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We report findings from the first survey for Mongolian saiga to utilize statistically rigorous methodology, using line transect distance sampling in 2006 and 2007 to obtain population estimates in and around the Sharga Nature Reserve, the southern part of the species current range.
Saiga have faced the long term threat of climate change and now the more immediate danger of human persecution and habitat degradation. In less than two decades, numbers have dropped 95% from 1,000,000 to 50,000.
The current but untested hypothesis is that a combination of unusual weather, topography and pasture improvement resulted in fast-growing, moist and atypically composed forage, which caused a form of metabolite toxicosis. An analysis of assumptions underlying this hypothesis using meteorological data and satellite imagery revealed that neither temporal variation in weather nor highly-productive, moist forage are likely to have been factors in the die-offs; although significantly lower vegetation or soil moisture in die-off zones than in the surrounding landscape indicates events were location-dependent, and therefore precipitated by changes in calving site selection driven by human…
The die-offs were very location specific and individuals from the same sub-population who grazed elsewhere suffered no mortality event. Adult antelope died suddenly whilst grazing, and calves died subsequently, apparently as a result of starvation.Acute pulmonary oedema and emphysema (APE), or fog fever, results from sudden expose to lush vegetation and is proposed as the cause of this die- off due to the observed acute and pasture-related nature of the mortality events.
One of the hypotheses is that an environmental factor triggered the precipitation of a polymicrobial disease, primarily haemorrhagic septicaemia caused by Pasteurella multocida serotype B. This study describes gross pathological findings obtained during field investigations and tests if weather conditions preceding the outbreaks acted as a common trigger. For this purpose, weather conditions at different known die-off sites were compared with those from unaffected sites, using meteorological data from regional, ground-based weather stations.