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Wildlife Research Wildlife Research Society
Ecology, management and conservation in natural and modified habitats
CORRIGENDUM

Corrigendum to: Livestock depredation by large carnivores in the South Gobi, Mongolia

Tserennadmid Nadia Mijiddorj, Justine Shanti Alexander, Gustaf Samelius, Ruchi Badola, G. S. Rawat and Sutirtha Dutta

Wildlife Research 45(4) 381 - 381
Published: 26 July 2018

Abstract

Context Livestock depredation is a major conservation challenge around the world, causing considerable economical losses to pastoral communities and often result in retaliatory killing. In Mongolia, livestock depredation rates are thought to be increasing due to changes in pastoral practices and the transformation of wild habitats into pasture lands. Few studies have examined the interactions between humans and carnivores and even fewer have considered how recent changes in pastoral practices may affect depredation rates.

Aim

This study aimed to assess the influence of herding practices on self-reported livestock losses to snow leopards and wolves in two communities in South Gobi, Mongolia.

Methods

In total, 144 herder households were interviewed and an information-theoretic approach was used to analyse the factors influencing self-reported livestock losses to snow leopards and wolves.

Key results

The majority of self-reported losses to both snow leopards and wolves occurred when herds were left unattended in the pastures. The economic loss associated with livestock losses to snow leopards and wolves amounted to an average loss of US$825 per herder and year. The number of livestock owned by a household and the frequency of shifting campsite had the strongest influence on livestock losses to snow leopards and wolves. Other determinants of livestock losses included frequency of visiting the soum (county) centre.

Implications

On the basis of the findings, we make recommendations for mitigating the conflict with large carnivores, with focus on guiding future herding practices.

https://doi.org/10.1071/WR18009_CO

© CSIRO 2018

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