Viable Population Survey Data for wolverines in the Sierra Nevada, California, USA

Dataset 1. Data behind Figure 1a. Columns indicate the population size (N), density (Density), detection probability for a single animal over a single trap-day (N1dailydetectionprob), the probability of detecting one of N wolverines in a single trap-day (RNdailydetectionprob) calculated from the equation taken from Royle and Nichols [7]: RNdailydetectionprob =1-(1- N1dailydetectionprob) N, and the approximated single trap-day probability of detecting a population of wolverines at a given density (approxdailydetectionprob) based on the equation: approxdailydetectionprob =E(d/d) where E is the known daily detection probability of a reference population at density d and d is the density of the population being surveyed. The reference population in this example had a density of 0.00122 wolverines/km2 and E=0.03, corresponding to the single trap-day detection probability for 10 individuals. When E(d/d*)>1, the approximate daily detection probability was set to 1.0 since probabilities are restricted to the range 0-1.
Dataset 2. Data behind Figure 1b. Data table indicates for initial population sizes (N0) from 2-25 wolverines, the extinction (probextinct) and corresponding persistence (probpersist) probabilities of 10,000 simulations in program VORTEX assuming the demographic parameters in Appendix A.
Dataset 3. Data behind Figure 2. The columns show the probability of detecting at least one wolverine in a population inhabiting Sequoia-Kings Canyon National Parks at a given density (density) assuming 982 trap-days (detection982) or 1418 (detection1418), and the corresponding probability of failing to detect a viable population assuming 982 (vpnondetection982) or 1418 (vpnondetection1418) trap-days. A viable population here was defined as a population that persists at least 25 years.
Dataset 4. List of photographs from baited camera stations showing animals. This dataset includes a picture ID, the species observed in the picture, camera ID, Site ID, date and time recorded for each picture and any associated notes. The picture ID is a unique alphanumeric string assigned to each photo file by the camera when the picture was taken. The camera ID is a 4-digit number assigned to each camera and corresponding to the year on dates recorded on pictures taken by the camera. The date programmed into each camera was set to the correct day and month but assigned a unique year to ensure that photographs from the camera could later be tied to the correct baited camera station. Each camera ID corresponds to a single site ID. The site ID is a two letter identification assigned to each baited camera station and corresponds to the site ID listed in Table 1. The date and time for each picture taken are the day, month, and time of day recorded by the camera on the picture file.

数据集1：图1a背后的数据。列表明了种群规模（N）、密度（密度）、单个动物在单个陷阱日的检测概率（N1dailydetectionprob），以及根据Royle和Nichols[7]公式计算的单个陷阱日检测N只狼的概率（RNdailydetectionprob）：RNdailydetectionprob = 1 - (1 - N1dailydetectionprob) / N，以及基于以下公式的给定密度下狼群的单个陷阱日检测概率的近似值（approxdailydetectionprob）：approxdailydetectionprob = E(d/d)，其中E是已知参考种群在密度d的每日检测概率，d是被调查种群的密度。本例中的参考种群密度为0.00122只狼/平方公里，E=0.03，对应于10个个体的单个陷阱日检测概率。当E(d/d*)>1时，近似每日检测概率被设置为1.0，因为概率被限制在0-1的范围内。
数据集2：图1b背后的数据。数据表显示了从2到25只狼的初始种群规模（N0），在附录A中假设的种群参数下，通过VORTEX程序进行的10,000次模拟的灭绝概率（probextinct）和相应的持久概率（probpersist）。
数据集3：图2背后的数据。列显示了在给定密度下，栖息于塞奎亚-金斯峡谷国家公园的狼群至少检测到一个狼的概率（density），假设有982个陷阱日（detection982）或1418个（detection1418），以及假设982个（vpnondetection982）或1418个（vpnondetection1418）个陷阱日无法检测到可存续种群的概率。在此，可存续种群被定义为至少持续25年的种群。
数据集4：展示于诱饵相机站点的照片列表。该数据集包括图片ID、图片中观察到的物种、相机ID、站点ID、每张照片记录的日期和时间以及任何相关的备注。图片ID是相机在拍照时分配给每个照片文件的唯一字母数字字符串。相机ID是分配给每个相机的4位数，与相机上记录的图片的年份相对应。每个相机中编程的日期被设置为正确的日和月，但分配了唯一的年份，以确保相机拍摄的照片可以后来与正确的诱饵相机站相对应。每个相机ID对应一个单独的站点ID。站点ID是分配给每个诱饵相机站点的两个字母标识符，与表1中列出的站点ID相对应。每张照片拍摄的日期和时间是相机在图片文件中记录的日、月和白天时间。