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eBird: A citizen-based bird observation network in the biological sciences

机译:eBird:生物科学中基于公民的鸟类观察网络

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New technologies are rapidly changing the way we collect, archive, analyze, and share scientific data. For example, over the next several years it is estimated that more than one billion autonomous sensors will be deployed over large spatial and temporal scales, and will gather vast quantities of data. Networks of human observers play a major role in gathering scientific data, and whether in astronomy, meteorology, or observations of nature, they continue to contribute significantly. In this paper we present an innovative use of the Internet and information technologies that better enhances the opportunity for citizens to contribute their observations to science and the conservation of bird populations. eBird is building a web-enabled community of bird watchers who collect, manage, and store their observations in a globally accessible unified database. Through its development as a tool that addresses the needs of the birding community, eBird sustains and grows participation. Birders, scientists, and conservationists are using eBird data worldwide to better understand avian biological patterns and the environmental and anthropogenic factors that influence them. Developing and shaping this network over time, eBird has created a near real-time avian data resource producing millions of observations per year.
机译:新技术正在迅速改变我们收集,存档,分析和共享科学数据的方式。例如,在接下来的几年中,估计将有超过十亿个自主传感器部署在较大的时空尺度上,并将收集大量数据。人类观察者网络在收集科学数据方面发挥着重要作用,无论是在天文学,气象学还是自然观测中,它们都将继续发挥重要作用。在本文中,我们介绍了互联网和信息技术的创新用法,它可以更好地增加公民为科学和鸟类保护所做的贡献。 eBird正在建立一个由网络支持的鸟类观察者社区,这些鸟类收集,管理并在全球可访问的统一数据库中存储其观察结果。通过将eBird开发为可满足观鸟社区需求的工具,它可以维持并增加参与度。鸟类,科学家和保护主义者正在全球范围内使用eBird数据来更好地了解禽类的生物学模式以及影响它们的环境和人为因素。随着时间的推移,随着该网络的发展和形成,eBird创建了近实时的禽类数据资源,每年可产生数百万次观测。

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