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Environmental and historical imprints on beta diversity: insights from variation in rates of species turnover along gradients
Author(s) -
Matthew C. Fitzpatrick,
Nathan J. Sanders,
Signe Normand,
JensChristian Svenning,
Simon Ferrier,
Aaron D. Gove,
Robert R. Dunn
Publication year - 2013
Publication title -
proceedings of the royal society b biological sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.342
H-Index - 253
eISSN - 1471-2954
pISSN - 0962-8452
DOI - 10.1098/rspb.2013.1201
Subject(s) - beta diversity , ecology , biodiversity , taxon , variation (astronomy) , environmental gradient , species diversity , environmental change , distance decay , diversity (politics) , climate change , geography , biology , habitat , physics , sociology , astrophysics , anthropology
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.

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