生物多样性
吞吐量
土(古典元素)
计算机科学
天体生物学
生态学
环境科学
物理
天文
生物
电信
无线
作者
Alex Bush,Rahel Sollmann,Andreas Wilting,Kristine Bohmann,Beth Cole,Heiko Balzter,Christopher Martius,András Zlinszky,Sébastien Calvignac‐Spencer,Christina A. Cobbold,Terence P. Dawson,Brent C. Emerson,Simon Ferrier,M. Thomas P. Gilbert,Martin Herold,Laurence Jones,Fabian H. Leendertz,Louise Matthews,James Millington,John R. Olson
标识
DOI:10.1038/s41559-017-0176
摘要
Understandably, given the fast pace of biodiversity loss, there is much interest in using Earth observation technology to track biodiversity, ecosystem functions and ecosystem services. However, because most biodiversity is invisible to Earth observation, indicators based on Earth observation could be misleading and reduce the effectiveness of nature conservation and even unintentionally decrease conservation effort. We describe an approach that combines automated recording devices, high-throughput DNA sequencing and modern ecological modelling to extract much more of the information available in Earth observation data. This approach is achievable now, offering efficient and near-real-time monitoring of management impacts on biodiversity and its functions and services. A new approach is outlined for capturing multiple facets of biodiversity in near real-time by combining the latest advances in automated Earth observation recording, high-throughput sequencing and ecological modelling.
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