Data from: Resource stoichiometry and availability modulate species richness and biomass of tropical litter macro-invertebrates

Jochum M, Barnes AD, Weigelt P, Ott D, Rembold K, Farajallah A, Brose U

Date Published: May 18, 2017

DOI: http://dx.doi.org/10.5061/dryad.qn119

 

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Title Predictor variables for model averaging procedure
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Description Litter mass, plant species richness, soil pH and litter carbon to element ratios for N, P, K, Ca, Mg, Na, and S measured on the core sites of the EFForTS project (http://www.uni-goettingen.de/en/310995.html) in the Jambi Province on Sumatra, Indonesia in 2012. Sites are coded as landscape-land use system-replicate (two landscapes: Bukit Duabelas (B) and Harapan (H); four land-use systems: Forest (F), Jungle rubber (J), Rubber (R), Oil palm (O); four replicates). Litter_mass gives the dry litter mass per ground area in g cm-2 (Krashevska et al., Biol. Fertil. Soils, 2015). Plant_rich gives the species richness of all trees with a diameter equal to or larger than 10 cm at breast height as well as all vascular plants per site. Soil pH, analysed in a 1:4 soil-to-water ratio, was taken from Allen et al. (PLoS ONE, 2015). Elemental ratios (CX) were calculated based on mg per g dry weight of the analysed leaf litter material. To obtain these site-averaged ratios, ratios of single leaf samples were weighted according to their relative importance in local leaf litter at each site (Jochum et al., The American Naturalist, 2017). Note that prior to analyses, predictor variables were transformed and standardized (see main article).
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Title Observed litter macro-invertebrate species richness per consumer group and site
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Description Litter macro-invertebrate species richness of 14 consumer groups observed on the core sites of the EFForTS project (http://www.uni-goettingen.de/en/310995.html) in the Jambi Province on Sumatra, Indonesia in 2012. Sites are coded as landscape-land use system-replicate (two landscapes: Bukit Duabelas (B) and Harapan (H); four land-use systems: Forest (F), Jungle rubber (J), Rubber (R), Oil palm (O); four replicates). Values represent species richness observed on 3 square metres per site for ten selected taxonomic groups (ants, blattodea, chilopoda, coleoptera, diplopoda, isopoda, isoptera, opiliones, orthoptera, spiders), three functional feeding guilds (detritivores, predators, omnivores) and the complete consumer community (all). It should be noted that the values for the selected taxonomic consumer groups do not necessarily add up to the values of the functional feeding guilds or the complete community as these aggregated groups contained more individuals than just the selected groups. These values are given as reference points for the extrapolated consumer species richness values actually used in the model averaging procedure.
Download Jochum_JAE2017_observed_consumer_richness.csv (1.502 Kb)
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Title Extrapolated litter macro-invertebrate species richness per consumer group and site
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Description Extrapolated litter macro-invertebrate species richness of 14 consumer groups for the core sites of the EFForTS project (http://www.uni-goettingen.de/en/310995.html) in the Jambi Province on Sumatra, Indonesia in 2012. Sites are coded as landscape-land use system-replicate (two landscapes: Bukit Duabelas (B) and Harapan (H); four land-use systems: Forest (F), Jungle rubber (J), Rubber (R), Oil palm (O); four replicates). Values represent extrapolated species richness per site for ten selected taxonomic groups (ants, blattodea, chilopoda, coleoptera, diplopoda, isopoda, isoptera, opiliones, orthoptera, spiders), three functional feeding guilds (detritivores, predators, omnivores) and the complete consumer community (all). For each consumer group, extrapolated species richness was calculated based on the three subplot samples, using the nonparametric “jacknife 2” estimator (Brose et al., Ecology, 2003).
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Title Litter macro-invertebrate biomass per consumer group and site
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Description Fresh biomass of 14 litter macro-invertebrate groups from the core sites of the EFForTS project (http://www.uni-goettingen.de/en/310995.html) in the Jambi Province on Sumatra, Indonesia in 2012. Sites are coded as landscape-land use system-replicate (two landscapes: Bukit Duabelas (B) and Harapan (H); four land-use systems: Forest (F), Jungle rubber (J), Rubber (R), Oil palm (O); four replicates). Values represent fresh biomass per site for ten selected taxonomic groups (ants, blattodea, chilopoda, coleoptera, diplopoda, isopoda, isoptera, opiliones, orthoptera, spiders), three functional feeding guilds (detritivores, predators, omnivores) and the complete consumer community (all). Fresh biomass in mg m-2 was calculated as the sum of individual body masses of all sampled individuals that were, in turn, calculated using length-mass regressions from the literature (Barnes et al., Nat. Commun., 2014). It should be noted that the values for the selected taxonomic consumer groups do not necessarily add up to the values of the functional feeding guilds or the complete community as these aggregated groups contained more individuals than just the selected groups.
Download Jochum_JAE2017_consumer_biomass.csv (3.147 Kb)
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Title Coefficients and 95% confidence intervals for averaged consumer species richness models (Fig1)
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Description Standardized coefficients and 95% confidence intervals for each of the ten predictors from each of 14 averaged consumer species richness models presented in Figure 1. Consumer groups are the ten selected taxonomic groups (ants, blattodea, chilopoda, coleoptera, diplopoda, isopoda, isoptera, opiliones, orthoptera, spiders), three functional feeding guilds (detritivores, predators, omnivores) and the complete consumer community (all). Predictor variables are litter mass (LM), plant species richness (prich), soil pH (pH), and litter carbon to element ratios for N, P, K, Ca, Mg, Na, and S. Coef gives the standardized coefficient of each predictor for each averaged model. Confint_lower_boundary and confint_upper_boundary give the 95% confidence interval for the coefficients. It should be noted that for all stoichiometric parameters, negative coefficients indicate a positive effect of the respective elemental availability as the models were run on C:element ratios. As such, a positive effect of e.g. C:N corresponds to a negative effect of N in main text Fig. 1.
Download Jochum_JAE2017_Fig1_richness_coefs_confint.csv (4.654 Kb)
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Title Coefficients and 95% confidence intervals for averaged consumer biomass models (Fig2)
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Description Standardized coefficients and 95% confidence intervals for each of the ten predictors from each of 14 averaged consumer biomass models presented in Figure 2. Consumer groups are the ten selected taxonomic groups (ants, blattodea, chilopoda, coleoptera, diplopoda, isopoda, isoptera, opiliones, orthoptera, spiders), three functional feeding guilds (detritivores, predators, omnivores) and the complete consumer community (all). Predictor variables are litter mass (LM), plant species richness (prich), soil pH (pH), and litter carbon to element ratios for N, P, K, Ca, Mg, Na, and S. Coef gives the standardized coefficient of each predictor for each averaged model. Confint_lower_boundary and confint_upper_boundary give the 95% confidence interval for the coefficients. It should be noted that for all stoichiometric parameters, negative coefficients indicate a positive effect of the respective elemental availability as the models were run on C:element ratios. As such, a positive effect of e.g. C:N corresponds to a negative effect of N in main text Fig. 2.
Download Jochum_JAE2017_Fig2_biomass_coefs_confint.csv (4.643 Kb)
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When using this data, please cite the original publication:

Jochum M, Barnes AD, Weigelt P, Ott D, Rembold K, Farajallah A, Brose U (2017) Resource stoichiometry and availability modulate species richness and biomass of tropical litter macro-invertebrates. Journal of Animal Ecology, online in advance of print. http://dx.doi.org/10.1111/1365-2656.12695

Additionally, please cite the Dryad data package:

Jochum M, Barnes AD, Weigelt P, Ott D, Rembold K, Farajallah A, Brose U (2017) Data from: Resource stoichiometry and availability modulate species richness and biomass of tropical litter macro-invertebrates. Dryad Digital Repository. http://dx.doi.org/10.5061/dryad.qn119
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