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Sustainability Science

, Volume 11, Issue 2, pp 249–260 | Cite as

Impacts of snow disaster on meat production and adaptation: an empirical analysis in the yellow river source region

  • Yi-ping FangEmail author
  • Chen Zhao
  • Yong-jian Ding
  • Da-he Qin
  • Jia-li Huang
Original Article
Part of the following topical collections:
  1. Climate Change Mitigation, Adaption, and Resilience

Abstract

The Yellow River source region is located in the hinterland of the Qinghai-Tibetan Plateau, and has a sensitive response to global change due to its unique cryosphere processes. Any slight changes in natural elements and human activity can have a magnified effect on grassland ecosystem, animal husbandry, and pastoral livelihoods since its economy is exclusively dominated by grassland animal husbandry. Because snow disaster has been one of the major natural disasters in the source region, it is crucial to explore the economic impact of snow disaster on animal husbandry and identify effective adaptation measures. A nonlinear model of meat production was established in relation to snow disaster, grassland productivity, and disaster prevention by introducing a snow level index, and selecting three key indicators of grassland productivity and disaster prevention, including grass growing season precipitation concentration, sown grassland area, and warm barn area. This is an inverse of negative correlation, less meat when there is more snow. Per unit increase in snow level in the source region led to a decrease of 0.213 units in meat production. However, production losses caused by the snow disaster could be effectively suppressed by the increase in scale and intensity of sown grassland and warm barn construction. Per unit increase in sown grassland and warm barn area led to an increase of 0.240 and 0.610 units in meat production, respectively. The effects of sown grassland and warm barn area in reducing snow damage at different snow levels were analyzed. Snow disaster adaptation in the source region should include acceleration of the construction of meteorological disaster prevention and mitigation system, to ensure balanced forage supply between winter and spring, to prioritize the development of warm barn, and reduce the proportion of self-financed construction warm barn to encourage active participation of pastoralists, and to develop insurance mechanism for livestock.

Keywords

Meat production Snow disaster prevention Adaptation Adaptive performance 

Notes

Acknowledgments

This work was supported by the National Basic Research Program of China (Grant Number: 2013CBA01808) and National Key Technology Research and Development Program of the Ministry of Science and Technology of China (Grant Number: 2014BAC05B01). The authors would like to thank two anonymous referees for their useful review comments on previous versions of the paper.

References

  1. Bavay M, Grünewald T, Lehning M (2013) Response of snow cover and runoff to climate change in high Alpine catchments of Eastern Switzerland. Adv Water Resour 55:4–16. doi: 10.1016/j.advwatres.2012.12.009 CrossRefGoogle Scholar
  2. Campbell R, Knowles T (2011) The economic impacts of losing livestock in a disaster, a report for the world society for the protection of animals (WSPA), prepared by economists at large, Melbourne, AustraliaGoogle Scholar
  3. Changnon SA, Changnon D (2005) Snowstorm catastrophes in the United States. Environ Disaster 6:L158–L166Google Scholar
  4. Clague JJ (2013) Geohazards explained 3: cryospheric hazards. Geol Today 29(2):73–79CrossRefGoogle Scholar
  5. Crawford CJ, Manson SM, Bauer ME, Hall DK (2013) Multitemporal snow cover mapping in mountainous terrain for landsat climate data record development. Remote Sens Environ 135:224–233. doi: 10.1016/j.rse.2013.04.004 CrossRefGoogle Scholar
  6. Ding Y-H, Gao S-H (1995) Impact of trace gases on agriculture and ecosystem in China. China Science and Technology Press, Beijing, pp 148–166 (in Chinese) Google Scholar
  7. Du T-Y, Yan Z-Y, Qin H-R (2001) The beneficial evaluation on disaster prevention base construction in southern region of Qinghai province. Pratacultural Sci 18(1):37–42 (in Chinese) Google Scholar
  8. Fang Y-P (2013a) The effect of pastoralist’s perception innovation on livelihood improvement: based on empirical analysis in the source region of Yellow River, China. J Sust Dev 6(3):16–30. doi: 10.5539/jsd.v6n3p16 Google Scholar
  9. Fang Y-P (2013b) Managing the three-rivers headwater region, China: from ecological engineering to social engineering. Ambio 42(5):566–576. doi: 10.1007/s13280-012-0366-2 CrossRefGoogle Scholar
  10. Fang Y-P, Qin D-H, Ding Y-J (2011) Frozen soil change and adaptation of animal husbandry: a case of the source regions of Yangtze and Yellow Rivers. Environ Sci Policy 14(5):555–568. doi: 10.1016/j.envsci.2011.03.012 CrossRefGoogle Scholar
  11. Feng X-Z, Lu A-X, Zeng Q-Z (1997) Study on snow disaster monitoring and assessment using remote sensing in the main pastoral areas of China. J Remote Sens. doi: 10.11834/jrs.19970209 (in Chinese) Google Scholar
  12. Fernández-Giménez ME, Batkhishig B, Batbuyan B (2012) Cross-boundary and cross-level dynamics increase vulnerability to severe winter disasters (dzud) in Mongolia. Glob Environ Change 22(4):836–851. doi: 10.1016/j.gloenvcha.2012.07.001 CrossRefGoogle Scholar
  13. Fernández-Giménez ME, Batkhishig B, Batbuyan B, Ulambayar T (2015) Lessons from the Dzud: Community-based rangeland management increases the adaptive capacity of Mongolian herders to winter disasters. World Dev 68:48–65. doi: 10.1016/j.worlddev.2014.11.015 CrossRefGoogle Scholar
  14. Gong D-J, Li Z-J (2001) The cause of heavy snow disaster formation and countermeasure of decreasing disaster in the Inner Mongolia. Climatic Environ Res 6:132–138 (in Chinese) Google Scholar
  15. Hao L, Wang J-A, Man S-E, Yang C-Y (2002) Spatio-temporal change of snow disaster and analysis of vulnerability of animal husbandry in China. J Nat Disasters 11(4):42–48 (in Chinese) Google Scholar
  16. Hao L, Wang J-G, Shi P-J, Fan Y-D (2003) Vulnerability assessment of regional snow disaster of animal husbandry: taking pasture of Inner Mongolia as an example. J Nat Disasters 12:51–57 (in Chinese) Google Scholar
  17. Hu T (1991) Snow disaster and mitigation strategy in Inner Mongolia. Meteor. J Inner Mong 6:7–12 (in Chinese) Google Scholar
  18. Li H-M, Zhang A-L (2014) Response of grassland climate productivity to climate change in Sanjiangyuan Regions. J Huazhong Agric Univ (Soc Sci Ed) 1:124–130 (in Chinese) Google Scholar
  19. Liang T-G, Liu X-Y, Guo Z-G (2006) Evaluation approach to snow disasters in pastoral areas based on 3S technologies. Acta Prataculturae Sinica 15(4):122–128 (in Chinese) Google Scholar
  20. Liston GE (1999) Interrelationships among snow distribution, snowmelt, and snow cover depletion: implications for atmospheric, hydrologic, and ecologic modeling. J Appl Meteorol 38:1474–1487. doi: 10.1175/1520-0450(1999)038<1474:IASDSA>2.0.CO;2 CrossRefGoogle Scholar
  21. Liston GE, Sturm M (2002) Winter precipitation patterns in arctic Alaska determined from a blowing snow model and snow-depth observations. J Hydrometeorol 3:646–659. doi: 10.1175/1525-7541(2002)003<0646:WPPIAA>2.0.CO;2 CrossRefGoogle Scholar
  22. Liu D-C, Qin J-X (1997) The effects of snow disaster on animal husbandry in Xinjiang. Arid Zone Res 14:51–55 (in Chinese) Google Scholar
  23. Liu X-Y, Liang T-G, Guo Z-G (2004) Evaluating model and approach of snow disaster effect on grassland animal husbandry –A case study in Aletai Region of Xinjiang. Acta Bot Boreali-Occident Sinica. doi: 10.3321/j.issn:1000-4025.2004.01.016 (in Chinese) Google Scholar
  24. Liu X-Y, Liang T-G, Guo Z-G, Zhang X-Y (2008) Early warning and risk assessment of snow disaster in pastoral area of northern Xinjiang. Chin J Appl Ecol 19(1):133–138 (in Chinese) Google Scholar
  25. Liu F-G, Mao X-F, Zhang Y-L, Chen Q, Liu P, Zhao Z-L (2014) Risk analysis of snow disaster in the pastoral areas of the Qinghai-Tibet Plateau. J Geogr Sci 24(3):411–426. doi: 10.1007/s11442-014-1097-z CrossRefGoogle Scholar
  26. Mao K-B, Ma Y, Xia L, Shen X-Y, Sun Z-W, He T-J, Zhou G-H (2014) A neural network method for monitoring snowstorm: a case study in southern China. Chin Geogr Sci. doi: 10.1007/s11769-014-0675-4 Google Scholar
  27. Nakai S, Sato T, Sato A, Hirashima H, Sato T, Sato A, Hirashima H, Nemoto M, Motoyoshi H, Iwamoto K, Misumid R, Kamiishi I, Kobayashi T, Kosugi K, Yamaguchi S, Abe O, Ishizak M (2012) A snow disaster forecasting system (SDFS) constructed from field observations and laboratory experiments. Cold Reg Sci Technol 70:53–61. doi: 10.1016/j.coldregions.2011.09.002 CrossRefGoogle Scholar
  28. Olsen MS, Callaghan TV, Reist JD, Reiersen LO, Dahl-Jensen D, Granskog MA, Goodison B, Hovelsrud GK, Johansson M, Kallenborn R, Key J, Klepikov A, Meier W, Overland JE, Prowse TD, Sharp M, Vincent WF, Walsh J (2011) The changing arctic cryosphere and likely consequences: an overview. Ambio 40(Suppl 1):111–118. doi: 10.1007/s13280-011-0220-y CrossRefGoogle Scholar
  29. Qin D-H, Ding Y-J (2010) Key issues on cryospheric changes, trends and their impacts. Adv Clim Change Res 1(1):1–10. doi: 10.3724/SP.J.1248.2010.00001 CrossRefGoogle Scholar
  30. Qinghai Bureau of Statistics and Survey Organization of National Bureau of Statistics (QBS and SONBS) (2012) Qinghai statistical Yearbook-2012. China Statistics Press, Beijing (in Chinese)Google Scholar
  31. RandolphTF Schelling E, Grace D, Nicholson CF, Leroy JL, Cole DC, Demment MW, Omore A, Zinsstag J, Ruel M (2007) Role of livestock in human nutrition and health for poverty reduction in developing countries. J Anim Sci 85(11):2788–2800. doi: 10.2527/jas.2007-0467 CrossRefGoogle Scholar
  32. Rybråten S, Hovelsrud GK (2010) Local effects of global climate change: differential experiences of sheep farmers and reindeer herders in unjarga/nesseby, a coastal sa´mi community in Northern Norway. In: Hovelsrud GK, Smit B (eds) Community adaptation and vulnerability in arctic regions. Springer, New York, pp 313–334CrossRefGoogle Scholar
  33. Shang Z-H, Gibb MJ, Long R-J (2012) Effect of snow disasters on livestock farming in some rangeland regions of China and mitigation strategies -a review. Rangel J 34:89–101. doi: 10.1071/RJ11052 CrossRefGoogle Scholar
  34. Shestakovich N (2010) Exploratory analysis of spatial and temporal dynamics of Dzud Development in Mongolia, 1993–2004. A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in the School of Natural Resources & Environment of the University of Michigan, November 2010Google Scholar
  35. Shi P-J, Chen J (1996) Study on monitoring snow disaster in large areas supported by GIS and RS. Acta Geogr Sin 51:296–305 (in Chinese) Google Scholar
  36. Shi X-H, Li F-X, Zhaxi C-R, Guo A-H, Da C-R, Tang H-Y (2006) The variation of snow-cover and snow disaster in Qinghai during 1961–2004. J Appl Meteor Sci . doi: 10.3969/j.issn.1001-7313.2006.03.016 (in Chinese) Google Scholar
  37. Shinoda M, Morinaga Y (2005) Developing a combined drought-dzud early warning system in Mongolia. Geogr Rev Japan 78(13):928–950CrossRefGoogle Scholar
  38. Sternberg T, Batbuyan B (2013) Integrating the Hyogo Framework into Mongolia’s disaster risk reduction (DRR) policy and management. Int J Disaster Risk Red 5:1–9. doi: 10.1016/j.ijdrr.2013.05.003 CrossRefGoogle Scholar
  39. Sun D-H (1999) Heavy snow disasters of two hundred years in Tibet. China Tibetol 4:49–55 (in Chinese) Google Scholar
  40. Tachiiri K, Shinoda M, Klinkenberg B, Morinaga Y (2008) Assessing Mongolian snow disaster risk using livestock and satellite data. J Arid Environ 72(12):2251–2263. doi: 10.1016/j.jaridenv.2008.06.015 CrossRefGoogle Scholar
  41. UNEP (2012) Measuring glacier change in the Himalayas. Environ Dev 4:172–183CrossRefGoogle Scholar
  42. UNEP (2014) Where will the water go? Impacts of accelerated glacier melt in the Tropical Andes. Environ Dev 10:108–119CrossRefGoogle Scholar
  43. Wang H-B, Li Y-F, Ma Y-S (2010) Impact of natural disasters on livestock of Qinghai alpine pastoral areas. Prataculture & Anim Husb 7:27–32 (in Chinese) Google Scholar
  44. Wang W, Huang X-D, Deng J, Xie H-J, Liang T-G (2015) Spatio-temporal change of snow cover and its response to climate over the Tibetan Plateau based on an improved daily cloud-free snow cover product. Remote Sens 7:169–194. doi: 10.3390/rs70100169 CrossRefGoogle Scholar
  45. Wu J-D, Li N, Yang H-J, Li C-H (2008) Risk evaluation of heavy snow disasters using BP artificial neural network: the case of Xilingol in Inner Mongolia. Stoch Environ Res Risk A 22:719–725. doi: 10.1007/s00477-007-0181-7 CrossRefGoogle Scholar
  46. Yan Q-W (2014) Analysis on snow disaster and countermeasures in Golog prefecture, Qinghai Province. MA dissertation of Qinghai Normal University, 2014Google Scholar
  47. Yang K, Lin E-D, Gao Q-Z, Wang Y-F, Jiangcun W-Z, Wang B-S, Li W-F (2010) Simulation of climate change impacts on grassland productivity in Northern Tibet. Chin J Ecol 29(7):1469–1476 (in Chinese) Google Scholar
  48. Yeh ET, Nyima Y, Hopping KA, Klein JA (2014) Tibetan pastoralists’ vulnerability to climate change: a political ecology analysis of snowstorm coping capacity. Hum Ecol 42:61–74. doi: 10.1007/s10745-013-9625-5 CrossRefGoogle Scholar
  49. Zhang D-F, Zhang X-H (2002) Snow disaster causing mechanism of grasslands in northern China. J Nat Disasters . doi: 10.3969/j.issn.1004-4574.2002.02.014 (in Chinese) Google Scholar
  50. Zhang G-S, Fu Y, Yan L-D, Liu B-K, Shi D-J, Yang L-J (2009) Study on warning indicator system of snow disaster and risk management in headwaters region. Pratacultural Science 26(5):144–150 (in Chinese) Google Scholar
  51. Zhao Z-P, Wu X-P, Li G, Li J-S (2013) Spatial pattern and change gradient of alpine grassland in the source region of Yellow River. Pratacultural Sci 30(12):1917–1925 (in Chinese) Google Scholar
  52. Zhou L, Wang Q-J, Zhou Q (1995) Study of Alpine Meadow Ecosystem, Science Press, Beijing, pp 219–252 (in Chinese) Google Scholar
  53. Zhou L-S, Wang Q-Q, Li H-M, Zhang H-L, Li J-Y (2001) Study on real-time predictive assessment of snowstorm disaster in eastern pastoral area of Qinghai-Tibet Plateau. J Nat Disasters 10(2):58–65 (in Chinese) Google Scholar
  54. Zhou B-R, Li F-X, Shen S-H, Song L-M, Li H-M (2007) Forecasting model of snow calamity and GIS application of special analysis technology in Qinghai Plateau. J Appl Meteor Sci. doi: 10.3969/j.issn.1001-7313.2007.03.014 (in Chinese) Google Scholar

Copyright information

© Springer Japan 2015

Authors and Affiliations

  • Yi-ping Fang
    • 1
    Email author
  • Chen Zhao
    • 1
    • 2
  • Yong-jian Ding
    • 3
  • Da-he Qin
    • 3
  • Jia-li Huang
    • 1
  1. 1.Institute of Mountain Hazards & EnvironmentChinese Academy of SciencesChengduPeople’s Republic of China
  2. 2.University of Chinese Academy of SciencesBeijingPeople’s Republic of China
  3. 3.Cold and Arid Regions Environmental and Engineering Research InstituteChinese Academy of SciencesLanzhouPeople’s Republic of China

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