Information on species’ habitat associations and distributions, across a wide range of spatial and temporal scales, is a fundamental source of ecological knowledge. 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. 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, there are perceived trade‐offs of combining highly structured, scientific survey data with largely un‐structured, citizen science data.

中文翻译：

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将公民科学数据与专家调查相结合可提高物种分布模型的准确性和空间范围

在广泛的时空范围内，有关物种栖息地关联和分布的信息是生态知识的基本来源。但是，尽管收集有关规模的信息对于建立更集中的研究和保护工作的更广泛的背景至关重要，但通常花费不菲。公民科学已被认为是填补数据空白的越来越重要的来源，在数据空白中需要信息来对物种分布进行全面而可靠的推断。但是，在将高度结构化的科学调查数据与很大程度上非结构化的公民科学数据相结合时，存在权衡取舍的问题。