Evidence map›Paper›PMID 36848572›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2023

Advancing interdisciplinary science for disrupting wildlife trafficking networks.

Meredith L Gore, Emily Griffin, Bistra Dilkina, Aaron Ferber, Stanley E Griffis, Burcu B Keskin, John Macdonald

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. How illegal wildlife trade adheres to and defies conventional market behavior.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Article
  4. Mapping illegal trade routes of live cheetahs from the Horn of Africa to the Arabian Peninsula.Conservation biology : the journal of the Society for Conservation Biology · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Meredith L GoreDepartment of Geographical Sciences, University of Maryland, College Park, MD 20742.ORCID 0000-0002-2613-4715
Emily GriffinOperations Management and Information Division, Babson College, Babson Park, MA 02457.ORCID 0000-0001-5434-6136
Bistra DilkinaViterbi School of Engineering, University of Southern California, Los Angeles, CA 90089.ORCID 0000-0002-6784-473X
Aaron FerberViterbi School of Engineering, University of Southern California, Los Angeles, CA 90089.
Stanley E GriffisLogistics and Supply Chain Management, Michigan State University, East Lansing, MI 48823.ORCID 0000-0001-5973-4939
Burcu B KeskinDepartment of Information Systems, Statistics, and Management Science, University of Alabama, Tuscaloosa, AL 35487.ORCID 0000-0002-2273-1002
John MacdonaldDepartment of Management, Colorado State University, Fort Collins, CO 80523.ORCID 0000-0001-6229-0312

Funding

National Science Foundation (NSF) 1935451National Science Foundation (NSF) 2039951
6 · The paper itself

Abstract

Wildlife trafficking, whether local or transnational in scope, undermines sustainable development efforts, degrades cultural resources, endangers species, erodes the local and global economy, and facilitates the spread of zoonotic diseases. Wildlife trafficking networks (WTNs) occupy a unique gray space in supply chains-straddling licit and illicit networks, supporting legitimate and criminal workforces, and often demonstrating high resilience in their sourcing flexibility and adaptability. Authorities in different sectors desire, but frequently lack knowledge about how to allocate resources to disrupt illicit wildlife supply networks and prevent negative collateral impacts. Novel conceptualizations and a deeper scientific understanding of WTN structures are needed to help unravel the dynamics of interaction between disruption and resilience while accommodating socioenvironmental context. We use the case of ploughshare tortoise trafficking to help illustrate the potential of key advancements in interdisciplinary thinking. Insights herein suggest a significant need and opportunity for scientists to generate new science-based recommendations for WTN-related data collection and analysis for supply chain visibility, shifts in illicit supply chain dominance, network resilience, or limits of the supplier base.

Indexed as

Animals, WildCriminalsAnimalsConcept FormationData CollectionHumansWildlife Tradegreen security gamesillegal wildlife tradeillicit networksoperations researchsupply chain resilience

Identifiers

PMID36848572
PMCPMC10013838

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.