International socioeconomic inequality drives trade patterns in the global wildlife market.


Journal

Science advances
ISSN: 2375-2548
Titre abrégé: Sci Adv
Pays: United States
ID NLM: 101653440

Informations de publication

Date de publication:
05 2021
Historique:
received: 18 11 2020
accepted: 16 03 2021
entrez: 6 5 2021
pubmed: 7 5 2021
medline: 7 5 2021
Statut: epublish

Résumé

The wildlife trade is a major cause of species loss and a pathway for disease transmission. Socioeconomic drivers of the wildlife trade are influential at the local scale yet rarely accounted for in multinational agreements aimed at curtailing international trade in threatened species. In recent decades (1998-2018), approximately 421,000,000 threatened (i.e., CITES-listed) wild animals were traded between 226 nations/territories. The global trade network was more highly connected under conditions of greater international wealth inequality, when rich importers may have a larger economic advantage over poorer exporting nations/territories. Bilateral trade was driven primarily by socioeconomic factors at the supply end, with wealthier exporters likely to supply more animals to the global market. Our findings suggest that international policies for reducing the global wildlife trade should address inequalities between signatory states, possibly using incentive/compensation-driven programs modeled after other transnational environmental initiatives (e.g., REDD+).

Identifiants

pubmed: 33952526
pii: 7/19/eabf7679
doi: 10.1126/sciadv.abf7679
pmc: PMC8099177
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2021 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY).

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Auteurs

Jia Huan Liew (JH)

Division for Ecology and Biodiversity, School of Biological Sciences, The University of Hong Kong, Pokfulam, Hong Kong SAR. jiahuan@u.nus.edu.
Science Unit, Lingnan University, Tuen Mun, Hong Kong SAR.

Zi Yi Kho (ZY)

School of Life Sciences, The Chinese University of Hong Kong, Sha Tin, Hong Kong SAR.

Rayson Bock Hing Lim (RBH)

Department of Biological Sciences, National University of Singapore, 16 Science Drive 4, Singapore 117558, Republic of Singapore.

Caroline Dingle (C)

Division for Ecology and Biodiversity, School of Biological Sciences, The University of Hong Kong, Pokfulam, Hong Kong SAR.

Timothy Carlton Bonebrake (TC)

Division for Ecology and Biodiversity, School of Biological Sciences, The University of Hong Kong, Pokfulam, Hong Kong SAR.

Yik Hei Sung (YH)

Science Unit, Lingnan University, Tuen Mun, Hong Kong SAR.

David Dudgeon (D)

Division for Ecology and Biodiversity, School of Biological Sciences, The University of Hong Kong, Pokfulam, Hong Kong SAR.

Classifications MeSH