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Fauxcurrence: simulating multi‐species occurrences for null models in species distribution modelling and biogeography
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/ece3.2657openalex-snapshot
Effects of biotic interactions on modeled species' distribution can be masked by environmental gradients
inferredcites →https://doi.org/10.1002/joc.1276openalex-snapshot
Very high resolution interpolated climate surfaces for global land areas
inferredcites →https://doi.org/10.1016/j.ecolmodel.2005.03.026openalex-snapshot
Maximum entropy modeling of species geographic distributions
inferredcites →https://doi.org/10.1073/pnas.0803506105openalex-snapshot
Opening the climate envelope reveals no macroscale associations with climate in European birds
inferredcites →https://doi.org/10.1086/491688openalex-snapshot
Clustering of Contact Zones, Hybrid Zones, and Phylogeographic Breaks in North America
inferredcites →https://doi.org/10.1111/2041-210x.12180openalex-snapshot
Understanding co‐occurrence by modelling species simultaneously with a Joint Species Distribution Model ( JSDM )
inferredcites →https://doi.org/10.1111/ecog.05134openalex-snapshot
Disentangling drivers of spatial autocorrelation in species distribution models
inferredcites →https://doi.org/10.1111/geb.12003openalex-snapshot
Niche incumbency, dispersal limitation and climate shape geographical distributions in a species‐rich island adaptive radiation
inferredcites →https://doi.org/10.1111/geb.12684openalex-snapshot
Paintings predict the distribution of species, or the challenge of selecting environmental predictors and evaluation statistics
inferredcites →https://doi.org/10.1111/geb.12818openalex-snapshot
Spatial autocorrelation inflates niche breadth–range size relationships
inferredcites →https://doi.org/10.1111/j.1466-8238.2007.00331.xopenalex-snapshot
Can niche‐based distribution models outperform spatial interpolation?
inferredcites →https://doi.org/10.1111/j.1466-8238.2010.00561.xopenalex-snapshot
Weak climatic associations among British plant distributions
inferredcites →https://doi.org/10.1111/j.1558-5646.2008.00482.xopenalex-snapshot
ENVIRONMENTAL NICHE EQUIVALENCY VERSUS CONSERVATISM: QUANTITATIVE APPROACHES TO NICHE EVOLUTION
inferredcites →https://doi.org/10.1111/j.1558-5646.2010.01177.xopenalex-snapshot
TESTING ECOLOGICAL EXPLANATIONS FOR BIOGEOGRAPHIC BOUNDARIES
inferredcites →https://doi.org/10.1111/j.1600-0587.2012.07191.xopenalex-snapshot
Improving species distribution models using biotic interactions: a case study of parasites, pollinators and plants
inferredcites →https://doi.org/10.1111/j.2007.0906-7590.05041.xopenalex-snapshot
A null‐model for significance testing of presence‐only species distribution models
inferredcites →https://doi.org/10.1111/jbi.12910openalex-snapshot
A null biogeographical test for assessing ecological niche evolution
inferredcites →https://doi.org/10.1111/jbi.13573openalex-snapshot
A new null model approach to quantify performance and significance for ecological niche models of species distributions
inferredcites →https://doi.org/10.1214/aoms/1177729694openalex-snapshot
On Information and Sufficiency
inferredcites →https://doi.org/10.1890/07-2153.1openalex-snapshot
Sample selection bias and presence‐only distribution models: implications for background and pseudo‐absence data
inferredcites →https://doi.org/10.2307/1935534openalex-snapshot
The Anolis Lizards of Bimini: Resource Partitioning in a Complex Fauna
inferredcites →https://doi.org/10.5061/dryad.gtht76hp8openalex-snapshot
Data from: Fauxcurrence: simulating multi-species occurrences for null models in species distribution modelling and biogeography
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Small to train, small to test: Dealing with low sample size in model evaluation
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When data are scarce and ranges are small: modelling trade-offs in fine-scale insular species distributions
inferred← citeshttps://doi.org/10.1101/2022.08.08.503252openalex-snapshot
Incorporating sampling bias into permutation tests for niche and distribution models
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How to scale up from animal movement decisions to spatiotemporal patterns: An approach via step selection
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Citizen science data reveal altitudinal movement and seasonal ecosystem use by hummingbirds in the Andes Mountains
inferred← citeshttps://doi.org/10.1111/ecog.07289openalex-snapshot
Randomising spatial patterns supports the integration of intraspecific variation in ecological niche models
inferred← citeshttps://doi.org/10.1111/geb.13453openalex-snapshot
Biotic factors limit the invasion of the plague pathogen (Yersinia pestis) in novel geographical settings
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Scale mismatches between predictor and response variables in species distribution modelling: A review of practices for appropriate grain selection
inferred← citeshttps://doi.org/10.1371/journal.pcbi.1012731openalex-snapshot
Ten quick tips to build a Model Life Cycle
inferred← citeshttps://doi.org/10.2139/ssrn.5579875openalex-snapshot
Overcoming Geographical Data Challenges for Fine-Scale Species Distribution Models: Insights from Range-Restricted Insular Plants
inferred← citeshttps://doi.org/10.24072/pcjournal.589openalex-snapshot
A Julia toolkit for species distribution data
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Ten Simple Rules to build a Model Life Cycle
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