ModelSel_BRCR_2013_DynamicAll

AIC model selection table and associated coefficients for brown creeper 2013 for all models combined. Column names for the model coefficients use the following notation: coefficient = parameter(covariate) and standard error = SEparameter(covariate). Parameter abbreviations are p = detection probability, psi = initial occupancy, col = colonization/settlement, ext = extinction/vacancy. Parameter(Int) refers to the intercept. ‘nPars’ is the number of parameters estimated in the model. Each model is ranked by its AIC score, which represents how well the model fits the data. A lower ∆AIC (delta) value is indicative of a better model. The probability that the model (of the models tested) would best explain the data is indicated by AICwt.本数据集包含2013年棕旋木雀（Brown Creeper）所有组合模型的赤池信息准则（Akaike Information Criterion，AIC）模型选择表及对应系数。模型系数的列名采用如下标注规则：系数表示为「系数 = 参数(协变量)」，标准误表示为「SE参数(协变量)」。参数缩写规则为：p代表检测概率（detection probability），ψ（psi）代表初始占用率（initial occupancy），col代表定植/定居（colonization/settlement），ext代表灭绝/位点空置（extinction/vacancy）。Parameter(Int)指代截距项（intercept）。「nPars」表示模型中被估计的参数数量。所有模型均按照AIC得分进行排序，该得分用于衡量模型对数据的拟合程度。ΔAIC（delta AIC）值越低，代表模型拟合效果越好。在所检验的全部模型中，某一模型对数据的最优解释概率由AIC权重（AICwt）体现。