AI Article Synopsis

  • * The proposed framework uses four geopolitical storylines based on trade barriers and law enforcement to analyze and predict bird trade patterns, leveraging historical data for accuracy.
  • * To mitigate wildlife trade risks, it’s essential to reduce demand for wildlife and address global inequality, while the framework can guide policy and legislative efforts in this area.

Article Abstract

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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9180917PMC
http://dx.doi.org/10.1093/biosci/biac015DOI Listing

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