Dataset: Spatiotemporal overlap with invasive wild pigs (Sus scrofa) varies by species and season in a temperate ecosystem

Count and detection data by season for 10 vertebrate species in a temperate ecosystem of South Carolina, USA. Count data were used in N-mixture analyses following the parameterization of Royle (2004), with the relative importance of various sampling occasion and site-specific characteristics examined in an AIC model selection framework. Detection data were used to examine diel activity overlap between wild pigs and other species following the kernel density method developed by Ridout and Linkie (2009). We collected the species data with wildlife cameras in the year 2020 using a grid sampling design. Our winter, spring, summer, and fall survey periods were the first two weeks in February, May, August, and November, respectively. More detailed information may be found in Saldo et al. 2023.

本数据集涵盖美国南卡罗来纳州温带生态系统中10种脊椎动物的分季节计数与检测数据。计数数据采用遵循Royle(2004)参数化方案的N混合模型（N-mixture）分析方法进行处理，并通过AIC（赤池信息准则）模型选择框架，检验了各类采样时段与样点特异性特征的相对重要性。检测数据则依托Ridout与Linkie(2009)提出的核密度估计方法，用于探究野猪与其他物种间的昼夜活动重叠模式。本研究于2020年采用网格采样设计，通过野生动物相机完成物种观测数据的采集工作。本次调查的冬、春、夏、秋季时段分别为2020年2月、5月、8月及11月的前两周。更多详细研究细节可参阅Saldo等人2023年的发表成果。