Results of the generalised linear models (negative binomial error distribution and logarithmic link function) used to predict red deer, fallow deer and cattle abundance on a spatial scale in Doñana National Park.

Coefficients are shown for the most parsimonious models according to AIC. Measures for model support and statistical parameters (test and p-values) for the variables selected in the final models can be found in S1 Table. Variable codes are described in Table 1.
1LT1 and LT4 were corrected by detection coefficients, 0.538 and 0.359, respectively. 2Reference value of the parameter estimator was 0 for “cattle management area 1 (MA1)”. MA from 2 to 5 codify for the location of each sampling unit in each management area (1 when present and 0 when absence).
Results of the generalised linear models (negative binomial error distribution and logarithmic link function) used to predict red deer, fallow deer and cattle abundance on a spatial scale in Doñana National Park.

基于赤池信息准则（Akaike Information Criterion, AIC）筛选出的最精简模型的系数已列出。最终模型中所选变量的模型支持度指标与统计参数（检验值及p值）详见附表S1。变量编码说明详见表1。
注1：LT1与LT4已分别通过检测系数0.538和0.359完成校正。
注2："牛群管理区1（MA1）"的参数估计参考值为0。MA2至MA5用于编码各采样单元在对应管理区中的分布状态：存在时赋值为1，缺失时赋值为0。
用于多尼亚纳国家公园内马鹿、黇鹿及牛群种群丰度空间尺度预测的广义线性模型（负二项误差分布与对数连接函数）的分析结果如下。