Dataset.

Forecasting Large-Scale Habitat Suitability of European Bustards under Climate Change: The Role of Environmental and Geographic Variables

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/128941
Digital.CSIC. Repositorio Institucional del CSIC
  • Estrada, Alba
  • Delgado, M. Paula
  • Arroyo, Beatriz
  • Traba, Juan
  • Morales, Manuel B.
Distribution of the great and the little bustard in the study area that comprises the majority of Europe, North Africa and Southwest Asia according to Hagemeijer & Blair (1997), Eken & Magnin (2000), Alonso et al. (2005) and Palacin & Alonso (2009). Regarding climatic variables, raw temperature and precipitation data were extracted from WorldClim (http://www.worldclim.org/) according to the Climgen Statistical Downscaling for the ‘current’ period 1961-1990 and for the future periods 2050 and 2080, the latter periods according to the emission scenario A1B in three different general circulation models (GCMs): CGCM31, ECHAM5 and HADCM3. We calculated three bioclimatic variables: cumulative annual rainfall, temperature range between July and January, and the mean temperature during the reproductive period for both species, i.e. between April and July. We also obtained the mean slope of the UTM cell (derived from GLOBE et al. 1999) and the percentage of dry crops and pasturelands in each cell (obtained from the USGS Land Cover, http://edc2.usgs.gov/glcc/glcc.php). Additionally, we included the mean value of human population density (obtained from ORNL 2009)., Distribution of the great and the little bustard and values of environmental and geographic variables in each 50 km x 50 km UTM cell of the Western Palearctic., Peer reviewed
 
DOI: http://hdl.handle.net/10261/128941
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/128941

HANDLE: http://hdl.handle.net/10261/128941
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/128941
 
Ver en: http://hdl.handle.net/10261/128941
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/128941

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/139994
Artículo científico (article). 2016

FORECASTING LARGE-SCALE HABITAT SUITABILITY OF EUROPEAN BUSTARDS UNDER CLIMATE CHANGE: THE ROLE OF ENVIRONMENTAL AND GEOGRAPHIC VARIABLES

Digital.CSIC. Repositorio Institucional del CSIC
  • Estrada, Alba
  • Delgado, M. Paula
  • Arroyo, Beatriz
  • Traba, Juan
  • Morales, Manuel B.
We modelled the distribution of two vulnerable steppe birds, Otis tarda and Tetrax tetrax, in the Western Palearctic and projected their suitability up to the year 2080. We performed two types of models for each species: one that included environmental and geographic variables (space-included model) and a second one that only included environmental variables (space-excluded model). Our assumption was that ignoring geographic variables in the modelling procedure may result in inaccurate forecasting of species distributions. On the other hand, the inclusion of geographic variables may generate an artificial constraint on future projections. Our results show that space-included models performed better than space-excluded models. While distribution of suitable areas for T. tetrax in the future was approximately the same as at present in the space-included model, the space-excluded model predicted a pronounced geographic change of suitable areas for this species. In the case of O. tarda, the space-included model showed that many areas of current presence shifted to low or medium suitability in the future, whereas a northward expansion of intermediate suitable areas was predicted by the space-excluded one. According to the best models, current distribution of these species can restrict future distribution, probably due to dispersal constraints and site fidelity. Species ranges would be expected to shift gradually over the studied time period and, therefore, we consider it unlikely that most of the current distribution of these species in southern Europe will disappear in less than one hundred years. Therefore, populations currently occupying suitable areas should be a priority for conservation policies. Our results also show that climate-only models may have low explanatory power, and could benefit from adjustments using information on other environmental variables and biological traits; if the latter are not available, including the geographic predictor may improve the reliability of predicted results., AE has a contract funded by the project 1098/2014 (Organismo Autónomo Parques Nacionales, Spain). This paper is a contribution to CGL2009-13029/BOS of the Spanish Ministry of Science, as well as to the REMEDINAL 3 (S2013/MAE-2719) network of the CAM. This work was partly supported by the Project CGL2009/11316/BOS (Spanish Ministry of Science and FEDER)., Peer reviewed




Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/128941
Dataset. 2016

FORECASTING LARGE-SCALE HABITAT SUITABILITY OF EUROPEAN BUSTARDS UNDER CLIMATE CHANGE: THE ROLE OF ENVIRONMENTAL AND GEOGRAPHIC VARIABLES

Digital.CSIC. Repositorio Institucional del CSIC
  • Estrada, Alba
  • Delgado, M. Paula
  • Arroyo, Beatriz
  • Traba, Juan
  • Morales, Manuel B.
Distribution of the great and the little bustard in the study area that comprises the majority of Europe, North Africa and Southwest Asia according to Hagemeijer & Blair (1997), Eken & Magnin (2000), Alonso et al. (2005) and Palacin & Alonso (2009). Regarding climatic variables, raw temperature and precipitation data were extracted from WorldClim (http://www.worldclim.org/) according to the Climgen Statistical Downscaling for the ‘current’ period 1961-1990 and for the future periods 2050 and 2080, the latter periods according to the emission scenario A1B in three different general circulation models (GCMs): CGCM31, ECHAM5 and HADCM3. We calculated three bioclimatic variables: cumulative annual rainfall, temperature range between July and January, and the mean temperature during the reproductive period for both species, i.e. between April and July. We also obtained the mean slope of the UTM cell (derived from GLOBE et al. 1999) and the percentage of dry crops and pasturelands in each cell (obtained from the USGS Land Cover, http://edc2.usgs.gov/glcc/glcc.php). Additionally, we included the mean value of human population density (obtained from ORNL 2009)., Distribution of the great and the little bustard and values of environmental and geographic variables in each 50 km x 50 km UTM cell of the Western Palearctic., Peer reviewed




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