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Global dataset for seized and non-intercepted illegal cheetah trade (Acinonyx jubatus) 2010–2019
- Source :
- Data in Brief, Vol 35, Iss, Pp 106848-(2021)
- Publication Year :
- 2021
- Publisher :
- Elsevier, 2021.
-
Abstract
- Cheetahs (Acinonyx jubatus) are a keystone predator of savanna systems in Africa, yet their populations have dramatically declined due to pressures such as human-wildlife conflict, loss of habitat, and most notably the illegal trade in live cheetah cubs as pets. We provide the most extensive dataset relevant to seized and non-intercepted illegal trade in live cheetahs and cheetah parts for the decade 2010-2019, spanning over 300 sources and 56 countries in Africa, the Middle East, Asia, Europe, Oceania and North America. It includes 1,884 individual incidents involving at least 4,000 cheetahs or cheetah parts or products likely or confirmed to breach national laws or CITES regulations. While the covert nature of illegal trade of any kind makes it extremely difficult to capture its true volume, we believe that the information contained in this dataset demonstrates the need for a more in-depth look into illegal cheetah trade, including sustainability assessments with emphasis in regions where cheetah populations are small and widely exploited, such as the Horn of Africa, as this dataset suggests. Ultimately, such actions could lead to improved enforcement and legal frameworks, and provide a guide for CITES actions involving international cooperation and demand reduction efforts.
- Subjects :
- Demand reduction
Science (General)
Computer applications to medicine. Medical informatics
R858-859.7
International trade
Social media
03 medical and health sciences
Q1-390
0302 clinical medicine
biology.animal
Acinonyx jubatus
Keystone species
Enforcement
030304 developmental biology
0303 health sciences
Multidisciplinary
biology
CITES
business.industry
Cheetah
Pet trade
Illegal wildlife trade
Wildlife trade
Cybercrime
Geography
Sustainability
business
030217 neurology & neurosurgery
Subjects
Details
- Language :
- English
- ISSN :
- 23523409
- Volume :
- 35
- Database :
- OpenAIRE
- Journal :
- Data in Brief
- Accession number :
- edsair.doi.dedup.....3fe84784cd6427410e0691917e9430ec