Pathological findings in the mass mortality event of saiga antelope, May 2015

Field-pathological findings of 33 saiga antelope carcasses (adults and new-born) found in two sites (Tengiz and Turgai, Kazakhstan) during a mass die-off event in May 2015. In Kazakhstan May 2015, approximately 200,000 saiga antelopes died within a month-period causing a loss of two-thirds of the global population. The dramatic event occurred during calving season when females and young males stop migrating and form massive aggregations for calving purposes. With 100% morbidity and 100% mortality of affected herds observed, the 2015 die-off left the largest saiga population, Betpak-Dala, with approximately 30,000 survivors based on post mortality census, highlighting the imminent extinction threats to this critically endangered species. The lack of pathological investigations during historical mass mortality events has limited our understanding of disease-related mortalities in saiga antelope. Generally, aetiological agents were isolated from dead saiga, but the disease course and a full necropsy were not performed nor present in the records. However, for the first time, a full pathology report was possible during 2015. Full details about this dataset can be found at https://doi.org/10.5285/30cbfba7-f9a1-47d5-abdb-f2741041e487

Date (Publication): 2018-09-10

Date (Creation): 2018-06-05

Citation identifier: https://catalogue.ceh.ac.uk/id/30cbfba7-f9a1-47d5-abdb-f2741041e487

Citation identifier: doi: / 10.5285/30cbfba7-f9a1-47d5-abdb-f2741041e487

Other citation details: Sánchez-Monge, F., Kock, R.A. (2018). Pathological findings in the mass mortality event of saiga antelope, May 2015. NERC Environmental Information Data Centre 10.5285/30cbfba7-f9a1-47d5-abdb-f2741041e487

Point of contact

Organisation name	Individual name	Electronic mail address	Role
Royal Veterinary College of London	Sánchez-Monge, F.	Fsanchez5@rvc.ac.uk	Point of contact
Unaffiliated	Sánchez-Monge, F.	Fsanchez5@rvc.ac.uk	Author
Royal Veterinary College of London	Kock, R.A.	rkock@rvc.ac.uk	Author
NERC Environmental Information Data Centre		info@eidc.ac.uk	Publisher
NERC EDS Environmental Information Data Centre		info@eidc.ac.uk	Custodian

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Saiga antelope

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Other constraints: If you reuse this data, you should cite: Sánchez-Monge, F., Kock, R.A. (2018). Pathological findings in the mass mortality event of saiga antelope, May 2015. NERC Environmental Information Data Centre https://doi.org/10.5285/30cbfba7-f9a1-47d5-abdb-f2741041e487

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Distance: 100 urn:ogc:def:uom:EPSG::9001

Language: English

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Begin date: 2015-05-01

End date: 2015-05-31

Unique resource identifier: WGS 84

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NERC EDS Environmental Information Data Centre		info@eidc.ac.uk	Distributor

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	https://data-package.ceh.ac.uk/data/30cbfba7-f9a1-47d5-abdb-f2741041e487	Download the data

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	https://data-package.ceh.ac.uk/sd/30cbfba7-f9a1-47d5-abdb-f2741041e487.zip	Supporting information

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Title: Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services

Date (Publication): 2010-12-08

Statement: Sixteen saiga carcasses were necropsied in Tengiz Oblast (thirteen adults and three new-borns), and eighteen carcasses in Turgai Oblast (twelve adults and six new-borns). Field necropsy procedures were followed according to: Munson, L., Necropsy of Wild Animals. University of California. 2006. Samples were fixed in formal saline and shipped and processed at the Royal Veterinary College (RVC), UK. Samples from Turgai were processed at RVC and from Tengiz were processed initially at the Research Institute for Biological Safety Problems (RIBSP), Kazakhstan and re-processed at the RVC. Sample and slide preparation at the RVC is described in Martineau, H.M. Histopathology of Tissues from Saiga Antelope: Turgai. Pathology and Pathogen Biology Department, Royal Veterinary College of London, UK. Samples were analysed at the RVC and then sent to the Forest School of Medicine, NC, USA for review.

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File identifier: 30cbfba7-f9a1-47d5-abdb-f2741041e487 XML

Metadata language: English

Character set: 8859 Part 1

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Hierarchy level name: dataset

Date stamp: 2025-11-21T09:52:52

Metadata standard name: UK GEMINI

Metadata standard version: 2.3

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NERC EDS Environmental Information Data Centre		info@eidc.ac.uk	Point of contact

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