Predation and fragmentation portrayed in the statistical structure of prey time series.

ABSTRACT:

Background

Statistical autoregressive analyses of direct and delayed density dependence are widespread in ecological research. The models suggest that changes in ecological factors affecting density dependence, like predation and landscape heterogeneity are directly portrayed in the first and second order autoregressive parameters, and the models are therefore used to decipher complex biological patterns. However, independent tests of model predictions are complicated by the inherent variability of natural populations, where differences in landscape structure, climate or species composition prevent controlled repeated analyses. To circumvent this problem, we applied second-order autoregressive time series analyses to data generated by a realistic agent-based computer model. The mod

SUBMITTER: Hendrichsen DK 

PROVIDER: S-EPMC2689204 | biostudies-literature | 2009 May

REPOSITORIES: biostudies-literature