RT journal article
T1 Distance decay 2.0-A global synthesis of taxonomic and functional turnover in ecological communities
A1 Graco-Roza, Caio
A1 Aarnio, Sonja
A1 Abrego, Nerea
A1 Acosta, Alicia T.R.
A1 Alahuhta, Janne
A1 Altman, Jan
A1 Angiolini, Claudia
A1 Aroviita, Jukka
A1 Attorre, Fabio
A1 Baastrup-Spohr, Lars
A1 Barrera-Alba, Jose J.
A1 Belmaker, Jonathan
A1 Biurrun, Idoia
A1 Bonari, Gianmaria
A1 Bruelheide, Helge
A1 Burrascano, Sabina
A1 Carboni, Marta
A1 Cardoso, Pedro
A1 Carvalho, José C.
A1 Castaldelli, Giuseppe
A1 Christensen, Morten
A1 Correa, Gilsineia
A1 Dembicz, Iwona
A1 Dengler, Jürgen
A1 Dolezal, Jiri
A1 Domingos, Patricia
A1 Erös, Tibor
A1 Ferreira, Carlos E.L.
A1 Filibeck, Goffredo
A1 Floeter, Sergio R.
A1 Friedlander, Alan M.
A1 Gammal, Johanna
A1 Gavioli, Anna
A1 Gossner, Martin M.
A1 Granot, Itai
A1 Guarino, Riccardo
A1 Gustafsson, Camilla
A1 Hayden, Brian
A1 He, Siwen
A1 Heilmann-Clausen, Jacob
A1 Heino, Jani
A1 Hunter, John T.
A1 Huszar, Vera L.M.
A1 Janišová, Monika
A1 Jyrkänkallio-Mikkola, Jenny
A1 Kahilainen, Kimmo K.
A1 Kemppinen, Julia
A1 Kozub, Łukasz
A1 Kruk, Carla
A1 Franco Rodil, Iván
A2 Biología
K1 β-diversity
K1 biogeography
K1 environmental gradient
K1 spatial distance
K1 trait
AB Aim: 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 variation in community composition by measuring the decay in the similarity among pairs of communities along spatial or environmental distance. We provide the first global synthesis of taxonomic and functional distance decay along spatial and environmental distance by analysing 148 datasets comprising different types of organisms and environments.Location: Global.Time period: 1990 to present.Major taxa studied: From diatoms to mammals.Method: We measured the strength of the decay using ranked Mantel tests (Mantel r) and the rate of distance decay as the slope of an exponential fit using generalized linear models. We used null models to test whether functional similarity decays faster or slower than expected given the taxonomic decay along the spatial and environmental distance. We also unveiled the factors driving the rate of decay across the datasets, including latitude, spatial extent, realm and organismal features.Results: Taxonomic distance decay was stronger than functional distance decay along both spatial and environmental distance. Functional distance decay was random given the taxonomic distance decay. The rate of taxonomic and functional spatial distance decay was fastest in the datasets from mid-latitudes. Overall, datasets covering larger spatial extents showed a lower rate of decay along spatial distance but a higher rate of decay along environmental distance. Marine ecosystems had the slowest rate of decay along environmental distances.Main conclusions: In general, taxonomic distance decay is a useful tool for biogeographical research because it reflects dispersal-related factors in addition to species responses to climatic and environmental variables. Moreover, functional distance decay might be a cost-effective option for investigating community changes in heterogeneous environments.
PB WILEY
SN 1466-822X
YR 2022
FD 2022-07
LK http://hdl.handle.net/10498/27150
UL http://hdl.handle.net/10498/27150
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 15-nov-2026