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Use of taxonomy to delineate spatial extent of atlas data for species distribution models
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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/sim.4780100805openalex-snapshot
Validation techniques for logistic regression models
inferredcites →https://doi.org/10.1007/bf00051966openalex-snapshot
DOMAIN: a flexible modelling procedure for mapping potential distributions of plants and animals
inferredcites →https://doi.org/10.1016/0169-2070(92)90008-wopenalex-snapshot
Error measures for generalizing about forecasting methods: Empirical comparisons
inferredcites →https://doi.org/10.1016/j.ecolmodel.2008.11.010openalex-snapshot
Selecting pseudo-absence data for presence-only distribution modeling: How far should you stray from what you know?
inferredcites →https://doi.org/10.1016/j.ecolmodel.2011.02.011openalex-snapshot
The crucial role of the accessible area in ecological niche modeling and species distribution modeling
inferredcites →https://doi.org/10.1016/j.jnc.2010.03.002openalex-snapshot
Exploring the effects of quantity and location of pseudo-absences and sampling biases on the performance of distribution models with limited point occurrence data
inferredcites →https://doi.org/10.1016/s0006-3207(02)00415-9openalex-snapshot
Measuring conservation value at fine and broad scales: implications for a diverse and fragmented region, the Agulhas Plain
inferredcites →https://doi.org/10.1016/s0006-3207(03)00066-1openalex-snapshot
Otter ( Lutra lutra ) distribution modeling at two resolution scales suited to conservation planning in the Iberian Peninsula
inferredcites →https://doi.org/10.1016/s0304-3800(99)00227-6openalex-snapshot
An evaluation of alternative algorithms for fitting species distribution models using logistic regression
inferredcites →https://doi.org/10.1017/cbo9780511810602openalex-snapshot
Mapping Species Distributions
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A review of methods for the assessment of prediction errors in conservation presence/absence models
inferredcites →https://doi.org/10.1023/a:1021302930424openalex-snapshot
Extended statistical approaches to modelling spatial pattern in biodiversity in northeast New South Wales. I. Species-level modelling
inferredcites →https://doi.org/10.1073/pnas.0901637106openalex-snapshot
Niches and distributional areas: Concepts, methods, and assumptions
inferredcites →https://doi.org/10.1098/rspb.2008.1232openalex-snapshot
A macroevolutionary perspective on species range limits
inferredcites →https://doi.org/10.1111/ddi.12125openalex-snapshot
Species distribution models in conservation biogeography: developments and challenges
inferredcites →https://doi.org/10.1111/ecog.01014openalex-snapshot
What is the potential of spread in invasive bryophytes?
inferredcites →https://doi.org/10.1111/geb.12007openalex-snapshot
Discrimination capacity in species distribution models depends on the representativeness of the environmental domain
inferredcites →https://doi.org/10.1111/j.1365-2656.2008.01390.xopenalex-snapshot
A working guide to boosted regression trees
inferredcites →https://doi.org/10.1111/j.1365-2664.2005.01112.xopenalex-snapshot
Modelling distribution and abundance with presence‐only data
inferredcites →https://doi.org/10.1111/j.1365-2664.2006.01141.xopenalex-snapshot
Modelling ecological niches with support vector machines
inferredcites →https://doi.org/10.1111/j.1365-2699.2010.02290.xopenalex-snapshot
The effect of the extent of the study region on GIS models of species geographic distributions and estimates of niche evolution: preliminary tests with montane rodents (genus Nephelomys ) in Venezuela
inferredcites →https://doi.org/10.1111/j.1365-2699.2010.02456.xopenalex-snapshot
Ecological niche conservatism: a time-structured review of evidence
inferredcites →https://doi.org/10.1111/j.1365-2699.2012.02713.xopenalex-snapshot
Delimiting the geographical background in species distribution modelling
inferredcites →https://doi.org/10.1111/j.1366-9516.2006.00241.xopenalex-snapshot
Accuracy of resource selection functions across spatial scales
inferredcites →https://doi.org/10.1111/j.1466-822x.2004.00128.xopenalex-snapshot
Downscaling European species atlas distributions to a finer resolution: implications for conservation planning
inferredcites →https://doi.org/10.1111/j.1466-8238.2007.00358.xopenalex-snapshot
AUC: a misleading measure of the performance of predictive distribution models
inferredcites →https://doi.org/10.1111/j.1466-8238.2011.00698.xopenalex-snapshot
Measuring ecological niche overlap from occurrence and spatial environmental data
inferredcites →https://doi.org/10.1111/j.1467-842x.2005.00372.xopenalex-snapshot
WAS IT THERE? DEALING WITH IMPERFECT DETECTION FOR SPECIES PRESENCE/ABSENCE DATA†
inferredcites →https://doi.org/10.1111/j.1469-1795.2012.00526.xopenalex-snapshot
Cross‐scale predictions allow the identification of local conservation priorities from atlas data
inferredcites →https://doi.org/10.1111/j.1472-4642.2007.00340.xopenalex-snapshot
Predicting species distributions from museum and herbarium records using multiresponse models fitted with multivariate adaptive regression splines
inferredcites →https://doi.org/10.1111/j.1472-4642.2008.00496.xopenalex-snapshot
Not as good as they seem: the importance of concepts in species distribution modelling
inferredcites →https://doi.org/10.1111/j.1472-4642.2011.00793.xopenalex-snapshot
Finessing atlas data for species distribution models
inferredcites →https://doi.org/10.1111/j.1523-1739.2010.01517.xopenalex-snapshot
Use of Coarse‐Resolution Models of Species’ Distributions to Guide Local Conservation Inferences
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.1600-0587.2008.05505.xopenalex-snapshot
Do they? How do they? WHY do they differ? On finding reasons for differing performances of species distribution models
inferredcites →https://doi.org/10.1111/j.1600-0587.2009.06039.xopenalex-snapshot
The uncertain nature of absences and their importance in species distribution modelling
inferredcites →https://doi.org/10.1111/j.2006.0906-7590.04596.xopenalex-snapshot
Novel methods improve prediction of species’ distributions from occurrence data
inferredcites →https://doi.org/10.1126/science.1215933openalex-snapshot
Climatic Niche Shifts Are Rare Among Terrestrial Plant Invaders
inferredcites →https://doi.org/10.1146/annurev.ecolsys.110308.120159openalex-snapshot
Species Distribution Models: Ecological Explanation and Prediction Across Space and Time
inferredcites →https://doi.org/10.1146/annurev.ecolsys.27.1.597openalex-snapshot
THE GEOGRAPHIC RANGE: Size, Shape, Boundaries, and Internal Structure
inferredcites →https://doi.org/10.1163/156853809788201207openalex-snapshot
Biogeographical patterns derived from remote sensing variables: the amphibians and reptiles of the Iberian Peninsula
inferredcites →https://doi.org/10.1214/aos/1013203451openalex-snapshot
Greedy function approximation: A gradient boosting machine.
inferredcites →https://doi.org/10.17161/bi.v2i0.4openalex-snapshot
Interpretation of Models of Fundamental Ecological Niches and Species’ Distributional Areas
inferredcites →https://doi.org/10.1890/07-0539.1openalex-snapshot
RANDOM FORESTS FOR CLASSIFICATION IN ECOLOGY
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/10.2307/1939924openalex-snapshot
Spatial Autocorrelation: Trouble or New Paradigm?
inferredcites →https://doi.org/10.32614/r.manualsopenalex-snapshot
R: A Language and Environment for Statistical Computing
inferredcites →https://doi.org/10.3354/meps09391openalex-snapshot
Species distribution modelling of marine benthos: a North Sea case study
inferredcites →https://doi.org/10.4322/natcon.2012.029openalex-snapshot
Basic questions in biogeography and the (lack of) simplicity of species distributions: Putting species distribution models in the right place
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.3897/subtbiol.58.194901zenodo-depositor-declared
From order to species: Modelling Amphipoda distributions in the Hamersley Range
inferred← citeshttps://doi.org/10.1002/ece3.71390openalex-snapshot
Occurrence Data Sources Matter for Species Distribution Modeling: A Case Study of Quercus variabilis Based on Biomod2
inferred← citeshttps://doi.org/10.1007/s10336-023-02078-4openalex-snapshot
Stopover-site feather isotopes uncover African non-breeding grounds of migratory passerines
inferred← citeshttps://doi.org/10.1007/s10531-018-1675-yopenalex-snapshot
Incorporating knowledge uncertainty into species distribution modelling
inferred← citeshttps://doi.org/10.1007/s10584-017-2082-1openalex-snapshot
Predictor weighting and geographical background delimitation: two synergetic sources of uncertainty when assessing species sensitivity to climate change
inferred← citeshttps://doi.org/10.1016/j.ecoinf.2024.102604openalex-snapshot
Bias correction in species distribution models based on geographic and environmental characteristics
inferred← citeshttps://doi.org/10.1016/j.ecolmodel.2021.109671openalex-snapshot
Want to model a species niche? A step-by-step guideline on correlative ecological niche modelling
inferred← citeshttps://doi.org/10.1080/09670874.2018.1533664openalex-snapshot
Predicting the distribution of harmful species and their natural enemies in agricultural, livestock and forestry systems: an overview
inferred← citeshttps://doi.org/10.1093/cz/zox063openalex-snapshot
A procedure to assess the spatial variability in the importance of abiotic factors affecting distributions: the case of world freshwater fishes
inferred← citeshttps://doi.org/10.1111/jbi.14078openalex-snapshot
Understanding parapatry: How do environment and competitive interactions shape Iberian vipers’ distributions?
inferred← citeshttps://doi.org/10.3389/fevo.2022.944116openalex-snapshot
Accounting for niche truncation to improve spatial and temporal predictions of species distributions
inferred← citeshttps://doi.org/10.3990/1.9789036551878openalex-snapshot
Perspective matters : individual and species movement in spatial context
inferred← citeshttps://doi.org/10.7717/peerj.6673openalex-snapshot
Using opportunistic sightings to infer differential spatio-temporal use of western Mediterranean waters by the fin whale
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