Replication Data and statistical analyses for: Implications of the existence of different sexual forms on the interaction with arbuscular mycorrhizal fungi in a dioecious population of Opuntia robusta Wendl. (Cactaceae)

We analyzed the soil nutrients from different sexual forms in two population of Opuntia robusta in Central Mexico (dioescious and trioecious) using Generalized Linear Models (GLM) in R (R Core Team 2020). For calcium we used Gaussian error distribution and identity link function. For nitrogen, phosphorus and potassium, we used gamma error distribution and identity link function. The model included as the response variable each soil nutrient and as explicative variables, the plant sexual form. Assumptions of the homoscedasticity, proper distribution used, independence, were verified following the recommendations of Zuur et al. (2010). We presented here the results of these models together with the data obtained by Janczur and Martínez Estrella (2020) LITERATURE CITED R Core Team. 2020. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/. Janczur, M.K. & Martínez Estrella, D. (2020). Replication Data for: Implications of the existence of different sexual forms on the interaction with arbuscular mycorrhizal fungi in a dioecious population of Opuntia robusta Wendl. (Cactaceae). (ed. Janczur, MK). Harvard Dataverse. Zuur, AF, Ieno, EN, and Elphick, CS. 2010. A protocol for data exploration to avoid common statistical problems. Methods in Ecology and Evolution 1:3-14.