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Biophysical and socioeconomic drivers of the dynamics in snow hazard impacts across scales and over heterogeneous landscape in Northern Tibet

Author

Listed:
  • Jun Wang

    (Peking University Shenzhen Graduate School)

  • Yang Wang

    (China Meteorological Administration)

  • Shiji Wang

    (Chinese Academy of Sciences)

Abstract

Understanding the dynamics of snow hazard impacts on the Tibetan Plateau is significant and prerequisite for decision making in mitigating the negative impacts of snow hazards and facilitating social adaptation to climate variability and change. In this study, we adopted the framework of vulnerability analysis to analyze the drivers of the dynamics in snow hazard impacts indicated by livestock mortality rate in Northern Tibet. We selected Nagqu Prefecture, a remote pastoral area of Northern Tibet, as the case study area to analyze the drivers of the dynamics in snow hazard impacts between 1982 and 2010. We applied panel data models and geographically weighted regressions to diagnose the drivers of the dynamics in snow hazard impacts across two administrative scales and over heterogeneous landscape in Nagqu Prefecture. The results showed that the contributions of biophysical and socioeconomic factors to explaining the annual dynamics of livestock mortality rate varied between Nagqu Prefecture scale and Nagqu County scale. The modeling results using geographically weighted regressions showed that the statistical relationships between livestock mortality rate and various explanatory variables varied across geographic space due to spatial heterogeneity of local grassland social–ecological systems. Insights gained through this study help to improve our understanding of the drivers of snow hazard impacts across different administrative scales and over heterogeneous landscape in Northern Tibet. The findings of this study also have important implications for snow hazard management and building adaptive capacity for future climate change in the pastoral areas of Northern Tibet.

Suggested Citation

  • Jun Wang & Yang Wang & Shiji Wang, 2016. "Biophysical and socioeconomic drivers of the dynamics in snow hazard impacts across scales and over heterogeneous landscape in Northern Tibet," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(3), pages 1499-1514, April.
    • Handle: RePEc:spr:nathaz:v:81:y:2016:i:3:d:10.1007_s11069-015-2142-7
    DOI: 10.1007/s11069-015-2142-7
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    References listed on IDEAS

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    1. Yu, Jihai & de Jong, Robert & Lee, Lung-fei, 2008. "Quasi-maximum likelihood estimators for spatial dynamic panel data with fixed effects when both n and T are large," Journal of Econometrics, Elsevier, vol. 146(1), pages 118-134, September.
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    Cited by:

    1. Chenxi Li & Kening Wu, 2017. "Driving forces of the villages hollowing based on geographically weighted regression model: a case study of Longde County, the Ningxia Hui Autonomous Region, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 89(3), pages 1059-1079, December.
    2. Shao Sun & Qiang Zhang & Yuanxin Xu & Ruyue Yuan, 2021. "Integrated Assessments of Meteorological Hazards across the Qinghai-Tibet Plateau of China," Sustainability, MDPI, vol. 13(18), pages 1-14, September.

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