Ecological Niches and Suitability Areas of Three Host Pine Species of Bark Beetle Dendroctonus mexicanus Hopkins

Distribución actual y potencial de Dendroctonus mexicanus Hopkins bajo dos escenarios de cambio climático

(2020) Fátima Monserrat Méndez Encina et al.   Madera y Bosques

stratifyR: An R Package for optimal stratification and sample allocation for univariate populations

(2020) K. G. Reddy et al.   AUSTRALIAN & NEW ZEALAND JOURNAL OF STATISTICS

kuenm: an R package for detailed development of ecological niche models using Maxent

(2019) Marlon E. Cobos et al.   PeerJ

Forest Insects and Climate Change

(2018) Deepa S. Pureswaran et al.   Current Forestry Reports

Evaluating collinearity effects on species distribution models: An approach based on virtual species simulation

(2018) Paulo De Marco et al.   PLoS One

Modelling potential distribution of a pine bark beetle in Mexican temperate forests using forecast data and spatial analysis tools

(2018) Antonio González-Hernández et al.   JOURNAL OF FORESTRY RESEARCH

Paintings predict the distribution of species, or the challenge of selecting environmental predictors and evaluation statistics

(2017) Yoan Fourcade et al.   GLOBAL ECOLOGY AND BIOGEOGRAPHY

Diferencias conceptuales entre modelación de nichos y modelación de áreas de distribución

(2017) Jorge Soberón et al.   Revista Mexicana de Biodiversidad

MaxEnt’s parameter configuration and small samples: are we paying attention to recommendations? A systematic review

(2017) Narkis S. Morales et al.   PeerJ

Climatologies at high resolution for the earth’s land surface areas

(2017) Dirk Nikolaus Karger et al.   Scientific Data

Una visión actual de la diversidad y distribución de los pinos de México

(2016) Arturo Sánchez-González   Madera y Bosques

spThin: an R package for spatial thinning of species occurrence records for use in ecological niche models

(2015) Matthew E. Aiello-Lammens et al.   ECOGRAPHY

Designing stratified sampling in economic and business surveys

(2015) M.G.M. Khan et al.   JOURNAL OF APPLIED STATISTICS

FactoMineR: AnRPackage for Multivariate Analysis

(2015) Sébastien Lê et al.   Journal of Statistical Software

Potential species distribution modeling and the use of principal component analysis as predictor variables

(2015) Gustavo Cruz-Cárdenas et al.   Revista Mexicana de Biodiversidad

Similar but not equivalent: ecological niche comparison across closely-related Mexican white pines

(2014) Jesús Aguirre-Gutiérrez et al.   DIVERSITY AND DISTRIBUTIONS

Potential for spread of the white-nose fungus (Pseudogymnoascus destructans) in the Americas: use of Maxent and NicheA to assure strict model transference

(2014) Luis E. Escobar et al.   Geospatial Health

Unifying niche shift studies: insights from biological invasions

(2014) Antoine Guisan et al.   TRENDS IN ECOLOGY & EVOLUTION

Accounting for shifts in the frequency of suitable environments when testing for niche overlap

(2014) William Godsoe et al.   Methods in Ecology and Evolution

Predicting the distribution of a novel bark beetle and its pine hosts under future climate conditions

(2013) Steven E. Smith et al.   AGRICULTURAL AND FOREST ENTOMOLOGY

A practical guide to MaxEnt for modeling species’ distributions: what it does, and why inputs and settings matter

(2013) Cory Merow et al.   ECOGRAPHY

Estimating optimal complexity for ecological niche models: A jackknife approach for species with small sample sizes

(2013) Mariya Shcheglovitova et al.   ECOLOGICAL MODELLING

Making better Maxentmodels of species distributions: complexity, overfitting and evaluation

(2013) Aleksandar Radosavljevic et al.   JOURNAL OF BIOGEOGRAPHY

Biodiversidad de Pinophyta (coníferas) en México

(2013) David S. Gernandt et al.   Revista Mexicana de Biodiversidad

Factors Influencing the Geographical Distribution ofDendroctonus rhizophagus(Coleoptera: Curculionidae: Scolytinae) in the Sierra Madre Occidental, México

(2011) Ma. Guadalupe Mendoza et al.   ENVIRONMENTAL ENTOMOLOGY

Measuring ecological niche overlap from occurrence and spatial environmental data

(2011) Olivier Broennimann et al.   GLOBAL ECOLOGY AND BIOGEOGRAPHY

Climate Change and Bark Beetles of the Western United States and Canada: Direct and Indirect Effects

(2010) Barbara J. Bentz et al.   BIOSCIENCE

Determining the vulnerability of Mexican pine forests to bark beetles of the genus Dendroctonus Erichson (Coleoptera: Curculionidae: Scolytinae)

(2010) Y. Salinas-Moreno et al.   FOREST ECOLOGY AND MANAGEMENT

Improving species distribution models for climate change studies: variable selection and scale

(2010) Mike P. Austin et al.   JOURNAL OF BIOGEOGRAPHY

The art of modelling range-shifting species

(2010) Jane Elith et al.   Methods in Ecology and Evolution

Species Distribution Models: Ecological Explanation and Prediction Across Space and Time

(2009) Jane Elith et al.   Annual Review of Ecology Evolution and Systematics

Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation

(2008) Steven J. Phillips et al.   ECOGRAPHY

Rethinking receiver operating characteristic analysis applications in ecological niche modeling

(2008) A. Townsend Peterson et al.   ECOLOGICAL MODELLING

Prediction of plant species distributions across six millennia

(2008) Peter B. Pearman et al.   ECOLOGY LETTERS

ENVIRONMENTAL NICHE EQUIVALENCY VERSUS CONSERVATISM: QUANTITATIVE APPROACHES TO NICHE EVOLUTION

(2008) Dan L. Warren et al.   EVOLUTION

AUC: a misleading measure of the performance of predictive distribution models

(2007) Jorge M. Lobo et al.   GLOBAL ECOLOGY AND BIOGEOGRAPHY