Generalised Additive Models and Random Forest Approach as effective methods for predictive species density and functional species richness

Cuckoo density as a predictor of functional and phylogenetic species richness in the predictive modelling approach: Extension of Tryjanowski and Morelli (2015) paradigm in the analytical context

(2018) Jakub Z. Kosicki et al.   ECOLOGICAL INDICATORS

Are Landscape Configuration Metrics Worth Including When Predicting Specialist and Generalist Bird Species Density? A Case of the Generalised Additive Model Approach

(2017) Jakub Z. Kosicki   ENVIRONMENTAL MODELING & ASSESSMENT

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

Biodiversity moves beyond counting species

(2017) Rachel Cernansky   NATURE

Investigation of general indicators influencing on forest fire and its susceptibility modeling using different data mining techniques

(2016) Zohre Sadat Pourtaghi et al.   ECOLOGICAL INDICATORS

Comparing species distributions modelled from occurrence data and from expert-based range maps. Implication for predicting range shifts with climate change

(2016) Yoan Fourcade   Ecological Informatics

Selecting predictors to maximize the transferability of species distribution models: lessons from cross-continental plant invasions

(2016) Blaise Petitpierre et al.   GLOBAL ECOLOGY AND BIOGEOGRAPHY

Threshold-dependence as a desirable attribute for discrimination assessment: implications for the evaluation of species distribution models

(2014) Alberto Jiménez-Valverde   BIODIVERSITY AND CONSERVATION

Accounting for spatially biased sampling effort in presence-only species distribution modelling

(2014) Jessica Stolar et al.   DIVERSITY AND DISTRIBUTIONS

Application of random forest algorithm for studying habitat selection of colonial herons and egrets in human-influenced landscapes

(2014) Luis Carrasco et al.   ECOLOGICAL RESEARCH

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

Improving species distribution models: the value of data on abundance

(2014) Christine Howard et al.   Methods in Ecology and Evolution

On evaluating species distribution models with random background sites in place of absences when test presences disproportionately sample suitable habitat

(2013) Adam B. Smith   DIVERSITY AND DISTRIBUTIONS

Predicting top predator habitats in the Southwest Indian Ocean

(2013) Laura Mannocci et al.   ECOGRAPHY

Where is positional uncertainty a problem for species distribution modelling?

(2013) Babak Naimi et al.   ECOGRAPHY

Predicting species distributions for conservation decisions

(2013) Antoine Guisan et al.   ECOLOGY LETTERS

Habitat prediction and knowledge extraction for spawning European grayling (Thymallus thymallus L.) using a broad range of species distribution models

(2013) Shinji Fukuda et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Phylogenetic patterns of climatic, habitat and trophic niches in a European avian assemblage

(2013) Peter B. Pearman et al.   GLOBAL ECOLOGY AND BIOGEOGRAPHY

Explaining Local-Scale Species Distributions: Relative Contributions of Spatial Autocorrelation and Landscape Heterogeneity for an Avian Assemblage

(2013) Brady J. Mattsson et al.   PLoS One

Predicting cetacean and seabird habitats across a productivity gradient in the South Pacific gyre

(2013) Laura Mannocci et al.   PROGRESS IN OCEANOGRAPHY

Collinearity: a review of methods to deal with it and a simulation study evaluating their performance

(2012) Carsten F. Dormann et al.   ECOGRAPHY

The usefulness of elevation as a predictor variable in species distribution modelling

(2012) Anouschka R. Hof et al.   ECOLOGICAL MODELLING

How can statistical models help to determine driving factors of landslides?

(2012) Peter Vorpahl et al.   ECOLOGICAL MODELLING

Modeling spatial patterns of fire occurrence in Mediterranean Europe using Multiple Regression and Random Forest

(2012) Sandra Oliveira et al.   FOREST ECOLOGY AND MANAGEMENT

High density biomass estimation for wetland vegetation using WorldView-2 imagery and random forest regression algorithm

(2012) Onisimo Mutanga et al.   International Journal of Applied Earth Observation and Geoinformation

Comparison of five modelling techniques to predict the spatial distribution and abundance of seabirds

(2011) Steffen Oppel et al.   BIOLOGICAL CONSERVATION

Use of niche models in invasive species risk assessments

(2011) A. Jiménez-Valverde et al.   BIOLOGICAL INVASIONS

Does the interpolation accuracy of species distribution models come at the expense of transferability?

(2011) Risto K. Heikkinen et al.   ECOGRAPHY

Application of a Random Forest algorithm to predict spatial distribution of the potential yield of Ruditapes philippinarum in the Venice lagoon, Italy

(2011) Simone Vincenzi et al.   ECOLOGICAL MODELLING

Predicting the Distribution and Ecological Niche of Unexploited Snow Crab (Chionoecetes opilio) Populations in Alaskan Waters: A First Open-Access Ensemble Model

(2011) S. M. Hardy et al.   INTEGRATIVE AND COMPARATIVE BIOLOGY

Predicting range shifts of northern bird species: Influence of modelling technique and topography

(2010) Raimo Virkkala et al.   ACTA OECOLOGICA-INTERNATIONAL JOURNAL OF ECOLOGY

The uncertain nature of absences and their importance in species distribution modelling

(2010) Jorge M. Lobo et al.   ECOGRAPHY

Ensemble modelling of species distribution: the effects of geographical and environmental ranges

(2010) Gael Grenouillet et al.   ECOGRAPHY

Does afforestation increase bird nest predation risk in surrounding farmland?

(2010) Luís Reino et al.   FOREST ECOLOGY AND MANAGEMENT

Application of species distribution models and conservation planning software to the design of a reserve network for the riverine fishes of northeastern Mesoamerica

(2010) PETER C. ESSELMAN et al.   FRESHWATER BIOLOGY

Weak climatic associations among British plant distributions

(2010) Daniel S. Chapman   GLOBAL ECOLOGY AND BIOGEOGRAPHY

Comparing California Current cetacean–habitat models developed using in situ and remotely sensed sea surface temperature data

(2010) EA Becker et al.   MARINE ECOLOGY PROGRESS SERIES

Variable selection using random forests

(2010) Robin Genuer et al.   PATTERN RECOGNITION LETTERS

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

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

Using species distribution models to predict new occurrences for rare plants

(2009) John N. Williams et al.   DIVERSITY AND DISTRIBUTIONS

Do they? How do they? WHY do they differ? On finding reasons for differing performances of species distribution models

(2009) Jane Elith et al.   ECOGRAPHY

Biodiversity in a complex world: consolidation and progress in functional biodiversity research

(2009) Helmut Hillebrand et al.   ECOLOGY LETTERS

A comparison of regression tree ensembles: Predicting Sirex noctilio induced water stress in Pinus patula forests of KwaZulu-Natal, South Africa

(2009) R. Ismail et al.   International Journal of Applied Earth Observation and Geoinformation

Species traits affect the performance of species distribution models for plants in southern California

(2009) Alexandra D. Syphard et al.   JOURNAL OF VEGETATION SCIENCE

Effects of sample size on the performance of species distribution models

(2008) M. S. Wisz et al.   DIVERSITY AND DISTRIBUTIONS

ENVIRONMENTAL NICHE EQUIVALENCY VERSUS CONSERVATISM: QUANTITATIVE APPROACHES TO NICHE EVOLUTION

(2008) Dan L. Warren et al.   EVOLUTION

Soil organic carbon concentrations and stocks on Barro Colorado Island — Digital soil mapping using Random Forests analysis

(2008) R. Grimm et al.   GEODERMA

A working guide to boosted regression trees

(2008) J. Elith et al.   JOURNAL OF ANIMAL ECOLOGY

Opening the climate envelope reveals no macroscale associations with climate in European birds

(2008) C. M. Beale et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

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

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