J. Stevens, Carly M. Lind, Eric Hautier, Yann Stanley Harpole, W. T. Borer, Elizabeth Hobbie, Sarah W. Seabloom, Eric Ladwig, Laura D. Bakker, Jonathan Chu, Chengjin Collins, Scott F. Davies, Kendi Firn, Jennifer Hillebrand, Helmut La Pierre, Kimberly J. MacDougall, Andrew Melbourne, Brett L. McCulley, Rebecca Morgan, John L. Orrock, John M. Prober, Suzanne C. Risch, Anita Schuetz, Martin Wragg, Peter D. Supplement 1. R script used to implement the hierarchical model used in analysis of the relationship between grassland primary productivity and potential driver variables. <h2>File List</h2><div> <p><a href="R_code.txt">R_code.txt</a> (MD5: b098d58a19eb2994276fc868c14660e7) </p> </div><h2>Description</h2><div> <p>R script used to implement the hierarchical model used in analysis of the relationship between grassland primary productivity and potential driver variables in the paper ‘Anthropogenic nitrogen deposition predicts local grassland primary production worldwide’. A full description of the hierarchical model is given in <a href="appendix-A.php">Appendix A</a>. The hierarchical model predicting plot-level aboveground biomass was constructed by combining plot-level and site-level predictors as follows. The natural log of the live biomass harvested at peak standing crop (an estimate of aboveground annual productivity) was the response variable. The following code was run in R v3.0.2 and JAGS 3.1.0 using R2Jags 0.03-11.</p> </div> primary production;Anthropocene;Bayesian analysis;nitrogen deposition;Nutrient Network;hierarchical regression;Environmental Science;Ecology 2016-08-10
    https://wiley.figshare.com/articles/dataset/Supplement_1_R_script_used_to_implement_the_hierarchical_model_used_in_analysis_of_the_relationship_between_grassland_primary_productivity_and_potential_driver_variables_/3562233
10.6084/m9.figshare.3562233.v1