Relative abundance of sea urchin GLM results of the best model fit. Results of models fit a relative abundance response variable (sea urchin) using simple (<i>m</i>) and multiple (<i>M</i>) regression models by zone, where the covariables are year factor (<i>a</i>_<i>j</i>), month (<i>m</i>_<i>k</i>) depth (<i>d</i>_<i>m</i>) and rock lobster size (<i>s</i>_<i>n</i>). AIC corresponds to Akaike information criteria and df to degrees of freedom. Bold and italic indicate the best model fit for each level.

Relative abundance of sea urchin GLM results of the best model fit. Results of models fit a relative abundance response variable (sea urchin) using simple (m) and multiple (M) regression models by zone, where the covariables are year factor (aj), month (mk) depth (dm) and rock lobster size (sn). AIC corresponds to Akaike information criteria and df to degrees of freedom. Bold and italic indicate the best model fit for each level.基于广义线性模型（Generalized Linear Model, GLM）得到的海胆相对丰度最优拟合结果。本研究按区域分别采用简单（m）与多元（M）回归模型，对海胆相对丰度这一响应变量进行拟合，所选协变量包括年份因子（aj）、月份（mk）、水深（dm）以及岩龙虾体型（sn）。其中，AIC代表赤池信息准则，df代表自由度。文本中以粗斜体标注了各分组下的最优拟合模型。