Enhancing plant biosecurity with citizen science monitoring: comparing methodologies using reports of acute oak decline
Enhancing plant biosecurity with citizen science monitoring: comparing methodologies using reports of acute oak decline
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DOI：
10.1007/s10109-018-0285-2
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发表时间：
2019-03-01
影响因子：
2.9
通讯作者：
Brown, N.
中科院分区：
文献类型：
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作者：
Baker, E.;Jeger, M. J.;Brown, N.
监测森林病虫害是一项资源密集型工作，需要对个别林地和树木进行走访和症状评估。气候变化和全球连通性的增加正在放大监测挑战的规模，新的植物生物安全威胁的数量每年都在增加。公民科学可以增加虫害和疾病调查的规模。然而，有人认为，公民科学数据可能是有偏见和不准确的。这项研究通过对急性橡树衰退(AOD)的案例研究来检验公民科学数据中的潜在偏见。AOD是一种与甲虫相关的影响英国本土橡树的疾病综合征。分析使用了两个截然不同的公民科学数据集来源：国家生物多样性网络地图集，公民科学数据集的储存库，以及树木警报，这是一个有针对性的公民科学项目，鼓励土地所有者和公众报告AOD的发生。对于这两个数据集，更有可能在鞘翅目报告较高的地点进行检测，这表明存在记录器活动的中心。在NBN的数据集中，更有可能在历史公园和花园存在的地区发现A.biguttatus。对于树木警报数据集，在开放获取的土地上不太可能发现A.biguttatus，这表明该方案在吸引私人土地所有者方面取得了成功。这些结果表明，了解报告方案中的偏差来源是数据分析中的一个重要步骤，纳入结构化调查设计将使偏差的程度能够被记录下来。
Monitoring of forest pests and diseases is resource-intensive, requiring individual woodlands and trees to be visited and assessed for symptoms. Climate change and increased global connectivity are amplifying the scale of the monitoring challenge, with the number of new plant biosecurity threats increasing each year. Citizen science can increase the scale of pest and disease surveys. However, it is argued that citizen science data can be biased and inaccurate. This study examines potential biases in citizen science data by focusing on the case study of acute oak decline (AOD), a disease syndrome impacting native oaks within the UK associated with the beetle Agrilus biguttatus. Analysis was performed using two contrasting citizen science data set sources: the National Biodiversity Network (NBN) Atlas, which is a repository for citizen science data sets, and Tree Alert, a targeted citizen science project that encouraged landowners and the public to report the occurrence of AOD. For both data sets, detection was more likely in locations with higher Coleoptera reports, suggesting that there are hubs of recorder activity. For the NBN data set, A. biguttatus was more likely to be found in areas where historic parks and gardens were present. For the Tree Alert data set, A. biguttatus was less likely to be found on open access land, indicating that the programme was successful in engaging private landowners. These results indicate that understanding sources of bias within reporting schemes is an important step in data analysis and that the inclusion of structured survey designs would enable the extent of biases to be documented.