| 来源类型 | Book Section |
| Involving Citizen Scientists in Biodiversity Observation. | |
| Chandler M; See L; Buesching CD; Cousins JA; Gillies C; Kays RW; Newman C; Pereira HM; Walters, M.; Scholes, R.J. | |
| 发表日期 | 2016 |
| 出处 | The GEO Handbook on Biodiversity Observation Networks. Eds. Walters, M. & Scholes, R.J. , pp. 211-237 Cham, Switzerland: Springer. ISBN 978-3-319-27286-3 |
| 出版年 | 2016 |
| 语种 | 英语 |
| 摘要 | The involvement of non-professionals in scientific research and environmental monitoring, termed Citizen Science (CS), has now become a mainstream approach for collecting data on earth processes, ecosystems and biodiversity. This chapter examines how CS might contribute to ongoing efforts in biodiversity monitoring, enhancing observation and recording of key species and systems in a standardised manner, thereby supporting data relevant to the Essential Biodiversity Variables (EBVs), as well as reaching key constituencies who would benefit Biodiversity Observation Networks (BONs). The design of successful monitoring or observation networks that rely on citizen observers requires a careful balancing of the two primary user groups, namely data users and data contributors (i.e., citizen scientists). To this end, this chapter identifies examples of successful CS programs as well as considering practical issues such as the reliability of the data, participant recruitment and motivation, and the use of emerging technologies. |
| 主题 | Ecosystems Services and Management (ESM) |
| 关键词 | Citizen science Essential biodiversity variables Biodiversity monitoring Data reliability Data standards Emerging technologies |
| URL | http://pure.iiasa.ac.at/id/eprint/14005/ |
| 来源智库 | International Institute for Applied Systems Analysis (Austria) |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/134527 |
| 推荐引用方式 GB/T 7714 | Chandler M,See L,Buesching CD,et al. Involving Citizen Scientists in Biodiversity Observation.. 2016. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
| Involving%20Citizen%（301KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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