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Environmental Management

, Volume 58, Issue 4, pp 606–618 | Cite as

Recruitment and Retention of Volunteers in a Citizen Science Network to Detect Invasive Species on Private Lands

  • David A. AndowEmail author
  • Eugene Borgida
  • Terrance M. Hurley
  • Allison L. Williams
Article

Abstract

Volunteer citizen monitoring is an increasingly important source of scientific data. We developed a volunteer program for early detection of new invasive species by private landowners on their own land. Early detection of an invasive species, however, subjects the landowner to the potentially costly risk of government intervention to control the invasive species. We hypothesized that an adult experiential learning module could increase recruitment and retention because private landowners could learn more about and understand the social benefits of early detection and more accurately gauge the level of personal risk. The experiential learning module emphasized group discussion and individual reflection of risks and benefits of volunteering and included interactions with experts and regulatory personnel. A population of woodland owners with >2 ha of managed oak woodland in central Minnesota were randomly assigned to recruitment treatments: (a) the experiential learning module or (b) a letter inviting their participation. The recruitment and retention rates and data quality were similar for the two methods. However, volunteers who experienced the learning module were more likely to recruit new volunteers than those who merely received an invitation letter. Thus the module may indirectly affect recruitment of new volunteers. The data collection was complex and required the volunteers to complete timely activities, yet the volunteers provided sufficiently high quality data that was useful to the organizers. Volunteers can collect complex data and are willing to assume personal risk to contribute to early detection of invasive species.

Keywords

Citizen science Volunteer citizen monitoring Invasive species Early detection 

Notes

Acknowledgments

The authors thank Elise Rosengren, Lesley Tylczak, Ethan Barquest, Winston Oakley, Megan Trumper, Jamie White, Ham I. Lee, Rouchen Lu, Samantha Peterson, and Mary Van Liew for their assistance in supporting the volunteer network, and two anonymous reviewers for their detailed and insightful comments, which greatly improved this publication. This publication is based upon work supported by the National Science Foundation, Decision Risk and Management Science program, under Grant Number SES-1060821. Any opinions, findings, and conclusions or recommendations expressed in this publication are those of the authors and do not necessarily reflect the views of the National Science Foundation.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

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Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  1. 1.Department of EntomologyUniversity of MinnesotaSt PaulUSA
  2. 2.Department of PsychologyUniversity of MinnesotaMinneapolisUSA
  3. 3.Department of Applied EconomicsUniversity of MinnesotaSt PaulUSA

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