Przewalski's Horse (Equus ferus przewalskii) Re-introduction in the Great Gobi B Strictly Protected Area: from Species to Ecosystem Conservation.

The Przewalski's horse (Equus ferus przewalskii Poljakov, 1881), or "Takhi" in Mongolian, became extinct in the wild by the mid 1960's. The last recorded sightings of Przewalski's horses occurred in the Dzungarian Gobi desert in SW Mongolia, today's Great Gobi B Strictly Protected Area (SPA). A re-introduction program was initiated in 1992 and the first group of captive-born Przewalski's horses was airlifted to the SPA. Given the logistical challenges associated with such a venture, the initial project focus has been on transport logistics and the well-being of the re-introduced horses. Today, conservation efforts are spread over the entire protected area. Present day efforts include other mammals, vegetation and the local people. Due to its important symbolic value in Mongolian culture, the Przewalski's horse became an important flagship species for the protected area's conservation and management.

Relationships between climate, productivity and vegetation in southern Mongolian drylands.

We assessed the relationship between open-source data on net primary production and precipitation for the southern Mongolian Gobi, and related this information to data obtained from a set of 1418 vegetation relevés sampled in the region. Gradients determining plant community diversity and composition were examined, and the relation between α-diversity and key environmental parameters was tested.The correlation between net primary production and precipitation within our working area was fairly high (r(2) = 0.66). The variance of the net primary production was related to the average annual precipitation; at sites with more than ~220 mm/a precipitation the median coefficient of variation in productivity data decreased, indicating a rather gradual shift from a non-equilibrium ecosystem towards an equilibrium ecosystem with increasing moisture. A DCA-ordination showed that the main gradient in plant community composition was closely correlated to environmental variables for altitude, precipitation and net primary production. All three parameters were also significant predictors of the species diversity. The final model, which included an additional quadratic term for longitude, predicted local plant biodiversity at r(2) = 0.57.The results can be directly applied to both resource management and nature conservation within the area. For future studies a closer focus on the characterisation of non-equilibrium rangelands based on modelled productivity layers is suggested.