Abstract

Creature cultivation is a prevailing and customary wellspring of work and pay. One of the most common snow disaster areas in the world is the Qinghai-Tibetan Plateau, which is the third largest snow-covered area in China. Therefore, the issue of the animal husbandry industry’s vulnerability to snow disasters must be addressed immediately for the purpose of disaster mitigation and adaptation in light of the increasing likelihood of these disasters occurring as a result of future climate change. However, very little research has been done on the animal husbandry’s vulnerability on the Qinghai-Tibetan Plateau. The purpose of this assessment is to determine the spatial scale of animal husbandry’s vulnerability and the causes of that vulnerability for the purposes of adaptive planning and disaster mitigation. First, the characteristics of previous snow disasters have been looked at and used to calculate the spatial weight for assessing vulnerability. Second, a model and indicator system for indicatorbased vulnerability assessment has been developed. In an integrated vulnerability index, we combined the risk of snow hazard, livestock sensitivity to disaster, physical exposure to disaster, and community adaptability to snow disaster. Last but not least, the Qinghai-Tibetan Plateau’s animal husbandry’s vulnerability to snow disaster has been evaluated. According to the findings, the eastern and central plateaus have the greatest concentration of high vulnerabilities, while the vulnerability gradually decreases from the east to the west. Over the past few decades, the trend toward vulnerability has somewhat abated as a result of global warming. High vulnerability is primarily caused by a lack of livestock barns and forage, exposure to blizzard-prone regions, and high livestock density. In the conclusion, the significance of the local government and community’s assistance to pastoralists in reducing their vulnerability to the snow disaster and frozen hazard is emphasized. This paper’s methods can be used to effectively reduce vulnerability to natural hazards in other regions, improve resilience, and mitigate snow disasters.