Confronting population models with experimental microcosm data: from trajectory matching to state‐space models

Benjamin Rosenbaum , Emanuel A Fronhofer (1)

1 UMR ISEM - Institut des Sciences de l'Evolution de Montpellier

Population and community ecology traditionally has a very strong theoretical foundation with well-known dynamical models, such as the logistic and

Mots clés: Bayesian inference logistic population growth Lotka-Volterra microcosms predator-prey dynamics time series; Bayesian inference; logistic population growth; Lotka-Volterra; microcosms predator-prey dynamics; time series

Domaines: Sciences du Vivant [q-bio]

Benjamin Rosenbaum, Emanuel A Fronhofer. Confronting population models with experimental microcosm data: from trajectory matching to state‐space models. Ecosphere, 2023, 14 (4), pp.e4503. ⟨10.1002/ecs2.4503⟩. ⟨hal-04085460⟩