Connecting Earth observation to high-throughput biodiversity data
文献类型：期刊论文
| 作者 | Bohmann K18,19; Balzter H16,17; Sollmann R2; Olson JR12; Wilting A1; Bush A3,8,13; Cole B17; Yu DW*13,18; dougwyu@gmail.com |
| 刊名 | NATURE ECOLOGY & EVOLUTION
 |
| 出版日期 | 2017 |
| 卷号 | 1期号:X页码:e0176 |
| 英文摘要 | 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. |
| 语种 | 英语 |
| 资助机构 | This Perspective is a product of the EO-BESS Working Group, organized by H.B., D.R. and B.C. and funded by the UK Natural Environment Research Council. ; This Perspective is a product of the EO-BESS Working Group, organized by H.B., D.R. and B.C. and funded by the UK Natural Environment Research Council. ; This Perspective is a product of the EO-BESS Working Group, organized by H.B., D.R. and B.C. and funded by the UK Natural Environment Research Council. ; This Perspective is a product of the EO-BESS Working Group, organized by H.B., D.R. and B.C. and funded by the UK Natural Environment Research Council. |
| 源URL | [http://159.226.149.26:8080/handle/152453/11782]  |
| 专题 | 昆明动物研究所_遗传资源与进化国家重点实验室 昆明动物研究所_动物生态学研究中心 |
| 通讯作者 | dougwyu@gmail.com |
| 作者单位 | 1.Boyd Orr Centre for Population and Ecosystem Health, University of Glasgow, Glasgow G12 8QQ, UK 2.Robert Koch Institut, Berlin 13353, Germany 3.3 CSIRO Land and Water, Canberra, Australian Capital Territory 2601, Australia. 4.Department of Wildlife, Fish, & Conservation Biology, 1088 Academic Surge, One Shields Avenue, University of California Davis, Davis, California 95616, USA 5.Leibniz Institute for Zoo and Wildlife Research, Alfred-Kowalke-Str. 17, 10315 Berlin, Germany 6.EvoGenomics, Natural History Museum of Denmark, University of Copenhagen, 1350 Copenhagen K, Denmark 7.School of Biological Sciences, University of East Anglia, Norwich Research Park, Norwich, Norfolk NR4 7TJ, UK 8.2 Environment Canada, Canadian Rivers Institute, Department of Biology, University of New Brunswick, PO Box 4400, Fredericton, New Brunswick E3B 5A3, Canada 9.Centre for Landscape and Climate Research and Leicester Institute for Space and Earth Observation (LISEO), University of Leicester, University Road, Leicester LE1 7RH, UK 10.NERC National Centre for Earth Observation (NCEO) at University of Leicester, University Road, Leicester LE1 7RH, UK |
| 推荐引用方式 GB/T 7714 | Bohmann K,Balzter H,Sollmann R,et al. Connecting Earth observation to high-throughput biodiversity data[J]. NATURE ECOLOGY & EVOLUTION,2017,1(X):e0176. |
| APA | Bohmann K.,Balzter H.,Sollmann R.,Olson JR.,Wilting A.,...&dougwyu@gmail.com.(2017).Connecting Earth observation to high-throughput biodiversity data.NATURE ECOLOGY & EVOLUTION,1(X),e0176. |
| MLA | Bohmann K,et al."Connecting Earth observation to high-throughput biodiversity data".NATURE ECOLOGY & EVOLUTION 1.X(2017):e0176. |
入库方式： OAI收割
来源：昆明动物研究所
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