相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Including imprecisely georeferenced specimens improves accuracy of species distribution models and estimates of niche breadth
Adam B. Smith et al.
GLOBAL ECOLOGY AND BIOGEOGRAPHY (2023)
Scale mismatches between predictor and response variables in species distribution modelling: A review of practices for appropriate grain selection
Vitezslav Moudry et al.
PROGRESS IN PHYSICAL GEOGRAPHY-EARTH AND ENVIRONMENT (2023)
Importance of data selection and filtering in species distribution models: A case study on the Cantabrian brown bear
Alejandra Zarzo-Arias et al.
ECOSPHERE (2022)
Assessing multitemporal calibration for species distribution models
Anderson A. Eduardo et al.
ECOLOGICAL INFORMATICS (2022)
Positional errors in species distribution modelling are not overcome by the coarser grains of analysis
Lukas Gabor et al.
METHODS IN ECOLOGY AND EVOLUTION (2022)
Using maps of biogeographical ignorance to reveal the uncertainty in distributional data hidden in species distribution models
Geiziane Tessarolo et al.
ECOGRAPHY (2021)
Can habitat suitability estimated from MaxEnt predict colonizations and extinctions?
Simon Venne et al.
DIVERSITY AND DISTRIBUTIONS (2021)
Assessing the reliability of species distribution projections in climate change research
Luca Santini et al.
DIVERSITY AND DISTRIBUTIONS (2021)
Continental-scale 1 km hummingbird diversity derived from fusing point records with lateral and elevational expert information
Diego Ellis-Soto et al.
ECOGRAPHY (2021)
Creating virtual species to test species distribution models: the importance of landscape structure, dispersal and population processes
Liam Grimmett et al.
ECOGRAPHY (2021)
Small-scale species distribution model identifies restricted breeding habitat for an endemic island bird
R. D. Segal et al.
ANIMAL CONSERVATION (2021)
Comparing sample bias correction methods for species distribution modeling using virtual species
Richard Inman et al.
ECOSPHERE (2021)
Defining critical habitat for plant species with poor occurrence knowledge and identification of critical habitat networks
Sergei Volis et al.
BIODIVERSITY AND CONSERVATION (2021)
Static species distribution models in the marine realm: The case of baleen whales in the Southern Ocean
Ahmed El-Gabbas et al.
DIVERSITY AND DISTRIBUTIONS (2021)
WiBB: an integrated method for quantifying the relative importance of predictive variables
Qin Li et al.
ECOGRAPHY (2021)
SoilGrids 2.0: producing soil information for the globe with quantified spatial uncertainty
Laura Poggio et al.
SOIL (2021)
Deconstructing the abundance-suitability relationship in species distribution modelling
Alberto Jimenez-Valverde et al.
GLOBAL ECOLOGY AND BIOGEOGRAPHY (2021)
The effect of positional error on fine scale species distribution models increases for specialist species
Lukas Gabor et al.
ECOGRAPHY (2020)
Quality and usability challenges of global marine biodiversity databases: An example for marine mammal data
Vitezslav Moudry et al.
ECOLOGICAL INFORMATICS (2020)
Data Integration for Large-Scale Models of Species Distributions
Nick J. B. Isaac et al.
TRENDS IN ECOLOGY & EVOLUTION (2020)
An African bat in Europe, Plecotus gaisleri: Biogeographic and ecological insights from molecular taxonomy and Species Distribution Models
Leonardo Ancillotto et al.
ECOLOGY AND EVOLUTION (2020)
A modern method of multiple working hypotheses to improve inference in ecology
Scott W. Yanco et al.
ROYAL SOCIETY OPEN SCIENCE (2020)
Testing the ability of species distribution models to infer variable importance
Adam B. Smith et al.
ECOGRAPHY (2020)
Dealing with overprediction in species distribution models: How adding distance constraints can improve model accuracy
Poliana Mendes et al.
ECOLOGICAL MODELLING (2020)
Predicting geographic distributions of fishes in remote stream networks using maximum entropy modeling and landscape characterizations
Anna M. Holder et al.
ECOLOGICAL MODELLING (2020)
Fine scale waterbody data improve prediction of waterbird occurrence despite coarse species data
Petra Simova et al.
ECOGRAPHY (2019)
Incorporating fine-scale environmental heterogeneity into broad-extent models
Laura J. Graham et al.
METHODS IN ECOLOGY AND EVOLUTION (2019)
Testing methods in species distribution modelling using virtual species: what have we learnt and what are we missing?
Christine N. Meynard et al.
ECOGRAPHY (2019)
Bunching up the background betters bias in species distribution models
Julien Vollering et al.
ECOGRAPHY (2019)
Potential pitfalls in rescaling digital terrain model-derived attributes for ecological studies
Vitezslav Moudry et al.
ECOLOGICAL INFORMATICS (2019)
Combining multiple data sources in species distribution models while accounting for spatial dependence and overfitting with combined penalized likelihood maximization
Ian W. Renner et al.
METHODS IN ECOLOGY AND EVOLUTION (2019)
Integration of physiological knowledge into hybrid species distribution modelling to improve forecast of distributional shifts of tropical corals
Laura Rodriguez et al.
DIVERSITY AND DISTRIBUTIONS (2019)
Effects of simulated observation errors on the performance of species distribution models
Rui F. Fernandes et al.
DIVERSITY AND DISTRIBUTIONS (2019)
Standards for distribution models in biodiversity assessments
Miguel B. Araujo et al.
SCIENCE ADVANCES (2019)
Disentangling scale dependencies in species environmental niches and distributions
Katherine Mertes et al.
ECOGRAPHY (2018)
C-4 photosynthesis evolved in warm climates but promoted migration to cooler ones
Teera Watcharamongkol et al.
ECOLOGY LETTERS (2018)
Ensemble species distribution modelling with transformed suitability values
R. Kindt
ENVIRONMENTAL MODELLING & SOFTWARE (2018)
Competition-driven niche segregation on a landscape scale: Evidence for escaping from syntopy towards allotopy in two coexisting sibling passerine species
Jiri Reif et al.
JOURNAL OF ANIMAL ECOLOGY (2018)
Without quality presence-absence data, discrimination metrics such as TSS can be misleading measures of model performance
Boris Leroy et al.
JOURNAL OF BIOGEOGRAPHY (2018)
Modeling plant invasion on Mediterranean coastal landscapes: An integrative approach using remotely sensed data
Manuele Bazzichetto et al.
LANDSCAPE AND URBAN PLANNING (2018)
Statistical inference for home range overlap
Kevin Winner et al.
METHODS IN ECOLOGY AND EVOLUTION (2018)
Effects of spatial autocorrelation and imperfect detection on species distribution models
Jerome Guelat et al.
METHODS IN ECOLOGY AND EVOLUTION (2018)
A suite of global, cross-scale topographic variables for environmental and biodiversity modeling
Giuseppe Amatulli et al.
SCIENTIFIC DATA (2018)
ENVIREM: an expanded set of bioclimatic and topographic variables increases flexibility and improves performance of ecological niche modeling
Pascal O. Title et al.
ECOGRAPHY (2018)
A quantitative synthesis of the importance of variables used in MaxEnt species distribution models
Johanna Bradie et al.
JOURNAL OF BIOGEOGRAPHY (2017)
Sensitivity of fine-scale species distribution models to locational uncertainty in occurrence data across multiple sample sizes
Peter J. Mitchell et al.
METHODS IN ECOLOGY AND EVOLUTION (2017)
Niche asymmetry of vascular plants increases with elevation
Miroslav Dvorsky et al.
JOURNAL OF BIOGEOGRAPHY (2017)
The interplay of various sources of noise on reliability of species distribution models hinges on ecological specialisation
Alaaeldin Soultan et al.
PLOS ONE (2017)
Data Descriptor: Climatologies at high resolution for the earth's land surface areas
Dirk Nikolaus Karger et al.
SCIENTIFIC DATA (2017)
Which breeding bird categories should we use in models of species distribution?
Vitezslav Moudry et al.
ECOLOGICAL INDICATORS (2017)
sdm: a reproducible and extensible R platform for species distribution modelling
Babak Naimi et al.
ECOGRAPHY (2016)
Quantifying the value of user-level data cleaning for big data: A case study using mammal distribution models
Tomer Gueta et al.
ECOLOGICAL INFORMATICS (2016)
A synthesis of transplant experiments and ecological niche models suggests that range limits are often niche limits
Julie A. Lee-Yaw et al.
ECOLOGY LETTERS (2016)
Remotely Sensed High-Resolution Global Cloud Dynamics for Predicting Ecosystem and Biodiversity Distributions
Adam M. Wilson et al.
PLOS BIOLOGY (2016)
A global, remote sensing-based characterization of terrestrial habitat heterogeneity for biodiversity and ecosystem modelling
Mao-Ning Tuanmu et al.
GLOBAL ECOLOGY AND BIOGEOGRAPHY (2015)
Modelling species distributions with simulated virtual species
Vitezslav Moudry
JOURNAL OF BIOGEOGRAPHY (2015)
Effects of positional error on modeling species distributions: a perspective using presettlement land survey records
Stephen J. Tulowiecki et al.
PLANT ECOLOGY (2015)
Bias correction in species distribution models: pooling survey and collection data for multiple species
William Fithian et al.
METHODS IN ECOLOGY AND EVOLUTION (2015)
System for Automated Geoscientific Analyses (SAGA) v. 2.1.4
O. Conrad et al.
GEOSCIENTIFIC MODEL DEVELOPMENT (2015)
Are Species' Range Limits Simply Niche Limits Writ Large? A Review of Transplant Experiments beyond the Range
Anna L. Hargreaves et al.
AMERICAN NATURALIST (2014)
Where is positional uncertainty a problem for species distribution modelling?
Babak Naimi et al.
ECOGRAPHY (2014)
Environmental filters reduce the effects of sampling bias and improve predictions of ecological niche models
Sara Varela et al.
ECOGRAPHY (2014)
Mapping Species Distributions with MAXENT Using a Geographically Biased Sample of Presence Data: A Performance Assessment of Methods for Correcting Sampling Bias
Yoan Fourcade et al.
PLOS ONE (2014)
Terrain and vegetation structural influences on local avian species richness in two mixed-conifer forests
Jody C. Vogeler et al.
REMOTE SENSING OF ENVIRONMENT (2014)
Correction of location errors for presence-only species distribution models
Trevor J. Hefley et al.
METHODS IN ECOLOGY AND EVOLUTION (2014)
The importance of correcting for sampling bias in MaxEnt species distribution models
Stephanie Kramer-Schadt et al.
DIVERSITY AND DISTRIBUTIONS (2013)
New measures for assessing model equilibrium and prediction mismatch in species distribution models
A. Marcia Barbosa et al.
DIVERSITY AND DISTRIBUTIONS (2013)
Collinearity: a review of methods to deal with it and a simulation study evaluating their performance
Carsten F. Dormann et al.
ECOGRAPHY (2013)
A practical guide to MaxEnt for modeling species' distributions: what it does, and why inputs and settings matter
Cory Merow et al.
ECOGRAPHY (2013)
How to assess the prediction accuracy of species presence-absence models without absence data?
Wenkai Li et al.
ECOGRAPHY (2013)
Predicting species distributions for conservation decisions
Antoine Guisan et al.
ECOLOGY LETTERS (2013)
Using virtual species to study species distributions and model performance
Christine N. Meynard et al.
JOURNAL OF BIOGEOGRAPHY (2013)
Relative importance of climate, topography, and habitats for breeding wetland birds with different latitudinal distributions in the Czech Republic
Vitezslav Moudry et al.
APPLIED GEOGRAPHY (2013)
The effect of a gradual response to the environment on species distribution modeling performance
Christine N. Meynard et al.
ECOGRAPHY (2012)
Insights into the area under the receiver operating characteristic curve (AUC) as a discrimination measure in species distribution modelling
Alberto Jimenez-Valverde
GLOBAL ECOLOGY AND BIOGEOGRAPHY (2012)
Influence of positional accuracy, sample size and scale on modelling species distributions: a review
Vitezslav Moudry et al.
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE (2012)
Spinning a laser web: predicting spider distributions using LiDAR
K. T. Vierling et al.
ECOLOGICAL APPLICATIONS (2011)
The crucial role of the accessible area in ecological niche modeling and species distribution modeling
Narayani Barve et al.
ECOLOGICAL MODELLING (2011)
Spatial autocorrelation in predictors reduces the impact of positional uncertainty in occurrence data on species distribution modelling
Babak Naimi et al.
JOURNAL OF BIOGEOGRAPHY (2011)
Response of female beetles to LIDAR derived topographic variables in Eastern boreal mixedwood forests (Coleoptera, Carabidae)
Timothy T. Work et al.
ZOOKEYS (2011)
Assessing the utility of lidar remote sensing technology to identify mule deer winter habitat
Nicholas C. Coops et al.
CANADIAN JOURNAL OF REMOTE SENSING (2010)
The virtual ecologist approach: simulating data and observers
Damaris Zurell et al.
OIKOS (2010)
A protocol for data exploration to avoid common statistical problems
Alain F. Zuur et al.
METHODS IN ECOLOGY AND EVOLUTION (2010)
The art of modelling range-shifting species
Jane Elith et al.
METHODS IN ECOLOGY AND EVOLUTION (2010)
Species Distribution Models: Ecological Explanation and Prediction Across Space and Time
Jane Elith et al.
ANNUAL REVIEW OF ECOLOGY EVOLUTION AND SYSTEMATICS (2009)
Effects of species and habitat positional errors on the performance and interpretation of species distribution models
Patrick E. Osborne et al.
DIVERSITY AND DISTRIBUTIONS (2009)
Selecting pseudo-absence data for presence-only distribution modeling: How far should you stray from what you know?
Jeremy VanDerWal et al.
ECOLOGICAL MODELLING (2009)
Methods to quantify variable importance: implications for the analysis of noisy ecological data
Kim Murray et al.
ECOLOGY (2009)
Assessing biodiversity by remote sensing in mountainous terrain: the potential of LiDAR to predict forest beetle assemblages
Joerg Mueller et al.
JOURNAL OF APPLIED ECOLOGY (2009)
Modeling of species distributions with Maxent:: new extensions and a comprehensive evaluation
Steven J. Phillips et al.
ECOGRAPHY (2008)
Sensitivity of species-distribution models to error, bias, and model design: An application to resource selection functions for woodland caribou
Chris J. Johnson et al.
ECOLOGICAL MODELLING (2008)
AUC: a misleading measure of the performance of predictive distribution models
Jorge M. Lobo et al.
GLOBAL ECOLOGY AND BIOGEOGRAPHY (2008)
The influence of spatial errors in species occurrence data used in distribution models
Catherine H. Graham et al.
JOURNAL OF APPLIED ECOLOGY (2008)
Predicting tree mortality from growth data: how virtual ecologists can help real ecologists
Jan Wunder et al.
JOURNAL OF ECOLOGY (2008)
Species distribution models and ecological theory: A critical assessment and some possible new approaches
Mike Austin
ECOLOGICAL MODELLING (2007)
Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS)
Omri Allouche et al.
JOURNAL OF APPLIED ECOLOGY (2006)
Evaluation of statistical models used for predicting plant species distributions: Role of artificial data and theory
M. P. Austin et al.
ECOLOGICAL MODELLING (2006)
Maximum entropy modeling of species geographic distributions
SJ Phillips et al.
ECOLOGICAL MODELLING (2006)
The evaluation strip: A new and robust method for plotting predicted responses from species distribution models
J Elith et al.
ECOLOGICAL MODELLING (2005)