COVID-19 lockdown reveals fish density may be much higher in marine reserves
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Abstract
Marine reserves generally allow ecotourism to offer an alternative income to fishing. However, we need to assess its impact on wildlife to make this activity sustainable. The COVID-19 lockdown provided a unique opportunity to evaluate wildlife diversity in the absence of human activity. In a Mexican reserve, we monitored fish assemblages before, during, and just after the lockdown. We show that ecotourism activities alter the behavior of fishes by finding a 2.5-fold density rise during the lockdown. We suggest that the noise pollution generated by the numerous recreational vessels is a significant factor of perturbation. In the absence of noise pollution, some fishes may be bolder (less hidden) and others can come back to the reserve from usually quieter areas (e.g., deeper waters). Our results represent a great worldwide incentive to improve the health of marine reserves by establishing concrete measures in managing plans to mitigate noise pollution.
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All data and code necessary to reproduce the results of the paper are enclosed in the submission for review purposes, and will be published on Zenodo following the acceptance of the paper.
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SciScore for 10.1101/2022.05.17.492376: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
NIH rigor criteria are not applicable to paper type.Table 2: Resources
Software and Algorithms Sentences Resources We ran all analyses using R software (R Development Core Team 2016). R Development Coresuggested: (R Project for Statistical Computing, RRID:SCR_001905)Results from OddPub: Thank you for sharing your data.
Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.Results from TrialIdentifier: No clinical trial numbers were referenced.
Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
Results from JetFighter: We did not find any …
SciScore for 10.1101/2022.05.17.492376: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
NIH rigor criteria are not applicable to paper type.Table 2: Resources
Software and Algorithms Sentences Resources We ran all analyses using R software (R Development Core Team 2016). R Development Coresuggested: (R Project for Statistical Computing, RRID:SCR_001905)Results from OddPub: Thank you for sharing your data.
Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.Results from TrialIdentifier: No clinical trial numbers were referenced.
Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
Results from JetFighter: We did not find any issues relating to colormaps.
Results from rtransparent:- Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
- Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
- No protocol registration statement was detected.
Results from scite Reference Check: We found no unreliable references.
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