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Intraspecific variability of leaf form and function across habitat types.

Giacomo PuglielliAlessandro BriccaStefano ChelliFrancesco PetruzzellisAlicia T R AcostaGiovanni BacaroEleonora BeccariLiliana BernardinoGianmaria BonariRossano BolpagniFrancesco BoscuttiGiacomo CalviaGiandiego CampetellaLaura CancellieriRoberto CanulloMichele CarbognaniMarta CarboniMaria Laura CarranzaMaria Beatrice CastellaniDaniela CiccarelliAndrea CoppiMauirizio CutiniAlice Dalla VecchiaMichele Dalle FratteMaria Carla de FrancescoPieter De FrenneMichele De SanctisLeopoldo de SimoneValter Di CeccoGiuliano FanelliEmmanuele FarrisArianna FerraraGiuseppe FenuGoffredo FilibeckCristina GasperiniDomenico GarganoElisabeth KindermannGreta La BellaLorenzo LastrucciLorenzo LazzaroSimona MaccheriniMichela MarignaniMichele MugnaiLuigi Naselli-FloresNicodemo Giuseppe PassalacquaNicola PavanettoAlessandro PetragliaFrancesco RotaLucia Antonietta SantoianniAldo SchettinoFederico SelviAngela StanisciGiacomo TrottaPieter VangansbekeMarco VarricchioneMarco VuerichCamilla WellsteinEnrico Tordoni
Published in: Ecology letters (2024)
Trait-based ecology has already revealed main independent axes of trait variation defining trait spaces that summarize plant adaptive strategies, but often ignoring intraspecific trait variability (ITV). By using empirical ITV-level data for two independent dimensions of leaf form and function and 167 species across five habitat types (coastal dunes, forests, grasslands, heathlands, wetlands) in the Italian peninsula, we found that ITV: (i) rotated the axes of trait variation that define the trait space; (ii) increased the variance explained by these axes and (iii) affected the functional structure of the target trait space. However, the magnitude of these effects was rather small and depended on the trait and habitat type. Our results reinforce the idea that ITV is context-dependent, calling for careful extrapolations of ITV patterns across traits and spatial scales. Importantly, our study provides a framework that can be used to start integrating ITV into trait space analyses.
Keyphrases
  • genome wide
  • climate change
  • dna methylation
  • gene expression
  • machine learning
  • deep learning
  • heavy metals
  • human health