Department of Biology, Amherst College, Amherst, MA, United States of America.
PLoS One. 2024 May 31;19(5):e0303429. doi: 10.1371/journal.pone.0303429. eCollection 2024.
The recent rising incidence of extreme natural events may significantly influence the implementation of citizen science projects, including the success of outreach strategies and the quality and scope of data collection. The MassMammals Watch and subsidiary MassBears citizen science projects, initiated during the height of the pandemic, recruit volunteers to submit sightings of black bears and other mammals. In this study, we evaluated the methods we employed for engaging and retaining community volunteers during a period of intense social restrictions, and we assessed whether such conditions were associated with spatial biases in our collected data. Newspaper features were more likely to recruit volunteers who engaged with the project multiple times, but social media and internet presence were important for reaching a larger audience. Bear sighting submissions peaked in number and were more likely to be in forested areas during 2020, the height of the pandemic, compared to later years, a pattern which we suggest stems from an increased desire to participate in outdoor activities in light of social distancing measures during that year. Such shifts in patterns of data collection are likely to continue, particularly in response to increasing extreme weather events associated with climate change. Here, we both make recommendations on optimal outreach strategies for others initiating citizen science programs and illustrate the importance of assessing potential biases in data collection imposed by extreme circumstances.
近期极端自然事件发生率的上升可能会对公民科学项目的实施产生重大影响,包括外展策略的成功以及数据收集的质量和范围。在疫情高峰期发起的 MassMammals Watch 和附属的 MassBears 公民科学项目招募志愿者提交黑熊和其他哺乳动物的目击记录。在这项研究中,我们评估了在严格的社会限制期间吸引和留住社区志愿者的方法,并评估了这些条件是否与我们收集的数据中的空间偏差有关。报纸专题更有可能招募多次参与项目的志愿者,但社交媒体和互联网的存在对于吸引更多的受众很重要。与后来的年份相比,2020 年疫情高峰期的目击记录数量达到峰值,并且更有可能发生在森林地区,我们认为这种模式源于当年社交距离措施下人们对户外活动的参与意愿增加。这种数据收集模式的变化可能会持续下去,特别是在应对与气候变化相关的极端天气事件方面。在这里,我们不仅为其他启动公民科学项目的人提供了最佳外展策略建议,还说明了评估极端情况下数据收集潜在偏差的重要性。