Journal article : Review
Towards global data products of essential biodiversity variables on species traits
- Abstract:
- Essential Biodiversity Variables (EBVs) allow observation and reporting of global biodiversity change, but a detailed framework for the empirical derivation of specific EBVs has yet to be developed. Here, we re-examine and refine the previous candidate set of species traits EBVs and show how traits related to phenology, morphology, reproduction, physiology and movement can contribute to EBV operationalization. The selected EBVs express intra-specific trait variation and allow monitoring of how organisms respond to global change. We evaluate the societal relevance of species traits EBVs for policy targets and demonstrate how open, interoperable and machine-readable trait data enable the building of EBV data products. We outline collection methods, meta(data) standardization, reproducible workflows, semantic tools and licence requirements for producing species traits EBVs. An operationalization is critical for assessing progress towards biodiversity conservation and sustainable development goals and has wide implications for data-intensive science in ecology, biogeography, conservation and Earth observation.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 1.7MB, Terms of use)
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- Publisher copy:
- 10.1038/s41559-018-0667-3
Authors
- Publisher:
- Nature Research
- Journal:
- Nature Ecology and Evolution More from this journal
- Volume:
- 2
- Issue:
- 10
- Pages:
- 1531-1540
- Place of publication:
- England
- Publication date:
- 2018-09-17
- Acceptance date:
- 2018-07-16
- DOI:
- EISSN:
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2397-334X
- Pmid:
-
30224814
- Language:
-
English
- Keywords:
- Subtype:
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Review
- Pubs id:
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920738
- Local pid:
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pubs:920738
- Deposit date:
-
2020-02-17
- ARK identifier:
Terms of use
- Copyright holder:
- Kissling, W.D., Walls, R., Bowser, A. et al.
- Copyright date:
- 2018
- Rights statement:
- Copyright 2018 The Authors. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
- Licence:
- CC Attribution (CC BY)
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