2019
DOI: 10.1371/journal.pone.0210007
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Citizen science in data and resource-limited areas: A tool to detect long-term ecosystem changes

Abstract: Coral reefs are threatened by numerous global and local stressors. In the face of predicted large-scale coral degradation over the coming decades, the importance of long-term monitoring of stress-induced ecosystem changes has been widely recognised. In areas where sustained funding is unavailable, citizen science monitoring has the potential to be a powerful alternative to conventional monitoring programmes. In this study we used data collected by volunteers in Southeast Sulawesi (Indonesia), to demonstrate th… Show more

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Cited by 45 publications
(32 citation statements)
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“…In other cases, citizen science data has been shown to demonstrate bias or inaccuracies (Courter et al 2013;Forrester et al 2015;van der Velde et al 2017), but this can be minimized in data summaries by examining broader-scale trends (e.g. family level rather than species level) (Fore et al 2001;Gouraguine et al 2019) or excluding data from participants that differed substantially to data collected by scientists (Culver et al 2010). Irrespectively, perceptions on data quality remain a key factor influencing the publication of citizen science data (Schläppy et al 2017).…”
Section: Data Qualitymentioning
confidence: 99%
“…In other cases, citizen science data has been shown to demonstrate bias or inaccuracies (Courter et al 2013;Forrester et al 2015;van der Velde et al 2017), but this can be minimized in data summaries by examining broader-scale trends (e.g. family level rather than species level) (Fore et al 2001;Gouraguine et al 2019) or excluding data from participants that differed substantially to data collected by scientists (Culver et al 2010). Irrespectively, perceptions on data quality remain a key factor influencing the publication of citizen science data (Schläppy et al 2017).…”
Section: Data Qualitymentioning
confidence: 99%
“…In contrast to alternative approaches such as the use of tracking data [ 12 , 13 , 29 ] or vessel surveys [ 14 , 27 ], these massive datasets provide with low-cost information on long-term temporal and large spatial extents. This allows to identify spatio-temporal patterns from many different individuals belonging to several populations (e.g., [ 23 ]), as well as to quantify their seasonal and interannual variation in the long-term. Contrastingly, citizen science data have one main drawnback which is low data quality, due to low accuracy and precision, insufficient sample sizes as well as insufficient temporal and spatial representation [ 22 ].…”
Section: Discussionmentioning
confidence: 99%
“…However, it seems clear that, without proper standardized survey protocols and volunteer training, volunteer data may be highly variable in terms of precision (e.g., errors in species identification or biases in count estimates, uneven sampling effort, both in terms of temporal and spatial coverage, among others). In contrast to these caveats, as compared with the detailed data gathered from electronic devices, the massive datasets from citizen science projects have the advantage of offering low-cost information on long-term temporal and large spatial extents from many different individuals belonging to several populations (e.g., [ 23 ]). Prominent electronic citizen science data bases in terms of number of users include eBird [ 24 ] and Trektellen [ 25 ].…”
Section: Introductionmentioning
confidence: 99%
“…In other contexts, the concept of citizen science has been used as a way to democratize scientific knowledge [46]. Moreover, it represents important actions that can be undertaken, especially when financing turns out to be limited, irregular or inexistent; therefore, it becomes a reliable and feasible alternative for monitoring species [47].…”
Section: Discussionmentioning
confidence: 99%