Department of Fish, Wildlife, and Conservation Biology, Colorado Cooperative Fish and Wildlife Research Unit, Colorado State University, Fort Collins, Colorado, 80523, USA.
Department of Statistics, Colorado State University, Fort Collins, Colorado, 80523, USA.
Ecology. 2017 Feb;98(2):328-336. doi: 10.1002/ecy.1643. Epub 2017 Jan 4.
Ecological invasions and colonizations occur dynamically through space and time. Estimating the distribution and abundance of colonizing species is critical for efficient management or conservation. We describe a statistical framework for simultaneously estimating spatiotemporal occupancy and abundance dynamics of a colonizing species. Our method accounts for several issues that are common when modeling spatiotemporal ecological data including multiple levels of detection probability, multiple data sources, and computational limitations that occur when making fine-scale inference over a large spatiotemporal domain. We apply the model to estimate the colonization dynamics of sea otters (Enhydra lutris) in Glacier Bay, in southeastern Alaska.
生态入侵和殖民化是通过时空动态发生的。估计殖民物种的分布和丰度对于有效的管理或保护至关重要。我们描述了一种统计框架，用于同时估计殖民物种的时空占有和丰度动态。我们的方法考虑了在对大时空域进行精细推断时常见的几种问题，包括多个检测概率水平、多个数据源以及计算限制。我们应用该模型来估计阿拉斯加东南部冰川湾的海獭（Enhydra lutris）的殖民动态。
