An integrated data model to estimate spatiotemporal occupancy, abundance, and colonization dynamics. Issue 2 (4th January 2017)

• Record Type: Journal Article
• Authors: Williams, Perry J.; Hooten, Mevin B.; Womble, Jamie N.; Esslinger, George G.; Bower, Michael R.; Hefley, Trevor J.
• Is Part Of: Ecology. Volume 98:Issue 2(2017)
• Page Start: 328
• Page End: 336
• Publication Date: 2017-01-04
• Subjects: ecological diffusion -- homogenization -- hurdle model -- integrated population model -- partial differential equation -- sea otters -- state‐space model -- zero‐inflated model; Ecology -- Periodicals; Ecology -- Periodicals; Écologie -- Périodiques; Ecologie; Écologie; Écologie animale; Écologie végétale; Ecology; Periodicals; 577.05
• DOI: 10.1002/ecy.1643
• Languages: English
• ISSNs: 0012-9658

Abstract

Abstract: 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.