Projects per year
Abstract
Concern that European forest biodiversity is depleted and declining has provoked widespread efforts to improve management practices. To gauge the success of these actions, appropriate monitoring of forest ecosystems is paramount. Multi-species indicators are frequently used to assess the state of biodiversity and its response to implemented management, but generally applicable and objective methodologies for species' selection are lacking. Here we use a niche-based approach, underpinned by coarse quantification of species' resource use, to objectively select species for inclusion in a pan-European forest bird indicator. We identify both the minimum number of species required to deliver full resource coverage and the most sensitive species' combination, and explore the trade-off between two key characteristics, sensitivity and redundancy, associated with indicators comprising different numbers of species. We compare our indicator to an existing forest bird indicator selected on the basis of expert opinion and show it is more representative of the wider community. We also present alternative indicators for regional and forest type specific monitoring and show that species' choice can have a significant impact on the indicator and consequent projections about the state of the biodiversity it represents. Furthermore, by comparing indicator sets drawn from currently monitored species and the full forest bird community, we identify gaps in the coverage of the current monitoring scheme. We believe that adopting this niche-based framework for species' selection supports the objective development of multi-species indicators and that it has good potential to be extended to a range of habitats and taxa.
Original language | English |
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Article number | e97217 |
Journal | PLoS One |
Volume | 9 |
Issue number | 5 |
DOIs | |
Publication status | Published - 12 May 2014 |
Profiles
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Simon Butler
- School of Biological Sciences - Professor of Applied Ecology
- Centre for Ecology, Evolution and Conservation - Member
- Organisms and the Environment - Member
Person: Research Group Member, Research Centre Member, Academic, Teaching & Research
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Taoyang Wu
- School of Computing Sciences - Lecturer in Computing Sciences
- Centre for Ecology, Evolution and Conservation - Member
- Computational Biology - Member
- Data Science and AI - Member
Person: Research Group Member, Research Centre Member, Academic, Teaching & Research
Projects
- 1 Finished
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Improving the targeted delivery of conservation management to halt biodiversity loss (UEA Lead)
Natural Environment Research Council
1/10/11 → 30/09/14
Project: Fellowship