How to evaluate community predictions without thresholding?

Daniel Scherrer; Heidi K. Mod; Antoine Guisan

doi:10.1111/2041-210X.13312

How to evaluate community predictions without thresholding?

Daniel Scherrer, Heidi K. Mod, Antoine Guisan

Department of Geosciences and Geography

Research output: Contribution to journal › Article › Scientific › peer-review

Original language	English
Journal	Methods in Ecology and Evolution
Volume	11
Issue number	1
Pages (from-to)	51-63
Number of pages	13
ISSN	2041-210X
DOIs	https://doi.org/10.1111/2041-210X.13312
Publication status	Published - Jan 2020
MoE publication type	A1 Journal article-refereed

Fields of Science

community modelling
insects
Jaccard index
null model
plants
Sorensen index
stacked species distribution models
validation
SPECIES DISTRIBUTION MODELS
BIOTIC INTERACTIONS
RICHNESS
DISTRIBUTIONS
ASSEMBLAGES
DIVERSITY
FRAMEWORK
BIODIVERSITY
SIMILARITY
ACCURACY
1181 Ecology, evolutionary biology

Access to Document

10.1111/2041-210X.13312

Scherrer-2020-How_to_evaluate_community_predictions-(accepted_version)Accepted author manuscript, 2.75 MB

Cite this

@article{16ec2475ebc24f83b17b83192b0fbc81,

title = "How to evaluate community predictions without thresholding?",

keywords = "community modelling, insects, Jaccard index, null model, plants, Sorensen index, stacked species distribution models, validation, SPECIES DISTRIBUTION MODELS, BIOTIC INTERACTIONS, RICHNESS, DISTRIBUTIONS, ASSEMBLAGES, DIVERSITY, FRAMEWORK, BIODIVERSITY, SIMILARITY, ACCURACY, 1181 Ecology, evolutionary biology",

author = "Daniel Scherrer and Mod, {Heidi K.} and Antoine Guisan",

year = "2020",

month = jan,

doi = "10.1111/2041-210X.13312",

language = "English",

volume = "11",

pages = "51--63",

journal = "Methods in Ecology and Evolution",

issn = "2041-210X",