Peer Review History

Original SubmissionJune 18, 2019
Decision Letter - James N. McNair, Editor

PONE-D-19-17270

Plant mediated community structure of spring-fed, coastal rivers

PLOS ONE

Dear Dr. Lauretta,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, I feel that it has considerable merit but does not yet fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, I invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

Please be aware that, due to difficulty in securing a second outside reviewer, and to avoid any further delay, I chose to provide the second review by reviewing your manuscript myself. To ensure transparency, my review is clearly identified as being by me. I reviewed your manuscript prior to reading the comments by Reviewer 1, so my comments are independent of that reviewer's.

As noted above, I am asking that you prepare and submit a revised version of your manuscript. I characterized the requested revision as a major rather than minor revision because one of the recommended changes requires you to recalculate your measures of prediction error or model fit for scenarios 1 through 4.

In preparing your revision, please respond to each issue raised by Reviewer 1 and myself in our reviews. Most of these are minor issues that merely require clarification or rephrasing of various parts of the text. Three more-substantive issues I wish to highlight are the following:

1. As I explain in my review, I think it is important that you modify your measure of prediction error (or goodness of fit) to make it dimensionless, since terms in the current X^2 formula do not share the same physical dimensions and therefore should not be added. I suggest a simple alternative in my review. This change requires recalculation of the values listed in Table 6, but I will be surprised if it changes your conclusions.

2. Please clarify in the text that you are not performing statistical model selection or statistical goodness-of-fit assessments, and therefore no formal tests of statistical significance are performed. Both Reviewer 1 and I were initially puzzled by the way you currently describe your measure of goodness of fit. By calling it "chi-squared" and stating in the abstract that you perform "goodness-of-fit tests", you suggest to readers that you are performing chi-squared tests of statistical significance, but you actually do not do that.

3. Please be sure to address the question by Reviewer 1 regarding availability of all data from your study.

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We look forward to receiving your revised manuscript.

Kind regards,

James N. McNair, Ph.D.

Academic Editor

PLOS ONE

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Additional Editor Comments (if provided):

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Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Partly

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2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

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3. Have the authors made all data underlying the findings in their manuscript fully available?

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Reviewer #1: No

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4. Is the manuscript presented in an intelligible fashion and written in standard English?

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Reviewer #1: Yes

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5. Review Comments to the Author

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Reviewer #1: The manuscript appeared to be technically sound with the overall conclusions supported by the modeling results. Nevertheless, I did have two questions regarding the interpretation of results. (a) Is it problematic that none of the models seem to be similar to the Chassahowitka River? Why were the results of Model 1 not more similar to the Chassahowitka River (see Fig. 6)? (b) From a philosophical perspective, what if all the models you tested were "bad"? How would those results differ from what was found? The approach seems to evaluate which is the best model among the ones tested, but how do we know if any of the models are "good"?

The Ecopath/Ecosim modeling seemed appropriate as well as the approach used to evaluate competing models. I initially expected AIC to be used to evaluate models, but it is not straightforward to me how such an approach could be implemented given the structure of the models being evaluated. Some clarifications are warranted, especially for readers that do not have a deep understand of Ecopath/Ecosim. (a) P/B and Q/B ratios should be clearly defined in Table 2. Make sure Walters et al. (2008), which is cited in Table 2, is listed in the references. (b) Provide more context for interpreting the Chi-squared statistics reported in Table 6. What do small and large values indicate? What is the null hypothesis underlying the Chi-squared statistic? Is there a way to calculate p-values for the total Chi-squared statistics? How common is this type of approach (i.e., using Chi-squared statistics) for evaluating these types of models? (c) Can you provide context for why a bootstrapping procedure was used for estimating mean trophic group biomass (Lines 167-168)?

The data from the modeling output do not seem to be fully available. If this is the case, then this should be easily addressed by providing the output in supporting information.

Overall, the manuscript was well written and easy to follow. The quality of Figures 4, 6, and 7 made interpretation difficult, but this was likely the result of the file I printed.

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Reviewer #1: No

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Attachments
Attachment
Submitted filename: Ms_Review.pdf
Revision 1

All requested and suggested revisions were made to the manuscript. Please refer to the response to reviewers for detailed descriptions of the revisions and response to editor comments.

Attachments
Attachment
Submitted filename: Response to reviewers.docx
Decision Letter - James N. McNair, Editor

Plant-mediated community structure of spring-fed, coastal rivers

PONE-D-19-17270R1

Dear Dr. Lauretta,

I am pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it complies with all outstanding technical requirements.

Within one week, you will receive an e-mail containing information on the amendments required prior to publication. When all required modifications have been addressed, you will receive a formal acceptance letter and your manuscript will proceed to our production department and be scheduled for publication.

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Thank you for submitting your work to PLOS ONE.

With kind regards,

James N. McNair, Ph.D.

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

Reviewers' comments:

Formally Accepted
Acceptance Letter - James N. McNair, Editor

PONE-D-19-17270R1

Plant-mediated community structure of spring-fed, coastal rivers

Dear Dr. Lauretta:

I am pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department.

If your institution or institutions have a press office, please notify them about your upcoming paper at this point, to enable them to help maximize its impact. If they will be preparing press materials for this manuscript, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org.

For any other questions or concerns, please email plosone@plos.org.

Thank you for submitting your work to PLOS ONE.

With kind regards,

PLOS ONE Editorial Office Staff

on behalf of

Dr. James N. McNair

Academic Editor

PLOS ONE

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