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https://doi.org/10.2139/ssrn.4683760

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inferredcites →https://doi.org/10.1002/ece3.6786openalex-extracted
SDMtune: An R package to tune and evaluate species distribution models
inferredcites →https://doi.org/10.1002/ecm.1486openalex-extracted
Predictive performance of presence‐only species distribution models: a benchmark study with reproducible code
inferredcites →https://doi.org/10.1002/joc.1276openalex-extracted
Very high resolution interpolated climate surfaces for global land areas
inferredcites →https://doi.org/10.1002/joc.6205openalex-extracted
How well do climate models simulate regional atmospheric circulation over East Asia?
inferredcites →https://doi.org/10.1007/s00382-014-2418-8openalex-extracted
Selecting CMIP5 GCMs for downscaling over multiple regions
inferredcites →https://doi.org/10.1016/j.ecolmodel.2020.109180openalex-extracted
Dealing with overprediction in species distribution models: How adding distance constraints can improve model accuracy
inferredcites →https://doi.org/10.1016/j.mex.2019.09.035openalex-extracted
The use of classification and regression algorithms using the random forests method with presence-only data to model species’ distribution
inferredcites →https://doi.org/10.1016/j.scitotenv.2023.169501openalex-extracted
Incorporating eco-evolutionary information into species distribution models provides comprehensive predictions of species range shifts under climate change
inferredcites →https://doi.org/10.1038/sdata.2018.40openalex-extracted
A suite of global, cross-scale topographic variables for environmental and biodiversity modeling
inferredcites →https://doi.org/10.1080/13658816.2020.1798968openalex-extracted
Common mistakes in ecological niche models
inferredcites →https://doi.org/10.1093/bioinformatics/btm538openalex-extracted
GEIGER: investigating evolutionary radiations
inferredcites →https://doi.org/10.1093/bioinformatics/btu477openalex-extracted
RidgeRace: ridge regression for continuous ancestral character estimation on phylogenetic trees
inferredcites →https://doi.org/10.1093/sysbio/syab016openalex-extracted
A New Method for Integrating Ecological Niche Modeling with Phylogenetics to Estimate Ancestral Distributions
inferredcites →https://doi.org/10.1093/ve/vey016openalex-extracted
Bayesian phylogenetic and phylodynamic data integration using BEAST 1.10
inferredcites →https://doi.org/10.1098/rsbl.2008.0254openalex-extracted
Predicting current and future biological invasions: both native and invaded ranges matter
inferredcites →https://doi.org/10.1111/1749-4877.12581openalex-extracted
Linking the past and present to predict the distribution of Asian crested ibis (Nipponia nippon) under global changes
inferredcites →https://doi.org/10.1111/2041-210x.12832openalex-extracted
Using data from related species to overcome spatial sampling bias and associated limitations in ecological niche modelling
inferredcites →https://doi.org/10.1111/2041-210x.12954openalex-extracted
A new method for testing evolutionary rate variation and shifts in phenotypic evolution
inferredcites →https://doi.org/10.1111/cla.12514openalex-extracted
Hyb‐Seq provides new insights into the phylogeny and evolution of the Chrysanthemum zawadskii species complex in China
inferredcites →https://doi.org/10.1111/ecog.01132openalex-extracted
spThin: an R package for spatial thinning of species occurrence records for use in ecological niche models
inferredcites →https://doi.org/10.1111/ecog.02880openalex-extracted
ENVIREM: an expanded set of bioclimatic and topographic variables increases flexibility and improves performance of ecological niche modeling
inferredcites →https://doi.org/10.1111/ecog.02881openalex-extracted
Cross‐validation strategies for data with temporal, spatial, hierarchical, or phylogenetic structure
inferredcites →https://doi.org/10.1111/ecog.04890openalex-extracted
Testing whether ensemble modelling is advantageous for maximising predictive performance of species distribution models
inferredcites →https://doi.org/10.1111/ecog.05485openalex-extracted
ENMTools 1.0: an R package for comparative ecological biogeography
inferredcites →https://doi.org/10.1111/geb.12050openalex-extracted
Niche conservatism in non‐native birds in E urope: niche unfilling rather than niche expansion
inferredcites →https://doi.org/10.1111/geb.12344openalex-extracted
Extending spatial modelling of climate change responses beyond the realized niche: estimating, and accommodating, physiological limits and adaptive evolution
inferredcites →https://doi.org/10.1111/geb.12580openalex-extracted
Combining phylogeny and co‐occurrence to improve single species distribution models
inferredcites →https://doi.org/10.1111/geb.12979openalex-extracted
Oscillayers: A dataset for the study of climatic oscillations over Plio‐Pleistocene time‐scales at high spatial‐temporal resolution
inferredcites →https://doi.org/10.1111/j.1365-2656.2008.01390.xopenalex-extracted
A working guide to boosted regression trees
inferredcites →https://doi.org/10.1111/j.1365-2699.2006.01584.xopenalex-extracted
Five (or so) challenges for species distribution modelling
inferredcites →https://doi.org/10.1111/j.1365-294x.2008.04042.xopenalex-extracted
Inferring the past to predict the future: climate modelling predictions and phylogeography for the freshwater gastropod Radix balthica (Pulmonata, Basommatophora)
inferredcites →https://doi.org/10.1111/j.1466-8238.2009.00476.xopenalex-extracted
Predicting the past distribution of species climatic niches
inferredcites →https://doi.org/10.1111/j.1466-8238.2012.00767.xopenalex-extracted
Building the niche through time: using 13,000 years of data to predict the effects of climate change on three tree species in Europe
inferredcites →https://doi.org/10.1111/j.2041-210x.2011.00169.xopenalex-extracted
phytools: an R package for phylogenetic comparative biology (and other things)
inferredcites →https://doi.org/10.1111/j.2041-210x.2011.00172.xopenalex-extracted
Selecting pseudo‐absences for species distribution models: how, where and how many?
inferredcites →https://doi.org/10.1111/jbi.12058openalex-extracted
Selecting thresholds for the prediction of species occurrence with presence‐only data
inferredcites →https://doi.org/10.1111/jbi.14009openalex-extracted
Intraspecific differentiation: Implications for niche and distribution modelling
inferredcites →https://doi.org/10.1111/nph.13700openalex-extracted
Does the legacy of historical biogeography shape current invasiveness in pines?
inferredcites →https://doi.org/10.1146/annurev.ecolsys.110308.120159openalex-extracted
Species Distribution Models: Ecological Explanation and Prediction Across Space and Time
inferredcites →https://doi.org/10.1371/journal.pone.0048970openalex-extracted
Phylogeny of the Genus Chrysanthemum L.: Evidence from Single-Copy Nuclear Gene and Chloroplast DNA Sequences
inferredcites →https://doi.org/10.1515/9780691209418openalex-extracted
Evolution in Changing Environments
inferredcites →https://doi.org/10.15302/j-fase-2017172openalex-extracted
ClimateAP: an application for dynamic local downscaling of historical and future climate data in Asia Pacific
inferredcites →https://doi.org/10.32614/cran.package.biomod2openalex-extracted
biomod2: Ensemble Platform for Species Distribution Modeling
inferredcites →https://doi.org/10.32614/cran.package.rasteropenalex-extracted
raster: Geographic Data Analysis and Modeling
inferredcites →https://doi.org/10.32614/cran.package.usdmopenalex-extracted
usdm: Uncertainty Analysis for Species Distribution Models
inferredcites →https://doi.org/10.32614/r.manualsopenalex-extracted
R: A Language and Environment for Statistical Computing
inferredcites →https://doi.org/10.3389/fevo.2023.1250491openalex-extracted
Echoes of the past: niche evolution, range dynamics, and their coupling shape the distribution of species in the Chrysanthemum zawadskii species complex
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