Published January 31, 2024 | Version v1
Dataset Open

Elevation differently shapes functional diversity patterns in understory forest communities when considering intraspecific and interspecific trait variability

  • 1. BIOME Lab, Department of Biological, Geological and Environmental Sciences, Alma Mater Studiorum - University of Bologna, Via Irnerio 42, 40126 Bologna, Italy
  • 1. BIOME Lab, Department of Biological, Geological and Environmental Sciences, Alma Mater Studiorum - University of Bologna, Via Irnerio 42, 40126 Bologna, Italy
  • 2. Faculty of Forestry and Wood Sciences, Czech University of Life Sciences Prague, Prague – Suchdol, Czech Republic
  • 3. Faculty of Agricultural, Environmental and Food Sciences, Free University of Bozen-Bolzano, Bolzano, Italy
  • 4. Parco Nazionale Foreste Casentinesi, Monte Falterona e Campigna, Arezzo, Italy

Description

Datasets used for the analysis done for the paper "Elevation differently shapes functional diversity patterns in understory forest communities when considering intraspecific and interspecific trait variability".

Files present are:

-Species x Plot (vegetation releveés).

-Plot x Environment.

-Plot x CWM_inter for Plant height, Leaf area, Specific Leaf Area (SLA), Leaf Dry Matter Content (LDMC) using the traits fixed for species, i.e., holding traits constant as the species mean, thus incorporating only turnover.

-Plot x CWM_intra for Plant height, Leaf area, Specific Leaf Area (SLA), Leaf Dry Matter Content (LDMC) based on an individual by trait matrix, therefore incorporating both turnover and intraspecific trait variation.

-Plot x SES-FD_inter (Standard Effect Size Functional Diversity) for Plant height, Leaf area, Specific Leaf Area (SLA), Leaf Dry Matter Content (LDMC) using the traits fixed for species, i.e., holding traits constant as the species mean, thus incorporating only turnover.

-Plot x SES-FD_intra (Standard Effect Size Functional Diversity) for Plant height, Leaf area, Specific Leaf Area (SLA), Leaf Dry Matter Content (LDMC) based on an individual by trait matrix, therefore incorporating both turnover and intraspecific trait variation.

All analysis were carried out using the software R version 4.1.2 (R Foundation for Statistical Computing, Vienna, Austria, http://www.R-project.org) and can be consulted on GitHub https://github.com/AriannaFerrara/Elevation-and-Intraspecific-trait-variability.git

Files

CWM_inter.csv

Files (13.1 kB)

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md5:87b34c36c2edbf48870ed3c63e9f3f66
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md5:b6e25f0a88e4ce43b9d4072f15b1c45f
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md5:0f8a5791d0b074785f27ee438906c70a
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md5:d91043ff6d5bd07de1f4e8d1bca2f8a0
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md5:418ed1a0392e4fe3450d1c38d28fd173
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md5:ae222ac7b5fb7c2ee9cf066ade662413
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Additional details

References

  • Ferrara, A., Lelli, C., Ronco, A., Chiarucci, A. (2024) Elevation differently shapes functional diversity patterns in understory forest communities when considering intraspecific and interspecific trait variability. Zenodo. 10.5281/zenodo.10599617