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The vulnerability assessment of grassland livestock industry to drought: A case study in pasture of Xilingol, Inner Mongolia.

ZHOU Li-guang1, DU Feng-lian2**, ZHANG Xue-feng1, ZHANG Cun-hou3   

  1. (1College of Life Sciences, Inner Mongolia University, Hohhot 010021, China; 2School of Economics and Management, Inner Mongolia University, Hohhot 010021, China; 3Centre of Ecology and Agricultural Meteorology, Inner Mongolia Weather Bureau, Hohhot 010051, China)
  • Online:2014-01-10 Published:2014-01-10

Abstract: The vulnerability assessment is of great importance in the research of climate adaptation, especially for those climate sensitive areas and industries. This paper adopts the participating assessment and action impact matrix to identify the key vulnerability factors. Then we build up the indicator classes of vulnerability assessment employing the analytic hierarchy process methodology. With the assessment model, we calculate the vulnerability index, which reveals the vulnerability of grassland livestock industry to drought in Xilingol, Inner Mongolia. Drought is the most critical climate hazard, inciting serious and vast impact on grassland livestock industry. Drought has detrimental impacts on herdsmen’s livelihood because it deteriorates the supplies of grass, livestock, and water in pastoral areas. Unfortunately, the effect of drought on human being’s health is always ignored by stakeholders. The areas with poor husbandry infrastructure and intense climatic fluctuation are more vulnerable to climate change. The improving adaptive capacity is mainly responsible for the reduction of the vulnerability of grassland livestock industry to climate change at both spatial and temporal scales. The promotion of adaptive capacity is prior to the reductions of both sensitivity and exposure in terms of adaptation strategies to climate change. The promotion of adaptive capacity aims to guarantee herdsmen’s livelihood through increasing herdsmen’s economic income, improving the husbandry infrastructure, and enhancing the capacity of supplementary feeding.

Key words: sulfate-reducing prokaryote, ASP flooding, produced water, high-throughput sequencing, microbial community structure, hydrogen sulfide., petroleum reservoir