Does the use of biological traits predict a smooth landscape of ecosystem functioning?

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dc.contributor.author Gammal, Johanna
dc.contributor.author Hewitt, Judi
dc.contributor.author Norkko, Joanna
dc.contributor.author Norkko, Alf
dc.contributor.author Thrush, Simon
dc.date.accessioned 2020-11-11T08:43:01Z
dc.date.available 2020-11-11T08:43:01Z
dc.date.issued 2020-10
dc.identifier.citation Gammal , J , Hewitt , J , Norkko , J , Norkko , A & Thrush , S 2020 , ' Does the use of biological traits predict a smooth landscape of ecosystem functioning? ' , Ecology and Evolution , vol. 10 , no. 19 , pp. 10395-10407 . https://doi.org/10.1002/ece3.6696
dc.identifier.other PURE: 144091711
dc.identifier.other PURE UUID: 25cce62b-4a51-470f-8772-d519721f0b60
dc.identifier.other WOS: 000561047100001
dc.identifier.other ORCID: /0000-0001-9885-8408/work/88208191
dc.identifier.uri http://hdl.handle.net/10138/321330
dc.description.abstract The biodiversity crisis has increased interest in understanding the role of biodiversity for ecosystem functioning. Functional traits are often used to infer ecosystem functions to increase our understanding of these relationships over larger spatial scales. The links between specific traits and ecosystem functioning are, however, not always well established. We investigated how the choice of analyzing either individual species, selected modalities, or trait combinations affected the spatial patterns observed on a sandflat and how this was related to the natural variability in ecosystem functioning. A large dataset of 400 benthic macrofauna samples was used to explore distribution patterns. We hypothesized that (1) if multiple species (redundancy) represent a trait combination or a modality their spatial patterns would be smoothed out, and (2) the lost spatial variability within a trait combination or modality, due to the smoothing effect, would potentially affect their utility for predicting ecosystem functioning (tested on a dataset of 24 samples). We predicted that species would show heterogeneous small spatial patterns, while modalities and trait combinations would show larger and more homogeneous patterns because they would represent a collection of many distributions. If modalities and trait combinations are better predictors of ecosystem functioning than species, then the smoother spatial patterns of modalities and trait combinations would result in a more homogeneous landscape of ecosystem function and the number of species exhibiting specific traits would provide functional redundancy. Our results showed some smoothing of spatial patterns progressing from species through modalities to trait combinations, but generally spatial patterns reflected a few dominant key species. Moreover, some individual modalities and species explained more or equal proportions of the variance in the ecosystem functioning than the combined traits. The findings thus suggest that only some spatial variability is lost when species are combined into modalities and trait combinations and that a homogeneous landscape of ecosystem function is not likely. en
dc.format.extent 13
dc.language.iso eng
dc.relation.ispartof Ecology and Evolution
dc.rights cc_by
dc.rights.uri info:eu-repo/semantics/openAccess
dc.subject benthic macrofauna
dc.subject biodiversity-ecosystem functioning
dc.subject functional traits
dc.subject key species
dc.subject redundancy
dc.subject spatial patterns
dc.subject SPATIAL AUTOCORRELATION
dc.subject MARINE BIODIVERSITY
dc.subject BENTHIC MACROFAUNA
dc.subject SPECIES IDENTITY
dc.subject DIVERSITY
dc.subject HETEROGENEITY
dc.subject COMMUNITIES
dc.subject REDUNDANCY
dc.subject SEDIMENTS
dc.subject INCREASE
dc.subject 1181 Ecology, evolutionary biology
dc.title Does the use of biological traits predict a smooth landscape of ecosystem functioning? en
dc.type Article
dc.contributor.organization Tvärminne Benthic Ecology Team
dc.contributor.organization Marine Ecosystems Research Group
dc.contributor.organization Tvärminne Zoological Station
dc.contributor.organization Biological stations
dc.contributor.organization Ecosystems and Environment Research Programme
dc.description.reviewstatus Peer reviewed
dc.relation.doi https://doi.org/10.1002/ece3.6696
dc.relation.issn 2045-7758
dc.rights.accesslevel openAccess
dc.type.version publishedVersion

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