Reviewing, refining and identifying optimum aggregation methods for undertaking marine biodiversity status assessments
Barnard, S.; Strong, J. ORCID: https://orcid.org/0000-0001-8603-097X. 2014 Reviewing, refining and identifying optimum aggregation methods for undertaking marine biodiversity status assessments. Peterborough, Joint Nature Conservation Committee. (JNCC Report 536)
Before downloading, please read NORA policies.Preview |
Text
Report_536_Print.pdf Download (1MB) | Preview |
Abstract/Summary
This project aims to review, refine and identify the optimum aggregation methods for undertaking marine biodiversity status assessments. The appropriate aggregation of information is central to most marine biodiversity status assessment methods (e.g. Borja et al 2013; Ojaveer & Eero 2011). As the aggregation rules that are used in any given assessment process can have a significant effect on the assessment outcome (e.g. Ojaveer & Eero 2011), the selection of an appropriate aggregation method is an important part of building a robust assessment process. Furthermore, the need to move towards an assessment and reporting cycle where information can be used across multiple obligations means that the concept of harmonisation is also an important factor in the selection of an aggregation method. To date, marine biodiversity status assessments in the UK have been responsive to particular reporting requirements, resulting in peaks and troughs in resource requirements and hence the need for frequent changes in staff and financial resources. As such, the aspiration is to develop assessment approaches where the results under one marine biodiversity assessment requirement can be easily disaggregated into its component parts so that the information can be reaggregated to meet the needs of a different requirement.
Item Type: | Publication - Report |
---|---|
ISSN: | 0963 8901 |
Funders/Sponsors: | Institute of Estuarine and Coastal Studies, University of Hull |
Date made live: | 16 Nov 2018 10:42 +0 (UTC) |
URI: | https://nora.nerc.ac.uk/id/eprint/521593 |
Actions (login required)
View Item |
Document Downloads
Downloads for past 30 days
Downloads per month over past year