{"title":"对“中国农业系统弹性与农业生态效率协同进化研究”的修正","authors":"","doi":"10.1002/fes3.70129","DOIUrl":null,"url":null,"abstract":"<p>Qiao G., F. Chen, C. Xu, Y. Li, D. Zhang. 2024. Study With Agricultural System Resilience and Agro-Ecological Efficiency Synergistic Evolutionary in China. <i>Food and Energy Security</i>. 13: e514. https://doi.org/10.1002/fes3.514.</p><p>In the published version of the above article, the author would like to make the following changes.</p><p>In the interpretation of Equation (11) in the last paragraph of Section 3.2.1 ‘Sequential Parameter Judgement’ on page 10, the conversion of the raw <i>d</i>-value to the analysed <i>d</i>-value is not explicitly stated.</p><p>The raw <i>d</i>-value output from Equation (11) is a value within the range of value domain [0, +∞), and the smaller its value characterises the higher degree of system synergy. The subsequent empirical analysis is actually used by the forward normalisation of the <i>d</i>-value, which has been converted to the value of the value domain (0, 1], when the larger the value indicates a higher degree of synergy.</p><p>On page 10 of 19, the last paragraph of Section 3.2.1, the text ‘Where <i>d</i> is the synergy value, a large value of indicates a low level of synergy, while the opposite is a high level of synergy. The value of <i>d</i> is then forwarded to obtain the synergy score of the composite system of agricultural resilience and eco-efficiency in China from 2001 to 2020’. was inadequate. This should have read:</p><p>‘Where <i>d</i> represents the synergy value, the larger the <i>d</i> value output by Equation (11), the lower the degree of synergy. The original <i>d</i> value theoretically has no upper bound and the value domain is [0, +∞). In order to facilitate the analysis, it is assumed that <i>d</i>_max and <i>d</i>_min as the maximum and minimum values of the observed samples, based on the data characteristics of the output value of Equation (11), the paper uses (<i>d</i>_max × 1.05 − <i>d</i>)/(<i>d</i>_max × 1.05 − <i>d</i>_min × 0.95) for the forward normalisation. The raw <i>d</i> value directly output from Equation (11) was converted into a positive value in the interval of value domain (0, 1] to evaluate the synergy score of the composite system of agricultural resilience and eco-efficiency in China from 2001 to 2020. The analyses of the subsequent studies were based on the <i>d</i>-values after treatment with the forward normalisation method’.</p><p>We apologise for this omission and any misunderstanding.</p>","PeriodicalId":54283,"journal":{"name":"Food and Energy Security","volume":"14 5","pages":""},"PeriodicalIF":4.5000,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/fes3.70129","citationCount":"0","resultStr":"{\"title\":\"Correction to ‘Study With Agricultural System Resilience and Agro-Ecological Efficiency Synergistic Evolutionary in China’\",\"authors\":\"\",\"doi\":\"10.1002/fes3.70129\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Qiao G., F. Chen, C. Xu, Y. Li, D. Zhang. 2024. Study With Agricultural System Resilience and Agro-Ecological Efficiency Synergistic Evolutionary in China. <i>Food and Energy Security</i>. 13: e514. https://doi.org/10.1002/fes3.514.</p><p>In the published version of the above article, the author would like to make the following changes.</p><p>In the interpretation of Equation (11) in the last paragraph of Section 3.2.1 ‘Sequential Parameter Judgement’ on page 10, the conversion of the raw <i>d</i>-value to the analysed <i>d</i>-value is not explicitly stated.</p><p>The raw <i>d</i>-value output from Equation (11) is a value within the range of value domain [0, +∞), and the smaller its value characterises the higher degree of system synergy. The subsequent empirical analysis is actually used by the forward normalisation of the <i>d</i>-value, which has been converted to the value of the value domain (0, 1], when the larger the value indicates a higher degree of synergy.</p><p>On page 10 of 19, the last paragraph of Section 3.2.1, the text ‘Where <i>d</i> is the synergy value, a large value of indicates a low level of synergy, while the opposite is a high level of synergy. The value of <i>d</i> is then forwarded to obtain the synergy score of the composite system of agricultural resilience and eco-efficiency in China from 2001 to 2020’. was inadequate. This should have read:</p><p>‘Where <i>d</i> represents the synergy value, the larger the <i>d</i> value output by Equation (11), the lower the degree of synergy. The original <i>d</i> value theoretically has no upper bound and the value domain is [0, +∞). In order to facilitate the analysis, it is assumed that <i>d</i>_max and <i>d</i>_min as the maximum and minimum values of the observed samples, based on the data characteristics of the output value of Equation (11), the paper uses (<i>d</i>_max × 1.05 − <i>d</i>)/(<i>d</i>_max × 1.05 − <i>d</i>_min × 0.95) for the forward normalisation. The raw <i>d</i> value directly output from Equation (11) was converted into a positive value in the interval of value domain (0, 1] to evaluate the synergy score of the composite system of agricultural resilience and eco-efficiency in China from 2001 to 2020. The analyses of the subsequent studies were based on the <i>d</i>-values after treatment with the forward normalisation method’.</p><p>We apologise for this omission and any misunderstanding.</p>\",\"PeriodicalId\":54283,\"journal\":{\"name\":\"Food and Energy Security\",\"volume\":\"14 5\",\"pages\":\"\"},\"PeriodicalIF\":4.5000,\"publicationDate\":\"2025-09-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1002/fes3.70129\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Food and Energy Security\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/fes3.70129\",\"RegionNum\":2,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"FOOD SCIENCE & TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Food and Energy Security","FirstCategoryId":"97","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/fes3.70129","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"FOOD SCIENCE & TECHNOLOGY","Score":null,"Total":0}
Correction to ‘Study With Agricultural System Resilience and Agro-Ecological Efficiency Synergistic Evolutionary in China’
Qiao G., F. Chen, C. Xu, Y. Li, D. Zhang. 2024. Study With Agricultural System Resilience and Agro-Ecological Efficiency Synergistic Evolutionary in China. Food and Energy Security. 13: e514. https://doi.org/10.1002/fes3.514.
In the published version of the above article, the author would like to make the following changes.
In the interpretation of Equation (11) in the last paragraph of Section 3.2.1 ‘Sequential Parameter Judgement’ on page 10, the conversion of the raw d-value to the analysed d-value is not explicitly stated.
The raw d-value output from Equation (11) is a value within the range of value domain [0, +∞), and the smaller its value characterises the higher degree of system synergy. The subsequent empirical analysis is actually used by the forward normalisation of the d-value, which has been converted to the value of the value domain (0, 1], when the larger the value indicates a higher degree of synergy.
On page 10 of 19, the last paragraph of Section 3.2.1, the text ‘Where d is the synergy value, a large value of indicates a low level of synergy, while the opposite is a high level of synergy. The value of d is then forwarded to obtain the synergy score of the composite system of agricultural resilience and eco-efficiency in China from 2001 to 2020’. was inadequate. This should have read:
‘Where d represents the synergy value, the larger the d value output by Equation (11), the lower the degree of synergy. The original d value theoretically has no upper bound and the value domain is [0, +∞). In order to facilitate the analysis, it is assumed that d_max and d_min as the maximum and minimum values of the observed samples, based on the data characteristics of the output value of Equation (11), the paper uses (d_max × 1.05 − d)/(d_max × 1.05 − d_min × 0.95) for the forward normalisation. The raw d value directly output from Equation (11) was converted into a positive value in the interval of value domain (0, 1] to evaluate the synergy score of the composite system of agricultural resilience and eco-efficiency in China from 2001 to 2020. The analyses of the subsequent studies were based on the d-values after treatment with the forward normalisation method’.
We apologise for this omission and any misunderstanding.
期刊介绍：
Food and Energy Security seeks to publish high quality and high impact original research on agricultural crop and forest productivity to improve food and energy security. It actively seeks submissions from emerging countries with expanding agricultural research communities. Papers from China, other parts of Asia, India and South America are particularly welcome. The Editorial Board, headed by Editor-in-Chief Professor Martin Parry, is determined to make FES the leading publication in its sector and will be aiming for a top-ranking impact factor.
Primary research articles should report hypothesis driven investigations that provide new insights into mechanisms and processes that determine productivity and properties for exploitation. Review articles are welcome but they must be critical in approach and provide particularly novel and far reaching insights.
Food and Energy Security offers authors a forum for the discussion of the most important advances in this field and promotes an integrative approach of scientific disciplines. Papers must contribute substantially to the advancement of knowledge.
Examples of areas covered in Food and Energy Security include:
• Agronomy
• Biotechnological Approaches
• Breeding & Genetics
• Climate Change
• Quality and Composition
• Food Crops and Bioenergy Feedstocks
• Developmental, Physiology and Biochemistry
• Functional Genomics
• Molecular Biology
• Pest and Disease Management
• Post Harvest Biology
• Soil Science
• Systems Biology
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