Journal article

Modeling biodiversity benchmarks in variable environments

Jian DL Yen, Josh Dorrough, Ian Oliver, Michael Somerville, Megan J McNellie, Christopher J Watson, Peter A Vesk



Effective environmental assessment and management requires quantifiable biodiversity targets. Biodiversity benchmarks define these targets by focusing on specific biodiversity metrics, such as species richness. However, setting fixed targets can be challenging because many biodiversity metrics are highly variable, both spatially and temporally. We present a multivariate, hierarchical Bayesian method to estimate biodiversity benchmarks based on the species richness and cover of native terrestrial vegetation growth forms. This approach uses existing data to quantify the empirical distributions of species richness and cover within growth forms, and we use the upper quantiles of these distributi..

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Awarded by Australian Research Council Centre of Excellence for Environmental Decisions

Funding Acknowledgements

This research was supported by the Australian Research Council Centre of Excellence for Environmental Decisions (CE11001000104) and the New South Wales Office of Environment and Heritage. The views expressed herein are those of the authors and are not necessarily those of the New South Wales or Australian Governments or the Australian Research Council. Thanks to Fei Ji who extracted rainfall data used in this analysis.