文献类型： 外文期刊

作者： Shi, Hang ¹ ; Han, Guang ² ; Hu, Naijuan ⁵ ; Qu, Shuyang ³ ; Zhu, Liqun ¹ ;

作者机构： 1.Nanjing Agr Univ, Coll Agr, Nanjing 210095, Peoples R China

2.Nanjing Agr Univ, Inst Reg Agr Res, Nanjing 210095, Peoples R China

3.Iowa State Univ, Dept Agr Educ & Studies, Ames, IA 50011 USA

4.Nanjing Agr Univ, Coll Humanities & Social Dev, Nanjing 210095, Peoples R China

5.Jiangsu Acad Agr Sci, Inst Agr Econ & Dev, Nanjing 210095, Peoples R China

关键词： rice-crayfish rotation systems; emergy analysis; spatial analysis; pollution control; sustainable development

期刊名称：AGRONOMY-BASEL （ 影响因子：3.7； 五年影响因子：4.0 ）

ISSN：

年卷期： 2024 年 14 卷 5 期

页码：

收录情况： SCI

摘要： The rice-crayfish rotation system (RCR), originating in the Jianghan Plain, is developing rapidly in various regions of China and has been characterized by unbalanced regional development, which has also led to widespread concerns and discussion on its environmental impacts and sustainability. This study selects representative RCR production areas in the Jianghan Plain, including Jianli, Qianjiang, Shishou, Shayang, Gong'an and Honghu, to analyze resource inputs, resource utilization efficiency, environmental impacts and sustainability by employing the emergy analysis method. Our analysis of Jianli, Honghu, Qianjiang, Gong'an, Shishou and Shayang reports total emergy inputs ranging from 6.46 x 1016 to 8.25 x 1016, with renewable rates between 78.38% and 84.34%. Shishou leads in the unit emergy value (5.58 x 10-1) and the emergy yield ratio (5.30). The sustainability evaluation finds that the environmental loading ratio is from 0.19 to 0.28 and the emergy index for sustainable development varies between 1.27 and 3.00. This analysis indicates that the southern regions have higher inputs and efficiency, with southeastern areas showing lower environmental impact and higher sustainability. We also underscore the impact of non-renewable resources on environmental outcomes and sustainability, suggesting tailored development strategies for the rice-crayfish rotation system's optimization and sustainable growth.