Optimization of the spatial layout of animal husbandry based on comprehensive competitive advantage evaluation and nutrient balance: a case study of Heilongjiang province
文献类型：期刊论文
| 作者 | Yan, Bojie3; Li, Yaxing4; Shi, Wenjiao1,5; Yan, Jingjie2 |
| 刊名 | ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
 |
| 出版日期 | 2023-11-09 |
| 页码 | 15 |
| 关键词 | Animal husbandry Comprehensive competitive advantage Evaluation model Nutrient balance Spatial layout |
| ISSN号 | 0944-1344 |
| DOI | 10.1007/s11356-023-30852-7 |
| 通讯作者 | Li, Yaxing(lyx_fzedu@163.com) |
| 英文摘要 | The optimization of the spatial layout of animal husbandry has great significance for the sustainable development of animal husbandry. However, limited research has focused on the optimization of the spatial layout of animal husbandry based on comprehensive competitive advantage evaluation and nutrient balance between planting and breeding. This study established a comprehensive competitive advantage evaluation model of animal husbandry. Based on this model, we performed comprehensive competitive advantage evaluation of animal husbandry. We further calculated the land-carrying capacity index of animal manure and potential land-carrying capacity of animal according to the principle of nutrient balance. Finally, the spatial layout of animal husbandry was optimized using Geographic Information System spatial analysis. Results showed that Harbin had obvious comprehensive competitive advantage in pig, cattle, sheep, and poultry breeding. Daqing had obvious comprehensive competitive advantage in cattle and sheep breeding. The land-carrying capacity index of animal manure of Daxing'anling constantly exceeded 1. The potential land-carrying capacity of animal in Heilongjiang province was uneven, and most regions in Heilongjiang province had development potential of animal husbandry. The optimized target regions of the spatial layout of pig, cattle, sheep, and poultry breeding were all Harbin. A total of 77 956.03 pig equivalent in Daxing'anling was recommended to be transferred to Harbin. Our results are useful for the spatial layout of animal husbandry, environmental pollution prevention from animal husbandry, and optimization of animal products structure. |
| WOS关键词 | LIVESTOCK DISTRIBUTION ; MANURE NITROGEN ; SUITABILITY ; CAPACITY ; LOAD |
| 资助项目 | National Natural Science Foundation of China[41601601] ; Natural Science Foundation of Fujian Province[2016J01713] ; Natural Science Foundation of Fujian Province[2020J01830] |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:001100604600007 |
| 出版者 | SPRINGER HEIDELBERG |
| 资助机构 | National Natural Science Foundation of China ; Natural Science Foundation of Fujian Province |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/200430]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Li, Yaxing |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China 2.Nanjing Univ Posts & Telecommun, Coll Telecommun & Informat Engn, Nanjing 210003, Peoples R China 3.Minjiang Univ, Coll Geog & Oceanog, Fuzhou 350108, Peoples R China 4.Shenzhen Univ, Sch Architecture & Urban Planning, Shenzhen 518060, Peoples R China 5.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yan, Bojie,Li, Yaxing,Shi, Wenjiao,et al. Optimization of the spatial layout of animal husbandry based on comprehensive competitive advantage evaluation and nutrient balance: a case study of Heilongjiang province[J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH,2023:15. |
| APA | Yan, Bojie,Li, Yaxing,Shi, Wenjiao,&Yan, Jingjie.(2023).Optimization of the spatial layout of animal husbandry based on comprehensive competitive advantage evaluation and nutrient balance: a case study of Heilongjiang province.ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH,15. |
| MLA | Yan, Bojie,et al."Optimization of the spatial layout of animal husbandry based on comprehensive competitive advantage evaluation and nutrient balance: a case study of Heilongjiang province".ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2023):15. |
入库方式： OAI收割
来源：地理科学与资源研究所
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