Literature DB >> 29738934

Linking community-based monitoring to water policy: Perceptions of citizen scientists.

Tyler Carlson1, Alice Cohen2.   

Abstract

This paper examines the relationships between Community-Based Water Monitoring (CBM) and government-led water initiatives. Drawing on a cross-Canada survey of over one hundred organizations, we explore the reasons why communities undertake CBM, the monitoring protocols they follow, and the extent to which CBM program members feel their findings are incorporated into formal (i.e., government-led) decision-making processes. Our results indicate that despite following standardized and credible monitoring protocols, fewer than half of CBM organizations report that their data is being used to inform water policy at any level of government. Moreover, respondents report higher rates of cooperation and data-sharing between CBM organizations themselves than between CBM organizations and their respective governments. These findings are significant, because many governments continue to express support for CBM. We explore the barriers between CBM data collection and government policy, and suggest that structural barriers include lack of multi-year funding, inconsistent protocols, and poor communication. More broadly, we argue that the distinction between formal and informal programming is unclear, and that addressing known CBM challenges will rely on a change in perception: CBM cannot simply be a less expensive alternative to government-driven data collection.
Copyright © 2018 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Canada; Citizen science; Community-based monitoring; Participatory monitoring; Water governance; Water quality

Mesh:

Substances:

Year:  2018        PMID: 29738934     DOI: 10.1016/j.jenvman.2018.04.077

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


  2 in total

Review 1.  Applying citizen science to monitor for the Sustainable Development Goal Indicator 6.3.2: a review.

Authors:  Lauren Quinlivan; Deborah V Chapman; Timothy Sullivan
Journal:  Environ Monit Assess       Date:  2020-03-06       Impact factor: 2.513

2.  Using citizen science data to monitor the Sustainable Development Goals: a bottom-up analysis.

Authors:  Laura Ballerini; Sylvia I Bergh
Journal:  Sustain Sci       Date:  2021-07-23       Impact factor: 6.367

  2 in total

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