cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.3562956.v1
title: Supplement 6. Complete AICc results for the College Pasture site (Hays, KS, USA).

description: File List Supplement6.csv (MD5: e3f159b1ef6d3783b663e3c70bbd2371) Description Model selection results from analysis of the relationship between weather models and total plant species (A) richness and (B) diversity in each plant assemblage at College Pasture (1934–1972, <i>N</i> = 39). <i>R</i>² = least-square means regression coefficient, K = # of model parameters including intercept and first order autoregressive parameter, LL = log likelihood, AICc = Akaike Information Criterion corrected for small samples size, DAICc = difference in AICc value between given model and model with lowest AICc, wi = Akaike weights (measure of relative importance of a given model compared to all other models in the model set). Treatments (TRT) are as follows: No_bb = ungrazed big bluestem assemblage, No_et = ungrazed ecotone assemblage, No_lb = ungrazed little bluestem assemblage, No_sg = ungrazed shortgrass assemblage, Yes_sg = cattle-grazed shortgrass assemblage. CV = coefficient of variation, sum = summer, spr = spring, win = winter, PPT = precipitation, TEMP = temperature, t_1 = season preceding growing season (spring and summer) when plants were sampled. Ecologically meaningful models (EMMs) were those with DAICc &lt; 2 and <i>R</i>² &gt; 0.30. Model # corresponds to a priori models as described in Appendix B.
DOI: 10.6084/m9.figshare.3562953
title: Supplement 7. Complete relative importance values for College Pasture.

description: File List Supplement7.csv (MD5: 83ba886cfcb88fcd0292ceebe80f3c09) Description Relative importance values (RIVs) of weather variables for total species (A) richness and (B) Shannon diversity (H') for College Pasture. RIVs are calculated as the sum of Akaike weights (<i>wi</i>) across all models in which a given variable appeared for each plant community. See Appendix B for description of all a priori models and Supplement 6 for all results of AICC analyses. CV = coefficient of variation, sum = summer, spr = spring, win = winter, PPT = precipitation, TEMP = temperature, t_1 = season preceding growing season (spring and summer) when plants were sampled.
DOI: 10.6084/m9.figshare.3562953.v1
title: Supplement 7. Complete relative importance values for College Pasture.

description: File List Supplement7.csv (MD5: 83ba886cfcb88fcd0292ceebe80f3c09) Description Relative importance values (RIVs) of weather variables for total species (A) richness and (B) Shannon diversity (H') for College Pasture. RIVs are calculated as the sum of Akaike weights (<i>wi</i>) across all models in which a given variable appeared for each plant community. See Appendix B for description of all a priori models and Supplement 6 for all results of AICC analyses. CV = coefficient of variation, sum = summer, spr = spring, win = winter, PPT = precipitation, TEMP = temperature, t_1 = season preceding growing season (spring and summer) when plants were sampled.
DOI: 10.6084/m9.figshare.3562950
title: Supplement 8. Complete AICc results for Shortgrass Steppe LTER (Nunn, CO, USA).

description: File List Supplement8.csv (MD5: de2f8325bb54eb8b6bac123ebbb8ef4b) Description Model selection results from analysis of the relationship between weather models and total plant species (A) richness and (B) diversity at Shortgrass Steppe (1993–2011, <i>N</i> = 19). <i>R</i>² = least-square means regression coefficient, K = # of model parameters including intercept and first order autoregressive parameter estimate, LL = log likelihood, AICc = Akaike Information Criterion corrected for small samples size, DAICc=difference in AICc value between given model and model with lowest AICC, wi = Akaike weights (measure of relative importance of a given model compared to all other models in the model set). CV = coefficient of variation, sum = summer, spr = spring, win = winter, PPT = precipitation, TEMP = temperature, t_1 = season preceding growing season (spring and summer) when plants were sampled. Ecologically meaningful models (EMMs) were those with DAICc &lt; 2 and <i>R</i>² &gt; 0.30. Model # corresponds to a priori models as described in Appendix B.
DOI: 10.6084/m9.figshare.3562950.v1
title: Supplement 8. Complete AICc results for Shortgrass Steppe LTER (Nunn, CO, USA).

description: File List Supplement8.csv (MD5: de2f8325bb54eb8b6bac123ebbb8ef4b) Description Model selection results from analysis of the relationship between weather models and total plant species (A) richness and (B) diversity at Shortgrass Steppe (1993–2011, <i>N</i> = 19). <i>R</i>² = least-square means regression coefficient, K = # of model parameters including intercept and first order autoregressive parameter estimate, LL = log likelihood, AICc = Akaike Information Criterion corrected for small samples size, DAICc=difference in AICc value between given model and model with lowest AICC, wi = Akaike weights (measure of relative importance of a given model compared to all other models in the model set). CV = coefficient of variation, sum = summer, spr = spring, win = winter, PPT = precipitation, TEMP = temperature, t_1 = season preceding growing season (spring and summer) when plants were sampled. Ecologically meaningful models (EMMs) were those with DAICc &lt; 2 and <i>R</i>² &gt; 0.30. Model # corresponds to a priori models as described in Appendix B.
DOI: 10.6084/m9.figshare.3562947
title: Supplement 9. Complete relative importance values for Shortgrass Steppe.

description: File List Supplement9.csv (MD5: 5ce88d23fa4a8f0af559346b1196d315) Description Relative importance values (RIVs) of weather variables for total species (A) richness and (B) Shannon diversity (H') for Shortgrass Steppe. RIVs are calculated as the sum of Akaike weights (<i>wi</i>) across all models in which a given variable appeared. See Appendix B for description of all a priori models and Supplement 8 for all results of AICC analyses. CV = coefficient of variation, sum = summer, spr = spring, win = winter, PPT = precipitation, TEMP = temperature, t_1 = season preceding growing season (spring and summer) when plants were sampled.
DOI: 10.6084/m9.figshare.3562947.v1
title: Supplement 9. Complete relative importance values for Shortgrass Steppe.

description: File List Supplement9.csv (MD5: 5ce88d23fa4a8f0af559346b1196d315) Description Relative importance values (RIVs) of weather variables for total species (A) richness and (B) Shannon diversity (H') for Shortgrass Steppe. RIVs are calculated as the sum of Akaike weights (<i>wi</i>) across all models in which a given variable appeared. See Appendix B for description of all a priori models and Supplement 8 for all results of AICC analyses. CV = coefficient of variation, sum = summer, spr = spring, win = winter, PPT = precipitation, TEMP = temperature, t_1 = season preceding growing season (spring and summer) when plants were sampled.
DOI: 10.6084/m9.figshare.3562944
title: Supplement 10. Results of all Stage 1 analyses.

description: File List Supplement10.csv (MD5: 164a4f4aa089966d463070bf683475a0) Description Mixed-model analysis results for effects of experimental treatments on native, exotic, and total species richness (S) and Shannon diversity (H') at (A) Cedar Creek, and total richness and total diversity in the (B) Konza Prairie fire frequency experiment, (C) Konza Prairie grazing experiment, (D) Konza Prairie season of burn experiment, (E) College Pasture, and (F) Shortgrass Steppe datasets. First-order autoregressive error (AR1) covariance structure was used for all analyses except total richness in the Konza Prairie fire frequency and total diversity in the Shortgrass Steppe data sets. In these data sets, compound symmetry (CS) error covariance structure was found to be more appropriate based on AIC values. NDF = numerator degrees of freedom, DDF=denominator degrees of freedom. N-addition = nitrogen fertilization treatments (Cedar Creek), FRI = fire return interval treatments, SB = season of burn treatments, community = plant assemblages.
DOI: 10.6084/m9.figshare.3562944.v1
title: Supplement 10. Results of all Stage 1 analyses.

description: File List Supplement10.csv (MD5: 164a4f4aa089966d463070bf683475a0) Description Mixed-model analysis results for effects of experimental treatments on native, exotic, and total species richness (S) and Shannon diversity (H') at (A) Cedar Creek, and total richness and total diversity in the (B) Konza Prairie fire frequency experiment, (C) Konza Prairie grazing experiment, (D) Konza Prairie season of burn experiment, (E) College Pasture, and (F) Shortgrass Steppe datasets. First-order autoregressive error (AR1) covariance structure was used for all analyses except total richness in the Konza Prairie fire frequency and total diversity in the Shortgrass Steppe data sets. In these data sets, compound symmetry (CS) error covariance structure was found to be more appropriate based on AIC values. NDF = numerator degrees of freedom, DDF=denominator degrees of freedom. N-addition = nitrogen fertilization treatments (Cedar Creek), FRI = fire return interval treatments, SB = season of burn treatments, community = plant assemblages.
DOI: 10.6084/m9.figshare.3562941
title: Appendix A. Overview of the 27 lichen species included in our study.

description: Overview of the 27 lichen species included in our study.
DOI: 10.6084/m9.figshare.3562941.v1
title: Appendix A. Overview of the 27 lichen species included in our study.

description: Overview of the 27 lichen species included in our study.
DOI: 10.6084/m9.figshare.3562938
title: Appendix B. Overview of the carbon-based secondary compounds in the 27 lichen species.

description: Overview of the carbon-based secondary compounds in the 27 lichen species.
DOI: 10.6084/m9.figshare.3562938.v1
title: Appendix B. Overview of the carbon-based secondary compounds in the 27 lichen species.

description: Overview of the carbon-based secondary compounds in the 27 lichen species.
DOI: 10.6084/m9.figshare.3562935
title: Appendix C. Correlations coefficients (r) between invertebrate abundance and lichen traits.

description: Correlations coefficients (r) between invertebrate abundance and lichen traits.
DOI: 10.6084/m9.figshare.3562935.v1
title: Appendix C. Correlations coefficients (r) between invertebrate abundance and lichen traits.

description: Correlations coefficients (r) between invertebrate abundance and lichen traits.
DOI: 10.6084/m9.figshare.3562932
title: Appendix D. Correlation coefficients (r) between invertebrate community characteristics and lichen traits.

description: Correlation coefficients (r) between invertebrate community characteristics and lichen traits.
DOI: 10.6084/m9.figshare.3562932.v1
title: Appendix D. Correlation coefficients (r) between invertebrate community characteristics and lichen traits.

description: Correlation coefficients (r) between invertebrate community characteristics and lichen traits.
DOI: 10.6084/m9.figshare.3562929
title: Appendix E. Springtail species encountered across the 27 lichen species.

description: Springtail species encountered across the 27 lichen species.
DOI: 10.6084/m9.figshare.3562929.v1
title: Appendix E. Springtail species encountered across the 27 lichen species.

description: Springtail species encountered across the 27 lichen species.
DOI: 10.6084/m9.figshare.3562926
title: Appendix F. Mite taxa encountered across the 27 lichen species.

description: Mite taxa encountered across the 27 lichen species.
DOI: 10.6084/m9.figshare.3562926.v1
title: Appendix F. Mite taxa encountered across the 27 lichen species.

description: Mite taxa encountered across the 27 lichen species.
DOI: 10.6084/m9.figshare.3562923
title: Appendix G. Nematode families encountered across the 27 lichen species.

description: Nematode families encountered across the 27 lichen species.
DOI: 10.6084/m9.figshare.3562923.v1
title: Appendix G. Nematode families encountered across the 27 lichen species.

description: Nematode families encountered across the 27 lichen species.
DOI: 10.6084/m9.figshare.3562920
title: Appendix A. Equations used to estimate shrub biomass in sample plots.

description: Equations used to estimate shrub biomass in sample plots.
DOI: 10.6084/m9.figshare.3562920.v1
title: Appendix A. Equations used to estimate shrub biomass in sample plots.

description: Equations used to estimate shrub biomass in sample plots.
DOI: 10.6084/m9.figshare.3562917
title: Appendix B. Fungal and bacterial functional genes chosen for analysis on Geochip.

description: Fungal and bacterial functional genes chosen for analysis on Geochip.
DOI: 10.6084/m9.figshare.3562917.v1
title: Appendix B. Fungal and bacterial functional genes chosen for analysis on Geochip.

description: Fungal and bacterial functional genes chosen for analysis on Geochip.
DOI: 10.6084/m9.figshare.3562914
title: Appendix C. Fungal and bacterial orders, and, functional genes which significantly drive the difference in taxonomic composition and functional dissimilarity respectively, between treatments.

description: Fungal and bacterial orders, and, functional genes which significantly drive the difference in taxonomic composition and functional dissimilarity respectively, between treatments.
DOI: 10.6084/m9.figshare.3562914.v1
title: Appendix C. Fungal and bacterial orders, and, functional genes which significantly drive the difference in taxonomic composition and functional dissimilarity respectively, between treatments.

description: Fungal and bacterial orders, and, functional genes which significantly drive the difference in taxonomic composition and functional dissimilarity respectively, between treatments.
DOI: 10.6084/m9.figshare.3562911
title: Appendix A. Example publications with flawed use of model-averaged regression coefficients.

description: Example publications with flawed use of model-averaged regression coefficients.
DOI: 10.6084/m9.figshare.3562908
title: Appendix B. Simulations of multi-part compositional predictors and an evaluation of the Sage-Grouse model of Rice et al. (2013).

description: Simulations of multi-part compositional predictors and an evaluation of the Sage-Grouse model of Rice et al. (2013).
DOI: 10.6084/m9.figshare.3562905
title: Supplement 1. R code to compute model-averaged regression coefficients for Burnham and Anderson (2002) college gpa example and to simulate multi-part compositional predictors and model-averaged estimates similar to Rice et al (2013) zero-truncated Poisson regression count model for Greater Sage-Grouse.

description: File List Supplement1.txt (MD5: faff226df1ad4adfa82f2ca1700d5010) Supplement2.txt (MD5: 51eeb647483834e7ea0742d81ffc4372) Description Supplement1.txt has R script to read in the college GPA example data from Burnham and Anderson 2002:226, estimates the 16 linear least squares regression models, computes AICc, AICc weights, variance inflation factors, partial standard deviations of predictors, standardizes estimates by partial standard deviations, computes model-averaged standardized estimates and their standard errors, and computes the model-averaged ratio of <i>t</i> statistics for unstandardized estimates (equivalent to model-averaged ratio of standardized estimates). The code is written to be transparent with respect to the mathematical operations rather than for efficiency. Supplement2.txt has R script to generate the simulations in Appendix B for multi-part compositional predictors within a zero-truncated Poisson regression count model similar to the breeding sage-grouse count model of Rice et al. (2013).
DOI: 10.6084/m9.figshare.3562902
title: Appendix A. Description of a simulation model of the effects of multiple herbivores on selection on plant defensive structures, including supplementary figures.

description: Description of a simulation model of the effects of multiple herbivores on selection on plant defensive structures, including supplementary figures.
DOI: 10.6084/m9.figshare.3562899
title: Appendix B. A mathematical proof of how selection gradients estimated with traits standardized and fitness relativized within treatments can be transformed into selection gradients estimated with traits standardized and fitness relativized across treatments.

description: A mathematical proof of how selection gradients estimated with traits standardized and fitness relativized within treatments can be transformed into selection gradients estimated with traits standardized and fitness relativized across treatments.
DOI: 10.6084/m9.figshare.3562896
title: Appendix C. Illustration that distinguishes diffuse from non-additive selection.

description: Illustration that distinguishes diffuse from non-additive selection.
DOI: 10.6084/m9.figshare.3562893
title: Supplement 1. The SAS code for the selection analyses in Case Studies 1 and 2.

description: File List Case1.sas (MD5: 8fec998d9e95527557a56268966f778e) Case2.sas (MD5:e0cb1e36b7313b9fd79e0418c76bf01a ) Description Case1.sas is the SAS code used to analyze the data presented in Case Study 1. This uses the ANCOVA approach outlined in the manuscript. Case2.sas uses an a priori contrast approach to analyze the data presented in Case Study 2.
DOI: 10.6084/m9.figshare.3562890
title: Appendix A. Geographic variation in T. californicus life history response to temperature.

description: Geographic variation in T. californicus life history response to temperature.
DOI: 10.6084/m9.figshare.3562890.v1
title: Appendix A. Geographic variation in T. californicus life history response to temperature.

description: Geographic variation in T. californicus life history response to temperature.
DOI: 10.6084/m9.figshare.3562887
title: Appendix A. Figures showing sampling locations (Fig. A1), seedling root system size as a function of age (Fig. A2), and the rank-abundance distributions of fungi (Figs. A3–A5).

description: Figures showing sampling locations (Fig. A1), seedling root system size as a function of age (Fig. A2), and the rank-abundance distributions of fungi (Figs. A3–A5).
DOI: 10.6084/m9.figshare.3562884
title: Supplement 1. Fungal taxa and their abundances.

description: File List data.txt (MD5: c59bbc959c1dd3045dd953347a84e439) Description The data.txt file is a tab-separated text file. This file contains a record for each fungal species identified by Sanger Sequencing in this study. For each record, the following information is given: Genus Name = name of fungal genus Species Name = name of fungal species GenBank Nearest Match = GenBank accession number for best match Proportionate Abundance, Field Survey = proportion of mycorrhizal field survey root tips identified as this species Proportionate Abundance, Bioassay = proportion of mycorrhizal bioassay root tips identified as this species Ectomycorrhizal Status = designation as either mycorrhizal or non-mycorrhizal based on Comandini et al. (2012) as described in methods in main text Native Status = designation as either native or non-native based on the NZFungi database, the GenBank reported location of the closest matching sequence, and lists of McKenzie et al. (2000) and Orlovich and Cairney (2004), as described in methods in main text Endemic Status = designation as either endemic or non-endemic based on the NZFungi database, the GenBank reported location of the closest matching sequence, and lists of McKenzie et al. (2000) and Orlovich and Cairney (2004), as described in methods in main text
DOI: 10.6084/m9.figshare.3562884.v1
title: Supplement 1. Fungal taxa and their abundances.

description: File List data.txt (MD5: c59bbc959c1dd3045dd953347a84e439) Description The data.txt file is a tab-separated text file. This file contains a record for each fungal species identified by Sanger Sequencing in this study. For each record, the following information is given: Genus Name = name of fungal genus Species Name = name of fungal species GenBank Nearest Match = GenBank accession number for best match Proportionate Abundance, Field Survey = proportion of mycorrhizal field survey root tips identified as this species Proportionate Abundance, Bioassay = proportion of mycorrhizal bioassay root tips identified as this species Ectomycorrhizal Status = designation as either mycorrhizal or non-mycorrhizal based on Comandini et al. (2012) as described in methods in main text Native Status = designation as either native or non-native based on the NZFungi database, the GenBank reported location of the closest matching sequence, and lists of McKenzie et al. (2000) and Orlovich and Cairney (2004), as described in methods in main text Endemic Status = designation as either endemic or non-endemic based on the NZFungi database, the GenBank reported location of the closest matching sequence, and lists of McKenzie et al. (2000) and Orlovich and Cairney (2004), as described in methods in main text
DOI: 10.6084/m9.figshare.3562881
title: Appendix A. Supplmentary table of the experiments included in the study.

description: Supplmentary table of the experiments included in the study.
DOI: 10.6084/m9.figshare.3562878
title: Appendix B. Supplementary tables of statistical analyses.

description: Supplementary tables of statistical analyses.
DOI: 10.6084/m9.figshare.3562875
title: Appendix C. Supplementary figure illustrating the relationship between stoichiometric homeostasis and nutrient concentration.

description: Supplementary figure illustrating the relationship between stoichiometric homeostasis and nutrient concentration.
DOI: 10.6084/m9.figshare.3562875.v1
title: Appendix C. Supplementary figure illustrating the relationship between stoichiometric homeostasis and nutrient concentration.

description: Supplementary figure illustrating the relationship between stoichiometric homeostasis and nutrient concentration.
DOI: 10.6084/m9.figshare.3562872
title: Appendix D. Supplementary figure of the change in dominance three species with different climate change manipulations.

description: Supplementary figure of the change in dominance three species with different climate change manipulations.
DOI: 10.6084/m9.figshare.3562872.v1
title: Appendix D. Supplementary figure of the change in dominance three species with different climate change manipulations.

description: Supplementary figure of the change in dominance three species with different climate change manipulations.
DOI: 10.6084/m9.figshare.3562869
title: Appendix E. Supplementary figure illustrating the relationship between measured and predicted foliar nitrogen.

description: Supplementary figure illustrating the relationship between measured and predicted foliar nitrogen.
DOI: 10.6084/m9.figshare.3562869.v1
title: Appendix E. Supplementary figure illustrating the relationship between measured and predicted foliar nitrogen.

description: Supplementary figure illustrating the relationship between measured and predicted foliar nitrogen.
DOI: 10.6084/m9.figshare.3562866
title: Supplement 1. Coefficients of density dependence and climate effects of per-seedling recruitment from neighboring tree densities and neighboring tree basal areas, and species abundance defined as the average sapling and tree basal areas across all plots.

description: File List coef_tree_density.csv (MD5: 6a9069df92fc2d3ddf8218be6d12225d) coef_tree_ba.csv (MD5: 27b58a0bcba4c9f86b099a65b2ded123) spp_abund.csv (MD5: 32535d875f915a9485afba20c558afb1) Description coef_tree_density.csv Coefficients of density dependence and climate effects of per-seedling recruitment from neighboring tree densities, summarized as posterior mean and 95% credible interval. <br> coef_tree_ba.csv Coefficients of density dependence and climate effects of per-seedling recruitment from neighboring tree basal areas, summarized as posterior mean and 95% credible interval. <br> spp_abund.csv Species abundance defined as the average sapling and tree basal areas (m²/ha) across all plots.