Marshall, L.; Department of Geography, University of Namur, Namur, Belgium, Naturalis Biodiversity Center, Leiden, Netherlands
Biesmeijer, J. C.; Naturalis Biodiversity Center, Leiden, Netherlands, Institute of Environmental Sciences (CML), Leiden University, Leiden, Netherlands
Rasmont, P.; Laboratoire de Zoologie, Research institute of Biosciences, University of Mons, Mons, Belgium
Vereecken, N. J.; Agroecology and Pollination Group, Landscape Ecology & Plant Production Systems (LEPPS/EIB), Université Libre de Bruxelles (ULB), Brussels, Belgium
Dvorak, L.; Municipal Museum Mariánské Lázně, Mariánské Lázně, Czech Republic
Fitzpatrick, U.; National Biodiversity Data Centre, Beechfield House, Carriganore WIT West Campus, County Waterford, Ireland
Francis, Frédéric ; Université de Liège - ULiège > Agronomie, Bio-ingénierie et Chimie (AgroBioChem) > Gestion durable des bio-agresseurs
Neumayer, J.; Independent Researcher, Elixhausen, Austria
Ødegaard, F.; Norwegian Institute for Nature Research – NINA, Trondheim, Norway
Paukkunen, J. P. T.; Finnish Museum of Natural History, Zoology Unit, University of Helsinki, Helsinki, Finland
Pawlikowski, T.; Chair of Ecology and Biogeography, Nicolaus Copernicus University, Toruń, Poland
Reemer, M.; European Invertebrate Survey (EIS), Naturalis Biodiversity Center, Leiden, Netherlands
Roberts, S. P. M.; Centre for Agri-Environmental Research, School of Agriculture, Policy and Development, University of Reading, Reading, United Kingdom
Straka, J.; Department of Zoology, Faculty of Science, Charles University, Prague 2, Czech Republic
Vray, S.; Department of Geography, University of Namur, Namur, Belgium, Laboratoire de Zoologie, Research institute of Biosciences, University of Mons, Mons, Belgium
Dendoncker, N.; Department of Geography, University of Namur, Namur, Belgium
Aguirre-Gutiérrez, J., Biesmeijer, J. C., Van Loon, E. E., Reemer, M., Wallisdevries, M. F., & Carvalheiro, L. G. (2015). Susceptibility of pollinators to ongoing landscape changes depends on landscape history. Diversity and Distributions, 21, 1129–1140. https://doi.org/10.1111/ddi.12350
Aguirre-Gutierrez, J., Carvalheiro, L. G., Polce, C., Van Loon, E. E., Raes, N., Reemer, M., & Biesmeijer, J. C. (2013). Fit-for-purpose: Species distribution model performance depends on evaluation criteria—Dutch Hoverflies as a case study. PLoS ONE, 8, e63708. https://doi.org/10.1371/journal.pone.0063708
Bahn, V., & Mcgill, B. J. (2013). Testing the predictive performance of distribution models. Oikos, 122, 321–331. https://doi.org/10.1111/j.1600-0706.2012.00299.x
Barbet-Massin, M., Thuiller, W., & Jiguet, F. (2012). The fate of European breeding birds under climate, land-use and dispersal scenarios. Global Change Biology, 18, 881–890.
Barnosky, A. D., Matzke, N., Tomiya, S., Wogan, G. O. U., Swartz, B., Quental, T. B., … Ferrer, E. A. (2011). Has the Earth/'s sixth mass extinction already arrived? Nature, 471, 51–57. https://doi.org/10.1038/nature09678
Bellard, C., Bertelsmeier, C., Leadley, P., Thuiller, W., & Courchamp, F. (2012). Impacts of climate change on the future of biodiversity. Ecology Letters, 15, 365–377. https://doi.org/10.1111/j.1461-0248.2011.01736.x
Biesmeijer, J. C., Roberts, S. P., Reemer, M., Ohlemüller, R., Edwards, M., Peeters, T., … Kunin, W. E. (2006). Parallel declines in pollinators and insect-pollinated plants in Britain and the Netherlands. Science, 313, 351–354. https://doi.org/10.1126/science.1127863
Bossard, M., Feranec, J., & Otahel, J. (2000). CORINE Land Cover Technical Guide—Addendum 2000. Technical report 40, Copenhagen: European Environment Agency. http://www.eea.europa.eu/publications/tech40add
Busch, G. (2006). Future European agricultural landscapes—What can we learn from existing quantitative land use scenario studies? Agriculture, Ecosystems & Environment, 114, 121–140.
Carvalheiro, L. G., Kunin, W. E., Keil, P., Aguirre-Gutiérrez, J., Ellis, W. N., Fox, R., … Biesmeijer, J. C. (2013). Species richness declines and biotic homogenisation have slowed down for NW-European pollinators and plants. Ecology Letters, 16, 870–878. https://doi.org/10.1111/ele.12121
Ceballos, G., Ehrlich, P. R., Barnosky, A. D., García, A., Pringle, R. M., & Palmer, T. M. (2015). Accelerated modern human–induced species losses: Entering the sixth mass extinction. Science Advances, 1, 1–5. https://doi.org/10.1126/sciadv.1400253
Chytrý, M., Wild, J., Pyšek, P., Jarošík, V., Dendoncker, N., Reginster, I., … Settele, J. (2012). Projecting trends in plant invasions in Europe under different scenarios of future land-use change. Global Ecology and Biogeography, 21, 75–87. https://doi.org/10.1111/j.1466-8238.2010.00573.x
Clavero, M., Villero, D., & Brotons, L. (2011). Climate Change or Land Use Dynamics: Do We Know What Climate Change Indicators Indicate? PLoS ONE, 6, e18581. https://doi.org/10.1371/journal.pone.0018581
De Palma, A., Abrahamczyk, S., Aizen, M. A., Albrecht, M., Basset, Y., Bates, A., … Purvis, A. (2016). Predicting bee community responses to land-use changes: Effects of geographic and taxonomic biases. Scientific Reports, 6, 31153. https://doi.org/10.1038/srep31153
Dendoncker, N., Bogaert, P., & Rounsevell, M. (2006). A statistical method to downscale aggregated land use data and scenarios. Journal of Land Use Science, 1, 63–82. https://doi.org/10.1080/17474230601058302
Dormann, C. F., Elith, J., Bacher, S., Buchmann, C., Carl, G., Carré, G., … Lautenbach, S. (2013). Collinearity: A review of methods to deal with it and a simulation study evaluating their performance. Ecography, 36, 27–46. https://doi.org/10.1111/j.1600-0587.2012.07348.x
Duputié, A., Zimmermann, N. E., & Chuine, I. (2014). Where are the wild things? Why we need better data on species distribution. Global Ecology and Biogeography, 23, 457–467. https://doi.org/10.1111/geb.12118
Elith, J., & Leathwick, J. R. (2009). Species distribution models: Ecological explanation and prediction across space and time. Annual Review of Ecology, Evolution, and Systematics, 40, 677–697. https://doi.org/10.1146/annurev.ecolsys.110308.120159
Elith, J., Kearney, M., & Phillips, S. (2010). The art of modelling range-shifting species. Methods in Ecology and Evolution, 1, 330–342.
Elith, J., Phillips, S. J., Hastie, T., Dudík, M., Chee, Y. E., & Yates, C. J. (2011). A statistical explanation of MaxEnt for ecologists. Diversity and Distributions, 17, 43–57. https://doi.org/10.1111/j.1472-4642.2010.00725.x
Ficetola, G. F., Maiorano, L., Falcucci, A., Dendoncker, N., Boitani, L., Padoa-Schioppa, E., … Thuiller, W. (2010). Knowing the past to predict the future: Land-use change and the distribution of invasive bullfrogs. Global Change Biology, 16, 528–537. https://doi.org/10.1111/j.1365-2486.2009.01957.x
Franklin, J. (2010). Mapping species distributions: Spatial inference and prediction. Cambridge, UK: Cambridge University Press.
Franklin, J. (2013). Species distribution models in conservation biogeography: Developments and challenges. Diversity and Distributions, 19, 1217–1223. https://doi.org/10.1111/ddi.12125
Friedman, J. H. (2001). Greedy function approximation: A gradient boosting machine. The Annals of Statistics, 29, 1189–1232.
Fronzek, S., Carter, T. R., & Jylhä, K. (2012). Representing two centuries of past and future climate for assessing risks to biodiversity in Europe. Global Ecology and Biogeography, 21, 19–35. https://doi.org/10.1111/j.1466-8238.2011.00695.x
Gerten, D., Schaphoff, S., Haberlandt, U., Lucht, W., & Sitch, S. (2004). Terrestrial vegetation and water balance—Hydrological evaluation of a dynamic global vegetation model. Journal of Hydrology, 286, 249–270.
Goulson, D., Lepais, O., O'connor, S., Osborne, J. L., Sanderson, R. A., Cussans, J., … Darvill, B. (2010). Effects of land use at a landscape scale on bumblebee nest density and survival. Journal of Applied Ecology, 47, 1207–1215. https://doi.org/10.1111/j.1365-2664.2010.01872.x
Harris, R. M. B., Porfirio, L. L., Hugh, S., Lee, G., Bindoff, N. L., Mackey, B., & Beeton, N. J. (2013). To Be Or Not to Be? Variable selection can change the projected fate of a threatened species under future climate. Ecological Management & Restoration, 14, 230–234.
Hijmans, R. J. (2015). raster: Geographic data analysis and modelling. R package version 2.5-2. Available at: https://CRAN.R-project.org/package=raster.
Interngovernmental Panel on Climate Change (IPCC). (2001). Climate change 2001: The scientific basis. In J. T. Houghton, Y. Ding, D. J. Griggs, M. Noguer, P. J. van der Linden, X. DaI, K. Maskell, & C. A. Johnson (Eds.), Contribution of working group I to the third assessment report of the intergovernmental panel on climate change. Cambridge, UK: Cambridge University Press, 881 pp.
Jiménez-Valverde, A., & Lobo, J. M. (2007). Threshold criteria for conversion of probability of species presence to either–or presence–absence. Acta Oecologica, 31, 361–369. https://doi.org/10.1016/j.actao.2007.02.001
Kerr, J. T., Pindar, A., Galpern, P., Packer, L., Potts, S. G., Roberts, S. M., … Pantoja, A. (2015). Climate change impacts on bumblebees converge across continents. Science, 349, 177–180. https://doi.org/10.1126/science.aaa7031
Lecocq, T., Rasmont, P., Harpke, A., & Schweiger, O. (2016). Improving international trade regulation by considering intraspecific variation for invasion risk assessment of commercially traded species: The Bombus terrestris case. Conservation Letters, 9, 281–289. https://doi.org/10.1111/conl.12215
Lobo, J. M. (2016). The use of occurrence data to predict the effects of climate change on insects. Current Opinion in Insect Science, 17, 62–68.
Luoto, M., Virkkala, R., & Heikkinen, R. K. (2007). The role of land cover in bioclimatic models depends on spatial resolution. Global Ecology and Biogeography, 16, 34–42. https://doi.org/10.1111/j.1466-8238.2006.00262.x
Mantyka-Pringle, C. S., Martin, T. G., & Rhodes, J. R. (2012). Interactions between climate and habitat loss effects on biodiversity: A systematic review and meta-analysis. Global Change Biology, 18, 1239–1252. https://doi.org/10.1111/j.1365-2486.2011.02593.x
Marshall, L., Carvalheiro, L. G., Aguirre-Gutiérrez, J., Bos, M., de Groot, G. A., Kleijn, D., … Biesmeijer, J. C. (2015). Testing projected wild bee distributions in agricultural habitats: Predictive power depends on species traits and habitat type. Ecology and Evolution, 5, 4426–4436. https://doi.org/10.1002/ece3.1579
Martin, Y., Van Dyck, H., Dendoncker, N., & Titeux, N. (2013). Testing instead of assuming the importance of land use change scenarios to model species distributions under climate change. Global Ecology and Biogeography, 22, 1204–1216. https://doi.org/10.1111/geb.12087
Mateo, R. G., Croat, T. B., Felicísimo, Á. M., & Muñoz, J. (2010). Profile or group discriminative techniques? Generating reliable species distribution models using pseudo-absences and target-group absences from natural history collections. Diversity and Distributions, 16, 84–94. https://doi.org/10.1111/j.1472-4642.2009.00617.x
Millennium Ecosystem Assessment. (2005). Ecosystems and human well-being: Synthesis. Washington, DC: Island Press.
Mitchell, T. D., Carter, T. R., Jones, P. D., Hulme, M., & New, M. (2004). A comprehensive set of high-resolution grids of monthly climate for Europe and the globe: The observed record (1901–2000) and 16 scenarios (2001–2100). Tyndall Centre for Climate Change Research Working Paper, 55, 25.
Nelder, J. A., & Wedderburn, R. W. M. (1972). Generalized linear models. Journal of the Royal Statistical Society, 135, 370–384.
New, M., Hulme, M., & Jones, P. (1999). Representing twentieth-century space-time climate variability. Part I: Development of a 1961–90 mean monthly terrestrial climatology. Journal of Climate, 12, 829–856.
Nieto, A., Roberts, S. P. M., Kemp, J., Rasmont, P., Kuhlmann, M., Criado, M., … Michez, D. (2014). European red list of bees. Luxembourg: Publication Office of the European Union.
Ostberg, S., Schaphoff, S., Lucht, W., & Gerten, D. (2015). Three centuries of dual pressure from land use and climate change on the biosphere. Environmental Research Letters, 10, 044011.
Persson, A., Rundlöf, M., Clough, Y., & Smith, H. (2015). Bumble bees show trait-dependent vulnerability to landscape simplification. Biodiversity and Conservation, 24, 1–21. https://doi.org/10.1007/s10531-015-1008-3
Phillips, S. J., & Dudík, M. (2008). Modelling of species distributions with Maxent: New extensions and a comprehensive evaluation. Ecography, 31, 161–175. https://doi.org/10.1111/j.0906-7590.2008.5203.x
Phillips, S. J., Dudík, M., Elith, J., Graham, C. H., Lehmann, A., Leathwick, J., & Ferrier, S. (2009). Sample selection bias and presence-only distribution models: Implications for background and pseudo-absence data. Ecological Applications, 19, 181–197. https://doi.org/10.1890/07-2153.1
Porfirio, L. L., Harris, R. M., Lefroy, E. C., Hugh, S., Gould, S. F., Lee, G., & Mackey, B. (2014). Improving the use of species distribution models in conservation planning and management under climate change. PLoS ONE, 9, e113749. https://doi.org/10.1371/journal.pone.0113749
Potts, S. G., Biesmeijer, J. C., Bommarco, R., Felicioli, A., Fischer, M., Jokinen, P., … Schweiger, O. (2011). Developing European conservation and mitigation tools for pollination services: Approaches of the STEP (Status and Trends of European Pollinators) project. Journal of Apicultural Research, 50, 152–164. https://doi.org/10.3896/IBRA.1.50.2.07
Rahbek, C., Gotelli, N. J., Colwell, R. K., Entsminger, G. L., Rangel, T. F. L. V. B., & Graves, G. R. (2007). Predicting continental-scale patterns of bird species richness with spatially explicit models. Proceedings of the Royal Society of London B: Biological Sciences, 274, 165–174. https://doi.org/10.1098/rspb.2006.3700
Randin, C. F., Engler, R., Normand, S., Zappa, M., Zimmermann, N. E., Pearman, P. B., … Guisan, A. (2009). Climate change and plant distribution: Local models predict high-elevation persistence. Global Change Biology, 15, 1557–1569. https://doi.org/10.1111/j.1365-2486.2008.01766.x
Rasmont, P. (1983). Catalogue commenté des Bourdons de la région ouest-paléarctique (Hymenoptera, Apoïdea, Apidae). Notes fauniques de Gembloux, 7, 1–72.
Rasmont, P., Franzén, M., Lecocq, T., Harpke, A., Roberts, S., Biesmeijer, J. C., … Schweiger, O. (2015). Climatic risk and distribution atlas of European bumblebees. Biodiversity and Ecosystem Risk Assessment, 10, 1–236. https://doi.org/10.3897/biorisk.10.4749
Rasmont, P., & Iserbyt, I. (2013). Atlas of the European Bees: Genus Bombus, 3rd ed. Mons, Gembloux: STEP Project, Atlas Hymenoptera. http://www.zoologie.umh.ac.be//hymenoptera/page.asp?ID=169.
Rasmont, P., Pauly, A., Terzo, M., Patiny, S., Michez, D., Iserbyt, S., … Haubruge, E. (2005). The survey of wild bees (Hymenoptera, Apoidea) in Belgium and France (p. 18). Rome: Food and Agriculture Organisation.
Riordan, E. C., & Rundel, P. W. (2014). Land use compounds habitat losses under projected climate change in a threatened California ecosystem. PLoS ONE, 9, e86487.
Rounsevell, M. D. A., Ewert, F., Reginster, I., Leemans, R., & Carter, T. R. (2005). Future scenarios of European agricultural land use. Agriculture, Ecosystems & Environment, 107, 117–135. https://doi.org/10.1016/j.agee.2004.12.002
Rounsevell, M. D. A., Reginster, I., Araújo, M. B., Carter, T. R., Dendoncker, N., Ewert, F., … Tuck, G. (2006). A coherent set of future land use change scenarios for Europe. Agriculture, Ecosystems & Environment, 114, 57–68.
Scheper, J., Bommarco, R., Holzschuh, A., Potts, S., Riedlinger, V., Roberts, S. P. M., … Kleijn, D. (2015). Local and landscape-level floral resources explain effects of wildflower strips on wild bees across four European countries. Journal of Applied Ecology, 52, 1165–1175. https://doi.org/10.1111/1365-2664.12479
Senapathi, D., Carvalheiro, L. G., Biesmeijer, J. C., Dodson, C.-A., Evans, R. L., McKerchar, M., … Potts, S. (2015). The impact of over 80 years of land cover changes on bee and wasp pollinator communities in England. Proceedings of the Royal Society of London B: Biological Sciences, 282, 20150294.
Sohl, T. L. (2014). The relative impacts of climate and land-use change on conterminous United States bird species from 2001 to 2075. PLoS ONE, 9, e112251.
Spangenberg, J. H., Bondeau, A., Carter, T. R., Fronzek, S., Jaeger, J., Jylhä, K., … Settele, J. (2012). Scenarios for investigating risks to biodiversity. Global Ecology and Biogeography, 21, 5–18. https://doi.org/10.1111/j.1466-8238.2010.00620.x
Stanton, J. C., Pearson, R. G., Horning, N., Ersts, P., & Reşit Akçakaya, H. (2012). Combining static and dynamic variables in species distribution models under climate change. Methods in Ecology and Evolution, 3, 349–357. https://doi.org/10.1111/j.2041-210X.2011.00157.x
Thuiller, W. (2014). Editorial commentary on ‘BIOMOD—optimizing predictions of species distributions and projecting potential future shifts under global change’. Global Change Biology, 20, 3591–3592. https://doi.org/10.1111/gcb.12728
Thuiller, W., Araújo, M. B., & Lavorel, S. (2004). Do we need land-cover data to model species distributions in Europe? Journal of Biogeography, 31, 353–361. https://doi.org/10.1046/j.0305-0270.2003.00991.x
Thuiller, W., Georges, D., & Engler, R. (2015). Biomod2: Ensemble platform for species distribution modelling. R package version 3.1-64, Available at: http://CRAN. R-project. org/package= biomod2.
Titeux, N., Henle, K., Mihoub, J.-B., Rewgos, A., Geijzendorffer, I. R., Cramer, W., … Brotons, L. (2016). Biodiversity scenarios neglect future land-use changes. Global Change Biology, 22, 2505–2515. https://doi.org/10.1111/gcb.13272
Van Vuuren, D. P., Isaac, M., Kundzewicz, Z. W., Arnell, N., Barker, T., Criqui, P., … Scrieciu, S. (2011). The use of scenarios as the basis for combined assessment of climate change mitigation and adaptation. Global Environmental Change, 21, 575–591.
Verburg, P. H., Rounsevell, M. D. A., & Veldkamp, A. (2006). Scenario-based studies of future land use in Europe. Agriculture, Ecosystems & Environment, 114, 1–6. https://doi.org/10.1016/j.agee.2005.11.023
Verburg, P. H., Van De Steeg, J., Veldkamp, A., & Willemen, L. (2009). From land cover change to land function dynamics: A major challenge to improve land characterization. Journal of Environmental Management, 90, 1327–1335. https://doi.org/10.1016/j.jenvman.2008.08.005
Warren, D. L., & Seifert, S. N. (2011). Ecological niche modelling in Maxent: The importance of model complexity and the performance of model selection criteria. Ecological Applications, 21, 335–342. https://doi.org/10.1890/10-1171.1
Williams, P. H., & Osborne, J. L. (2009). Bumblebee vulnerability and conservation world-wide. Apidologie, 40, 367–387. https://doi.org/10.1051/apido/2009025
Wisz, M., Dendoncker, N., Madsen, J., Rounsevell, M., Jespersen, M., Kuijken, E., … Cottaar, F. (2008). Modelling pink-footed goose (Anser brachyrhynchus) wintering distributions for the year 2050: Potential effects of land-use change in Europe. Diversity and Distributions, 14, 721–731. https://doi.org/10.1111/j.1472-4642.2008.00476.x
Wright, A. N., Hijmans, R. J., Schwartz, M. W., Shaffer, H. B., & Franklin, J. (2015). Multiple sources of uncertainty affect metrics for ranking conservation risk under climate change. Diversity and Distributions, 21, 111–122. https://doi.org/10.1111/ddi.12257