White, Piran Crawfurd Limond orcid.org/0000-0002-7496-5775 and Yu, Douglas (2017) Connecting Earth Observation to High-Throughput Biodiversity Data. Nature Ecology and Evolution. pp. 1-9.
Abstract
There is much interest in using Earth Observation (EO) technology to track biodiversity, ecosystem functions, and ecosystem services, understandable given the fast pace of biodiversity loss. However, because most biodiversity is invisible to EO, EO-based indicators could be misleading, which can 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 EO data. This approach is achievable now, 62 offering efficient and near-real time monitoring of management impacts on biodiversity and its functions and services.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 Macmillan Publishers Limited, part of Springer Nature. All rights reserved. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Environment and Geography (York) |
Funding Information: | Funder Grant number NATURAL ENVIRONMENT RESEARCH COUNCIL NE/N000307/1 NATURAL ENVIRONMENT RESEARCH COUNCIL PR100027 |
Depositing User: | Pure (York) |
Date Deposited: | 10 Jul 2017 16:00 |
Last Modified: | 03 Jan 2025 00:10 |
Published Version: | https://doi.org/10.1038/s41559-017-0176 |
Status: | Published online |
Refereed: | Yes |
Identification Number: | 10.1038/s41559-017-0176 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:118918 |
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