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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Biological Conservat...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Biological Conservation
Article . 2017 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Using the essential biodiversity variables framework to measure biodiversity change at national scale

Authors: Eren Turak; James Brazill-Boast; Tim Cooney; Michael Drielsma; Jocelyn DelaCruz; Gillian Dunkerley; Miguel Fernandez; +10 Authors

Using the essential biodiversity variables framework to measure biodiversity change at national scale

Abstract

Abstract The essential biodiversity variables (EBV) framework was developed primarily to improve the detection of significant changes in global biodiversity. Its application at national level must support county-specific policy and management needs as well as allowing comparisons of estimates of biodiversity change between countries and their aggregation for reporting at regional, continental and global scales. Here we outline a process for prioritising biodiversity variables at national scale using the EBV framework. The process involves separately identifying candidate EBVs that are useful for tracking important changes in biodiversity in each major ecological feature in each ecoregion within a country. The list is then prioritised based on the proportion of ecological feature ecoregion combinations using each variable within and across terrestrial, marine and freshwater realms. We showcased this process in Australian state of New South Wales (NSW) using terrestrial, marine and freshwater ecoregions of the world as bioregional strata; vegetation formations as terrestrial ecological features, and broad aquatic ecosystem types as marine and freshwater ecological features. There was sufficient knowledge of ecological processes to identify useful variables for 85% of the ecological feature ecoregion combinations in NSW. Eleven candidate EBVs covering all six EBV classes, were useful in all three environmental realms. Our structured, stepwise approach to variable selection provides a transparent process for identifying important elements of ecological theory underpinning biodiversity monitoring within countries. Worldwide adoption of a process for prioritising biodiversity variables such as the one we propose here would help ensure consistency of national contributions to global biodiversity assessments.

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    influence
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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
36
Top 10%
Top 10%
Top 10%
Funded by
Related to Research communities
Italian National Biodiversity Future Center
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