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Multiple drivers of functional diversity in temperate forest understories: Climate, soil, and forest structure effects.
Chelli, Stefano; Bricca, Alessandro; Tsakalos, James L; Andreetta, Anna; Bonari, Gianmaria; Campetella, Giandiego; Carnicelli, Stefano; Cervellini, Marco; Puletti, Nicola; Wellstein, Camilla; Canullo, Roberto.
Afiliação
  • Chelli S; School of Biosciences and Veterinary Medicine, Plant Diversity and Ecosystems Management Unit, University of Camerino, Camerino, Italy; Centro Interuniversitario per le Biodiversità Vegetale Big Data - PLANT DATA, Department of Biological, Geological and Environmental Sciences, Alma Mater Studiorum,
  • Bricca A; Faculty of Agricultural, Environmental and Food Sciences, Free University of Bozen-Bolzano, Bolzano, Italy.
  • Tsakalos JL; School of Biosciences and Veterinary Medicine, Plant Diversity and Ecosystems Management Unit, University of Camerino, Camerino, Italy; Harry Butler Institute, Murdoch University, Murdoch, Perth, WA, Australia.
  • Andreetta A; Department of Chemical and Geological Sciences, University of Cagliari, Italy.
  • Bonari G; Department of Life Sciences, University of Siena, Siena, Italy.
  • Campetella G; School of Biosciences and Veterinary Medicine, Plant Diversity and Ecosystems Management Unit, University of Camerino, Camerino, Italy; Centro Interuniversitario per le Biodiversità Vegetale Big Data - PLANT DATA, Department of Biological, Geological and Environmental Sciences, Alma Mater Studiorum,
  • Carnicelli S; Department of Earth Science, University of Florence, Florence, Italy.
  • Cervellini M; School of Biosciences and Veterinary Medicine, Plant Diversity and Ecosystems Management Unit, University of Camerino, Camerino, Italy.
  • Puletti N; CREA, Research Centre for Forestry and Wood, Arezzo, Italy.
  • Wellstein C; Faculty of Agricultural, Environmental and Food Sciences, Free University of Bozen-Bolzano, Bolzano, Italy.
  • Canullo R; School of Biosciences and Veterinary Medicine, Plant Diversity and Ecosystems Management Unit, University of Camerino, Camerino, Italy; Centro Interuniversitario per le Biodiversità Vegetale Big Data - PLANT DATA, Department of Biological, Geological and Environmental Sciences, Alma Mater Studiorum,
Sci Total Environ ; 916: 170258, 2024 Mar 15.
Article em En | MEDLINE | ID: mdl-38246378
ABSTRACT
In macroecology, shifting from coarse- to local-scale explanatory factors is crucial for understanding how global change impacts functional diversity (FD). Plants possess diverse traits allowing them to differentially respond across a spectrum of environmental conditions. We aim to assess how macro- to microclimate, stand-scale measured soil properties, forest structure, and management type, influence forest understorey FD at the macroecological scale. Our study covers Italian forests, using thirteen predictors categorized into climate, soil, forest structure, and management. We analyzed five traits (i.e., specific leaf area, plant size, seed mass, belowground bud bank size, and clonal lateral spread) capturing independent functional dimensions to calculate the standardized effect size of functional diversity (SES-FD) for all traits (multi-trait) and for single traits. Multiple regression models were applied to assess the effect of predictors on SES-FD. We revealed that climate, soil, and forest structure significantly drive SES-FD of specific leaf area, plant size, seed mass, and bud bank. Forest management had a limited effect. However, differences emerged between herbaceous and woody growth forms of the understorey layer, with herbaceous species mainly responding to climate and soil features, while woody species were mainly affected by forest structure. Future warmer and more seasonal climate could reduce the diversity of resource economics, plant size, and persistence strategies of the forest understorey. Soil eutrophication and acidification may impact the diversity of regeneration strategies; canopy closure affects the diversity of above- and belowground traits, with a larger effect on woody species. Multifunctional approaches are vital to disentangle the effect of global changes on functional diversity since independent functional specialization axes are modulated by different drivers.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Solo / Florestas Tipo de estudo: Prognostic_studies Idioma: En Revista: Sci Total Environ Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Solo / Florestas Tipo de estudo: Prognostic_studies Idioma: En Revista: Sci Total Environ Ano de publicação: 2024 Tipo de documento: Article