Data for: "Dynamic species distribution modeling reveals the pivotal role of human-mediated long-distance dispersal in plant invasion"

Christophe Botella

doi:10.5281/zenodo.6331675

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Data for: "Dynamic species distribution modeling reveals the pivotal role of human-mediated long-distance dispersal in plant invasion"

Christophe Botella

Zenodo

06/03/2022

DOI: https://doi.org/10.5281/zenodo.6331675

Résumé

Bayesian inference

Biological invasions

citizen-science

human-mediated dispersal

long-distance dispersal

matrix population models

Population dynamics

presence only data

species distribution models

All the data needed to reproduce the results and Figures of our article: Botella, C., Bonnet, P., Hui, C., Joly, A., & Richardson, D. M. (2022). Dynamic Species Distribution Modeling Reveals the Pivotal Role of Human-Mediated Long-Distance Dispersal in Plant Invasion. Biology, 11(9), 1293. https://doi.org/10.3390/biology11091293 Please, find the R scripts and guidelines to reproduce our results on the article's Github repository : https://github.com/ChrisBotella/plectranthus_barbatus/tree/main

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Titre: Data for: "Dynamic species distribution modeling reveals the pivotal role of human-mediated long-distance dispersal in plant invasion"
Créateurs - sans rôle: Christophe Botella - Center for Invasion Biology, Stellenbosch University, Stellenbosch, South Africa
Éditeur: Zenodo
Identifiants: 99156754309311
Unité académique: Laboratoire d'Informatique de Robotique et de Microélectronique de Mtp - LIRMM
Langue: English
Type de ressource: Dataset