10.6084/m9.figshare.3562962.v1 Jayne L. Jonas Jayne L. Jonas Deborah A. Buhl Deborah A. Buhl Amy J. Symstad Amy J. Symstad Supplement 4. Complete AICc results for three experiments at Konza Prairie LTER site (Manhattan, KS, USA). Wiley 2016 fire frequency temperature seasonal burning interannual variability Shannon diversity grazing tallgrass prairie mixed-grass prairie shortgrass prairie time series precipitation nitrogen fertilization Environmental Science Ecology 2016-08-10 10:20:42 Dataset https://wiley.figshare.com/articles/dataset/Supplement_4_Complete_AICc_results_for_three_experiments_at_Konza_Prairie_LTER_site_Manhattan_KS_USA_/3562962 <h2>File List</h2><div> <p><a href="Supplement4.csv">Supplement4.csv</a> (MD5: 9c2a02597ef066d593745194c0a92bb0) </p> </div><h2>Description</h2><div> <p>Model selection results from analysis of the relationship between a priori 1- and 2-variable weather models and total species (A) richness and (B) Shannon diversity in each fire frequency treatment (Experiment = FRI, 1984–2011, <i>N</i> = 28), grazing treatment (Experiment = Graze, 1994–2011, <i>N</i> = 18), and season of burn treatment (Experiment = SB, 1994–2011, <i>N</i> = 18) at Konza Prairie LTER. <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 are as follows: 1 = annually burned, 4 = burned once every 4 years, 20 = burned once every 20 years, GR = bison grazed, UG = ungrazed, FAL = fall-burned, WIN = winter-burned, SPR = spring-burned, SUM = summer burned. 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 < 2 and <i>R</i>² > 0.30. Model # corresponds to a priori models as described in <a href="appendix-B.php">Appendix B</a>.</p> </div>