Identification

Title

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

Abstract

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

Resource type

dataset

Resource locator

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

name: Download the data

description: Download a copy of this data

function: download

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

name: Supporting information

description: Supporting information available to assist in re-use of this dataset

function: information

Unique resource identifier

code

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

codeSpace

doi:

Dataset language

eng

Spatial reference system

code identifying the spatial reference system

Classification of spatial data and services

Topic category

environment

Keywords

Keyword set

keyword value

Species Distribution

originating controlled vocabulary

title

GEMET - INSPIRE themes, version 1.0

reference date

date type

publication

effective date

2008-06-01

Geographic location

West bounding longitude

65.45

East bounding longitude

67.49

North bounding latitude

51.8

South bounding latitude

49.74

Temporal reference

Temporal extent

Begin position

2015-05-01

End position

2015-05-31

Dataset reference date

date type

publication

effective date

2018-09-10

date type

creation

effective date

2018-06-05

Frequency of update

Quality and validity

Lineage

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.

Conformity

Conformity report

specification

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

reference date

date type

publication

effective date

2010-12-08

degree

explanation

Data format

name of format

Semi-colon delimited text file

version of format

Constraints related to access and use

Constraint set

Limitations on public access

Constraint set

Limitations on public access

Constraint set

Limitations on public access

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

Responsible organisations

Responsible party

organisation name

email address

Fsanchez5@rvc.ac.uk

responsible party role

pointOfContact

Responsible party

organisation name

Unaffiliated

email address

Fsanchez5@rvc.ac.uk

web address

https://orcid.org/0000-0003-2164-385X

name: ORCID record

description: ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers.

function: information

responsible party role

author

Responsible party

organisation name

email address

rkock@rvc.ac.uk

web address

https://orcid.org/0000-0002-6561-3209

name: ORCID record

description: ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers.

function: information

responsible party role

author

Responsible party

organisation name

email address

info@eidc.ac.uk

responsible party role

publisher

Responsible party

organisation name

email address

info@eidc.ac.uk

responsible party role

custodian

Metadata on metadata

Metadata point of contact

organisation name

full postal address

Lancaster Environment Centre, Library Avenue, Bailrigg

Lancaster

LA1 4AP

UK

email address

info@eidc.ac.uk

web address

https://eidc.ac.uk/

name: EIDC website

description: The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences.

function: information

responsible party role

pointOfContact

Metadata date

2025-03-21T10:51:10

Metadata language

eng