Predictors related to the probability of an observation being a ‘start-of-haulout’ observation.

Predictors of the probability of an observation being a ‘start-of-haulout’ observation were assessed compared to predictors consistent with ‘middle-of-haulout’ observations. Odds ratios are the relative odds of a seal being hauled out for one value of the covariate vs. another value [47]. Numbers in parentheses for vessel predictors are numbers of vessels.1Precipitation, sky condition, and cloud cover are strongly related; results are for each variable singly.2The odds ratio for precipitation is for ‘some’ relative to ‘none’.3The odds ratios for sky conditions (‘Partly Cloudy’, ‘Overcast’, and ‘Foggy’) are relative to ‘Clear’.4The odds ratio for Cloud Cover is the change for a 1% increase in cloud cover.5Results for binary vessel predictors (i.e., absence/presence); results for the binary vessel variables are easier to interpret, but show similar patterns to the continuous vessel predictor models. Odds ratios for vessel predictors are the odds of a ‘start’ observation when a vessel is present, relative to when no vessel is present.Predictors related to the probability of an observation being a ‘start-of-haulout’ observation.本研究针对观测样本为「上岸起始观测（start-of-haulout observation）」的概率影响因素开展评估，并与符合「上岸中期观测（middle-of-haulout observation）」特征的影响因素进行对比。优势比（odds ratios）指协变量（covariate）取某一取值时，海豹被观测到上岸停留的相对优势，相较于该协变量取另一取值时的比值[47]。1. 船舶相关影响因素的括号内标注数字为涉及的船舶总数量。2. 降水量、天空状况与云量三者相关性较强，本研究结果均针对各变量单独分析得到。3. 降水的优势比为「有少量降水」相对于「无降水」时的比值。4. 天空状况的优势比（涵盖「晴间多云」「阴」「雾天」三类）均以「晴」作为参照基准。5. 云量的优势比对应云量每提升1%时的优势变化量。6. 二元船舶影响因素（即「无船舶/有船舶」二分类变量）的结果更易于解读，且其变化趋势与连续型船舶影响因素模型的结果基本一致。船舶相关影响因素的优势比，指存在船舶时观测为「上岸起始观测」的优势，相较于无船舶存在时的比值。以下为与「上岸起始观测」概率相关的影响因素。