Uncertainty quantification of the effects of biotic interactions on community dynamics from nonlinear time-series data.

ABSTRACT: Biotic interactions are expected to play a major role in shaping the dynamics of ecological systems. Yet, quantifying the effects of biotic interactions has been challenging due to a lack of appropriate methods to extract accurate measurements of interaction parameters from experimental data. One of the main limitations of existing methods is that the parameters inferred from noisy, sparsely sampled, nonlinear data are seldom uniquely identifiable. That is, many different parameters can be compatible with the same dataset and can generalize to independent data equally well. Hence, it is difficult to justify conclusive assertions about the effect of biotic interactions without information about their associated uncertainty. Here, we develop an ensemble method based on model averaging to qua

SUBMITTER: Cenci S 

PROVIDER: S-EPMC6228481 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature