Cited by 16Species Distribution and Climate ChangeEcology and Vegetation Dynamics StudiesAnimal Ecology and Behavior Studies

Cartogramming uncertainty in species distribution models: A Bayesian approach

Rocchini, Duccio, Marcantonio, Matteo, Arhonditsis, George, Cacciato, Alessandro Lo, Hauffe, Heidi C., He, Kate S.·2019·Ecological Complexity

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Crossref · 10.1016/j.ecocom.2019.04.002

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64 of 64 references verified0 citation errors · 0 not checkable

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  • There is still much uncertainty in predictions of which species will colonize new regions and habitats and what their impacts will be.

    “Despite intensive research directed at modelling potential changes in the distribution of terrestrial, freshwater, and marine species owing to climate and land‐use change, there is still much uncertainty in predictions of which species will colonize new regions and habitats and what their impacts will be (Elith, 2017; Capinha et al., 2018; Rocchini et al., 2019).”

    From Scientists' warning on invasive alien species (2020) · cites this paper as Rocchini et al., 2019

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Authors
Rocchini, D., Marcantonio, M., Arhonditsis, G., Cacciato, A. L., Hauffe, H. C., & He, K. S.
Affiliations
  • Fondazione Edmund Mach (IT)
  • University of California, Davis (US)
  • University of Toronto (CA)
  • University of Bologna (IT)
  • Murray State University (US)
Corresponding author
Rocchini, Duccio
Venue
Ecological Complexity
Publisher
Elsevier BV
Published
2019-04
Volume
38
Pages
146-155
ISSN
1476-945X (ISSN-L)
OpenAlex
W2945675178
Cited by
16
References
66
Citations by year
2026: 1 · 2025: 3 · 2024: 3 · 2023: 2 · 2022: 2 · 2021: 4 · 2020: 1
FWCI
2.64
Type
journal article
Language
en
Open access
closed
Locations
  • Ecological Complexity (publishedVersion)
  • Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) (submittedVersion)
  • Institutional Research Information System (Università degli Studi di Trento) (submittedVersion)
  • CINECA IRIS Institutional Research Information System (Fondazione Edmund Mach) (submittedVersion)
Funders
Horizon 2020 Framework Programme
Topics
  • Physical Sciences › Environmental Science › Ecological Modeling › Species Distribution and Climate Change
  • Physical Sciences › Environmental Science › Nature and Landscape Conservation › Ecology and Vegetation Dynamics Studies
  • Physical Sciences › Environmental Science › Ecology › Animal Ecology and Behavior Studies
Keywords
species distribution modeling, uncertainty visualization, cartograms, Bayesian analysis, invasive species, potential distribution, presence-absence data, biodiversity monitoring, conservation planning

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