# This is "README.txt" file describing the files associated with the following # publication: # Fraser, L.H., Pither, J., Jentsch, A., Sternberg, M., Zobel, M., and the # HerbDivNet # global network. 2015. Worldwide evidence of a unimodal # relationship between productivity and plant species richness. Science. # P.I.: Lauchlan Fraser (Thompson Rivers University) (lfraser@tru.ca) # Script author: Jason Pither (University of British Columbia, Okanagan campus) # (jason.pither@ubc.ca) # -------- Data files: 1. fraser_plotdata.csv - this is the single data file associated with the Fraser et al. publication Description of columns within CSV file: "grid" - unique numeric identifier for each 8x8m sample grid "original.name" - arbitrary name provided to each grid "community.type"- the category of grassland type; description available in Table S1. "country" - country within which sampling took place "pi" - name of the Principal Investigator responsible for the given data "plot" - the identity of the individual sample quadrat; codes are described in Fraser et al. (2014) J. Veg. Sci. 25:1160-1166. "biomass" - live biomass (grams per square metre) "litter" - litter biomass (grams per square metre) "tot.bio" - sum of live + litter biomass (grams per square metre) "sr" - number of unique species within the sample quadrat "Sp1" through "Sp149" - presence (1) or absence (0) of a taxon within the given qaudrat - NOTE: species codes (e.g. "Sp3") are only consistent within a given "pi"; taxonomy has not yet been harmonized across study sites # -------- R script files: 1. Table_1_analyses_FigS1.R - this includes code for all of the global-extent analyses of the productivity-richness relationship, and all regression analyses whose results are reported in Table 1 - it also includes the code associated with Fig. S1, which shows the negative binomial and mixed-model negative binomial results 2. within_site_GLMs_Fig2A_TableS2.R - this includes code for all the within-site extent analyses of the P-R relationship 3. varied_grain_analyses_FigS2.R - this includes code for the grain-sensitivity analyses 4. max_richness_FigS4.R - this includes code for the quantile regression of the relationship between maximum quadrat richness (within a grid) and biomass 5. HBmodels_FigS3.R - this includes code for the hierarchical Bayesian models of the global-extent P-R relationship, boundary relationship 6. within_site_GLMs_reduced_data_Figs_S5_2B_S6.R - this includes code for the sensitivity analysis exploring how using datasets that have properties similar to those in Adler et al. affects the outcomes