Measuring continuous compositional change using decline and decay in zeta diversity.

Autor: McGeoch MA; School of Biological Sciences, Monash University, Clayton, Victoria, 3800, Australia., Latombe G; School of Biological Sciences, Monash University, Clayton, Victoria, 3800, Australia., Andrew NR; Zoology, University of New England, Armidale, New South Wales, 2351, Australia., Nakagawa S; Evolution and Ecology Research Centre and School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, New South Wales, 2052, Australia.; Diabetes and Metabolism Division, Garvan Institute of Medical Research, Sydney, New South Wales, 2010, Australia., Nipperess DA; Department of Biological Sciences, Macquarie University, North Ryde, New South Wales, 2109, Australia., Roigé M; National Centre for Advanced Bio-Protection Technologies, Lincoln University, Canterbury, 7647, New Zealand., Marzinelli EM; Centre for Marine Bio-Innovation, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, New South Wales, 2052, Australia.; Sydney Institute of Marine Science, 19 Chowder Bay Road, Mosman, New South Wales, 2088, Australia.; School of Life and Environmental Sciences, University of Sydney, Sydney, New South Wales, 2006, Australia., Campbell AH; Centre for Marine Bio-Innovation, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, New South Wales, 2052, Australia.; Sydney Institute of Marine Science, 19 Chowder Bay Road, Mosman, New South Wales, 2088, Australia., Vergés A; Centre for Marine Bio-Innovation, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, New South Wales, 2052, Australia.; Sydney Institute of Marine Science, 19 Chowder Bay Road, Mosman, New South Wales, 2088, Australia., Thomas T; Centre for Marine Bio-Innovation, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, New South Wales, 2052, Australia., Steinberg PD; Centre for Marine Bio-Innovation, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, New South Wales, 2052, Australia.; Sydney Institute of Marine Science, 19 Chowder Bay Road, Mosman, New South Wales, 2088, Australia.; School of Life and Environmental Sciences, University of Sydney, Sydney, New South Wales, 2006, Australia., Selwood KE; School of Biosciences, University of Melbourne, Parkville, Victoria, 3010, Australia.; Wildlife and Conservation Science, Zoos Victoria, Parkville, Victoria, 3052, Australia., Henriksen MV; School of Biological Sciences, Monash University, Clayton, Victoria, 3800, Australia., Hui C; Centre for Invasion Biology, Department of Mathematical Sciences, Stellenbosch University, Matieland, 7602, South Africa.; African Institute for Mathematical Sciences, Cape Town, 7945, South Africa.
Jazyk: angličtina
Zdroj: Ecology [Ecology] 2019 Nov; Vol. 100 (11), pp. e02832. Date of Electronic Publication: 2019 Aug 14.
DOI: 10.1002/ecy.2832
Abstrakt: Incidence, or compositional, matrices are generated for a broad range of research applications in biology. Zeta diversity provides a common currency and conceptual framework that links incidence-based metrics with multiple patterns of interest in biology, ecology, and biodiversity science. It quantifies the variation in species (or OTU) composition of multiple assemblages (or cases) in space or time, to capture the contribution of the full suite of narrow, intermediate, and wide-ranging species to biotic heterogeneity. Here we provide a conceptual framework for the application and interpretation of patterns of continuous change in compositional diversity using zeta diversity. This includes consideration of the survey design context, and the multiple ways in which zeta diversity decline and decay can be used to examine and test turnover in the identity of elements across space and time. We introduce the zeta ratio-based retention rate curve to quantify rates of compositional change. We illustrate these applications using 11 empirical data sets from a broad range of taxa, scales, and levels of biological organization-from DNA molecules and microbes to communities and interaction networks-including one of the original data sets used to express compositional change and distance decay in ecology. We show (1) how different sample selection schemes used during the calculation of compositional change are appropriate for different data types and questions, (2) how higher orders of zeta may in some cases better detect shifts and transitions, and (3) the relative roles of rare vs. common species in driving patterns of compositional change. By exploring the application of zeta diversity decline and decay, including the retention rate, across this broad range of contexts, we demonstrate its application for understanding continuous turnover in biological systems.
(© 2019 by the Ecological Society of America.)
Databáze: MEDLINE
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