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Multi-Objective Optimization of Integrated Crop-Livestock Systems: Exploring Resource Allocation Based on Emergy Evaluation

文献类型： 外文期刊

作者： Chen, Xiao 1 ; He, Zeyuan 1 ; Wu, Huarui 3 ; Wen, Changji 1 ; Tao, Tao 1 ; Yang, Xinyu 1 ; Tang, You 2 ; Guo, Hongliang 1 ; Yu, Helong 1 ;

作者机构： 1.Jilin Agr Univ, Coll Informat Technol, Changchun 130118, Peoples R China

2.Jilin Agr Univ, Inst Smart Agr, Changchun 130118, Peoples R China

3.Natl Engn Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China

关键词： optimization model-based emergy evaluation (OMEE); integrated crop-livestock system (ICLS); configuration of agricultural resource; sustainability; CIHE-NSGA-II

期刊名称：SUSTAINABILITY （ 影响因子：3.9； 五年影响因子：4.0 ）

ISSN：

年卷期： 2023 年 15 卷 11 期

页码：

收录情况： SCI

摘要： Integrated crop-livestock systems (ICLSs) can improve the sustainability of agriculture. The configuration of an ICLS to achieve sustainable development while maintaining the effectiveness of resource utilization is complicated due to conflicts between economic performance and environmental protection. In this paper, a novel optimization model-based emergy evaluation (OMEE) method is proposed for ICLS configuration. OMEE encompasses an emergy analysis and an improved non-dominated sorting genetic algorithm II (NSGA-II) programming model. Based on the emergy analysis, the emergy economic efficiency index (EYR), emergy environmental efficiency index (ELR) and emergy sustainability index (ESI) are used for the sustainable development evaluation, and the results provided the basis for the objective function for economic and environmental equilibrium. Considering programming issues, the configured initial data and hierarchical evaluation results are integrated into the improved NSGA-II (CIHE-NSGA-II) model. This model is capable of (1) configuring the initial solution based on original farming data and (2) performing hierarchical evaluations of EYR, ELR and ESI based on bilevel programming. This exploratory approach was verified based on a real case study in northern China. The results showed that the ESI increased by 16.8% when the proposed approach was applied. This simulation research demonstrates the usefulness of CIHE-NSGA II in optimizing the allocation of resources in ICLSs, and OMEE can provide evaluation results that aid in meeting decision-making goals and configuring crop and livestock resources.

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