How much do we overestimate future local extinction rates when restricting the range of occurrence data in climate suitability models

M. Barbet-Massin (barbet@mnhn.fr) and F. Jiguet, Muse´um National d’Histoire Naturelle, UMR 7204 MNHN-CNRS-UPMC, Centre deRecherches sur la Biologie des Populations d’Oiseaux, 55 Rue Buffon, FR-75005 Paris, France. W. Thuiller, Laboratoire d’Ecologie Alpine,UMR-CNRS 5553, Univ. Joseph Fourier, BP 53, FR-38041 Grenoble Cedex 9, France.Climate suitability models are used to make projections of species’ potential future distribution under climate change.When studying the species richness with such modeling methods, the extent of the study range is of particularimportance, especially when the full range of occurrence is not considered for some species, often because of geographicalor political limits. Here we examine biases induced by the use of range-restricted occurrence data on predicted changes inspecies richness and predicted extinction rates, at study area margins. We compared projections of future suitable climatespace for 179 bird species breeding in Iberia and North Africa (27 of them breeding only in North Africa thoughpotential colonizers in Europe), using occurrence data from the full Western Palaearctic (WP) species range and from theoften-considered European-restricted range. Current and future suitable climatic spaces were modeled using an ensembleforecast technique applied to five general circulation models and three climate scenarios, with eight climatic variables andeight modeling techniques. The use of range-restricted compared to the full WP occurrence data of a species led to anunderestimate of its suitable climatic space. The projected changes in species richness across the focus area (Iberia) variedconsiderably according to the occurrence data we used, with higher local extinction rates with European-restricted data(on average 38 vs 12% for WP data). Modeling results for species currently breeding only in North Africa revealedpotential colonization of the Iberian Peninsula (from a climatic point of view), which highlights the necessity to considerspecies outside the focus area if interested in forecasted changes in species richness. Therefore, the modeling of currentand future species richness can lead to misleading conclusions when data from a restricted range of occurrence is used.Consequently, climate suitability models should use occurrence data from the complete distribution range of species, orat least within biogeographical areas.

[1]  Y. Malhi Extinction Risk from Climate Change in Tropical Forests , 2012 .

[2]  B. Erasmus,et al.  Ensemble models predict Important Bird Areas in southern Africa will become less effective for conserving endemic birds under climate change. , 2009 .

[3]  M. Araújo,et al.  BIOMOD – a platform for ensemble forecasting of species distributions , 2009 .

[4]  F. Jiguet,et al.  Potential impacts of climate change on the winter distribution of Afro-Palaearctic migrant passerines , 2009, Biology Letters.

[5]  Wilfried Thuiller,et al.  Reopening the climate envelope reveals macroscale associations with climate in European birds , 2009, Proceedings of the National Academy of Sciences.

[6]  Mathieu Marmion,et al.  Evaluation of consensus methods in predictive species distribution modelling , 2009 .

[7]  Steven J. Phillips,et al.  Sample selection bias and presence-only distribution models: implications for background and pseudo-absence data. , 2009, Ecological applications : a publication of the Ecological Society of America.

[8]  A. Gimona,et al.  Opening the climate envelope reveals no macroscale associations with climate in European birds , 2008, Proceedings of the National Academy of Sciences.

[9]  R. Real,et al.  AUC: a misleading measure of the performance of predictive distribution models , 2008 .

[10]  B. Huntley,et al.  Potential Impacts of Climatic Change on European Breeding Birds , 2008, PloS one.

[11]  A. MØller,et al.  Genetic similarity, breeding distribution range and sexual selection , 2008, Journal of evolutionary biology.

[12]  W. Thuiller Biodiversity: Climate change and the ecologist , 2007, Nature.

[13]  F. Jiguet,et al.  Climate envelope, life history traits and the resilience of birds facing global change , 2007 .

[14]  A. Peterson,et al.  Evidence of climatic niche shift during biological invasion. , 2007, Ecology letters.

[15]  Mark New,et al.  Ensemble forecasting of species distributions. , 2007, Trends in ecology & evolution.

[16]  M. Araújo,et al.  Climate warming and the decline of amphibians and reptiles in Europe , 2006 .

[17]  A. Barbosa,et al.  Northward expansion of a desert bird: effects of climate change? , 2006 .

[18]  Brian Huntley,et al.  Potential impacts of climatic change upon geographical distributions of birds , 2006 .

[19]  T. D. Mitchell,et al.  Ecosystem Service Supply and Vulnerability to Global Change in Europe , 2005, Science.

[20]  J. Patz,et al.  Impact of regional climate change on human health , 2005, Nature.

[21]  W. Thuiller,et al.  Predicting species distribution: offering more than simple habitat models. , 2005, Ecology letters.

[22]  T. Dawson,et al.  Selecting thresholds of occurrence in the prediction of species distributions , 2005 .

[23]  M. Araújo,et al.  Presence-absence versus presence-only modelling methods for predicting bird habitat suitability , 2004 .

[24]  S. Lavorel,et al.  Effects of restricting environmental range of data to project current and future species distributions , 2004 .

[25]  T. Dawson,et al.  Predicting the impacts of climate change on the distribution of species: are bioclimate envelope models useful? , 2003 .

[26]  S. Schneider,et al.  Fingerprints of global warming on wild animals and plants , 2003, Nature.

[27]  G. Yohe,et al.  A globally coherent fingerprint of climate change impacts across natural systems , 2003, Nature.

[28]  R. Leemans,et al.  Assessing effects of forecasted climate change on the diversity and distribution of European higher plants for 2050 , 2002 .

[29]  O. Hoegh‐Guldberg,et al.  Ecological responses to recent climate change , 2002, Nature.

[30]  R. Shaw,et al.  Range shifts and adaptive responses to Quaternary climate change. , 2001, Science.

[31]  V. Sánchez‐Cordero,et al.  Conservatism of ecological niches in evolutionary time , 1999, Science.

[32]  John Bell,et al.  A review of methods for the assessment of prediction errors in conservation presence/absence models , 1997, Environmental Conservation.

[33]  W. Hagemeijer,et al.  The EBCC Atlas of European Breeding Birds , 1997 .

[34]  T. Root,et al.  Environmental Factors Associated with Avian Distributional Boundaries , 1988 .