Paul F. Donald, Eresha Fernando, Lauren Brown, Michela Busana, Stuart H. M. Butchart, Serene Chng, Alicia de la Colina, Juliana Machado Ferreira, Anuj Jain, Victoria R. Jones, Rocio Lapido, Kelly Malsch, Amy McDougall, Colum Muccio, Dao Nguyen, Willow Outhwaite, Silviu O. Petrovan, Ciara Stafford, William J. Sutherland, Oliver Tallowin, Roger Safford
{"title":"Assessing the global prevalence of wild birds in trade","authors":"Paul F. Donald, Eresha Fernando, Lauren Brown, Michela Busana, Stuart H. M. Butchart, Serene Chng, Alicia de la Colina, Juliana Machado Ferreira, Anuj Jain, Victoria R. Jones, Rocio Lapido, Kelly Malsch, Amy McDougall, Colum Muccio, Dao Nguyen, Willow Outhwaite, Silviu O. Petrovan, Ciara Stafford, William J. Sutherland, Oliver Tallowin, Roger Safford","doi":"10.1111/cobi.14350","DOIUrl":null,"url":null,"abstract":"<p>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.</p>","PeriodicalId":5,"journal":{"name":"ACS Applied Materials & Interfaces","volume":null,"pages":null},"PeriodicalIF":8.3000,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/cobi.14350","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Materials & Interfaces","FirstCategoryId":"93","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/cobi.14350","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
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.
贸易对许多野生物种构成重大威胁,而且往往是秘密进行的,监测不力。因此,关于哪些物种在贸易中最为普遍并可能受到贸易威胁的信息仍然很零散。我们利用全球 7 个鸟类贸易数据集来确定面临特别风险的物种或物种群,并评估它们与贸易中记录的物种的一致程度。我们以数据集中记录物种的频率为基础,对全球所有鸟类物种的贸易流行率进行评分。通过文献检索和问卷调查,我们列出了一份已知贸易量较大的物种清单,以验证贸易流行率得分。对该评分进行建模,以确定重要的贸易预测因素。尽管数据集对广泛贸易范围的不同部分进行了采样,但在所有比较中,数据集之间的一致性在统计学上都很强。此外,数据集内记录物种的频率与其在各数据集的出现频率呈正相关,这表明贸易流行率得分捕捉到了贸易量的信息。在半独立评估中被确定为贸易量大或不可持续的物种与所有其他物种之间,贸易流行率得分能很好地进行区分。在全球范围内,45.1% 的鸟类物种和 36.7% 的全球濒危鸟类物种的贸易流行率得分≥1。被列入《濒危野生动植物种国际贸易公约》附录 I 或附录 II 的物种、地理分布广的物种和非食肉鸟类的贸易流行率得分往往较高。平均贸易流行率得分较高的物种目包括隼形目、鹦形目、杓形目、雉形目、琥珀形目和箭形目。雀形目尽管平均流行率得分较低,但在所有目中被交易的物种总数最多,但在《濒危野生动植物种国际贸易公约》附录中的代表性较低。被动目(东南亚和欧亚大陆)和非被动目(南美洲中部、撒哈拉以南非洲和印度)中出现大量交易物种的热点地区各不相同。这是对全球所有鸟类物种在贸易中的相对普遍性进行量化和绘图的首次尝试,可用于识别可能特别容易受到贸易伤害的物种和物种群,并为保护和政策干预提供信息,以减少贸易的不利影响。
期刊介绍:
ACS Applied Materials & Interfaces is a leading interdisciplinary journal that brings together chemists, engineers, physicists, and biologists to explore the development and utilization of newly-discovered materials and interfacial processes for specific applications. Our journal has experienced remarkable growth since its establishment in 2009, both in terms of the number of articles published and the impact of the research showcased. We are proud to foster a truly global community, with the majority of published articles originating from outside the United States, reflecting the rapid growth of applied research worldwide.