Bush, A. et al. (2017) Connecting Earth observation to high-throughput biodiversity data. Nature Ecology and Evolution, 1, 0176. (doi: 10.1038/s41559-017-0176)
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Abstract
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.
Item Type: | Articles |
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Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Cobbold, Professor Christina and Reeve, Professor Richard and Matthews, Professor Louise |
Authors: | Bush, A., Rahel, S., Wilting, A., Kristine, B., Cole, B., Balzter, H., Martius, C., Zlinszky, A., Calvignac-Spencer, S., Cobbold, C. A., Dawson, T. P., Emerson, B. C., Ferrier, S., Gilbert, M. T. P., Herold, M., Jones, L., Leendertz, F. H., Matthews, L., Millington, J. D.A., Olson, J. R., Ovaskainen, O., Raffaelli, D., Reeve, R., Rödel, M.-O., Rodgers, T. W., Snape, S., Visseren-Hamakers, I., Wogler, A. P., White, P. C.L., Wooster, M. J., and Yu, D. W. |
College/School: | College of Science and Engineering > School of Mathematics and Statistics > Mathematics College of Medical Veterinary and Life Sciences > School of Biodiversity, One Health & Veterinary Medicine |
Journal Name: | Nature Ecology and Evolution |
Publisher: | Nature |
ISSN: | 2397-334X |
ISSN (Online): | 2397-334X |
Copyright Holders: | Copyright © 2017 Nature Publications |
First Published: | First published in Nature Ecology and Evolution 1:0176 |
Publisher Policy: | Reproduced in accordance with the copyright policy of the publisher |
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