Assessing spatial covariance among time series of abundance.

ABSTRACT: For species of conservation concern, an essential part of the recovery planning process is identifying discrete population units and their location with respect to one another. A common feature among geographically proximate populations is that the number of organisms tends to covary through time as a consequence of similar responses to exogenous influences. In turn, high covariation among populations can threaten the persistence of the larger metapopulation. Historically, explorations of the covariance in population size of species with many (>10) time series have been computationally difficult. Here, we illustrate how dynamic factor analysis (DFA) can be used to characterize diversity among time series of population abundances and the degree to which all populations can be represented by

SUBMITTER: Jorgensen JC 

PROVIDER: S-EPMC4789304 | biostudies-literature | 2016 Apr

REPOSITORIES: biostudies-literature