Global Ecology and BiogeographyEcologyPeer-reviewed journal article
Distance decay 2.0 - a global synthesis of taxonomic and functional turnover in ecological communities.
C. Graco-Roza, S. Aarnio, N. Abrego, A. T. R. Acosta, J. Alahuhta, J. Altman, C. Angiolini, J. Aroviita, F. Attorre, L. Baastrup-Spohr, J. J. Barrera-Alba, J. Belmaker, I. Biurrun, G. Bonari, H. Bruelheide, S. Burrascano, M. Carboni, P. Cardoso, J. C. Carvalho, G. Castaldelli, M. Christensen, G. Correa, I. Dembicz, J. Dengler, J. Dolezal, , Hunter
Abstract
Understanding the variation in community composition and species abundances, i.e., {beta}-diversity, is at the heart of community ecology. A common approach to examine {beta}-diversity is to evaluate directional turnover in community composition by measuring the decay in the similarity among pairs of communities along spatial or environmental distances. We provide the first global synthesis of taxonomic and functional distance decay along spatial and environmental distance by analysing 149 datasets comprising different types of organisms and environments. We modelled an exponential distance decay for each dataset using generalized linear models and extracted r2 and slope to analyse the strength and the rate of the decay. We studied whether taxonomic or functional similarity has stronger decay across the spatial and environmental distances. We also unveiled the factors driving the rate of decay across the datasets, including latitude, spatial extent, realm, and organismal features. Taxonomic distance decay was stronger along spatial and environmental distances compared with functional distance decay. The rate of taxonomic spatial distance decay was the fastest in the datasets from mid-latitudes while the rate of functional decay increased with latitude. Overall, datasets covering larger spatial extents showed a lower rate of decay along spatial distances but a higher rate of decay along environmental distances. Marine ecosystems had the slowest rate of decay. This synthesis is an important step towards a more holistic understanding of patterns and drivers of taxonomic and functional {beta}-diversity.
- organism: multiple species
- assay: metagenomics
- research focus: ecology & biodiversity
- approach: statistical model
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