Citizen science projects in freshwater monitoring. From individual design to clusters?

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

Beitragende

  • Sabrina Kirschke - , United Nations University - Institute for Integrated Management of Material Fluxes and of Resources (UNU-FLORES) (Autor:in)
  • Christy Bennett - , Professur für Umweltentwicklung und Risikomanagement (gB/IÖR) (Autor:in)
  • Armin Bigham Ghazani - , Professur für Meteorologie (Autor:in)
  • Christian Franke - , Humboldt-Universität zu Berlin (Autor:in)
  • Dieter Kirschke - , Humboldt-Universität zu Berlin (Autor:in)
  • Yeongju Lee - , United Nations University - Institute for Integrated Management of Material Fluxes and of Resources (UNU-FLORES) (Autor:in)
  • Seyed Taha Loghmani Khouzani - , United Nations University - Institute for Integrated Management of Material Fluxes and of Resources (UNU-FLORES) (Autor:in)
  • Shuvojit Nath - , United Nations University - Institute for Integrated Management of Material Fluxes and of Resources (UNU-FLORES) (Autor:in)

Abstract

Citizen science projects spring up in freshwater monitoring, with an increasing number of projects in river, lake, and groundwater monitoring around the globe. Citizen science scholars assume that these projects have different designs, including diverse characteristics of citizens, institutions, and forms of interactions, potentially affecting the outcomes of these projects. Given the strong focus on case studies or reviews in the field, there is, however, little comparative evidence of the different types of citizen science projects in freshwater monitoring. Based on a global survey, this study provides a systematic comparative analysis of the design of 85 citizen science projects in the field of freshwater monitoring. Descriptive statistics reveal how projects differ along 45 literature-based design variables raised in the survey. Factor analysis based on 31 of these variables yields ten key design factors, and cluster analysis, based on these design factors, allows to identify seven distinguished clusters of citizen science projects. While these clusters are rather heterogeneous, they reveal differences between groups of projects regarding institutional motivation, citizen characteristics, and interaction forms. These results significantly add to a systematic comparison of citizen science projects in freshwater monitoring and enable a more effective involvement of citizens in environmental management.

Details

OriginalspracheEnglisch
Aufsatznummer114714
FachzeitschriftJournal of environmental management
Jahrgang309
PublikationsstatusVeröffentlicht - 1 Mai 2022
Peer-Review-StatusJa

Externe IDs

PubMed 35189514

Schlagworte

Schlagwörter

  • Citizen science, Community-based monitoring, Global survey, Multivariate analysis, Voluntary monitoring, Water, Water monitoring, Water quality