An integrated, spatio-temporal modelling framework for analysing biological invasions

Aim: We develop a novel modelling framework for analysing the spatio-temporal spread of biological invasions. The framework integrates different invasion drivers and disentangles their roles in determining observed invasion patterns by fitting models to historical distribution data. As a case study...

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Veröffentlicht in:	Diversity & distributions 2018-05, Vol.24 (5/6), p.652-665
Hauptverfasser:	Mang, Thomas, Dullinger, Stefan, Essl, Franz, Moser, Dietmar, Kleinbauer, Ingrid
Format:	Artikel
Sprache:	eng
Schlagworte:	alien species Ambrosia artemisiifolia Bayesian analysis Bayesian inference BIODIVERSITY RESEARCH biological invasion Case studies Colonization common ragweed Complexity Computer simulation Data processing Dispersal Dispersion Environment models Environmental conditions Environmental effects Filtration Invasions Landscape Markov chains Mathematical models MCMC Parameter estimation propagule pressure spatio‐temporal modelling spread Statistical inference
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