Biological Conservation · 2022 · 16 citations · 47 references
Life SciencesEcologyZoologyOrnithologyWildlife BiologyWildlife ManagementInvasive Species MonitoringWildlife ConservationWildlife EcologyWildlife Survey MethodsCitizen Science MonitoringData UseWildlife MonitoringWildlife SurveillanceWildlife Surveys
The global COVID-19 pandemic has imposed restrictions on people's movement, work and access to places at multiple international, national and sub-national scales. We need a better understanding of how the varied restrictions have impacted wildlife monitoring as gaps in data continuity caused by these disruptions may limit future data use and analysis. To assess the effect of different levels of COVID-19 restrictions on both citizen science and traditional wildlife monitoring, we analyse observational records of a widespread and iconic monotreme, the Australian short-beaked echidna (Tachyglossus aculeatus), in three states of Australia. We compare citizen science to observations from biodiversity data repositories across the three states by analysing numbers of observations, coverage in protected areas, and geographic distribution using an index of remoteness and accessibility. We analyse the effect of restriction levels by comparing these data from each restriction level in 2020 with corresponding periods in 2018–2019. Our results indicate that stricter and longer restrictions reduced numbers of scientific observations while citizen science showed few effects, though there is much variation due to differences in restriction levels in each state. Geographic distribution and coverage of protected and non-protected areas were also reduced for scientific monitoring while citizen science observations were little affected. This study shows that citizen science can continue to record accurate and widely distributed species observational data, despite pandemic restrictions, and thus demonstrates the potential value of citizen science to other researchers who require reliable data during periods of disruption.
47
Hadley Wickham, Mara Averick, Jennifer Bryan et al. · The Journal of Open Source Software · 2019 · 21.6K citations · Full text
The FAIR Guiding Principles for scientific data management and stewardship
Mark D. Wilkinson, Michel Dumontier, IJsbrand Jan Aalbersberg et al. · Scientific Data · 2016 · 17.8K citations · Full text
Statistical Power Analysis for the Behavioral Sciences
Keith E. Muller · Technometrics · 1989 · 16.5K citations
Citizen Science: A Developing Tool for Expanding Science Knowledge and Scientific Literacy
Rick Bonney, Caren B. Cooper, Janis L. Dickinson et al. · BioScience · 2009 · 2.5K citations