Literature DB >> 20408867

Dealing with the clandestine nature of wildlife-trade market surveys.

Shannon M Barber-Meyer1.   

Abstract

Illegal international trade in wildlife (excluding fisheries and timber) has been valued at more than US$20 billion. A more precise figure has not been determined in part because of the clandestine nature of the trade, and for this same reason even regional and local levels of wildlife trade are difficult to assess. The application of recent developments in wildlife field-survey methods (e.g., occupancy) now allows for a more-accurate estimation of wildlife trade occurrence, including its hidden components at a variety of scales (e.g., regional, local) and periods (e.g., single season, 1 year, multiple years). Occupancy models have been applied in wildlife field studies to address the problem of false absences when conducting presence-absence surveys. Occupancy surveys differ from traditional presence-absence surveys because they incorporate repeat surveys, allowing for the likelihood of detecting a species (the probability of detection) to be estimated explicitly (in contrast to traditional surveys that often incorrectly treat this probability as close to one to allow for estimation of presence). Occupancy methods can be applied to a variety of wildlife-trade surveys, including, for example, single-species availability, links between two illegally traded species (i.e., co-occurrence), and disease occurrence in live trade. In addition, free user-friendly software (i.e., PRESENCE) allows even nonstatisticians to adequately address this issue. I simulated a hypothetical wildlife-trade market survey that resulted in an apparent 20% decline in naïve occupancy (proportion of surveyed towns engaged in the trade) over 2 years, but when I accounted for change in probability of detection over the years the difference in occupancy was not statistically significant. As more sophisticated methods, such as occupancy, are applied to wildlife-trade market surveys, results will be more robust and defensible and therefore, theoretically, more powerful when presented to conservation policy and decision makers.

Mesh:

Year:  2010        PMID: 20408867     DOI: 10.1111/j.1523-1739.2010.01500.x

Source DB:  PubMed          Journal:  Conserv Biol        ISSN: 0888-8892            Impact factor:   6.560


  9 in total

1.  Digital surveillance: a novel approach to monitoring the illegal wildlife trade.

Authors:  Amy L Sonricker Hansen; Annie Li; Damien Joly; Sumiko Mekaru; John S Brownstein
Journal:  PLoS One       Date:  2012-12-07       Impact factor: 3.240

2.  Tiger density in a tropical lowland forest in the Eastern Himalayan Mountains.

Authors:  Randeep Singh; Devendra Singh Chauhan; Sudhanshu Mishra; Paul R Krausman; Surendra Prakash Goyal
Journal:  Springerplus       Date:  2014-08-24

3.  Egg forensics: an appraisal of DNA sequencing to assist in species identification of illegally smuggled eggs.

Authors:  Megan L Coghlan; Nicole E White; Liza Parkinson; James Haile; Peter B S Spencer; Michael Bunce
Journal:  Forensic Sci Int Genet       Date:  2011-07-07       Impact factor: 4.882

4.  Illegal trade of songbirds: an analysis of the activity in an area of northeast Brazil.

Authors:  Wallisson Sylas Luna de Oliveira; Anna Karolina Martins Borges; Sérgio de Faria Lopes; Alexandre Vasconcellos; Rômulo Romeu Nóbrega Alves
Journal:  J Ethnobiol Ethnomed       Date:  2020-03-30       Impact factor: 2.733

5.  The complete mitochondrial genome of yellow-bibbed lory, Lorius chlorocercus (Psittaciformes Psittacidae), with its phylogenetic relationship.

Authors:  Yun-Xia Chen
Journal:  Mitochondrial DNA B Resour       Date:  2019-11-11       Impact factor: 0.658

6.  Disentangling the Legal and Illegal Wildlife Trade-Insights from Indonesian Wildlife Market Surveys.

Authors:  Vincent Nijman; Thais Q Morcatty; Kim Feddema; Marco Campera; K A I Nekaris
Journal:  Animals (Basel)       Date:  2022-03-02       Impact factor: 2.752

7.  Evaluating the reliability of media reports for gathering information about illegal wildlife trade seizures.

Authors:  Kumar Paudel; Amy Hinsley; Diogo Veríssimo; Ej Milner-Gulland
Journal:  PeerJ       Date:  2022-04-05       Impact factor: 2.984

8.  Tradition and trade: culture and exploitation of avian fauna by a rural community surrounding protected areas in the south of Bahia's State, Northeastern Brazil.

Authors:  Antonio Iderval Sodré Neto; Ricardo Evangelista Fraga; Alexandre Schiavetti
Journal:  J Ethnobiol Ethnomed       Date:  2022-03-08       Impact factor: 2.733

9.  Wildlife trade shifts from brick-and-mortar markets to virtual marketplaces: A case study of birds of prey trade in Thailand.

Authors:  Penthai Siriwat; Vincent Nijman
Journal:  J Asia Pac Biodivers       Date:  2020-03-25
  9 in total

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