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Nipperess, D. A.

Publications and source records attributed to Nipperess, D. A..

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The application of zeta diversity as a continuous measure of compositional change in ecology

Zeta diversity provides the average number of shared species across n sites (or shared operational taxonomic units (OTUs) across n cases). It quantifies the variation in species composition of multiple assemblages in space and time to capture the contribution of the full suite of narrow, intermediate and wide-ranging species to biotic heterogeneity. Zeta diversity was proposed for measuring compositional turnover in plant and animal assemblages, but is equally relevant for application to any biological system that can be characterised by a row by column incidence matrix. Here we illustrate the application of zeta diversity to explore compositional change in empirical data, and how observed patterns may be interpreted. We use 10 datasets from a broad range of scales and levels of biological organisation - from DNA molecules to microbes, plants and birds - including one of the original data sets used by R.H. Whittaker in the 1960s to express compositional change and distance decay using beta diversity. The applications show (i) how different sampling schemes used during the calculation of zeta diversity may be appropriate for different data types and ecological questions, (ii) how higher orders of zeta may in some cases better detect shifts, transitions or periodicity, and importantly (iii) the relative roles of rare versus common species in driving patterns of compositional change. By exploring the application of zeta diversity across this broad range of contexts, our goal is to demonstrate its value as a tool for understanding continuous biodiversity turnover and as a metric for filling the empirical gap that exists on spatial or temporal change in compositional diversity.

ecology

Generalised Complementarity Analysis: identifying the most preciousplaces for the conservation of Species, Functional and PhylogeneticDiversity

The most precious places for conservation are those that make the largest contribution to regional, national or global biodiversity. The two key concepts for determining the contribution of a specific site are Complementarity (the gain in diversity achieved when adding that site to a set of other sites) and Irreplaceability (here defined as the overall complementarity of that site when compared to a range of possible combinations of other sites). Generalised Complementarity Analysis (GCA) is a mathematical framework that provides an exact analytical solution for the expected complementarity (gain in diversity) of a focal site, when added to a set of other sites of a given size (m). Diversity is defined very generally to allow for complementarity to be calculated for species richness, Functional Diversity or Phylogenetic Diversity. The expected irreplaceability of a focal site is then defined in GCA as the area under the curve of expected complementarity values for all possible values of m. GCA is much more computationally efficient than existing algorithmic approaches and is scalable to very large numbers of sites. Because complementarity and irreplaceability are calculated for all possible combinations of sites, GCA serves as a null model for systematic conservation planning algorithms that seek to optimise site selection. However, because truly irreplaceable sites remain so under all possible site selections, GCA is a powerful conservation planning tool in its own right, providing an efficient means of identifying the worlds most precious places for conservation.

ecology