Evaluation of consensus methods in predictive species distribution modelling
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[1] Miska Luoto,et al. Modelling the occurrence of threatened plant species in taiga landscapes: methodological and ecological perspectives , 2008 .
[2] L. Gibson,et al. Dealing with uncertain absences in habitat modelling: a case study of a rare ground‐dwelling parrot , 2007 .
[3] M. Luoto,et al. Biotic interactions improve prediction of boreal bird distributions at macro‐scales , 2007 .
[4] D. R. Cutler,et al. Utah State University From the SelectedWorks of , 2017 .
[5] W. Thuiller. Biodiversity: Climate change and the ecologist , 2007, Nature.
[6] Jane Elith,et al. Predicting species distributions from museum and herbarium records using multiresponse models fitted with multivariate adaptive regression splines , 2007 .
[7] J. Rodríguez,et al. The application of predictive modelling of species distribution to biodiversity conservation , 2007 .
[8] Kieran M. O'Connor,et al. Real-time flow forecasting in the absence of quantitative precipitation forecasts: A multi-model approach , 2007 .
[9] Mark New,et al. Ensemble forecasting of species distributions. , 2007, Trends in ecology & evolution.
[10] M. Sykes,et al. Methods and uncertainties in bioclimatic envelope modelling under climate change , 2006 .
[11] D. R. Cutler,et al. Effects of sample survey design on the accuracy of classification tree models in species distribution models , 2006 .
[12] M. Zappa,et al. Are niche‐based species distribution models transferable in space? , 2006 .
[13] R. Cowling,et al. Predicting patterns of plant species richness in megadiverse South Africa , 2006 .
[14] M. Araújo,et al. Climate warming and the decline of amphibians and reptiles in Europe , 2006 .
[15] P. Hernandez,et al. The effect of sample size and species characteristics on performance of different species distribution modeling methods , 2006 .
[16] M. Araújo,et al. Five (or so) challenges for species distribution modelling , 2006 .
[17] T. Dawson,et al. Model‐based uncertainty in species range prediction , 2006 .
[18] S. Hartley,et al. Quantifying uncertainty in the potential distribution of an invasive species: climate and the Argentine ant. , 2006, Ecology letters.
[19] D. White,et al. Predicting climate‐induced range shifts: model differences and model reliability , 2006 .
[20] Jane Elith,et al. Error and uncertainty in habitat models , 2006 .
[21] A. Lehmann,et al. Using Niche‐Based Models to Improve the Sampling of Rare Species , 2006, Conservation biology : the journal of the Society for Conservation Biology.
[22] A. Townsend Peterson,et al. Novel methods improve prediction of species' distributions from occurrence data , 2006 .
[23] Valentí Rull,et al. Unexpected biodiversity loss under global warming in the neotropical Guayana Highlands: a preliminary appraisal , 2006 .
[24] A. Prasad,et al. Newer Classification and Regression Tree Techniques: Bagging and Random Forests for Ecological Prediction , 2006, Ecosystems.
[25] A. Márcia Barbosa,et al. Modelling the distribution of Bonelli's eagle in Spain: implications for conservation planning , 2005 .
[26] M. Araújo,et al. Validation of species–climate impact models under climate change , 2005 .
[27] W. Thuiller,et al. Predicting species distribution: offering more than simple habitat models. , 2005, Ecology letters.
[28] Jane Elith,et al. The evaluation strip: A new and robust method for plotting predicted responses from species distribution models , 2005 .
[29] M. Araújo,et al. Reducing uncertainty in projections of extinction risk from climate change , 2005 .
[30] M. Sykes,et al. Climate change threats to plant diversity in Europe. , 2005, Proceedings of the National Academy of Sciences of the United States of America.
[31] J. Elith,et al. Sensitivity of conservation planning to different approaches to using predicted species distribution data , 2005 .
[32] Marco Vighi,et al. ALARM: Assessing LArge-scale environmental Risks for biodiversity with tested Methods , 2005 .
[33] W. Thuiller. Patterns and uncertainties of species' range shifts under climate change , 2004 .
[34] M. Araújo,et al. An evaluation of methods for modelling species distributions , 2004 .
[35] S. Rushton,et al. Predicting the distribution of ground beetle species (Coleoptera, Carabidae) in Britain using land cover variables. , 2004, Journal of environmental management.
[36] J. Svenning,et al. Potential impact of climatic change on the distribution of forest herbs in Europe , 2004 .
[37] Javier Seoane,et al. Predicting the distribution of four species of raptors (Aves: Accipitridae) in southern Spain: statistical models work better than existing maps , 2004 .
[38] Jerald B. Johnson,et al. Model selection in ecology and evolution. , 2004, Trends in ecology & evolution.
[39] R. Benestad. Tentative probabilistic temperature scenarios for northern Europe , 2004 .
[40] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[41] Bette A. Loiselle,et al. Avoiding Pitfalls of Using Species Distribution Models in Conservation Planning , 2003 .
[42] W. Thuiller. BIOMOD – optimizing predictions of species distributions and projecting potential future shifts under global change , 2003 .
[43] N. Gotelli. Predicting Species Occurrences: Issues of Accuracy and Scale , 2003 .
[44] S. Lavorel,et al. Generalized models vs. classification tree analysis: Predicting spatial distributions of plant species at different scales , 2003 .
[45] David R. Anderson,et al. Model selection and multimodel inference : a practical information-theoretic approach , 2003 .
[46] G. von Heijne,et al. Prediction of partial membrane protein topologies using a consensus approach , 2002, Protein science : a publication of the Protein Society.
[47] Helen M. Regan,et al. Mapping epistemic uncertainties and vague concepts in predictions of species distribution , 2002 .
[48] M. Austin. Spatial prediction of species distribution: an interface between ecological theory and statistical modelling , 2002 .
[49] Ari Venäläinen,et al. Meteorological data for agricultural applications , 2002 .
[50] Joshua Ginsburg,et al. The Application of IUCN Red List Criteria at Regional Levels , 2002 .
[51] Allan W. Gregory,et al. Testing for Forecast Consensus , 2001 .
[52] G von Heijne,et al. Consensus predictions of membrane protein topology , 2000, FEBS letters.
[53] Antoine Guisan,et al. Predictive habitat distribution models in ecology , 2000 .
[54] S. Manel,et al. Alternative methods for predicting species distribution: an illustration with Himalayan river birds , 1999 .
[55] G. Ridgeway. The State of Boosting ∗ , 1999 .
[56] John Bell,et al. A review of methods for the assessment of prediction errors in conservation presence/absence models , 1997, Environmental Conservation.
[57] P. Laplace. Théorie analytique des probabilités , 1995 .
[58] A climatic model for location of plant species in Florida, U.S.A. , 1993 .
[59] John C. Russ,et al. The Image Processing Handbook , 2015 .
[60] J. Freidman,et al. Multivariate adaptive regression splines , 1991 .
[61] A. O. Nicholls,et al. Measurement of the realized qualitative niche: environmental niches of five Eucalyptus species , 1990 .
[62] J A Swets,et al. Measuring the accuracy of diagnostic systems. , 1988, Science.
[63] Stephen K. McNees. Consensus forecasts: tyranny of the majority? , 1987 .
[64] T. Ahti,et al. Vegetation zones and their sections in northwestern Europe , 1968 .
[65] F. Sanders. On Subjective Probability Forecasting , 1963 .