Using worldwide edaphic data to model plant species niches: An assessment at a continental extent
Published 2017 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Using worldwide edaphic data to model plant species niches: An assessment at a continental extent
Authors
Keywords
Algorithms, Plants, Climate modeling, Forecasting, Machine learning algorithms, Invasive species, Ecological niches, Soil chemistry
Journal
PLoS One
Volume 12, Issue 10, Pages e0186025
Publisher
Public Library of Science (PLoS)
Online
2017-10-20
DOI
10.1371/journal.pone.0186025
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Evaluating how species niche modelling is affected by partial distributions with an empirical case
- (2016) Miguel A. Carretero et al. ACTA OECOLOGICA-INTERNATIONAL JOURNAL OF ECOLOGY
- Modeling impacts of future climate on the distribution of Myristicaceae species in the Western Ghats, India
- (2016) Hebbar Priti et al. ECOLOGICAL ENGINEERING
- Least-Squares Means: TheRPackagelsmeans
- (2016) Russell V. Lenth Journal of Statistical Software
- What we use is not what we know: environmental predictors in plant distribution models
- (2016) Heidi K. Mod et al. JOURNAL OF VEGETATION SCIENCE
- Know your limits – The need for better data on species responses to soil variables
- (2015) Martin Diekmann et al. BASIC AND APPLIED ECOLOGY
- Widespread mistaken identity in tropical plant collections
- (2015) Zoë A. Goodwin et al. CURRENT BIOLOGY
- Using Two Climate Change Vulnerability Assessment Methods to Prioritize and Manage Rare Plants: A Case Study
- (2015) Shannon M. Still et al. NATURAL AREAS JOURNAL
- Global priorities for an effective information basis of biodiversity distributions
- (2015) Carsten Meyer et al. Nature Communications
- No silver bullets in correlative ecological niche modelling: insights from testing among many potential algorithms for niche estimation
- (2015) Huijie Qiao et al. Methods in Ecology and Evolution
- Developing conservation strategies for Pinus koraiensis and Eleutherococcus senticosus by using model-based geographic distributions
- (2015) Jizhong Wan et al. JOURNAL OF FORESTRY RESEARCH
- Mapping Soil Properties of Africa at 250 m Resolution: Random Forests Significantly Improve Current Predictions
- (2015) Tomislav Hengl et al. PLoS One
- Potential species distribution modeling and the use of principal component analysis as predictor variables
- (2015) Gustavo Cruz-Cárdenas et al. Revista Mexicana de Biodiversidad
- Succession of Saline Vegetation in Slovakia after a Large-Scale Disturbance
- (2014) Zuzana Melečková et al. ANNALES BOTANICI FENNICI
- The use of species distribution models to predict the spatial distribution of deforestation in the western Brazilian Amazon
- (2014) Rodrigo Antônio de Souza et al. ECOLOGICAL MODELLING
- Effects of alternative sets of climatic predictors on species distribution models and associated estimates of extinction risk: A test with plants in an arid environment
- (2014) Patricio Pliscoff et al. ECOLOGICAL MODELLING
- Beyond a Climate-Centric View of Plant Distribution: Edaphic Variables Add Value to Distribution Models
- (2014) Frieda Beauregard et al. PLoS One
- Mapping Species Distributions with MAXENT Using a Geographically Biased Sample of Presence Data: A Performance Assessment of Methods for Correcting Sampling Bias
- (2014) Yoan Fourcade et al. PLoS One
- SoilGrids1km — Global Soil Information Based on Automated Mapping
- (2014) Tomislav Hengl et al. PLoS One
- The Predictive Performance and Stability of Six Species Distribution Models
- (2014) Ren-Yan Duan et al. PLoS One
- Maxent is not a presence-absence method: a comment on Thibaudet al.
- (2014) Gurutzeta Guillera-Arroita et al. Methods in Ecology and Evolution
- ENMeval: An R package for conducting spatially independent evaluations and estimating optimal model complexity forMaxentecological niche models
- (2014) Robert Muscarella et al. Methods in Ecology and Evolution
- Support vector machines in engineering: an overview
- (2014) S. Salcedo-Sanz et al. Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery
- Improving the assessment and reporting on rare and endangered species through species distribution models
- (2014) Rita Sousa-Silva et al. Global Ecology and Conservation
- The taxonomic name resolution service: an online tool for automated standardization of plant names
- (2013) Brad Boyle et al. BMC BIOINFORMATICS
- Predicting species distribution at range margins: testing the effects of study area extent, resolution and threshold selection in the Sahara-Sahel transition zone
- (2013) Cândida G. Vale et al. DIVERSITY AND DISTRIBUTIONS
- Spatial bias in the GBIF database and its effect on modeling species' geographic distributions
- (2013) Jan Beck et al. Ecological Informatics
- On the importance of edaphic variables to predict plant species distributions - limits and prospects
- (2013) Wilfried Thuiller JOURNAL OF VEGETATION SCIENCE
- Labeling Ecological Niche Models
- (2013) Thiago Fernando Rangel et al. Natureza & Conservacao
- Fit-for-Purpose: Species Distribution Model Performance Depends on Evaluation Criteria – Dutch Hoverflies as a Case Study
- (2013) Jesús Aguirre-Gutiérrez et al. PLoS One
- Characterizing uncertainty in species distribution models derived from interpolated weather station data
- (2013) M. Fernández et al. Ecosphere
- Collinearity: a review of methods to deal with it and a simulation study evaluating their performance
- (2012) Carsten F. Dormann et al. ECOGRAPHY
- Disregarding the edaphic dimension in species distribution models leads to the omission of crucial spatial information under climate change: the case ofQuercus pubescensin France
- (2012) Romain Bertrand et al. GLOBAL CHANGE BIOLOGY
- Improving the prediction of plant species distribution and community composition by adding edaphic to topo-climatic variables
- (2012) Anne Dubuis et al. JOURNAL OF VEGETATION SCIENCE
- Pseudoabsence Generation Strategies for Species Distribution Models
- (2012) Brice B. Hanberry et al. PLoS One
- Selecting pseudo-absences for species distribution models: how, where and how many?
- (2012) Morgane Barbet-Massin et al. Methods in Ecology and Evolution
- Predicting Species Distributions from Samples Collected along Roadsides
- (2011) KYLE P. MCCARTHY et al. CONSERVATION BIOLOGY
- Predicting spatial patterns of plant species richness: a comparison of direct macroecological and species stacking modelling approaches
- (2011) Anne Dubuis et al. DIVERSITY AND DISTRIBUTIONS
- The crucial role of the accessible area in ecological niche modeling and species distribution modeling
- (2011) Narayani Barve et al. ECOLOGICAL MODELLING
- Species-specific tuning increases robustness to sampling bias in models of species distributions: An implementation with Maxent
- (2011) Robert P. Anderson et al. ECOLOGICAL MODELLING
- Incorporating uncertainty in predictive species distribution modelling
- (2011) C. M. Beale et al. PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
- Effects of the Training Dataset Characteristics on the Performance of Nine Species Distribution Models: Application to Diabrotica virgifera virgifera
- (2011) Maxime Dupin et al. PLoS One
- Applications of species distribution modeling to paleobiology
- (2011) Jens-Christian Svenning et al. QUATERNARY SCIENCE REVIEWS
- Species distribution models that do not incorporate global data misrepresent potential distributions: a case study using Iberian diving beetles
- (2010) David Sánchez-Fernández et al. DIVERSITY AND DISTRIBUTIONS
- A statistical explanation of MaxEnt for ecologists
- (2010) Jane Elith et al. DIVERSITY AND DISTRIBUTIONS
- How much do we overestimate future local extinction rates when restricting the range of occurrence data in climate suitability models?
- (2010) Morgane Barbet-Massin et al. ECOGRAPHY
- The uncertain nature of absences and their importance in species distribution modelling
- (2010) Jorge M. Lobo et al. ECOGRAPHY
- Measuring and comparing the accuracy of species distribution models with presence-absence data
- (2010) Canran Liu et al. ECOGRAPHY
- Comparing machine learning classifiers in potential distribution modelling
- (2010) Ana C. Lorena et al. EXPERT SYSTEMS WITH APPLICATIONS
- Impact of landscape predictors on climate change modelling of species distributions: a case study with Eucalyptus fastigata in southern New South Wales, Australia
- (2010) Mike P. Austin et al. JOURNAL OF BIOGEOGRAPHY
- 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
- (2010) Robert P. Anderson et al. JOURNAL OF BIOGEOGRAPHY
- Applications and limitations of museum data for conservation and ecology, with particular attention to species distribution models
- (2010) Tim Newbold PROGRESS IN PHYSICAL GEOGRAPHY
- Nutrition of mangroves
- (2010) R. Reef et al. TREE PHYSIOLOGY
- The effect of prevalence and its interaction with sample size on the reliability of species distribution models
- (2009) A. Jiménez-Valverde et al. COMMUNITY ECOLOGY
- Using species distribution models to predict new occurrences for rare plants
- (2009) John N. Williams et al. DIVERSITY AND DISTRIBUTIONS
- Invasive species distribution modeling (iSDM): Are absence data and dispersal constraints needed to predict actual distributions?
- (2009) Tomáš Václavík et al. ECOLOGICAL MODELLING
- Species traits affect the performance of species distribution models for plants in southern California
- (2009) Alexandra D. Syphard et al. JOURNAL OF VEGETATION SCIENCE
- Hutchinson's duality: The once and future niche
- (2009) R. K. Colwell et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Topography and spatial variability of soil physical properties
- (2009) Marcos Bacis Ceddia et al. SCIENTIA AGRICOLA
- Not as good as they seem: the importance of concepts in species distribution modelling
- (2008) Alberto Jiménez-Valverde et al. DIVERSITY AND DISTRIBUTIONS
- Historical bias in biodiversity inventories affects the observed environmental niche of the species
- (2008) Joaquín Hortal et al. OIKOS
- AUC: a misleading measure of the performance of predictive distribution models
- (2007) Jorge M. Lobo et al. GLOBAL ECOLOGY AND BIOGEOGRAPHY
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search