Highly specialized recreationists contribute the most to the citizen science project eBird

Author:

Rosenblatt Connor J1ORCID,Dayer Ashley A2,Duberstein Jennifer N3,Phillips Tina B4,Harshaw Howard W5ORCID,Fulton David C6,Cole Nicholas W7,Raedeke Andrew H8,Rutter Jonathan D2,Wood Christopher L4

Affiliation:

1. Department of Environmental Science and Policy, University of California, Davis, Davis, California, USA

2. Department of Fish and Wildlife Conservation, Virginia Tech, Blacksburg, Virginia, USA

3. Sonoran Joint Venture, Tucson, Arizona, USA

4. Cornell Lab of Ornithology, Ithaca, New York, USA

5. Faculty of Kinesiology, Sport, and Recreation, University of Alberta, Edmonton, Alberta, Canada

6. U.S. Geological Survey, Minnesota Cooperative Fish and Wildlife Research Unit, University of Minnesota, Minneapolis, Minnesota, USA

7. U.S. Geological Survey, Fort Collins, Colorado, USA

8. Missouri Department of Conservation, Columbia, Missouri, USA

Abstract

Abstract Contributory citizen science projects (hereafter “contributory projects”) are a powerful tool for avian conservation science. Large-scale projects such as eBird have produced data that have advanced science and contributed to many conservation applications. These projects also provide a means to engage the public in scientific data collection. A common challenge across contributory projects like eBird is to maintain participation, as some volunteers contribute just a few times before disengaging. To maximize contributions and manage an effective program that has broad appeal, it is useful to better understand factors that influence contribution rates. For projects capitalizing on recreation activities (e.g., birding), differences in contribution levels might be explained by the recreation specialization framework, which describes how recreationists vary in skill, behavior, and motives. We paired data from a survey of birders across the United States and Canada with data on their eBird contributions (n = 28,926) to test whether those who contributed most are more specialized birders. We assigned participants to 4 contribution groups based on eBird checklist submissions and compared groups’ specialization levels and motivations. More active contribution groups had higher specialization, yet some specialized birders were not active participants. The most distinguishing feature among groups was the behavioral dimension of specialization, with active eBird participants owning specialized equipment and taking frequent trips away from home to bird. Active participants had the strongest achievement motivations for birding (e.g., keeping a life list), whereas all groups had strong appreciation motivations (e.g., enjoying the sights and sounds of birding). Using recreation specialization to characterize eBird participants can help explain why some do not regularly contribute data. Project managers may be able to promote participation, particularly by those who are specialized but not contributing, by appealing to a broader suite of motivations that includes both appreciation and achievement motivations, and thereby increase data for conservation.

Funder

Wildlife Habitat Canada

Environment and Climate Change Canada

Ducks Unlimited Canada

Government of Ontario

University of Alberta

Social Sciences and Humanities Research Council of Canada

Publisher

Oxford University Press (OUP)

Subject

Animal Science and Zoology,Ecology, Evolution, Behavior and Systematics

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