOHA? I assume that data were also extracted from the HOT-DOGS. If so, please add the data source to section 2.3.
Lines 174-179: If carbon uptake rates (GPP) are underestimated by the ¹⁴C incubation experiments (values between GPP and NPP), the Fe:C uptake ratios will be overestimated. This could help decrease the pFe_Bio.
Lines 189-191: Assuming the rest of POC are phytoplankton carbon for simplicity, the actual pFe_{Bio_PC}will decrease by 58-74%, which will make pFe_{Bio_PC}much more similar to pFe_labile and pFe_{Bio_ATP}.
Lines 191-193: The way the Fe:C ratio is calculated is more like an average ratio with respect to the bulk pool of particles though. I don't think a lower Fe:C stoichiometry in detritus, a specific pool of particles, makes any difference to the overall calculation.
Lines 194-198: The authors could possibly quantify the effects from variations in phytoplankton community composition, since the C:P of living cells should range between 109 and 195 at Station ALOHA. With the minimum C:P_phyto we have, the pFe_{bio_pp}is likely overestimated by up to 50%, which will result in values more similar to pFe_labile, but not for all the data.
Lines 198-199: The exact reason will make equation 3 an overestimation of pFe_bio.
Line 242: If the authors name the remaining pool as nonliving, this implies what has been subtracted is "living". The pFe_bio is not necessarily pFe_living, right? Naming it as "non biogenic" is also not perfect, but it may be a better term. I agree that a more accurate term to name this pool of pFe is difficult…
Lines 247-258: The authors used a lot of text to explain how different their nonliving pFe is from the more common term used in the field, authigenic pFe. Their explanations rely on the fact that the operationally-defined Berger leach gets the pFe pool that is fully labile. What if the Berger leach also accesses some of the relatively reactive lithogenic pFe? Is that a possibility that could account for the differences and the similarity between pFe_nonliving and pFe_litho? Please clarify.
Lines 250-251: If dFe adsorb onto or somehow get incorporated into nonliving organic particles, they likely exist as authigenic Fe minerals, right?
Lines 272-274: This conclusion is likely not to hold. What about adsorption, disaggregation, and redox?
Lines 291-293: This could also account for the similarity between pFe_Bio and pFe_litho at Lines 272-274.
Lines 311-313: The summer-time dFe concentrations at BATS are much higher. I am not sure why such features were not discussed in the range of dFe.
Lines 316-320: Why not present the comparisons of labile pFe between BATS and Station ALOHA? It’s more meaningful than the derived parameters, which are prone to large uncertainties.
Lines 329-331: What if the authors conduct similar calculations as Sofen et al. (2023) by using their average Fe:C quota at Station ALOHA and labile PP, how will the values of biogenic and nonliving pFe change? Will this affect the conclusions? From what I can tell, Station ALOHA will possibly still have higher biogenic pFe within the mixed layer, but the values below 125 m will be potentially more comparable between these two sites.
%-----------------
Editorial remarks (by line #):
Lines 138-142: Figure 1a- It seems like the data point from August 2022 is the only one without any error bars. Why is that?
Line 260: I assume that the pFe_Bio hereafter is pFe_{Bio_ATP}. The authors should consider either pointing it out or just using pFe_{Bio_ATP}to avoid confusion.
Line 275: Figure 3a- How variable are the labile and lithogenic pFe? It may be helpful to plot the standard deviation at each depth with error bars.
Lines 282-284: The authors should consider plotting this data point on Figure 4c. Additionally, to exclude a data point as an outlier, a statistical method will be preferred.
Line 285: Figure 4b- Is this data point at (0,0) real or of bad quality? I can only see one bar with nonliving pFe as 0 in Figure 4a. When is the other zero nonliving pFe observed?
Line 285- Figure 4d- Is this correlation significant?
Lines 316: Figure 5g-i: The way biogenic pFe was calculated is different between this study (ATP method) and Sofen's method. The authors should consider labeling such differences clearly in the legend or captions.
Lines 355-357: For some reason, I cannot open any of these links. However, I can find the data page on BCO-DMO. It's weird, but the authors should make sure that all of these links work during revision.

Citation: https://doi.org/10.5194/egusphere-2025-6068-CC1
- AC3: 'Reply on CC1', Eleanor Bates, 13 Mar 2026
  
  We thank Dr. Xiang for their time and feedback. Please find our comment responses in the attached document.
  
  Citation: https://doi.org/10.5194/egusphere-2025-6068-AC3
RC2:
'Comment on egusphere-2025-6068', Anonymous Referee #2, 14 Feb 2026
Review of egusphere-2025-6068, “Biogenic and nonliving labile particulate iron in the subtropical North Pacific Ocean“ (Bates and Hawco)

(General Comments)
Estimation of biogenic and authigenic labile particulate Fe is important but challenging work. In previous studies, biogenic Fe fraction can be estimated based on Fe quotas and particulate organic carbon or phosphorus but the last two analytical fractions (C and N) contain organic detritus (e.g., dead cells, fecal pellets). According to the present authors’ idea on “biogenic” Fe (see below on terminology “biogenic”), the above approach can lead to overestimation of biogenic Fe. Instead, the authors introduce a new approach using particulate nucleotide adenosine-5’-triphosphate (ATP) to estimate “living organic carbon” to derive biogenic Fe. Labile particulate Fe minus this biogenic Fe was defined as “nonliving”, which was main labile pFe pool below the euphotic zone. These attempts are really fascinating. The authors also conducted Fe uptake experiments in the surface mixed layer on 12 cruises at Station ALOHA in the subtropical North Pacific for 3-year period coverage. The bulk Fe uptake rates increased with increasing Prochlorococcus and picoeukaryotes abundances. These data are important to understand the Fe availability for primary production in the subtropical North Pacific. Dataset is of good quality, mostly discussion is orderly, and the manuscript provides new findings and approach. Therefore, I highly evaluate these works and think the manuscript deserves to be published.
However, there are several points of concern including the terminology in this study. In this manuscript, the authors defined their “biogenic” Fe using particulate ATP as “living” because of the rapid hydrolysis of ATP in dead biomass. However, in previous studies (e.g. Sofen et al., 2023; Tagliabue et al., 2023), the “biogenic” particles reflect “biological uptake and accumulation in living biomass and differential remineralization from “dead biomass” (Sofen et al., 2023). I’m not so sure which definition is widely accepted, but I prefer to include dead biomass in the “biogenic fraction”. For example, I think Fe in freshly produced fecal pellets is “biogenic”. In the ocean, the term “biotic Fe” has sometime been used (e.g. Boyd et al., 2015), which might be better for this case (“living” biotic Fe). Thus, the authors should discuss the definition of “biogenic” and clarify the difference from the term in previous studies, like Sofen et al. (2023). Including the treatment of the term “biogenic”, several minor comments/questions to be addressed are given below:

Page 2, Line 36, “biogenic pFe pool”: Actually, the term “biotic” was used in Boyd et al. (2015). Please make sure of it.

Page 3, Line 64, “the biogenic and nonliving labile pFe pools”: Previous studies (Sofen et al., 2023) divided labile pFe to biogenic and authigenic fractions to understand the marine Fe cycles. Considering the “authigenic” fraction, I understand that the biogenic fraction includes fresh organic detrital materials. Why do the authors newly define “the living and nonliving labile pFe pools” in this study? Please clarify the reason here.

Page 5, Line 126 – 127, “uptake rates were similar in May for both 2021 and 2023”: How about cell counts of Prochlorococcus and picoeukaryote?

Page 5, Line 131 – 132, “Prochlorococcus and picoeukaryotes together make up the bulk of picophytoplankton biomass and primary production at Station ALOHA (Rii et al., 2016).”: According to Bates et al. (2015), particulate biogenic Si inventories in the upper 150 m showed marked increase in spring 2021. Did this reflect the diatom bloom? If so, was any feature found in Fe uptake ratio?

Page 8, Line 174 – 175, “The PC and PP approaches consistently overestimated pFe_Bio, which almost always exceeded measurements of pFe_Labile”: What will happen if the Redfield ratio was applied for this calculation? I’m not sure whether “biogenic Fe” should include organic detrital material or not. If the organic detrital material were included, the authors should consider wider ranges of the C:P ratio.

Page 9, Line 198, can incorporating heterotrophic bacteria lead to increase or decrease C:P ratio or negligible contribution? Although relevant data is given as spreadsheet, please clarify this.

Pages 7–9, Since several previous studies also estimate biogenic Fe including detrital organic matter (e.g., Sofen et al., 2023) and the present authors’ estimate is based on living organic carbon, so I think the use or definition of new terminology is necessary; e.g., “living biogenic Fe/ living biotic Fe” may be better than “biogenic Fe”. I think the term “biogenic” can include not only living but also dead material and fecal pellets etc. In my opinion, “biogenic Fe” should not be confined to what is obtained by the use of ATP.

Page 9, Line 217 – 219, “Recent work based on shipboard experiments and Prochlorococcus measurements supports the use of a 250 C:ATP ratio at Station ALOHA (Karl et al., 2022), in agreement with a variety of other field and laboratory studies of marine organisms”: In Howco et al. (2022), the contributions of both Prochlorococcus and heterotrophic bacteria were considered for Fe’ uptake in seawater. However, the C:ATP ratio in heterotrophic bacteria was not discussed here. The authors should mention the uncertainty of C:ATP ratio in heterotrophic bacteria.

Page 10, Line 240, “Overall, the ATP approach provides the most reasonable pFe_Bio estimates of the three approaches assessed.”: I’m not sure whether some biogenic fraction including fresh organic detrital materials should be categorized to “nonliving labile pFe” or not. Please explain the merit to consider fresh organic detrital materials and authigenic fraction together as “nonliving labile pFe”.

Page 11, Line 262, “euphotic zone”: Please indicate the approximate depths of euphotic zone.

Page 11, Line 272, “majority nonliving below the DCM”: Isn’t the heterotrophic bacteria included in this fraction?

Page 15, Line 324, Given comparable values of particulate biogenic Fe ranging 0.03–0.10 nM for ALOHA and 0.03–0.08 nM for BATS, and overestimates by 2023Sofen’s method including detrital organic materials, this leads to higher biogenic Fe at ALOHA than BATS. Is it possible to give a likely explanation for the higher biogenic Fe at ALOHA since this is an intriguing feature?

In Figure 5 and the caption, and LINE 325, “HOT” had better be replaced by “ALOHA” as I believe the former is the program/cruise name and the latter is the station name.

Page 15, Line 330, the description seems to state “overestimation comes from synchrotron X-ray fluorescence”. I believe it is ascribed to the use of organic P, not to X-ray fluorescence.
Citation: https://doi.org/10.5194/egusphere-2025-6068-RC2
- AC2: 'Reply on RC2', Eleanor Bates, 13 Mar 2026
  
  We thank the reviewer for their time and feedback. Please find our comment responses in the attached document.
  
  Citation: https://doi.org/10.5194/egusphere-2025-6068-AC2

Peer review completion

AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload

ED: Publish subject to minor revisions (review by editor) (21 Mar 2026) by Koji Suzuki

AR by Eleanor Bates on behalf of the Authors (25 Mar 2026) Author's response Author's tracked changes Manuscript

ED: Publish subject to technical corrections (02 Apr 2026) by Koji Suzuki

AR by Eleanor Bates on behalf of the Authors (08 Apr 2026) Manuscript

Journal article(s) based on this preprint

08 May 2026

Living and nonliving particulate iron in the subtropical North Pacific Ocean

Eleanor S. Bates and Nicholas J. Hawco

Biogeosciences, 23, 3059–3072, https://doi.org/10.5194/bg-23-3059-2026,https://doi.org/10.5194/bg-23-3059-2026, 2026

Short summary

Eleanor S. Bates and Nicholas J. Hawco

Supplement

https://doi.org/10.5194/egusphere-2025-6068-supplement

Eleanor S. Bates and Nicholas J. Hawco

Viewed

Total article views: 2,461 (including HTML, PDF, and XML)

HTML	PDF	XML	Total	Supplement	BibTeX	EndNote
1,690	560	211	2,461	247	268	310

HTML: 1,690
PDF: 560
XML: 211
Total: 2,461
Supplement: 247
BibTeX: 268
EndNote: 310

Views and downloads (calculated since 23 Dec 2025)

Month	HTML	PDF	XML	Total
Dec 2025	415	150	45	610
Jan 2026	566	225	65	856
Feb 2026	267	71	16	354
Mar 2026	367	78	81	526
Apr 2026	48	22	1	71
May 2026	27	13	3	43
Jun 2026	1	0	1

Cumulative views and downloads (calculated since 23 Dec 2025)

Month	HTML	PDF	XML	Total
Dec 2025	415	150	45	610
Jan 2026	566	225	65	856
Feb 2026	267	71	16	354
Mar 2026	367	78	81	526
Apr 2026	48	22	1	71
May 2026	27	13	3	43
Jun 2026	1	0	1

Viewed (geographical distribution)

Total article views: 2,433 (including HTML, PDF, and XML) Thereof 2,433 with geography defined and 0 with unknown origin.

Country	#	Views	%

Latest update: 08 Jun 2026

Download

The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.

Preprint (957 KB)
Metadata XML

Short summary

The composition of the particulate Fe (pFe) pool influences the fate of Fe in the upper ocean. Using Fe uptake experiments and living biomass estimates, we show that over half of chemically labile pFe in the surface ocean is stored in living cells. The rest appears to be driven by contributions from dust or in situ mineral precipitation onto dust particles. The large biogenic component here compared to the North Atlantic supports previously reported high biotic Fe recycling at Station ALOHA.


Total:	0
HTML:	0
PDF:	0
XML:	0