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ArticlesChanges in the potential distribution of humid tropical forests on a warmer planet
Published:13 January 2011https://doi.org/10.1098/rsta.2010.0238
Abstract
The future of tropical forests has become one of the iconic issues in climate-change science. A number of studies that have explored this subject have tended to focus on the output from one or a few climate models, which work at low spatial resolution, whereas society and conservation-relevant assessment of potential impacts requires a finer scale. This study focuses on the role of climate on the current and future distribution of humid tropical forests (HTFs). We first characterize their contemporary climatological niche using annual rainfall and maximum climatological water stress, which also adequately describe the current distribution of other biomes within the tropics. As a first-order approximation of the potential extent of HTFs in future climate regimes defined by global warming of 2°C and 4°C, we investigate changes in the niche through a combination of climate-change anomaly patterns and higher resolution (5 km) maps of current climatology. The climate anomalies are derived using data from 17 coupled Atmosphere–Ocean General Circulation Models (AOGCMs) used in the Fourth Assessment of the Intergovernmental Panel for Climate Change. Our results confirm some risk of forest retreat, especially in eastern Amazonia, Central America and parts of Africa, but also indicate a potential for expansion in other regions, for example around the Congo Basin. The finer spatial scale enabled the depiction of potential resilient and vulnerable zones with practically useful detail. We further refine these estimates by considering the impact of new environmental regimes on plant water demand using the UK Met Office land-surface scheme (of the HadCM3 AOGCM). The CO2-related reduction in plant water demand lowers the risk of die-back and can lead to possible niche expansion in many regions. The analysis presented here focuses primarily on hydrological determinants of HTF extent. We conclude by discussing the role of other factors, notably the physiological effects of higher temperature.
References
- 1
Mayaux P., Holmgren P., Achard F., Eva H., Stibig H.& Branthomme A. . 2005Tropical forest cover change in the 1990s and options for future monitoring. Phil. Trans. R. Soc. B 360, 373–384doi:10.1098/rstb.2004.1590 (doi:10.1098/rstb.2004.1590). Link, ISI, Google Scholar - 2
Dirzo R.& Raven P. H. . 2003Global state of biodiversity and loss. Annu. Rev. Environ. Resour. 28, 137–167doi:10.1146/annurev.energy.28.050302.105532 (doi:10.1146/annurev.energy.28.050302.105532). Crossref, ISI, Google Scholar - 3
van der Werf G. R., Morton D. C., DeFries R. S., Olivier J. G. J., Kasibhatla P. S., Jackson R. B., Collatz G. J.& Randerson J. T. . 2009CO2 emissions from forest loss. Nat. Geosci. 2, 737–738doi:10.1038/ngeo671 (doi:10.1038/ngeo671). Crossref, ISI, Google Scholar - 4
Lewis S. L., Lloyd J., Sitch S., Mitchard E. T. A.& Laurance W. F. . 2009Changing ecology of tropical forests: evidence and drivers. Annu. Rev. Ecol. Evol. Syst. 40, 529–549doi:10.1146/annurev.ecolsys.39.110707.173345 (doi:10.1146/annurev.ecolsys.39.110707.173345). Crossref, ISI, Google Scholar - 5
ter Steege H.& et al . 2003A spatial model of tree alpha-diversity and tree density for the Amazon. Biodivers. Conserv. 12, 2255–2277doi:10.1023/A:1024593414624 (doi:10.1023/A:1024593414624). Crossref, ISI, Google Scholar - 6
Saatchi S. S., Houghton R. A., Alvala R., Soares J. V.& Yu Y. . 2007Distribution of aboveground live biomass in the Amazon basin. Glob. Change Biol. 13, 816–837doi:10.1111/j.1365-2486.2007.01323.x (doi:10.1111/j.1365-2486.2007.01323.x). Crossref, ISI, Google Scholar - 7
Baccini A., Laporte N., Goetz S. J., Sun M.& Dong H. . 2008A first map of tropical Africa’s above-ground biomass derived from satellite imagery. Environ. Res. Lett. 3, 045011 doi:10.1088/1748-9326/3/4/045011 (doi:10.1088/1748-9326/3/4/045011). Crossref, ISI, Google Scholar - 8FAO.2001Global Forest Resources Assessment 2000. FAO forestry paper 140. Rome, Italy: FAO. Google Scholar
- 9FAO.2006Global Forest Resources Assessment 2005. FAO forestry paper 147. Rome, Italy: FAO. Google Scholar
- 10
Prentice K. C. . 1990Bioclimatic distribution of vegetation for general-circulation model studies. J. Geophys. Res. Atmos. 95, 11 811–11 830doi:10.1029/JD095iD08p11811 (doi:10.1029/JD095iD08p11811). Crossref, Google Scholar - 11
Lewis S. L. . 2006Tropical forests and the changing earth system. Phil. Trans. R. Soc. B 361, 195–210doi:10.1098/rstb.2005.1711 (doi:10.1098/rstb.2005.1711). Link, ISI, Google Scholar - 12
Malhi Y., Aragao L., Galbraith D., Huntingford C., Fisher R., Zelazowski P., Sitch S., McSweeney C.& Meir P. . 2009Exploring the likelihood and mechanism of a climate-change-induced dieback of the Amazon rainforest. Proc. Natl Acad. Sci. USA 106, 20 610–20 615doi:10.1073/pnas.0804619106 (doi:10.1073/pnas.0804619106). Crossref, ISI, Google Scholar - 13
Kumagai T., 2005Annual water balance and seasonality of evapotranspiration in a Bournean tropical rainforest. Agric. For. Meteorol. 128, 81–92doi:10.1016/j.agrformet.2004.08.006 (doi:10.1016/j.agrformet.2004.08.006). Crossref, ISI, Google Scholar - 14
Malhi Y., Pegoraro E., Nobre A. D., Pereira M. G. P., Grace J., Culf A. D.& Clement B. . 2002Energy and water dynamics of a central Amazonian rain forest. J. Geophys. Res. 107, 8061 doi:10.1029/2001JD000623 (doi:10.1029/2001JD000623). Crossref, ISI, Google Scholar - 15
Fisher J. B., 2009The land–atmosphere water flux in the tropics. Glob. Change Biol. 15, 2694–2714doi:10.1111/j.1365-2486.2008.01813.x (doi:10.1111/j.1365-2486.2008.01813.x). Crossref, ISI, Google Scholar - 16
Richards P. W., Walsh R. P. D., Baillie I. C.& Greig-Smith P. . 1996The tropical rain forestCambridge, UKCambridge University Press. Google Scholar - 17
Walsh R. P. D. . 1992Representation and classification of tropical climates for ecological purposes using the perhumidity index. Swansea Geogr. 24, 109–129. Google Scholar - 18
Betts R. A., Collins M., Hemming D. L., Jones C. D., Lowe J. A.& Sanderson M. G. . 2011When could global warming reach 4°C?Phil. Trans. R. Soc. A 369, 67–84doi:10.1098/rsta.2010.0292 (doi:10.1098/rsta.2010.0292). Link, ISI, Google Scholar - 19
Cox P. M., Betts R. A., Jones C. D., Spall S. A.& Totterdell I. J. . 2000Acceleration of global warming due to carbon-cycle feedbacks in a coupled climate model. Nature 408, 184–187doi:10.1038/35041539 (doi:10.1038/35041539). Crossref, PubMed, ISI, Google Scholar - 20
Lewis S. L., Malhi Y.& Phillips O. L. . 2004Fingerprinting the impacts of global change on tropical forests. Phil. Trans. R. Soc. Lond. B 359, 437–462doi:10.1098/rstb.2003.1432 (doi:10.1098/rstb.2003.1432). Link, ISI, Google Scholar - 21
Lloyd J.& Farquhar G. D. . 2008Effects of rising temperatures and [CO2] on the physiology of tropical forest trees. Phil. Trans. R. Soc. B 363, 1811–1817doi:10.1098/rstb.2007.0032 (doi:10.1098/rstb.2007.0032). Link, ISI, Google Scholar - 22
White A., Cannell M. G. R.& Friend A. D. . 1999Climate change impacts on ecosystems and the terrestrial carbon sink: a new assessment. Glob. Environ. Change Hum. Policy Dimens. 9, S21–S30doi:10.1016/S0959-3780(99)00016-3 (doi:10.1016/S0959-3780(99)00016-3). Crossref, ISI, Google Scholar - 23
Betts R. A., Cox P. M., Collins M., Harris P. P., Huntingford C.& Jones C. D. . 2004The role of ecosystem–atmosphere interactions in simulated Amazonian precipitation decrease and forest dieback under global climate warming. Theor. Appl. Climatol. 78, 157–175doi:10.1007/s00704-004-0050-y (doi:10.1007/s00704-004-0050-y). Crossref, ISI, Google Scholar - 24
Cox P. M., Betts R. A., Collins M., Harris P. P., Huntingford C.& Jones C. D. . 2004Amazonian forest dieback under climate-carbon cycle projections for the 21st century. Theor. Appl. Climatol. 78, 137–156doi:10.1007/s00704-004-0049-4 (doi:10.1007/s00704-004-0049-4). Crossref, ISI, Google Scholar - 25
Huntingford C., 2008Towards quantifying uncertainty in predictions of Amazon ‘dieback’. Phil. Trans. R. Soc. B 363, 1857–1864doi:10.1098/rstb.2007.0028 (doi:10.1098/rstb.2007.0028). Link, ISI, Google Scholar - 26
Lenton T. M., Held H., Kriegler E., Hall J. W., Lucht W., Rahmstorf S.& Schellnhuber H. J. . 2008Tipping elements in the Earth’s climate system. Proc. Natl Acad. Sci. USA 105, 1786–1793doi:10.1073/pnas.0705414105 (doi:10.1073/pnas.0705414105). Crossref, PubMed, ISI, Google Scholar - 27
Poulter B., Aragão L., Heyder U., Gumpenberger M., Heinke J., Langerwisch F., Rammig A., Thonicke K.& Cramer W. . 2010Net biome production of the Amazon basin in the 21st Century. Glob. Change Biol. 16, 2062–2075doi:10.1111/j.1365-2486.2009.02064.x (doi:10.1111/j.1365-2486.2009.02064.x). Crossref, ISI, Google Scholar - 28
Cramer W., 2001Global response of terrestrial ecosystem structure and function to CO2 and climate change: results from six dynamic global vegetation models. Glob. Change Biol. 7, 357–373doi:10.1046/j.1365-2486.2001.00383.x (doi:10.1046/j.1365-2486.2001.00383.x). Crossref, ISI, Google Scholar - 29
Sitch S., 2008Evaluation of the terrestrial carbon cycle, future plant geography and climate-carbon cycle feedbacks using five Dynamic Global Vegetation Models (DGVMs). Glob. Change Biol. 14, 2015–2039doi:10.1111/j.1365-2486.2008.01626.x (doi:10.1111/j.1365-2486.2008.01626.x). Crossref, ISI, Google Scholar - 30
Huntingford C., Harris P. P., Gedney N., Cox P. M., Betts R. A., Marengo J. A.& Gash J. H. C. . 2004Using a GCM analogue model to investigate the potential for Amazonian forest dieback. Theor. Appl. Climatol. 78, 177–185doi:10.1007/s00704-004-0051-x (doi:10.1007/s00704-004-0051-x). Crossref, ISI, Google Scholar - 31
Galbraith D., Levy P. E., Sitch S., Huntingford C., Cox P., Williams M.& Meir P. . 2010Multiple mechanisms of Amazonian forest biomass losses in three dynamic global vegetation models under climate change. New Phytol 187, 647–665doi:10.1111/j.1469-8137.2010.03350.x (doi:10.1111/j.1469-8137.2010.03350.x). Crossref, PubMed, ISI, Google Scholar - 32
Cox P. M. . 2001Description of the TRIFFID dynamic global vegetation model. Technical note 24. Bracknell, UK: Hadley Centre, Met office. Google Scholar - 33
Cox P. M., Huntingford C.& Harding R. J. . 1998A canopy conductance and photosynthesis model for use in a GCM land surface scheme. J. Hydrol. 213, 79–94doi:10.1016/S0022-1694(98)00203-0 (doi:10.1016/S0022-1694(98)00203-0). Crossref, ISI, Google Scholar - 34
Schaphoff S., Lucht W., Gerten D., Sitch S., Cramer W.& Prentice I. C. . 2006Terrestrial biosphere carbon storage under alternative climate projections. Clim. Change 74, 97–122doi:10.1007/s10584-005-9002-5 (doi:10.1007/s10584-005-9002-5). Crossref, ISI, Google Scholar - 35
Scholze M., Knorr W., Arnell N. W.& Prentice I. C. . 2006A climate-change risk analysis for world ecosystems. Proc. Natl Acad. Sci. USA 103, 13 116–13 120.doi:10.1073/pnas.0601816103 (doi:10.1073/pnas.0601816103). Crossref, ISI, Google Scholar - 36
Salazar L. F., Nobre C. A.& Oyama M. D. . 2007Climate change consequences on the biome distribution in tropical South America. Geophys. Res. Lett. 34, L09708 doi:10.1029/2007GL029695 (doi:10.1029/2007GL029695). Crossref, ISI, Google Scholar - 37
Lapola D. M., Oyama M. D.& Nobre C. A. . 2009Exploring the range of climate biome projections for tropical South America: the role of CO2 fertilization and seasonality. Glob. Biogeochem. Cycles 23, 3003 doi:10.1029/2008GB003357 (doi:10.1029/2008GB003357). Crossref, ISI, Google Scholar - 38
Cook K. H.& Vizy E. K. . 2008Effects of twenty-first-century climate change on the Amazon rain forest. J. Clim. 21, 542–560doi:10.1175/2007JCLI1838.1 (doi:10.1175/2007JCLI1838.1). Crossref, ISI, Google Scholar - 39
Trivedi M. R., Berry P. M., Morecroft M. D.& Dawson T. P. . 2008Spatial scale affects bioclimate model projections of climate change impacts on mountain plants. Glob. Change Biol. 14, 1089–1103doi:10.1111/j.1365-2486.2008.01553.x (doi:10.1111/j.1365-2486.2008.01553.x). Crossref, ISI, Google Scholar - 40
Willis K. J.& Bhagwat S. A. . 2009Biodiversity and climate change. Science 326, 806–807doi:10.1126/science.1178838 (doi:10.1126/science.1178838). Crossref, PubMed, ISI, Google Scholar - 41
Bartholome E.& Belward A. S. . 2005GLC2000: a new approach to global land cover mapping from Earth observation data. Int. J. Remote Sens. 26, 1959–1977doi:10.1080/01431160412331291297 (doi:10.1080/01431160412331291297). Crossref, ISI, Google Scholar - 42
Hijmans R. J., Cameron S. E., Parra J. L., Jones P. G.& Jarvis A. . 2005Very high resolution interpolated climate surfaces for global land areas. Int. J. Climatol. 25, 1965–1978doi:10.1002/joc.1276 (doi:10.1002/joc.1276). Crossref, ISI, Google Scholar - 43
Fisher J. B., Tu K. P.& Baldocchi D. D. . 2008Global estimates of the land–atmosphere water flux based on monthly AVHRR and ISLSCP-II data, validated at 16 FLUXNET sites. Remote Sens. Environ. 112, 901–919doi:10.1016/j.rse.2007.06.025 (doi:10.1016/j.rse.2007.06.025). Crossref, ISI, Google Scholar - 44
Mitchell J. F. B., Johns T. C., Eagles M., Ingram W. J.& Davis R. A. . 1999Towards the construction of climate change scenarios. Clim. Change 41, 547–581doi:10.1023/A:1005466909820 (doi:10.1023/A:1005466909820). Crossref, ISI, Google Scholar - 45
Huntingford C.& Cox P. M. . 2000An analogue model to derive additional climate change scenarios from existing GCM simulations. Clim. Dyn. 16, 575–586doi:10.1007/s003820000067 (doi:10.1007/s003820000067). Crossref, ISI, Google Scholar - 46
Wigley T. M. L., Raper S. C. B., Hulme M.& Smith S. . 2000The MAGICC/SCENGEN climate scenario generator, version 2.4, technical manual. Climatic Research Unit, University of East Anglia, Norwich, UK. Google Scholar - 47
Cabre M. F., Solman S. A.& Nuñez M. N. . 2010Creating regional climate change scenarios over southern South America for the 2020’s and 2050’s using the pattern scaling technique: validity and limitations. Clim. Change 98, 449–469doi:10.1007/s10584-009-9737-5 (doi:10.1007/s10584-009-9737-5). Crossref, ISI, Google Scholar - 48
Mitchell T. D.& Jones P. D. . 2005An improved method of constructing a database of monthly climate observations and associated high-resolution grids. Int. J. Climatol. 25, 693–712doi:10.1002/joc.1181 (doi:10.1002/joc.1181). Crossref, ISI, Google Scholar - 49
Ines A. V. M.& Hansen J. W. . 2006Bias correction of daily GCM rainfall for crop simulation studies. Agric. For. Meteorol. 138, 44–53doi:10.1016/j.agrformet.2006.03.009 (doi:10.1016/j.agrformet.2006.03.009). Crossref, ISI, Google Scholar - 50
Nakicenovic N., 2000IPCC special report on emission scenariosCambridge, UKCambridge University Press. Google Scholar - 51
Baron C., Sultan B., Balme M., Sarr B., Traore S., Lebel T., Janicot S.& Dingkuhn M. . 2005From GCM grid cell to agricultural plot: scale issues affecting modelling of climate impact. Phil. Trans. R. Soc. B 360, 2095–2108doi:10.1098/rstb.2005.1741 (doi:10.1098/rstb.2005.1741). Link, ISI, Google Scholar - 52
Fowler H. J., Blenkinsop S.& Tebaldi C. . 2007Linking climate change modelling to impacts studies: recent advances in downscaling techniques for hydrological modelling. Int. J. Climatol. 27, 1547–1578doi:10.1002/joc.1556 (doi:10.1002/joc.1556). Crossref, ISI, Google Scholar - 53
Huntingford C., 2007IMOGEN: an intermediate complexity climate model to evaluate terrestrial impacts of a changing climate. Geosci. Model Dev. Discuss. 3, 1161–1184doi:10.5194/gmdd-3-1161-2010 (doi:10.5194/gmdd-3-1161-2010). Crossref, Google Scholar - 54
Hulme M., Raper S. C. B.& Wigley T. M. L. . 1995An integrated framework to address climate-change (escape) and further developments of the global and regional climate modules (magicc). Energy Policy 23, 347–355doi:10.1016/0301-4215(95)90159-5 (doi:10.1016/0301-4215(95)90159-5). Crossref, ISI, Google Scholar - 55
Meinshausen M., Raper S. C. B.& Wigley T. M. L. . 2008Emulating IPCC AR4 atmosphere–ocean and carbon cycle models for projecting global-mean hemispheric and land/ocean temperature: MAGICC 6.0. Atmos. Chem. Phys. 8, 6153–6272doi:10.5194/acpd-8-6153-2008 (doi:10.5194/acpd-8-6153-2008). Crossref, Google Scholar - 56
Schiermeier Q. . 2010The real holes in climate science. Nature 463, 284–287doi:10.1038/463284a (doi:10.1038/463284a). Crossref, PubMed, ISI, Google Scholar - 57
Clark D. A. . 2004Sources or sinks?: The responses of tropical forests to current and future climate and atmospheric composition. Phil. Trans. R. Soc. Lond. B 359, 477–491doi:10.1098/rstb.2003.1426 (doi:10.1098/rstb.2003.1426). Link, ISI, Google Scholar - 58
Sung D.-Y., Kaplan F., Lee K.-J.& Guy C. L. . 2003Acquired tolerance to temperature extremes. Trends Plant. Sci. 8, 179–187doi:10.1016/S1360-1385(03)00047-5 (doi:10.1016/S1360-1385(03)00047-5). Crossref, PubMed, ISI, Google Scholar - 59
Atkin O. K., Bruhn D., Hurry V. M.& Tjoelker M. G. . 2005The hot and the cold: unravelling the variable response of plant respiration to temperature. Funct. Plant Biol. 32, 87–105doi:10.1071/FP03176 (doi:10.1071/FP03176). Crossref, PubMed, Google Scholar - 60
Kattge J.& Knorr W. . 2007Temperature acclimation in a biochemical model of photosynthesis: a reanalysis of data from 36 species. Plant Cell Environ. 30, 1176–1190doi:10.1111/j.1365-3040.2007.01690.x (doi:10.1111/j.1365-3040.2007.01690.x). Crossref, PubMed, ISI, Google Scholar - 61
Berry J.& Bjorkman O. . 1980Photosynthetic response and adaptation to temperature in higher plants. Annu. Rev. Plant Physiol. 31, 491–543doi:10.1146/annurev.pp.31.060180.002423 (doi:10.1146/annurev.pp.31.060180.002423). Crossref, Google Scholar - 62
Cunningham S. C.& Read J. . 2003Do temperate rainforest trees have a greater ability to acclimate to changing temperatures than tropical rainforest trees?New Phytol. 157, 55–64doi:10.1046/j.1469-8137.2003.00652.x (doi:10.1046/j.1469-8137.2003.00652.x). Crossref, PubMed, ISI, Google Scholar - 63
Kositsup B., Montpied P., Kasemsap P., Thaler P., Ameglio T.& Dreyer E. . 2009Photosynthetic capacity and temperature responses of photosynthesis of rubber trees (Hevea brasiliensis Müll. Arg.) acclimate to changes in ambient temperatures. Trees Struct. Funct. 23, 357–365doi:10.1007/s00468-008-0284-x (doi:10.1007/s00468-008-0284-x). Crossref, ISI, Google Scholar - 64
Deutsch C. A., Tewksbury J. J., Huey R. B., Sheldon K. S., Ghalambor C. K., Haak D. C.& Martin P. R. . 2008Impacts of climate warming on terrestrial ectotherms across latitude. Proc Natl Acad. Sci. USA 105, 6668–6672doi:10.1073/pnas.0709472105 (doi:10.1073/pnas.0709472105). Crossref, PubMed, ISI, Google Scholar - 65
Le Page Y., van der Werf G. R., Morton D. C.& Pereira J. M. C. . 2010Modeling fire-driven deforestation potential in Amazonia under current and projected climate conditions. J. Geophys. Res. 115, G03012 doi:10.1029/2009JG001190 (doi:10.1029/2009JG001190). Crossref, ISI, Google Scholar - 66
Hasler N.& Avissar R. . 2007What controls evapotranspiration in the Amazon basin?J. Hydrometeorol. 8, 380–395doi:10.1175/JHM587.1 (doi:10.1175/JHM587.1). Crossref, ISI, Google Scholar - 67
Mercado L. M., Bellouin N., Sitch S., Boucher O., Huntingford C., Wild M.& Cox P. M. . 2009Impact of changes in diffuse radiation on the global land carbon sink. Nature 458, 1014–1017doi:10.1038/nature07949 (doi:10.1038/nature07949). Crossref, PubMed, ISI, Google Scholar - 68
Gullison R. E., 2007Tropical forests and climate policy. Science 316, 985–986doi:10.1126/science.1136163 (doi:10.1126/science.1136163). Crossref, PubMed, ISI, Google Scholar - 69
Ebeling J.& Yasue M. . 2008Generating carbon finance through avoided deforestation and its potential to create climatic, conservation and human development benefits. Phil. Trans. R. Soc. B 363, 1917–1924doi:10.1098/rstb.2007.0029 (doi:10.1098/rstb.2007.0029). Link, ISI, Google Scholar - 70
Aragao L.& Shimabukuro Y. E. . 2010The incidence of fire in Amazonian forests with implications for REDD. Science 328, 1275–1278doi:10.1126/science.1186925 (doi:10.1126/science.1186925). Crossref, PubMed, ISI, Google Scholar
