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

被引:1181
作者
Sullivan, Brian L. [1 ]
Wood, Christopher L. [1 ]
Iliff, Marshall J. [1 ]
Bonney, Rick E. [1 ]
Fink, Daniel [1 ]
Kelling, Steve [1 ]
机构
[1] Cornell Lab Ornithol, Ithaca, NY 14850 USA
基金
美国国家科学基金会;
关键词
eBird; Citizen-science; Observation network; Scale-dependent analysis; Bird observations;
D O I
10.1016/j.biocon.2009.05.006
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
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. (C) 2009 Elsevier Ltd. All rights reserved.
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页码:2282 / 2292
页数:11
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