![]() We explore these trade-offs by applying a simplified approach of filtering citizen science data to resemble structured survey data and analyse both sources of data under a common framework. ![]() However, there are perceived trade-offs of combining highly structured, scientific survey data with largely un-structured, citizen science data. Citizen science has been signalled as an increasingly important source to fill in data gaps where information is needed to make comprehensive and robust inferences on species distributions. However, collecting information at relevant scales is often cost prohibitive, although it is essential for framing the broader context of more focused research and conservation efforts. Information on species’ habitat associations and distributions, across a wide range of spatial and temporal scales, is a fundamental source of ecological knowledge.
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