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Assessing the reliability of avian biodiversity measures of urban greenspaces using eBird citizen science data

机译：使用eBird公民科学数据评估城市绿地禽类生物多样性措施的可靠性

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摘要

Urban greenspaces are important areas for biodiversity, serving multiple uses, sometimes including conservation and biodiversity management. Citizen science provides a cheap and potentially effective method of assisting biodiversity management in urban greenspaces. Despite this potential, the minimum amount of citizen science data required to adequately represent a community is largely untested. We used eBird data to test the minimum sampling effort required to be confident in results for three biological metrics, species richness, Shannon diversity, and community composition (Bray-Curtis similarity). For our data, from 30 urban greenspaces in North America, for a 90% threshold level, a minimum mean number of 210, 33, and 58 checklists were necessary for species richness, Shannon diversity, and community composition, respectively. However, when we eliminated those species that were present in fewer than 5% of checklists at a given site, there was a marked decrease in mean minimum number of checklists required (17, 9, and 52, respectively). Depending on the ecological questions of interest, eBird data may be a potentially reliable data source in urban greenspaces. We provide a validation methodology using eBird data, with its associated code in the R statistical environment, to provide confidence for land managers and community groups managing urban greenspaces.
机译：城市绿地是生物多样性的重要领域，具有多种用途，有时包括保护和生物多样性管理。公民科学提供了一种廉价且潜在有效的方法来协助城市绿地中的生物多样性管理。尽管有这种潜力，但要充分代表一个社区所需的最低限度的公民科学数据在很大程度上未经测试。我们使用eBird数据测试了对三个生物学指标，物种丰富度，香农多样性和群落组成（布雷-科蒂斯相似性）的结果充满信心所需的最小抽样工作。对于我们的数据，在北美30个城市绿地中，对于90％的阈值水平，分别具有210、33和58个清单的最低平均数量对于物种丰富度，香农多样性和社区组成是必需的。但是，当我们消除了在给定站点上少于清单5％的物种时，所需的清单最小平均数量显着减少（分别为17、9和52）。根据感兴趣的生态问题，eBird数据可能是城市绿地中潜在的可靠数据源。我们提供了一种使用eBird数据以及R统计环境中的关联代码的验证方法，以为土地管理者和管理城市绿地的社区团体提供信心。

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