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Peer-Review Record

Forecasting Albacore (Thunnus alalunga) Fishing Grounds in the South Pacific Based on Machine Learning Algorithms and Ensemble Learning Model

Appl. Sci. 2023, 13(9), 5485; https://doi.org/10.3390/app13095485
by Jie Zhang, Donlin Fan, Hongchang He *, Bin Xiao, Yuankang Xiong and Jinke Shi
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Appl. Sci. 2023, 13(9), 5485; https://doi.org/10.3390/app13095485
Submission received: 4 March 2023 / Revised: 20 April 2023 / Accepted: 20 April 2023 / Published: 28 April 2023
(This article belongs to the Section Environmental Sciences)

Round 1

Reviewer 1 Report

1. In the title scientific name must be Italics.

2. Increase the front size of the Figure 4 and Figure 5.

3. Figure 1 should mentioned the full form of the CPUE and the Species name in full.

4. Figure 2 title need to be more elaboration, Technical route of what? 

5. Title of the all figures and tables need to be elaborate. 

6. What is significance of the present study? If to forecast the Tuna stock or find out the accuracy of the forecast, then how the management strategies would be developed. If the fisherman receive the very accurate locations of the fish stock in the sea, then the harvest rate will be increase and stock will be declined. How this problem could be solved? Therefore, the study could be create a negative impacts on the fish stocks. 

Author Response

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Author Response File: Author Response.docx

Reviewer 2 Report

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Comments for author File: Comments.pdf

Author Response

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Author Response File: Author Response.docx

Round 2

Reviewer 2 Report

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Comments for author File: Comments.pdf

Author Response

请参阅附件。

Author Response File: Author Response.pdf

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