Climate-based empirical models show biased predictions of butterfly communities along environmental gradients
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L. Maiorano | A. Guisan | Jean-Nicolas Pradervand | A. Dubuis | L. Pellissier | J. Pottier | Jean‐Nicolas Pradervand
[1] A. Guisan,et al. Predicting spatial patterns of plant species richness: a comparison of direct macroecological and species stacking modelling approaches , 2011 .
[2] L. Maiorano,et al. The future of terrestrial mammals in the Mediterranean basin under climate change , 2011, Philosophical Transactions of the Royal Society B: Biological Sciences.
[3] J. Hanspach,et al. Geographical patterns in prediction errors of species distribution models , 2011 .
[4] Antoine Guisan,et al. SESAM – a new framework integrating macroecological and species distribution models for predicting spatio‐temporal patterns of species assemblages , 2011 .
[5] J. Peñuelas,et al. Determinants of species richness in generalist and specialist Mediterranean butterflies: the negative synergistic forces of climate and habitat change , 2011 .
[6] C. Ricotta,et al. Accounting for uncertainty when mapping species distributions: The need for maps of ignorance , 2011 .
[7] J. Lobo,et al. How well does presence‐only‐based species distribution modelling predict assemblage diversity? A case study of the Tenerife flora , 2011 .
[8] N. Zimmermann,et al. Impacts of climate change on Swiss biodiversity: An indicator taxa approach , 2011 .
[9] Antoine Guisan,et al. Species distribution models reveal apparent competitive and facilitative effects of a dominant species on the distribution of tundra plants , 2010 .
[10] Miguel B. Araújo,et al. Do community‐level models describe community variation effectively? , 2010 .
[11] Johan Ekroos,et al. Homogenization of lepidopteran communities in intensively cultivated agricultural landscapes , 2010 .
[12] D. Gutiérrez,et al. The contributions of topoclimate and land cover to species distributions and abundance: fine-resolution tests for a mountain butterfly fauna , 2010 .
[13] J. Lobo,et al. Deriving the Species Richness Distribution of Geotrupinae (Coleoptera: Scarabaeoidea) in Mexico from the Overlap of Individual Model Predictions , 2010, Environmental entomology.
[14] P. Vittoz,et al. Land use improves spatial predictions of mountain plant abundance but not presence-absence , 2009 .
[15] M. Araújo,et al. BIOMOD – a platform for ensemble forecasting of species distributions , 2009 .
[16] M. Luoto,et al. Species traits explain recent range shifts of Finnish butterflies , 2009 .
[17] Mathieu Marmion,et al. Evaluation of consensus methods in predictive species distribution modelling , 2009 .
[18] Eduardo Pineda,et al. Assessing the accuracy of species distribution models to predict amphibian species richness patterns. , 2009, The Journal of animal ecology.
[19] Ingolf Kühn,et al. Climate change can cause spatial mismatch of trophically interacting species. , 2008, Ecology.
[20] T. Tscharntke,et al. Agricultural landscapes with organic crops support higher pollinator diversity , 2008 .
[21] R. Merrill,et al. Combined effects of climate and biotic interactions on the elevational range of a phytophagous insect. , 2008, The Journal of animal ecology.
[22] Maj Rundlöf,et al. Local and landscape effects of organic farming on butterfly species richness and abundance , 2007 .
[23] M. Araújo,et al. The importance of biotic interactions for modelling species distributions under climate change , 2007 .
[24] J. Blackard,et al. Journal of Applied , 2006 .
[25] Richard Fox,et al. Direct and indirect effects of climate and habitat factors on butterfly diversity. , 2007, Ecology.
[26] Mark New,et al. Ensemble forecasting of species distributions. , 2007, Trends in ecology & evolution.
[27] L. Maiorano,et al. Changes in land-use/land-cover patterns in Italy and their implications for biodiversity conservation , 2007, Landscape Ecology.
[28] J. Kerr,et al. Contrasting spatial and temporal global change impacts on butterfly species richness during the 20th century , 2006 .
[29] Chris van Swaay,et al. Biotope Use and Trends of European Butterflies , 2006, Journal of Insect Conservation.
[30] Antoine Guisan,et al. Spatial modelling of biodiversity at the community level , 2006 .
[31] A. Townsend Peterson,et al. Novel methods improve prediction of species' distributions from occurrence data , 2006 .
[32] M. Kitahara,et al. Biodiversity and community structure of temperate butterfly species within a gradient of human disturbance: An analysis based on the concept of generalist vs. Specialist strategies , 1994, Researches on Population Ecology.
[33] 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.
[34] J. Askling,et al. Landscape effects on butterfly assemblages in an agricultural region , 2004 .
[35] S. Herrando,et al. Butterfly species richness in the north‐west Mediterranean Basin: the role of natural and human‐induced factors , 2004 .
[36] C. Stevens,et al. Impact of Nitrogen Deposition on the Species Richness of Grasslands , 2004, Science.
[37] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[38] R. Menéndez,et al. Stability of butterfly assemblages in relation to the level of numerical resolution and altitude , 1998, Biodiversity & Conservation.
[39] B. A. Hawkins,et al. Water–energy balance and the geographic pattern of species richness of western Palearctic butterflies , 2003 .
[40] Eric E. Porter,et al. Does Herbivore Diversity Depend on Plant Diversity? The Case of California Butterflies , 2002, The American Naturalist.
[41] A. Hirzel,et al. Which is the optimal sampling strategy for habitat suitability modelling , 2002 .
[42] J. Kerr,et al. Remotely sensed habitat diversity predicts butterfly species richness and community similarity in Canada , 2001, Proceedings of the National Academy of Sciences of the United States of America.
[43] J. Friedman. Special Invited Paper-Additive logistic regression: A statistical view of boosting , 2000 .
[44] G. Cumming. Using habitat models to map diversity: pan‐African species richness of ticks (Acari: Ixodida) , 2000 .
[45] R. Dennis,et al. Targeting squares for survey: predicting species richness and incidence of species for a butterfly atlas , 1999 .
[46] D. Pearson,et al. The influence of spatial scale on cross‐taxon congruence patterns and prediction accuracy of species richness , 1999 .
[47] N. Zimmermann,et al. Predictive mapping of alpine grasslands in Switzerland: Species versus community approach , 1999 .
[48] Lalit Kumar,et al. Modelling Topographic Variation in Solar Radiation in a GIS Environment , 1997, Int. J. Geogr. Inf. Sci..
[49] C. Boggs,et al. Community Composition in Mountain Ecosystems: Climatic Determinants of Montane Butterfly Distributions , 1997 .
[50] M. Morris,et al. Monitoring butterflies for ecology and conservation , 1993 .
[51] S. Pickett,et al. The Application of the Ecological Gradient Paradigm to the Study of Urban Effects , 1993 .
[52] Paul R. Ehrlich,et al. Population biology of checkerspot butterflies and the preservation of global biodiversity , 1992 .
[53] J A Swets,et al. Measuring the accuracy of diagnostic systems. , 1988, Science.
[54] J. Turner,et al. Does Solar Energy Control Organic Diversity? Butterflies, Moths and the British Climate , 1987 .
[55] P. Raven,et al. BUTTERFLIES AND PLANTS: A STUDY IN COEVOLUTION , 1964 .