量化野生动植物非法贸易多数据来源的物种偏差及其对保护的影响。

IF 5.2 1区 环境科学与生态学 Q1 BIODIVERSITY CONSERVATION
Sifan Hu, Zhijian Liang, Dan Liang, Yang Liu, Jia Zhong, Qian Wei, Tien Ming Lee
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引用次数: 0

摘要

不可持续的野生动植物消费和非法野生动植物贸易(IWT)威胁着全球的生物多样性。尽管可公开获取的数据集越来越多地被用于深入了解 IWT,但人们对其潜在的偏差知之甚少。我们比较了三个典型的、时间上相对应的数据集(4204 份法院判决书、926 份扣押新闻报道和 219 份鸟类市场调查),这些数据集涉及中国本土鸟类贸易,并评估了它们可能存在的物种偏差。具体而言,在确定非法贸易模式时,我们评估了三个数据集在物种丰富度、系统发育、保护状况、空间分布和生活史特征方面的取样偏差和完整性。法院判决中的物种丰富度最高。在鸟类市场调查和缉获新闻报道中,系统发育的聚类程度高于法院判决,其中在市场调查中发现的鸣禽物种(即雀形目)比例较高。缉获新闻数据集包含的高度优先保护物种比例最高,但物种覆盖率最低。在全国范围内,所有数据集都一致报告了南部和西南部地区相对较高的物种丰富度,但市场则显示出北部的地理偏差。法院判决和市场中的物种构成也表现出不同的地理模式。当我们模拟鸟类物种是否在市场上交易时,存在明显的生态特征偏差。我们的回归模型表明,体型小、地域范围大、偏好人为栖息地以及未受国家保护的物种更有可能被非法交易。我们发现的物种偏差强调了了解每个数据集限制因素的必要性,以便为打击国际捕鸟贸易的战略提供最佳信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Quantifying species biases among multidata sources on illegal wildlife trade and its implications for conservation

Quantifying species biases among multidata sources on illegal wildlife trade and its implications for conservation

Unsustainable wildlife consumption and illegal wildlife trade (IWT) threaten biodiversity worldwide. Although publicly accessible data sets are increasingly used to generate insights into IWT, little is known about their potential bias. We compared three typical and temporally corresponding data sets (4204 court verdicts, 926 seizure news reports, and 219 bird market surveys) on traded birds native to China and evaluated their possible species biases. Specifically, we evaluated bias and completeness of sampling for species richness, phylogeny, conservation status, spatial distribution, and life-history characteristics among the three data sets when determining patterns of illegal trade. Court verdicts contained the largest species richness. In bird market surveys and seizure news reports, phylogenetic clustering was greater than that in court verdicts, where songbird species (i.e., Passeriformes) were detected in higher proportions in market surveys. The seizure news data set contained the highest proportion of species of high conservation priority but the lowest species coverage. Across the country, all data sets consistently reported relatively high species richness in south and southwest regions, but markets revealed a northern geographic bias. The species composition in court verdicts and markets also exhibited distinct geographical patterns. There was significant ecological trait bias when we modeled whether a bird species is traded in the market. Our regression model suggested that species with small body masses, large geographical ranges, and a preference for anthropogenic habitats and those that are not nationally protected were more likely to be traded illegally. The species biases we found emphasize the need to know the constraints of each data set so that they can optimally inform strategies to combat IWT.

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来源期刊
Conservation Biology
Conservation Biology 环境科学-环境科学
CiteScore
12.70
自引率
3.20%
发文量
175
审稿时长
2 months
期刊介绍: Conservation Biology welcomes submissions that address the science and practice of conserving Earth's biological diversity. We encourage submissions that emphasize issues germane to any of Earth''s ecosystems or geographic regions and that apply diverse approaches to analyses and problem solving. Nevertheless, manuscripts with relevance to conservation that transcend the particular ecosystem, species, or situation described will be prioritized for publication.
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