Assessing the global prevalence of wild birds in trade

Abstract Trade represents a significant threat to many wild species and is often clandestine and poorly monitored. Information on which species are most prevalent in trade and potentially threatened by it therefore remains fragmentary. We used 7 global data sets on birds in trade to identify species or groups of species at particular risk and assessed the extent to which they were congruent in terms of the species recorded in trade. We used the frequency with which species were recorded in the data sets as the basis for a trade prevalence score that was applied to all bird species globally. Literature searches and questionnaire surveys were used to develop a list of species known to be heavily traded to validate the trade prevalence score. The score was modeled to identify significant predictors of trade. Although the data sets sampled different parts of the broad trade spectrum, congruence among them was statistically strong in all comparisons. Furthermore, the frequency with which species were recorded within data sets was positively correlated with their occurrence across data sets, indicating that the trade prevalence score captured information on trade volume. The trade prevalence score discriminated well between species identified from semi‐independent assessments as heavily or unsustainably traded and all other species. Globally, 45.1% of all bird species and 36.7% of globally threatened bird species had trade prevalence scores ≥1. Species listed in Appendices I or II of CITES, species with large geographical distributions, and nonpasserines tended to have high trade prevalence scores. Speciose orders with high mean trade prevalence scores included Falconiformes, Psittaciformes, Accipitriformes, Anseriformes, Bucerotiformes, and Strigiformes. Despite their low mean prevalence score, Passeriformes accounted for the highest overall number of traded species of any order but had low representation in CITES appendices. Geographical hotspots where large numbers of traded species co‐occur differed among passerines (Southeast Asia and Eurasia) and nonpasserines (central South America, sub‐Saharan Africa, and India). This first attempt to quantify and map the relative prevalence in trade of all bird species globally can be used to identify species and groups of species that may be at particular risk of harm from trade and can inform conservation and policy interventions to reduce its adverse impacts.

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Publication Details

Journal
Conservation Biology
Published
2024-09-09
DOI
https://doi.org/10.1111/cobi.14350
Citations
16
Primary Topic
Wildlife Ecology and Conservation
Type
article
Field-Weighted Citation Impact
7.34

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article

Assessing the global prevalence of wild birds in trade

Paul F. Donald, Michela Busana, Dao M. Nguyen, Colum Muccio et al.
16 citations
Conservation Biology
Wildlife Ecology and Conservation
7.34
article

Assessing the global prevalence of wild birds in trade

Paul F. Donald, Michela Busana, Dao M. Nguyen, Colum Muccio, Rocío Lapido, Serene Chng, Kelly Malsch, Alicia de la Colina, Oliver Tallowin, Silviu O. Petrovan, Juliana Machado Ferreira, C. A. Stafford, Lauren Brown, Eresha Fernando, Stuart H. M. Butchart, Anuj Jain, William J. Sutherland, Willow Outhwaite, Amy McDougall, Victoria R. Jones, Roger Safford
article en
16 citations

Abstract

Abstract Trade represents a significant threat to many wild species and is often clandestine and poorly monitored. Information on which species are most prevalent in trade and potentially threatened by it therefore remains fragmentary. We used 7 global data sets on birds in trade to identify species or groups of species at particular risk and assessed the extent to which they were congruent in terms of the species recorded in trade. We used the frequency with which species were recorded in the data sets as the basis for a trade prevalence score that was applied to all bird species globally. Literature searches and questionnaire surveys were used to develop a list of species known to be heavily traded to validate the trade prevalence score. The score was modeled to identify significant predictors of trade. Although the data sets sampled different parts of the broad trade spectrum, congruence among them was statistically strong in all comparisons. Furthermore, the frequency with which species were recorded within data sets was positively correlated with their occurrence across data sets, indicating that the trade prevalence score captured information on trade volume. The trade prevalence score discriminated well between species identified from semi‐independent assessments as heavily or unsustainably traded and all other species. Globally, 45.1% of all bird species and 36.7% of globally threatened bird species had trade prevalence scores ≥1. Species listed in Appendices I or II of CITES, species with large geographical distributions, and nonpasserines tended to have high trade prevalence scores. Speciose orders with high mean trade prevalence scores included Falconiformes, Psittaciformes, Accipitriformes, Anseriformes, Bucerotiformes, and Strigiformes. Despite their low mean prevalence score, Passeriformes accounted for the highest overall number of traded species of any order but had low representation in CITES appendices. Geographical hotspots where large numbers of traded species co‐occur differed among passerines (Southeast Asia and Eurasia) and nonpasserines (central South America, sub‐Saharan Africa, and India). This first attempt to quantify and map the relative prevalence in trade of all bird species globally can be used to identify species and groups of species that may be at particular risk of harm from trade and can inform conservation and policy interventions to reduce its adverse impacts.

Conservation BiologyVol. 38(5)
UN Environment Programme World Conservation Monitoring Centre (GB), University of Cambridge (GB), International Union for Conservation of Nature (United Kingdom) (GB), BirdLife international (GB), International Union for Conservation of Nature (CH)
Arcadia Fund, UK Research and Innovation, A.G. Leventis Foundation, Isaac Newton Trust, Prince Albert II of Monaco Foundation, Cambridge Conservation Initiative
Reduced inequalities
Openalex Percentile: Top 3%
Wildlife Ecology and Conservation
7.34
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