Outstanding challenges and future directions for biodiversity monitoring using citizen science data
Outstanding challenges and future directions for biodiversity monitoring using citizen science data
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DOI：
10.1111/2041-210x.13834
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发表时间：
2022-03-18
影响因子：
6.6
通讯作者：
Dennis, Emily B.
中科院分区：
文献类型：
--
作者：
Johnston, Alison;Matechou, Eleni;Dennis, Emily B.
在生物多样性研究和保护中，非结构化和半结构化的公民科学数据的可用性和使用越来越多。这种丰富的“大数据”来源的扩展引发了许多研究方向，推动了分析方法的发展，这些方法可以解释这些数据集中复杂的观察过程。我们回顾了生物多样性监测中公民科学数据分析的突出挑战。对于许多这些挑战，对生态推理的潜在影响是未知的。进一步的研究可以记录影响并探索解决方法。除了概述研究方向外，描述这些挑战可能有助于考虑未来公民科学项目的设计或对现有项目的补充。我们在四个部分重叠的类别中概述了使用公民科学数据进行生物多样性监测的挑战：由于(a)观察者行为而产生的挑战；(b)数据结构；(c)统计模型；(d)沟通。应对这些挑战的潜在解决办法是：(a)收集额外的数据或元数据；(b)分析组合不同的数据集；(c)开发或完善统计模型。虽然在开发应对这些挑战的方法方面取得了重要进展，但我们相信，通过在这些领域的进一步研究和开发，在生物多样性监测和随后的保护行动方面仍有实质性进展。这些挑战和机遇的程度在不同的数据集、分类群和生态问题上有很大的不同。在某些情况下，解决这些挑战的路线是明确的，而在其他情况下，探索和创造力的空间更大。
There is increasing availability and use of unstructured and semi-structured citizen science data in biodiversity research and conservation. This expansion of a rich source of 'big data' has sparked numerous research directions, driving the development of analytical approaches that account for the complex observation processes in these datasets. We review outstanding challenges in the analysis of citizen science data for biodiversity monitoring. For many of these challenges, the potential impact on ecological inference is unknown. Further research can document the impact and explore ways to address it. In addition to outlining research directions, describing these challenges may be useful in considering the design of future citizen science projects or additions to existing projects. We outline challenges for biodiversity monitoring using citizen science data in four partially overlapping categories: challenges that arise as a result of (a) observer behaviour; (b) data structures; (c) statistical models; and (d) communication. Potential solutions for these challenges are combinations of: (a) collecting additional data or metadata; (b) analytically combining different datasets; and (c) developing or refining statistical models. While there has been important progress to develop methods that tackle most of these challenges, there remain substantial gains in biodiversity monitoring and subsequent conservation actions that we believe will be possible by further research and development in these areas. The degree of challenge and opportunity that each of these presents varies substantially across different datasets, taxa and ecological questions. In some cases, a route forward to address these challenges is clear, while in other cases there is more scope for exploration and creativity.