Assessing the Snow Disaster and Disaster Resistance Capability for Spring 2019 in China's Three-River Headwaters Region
文献类型:期刊论文
作者 | Shao, Quanqin1,2; Liu, Guobo1,2; Li, Xiaodong3; Huang, Haibo1; Fan, Jiangwen1; Wang, Liya4; Liu, Jiyuan1; Guo, Xingjian1,2 |
刊名 | SUSTAINABILITY |
出版日期 | 2019-11-01 |
卷号 | 11期号:22页码:14 |
关键词 | Three-River Headwaters Region snow disaster grassland animal husbandry production comprehensive snow disaster resistance capability policy suggestions |
DOI | 10.3390/su11226423 |
通讯作者 | Shao, Quanqin(shaoqq@igsnrr.ac.cn) |
英文摘要 | Frequent snowfall and low temperatures led to a considerable snow disaster in some areas of China's Three-River Headwaters Region (TRHR) in Qinghai province in the spring of 2019, exerting a considerably negative influence on animal husbandry production in local grasslands. Based on a model of snow disaster classification and quantitative estimations of disaster-stricken animal husbandry, we propose a comprehensive disaster resistance capability index (CDRCI) using remote sensing, ground monitoring, and statistical investigations. With a comprehensive assessment of the space distribution and the magnitude of snow disasters, combined with a quantitative determination of disaster-stricken animal husbandry, the proposed CDRCI calculates how grassland animal husbandry is affected by snow disasters in different counties of the TRHR. The results indicate that approximately 2.31 million sheep and yaks were affected by moderate to severe snow disasters in the TRHR, accounting for 78.3% of the total livestock in the affected region. Of these affected livestock, approximately 1.54 million sheep and yaks were specifically affected by severe snow disasters, accounting for 52.1% of the total number of livestock. The CDRCIs for grassland animal husbandry in both Yushu and were moderate, being higher for the former than for the latter. We confirmed that the proposed CDRCI can accurately evaluate the magnitude of snow disasters in terms of how they affect grassland animal husbandry. The CDRCI is a way of relating the number of animal deaths to spatial disaster prevention and resistance. We expect that this research will provide important theoretical support for formulating snow disaster resistance policy, for example for increasing the construction of grassland animal husbandry infrastructure as well as providing greater stored forage material. |
资助项目 | National Natural Science Foundation of China[41571504] ; CAS Strategic Leading Science and Technology Project Category A[XDA23100203] ; National Key Research and Development Program of China[2017YFC0506501] |
WOS研究方向 | Science & Technology - Other Topics ; Environmental Sciences & Ecology |
语种 | 英语 |
出版者 | MDPI |
WOS记录号 | WOS:000503277900236 |
资助机构 | National Natural Science Foundation of China ; CAS Strategic Leading Science and Technology Project Category A ; National Key Research and Development Program of China |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/131005] |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Shao, Quanqin |
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.Univ Chinese Acad Sci, Coll Resource & Environm, Beijing 100049, Peoples R China 3.Qinghai Prov Inst Meteorol Sci, Alpine Ecol Meteorol Lab, Xining 810001, Qinghai, Peoples R China 4.Qinghai Prov Stn Grassland, Grassland Survey Planning & Design Sect, Xining 810008, Qinghai, Peoples R China |
推荐引用方式 GB/T 7714 | Shao, Quanqin,Liu, Guobo,Li, Xiaodong,et al. Assessing the Snow Disaster and Disaster Resistance Capability for Spring 2019 in China's Three-River Headwaters Region[J]. SUSTAINABILITY,2019,11(22):14. |
APA | Shao, Quanqin.,Liu, Guobo.,Li, Xiaodong.,Huang, Haibo.,Fan, Jiangwen.,...&Guo, Xingjian.(2019).Assessing the Snow Disaster and Disaster Resistance Capability for Spring 2019 in China's Three-River Headwaters Region.SUSTAINABILITY,11(22),14. |
MLA | Shao, Quanqin,et al."Assessing the Snow Disaster and Disaster Resistance Capability for Spring 2019 in China's Three-River Headwaters Region".SUSTAINABILITY 11.22(2019):14. |
入库方式: OAI收割
来源:地理科学与资源研究所
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