Articles | Volume 23, issue 4
https://doi.org/10.5194/bg-23-1423-2026
© Author(s) 2026. This work is distributed under the Creative Commons Attribution 4.0 License.
Multi-stress interaction effects on BVOC emission fingerprints from Oak and Beech: A cross-investigation using Machine Learning and Positive Matrix Factorization
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- Final revised paper (published on 24 Feb 2026)
- Supplement to the final revised paper
- Preprint (discussion started on 26 Aug 2025)
- Supplement to the preprint
Interactive discussion
Status: closed
Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor
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RC1: 'Comment on egusphere-2025-3779', Anonymous Referee #1, 25 Sep 2025
- AC1: 'Reply on RC1', Eva Y. Pfannerstill, 27 Oct 2025
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RC2: 'Comment on egusphere-2025-3779', Anonymous Referee #2, 26 Sep 2025
- AC2: 'Reply on RC2', Eva Y. Pfannerstill, 27 Oct 2025
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) (14 Nov 2025) by Kerneels Jaars
ED: Reconsider after major revisions (20 Nov 2025) by Kerneels Jaars
AR by Eva Y. Pfannerstill on behalf of the Authors (21 Nov 2025)
Author's response
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ED: Referee Nomination & Report Request started (02 Dec 2025) by Kerneels Jaars
RR by Anonymous Referee #1 (28 Jan 2026)
ED: Publish as is (10 Feb 2026) by Kerneels Jaars
AR by Eva Y. Pfannerstill on behalf of the Authors (13 Feb 2026)
Manuscript
Review for manuscript entitled, “Multi-stress interaction effects on BVOC emission fingerprints from oak and beech: A cross-investigation using machine learning and positive matrix factorization” by Dey et al
The manuscript describes the effect of heat and elevated ozone exposure treatments on the BVOC emissions from one species of oak and one species of beech. The apply the treatments in series on the same set of individuals. The order of the stress treatment application is different for the two species and, as far as I can tell, they only have one set of experiments for each tree species. They use a couple different analytical tools to identify particular BVOCs that are associated with the stressor/species. The topic is timely and interesting since the effects of stress (including multiple interactive stressors) on BVOC emission rates and composition has been a major challenge in the research community for decades. The use of these new analytical tools is novel and could provide a roadmap for others in this field to pursue. However, there are some flaws in the experimental design and data visualization that need to be addressed. The flaws in the experimental design make it very challenging to use this data to draw many conclusions about stress effects on BVOC emission responses and I wonder if this would be more effectively framed as a proof-of-concept for the novel analytical methods employed – as a measurement techniques paper rather than a science paper. Furthermore, the introduction is missing critical information on a topic highly relevant to the study that needs to be included. I recommend major revisions before this could be accepted for publication and am not convinced that this is the correct journal for the work given the flaws in design.
MAJOR COMMENTS
Introduction – some of the citations in the introduction are not appropriately referenced. For example, they cite the Penuelas & Llusia paper from 2004 to state there are 30,000 identified BVOCs. However, the cited paper is not an original research publication but is actually more of an “opinion” or “letter” about a couple other recently published papers. In the “opinion” piece, the authors do state there are 30,000 identified compounds, but they provide no citation for this statement. I would encourage the authors to reference a paper with actual scientific evidence that supports the statement. Another example is their citation of the Palm et al., 2018 paper to state that hydroxyl radical and ozone are the dominant atmospheric oxidants that react with BVOCs. The referenced paper is about an OFR study conducted in the Amazon where they oxidize BVOCs with OH and/or ozone to study SOA formation; the study is not addressing any science question about which oxidants (out of all atmospheric oxidants) are primarily responsible for reacting with BVOCs. There are papers that address that question and those would be more appropriate to cite in this context. One could even just cite well-known atmospheric chemistry textbooks to make this statement, such as the Pitts & Pitts textbook or Seinfeld & Pandis’ well-known reference book on atmospheric chemistry and physics. I will not go through each and every citation in the introduction, but there were a few that stood out to me as a red flag with this type of inappropriate referencing. Please double-check your citations.
Introduction – references to the ecological function of terpenes as imparting thermotolerance through membrane stability should be considered carefully. The foundation for this assertion is grounded in old seminar papers out of Tom Sharkey’s group, and he has recently published a paper now claiming that isoprene cannot possibly impart thermotolerance by stabilizing membranes because there just isn’t enough of it present in membranes to appreciably alter membrane fluidity. However, he has also written a recent review that still claims this is a function of isoprene. Ultimately, it sounds like this is a slightly more controversial function than some of the many others that have more ample support. Either way, I encourage you to cite the more recent works with updated information. The paper stating that isoprene cannot possibly impart membrane stability is #1 below and the more recent review is #2 below.
#1 - https://link.springer.com/article/10.1007/s10863-015-9625-9
#2 - https://www.cell.com/trends/plant-science/abstract/S1360-1385(25)00132-3
Introduction - This intro is missing a summary of the work that has already been done on multiple stressor effects, though. I agree it is more rare than studies of stressors in isolation, but there are some papers out there that are interesting and informative. Since the entire rationale for this study is filling knowledge gaps related to the effect of interacting stressors on BVOC emission rates and composition, it is absolutely critical to include a summary of those findings. There has been work in the Kuopio group (Holopainen and Blande) as well as the Sharkey lab on this topic. Please add this information to your introduction. In my opinion, this is much more important to include than a summary of the biochemistry. If you are worried about space, you could easily cut down the biochemistry review to a couple sentences and focus more on this information related to interacting stressors which is MUCH more relevant and useful. This information is particularly useful for thinking about how competing stressors could alter plant physiology. Essentially, stressors could be additive, one could dominate the response over the other, or there could be some non-linear synergistic effect of both stressors combined. Establishing this sort of framework for the study should be priority #1. Here is a non-comprehensive list of some papers that could be included in this summary and these papers likely have other references within to follow up with additional papers on the topic.
#1 - heat and CO2 combined: https://www.frontiersin.org/journals/forests-and-global-change/articles/10.3389/ffgc.2019.00008/full
#2 - plant responses to multiple air pollutants: https://onlinelibrary.wiley.com/doi/abs/10.1111/plb.12953
#3 - ozone + herbivory: https://royalsocietypublishing.org/doi/full/10.1098/rspb.2022.0963
Figure 1 – First, I really like this figure for describing the experimental design. Very clear and well done. However, I do have some questions about the experimental design. The figure indicates that beech were exposed to ozone stress, then the combined stress, and then just the heat stress while oak had a different sequence (ozone then heat and then combined). It also appears that these stress exposures were conducted just once for each of the tree species (again, with a different sequence of stressors for the different species). Finally, the series of stress treatments appears to have been imposed on the same set of individuals, correct? If all of this is correct, can you comment on the decision to implement these stressors in sequence rather than using new individuals for each of the different treatments? It is a non-traditional approach to this type of study and makes it difficult to interpret results since prior stress exposure can have lingering effects on subsequent stress responses. Furthermore, the decision to change the order of the stressors for the different plant species is incredibly problematic for making comparisons about stress response between the species. I think this design needs some additional context because it is not only studying the impact of combined stressors. It is studying the impact of repeated exposures to different stressors which is a different question than was suggested in the introduction. Again, the authors should conduct a thorough literature review on the topic of repeated stress exposures to provide adequate context for how this would be expected to influence plant responses. It is unclear to me how you would even tease apart any differences in the responses observed between the two different species. Any effect could be related to differences in species-specific responses OR it could be related to the effect of the stress sequence. You won’t know!
Line 149 – authors state that they selected the six “healthiest” individuals from each set of plants they had. Please elaborate on how this was determined. “healthiest” as determined by what metric?
Line 155 – some papers suggest that ozone exposure stress responses can recover quite quickly, even within 24 hours. This is another example where having conducted a more thorough literature review on the topic could have informed an improved experimental design. I understand the issue about not wanting to include reaction products in the measurement of emissions, but this is often why it is necessary to have two separate chambers – one chamber for the ozone exposure and a separate one for the BVOC measurement. At the very least, you should discuss the possibility that the ozone response could be missed with this design if the plants recovered quickly.
Line 176 – More recent papers on BVOC emissions typically refer to the measurement as an emission rate measurement rather than a “flux.” I think this vocabulary has changed a bit over the decades with the massive expansion of the flux research community. The term, flux, is now often associated with eddy covariance measurements at much larger scales than the leaf, branch, or even a few individuals (as you have here). I understand this is just semantics, but it is something to think about when communicating your science because the term, flux, could be confusing in this context to some of your intended audience.
Line 218-219 – what are these “known contaminant” compounds that you eliminated from analysis?
Line 250 – this line raised a red flag...it reads that the decision was somewhat subjective if something was retained. Perhaps a little more detail on how something could be determined to be "biologically" justified would improve the rationale.
Figure 2 - I am struggling with this figure. I think it is trying to do too much. There are a couple different questions one could ask that I think would benefit from separate figures. The first is related to a comparison of the pre-stress emission rates of different types of compound classes and/or the effect of the stressor on the actual emission rate values of different BVOCs. The second question is related to comparisons in the diel profile. The latter seems to be the focus of the text discussion about this figure, but it is not the clearest way to visualize this. One could normalize the emission to maximum and then plot multiple curves on the same graph to more effectively make these comparisons. Other criticisms include - the shaded region is very difficult to see and the shaded regions for "std deviation" are also often very difficult to see. I think Figure 3 actually works great for addressing question 1 in my comment. So I also think Figure 2 could be normalized to "max emission" set to a value of 1 to compare the diel trends between the different tree species and treatments. It would be more effective as a visualization to address that particular question. And I would probably also present this figure 3 first followed by the diel trend info as a more logical flow of information.
Table 1 - This would be a more effective visualization as a figure. Alternatively, some shading of the boxes could help as well - one color for increase and another color for decrease. Otherwise, it is difficult to pull out clear patterns from a table of numbers.
Line 389 – Yes, conducting the ozone exposure in the dark when stomatal uptake is substantially reduced does seem to be a major flaw in experimental design. Also, ozone levels tend to be highest in the afternoon so it is a mismatch between a real-world context of what the plants would experience and how the treatment was applied during the experiment.
Line 401-402 – you do not have the observations to support this statement. Just because the heat stress had the largest effect on both plant species does not mean the plant would have responded to the combined stress differently if the stressors were imposed in a different order. You have ONE set of experiments for each of the plant species and they had a different sequence of stress exposures. You have no idea if the response to heat or combined stress would have been different if the sequence was altered.
Line 410 – I don’t understand this unit, “per square millisecond?” I think you need to add a space between the m and the s.
Figure 4 – Is this mass-based or mole-based? I think it is molar based on Figure 5, but it should be clarified in the Figure 4 caption as well.
Section 3.4 - This is a relatively new tool for this particular field so I think you should provide a bit more explanation about what these different metrics mean and how the reader should be interpreting these figures. Very little text is devoted to explaining how to interpret Figure 6, for example. Elaborate please.
Line 524-527 - It would be useful to know how much of the total signal these identified "Stress markers" contributed. Are they still tiny components of the overall composition, which would make them difficult to use as an ambient measurement marker of plant stress? Or did they contribute to a substantial portion of the total signal following the stress exposure?
Line 529 - why are you referencing the Figure 6 Upset plot after discussing Figure 7? This was ordered in a confusing way. Perhaps this would be resolved with some additional discussion about Figure 6 before moving on to Figure 7.
Figures 8-9: These figures are really messy and need to be cleaned up. I think you could move the mass spectra of the individual factors to the supplement and focus on the more meaningful info for the context of this study, which is the compounds that comprise the different factors (shown in C). I don't understand what the inset is showing in C, though. Please make that clearer.
MINOR COMMENTS
Line 159: Do these “heat stress” values represent something meaningful? Values reached during some typical heatwave or something? Please provide additional context.
Line 324 – again, please cite more recent Sharkey group papers. The thinking on this is evolving.
Table 2 - the symbol in the table doesn't look like the same symbol in the caption for PMF. It is also interesting that PMF never identified a fingerprint compound that ML did not, but ML did identify some ozone stress fingerprints that were not picked up by PMF. Perhaps discuss this a bit more in the text.