Environmental and historical imprints on beta diversity: insights from variation in rates of species turnover along gradients

Author:

Fitzpatrick Matthew C.1,Sanders Nathan J.2,Normand Signe3,Svenning Jens-Christian4,Ferrier Simon5,Gove Aaron D.6,Dunn Robert R.78

Affiliation:

1. Appalachian Laboratory, University of Maryland Centre for Environmental Science, Frostburg, MD 21532, USA

2. Department of Ecology and Evolutionary Biology, University of Tennessee, 569 Dabney Hall, Knoxville, TN 37996-1610, USA

3. Landscape Dynamics, Swiss Federal Research Institute WSL, Birmensdorf, Switzerland

4. Ecoinformatics and Biodiversity Group, Department of Bioscience, Aarhus University, Aarhus, Denmark

5. CSIRO Ecosystem Sciences, Canberra, Australian Capital Territory, Australia

6. Department of Environment and Agriculture, Curtin University, Perth, Western Australia, Australia

7. Department of Biology, North Carolina State University, Raleigh, NC 276595-7617, USA

8. Keck Center for Behavioral Biology, North Carolina State University, Raleigh, NC 276595-7617, USA

Abstract

A common approach for analysing geographical variation in biodiversity involves using linear models to determine the rate at which species similarity declines with geographical or environmental distance and comparing this rate among regions, taxa or communities. Implicit in this approach are weakly justified assumptions that the rate of species turnover remains constant along gradients and that this rate can therefore serve as a means to compare ecological systems. We use generalized dissimilarity modelling, a novel method that accommodates variation in rates of species turnover along gradients and between different gradients, to compare environmental and spatial controls on the floras of two regions with contrasting evolutionary and climatic histories: southwest Australia and northern Europe. We find stronger signals of climate history in the northern European flora and demonstrate that variation in rates of species turnover is persistent across regions, taxa and different gradients. Such variation may represent an important but often overlooked component of biodiversity that complicates comparisons of distance–decay relationships and underscores the importance of using methods that accommodate the curvilinear relationships expected when modelling beta diversity. Determining how rates of species turnover vary along and between gradients is relevant to understanding the sensitivity of ecological systems to environmental change.

Publisher

The Royal Society

Subject

General Agricultural and Biological Sciences,General Environmental Science,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine

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