Literature DB >> 31635016

Citizen science in hydrological monitoring and ecosystem services management: State of the art and future prospects.

N Njue1, J Stenfert Kroese2, J Gräf3, S R Jacobs4, B Weeser4, L Breuer4, M C Rufino5.   

Abstract

Hydrological monitoring is essential to guide evidence-based decision making necessary for sustainable water resource management and governance. Limited hydrometric datasets and the pressure on long-term hydrological monitoring networks make it paramount to explore alternative methods for data collection. This is particularly the case for low-income countries, where data scarcity is more pronounced, and where conventional monitoring methods are expensive and logistically challenging. Citizen science in hydrological research has recently gained popularity and crowdsourced monitoring is a promising cost-effective approach for data collection. Citizen science also has the potential to enhance knowledge co-creation and science-based evidence that underpins the governance and management of water resources. This paper provides a comprehensive review on citizen science and crowdsourced data collection within the context of hydrology, based on a synthesis of 71 articles from 2001 to 2018. Application of citizen science in hydrology is increasing in number and breadth, generating a plethora of scientific data. Citizen science approaches differ in scale, scope and degree of citizen involvement. Most of the programs are found in North America and Europe. Participation mostly comprises a contributory citizen science model, which engages citizens in data collection. In order to leverage the full potential of citizen science in knowledge co-generation, future citizen science projects in hydrology could benefit from more co-created types of projects that establish strong ties between research and public engagement, thereby enhancing the long-term sustainability of monitoring networks.
Copyright © 2019 The Authors. Published by Elsevier B.V. All rights reserved.

Keywords:  Citizen engagement; Data; Hydrology; Participation; Water quality

Year:  2019        PMID: 31635016     DOI: 10.1016/j.scitotenv.2019.07.337

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  5 in total

1.  Community Science for Coastal Acidification Monitoring and Research.

Authors:  Parker Randall Gassett; Katie O'Brien-Clayton; Carolina Bastidas; Jennie E Rheuban; Christopher W Hunt; Elizabeth Turner; Matthew Liebman; Emily Silva; Adam R Pimenta; Jason Grear; Jackie Motyka; Daniel McCorkle; Esperanza Stancioff; Damian C Brady; Aaron L Strong
Journal:  Coast Manage       Date:  2021-07-26       Impact factor: 3.925

2.  Preparing Aquatic Research for an Extreme Future: Call for Improved Definitions and Responsive, Multidisciplinary Approaches.

Authors:  Lillian R Aoki; Margaret Mars Brisbin; Alexandria G Hounshell; Dustin W Kincaid; Erin I Larson; Brandon J Sansom; Arial J Shogren; Rachel S Smith; Jenna Sullivan-Stack
Journal:  Bioscience       Date:  2022-05-04       Impact factor: 11.566

3.  Sensing and making sense of tourism flows and urban data to foster sustainability awareness: a real-world experience.

Authors:  Catia Prandi; Valentina Nisi; Miguel Ribeiro; Nuno Nunes
Journal:  J Big Data       Date:  2021-03-24

Review 4.  Enhancing the Uptake of Earth Observation Products and Services in Africa Through a Multi-level Transdisciplinary Approach.

Authors:  Chinwe Ifejika Speranza; Felicia Olufunmilayo Akinyemi; David Baratoux; Jérôme Benveniste; Natalie Ceperley; Fatima Driouech; Jörg Helmschrot
Journal:  Surv Geophys       Date:  2022-08-23       Impact factor: 7.965

5.  A mobile application to protect groundwater during unconventional oil and gas extraction.

Authors:  Charissa Worthmann; Surina Esterhuyse
Journal:  R Soc Open Sci       Date:  2022-09-14       Impact factor: 3.653

  5 in total

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