Correction to ‘Study With Agricultural System Resilience and Agro-Ecological Efficiency Synergistic Evolutionary in China’

IF 4.5 2区农林科学 Q2 FOOD SCIENCE & TECHNOLOGY

Food and Energy Security Pub Date : 2025-09-10 DOI:10.1002/fes3.70129

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引用次数: 0

Abstract

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.

查看原文本刊更多论文

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

乔国光，陈峰，徐春春，李勇，张东。2024。中国农业系统弹性与农业生态效率协同演化研究粮食安全与能源安全[j] .中国科学：自然科学版。https://doi.org/10.1002/fes3.514.In对于上述文章的已发布版本，作者想做以下修改。在第10页第3.2.1节“顺序参数判断”最后一段对方程（11）的解释中，没有明确说明将原始d值转换为分析后的d值。式（11）输出的原始d值为值域[0，+∞]范围内的值，其值越小表示系统协同程度越高。后续的实证分析实际上采用的是d值的前向归一化，d值已经转换为值域（0,1）的值，值越大表示协同程度越高。在19的第10页，第3.2.1节的最后一段，文本“其中d为协同值，值越大表示协同水平低，反之表示协同水平高。”然后将d的值转发，得到2001 - 2020年中国农业弹性与生态效率复合系统的协同得分。是不够的。其中d表示协同值，由式（11）输出的d值越大，协同程度越低。原d值理论上没有上界，值域为[0，+∞)。为了便于分析，假设d_max和d_min分别为观测样本的最大值和最小值，根据式（11）输出值的数据特征，本文采用（d_max × 1.05−d）/（d_max × 1.05−d_min × 0.95）进行正向归一化。将式（11）直接输出的原始d值在值域（0,1）区间内转化为正值，评价2001 - 2020年中国农业弹性与生态效率复合系统的协同得分。后续研究的分析是基于用正向归一化方法处理后的d值。我们为这一疏忽和任何误解道歉。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Food and Energy Security Energy-Renewable Energy, Sustainability and the Environment

CiteScore

9.30

自引率

4.00%

发文量

审稿时长

19 weeks

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