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Sampling bias in presence-only data used for species distribution modelling: theory and methods for detecting sample bias and its effects on models Cover

Sampling bias in presence-only data used for species distribution modelling: theory and methods for detecting sample bias and its effects on models

Sommerfeltia
Volume 38 (2018): Issue 1 (October 2018)
By: Bente Støa,  Rune Halvorsen,  Sabrina Mazzoni and  Vladimir I. Gusarov  
Open Access
|Oct 2018
Authors

Authors

Bente Støa

bente.stoa@nhm.uio.no

Natural History Museum, University of Oslo, Oslo, Norway

Rune Halvorsen

Natural History Museum, University of Oslo, Oslo, Norway

Sabrina Mazzoni

Natural History Museum, University of Oslo, Oslo, Norway

Vladimir I. Gusarov

Natural History Museum, University of Oslo, Oslo, Norway
DOI: https://doi.org/10.2478/som-2018-0001 | Journal eISSN: 2084-0098 | Journal ISSN: 0800-6865
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Language: English
Page range: 1 - 53
Published on: Oct 29, 2018
Published by: University of Oslo
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
Background target group,
frequency of presence,
gradient analysis,
MaxEnt model complexity,
sampling bias,
species distribution modelling,
species response curves
Related subjects:
Life sciences,
Plant science,
Ecology,
Life sciences, other

© 2018 Bente Støa, Rune Halvorsen, Sabrina Mazzoni, Vladimir I. Gusarov, published by University of Oslo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Volume 38 (2018): Issue 1 (October 2018)