Enhanced inference of ecological networks by parameterizing ensembles of population dynamics models constrained with prior knowledge.

Affiliation

Program for Computational and Systems Biology, Memorial Sloan-Kettering Cancer Center, New York, NY, USA. [Email]

Abstract

Accurate network models of species interaction could be used to predict population dynamics and be applied to manage real world ecosystems. Most relevant models are nonlinear, however, and data available from real world ecosystems are too noisy and sparsely sampled for common inference approaches. Here we improved the inference of generalized Lotka-Volterra (gLV) ecological networks by using a new optimization algorithm to constrain parameter signs with prior knowledge and a perturbation-based ensemble method.

Keywords

Ecological network inference,Ensemble method,Illinois River,Invasive species,Lotka–Volterra model,Summary food web,Time-series data,

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