EconPapers    
Economics at your fingertips  
 

Research on Sustainable Development in an Alpine Pastoral Area Based on Equilibrium Analysis Between the Grassland Yield, Livestock Carrying Capacity, and Animal Husbandry Population

Jiping Zhang, Linbo Zhang, Xiaona Liu and Qing Qiao
Additional contact information
Jiping Zhang: Beijing Municipal Research Institute of Environmental Protection, Beijing 100037, China
Linbo Zhang: Chinese Research Academy of Environmental Sciences, Beijing 100012, China
Xiaona Liu: Beijing Municipal Research Institute of Environmental Protection, Beijing 100037, China
Qing Qiao: Beijing Municipal Research Institute of Environmental Protection, Beijing 100037, China

Sustainability, 2019, vol. 11, issue 17, 1-11

Abstract: Equilibrium of the grassland yield, livestock carrying capacity, and animal husbandry population is the key factor that influences the ecological environment and sustainable development in pastoral areas. It is of great importance to define the animal husbandry pressure and carrying capacity of an animal husbandry population for grassland management policy-making and the sustainable development of animal husbandry. As one of the areas with the most sensitive and vulnerable ecosystem in China, the Three-River Headwaters Region is an ecological barrier for the environmental security and regional sustainable development of Southeast Asian nations. It is of great significance to define the livestock carrying capacity and population pressure in the area. This research estimates the net primary productivity (NPP) of vegetation in the Three-River Headwaters Region using Carnegie-Ames-Stanford approach (CASA) model, estimates the grass yield on the basis of NPP data, and then estimates the reasonable livestock carrying capacity according to the grass yield. Meanwhile, combined with herdsmen investigation data, it establishes a quantitative relationship between the proper livestock carrying capacity and reasonable animal husbandry population. In addition, the spatial distribution of an overloading animal husbandry population is analyzed through spatial interpolation, which can provide theoretical support for the establishment of scientific ecological immigration policy and the sustainable development of local animal husbandry. The results show that (1) the total grass yield of the grassland in the Three-River Headwaters Region is 13.96 million tons, and the average grass yield is 529.87 kg/hm 2 , whilst the spatial distribution presents a decreasing trend from the east and southeast to the west and northwest; (2) the reasonable livestock carrying capacity is 14.03 million sheep units (hereinafter referred as “SU”), and the average livestock carrying capacity is 55.14 SU/km 2 ; and (3) the reasonable animal husbandry population carrying capacity is 512,500 people, while the actual amount is 645,300, with 132,800 people beyond the carrying capacity, especially in Xinghai, Tongde, Zekog, Yushu, Nangqen, and Chindu County.

Keywords: grassland yield; proper livestock carrying capacity; animal husbandry population; herdsmen investigation; Three-River Headwaters Region (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.mdpi.com/2071-1050/11/17/4659/pdf (application/pdf)
https://www.mdpi.com/2071-1050/11/17/4659/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:11:y:2019:i:17:p:4659-:d:261352

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jsusta:v:11:y:2019:i:17:p:4659-:d:261352