俄克拉荷马州东部 iNaturalist 和专家调查的蝴蝶多样性结果比较

Diversity Pub Date : 2024-08-27 DOI:10.3390/d16090515
Alexander J. Harman, Madeline M. Eori, W. Wyatt Hoback
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摘要

全球范围内生物多样性的持续减少以及与气候变化相关的分布范围的变化,使得记录物种当前分布情况以建立基准数据变得更加重要。然而,由于资金和后勤方面的限制,分类学专家无法在大多数地方进行彻底调查。弥补专家采样不足的一个常用方法是利用公众收集、整理并提供给研究的社区科学数据。然而,这些数据集包含的偏差与通过传统调查方法收集的数据通常存在的偏差不同,往往会导致不同的结果。最近的研究使用了大面积生成的海量数据集,但对于较小范围或较有限的采样间隔所获得的结果却知之甚少。我们使用从流行的社区科学网站 iNaturalist 上获得的数据集和分类学专家在沼泽栖息地进行有针对性调查时收集的数据集,对俄克拉荷马州东部的蝴蝶观测结果进行了比较。在县级范围内,丛林调查与 iNaturalist 观察之间的蝴蝶物种相对丰度相关性很好,两种调查方法之间不同蝶科的相对丰度没有差异。然而,正如预期的那样,传统调查在测量较小地理范围内的生物多样性方面优于群落科学数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Comparison of Butterfly Diversity Results between iNaturalist and Expert Surveys in Eastern Oklahoma
Ongoing worldwide biodiversity declines and range shifts associated with climate change increase the importance of documenting the current distributions of species to establish baseline data. However, financial and logistical constraints make it impossible for taxonomic experts to conduct thorough surveys in most locations. One popular approach to offset the lack of expert sampling is using community science data collected by the public, curated, and made available for research. These datasets, however, contain different biases than those typically present in data collected through conventional survey practices, often leading to different results. Recent studies have used massive datasets generated over large areas; however, less is known about the results obtained at smaller scales or with more limited sampling intervals. We compared butterfly observations in eastern Oklahoma using a dataset obtained from the popular community science website iNaturalist and one collected during targeted surveys of glade habitats conducted by taxonomic experts. At the county-level scale, the relative abundances of butterfly species correlated well between the glade surveys and the iNaturalist observations, and there was no difference in the relative abundance of different butterfly families between the two survey methods. However, as anticipated, the conventional surveys outperformed the community science data in measuring biodiversity at a smaller geographic scale.
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