Building essential biodiversity variables (EBVs) of species distribution and abundance at a global scale
- Submitting institution
-
Aston University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 25957782
- Type
- D - Journal article
- DOI
-
10.1111/brv.12359
- Title of journal
- Biological Reviews
- Article number
- -
- First page
- 600
- Volume
- 93
- Issue
- 1
- ISSN
- 1464-7931
- Open access status
- Compliant
- Month of publication
- August
- Year of publication
- 2017
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- 7 - Earth Systems and Environmental Sciences
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
35
- Research group(s)
-
A - Aston Institute of Urban Technology and the Environment (ASTUTE)
- Citation count
- 91
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper represents international consensus on the way forward for Essential Biodiversity Variables (EBVs) designed to harmonize environmental monitoring worldwide. Principles by which research infrastructures and observing systems should interoperate were derived from this work and delineated in the Bari Manifesto (https://doi.org/10.1016/j.ecoinf.2018.11.003) adopted by the Group on Earth Observations Biodiversity Observation Network (GEO BON - https://geobon.org/ebvs/what-are-ebvs/). The work directly influenced research on coastal ecosystems (https://doi.org/10.1002/eap.1682), tropical forest and savannah monitoring (https://doi.org/10.3390/rs9101059; https://doi.org/10.1016/j.rse.2018.06.044) and bioinformatics (https://doi.org/10.1016/j.biocon.2017.12.024; https://doi.org/10.1016/j.biocon.2017.12.024). In partnership with Microsoft’s AI for Earth program, three paper authors have launched a US$1 million grant program to support creation of EBVs (https://geobon.org/geo-bon-microsoft-ebvs-on-the-cloud/)
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
