This site makes a suite of maps available showing how the distributions of the majority of bird species breeding in sub-Saharan Africa could be impacted by climate change. This represents part of the output of a major project undertaken collaboratively by BirdLife International and Durham University and funded by the MacArthur Foundation to help us better understand how climate change may affect these key species.
In this analysis, projected future range maps have been created for the majority of species breeding in sub-saharan Africa. These maps can be viewed by searching for your species of interest either by clicking on 'Species Search' in the left-hand navigation or by entering its name in the box in the header. If maps have been produced for your selected species a link to Projected future species distributions will appear in the key facts box on the right-hand side.
Alternatively, a full list of the assessed species can be viewed here.
A suite of maps, showing how the ranges of the majority of bird species breeding in sub-Saharan Africa could be impacted by climate change, is made available here online.
These maps, developed collaboratively by BirdLife International and Durham University, depict modeled present-day and modeled projections of future species ranges approximating to four discrete time periods: present-day (based on the mean climate between 1970–2000), 2025 (a mean of climate projections for the period 2010–2039), 2055 (mean for 2040–2069) and 2085 (mean for 2070–2099).
These ranges have been prepared for 1608 species, the entire breeding avifauna of sub-Saharan Africa, minus 71 species recorded from fewer than five grid cells, for which modeling was impractical.
The “climate envelope” of a species represents the association between its present-day distribution and current climatic variables. Future distributions are then estimated by projecting this relationship onto scenarios of climate change, making the assumption that current relationships between climate and distribution are retained (see e.g. Pearson & Dawson, 2003). As such, these maps represent the distribution of areas of potential climatic suitability for a species, rather than an explicit representation of each species realized distribution. In most cases however, there is likely to be a close relationship between the modeled distribution and the species ‘observed’ distribution.
The models are based on comprehensive ‘observed’ distributional data for all terrestrial bird species breeding in sub?Saharan Africa, provided by the Zoological Museum of the University of Copenhagen (see here). The continental landmass south of latitude 20°N is divided into 1963 1° x 1° latitude?longitude cells, of approximately 111km x 111km at the Equator. The modeled distribution of each species is then indicated by its modeled presence or absence in these cells.
Mean monthly temperature and precipitation data for sub-Saharan Africa were obtained from a global, freely available dataset (www.worldclim.org), while projections of future climate change were derived from three General Circulation Models (GCMs) included in the IPCC’s Third Assessment Report (all GCM data are available at www.ipcc-data.org).
However, the researchers note that the time?scale for their projections is likely to prove conservative if the current CO2 emissions trajectory continues. Emissions growth rate since 2000 has been at the upper end (and has possibly even exceeded) the most fossil?fuel intensive of the IPCC emissions scenarios (Raupach et al., 2007), with a projected temperature increase in the range of 2.4–6.4°C, in comparison to 1.4–3.8°C for the scenario used here. Should this trend continue, then it is likely that these projections for avian turnover and persistence for 2085 will be manifest on a shorter time?scale, perhaps as early as 2055.
The reliability of climate-envelope models has been extensively evaluated over the past two decades. They have been successfully used to model non-native/invasive species (e.g. Beerling, Huntley & Bailey, 1995; Menendez et al., 2006), re-create historical shifts in species distributions (e.g. Araujo et al., 2005; Nogues-Bravo, 2009), and to detect consequent shifts in individual species’ population trends (e.g. (Green et al., 2008; Gregory et al., 2009). However, these models are also subject to a range of assumptions and there is an acknowledged need for their continued development, improvement and testing (e.g. Araujo & Luoto, 2007; Beale, Lennon & Gimona, 2008; Elith & Graham, 2009; Guisan & Thuiller, 2005; Hijmans & Graham, 2006; Kearney & Porter, 2009; Pearson et al., 2003; Pearson et al., 2006). Any map depicting a species modeled distribution therefore needs to be interpreted carefully and judiciously. We emphasize that the maps on this website represent modeled projections of the distributional changes that could occur under climate change, not predictions of what will occur. As such they should be used as a tool to help scientists, policy-makers and other stakeholders identify and address potential adaptation needs, but within an adaptive management and decision framework that includes other independent data sources on likely climate change impacts, and that explicitly recognizes the inherent uncertainties when addressing climate change. Araujo, M.B. & Luoto, M. (2007) The importance of biotic interactions for modelling species distributions under climate change. Global Ecology and Biogeography, 16, 743-753.
Araujo, M.B., Pearson, R.G., Thuiller, W., & Erhard, M. (2005) Validation of species-climate impact models under climate change. Global Change Biology, 11, 1504-1513.
Beale, C.M., Lennon, J.J., & Gimona, A. (2008) Opening the climate envelope reveals no macroscale associations with climate in European birds. Proceedings of the National Academy of Sciences of the United States of America, 105, 14908-14912.
Beerling, D.J., Huntley, B., & Bailey, J.P. (1995) Climate and the Distribution of Fallopia-Japonica - Use of an Introduced Species to Test the Predictive Capacity of Response Surfaces. Journal of Vegetation Science, 6, 269-282.
Elith, J. & Graham, C.H. (2009) Do they? How do they? WHY do they differ? On finding reasons for differing performances of species distribution models. Ecography, 32, 66-77.
Green, R.E., Collingham, Y.C., Willis, S.G., Gregory, R.D., Smith, K.W., & Huntley, B. (2008) Performance of climate envelope models in retrodicting recent changes in bird population size from observed climatic change. Biology Letters, 4, 599-602.
Gregory, R.D., Willis, S.G., Jiguet, F., Vorisek, P., Klvanova, A., van Strien, A., Huntley, B., Collingham, Y.C., Couvet, D., & Green, R.E. (2009) An Indicator of the Impact of Climatic Change on European Bird Populations. Plos One, 4.
Guisan, A. & Thuiller, W. (2005) Predicting species distribution: offering more than simple habitat models. Ecology Letters, 8, 993-1009.
Hijmans, R.J. & Graham, C.H. (2006) The ability of climate envelope models to predict the effect of climate change on species distributions. Global Change Biology, 12, 2272-2281.
Kearney, M. & Porter, W. (2009) Mechanistic niche modelling: combining physiological and spatial data to predict species' ranges. Ecology Letters, 12, 334-350.
Menendez, R., Megias, A.G., Hill, J.K., Braschler, B., Willis, S.G., Collingham, Y., Fox, R., Roy, D.B., & Thomas, C.D. (2006) Species richness changes lag behind climate change. Proceedings of the Royal Society B-Biological Sciences, 273, 1465-1470.
Nogues-Bravo, D. (2009) Predicting the past distribution of species climatic niches. Global Ecology and Biogeography, 18, 521-531.
Pearson, R.G. & Dawson, T.P. (2003) Predicting the impacts of climate change on the distribution of species: are bioclimate envelope models useful? Global Ecology and Biogeography, 12, 361-371.
Pearson, R.G., Thuiller, W., Araujo, M.B., Martinez-Meyer, E., Brotons, L., McClean, C., Miles, L., Segurado, P., Dawson, T.P., & Lees, D.C. (2006) Model-based uncertainty in species range prediction. Journal of Biogeography, 33, 1704-1711.
Raupach, M.R., Marland, G., Ciais, P., Le Quere, C., Canadell, J.G., Klepper, G., & Field, C.B. (2007) Global and regional drivers of accelerating CO2 emissions. Proceedings of the National Academy of Sciences of the United States of America, 104, 10288-10293.