Abstract
Mass livestock mortality events during severe winters, a phenomenon that Mongolians call dzud, cause the country significant socioeconomic problems. Dzud is an example of a compound event, meaning that multiple climatic and social drivers contribute to the risk of occurrence. Existing studies argue that the frequency and intensity of dzud are rising due to the combined effects of climate change and variability, most notably summer drought and severe winter conditions, on top of socioeconomic dynamics such as overgrazing. Summer droughts are a precondition for dzud because scarce grasses cause malnutrition, which in turn makes livestock more vulnerable to harsh winter conditions. However, these studies typically look at a short time frame (i.e., after 1940); few have investigated either the risk or the recurrence of dzud over a century-scale climate record. This study aims to fill the gaps in technical knowledge about the recurrence probability of dzud by estimating the return levels of relevant climatic variables: summer drought conditions and winter minimum temperature. We divide the country into three regions (Northwest, Southwest, and East Mongolia) based on the mortality index at the soum (county) level. For droughts, our study uses as a proxy the tree-ring reconstructed Palmer Drought Severity Index (PDSI) for three regions between 1700–2013. For winter severity, our study uses observational data of winter minimum temperature after 1901 while inferring winter minimum temperature in Mongolia from instrumental data in Siberia that extends to the early 19th century. The Generalized Extreme Value (i.e., the statistical method to infer the probability of very rare or extreme events) shows that the return levels of drought conditions are changing over time, with variability increasing for all the regions. Winter severity, however, is constant. The median 100-year return levels of the winter minimum temperature in Mongolia have been, over the past 300 years, −26.08 °C for the Southwest, −27.99 °C for the Northwest, and −25.31 °C for the East. This study thus suggests that continued summer drought would lead to increased vulnerability and malnutrition. Here, we link meteorological characteristics to socioeconomic impacts related to livestock populations and draws attention to the need for livestock index insurance.
Highlights
Mass livestock mortality induced by dry summers followed by unusually cold and/or snowy winters, known as dzud, causes problems for pastoral herding and the economy in Mongolia.1 A total of 20 million livestock died of climate extremes from 2000-2002, and 2009-2010 (Rao et al, 2015)
All the results show that the Palmer Drought Severity Index (PDSI) values will follow the distributions with ε
With a threshold of 1 for the GPDs, the stationary models perform better than the non-stationary models, which indicate that all trends in reconstructed PDSI values are influenced by small events, not by extreme events; i.e
Summary
Mass livestock mortality induced by dry summers followed by unusually cold and/or snowy winters, known as dzud, causes problems for pastoral herding and the economy in Mongolia. A total of 20 million livestock died of climate extremes from 2000-2002, and 2009-2010 (Rao et al, 2015). Along with other socio-economic factors, such as overgrazing, livestock mortality is caused and exacerbated by the following climate factors: summer drought, heavy snow, and high winds in concurrence with extreme cold winter temperature (Morinaga et al, 2003). Extreme cold temperature as well as exposure to storms or high winds cause livestock to freeze to death while heavy snow, ice or drought, prevent livestock from grazing and accessing fodder, which results in weakening immune system response and starvation (Fernandez-Gimenez et al, 2012; Rao et al, 2015; Begzsuren et al, 2004; Morinaga et al, 2003). The climate factors that contributed to the dzud in 1999-2002 and 2009-2010 were summer drought followed by extreme cold and snowfall in winter (Field, 2012). The index-based livestock insurance program (IBLIP) was institutionalized in 2014 to respond to the
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