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A hybrid is born: Integrating collective sensing, citizen science and professional monitoring of the environment.

Authors :
Becken, Susanne
Connolly, Rod M.
Chen, Jinyan
Stantic, Bela
Source :
Ecological Informatics; Jul2019, Vol. 52, p35-45, 11p
Publication Year :
2019

Abstract

Including members of the public in the development of effective environmental monitoring systems is gaining traction. This research assesses the potential for a hybrid monitoring system for the case of coral at the Great Barrier Reef. Based on a review of citizen-derived data sources, the paper first develops a framework and then populates it with five datasets. These are then compared based on data volumes, type of data, spatial coverage, and bleaching patterns. The results reveal the inherent difficulties – both in terms of quantity and quality – for collective sensing data (Twitter in this case) and more structured human sensors approaches (Eye on the Reef Sightings). However, more targeted approaches, such as CoralWatch and tourism-operator based data collection, emerged as important contributors to information generation on the state of coral. Citizen-based data that either deliver a high data density per location, a wide geographic coverage, or regular observations over time are particularly valuable. Recommendations are made for developing a hybrid monitoring system that integrates citizen-derived with professionally collected data. • Framework for differentiating various approaches to citizen-derived data • Comparison of five data sources for coral at the Great Barrier Reef • Collective sensing data are insufficient in quantity and quality. • Structured citizen science programs can add considerable value. • A hybrid monitoring system could greatly assist the marine park authority. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15749541
Volume :
52
Database :
Supplemental Index
Journal :
Ecological Informatics
Publication Type :
Academic Journal
Accession number :
136933715
Full Text :
https://doi.org/10.1016/j.ecoinf.2019.05.001