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Vulnerability to climate change for narrowly ranged species: the case of Ecuadorian endemic Magnolia mercedesiarum
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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/joc.5086openalex-snapshot
WorldClim 2: new 1‐km spatial resolution climate surfaces for global land areas
inferredcites →https://doi.org/10.1007/978-0-387-84858-7openalex-snapshot
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
inferredcites →https://doi.org/10.1007/bf00044824openalex-snapshot
Dispersal of ornithochorous seeds from forest edges in central Florida
inferredcites →https://doi.org/10.1007/bf00055269openalex-snapshot
Ornithochory and plant succession in mediterranean abandoned orchards
inferredcites →https://doi.org/10.1007/s10682-008-9251-7openalex-snapshot
Speciation and the evolution of dispersal along environmental gradients
inferredcites →https://doi.org/10.1016/j.ecolmodel.2005.03.026openalex-snapshot
Maximum entropy modeling of species geographic distributions
inferredcites →https://doi.org/10.1016/j.ecolmodel.2009.10.009openalex-snapshot
Modeling a spatially restricted distribution in the Neotropics: How the size of calibration area affects the performance of five presence-only methods
inferredcites →https://doi.org/10.1016/j.ecolmodel.2016.02.021openalex-snapshot
How important are choice of model selection method and spatial autocorrelation of presence data for distribution modelling by MaxEnt?
inferredcites →https://doi.org/10.1016/s0304-3800(02)00190-4openalex-snapshot
Continuum theory revisited: what shape are species responses along ecological gradients?
inferredcites →https://doi.org/10.1017/cbo9780511810602openalex-snapshot
Mapping Species Distributions
inferredcites →https://doi.org/10.1017/cbo9781107415324.024openalex-snapshot
Long-term Climate Change: Projections, Commitments and Irreversibility
inferredcites →https://doi.org/10.1017/s0376892997000088openalex-snapshot
A review of methods for the assessment of prediction errors in conservation presence/absence models
inferredcites →https://doi.org/10.1038/s41559-017-0182openalex-snapshot
Extinction debt and colonization credit delay range shifts of eastern North American trees
inferredcites →https://doi.org/10.1038/s41559-017-0195openalex-snapshot
Widely used marine seismic survey air gun operations negatively impact zooplankton
inferredcites →https://doi.org/10.1038/sj.hdy.6885180openalex-snapshot
Spatial autocorrelation analysis of individual multiallele and multilocus genetic structure
inferredcites →https://doi.org/10.1046/j.1365-2664.2001.00647.xopenalex-snapshot
Evaluating presence–absence models in ecology: the need to account for prevalence
inferredcites →https://doi.org/10.1046/j.1461-0248.2000.00143.xopenalex-snapshot
On the relationship between niche and distribution
inferredcites →https://doi.org/10.1046/j.1466-822x.2003.00042.xopenalex-snapshot
Predicting the impacts of climate change on the distribution of species: are bioclimate envelope models useful?
inferredcites →https://doi.org/10.1073/pnas.0901637106openalex-snapshot
Niches and distributional areas: Concepts, methods, and assumptions
inferredcites →https://doi.org/10.1073/pnas.0901650106openalex-snapshot
Hutchinson's duality: The once and future niche
inferredcites →https://doi.org/10.1073/pnas.1713936115openalex-snapshot
Range dynamics of mountain plants decrease with elevation
inferredcites →https://doi.org/10.1080/01621459.1990.10474920openalex-snapshot
Unmasking Multivariate Outliers and Leverage Points
inferredcites →https://doi.org/10.1086/378926openalex-snapshot
Predicting the Geography of Species’ Invasions via Ecological Niche Modeling
inferredcites →https://doi.org/10.1098/rsbl.2009.0820openalex-snapshot
Organisms on the move: ecology and evolution of dispersal
inferredcites →https://doi.org/10.1111/2041-210x.12252openalex-snapshot
Maxent is not a presence–absence method: a comment on Thibaud et al .
inferredcites →https://doi.org/10.1111/ddi.12209openalex-snapshot
Here be dragons: a tool for quantifying novelty due to covariate range and correlation change when projecting species distribution models
inferredcites →https://doi.org/10.1111/ecog.01509openalex-snapshot
Minimum required number of specimen records to develop accurate species distribution models
inferredcites →https://doi.org/10.1111/ecog.02445openalex-snapshot
Modelling of species distributions, range dynamics and communities under imperfect detection: advances, challenges and opportunities
inferredcites →https://doi.org/10.1111/gcb.12051openalex-snapshot
Modeling plant species distributions under future climates: how fine scale do climate projections need to be?
inferredcites →https://doi.org/10.1111/j.0021-8901.2004.00881.xopenalex-snapshot
An improved approach for predicting the distribution of rare and endangered species from occurrence and pseudo‐absence data
inferredcites →https://doi.org/10.1111/j.0030-1299.2005.13632.xopenalex-snapshot
Predictability of plant species composition from environmental conditions is constrained by dispersal limitation
inferredcites →https://doi.org/10.1111/j.0906-7590.2005.03957.xopenalex-snapshot
Selecting thresholds of occurrence in the prediction of species distributions
inferredcites →https://doi.org/10.1111/j.0906-7590.2008.5203.xopenalex-snapshot
Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation
inferredcites →https://doi.org/10.1111/j.1365-2486.2005.00997.xopenalex-snapshot
Potential impacts of future land use and climate change on the Red List status of the Proteaceae in the Cape Floristic Region, South Africa
inferredcites →https://doi.org/10.1111/j.1365-2486.2008.01766.xopenalex-snapshot
Climate change and plant distribution: local models predict high‐elevation persistence
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.1365-2664.2006.01214.xopenalex-snapshot
Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS)
inferredcites →https://doi.org/10.1111/j.1365-2699.2006.01466.xopenalex-snapshot
Are niche‐based species distribution models transferable in space?
inferredcites →https://doi.org/10.1111/j.1365-294x.2004.02271.xopenalex-snapshot
Size distribution and genetic structure in relation to clonal growth within a population ofMagnolia tomentosaThunb. (Magnoliaceae)
inferredcites →https://doi.org/10.1111/j.1461-0248.2005.00792.xopenalex-snapshot
Predicting species distribution: offering more than simple habitat models
inferredcites →https://doi.org/10.1111/j.1461-0248.2007.01107.xopenalex-snapshot
Grinnellian and Eltonian niches and geographic distributions of species
inferredcites →https://doi.org/10.1111/j.1461-0248.2010.01515.xopenalex-snapshot
Niche conservatism as an emerging principle in ecology and conservation biology
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.1466-8238.2011.00683.xopenalex-snapshot
Insights into the area under the receiver operating characteristic curve (AUC) as a discrimination measure in species distribution modelling
inferredcites →https://doi.org/10.1111/j.1472-4642.2009.00617.xopenalex-snapshot
Profile or group discriminative techniques? Generating reliable species distribution models using pseudo‐absences and target‐group absences from natural history collections
inferredcites →https://doi.org/10.1111/j.1472-4642.2010.00725.xopenalex-snapshot
A statistical explanation of MaxEnt for ecologists
inferredcites →https://doi.org/10.1111/j.1600-0587.2009.06074.xopenalex-snapshot
Niche and area of distribution modeling: a population ecology perspective
inferredcites →https://doi.org/10.1111/j.1600-0587.2011.06545.xopenalex-snapshot
The effects of small sample size and sample bias on threshold selection and accuracy assessment of species distribution models
inferredcites →https://doi.org/10.1111/j.1600-0587.2013.07872.xopenalex-snapshot
A practical guide to MaxEnt for modeling species' distributions: what it does, and why inputs and settings matter
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/10.1111/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/j.2007.0906-7590.05171.xopenalex-snapshot
Methods to account for spatial autocorrelation in the analysis of species distributional data: a review
inferredcites →https://doi.org/10.1111/j.2041-210x.2010.00036.xopenalex-snapshot
The art of modelling range-shifting species
inferredcites →https://doi.org/10.1111/j.2041-210x.2011.00172.xopenalex-snapshot
Selecting pseudo‐absences for species distribution models: how, where and how many?
inferredcites →https://doi.org/10.1111/j.2517-6161.1996.tb02080.xopenalex-snapshot
Regression Shrinkage and Selection Via the Lasso
inferredcites →https://doi.org/10.1126/science.1067335openalex-snapshot
Species Diversity--Scale Matters
inferredcites →https://doi.org/10.1146/annurev-ecolsys-120213-091905openalex-snapshot
Biome Shifts and Niche Evolution in Plants
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/10.1163/1570-6664_iyb_sim_org_2285openalex-snapshot
IUCN (International Union for Conservation of Nature)
inferredcites →https://doi.org/10.11646/phytotaxa.348.4.2openalex-snapshot
Magnolia mercedesiarum (subsect. Talauma, Magnoliaceae): a new Andean species from northern Ecuador, with insights into its potential distribution
inferredcites →https://doi.org/10.1175/bams-d-11-00094.1openalex-snapshot
An Overview of CMIP5 and the Experiment Design
inferredcites →https://doi.org/10.1214/aos/1176347963openalex-snapshot
Multivariate Adaptive Regression Splines
inferredcites →https://doi.org/10.1214/ss/1009213726openalex-snapshot
Statistical Modeling: The Two Cultures (with comments and a rejoinder by the author)
inferredcites →https://doi.org/10.1371/journal.pone.0001439openalex-snapshot
Potential Impacts of Climatic Change on European Breeding Birds
inferredcites →https://doi.org/10.1371/journal.pone.0063708openalex-snapshot
Fit-for-Purpose: Species Distribution Model Performance Depends on Evaluation Criteria – Dutch Hoverflies as a Case Study
inferredcites →https://doi.org/10.1371/journal.pone.0097122openalex-snapshot
Mapping Species Distributions with MAXENT Using a Geographically Biased Sample of Presence Data: A Performance Assessment of Methods for Correcting Sampling Bias
inferredcites →https://doi.org/10.1371/journal.pone.0117893openalex-snapshot
Using High-Resolution Future Climate Scenarios to Forecast Bromus tectorum Invasion in Rocky Mountain National Park
inferredcites →https://doi.org/10.1577/1548-8659(2002)131<0329:pmofsd>2.0.co;2openalex-snapshot
Predictive Models of Fish Species Distributions: A Note on Proper Validation and Chance Predictions
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/10.1890/11-1930.1openalex-snapshot
Uses and misuses of bioclimatic envelope modeling
inferredcites →https://doi.org/10.2307/2259264openalex-snapshot
An Introduction to Population Ecology.
inferredcites →https://doi.org/10.2307/2560339openalex-snapshot
The Morphology and Systematics of the West Indian Magnoliaceae
inferredcites →https://doi.org/10.2307/2807454openalex-snapshot
Magnolia (Magnoliaceae) in Mexico and Central America: A Synopsis
inferredcites →https://doi.org/10.3133/ds691openalex-snapshot
Bioclimatic predictors for supporting ecological applications in the conterminous United States
inferredcites →https://doi.org/10.3133/ofr20111073openalex-snapshot
Global multi-resolution terrain elevation data 2010 (GMTED2010)
inferredcites →https://doi.org/10.5061/dryad.s5f28openalex-snapshot
Data from: Magnolia mercedesiarum (subsect. Talauma, Magnoliaceae): a new Andean species from northern Ecuador, with insights into its potential distribution
inferredcites →https://doi.org/10.5194/gmd-4-723-2011openalex-snapshot
The HadGEM2 family of Met Office Unified Model climate configurations
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1016/j.jnc.2019.125782openalex-snapshot
Is there potential in elevational assisted migration for the endangered Magnolia vovidesii?
inferred← citeshttps://doi.org/10.17129/botsci.2868openalex-snapshot
Distribución y conservación de Magnolia (Magnoliaceae) en Cuba
inferred← citeshttps://doi.org/10.3389/ffgc.2026.1861793openalex-snapshot
Contrasting physiological strategies of Quercus acuta and Q. glauca half-sib families under differing winter thermal conditions
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