Assessing Changes in Climatic Suitability for Sesame Cultivation in China (1978–2019) Based on Fuzzy Mathematics
Round 1
Reviewer 1 Report
Comments and Suggestions for Authorssee attachment
Comments for author File: 
Comments.pdf
The English is mostly acceptable - a few language alterations are suggested
Author Response
Please see the attachment.
Author Response File: Author Response.pdf
Reviewer 2 Report
Comments and Suggestions for AuthorsTitle: There are two interesting terms that should be included in the title, the climate database and the three climate variables used to "measure" suitability. (suggest in manuscript)
Introduction: The authors are using forecast climate information, I just want to know, a little justification how were selected these variables or why the relationship of theirs with the sesame production.
The objective can be integer in one?
M&M:I think the results are very good and can be useful in the area; however, these results depend on the quality of the data. I would like to suggest a brief explanation, the data adquistion, data curation, treatment or how we can to know the certainty of the results.
Results:
Some figures make clear the suitability for sesame cultivation; However, I am not sure if the same results are obtained with all three variables together.
Some specific comments are in the manuscript
Comments for author File: Comments.pdf
Author Response
Please see the attachment.
Author Response File: Author Response.pdf
Reviewer 3 Report
Comments and Suggestions for AuthorsLines 47-58: Please insert what is the role of technology and innovation in facilitating climate-resilient agriculture in the world. Is it possible to influence climate change with the help of emerging agricultural practices, such as precision farming, drought-resistant crop varieties, and climate-smart irrigation systems, that can help mitigate the adverse effects of climate change on crop production. Highlight the importance of research and development in fostering innovation and providing farmers with the tools and knowledge needed to adapt to evolving climatic conditions.
Lines 59-72: I suggest adding two to three sentences to this paragraph and recent advances in climate suitability modeling techniques that relate to the research subject of this manuscript, such as remote sensing data integration, machine learning algorithms, or ensemble modeling approaches, which can provide more accurate and robust estimates of crop-climate relationships.
Lines from 335: Please insert how and in what way it is possible to do implications of these climate changes on agriculture in the MSPC region. Highlight how shifts in temperature, precipitation, and sunshine hours can affect crop yields, planting schedules, and overall agricultural productivity for sesame and perhaps some other plant species citing the appropriate source. Emphasize the importance of adapting farming practices to these changing conditions to ensure food security and economic stability in the region.
Lines 370-376: Explane how changes in meteorological conditions from year to year contribute to fluctuations in sesame production and highlight the importance of understanding these variations for effective agricultural planning and management. in addition, explain whether it is necessary to combine sesame yield data from various ecological sites. Does this approach allow for a more comprehensive and representative analysis, capturing the diverse environmental conditions under which sesame is cultivated and providing insights into the adaptability of sesame to different ecological contexts.
By incorporating these additional details, we can enhance the clarity and depth of the article's explanation regarding how meteorological factors influence sesame yield and why a combined, ecologically diverse approach is essential for a comprehensive understanding.
Author Response
Please see the attachment.
Author Response File: Author Response.pdf
