System for Elephant Ear-pattern Knowledge (SEEK) to identify individual African elephants

Author(s)
Bedetti, Anka
Greyling, Cathy
Paul, Barry
Blondeau, Jennifer
Clark, Amy
Malin, Hannah
Horne, Jackie
Makukule, Ronny
Wilmot, Jessica
Eggeling, Tammy
Kern, Julie
Henley, Michelle
Publication Date
2020-10-08
Abstract
Elephant numbers have drastically declined over the past century with illegal killings, habitat fragmentation and human-elephant-conflict representing the greatest threats. Information on estimates of abundance and demographics are important to understand the long-term implications of these threats. Mark-resighting studies can provide valuable insights but depend on the individual identification of numerous elephants within populations across both Africa and Asia. Most photographic elephant identification studies are still reliant on human memory and manual matching of known individuals. A process that is not only labour intensive but also largely dependent on experiential skills that need to be developed over time by researchers. Over the course of almost 25 years, Elephants Alive has developed a unique System of Elephant Ear-pattern Knowledge (SEEK), which makes allowance for rapid individual identification of savannah elephants with reduced observer bias using basic software while also accommodating missing information or changes in identification features over time.
Citation
Pachyderm, v.61, p. 63-77
ISSN
1683-5018
1026-2881
Link
Language
en
Publisher
Species Survival Commission - African Elephant and Rhino Specialist Group
Title
System for Elephant Ear-pattern Knowledge (SEEK) to identify individual African elephants
Type of document
Journal Article
Entity Type
Publication

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