Optimization of the spatial layout of animal husbandry based on comprehensive competitive advantage evaluation and nutrient balance: a case study of Heilongjiang province

被引:1
作者
Yan, Bojie [1 ]
Li, Yaxing [2 ]
Shi, Wenjiao [3 ,4 ]
Yan, Jingjie [5 ]
机构
[1] Minjiang Univ, Coll Geog & Oceanog, Fuzhou 350108, Peoples R China
[2] Shenzhen Univ, Sch Architecture & Urban Planning, Shenzhen 518060, Peoples R China
[3] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China
[4] Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
[5] Nanjing Univ Posts & Telecommun, Coll Telecommun & Informat Engn, Nanjing 210003, Peoples R China
基金
中国国家自然科学基金;
关键词
Animal husbandry; Comprehensive competitive advantage; Evaluation model; Nutrient balance; Spatial layout; LIVESTOCK DISTRIBUTION; MANURE NITROGEN; SUITABILITY; CAPACITY; LOAD;
D O I
10.1007/s11356-023-30852-7
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
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.
引用
收藏
页码:120638 / 120652
页数:15
相关论文
共 38 条
[1]   Environment suitability mapping of livestock: A case study of Ethiopian indigenous sheep and goats [J].
Atassi, L. ;
Haile, A. ;
Solomon, D. ;
Demissie, T. ;
Rischkowsky, B. ;
Biradar, C. ;
Mwacharo, J. M. .
SMALL RUMINANT RESEARCH, 2022, 216
[2]   Evaluation of the sustainability of contrasted pig farming systems: integrated evaluation [J].
Bonneau, M. ;
Klauke, T. N. ;
Gonzalez, J. ;
Rydhmer, L. ;
Ilari-Antoine, E. ;
Dourmad, J. Y. ;
de Greef, K. ;
Houwers, H. W. J. ;
Cinar, M. U. ;
Fabrega, E. ;
Zimmer, C. ;
Hviid, M. ;
van der Oever, B. ;
Edwards, S. A. .
ANIMAL, 2014, 8 (12) :2058-2068
[3]   Poultry farm distribution models developed along a gradient of intensification [J].
Chaiban, Celia ;
Da Re, Daniele ;
Robinson, Timothy P. ;
Gilbert, Marius ;
Vanwambeke, Sophie O. .
PREVENTIVE VETERINARY MEDICINE, 2021, 186
[4]  
[陈伟生 Chen Weisheng], 2019, [中国科学院院刊, Bulletin of the Chinese Academy of Sciences], V34, P135
[5]  
Dou ZJ., 2021, J CHIN AGR MECH, V42, P150
[6]  
Fan Bin, 2020, Research of Agricultural Modernization, V41, P331
[7]   Spatial analysis and districting of the livestock and poultry breeding in China [J].
Fu Qiang ;
Zhu Yunqiang ;
Kong Yunfeng ;
Sun Jiulin .
JOURNAL OF GEOGRAPHICAL SCIENCES, 2012, 22 (06) :1079-1100
[8]  
Guo Cai-xia, 2020, Journal of Agro-Environment Science, V39, P1548, DOI 10.11654/jaes.2019-1431
[9]  
Heilongjiang Bureau of Statistics, 2020, HEILONGJIANG STAT YB
[10]  
Jiang ZF., 2021, CHINA BIOGAS, V39, P10