Skip to main content

Moving beyond simple descriptive statistics in the analysis of online wildlife trade: an example from clustering and ordination

Lee, Tamsin E., Roberts, David L. (2020) Moving beyond simple descriptive statistics in the analysis of online wildlife trade: an example from clustering and ordination. Tropical Conservation Science, 13 . ISSN 1940-0829. (doi:10.1177/1940082920958401) (KAR id:82912)

PDF Publisher pdf
Language: English


Creative Commons Licence
This work is licensed under a Creative Commons Attribution 4.0 International License.
Download (537kB) Preview
Official URL
https://doi.org/10.1177/1940082920958401

Abstract

Collecting data for reports on online wildlife trade is resource-intensive and time-consuming. Learning often focuses on the main item traded by each country only. However, online trade is increasing, providing potential to update the conversation from a national scale to a global scale. We demonstrate how hierarchical clustering can identify wildlife items that follow similar trading patterns. We also ordinate the clusters, and seek correlations between the clusters and global measures, such as Worldwide Governance Indicators. We primarily use a sample dataset from a published report of online traded wildlife, covering 16 countries and 31 taxa or product types. Clustering provided immediate insights, such as rhinos and pangolins were traded similarly to ivory and suspected ivory. Five out of eight clusters represented items predominately traded by one country. An ordination of these clusters, and representation of global measures on the ordination axis, show a strong correlation of the ‘Voice and accountability' score with the clusters. Consequently, from the ‘Voice and accountability' score of the United States, a country not included in our dataset, we inferred that it traded elephant items (not ivory) and owl items during 2014.

Item Type: Article
DOI/Identification number: 10.1177/1940082920958401
Uncontrolled keywords: association; CITES; e-commerce; demand side; illegal trade; threatened space
Subjects: Q Science > QH Natural history > QH75 Conservation (Biology)
Divisions: Faculties > Social Sciences > School of Anthropology and Conservation > Biodiversity Conservation Group
Faculties > Social Sciences > School of Anthropology and Conservation > Biodiversity Management Group
Faculties > Social Sciences > School of Anthropology and Conservation > DICE (Durrell Institute of Conservation and Ecology)
Depositing User: David Roberts
Date Deposited: 14 Sep 2020 19:14 UTC
Last Modified: 15 Sep 2020 08:54 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/82912 (The current URI for this page, for reference purposes)
Roberts, David L.: https://orcid.org/0000-0001-6788-2691
  • Depositors only (login required):