Plant community traits and phylogeny predict soil carbon and nutrient cycling in Mediterranean mixed forests [Dataset]

Table S1. Soil samples collected per plant species, forest (Jaén JA; Segura SE), dominant mycorrhizal type (Myc) of plants (arbuscular mycorrhizal AM; ectomycorrhizal ECM) and season (Autumn; Spring). Enzymatic activities (pmol mg-1 h-1 SOM-1) related to carbon (C), nitrogen (N) and phosphorous (P) cycles in the soils collected under the different plant species are shown. The enzymes corresponding to each cycle are: Labile C = β-glucosidase + cellobiohydrolase; Non-labile C = β-xylosidase + β-glucuronidase + laccase; N = chitinase + leucine-aminopeptidase; P = acid + alkaline phosphatases. Table S2. Linear Mixed-Effect Models testing the effect of season, forest and plant species on soil properties and C and nutrient cycling. Season and forest were fixed factors, while the site nested in forest and the plant species nested in site and forest were random factors. Significant interactions among factors were not detected. Labile C = β-glucosidase + cellobiohydrolase; Non-labile C = β-glucuronidase + β-xylosidase + laccase; N cycling = chitinase + leucine-aminopeptidase; P cycling = acid + alkaline phosphatase. Soil properties: pH, SOM = soil organic matter, soil moisture. χ12 values for fixed and random factors and Bonferroni corrected p-values ‘***’ p < 0.001, ‘**’ p < 0.01, ‘*’ p < 0.05, ‘.’ p < 0.10, are given; significant effects are noted in bold. The coefficient of determination (pseudo-R2, i.e., variance explained) is shown for both pools of fixed and random factors. Table S3. Plant phylogenetic composition and morpho-functional traits predictors of carbon and nutrient cycling in soils, analysed by Redundancy Analysis. A Redundancy Analysis was carried out per forest, a) Jaén and b) Segura, to determine the non-redundant phylogenetic PCoA axes and morpho-functional traits that explained responses of carbon and nutrient cycling. ANOVA results (F statistic and p-value) were extracted from each Redundancy Analysis and those significant (p < 0.05) compiled in this table (see also Figure 4). Fig. S1. Relationship between N cycling-related enzymatic activities with C cycling-related ones. Pearson correlations were carried out to relate N-related enzymes (chitinase + leucine amino-peptidase) with hydrolytic (β-glucosidase + cellobiohydrolase + β-glucuronidase + β-xylosidase) and oxidative (laccase) C-related enzymes. Each plot shows the correlation coefficient (r) with its p-value. Fig. S2. Local Moran’s Index (LMI) calculated for carbon and nutrient cycling and cycling ratios and mapped onto the plant phylogeny per forest, a) Jaén and b) Segura. Positive/negative LMI values indicate that closely relatives tend to show similar/dissimilar values for a given variable. Values marked in red indicate significant and marginal autocorrelations, i.e., p < 0.05 and 0.05 > p < 0.10, respectively. Hotspots of positive (i.e., phylogenetic conservatism) and negative (i.e., phylogenetic divergence) autocorrelation are differentiated with triangles and all are represented by LMI with p < 0.05. See correspondence between acronyms and plant names in Table S1. Labile C = β-glucosidase and cellobiohydrolase; Non-labile C = β-xylosidase, β-glucuronidase and laccase; N = chitinase and leucine-aminopeptidase; P = acid and alkaline phosphatases. Figure S3. Phylogenetic composition of plant communities. Principal Coordinates Analysis (PCoA) was run over the phylogenetic distance matrix of plant species studied per forest, Jaén and Segura. Eigenvector values (PCoA-n) that significantly explained responses of carbon and nutrient cycling were used in RDA analyses. Scores of PCoA axis were plotted by plant species at each forest, a) Jaén and b) Segura, and may locate taxa across the phylogeny on the PCoA axes. The total percentage of variance explained by significant PCoA axes was 3.4 % for Jaén and 0.2 % for Segura.

Bibliographic Details

Main Authors:	Prieto Rubio, Jorge, Perea, A., Garrido Sánchez, José Luis, Alcántara, Julio M., Azcón González de Aguilar, Concepción, López-García, A., Rincón, Ana
Other Authors:	Prieto Rubio, Jorge [0000-0002-5600-5113]
Format:	dataset biblioteca
Language:	English
Published:	Springer Nature 2023-08
Online Access:	http://hdl.handle.net/10261/359262
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