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Monday, 5 December 2016

Functional Trait Strategies of Trees in Dry and Wet Tropical Forests Are Similar but Differ in Their Consequences for Succession

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contains data belonging to the article " Functional trait strategies of trees in dry and wet tropical forests are similar but differ in their consequences for succession" by M. Lohbeck, E. Lebrija-Trejos, M. Martínez-Ramos, J.A. Meave, L. Poorter and F. Bongers.

Data are presented per forest type, the first two sheets containing the data from the Principal Components Analyses (Fig 1). Presented are the traits, their eigenvector scores and the species scores on the first four axes. The last two sheets present the secondary forest plot data, their fallow ages, stand basal area and their Community-Weighted Mean scores on the first two PCA axes (see methods, Fig 3 and S1 Fig).
doi:10.1371/journal.pone.0123741.s001
(XLSX)

S1 Fig. Changes in the dominant plant strategies with succession, using two different indicators of succession: stand basal area (a, b) and fallow age (c, d).

Functional composition was calculated using the community-weighted mean of species scores on the principal component axes (Fig 1). Dry forest succession (open symbols, [d], broken regression line) was characterized by changes along the first PCA axis and reflected changes from deciduous species to evergreen species that invest in a secure reproductive strategy. This was significant when using stand basal area as a successional indicator (a), and when using fallow age (c). Wet forest succession (solid symbols, [w], continuous regression line) was characterized by changes along the second PCA axis and reflected changes from an acquisitive strategy to a conservative strategy. This was significant when using stand basal area as successional indicator (b), but not when using fallow age (d). Given is the r2, * P < 0.05; ** P < 0.01.
doi:10.1371/journal.pone.0123741.s002
(TIFF)

S1 Table. List of species included in this study, in alphabetical order and grouped per forest type.

These species represent at least 80% of the basal area of each secondary forest plot. All species except Aragebortia sp. (wet forest) were used in the phylogenetic analysis, as for this species the family was unknown.
doi:10.1371/journal.pone.0123741.s003
(DOCX)

S2 Table. Phylogenetic signal for each of the functional traits for the two forest types (a: dry forest, b: wet forest).

Given are Blomberg’s K [29], the variance based on the observed trait distribution on the phylogeny, the randomized mean and the statistical significance of the difference between the observed phylogenetic signal and the random scenario (based on 999 randomizations).
doi:10.1371/journal.pone.0123741.s004
(DOCX)

S3 Table. Spearman coefficients of the pairwise relations between Phylogenetic Independent Contrasts.

Relations between the binary variables (LC, De and Di) are Phi coefficients. §Traits were ln-transformed prior to PIC calculation. Lower-left half of the matrix corresponds to dry forest species (n = 51), Upper-right half corresponds to wet forest species (n = 80). * P < 0.05, ** P < 0.01, *** P < 0.001. These values are very similar to the original pairwise trait-correlations (Table 2), as resulting from the strong correlation between the correlation coefficient in this table and those of Table 2 (Pearson 0.97, P< 0.001)
doi:10.1371/journal.pone.0123741.s005
(DOCX)

Acknowledgments

We are indebted to the people of Nizanda, Oaxaca, and Loma Bonita, Chiapas, for their hospitality and assistance during field work. We appreciate landowners’ cooperation and permission to enter their fields and collect plant material for conducting this research. This work received invaluable input from many people: Gilberto Jamangapé, Jorge Rodríguez-Velázquez, Marco Romero, Eduardo A. Pérez-García, Eva van den Elzen, Erik Peters, Paul van Esch, Michiel van Breugel, Alejandra Tauro, Eunice Romero-Pérez and Horacio Paz. Special thanks to Renske Onstein for her advice regarding the phylogenetic analyses.

Author Contributions

Conceived and designed the experiments: ML ELT MMR JAM LP FB. Performed the experiments: ML ELT MMR JAM LP FB. Analyzed the data: ML. Contributed reagents/materials/analysis tools: ML ELT MMR JAM LP FB. Wrote the paper: ML ELT MMR JAM LP FB.

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