Patterns of contribution to citizen science biodiversity projects increase understanding of volunteers' recording behaviour.
Patterns of contribution to citizen science biodiversity projects increase understanding of volunteers' recording behaviour.
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DOI：
10.1038/srep33051
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发表时间：
2016-09-13
影响因子：
4.6
通讯作者：
Haklay M
中科院分区：
文献类型：
--
作者：
Boakes EH;Gliozzo G;Seymour V;Harvey M;Smith C;Roy DB;Haklay M
通过公民科学进行的生物记录往往具有机会主义性质，这导致了分类学、空间和时间上的偏差，从而增加了生物多样性估计的不确定性。然而，这种偏见也可能对志愿者的记录行为提供有价值的见解。以大伦敦为例，我们研究了三个公民科学数据集的组成——来自绿色空间信息大伦敦CIC、iSpot和iRecord——关于记录者的贡献和空间和分类偏差，即志愿者记录的时间、地点和内容。我们发现大多数志愿者贡献的记录很少，而且只活跃了一天。每个数据集都有自己的分类和空间特征，这表明志愿者的个人记录偏好可能会吸引他们选择特定的方案。数据集之间也存在模式：物种的丰度和易识别性与记录数量呈正相关，植物高度也是如此。我们发现了明确的记录活动热点，10个最受欢迎的地点包含开放水域。我们注意到，偏差是作为记录过程的一部分（例如，物种的可探测性）以及志愿者的偏好而累积的。因此，通过分析记录的组成对志愿人员的行为有了更多的了解，就可以加强志愿人员的兴趣与科学项目的需要之间的配合。
The often opportunistic nature of biological recording via citizen science leads to taxonomic, spatial and temporal biases which add uncertainty to biodiversity estimates. However, such biases may also give valuable insight into volunteers’ recording behaviour. Using Greater London as a case-study we examined the composition of three citizen science datasets – from Greenspace Information for Greater London CIC, iSpot and iRecord - with respect to recorder contribution and spatial and taxonomic biases, i.e. when, where and what volunteers record. We found most volunteers contributed few records and were active for just one day. Each dataset had its own taxonomic and spatial signature suggesting that volunteers’ personal recording preferences may attract them towards particular schemes. There were also patterns across datasets: species’ abundance and ease of identification were positively associated with number of records, as was plant height. We found clear hotspots of recording activity, the 10 most popular sites containing open water. We note that biases are accrued as part of the recording process (e.g. species’ detectability) as well as from volunteer preferences. An increased understanding of volunteer behaviour gained from analysing the composition of records could thus enhance the fit between volunteers’ interests and the needs of scientific projects.
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