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

Journal article

Open access

Peer reviewed

Benjamin Rosenbaum and Emanuel A Fronhofer

Ecosphere, Vol.14(4)

04/2023

Abstract

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

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

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https://doi.org/10.1002/ecs2.4503View

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Title: Confronting population models with experimental microcosm data: from trajectory matching to state‐space models
Creators - without role: Benjamin Rosenbaum - German Centre for Integrative Biodiversity Research
Emanuel A Fronhofer - Université de Montpellier, Institut des Sciences de l'Evolution - Montpellier - ISEM
Publication Details: Ecosphere, Vol.14(4)
Identifiers: 9946865209311
Academic Unit: Institut des Sciences de l'Evolution - Montpellier - ISEM
Language: English
Resource Type: Journal article
Local Fields: hal-04085460