Volunteer macroinvertebrate monitoring: Tensions among group goals, data quality, and outcomes

Julia Frost Nerbonne, Kristen C. Nelson

Research output: Contribution to journalArticlepeer-review

29 Scopus citations


Volunteer monitoring of natural resources is promoted for its ability to increase public awareness, to provide valuable knowledge, and to encourage policy change that promotes ecosystem health. We used the case of volunteer macroinvertebrate monitoring (VMM) in streams to investigate whether the quality of data collected is correlated with data use and organizers' perception of whether they have achieved these outcomes. We examined the relation between site and group characteristics, data quality, data use, and perceived outcomes (education, social capital, and policy change). We found that group size and the degree to which citizen groups perform tasks on their own (rather than aided by professionals) positively correlated with the quality of data collected. Group size and number of years monitoring positively influenced whether a group used their data. While one might expect that groups committed to collecting good-quality data would be more likely to use it, there was no relation between data quality and data use, and no relation between data quality and perceived outcomes. More data use was, however, correlated with a group's feeling of connection to a network of engaged citizens and professionals. While VMM may hold promise for bringing citizens and scientists together to work on joint conservation agendas, our data illustrate that data quality does not correlate with a volunteer group's desire to use their data to promote regulatory change. Therefore, we encourage scientists and citizens alike to recognize this potential disconnect and strive to be explicit about the role of data in conservation efforts.

Original languageEnglish (US)
Pages (from-to)470-479
Number of pages10
JournalEnvironmental management
Issue number3
StatePublished - Sep 2008


  • Citizen science
  • Collaborative conservation
  • Data quality
  • Macroinvertebrate monitoring
  • Resource mobilization theory
  • Volunteer monitoring


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