Peer Review History
| Original SubmissionSeptember 17, 2021 |
|---|
|
Dear Mr. Campeau, Thank you very much for submitting your manuscript "The evolutionary maintenance of Lévy flight foraging: a numerical simulation." for consideration at PLOS Computational Biology. As with all papers reviewed by the journal, your manuscript was reviewed by members of the editorial board and by several independent reviewers. The reviewers appreciated the attention to an important topic. Based on the reviews, we are likely to accept this manuscript for publication, providing that you modify the manuscript according to the review recommendations. Please prepare and submit your revised manuscript within 30 days. If you anticipate any delay, please let us know the expected resubmission date by replying to this email. When you are ready to resubmit, please upload the following: [1] A letter containing a detailed list of your responses to all review comments, and a description of the changes you have made in the manuscript. Please note while forming your response, if your article is accepted, you may have the opportunity to make the peer review history publicly available. The record will include editor decision letters (with reviews) and your responses to reviewer comments. If eligible, we will contact you to opt in or out [2] Two versions of the revised manuscript: one with either highlights or tracked changes denoting where the text has been changed; the other a clean version (uploaded as the manuscript file). Important additional instructions are given below your reviewer comments. Thank you again for your submission to our journal. We hope that our editorial process has been constructive so far, and we welcome your feedback at any time. Please don't hesitate to contact us if you have any questions or comments. Sincerely, Marcos Gomes Eleuterio da Luz, Ph.D. Guest Editor PLOS Computational Biology James O'Dwyer Deputy Editor PLOS Computational Biology *********************** A link appears below if there are any accompanying review attachments. If you believe any reviews to be missing, please contact ploscompbiol@plos.org immediately: [LINK] Reviewer's Responses to Questions Comments to the Authors: Please note here if the review is uploaded as an attachment. Reviewer #1: It is widely accepted that Levy flights and walks can optimize random searches. The Levy flight foraging hypothesis holds that therefore natural selection must have led to adaptations for Levy walks, etc. This is an old problem that has already been studied extensively. However, this is not the problem posed by the authors here. Instead, they ask a different but related question, viz., about the "maintenance of Lévy flight foraging through evolutionary processes." The main result is that, based on numerical simulations, the authors report evidence in favor of the adaptationist viewpoint, rather then the emergentist explanation for observed Levy walks. The authors report zero evidence for the latter. By studying multipled generations, it is shown that Levy-type behavior is "is perhaps a deep, evolutionarily conserved trait." In addition to the main text, there are supplementary materials (including figs S1 and S2 and an appendix, as well as zipped archives). The results are quite impressive and I recommend publication as is. This is a very nice paper indeed. There is only one point that I did not understand enough: the use of geometric rather than arithmetic means. We all know that there are different kinds of means, including harmonic means. But after page 5 there is no more mention of geometric means until page 22. If the authors can explain this point better it would be quite useful to the reader. Minor points: ** Is the terminology of intrinsic vs. extrinsic hypotheses new? This should be clearly stated. I have only heard of these previously referred to as the adaptationist vs. the emergentist viewpoints, and so forth. ** The page number for ref. 71 is 182--211. I did not know this paper and found it very interesting to read. ** As mentioned above was not able fully to understand the difference between geometric and arithmetic mean fitness in this context. Perhaps the authors can further explain this a little bit better. Reviewer #2: The evolutionary maintenance of Lévy flight foraging: a numerical simulation. PCOMPBIOL-D-21-01701 This is without doubt an interesting modelling exercise where the authors give "evolutionary" support to the Lévy Flight Foraging Hypothesis based on random searching when resources are sparse and no memory is involved. The main results are that Lévy Flights are often the selected outcome of a sort of genetic algorithm. However Brownian motion overcomes LF, sometimes. This fact is well addressed and necessary explanation is given when this is the case. The paper is well written. I have some minor comments that must be addressed before this paper can be accepted. 1. It is said in the abstract that "Lévy flight is a type of random walk that models the behaviour of many phenomena across a multiplicity of academic disciplines''. I disagree with this sentence since LF are a natural phenomenon and not models. I suggest instead "Lévy flight is a type of random walk present in the behaviour of many natural phenomena across a multiplicity of academic disciplines." 2. Even though the possibility of the emergent nature of Lévy flight is mentioned, its treatment is somewhat sloppy. I suggest in order to give more punch to the paper and to show that the authors handle well the literature, that the following papers on deterministic walks be read and discussed either at the introduction or the conclusions:[Ref1] Lima, Gilson F., Alexandre S. Martinez, and Osame Kinouchi. "Deterministic walks in random media." Physical Review Letters 87.1 (2001): 010603.[Ref2] Boyer, Denis, et al. "Scale-free foraging by primates emerges from their interaction with a complex environment." Proceedings of the Royal Society B: Biological Sciences 273.1595 (2006): 1743-1750. 3. Line 425: "Organisms with Brownian behaviour have a higher probability of re-visiting the same resource and their behaviour may be optimal for shorter lifespans, but with sufficient time they would diffuse into empty space reducing the probability of re-visits. A Lévy-like exponent, however, would have a higher probability of leaving that empty space and eventually encountering resources." There is a paper demonstrating this fact but that has been ignored:[Ref3] Dannemann, Teodoro, Denis Boyer, and Octavio Miramontes. "Lévy flight movements prevent extinctions and maximize population abundances in fragile Lotka–Volterra systems." Proceedings of the National Academy of Sciences 115.15 (2018): 3794-3799. 4. First sentence of the conclusion is misleading and there is indeed lack of general evidence through the paper to claim this as true: "These results provide evidence that the intrinsic (please correct the typo) hypothesis is a sufficient explanation for Levy-like behaviour: Lévy flight is the result of selection for behavioural adaptations, rather than an emergent phenomenon due to the encounters within an environment’s distribution of resources." [Ref2] gives enough theoretical evidence that the distribution of resources modulates the searching strategy resulting in emergent movement patterns. Perhaps the authors would like to explain under which particular and specific circumstances their claim is true and tone it down consequently. ********** Have the authors made all data and (if applicable) computational code underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data and code underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data and code should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data or code —e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #1: None Reviewer #2: Yes ********** PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: No Reviewer #2: No Figure Files: While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email us at figures@plos.org. Data Requirements: Please note that, as a condition of publication, PLOS' data policy requires that you make available all data used to draw the conclusions outlined in your manuscript. Data must be deposited in an appropriate repository, included within the body of the manuscript, or uploaded as supporting information. This includes all numerical values that were used to generate graphs, histograms etc.. For an example in PLOS Biology see here: http://www.plosbiology.org/article/info%3Adoi%2F10.1371%2Fjournal.pbio.1001908#s5. Reproducibility: To enhance the reproducibility of your results, we recommend that you deposit your laboratory protocols in protocols.io, where a protocol can be assigned its own identifier (DOI) such that it can be cited independently in the future. Additionally, PLOS ONE offers an option to publish peer-reviewed clinical study protocols. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols References: Review your reference list to ensure that it is complete and correct. If you have cited papers that have been retracted, please include the rationale for doing so in the manuscript text, or remove these references and replace them with relevant current references. Any changes to the reference list should be mentioned in the rebuttal letter that accompanies your revised manuscript. If you need to cite a retracted article, indicate the article’s retracted status in the References list and also include a citation and full reference for the retraction notice. |
| Revision 1 |
|
Dear Mr. Campeau, We are pleased to inform you that your manuscript 'The evolutionary maintenance of Lévy flight foraging' has been provisionally accepted for publication in PLOS Computational Biology. Before your manuscript can be formally accepted you will need to complete some formatting changes, which you will receive in a follow up email. A member of our team will be in touch with a set of requests. Please note that your manuscript will not be scheduled for publication until you have made the required changes, so a swift response is appreciated. IMPORTANT: The editorial review process is now complete. PLOS will only permit corrections to spelling, formatting or significant scientific errors from this point onwards. Requests for major changes, or any which affect the scientific understanding of your work, will cause delays to the publication date of your manuscript. Should you, your institution's press office or the journal office choose to press release your paper, you will automatically be opted out of early publication. We ask that you notify us now if you or your institution is planning to press release the article. All press must be co-ordinated with PLOS. Thank you again for supporting Open Access publishing; we are looking forward to publishing your work in PLOS Computational Biology. Best regards, Marcos Gomes Eleuterio da Luz, Ph.D. Guest Editor PLOS Computational Biology James O'Dwyer Deputy Editor PLOS Computational Biology *********************************************************** |
| Formally Accepted |
|
PCOMPBIOL-D-21-01701R1 The evolutionary maintenance of Lévy flight foraging Dear Dr Campeau, I am pleased to inform you that your manuscript has been formally accepted for publication in PLOS Computational Biology. Your manuscript is now with our production department and you will be notified of the publication date in due course. The corresponding author will soon be receiving a typeset proof for review, to ensure errors have not been introduced during production. Please review the PDF proof of your manuscript carefully, as this is the last chance to correct any errors. Please note that major changes, or those which affect the scientific understanding of the work, will likely cause delays to the publication date of your manuscript. Soon after your final files are uploaded, unless you have opted out, the early version of your manuscript will be published online. The date of the early version will be your article's publication date. The final article will be published to the same URL, and all versions of the paper will be accessible to readers. Thank you again for supporting PLOS Computational Biology and open-access publishing. We are looking forward to publishing your work! With kind regards, Olena Szabo PLOS Computational Biology | Carlyle House, Carlyle Road, Cambridge CB4 3DN | United Kingdom ploscompbiol@plos.org | Phone +44 (0) 1223-442824 | ploscompbiol.org | @PLOSCompBiol |
Open letter on the publication of peer review reports
PLOS recognizes the benefits of transparency in the peer review process. Therefore, we enable the publication of all of the content of peer review and author responses alongside final, published articles. Reviewers remain anonymous, unless they choose to reveal their names.
We encourage other journals to join us in this initiative. We hope that our action inspires the community, including researchers, research funders, and research institutions, to recognize the benefits of published peer review reports for all parts of the research system.
Learn more at ASAPbio .