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Facebook groups as citizen science tools for plant species monitoring

机译:Facebook群组作为植物的公民科学工具物种监测

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摘要

1. Social networks offer communication channels through which people share huge amounts of primary data that can be used for scientific analyses, including biodiversity research. To understand to what extent data extracted from social networks could complement data collected for scientific purposes, it is necessary to quantify the bias of such data. 2. We analysed which plant traits increased the probability of a wild-growing plant species to be photographed and posted to a social network based on the data from an unstructured citizen science tool; a Facebook group focused on the vascular flora of Sicily (Italy). Then, we compared botanical data collected by this Facebook group members with data collected by scientists in 6,366 vegetation plots sampled across Sicily, stored in the EVA database. 3. Our results suggested that data proceeding from the analysed Facebook group were affected by various sampling biases, which differed from the biases inherent to other types of biodiversity data such as those from vegetation plots. 4. Facebook users recorded a higher proportion of red-listed and alien species than vegetation scientists. Therefore, social networks can provide a valuable complement to the data collected by scientists for research purposes. 5. Synthesis and applications. Despite Facebook does not support geotagging and interface for data access and analysis, it is an invaluable source of biodiversity data that could complement those collected by professional researchers. The main advantage of data from social networks is their high dynamism, as they report large amounts of species occurrences in almost real time. Therefore, citizen science data from a Facebook group where the records are curated by expert volunteers can be used (a) for monitoring population dynamics of threatened and alien species; (b) as a source of additional data on rare species occurrences, particularly for plants that are attractive for amateur botanists, such as orchids; (c) for early wa
机译:1. 通过它人们分享大量的主要数据可用于科学分析,包括生物多样性研究。理解到什么程度数据提取社交网络可以补充收集的数据科学的目的,这是必要的量化这些数据的偏差。植物特征的概率增加了野生植物物种和拍照基于数据发布到社交网络非结构化公民科学工具;集团专注于西西里岛的维管植物(意大利)。收集的Facebook群组成员收集的数据科学家6366年植被块采样在西西里,存储在伊娃数据库。从分析Facebook群组受到各种抽样偏差的影响,不同于其他类型的固有偏见生物多样性数据等植被的阴谋。更高比例的red-listed和外来物种比植物科学家。网络可以提供一个有价值的补充收集的数据科学家进行研究目的。Facebook不支持地理标记接口数据访问和分析,这是一个宝贵的生物多样性数据来源补充收集的这些专业研究人员。社交网络是他们的高活力,因为它们大量的物种出现在报告几乎实时。记录从Facebook群组可以使用由专家志愿者策划(a)种群动态监测和威胁外来物种;稀有物种出现,特别是植物对业余植物学家的吸引力,如兰花;

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