Exploring the Effects of Geopolitical Shifts on Global Wildlife Trade.

biological invasions law enforcement socioeconomic scenarios trade barriers

Journal

Bioscience
ISSN: 0006-3568
Titre abrégé: Bioscience
Pays: England
ID NLM: 0231737

Informations de publication

Date de publication:
Jun 2022
Historique:
entrez: 13 6 2022
pubmed: 14 6 2022
medline: 14 6 2022
Statut: epublish

Résumé

International wildlife trade is a major driver of species extinction and biological invasions. Anticipating environmental risks requires inferences about trade patterns, which are shaped by geopolitics. Although the future cannot be predicted, scenarios can help deal with the uncertainty of future geopolitical dynamics. We propose a framework for generating and analyzing scenarios based on four geopolitical storylines, distinguished by combinations of international trade barrier strength and domestic law enforcement degree across countries supplying and demanding wildlife. We then use historical data on bird trade to classify countries into geopolitical profiles and confirm that trade barriers and law enforcement allow predicting bird trade patterns, supporting our scenarios' plausibility and enabling projections for future global bird trade. Our framework can be used to examine the consequences of geopolitical changes for wildlife trade and to advise policy and legislation. Reducing demand for wildlife and ameliorating global inequality are key for curbing trade related risks.

Identifiants

pubmed: 35692962
doi: 10.1093/biosci/biac015
pii: biac015
pmc: PMC9180917
doi:

Types de publication

Journal Article

Langues

eng

Pagination

560-572

Informations de copyright

© The Author(s) 2022. Published by Oxford University Press on behalf of the American Institute of Biological Sciences.

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Auteurs

Joana Ribeiro (J)

University of Porto, Porto, Portugal.

Pedro Bingre (P)

Coimbra Polytechnic, Coimbra, Portugal.

Diederik Strubbe (D)

University of Ghent, Ghent, Belgium.

Joana Santana (J)

University of Porto, Porto, Portugal.

César Capinha (C)

University of Lisbon, Lisbon, Portugal.

Miguel B Araújo (MB)

University of Évora, Évora, Portugal.

Luís Reino (L)

University of Porto, Porto, Portugal.

Classifications MeSH