Distance decay 2.0 –A global synthesis of taxonomic and functional turnover in ecological communities
Metadata
Show full item recordEditorial
Wiley
Materia
β-diversity Biogeography Environmental gradient Spatial distance Trait
Date
2022-05-12Referencia bibliográfica
Graco-Roza, C... [et al.] (2022). Distance decay 2.0 – A global synthesis of taxonomic and functional turnover in ecological communities. Global Ecology and Biogeography, 00, 1– 23. [https://doi.org/10.1111/geb.13513]
Sponsorship
Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior (CAPES) Fundacao Carlos Chagas Filho de Amparo a Pesquisa do Estado do Rio De Janeiro (FAPERJ); Ella and Georg Erhnrooth Foundation; Ministry of Education, Youth & Sports - Czech Republic LTAUSA19137 Grant Agency of the Czech Republic 20-05840Y Czech Academy of Sciences RVO 67985939; Academy of Finland 309581; Jane and Aatos Erkko Foundation; Research Council of Norway through its Centres of Excellence Funding Scheme 223257; European Research Council (ERC) 856506; CAS Key Research Program of Frontier Sciences QYZDB-SSW-DQC043; National Natural Science Foundation of China (NSFC) 91851117; German Research Foundation (DFG) DFG FZT 118; TRY initiative on plant traitsAbstract
Aim: Understanding the variation in community composition and species abundances
(i.e., β-diversity)
is at the heart of community ecology. A common approach to examine
β-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.