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Volumn 5, Issue 5, 2014, Pages 621-637

Climate projections for ecologists

Author keywords

[No Author keywords available]

Indexed keywords

CLIMATE MODELS; ECOLOGY;

EID: 84906224968     PISSN: 17577780     EISSN: 17577799     Source Type: Journal    
DOI: 10.1002/wcc.291     Document Type: Review
Times cited : (146)

References (118)
  • 1
    • 84881082185 scopus 로고    scopus 로고
    • Changes in ecologically critical terrestrial climate conditions
    • Diffenbaugh NS, Field CB. Changes in ecologically critical terrestrial climate conditions. Science 2013, 341:486.
    • (2013) Science , vol.341 , pp. 486
    • Diffenbaugh, N.S.1    Field, C.B.2
  • 2
    • 33646543702 scopus 로고    scopus 로고
    • Consequences of spatial autocorrelation for niche-based models
    • Segurado P, Araujo MB, Kunin WE. Consequences of spatial autocorrelation for niche-based models. J Appl Ecol 2006, 43:433-444.
    • (2006) J Appl Ecol , vol.43 , pp. 433-444
    • Segurado, P.1    Araujo, M.B.2    Kunin, W.E.3
  • 3
    • 33646557004 scopus 로고    scopus 로고
    • Error and uncertainty in habitat models
    • Barry S, Elith J. Error and uncertainty in habitat models. J Appl Ecol 2006, 43:413-423.
    • (2006) J Appl Ecol , vol.43 , pp. 413-423
    • Barry, S.1    Elith, J.2
  • 4
    • 34247368824 scopus 로고    scopus 로고
    • Sensitivity of predictive species distribution models to change in grain size
    • Guisan A, Graham CH, Elith J, Huettmann F, Distri NS. Sensitivity of predictive species distribution models to change in grain size. Divers Distrib 2007, 13:332-340.
    • (2007) Divers Distrib , vol.13 , pp. 332-340
    • Guisan, A.1    Graham, C.H.2    Elith, J.3    Huettmann, F.4    Distri, N.S.5
  • 5
    • 55949115013 scopus 로고    scopus 로고
    • Why is the choice of future climate scenarios for species distribution modelling important?
    • Beaumont LJ, Hughes L, Pitman AJ. Why is the choice of future climate scenarios for species distribution modelling important? Ecol Lett 2008, 11:1135-1146.
    • (2008) Ecol Lett , vol.11 , pp. 1135-1146
    • Beaumont, L.J.1    Hughes, L.2    Pitman, A.J.3
  • 6
    • 84555203706 scopus 로고    scopus 로고
    • Multi-model climate projections for biodiversity risk assessments
    • Fordham DA, Wigley TML, Brook BW. Multi-model climate projections for biodiversity risk assessments. Ecol Appl 2011, 21:3317-3331.
    • (2011) Ecol Appl , vol.21 , pp. 3317-3331
    • Fordham, D.A.1    Wigley, T.M.L.2    Brook, B.W.3
  • 7
    • 80855131004 scopus 로고    scopus 로고
    • Earth system models: an overview
    • Flato GM. Earth system models: an overview. WIREs Clim Change 2011, 2:783-800.
    • (2011) WIREs Clim Change , vol.2 , pp. 783-800
    • Flato, G.M.1
  • 9
    • 48949103628 scopus 로고    scopus 로고
    • Evaluation of the terrestrial carbon cycle, future plant geography and climate-carbon cycle feedbacks using five dynamic global vegetation models (DGVMs)
    • Sitch S, Huntingford C, Gedney N, Levy PE, Lomas M, Piao SL, Betts R, Ciais P, Cox P, Friedlingstein P, et al. Evaluation of the terrestrial carbon cycle, future plant geography and climate-carbon cycle feedbacks using five dynamic global vegetation models (DGVMs). Glob Change Biol 2008, 14:2015-2039.
    • (2008) Glob Change Biol , vol.14 , pp. 2015-2039
    • Sitch, S.1    Huntingford, C.2    Gedney, N.3    Levy, P.E.4    Lomas, M.5    Piao, S.L.6    Betts, R.7    Ciais, P.8    Cox, P.9    Friedlingstein, P.10
  • 12
    • 84871412745 scopus 로고    scopus 로고
    • Improving the contribution of climate model information to decision making: the value and demands of robust decision frameworks
    • Weaver CP, Lempert RJ, Brown C, Hall JA, Revell D, Sarewitz D. Improving the contribution of climate model information to decision making: the value and demands of robust decision frameworks. WIREs Clim Change 2013, 4:39-60.
    • (2013) WIREs Clim Change , vol.4 , pp. 39-60
    • Weaver, C.P.1    Lempert, R.J.2    Brown, C.3    Hall, J.A.4    Revell, D.5    Sarewitz, D.6
  • 13
    • 79957552905 scopus 로고    scopus 로고
    • Representing and using scenarios for responding to climate change
    • Rosentrater LD. Representing and using scenarios for responding to climate change. WIREs Clim Change 2010, 1:253-259.
    • (2010) WIREs Clim Change , vol.1 , pp. 253-259
    • Rosentrater, L.D.1
  • 14
    • 79956258964 scopus 로고    scopus 로고
    • Climate projections and their impact on policy and practice
    • Lemos MC, Rood RB. Climate projections and their impact on policy and practice. WIREs Clim Change 2010, 1:670-682.
    • (2010) WIREs Clim Change , vol.1 , pp. 670-682
    • Lemos, M.C.1    Rood, R.B.2
  • 17
    • 79953787945 scopus 로고    scopus 로고
    • Use of stochastic weather generators for precipitation downscaling
    • Wilks DS. Use of stochastic weather generators for precipitation downscaling. WIREs Clim Change 2010, 1:898-907.
    • (2010) WIREs Clim Change , vol.1 , pp. 898-907
    • Wilks, D.S.1
  • 18
    • 84862062493 scopus 로고    scopus 로고
    • Stochastic weather generators for climate-change downscaling, part II: multivariable and spatially coherent multisite downscaling
    • Wilks DS. Stochastic weather generators for climate-change downscaling, part II: multivariable and spatially coherent multisite downscaling. WIREs Clim Change 2012, 3:267-278.
    • (2012) WIREs Clim Change , vol.3 , pp. 267-278
    • Wilks, D.S.1
  • 19
    • 70450173156 scopus 로고    scopus 로고
    • The potential to narrow uncertainty in regional climate predictions
    • Hawkins E, Sutton R. The potential to narrow uncertainty in regional climate predictions. Bull Am Meteorol Soc 2009, 90:1095-1107.
    • (2009) Bull Am Meteorol Soc , vol.90 , pp. 1095-1107
    • Hawkins, E.1    Sutton, R.2
  • 26
    • 84859413877 scopus 로고    scopus 로고
    • Global warming under old and new scenarios using IPCC climate sensitivity range estimates
    • Rogelj J, Meinshausen M, Knutti R. Global warming under old and new scenarios using IPCC climate sensitivity range estimates. Nat Clim Change 2012, 2:248-253.
    • (2012) Nat Clim Change , vol.2 , pp. 248-253
    • Rogelj, J.1    Meinshausen, M.2    Knutti, R.3
  • 29
    • 84875747385 scopus 로고    scopus 로고
    • Robustness and uncertainties in the new CMIP5 climate model projections
    • Knutti R, Sedlacek J. Robustness and uncertainties in the new CMIP5 climate model projections. Nat Clim Change 2013, 3:369-373.
    • (2013) Nat Clim Change , vol.3 , pp. 369-373
    • Knutti, R.1    Sedlacek, J.2
  • 30
    • 84879122714 scopus 로고    scopus 로고
    • Climate projections for Australia: a first glance at CMIP5
    • Irving DB, Whetton P, Moise AF. Climate projections for Australia: a first glance at CMIP5. Aust Meteorol Oceanogr J 2012, 62:211-225.
    • (2012) Aust Meteorol Oceanogr J , vol.62 , pp. 211-225
    • Irving, D.B.1    Whetton, P.2    Moise, A.F.3
  • 31
    • 84881611874 scopus 로고    scopus 로고
    • A transition from CMIP3 to CMIP5 for climate information providers: the case of surface temperature over eastern North America
    • Markovic M, de Elia R, Frigon A, Matthews HD. A transition from CMIP3 to CMIP5 for climate information providers: the case of surface temperature over eastern North America. Clim Change 2013, 120:197-210.
    • (2013) Clim Change , vol.120 , pp. 197-210
    • Markovic, M.1    de Elia, R.2    Frigon, A.3    Matthews, H.D.4
  • 32
    • 84881621919 scopus 로고    scopus 로고
    • Evaluation of CMIP3 and CMIP5 wind stress climatology using satellite measurements and atmospheric reanalysis products
    • Lee T, Waliser DE, Li JLF, Landerer FW, Gierach MM. Evaluation of CMIP3 and CMIP5 wind stress climatology using satellite measurements and atmospheric reanalysis products. J Clim 2013, 26:5810-5826.
    • (2013) J Clim , vol.26 , pp. 5810-5826
    • Lee, T.1    Waliser, D.E.2    Li, J.L.F.3    Landerer, F.W.4    Gierach, M.M.5
  • 33
    • 70349500205 scopus 로고    scopus 로고
    • Long-term natural variability and 20th century climate change
    • Swanson KL, Sugihara G, Tsonis AA. Long-term natural variability and 20th century climate change. Proc Natl Acad Sci USA 2009, 106:16120-16123.
    • (2009) Proc Natl Acad Sci USA , vol.106 , pp. 16120-16123
    • Swanson, K.L.1    Sugihara, G.2    Tsonis, A.A.3
  • 34
    • 77956978040 scopus 로고    scopus 로고
    • State-of-the-art with regional climate models
    • Rummukainen M. State-of-the-art with regional climate models. WIREs Clim Change 2010, 1:82-96.
    • (2010) WIREs Clim Change , vol.1 , pp. 82-96
    • Rummukainen, M.1
  • 37
    • 0033172619 scopus 로고    scopus 로고
    • An evaluation of statistical and dynamical techniques for downscaling local climate
    • Murphy J. An evaluation of statistical and dynamical techniques for downscaling local climate. J Clim 1999, 12:2256-2284.
    • (1999) J Clim , vol.12 , pp. 2256-2284
    • Murphy, J.1
  • 38
    • 0034114628 scopus 로고    scopus 로고
    • Predictions of climate change over Europe using statistical and dynamical downscaling techniques
    • Murphy J. Predictions of climate change over Europe using statistical and dynamical downscaling techniques. Int J Climatol 2000, 20:489-501.
    • (2000) Int J Climatol , vol.20 , pp. 489-501
    • Murphy, J.1
  • 39
    • 0030419604 scopus 로고    scopus 로고
    • Estimates of climate change in Southern Europe derived from dynamical climate model output
    • Cubasch U, von Storch H, Waszkewitz J, Zorita E. Estimates of climate change in Southern Europe derived from dynamical climate model output. Clim Res 1996, 7:129-149.
    • (1996) Clim Res , vol.7 , pp. 129-149
    • Cubasch, U.1    von Storch, H.2    Waszkewitz, J.3    Zorita, E.4
  • 40
    • 33646439129 scopus 로고    scopus 로고
    • Guidelines for assessing the suitability of spatial climate data sets
    • Daly C. Guidelines for assessing the suitability of spatial climate data sets. Int J Climatol 2006, 26:707-721.
    • (2006) Int J Climatol , vol.26 , pp. 707-721
    • Daly, C.1
  • 42
    • 84906240857 scopus 로고    scopus 로고
    • 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 Working Paper 5;, 30.
    • Mitchell TD, Carter TR, Jones PD, Hulme M, New M. 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 Working Paper 5; 2004, 30.
    • (2004)
    • Mitchell, T.D.1    Carter, T.R.2    Jones, P.D.3    Hulme, M.4    New, M.5
  • 43
    • 85031859234 scopus 로고    scopus 로고
    • WORLDCLIM - a set of global climate layers (climate grids), Available at: (Accessed April 2014).
    • Hijmans R, Cameron S, Parra J, Jones P, Jarvis A. WORLDCLIM - a set of global climate layers (climate grids), 2011. Available at: http://www.worldclim.org/. (Accessed April 2014).
    • (2011)
    • Hijmans, R.1    Cameron, S.2    Parra, J.3    Jones, P.4    Jarvis, A.5
  • 44
    • 67349209900 scopus 로고    scopus 로고
    • Fine-resolution climate projections enhance regional climate change impact studies
    • Maurer EP, Brekke L, Pruitt T, Duffy PB. Fine-resolution climate projections enhance regional climate change impact studies. Eos Trans AGU 2007, 88:504.
    • (2007) Eos Trans AGU , vol.88 , pp. 504
    • Maurer, E.P.1    Brekke, L.2    Pruitt, T.3    Duffy, P.B.4
  • 46
    • 84878809906 scopus 로고    scopus 로고
    • The Statistical DownScaling Model: insights from one decade of application
    • Wilby RL, Dawson CW. The Statistical DownScaling Model: insights from one decade of application. Int J Climatoll 2013, 33:1707-1719.
    • (2013) Int J Climatoll , vol.33 , pp. 1707-1719
    • Wilby, R.L.1    Dawson, C.W.2
  • 48
    • 84892273987 scopus 로고    scopus 로고
    • An updated description of the conformal-cubic atmospheric model
    • Hamilton K, Ohfuchi W, eds. New York: Springer
    • McGregor JL, Dix MR. An updated description of the conformal-cubic atmospheric model. In: Hamilton K, Ohfuchi W, eds. High Resolution Simulation of the Atmosphere and Ocean. New York: Springer; 2008, 51-76.
    • (2008) High Resolution Simulation of the Atmosphere and Ocean , pp. 51-76
    • McGregor, J.L.1    Dix, M.R.2
  • 49
    • 39749134275 scopus 로고    scopus 로고
    • A time-split nonhydrostatic atmospheric model for research and NWP applications
    • Skamarock WC, Klemp JB. A time-split nonhydrostatic atmospheric model for research and NWP applications. J Comput Phys 2007, 227:3465-3485.
    • (2007) J Comput Phys , vol.227 , pp. 3465-3485
    • Skamarock, W.C.1    Klemp, J.B.2
  • 50
    • 84906230113 scopus 로고    scopus 로고
    • A description of the Advanced Research WRF, Version 2. National Center for Atmospheric Research Technical Notes
    • Skamarock WC, Klemp JB, Dudhia J, Gill DO, Barker DM, Wang W, Powers JG. A description of the Advanced Research WRF, Version 2. National Center for Atmospheric Research Technical Notes; 2005.
    • (2005)
    • Skamarock, W.C.1    Klemp, J.B.2    Dudhia, J.3    Gill, D.O.4    Barker, D.M.5    Wang, W.6    Powers, J.G.7
  • 52
    • 84906267379 scopus 로고    scopus 로고
    • James Cook University Tropical Data Hub. Australia decadal climate change predictions (∼5km resolution), Available at: (Accessed April 2014).
    • James Cook University Tropical Data Hub. Australia decadal climate change predictions (∼5km resolution), 2013. Available at: http://www.jcu.edu.au/tdh/datasets/a308884e-87a1-49f4-b7f2-be19d3123018.tar.gz. (Accessed April 2014).
    • (2013)
  • 54
    • 83355174247 scopus 로고    scopus 로고
    • Representing two centuries of past and future climate for assessing risks to biodiversity in Europe
    • Fronzek S, Carter TR, Jylha K. Representing two centuries of past and future climate for assessing risks to biodiversity in Europe. Glob Ecol Biogeogr 2012, 21:19-35.
    • (2012) Glob Ecol Biogeogr , vol.21 , pp. 19-35
    • Fronzek, S.1    Carter, T.R.2    Jylha, K.3
  • 55
    • 36348961925 scopus 로고    scopus 로고
    • Evaluation of the hydrological cycle over the Mississippi River basin as simulated by the Canadian regional climate model (CRCM)
    • Music B, Caya D. Evaluation of the hydrological cycle over the Mississippi River basin as simulated by the Canadian regional climate model (CRCM). J Hydrometeorol 2007, 8:969-988.
    • (2007) J Hydrometeorol , vol.8 , pp. 969-988
    • Music, B.1    Caya, D.2
  • 56
    • 0028552275 scopus 로고
    • A statistical-topographic model for mapping climatological precipitation over Mountainous Terrain
    • Daly C, Neilson RP, Phillips DL. A statistical-topographic model for mapping climatological precipitation over Mountainous Terrain. J Appl Meteorol 1994, 33:140-158.
    • (1994) J Appl Meteorol , vol.33 , pp. 140-158
    • Daly, C.1    Neilson, R.P.2    Phillips, D.L.3
  • 61
    • 21344447510 scopus 로고    scopus 로고
    • Predicting species distributions: use of climatic parameters in BIOCLIM and its impact on predictions of species' current and future distributions
    • Beaumont LJ, Hughes L, Poulsen M. Predicting species distributions: use of climatic parameters in BIOCLIM and its impact on predictions of species' current and future distributions. Ecol Model 2005, 186:250-269.
    • (2005) Ecol Model , vol.186 , pp. 250-269
    • Beaumont, L.J.1    Hughes, L.2    Poulsen, M.3
  • 62
    • 84884977460 scopus 로고    scopus 로고
    • To Be Or Not to Be? Variable selection can change the projected fate of a threatened species under future climate
    • doi: 10.1111/emr.12055.
    • Harris RM, Porfirio LL, Hugh S, Lee G, Bindoff NL, Mackey B, Beeton NJ. To Be Or Not to Be? Variable selection can change the projected fate of a threatened species under future climate. Ecol Manage Restor 2014, 14:1-5. doi: 10.1111/emr.12055.
    • (2014) Ecol Manage Restor , vol.14 , pp. 1-5
    • Harris, R.M.1    Porfirio, L.L.2    Hugh, S.3    Lee, G.4    Bindoff, N.L.5    Mackey, B.6    Beeton, N.J.7
  • 63
    • 80053621701 scopus 로고    scopus 로고
    • Choice of predictor variables as a source of uncertainty in continental-scale species distribution modelling under climate change
    • Synes NW, Osborne PE. Choice of predictor variables as a source of uncertainty in continental-scale species distribution modelling under climate change. Glob Ecol Biogeogr 2011, 20:904-914.
    • (2011) Glob Ecol Biogeogr , vol.20 , pp. 904-914
    • Synes, N.W.1    Osborne, P.E.2
  • 64
    • 84883285342 scopus 로고    scopus 로고
    • Selecting from correlated climate variables: a major source of uncertainty for predicting species distributions under climate change
    • Braunisch V, Coppes J, Arlettaz R, Suchant R, Schmid H, Bollmann K. Selecting from correlated climate variables: a major source of uncertainty for predicting species distributions under climate change. Ecography 2013, 36:971-983.
    • (2013) Ecography , vol.36 , pp. 971-983
    • Braunisch, V.1    Coppes, J.2    Arlettaz, R.3    Suchant, R.4    Schmid, H.5    Bollmann, K.6
  • 65
    • 64649104799 scopus 로고    scopus 로고
    • Different climatic envelopes among invasive populations may lead to underestimations of current and future biological invasions
    • Beaumont LJ, Gallagher RV, Thuiller W, Downey PO, Leishman MR, Hughes L. Different climatic envelopes among invasive populations may lead to underestimations of current and future biological invasions. Divers Distrib 2009, 15:409-420.
    • (2009) Divers Distrib , vol.15 , pp. 409-420
    • Beaumont, L.J.1    Gallagher, R.V.2    Thuiller, W.3    Downey, P.O.4    Leishman, M.R.5    Hughes, L.6
  • 67
    • 70350397840 scopus 로고    scopus 로고
    • Ensemble models predict Important Bird Areas in southern Africa will become less effective for conserving endemic birds under climate change
    • Coetzee BWT, Robertson MP, Erasmus BFN, van Rensburg BJ, Thuiller W. Ensemble models predict Important Bird Areas in southern Africa will become less effective for conserving endemic birds under climate change. Glob Ecol Biogeogr 2009, 18:701-710.
    • (2009) Glob Ecol Biogeogr , vol.18 , pp. 701-710
    • Coetzee, B.W.T.1    Robertson, M.P.2    Erasmus, B.F.N.3    van Rensburg, B.J.4    Thuiller, W.5
  • 68
    • 78650029343 scopus 로고    scopus 로고
    • The art of modelling range-shifting species
    • Elith J, Kearney M, Phillips S. The art of modelling range-shifting species. Methods Ecol Evol 2010, 1:330-342.
    • (2010) Methods Ecol Evol , vol.1 , pp. 330-342
    • Elith, J.1    Kearney, M.2    Phillips, S.3
  • 69
    • 70449518430 scopus 로고    scopus 로고
    • The performance of state-of-the-art modelling techniques depends on geographical distribution of species
    • Marmion M, Luoto M, Heikkinen RK, Thuiller W. The performance of state-of-the-art modelling techniques depends on geographical distribution of species. Ecol Model 2009, 220:3512-3520.
    • (2009) Ecol Model , vol.220 , pp. 3512-3520
    • Marmion, M.1    Luoto, M.2    Heikkinen, R.K.3    Thuiller, W.4
  • 71
    • 84858446826 scopus 로고    scopus 로고
    • Exploring consensus in 21st century projections of climatically suitable areas for African vertebrates
    • Garcia RA, Burgess ND, Cabeza M, Rahbek C, Araujo MB. Exploring consensus in 21st century projections of climatically suitable areas for African vertebrates. Glob Change Biol 2012, 18:1253-1269.
    • (2012) Glob Change Biol , vol.18 , pp. 1253-1269
    • Garcia, R.A.1    Burgess, N.D.2    Cabeza, M.3    Rahbek, C.4    Araujo, M.B.5
  • 74
    • 84876672531 scopus 로고    scopus 로고
    • Irreversible does not mean unavoidable
    • Matthews HD, Solomon S. Irreversible does not mean unavoidable. Science 2013, 340:438-439.
    • (2013) Science , vol.340 , pp. 438-439
    • Matthews, H.D.1    Solomon, S.2
  • 76
    • 34447557035 scopus 로고    scopus 로고
    • Where will species go? Incorporating new advances in climate modelling into projections of species distributions
    • Beaumont LJ, Pitman AJ, Poulsen M, Hughes L. Where will species go? Incorporating new advances in climate modelling into projections of species distributions. Glob Change Biol 2007, 13:1368-1385.
    • (2007) Glob Change Biol , vol.13 , pp. 1368-1385
    • Beaumont, L.J.1    Pitman, A.J.2    Poulsen, M.3    Hughes, L.4
  • 79
    • 84881167804 scopus 로고    scopus 로고
    • A score-based method for assessing the performance of GCMs: a case study of southeastern Australia
    • Fu G, Liu Z, Charles SP, Xu Z, Yao Z. A score-based method for assessing the performance of GCMs: a case study of southeastern Australia. J Geophys Res: Atmos 2013, 118:4154-4167.
    • (2013) J Geophys Res: Atmos , vol.118 , pp. 4154-4167
    • Fu, G.1    Liu, Z.2    Charles, S.P.3    Xu, Z.4    Yao, Z.5
  • 80
    • 34648846197 scopus 로고    scopus 로고
    • Evaluation of the AR4 climate models' simulated daily maximum temperature, minimum temperature, and precipitation over Australia using probability density functions
    • Perkins SE, Pitman AJ, Holbrook NJ, McAneney J. Evaluation of the AR4 climate models' simulated daily maximum temperature, minimum temperature, and precipitation over Australia using probability density functions. J Clim 2007, 20:4356-4376.
    • (2007) J Clim , vol.20 , pp. 4356-4376
    • Perkins, S.E.1    Pitman, A.J.2    Holbrook, N.J.3    McAneney, J.4
  • 81
    • 84866533593 scopus 로고    scopus 로고
    • On the applicability of temperature and precipitation data from CMIP3 for China
    • doi:10.1371/journal.pone.0044659.
    • Miao CY, Duan QY, Yang L, Borthwick AGL. On the applicability of temperature and precipitation data from CMIP3 for China. PLos One 2012, 7:e44659. doi:10.1371/journal.pone.0044659.
    • (2012) PLos One , vol.7
    • Miao, C.Y.1    Duan, Q.Y.2    Yang, L.3    Borthwick, A.G.L.4
  • 82
    • 80053463752 scopus 로고    scopus 로고
    • Analysis of uncertainty in large scale climate change projections over Europe
    • Prein AF, Gobiet A, Truhetz H. Analysis of uncertainty in large scale climate change projections over Europe. Meteorol Z 2011, 20:383-395.
    • (2011) Meteorol Z , vol.20 , pp. 383-395
    • Prein, A.F.1    Gobiet, A.2    Truhetz, H.3
  • 83
    • 84878153131 scopus 로고    scopus 로고
    • Downscaling extremes: an intercomparison of multiple methods for future climate
    • Burger G, Sobie SR, Cannon AJ, Werner AT, Murdock TQ. Downscaling extremes: an intercomparison of multiple methods for future climate. J Clim 2013, 26:3429-3449.
    • (2013) J Clim , vol.26 , pp. 3429-3449
    • Burger, G.1    Sobie, S.R.2    Cannon, A.J.3    Werner, A.T.4    Murdock, T.Q.5
  • 84
    • 84875375283 scopus 로고    scopus 로고
    • Uncertainty assessments of climate change projections over South America
    • Torres RR, Marengo JA. Uncertainty assessments of climate change projections over South America. Theor Appl Climatol 2013, 112:253-272.
    • (2013) Theor Appl Climatol , vol.112 , pp. 253-272
    • Torres, R.R.1    Marengo, J.A.2
  • 86
    • 77954370030 scopus 로고    scopus 로고
    • Challenges in combining projections from multiple climate models
    • Knutti R, Furrer R, Tebaldi C, Cermak J, Meehl GA. Challenges in combining projections from multiple climate models. J Clim 2010, 23:2739-2758.
    • (2010) J Clim , vol.23 , pp. 2739-2758
    • Knutti, R.1    Furrer, R.2    Tebaldi, C.3    Cermak, J.4    Meehl, G.A.5
  • 87
    • 79955369900 scopus 로고    scopus 로고
    • On the effective number of climate models
    • Pennell C, Reichler T. On the effective number of climate models. J Clim 2011, 24:2358-2367.
    • (2011) J Clim , vol.24 , pp. 2358-2367
    • Pennell, C.1    Reichler, T.2
  • 89
    • 84868703184 scopus 로고    scopus 로고
    • Use of representative climate futures in impact and adaptation assessment
    • Whetton P, Hennessy K, Clarke J, McInnes K, Kent D. Use of representative climate futures in impact and adaptation assessment. Clim Change 2012, 115:433-442.
    • (2012) Clim Change , vol.115 , pp. 433-442
    • Whetton, P.1    Hennessy, K.2    Clarke, J.3    McInnes, K.4    Kent, D.5
  • 90
    • 84884704659 scopus 로고    scopus 로고
    • Does increasing the spatial resolution of a regional climate model improve the simulated daily precipitation?
    • doi: 10.1007/s00382-012-1568-9.
    • Chan SC, Kendon EJ, Fowler HJ, Blenkinsop S, Ferro CAT, Stephenson DB. Does increasing the spatial resolution of a regional climate model improve the simulated daily precipitation? Clim Dyn 2013, 41:1475-1495. doi: 10.1007/s00382-012-1568-9.
    • (2013) Clim Dyn , vol.41 , pp. 1475-1495
    • Chan, S.C.1    Kendon, E.J.2    Fowler, H.J.3    Blenkinsop, S.4    Ferro, C.A.T.5    Stephenson, D.B.6
  • 91
    • 33750617761 scopus 로고    scopus 로고
    • Robust responses of the hydrological cycle to global warming
    • Held IM, Soden BJ. Robust responses of the hydrological cycle to global warming. J Clim 2006, 19:5686-5699.
    • (2006) J Clim , vol.19 , pp. 5686-5699
    • Held, I.M.1    Soden, B.J.2
  • 93
    • 0034760369 scopus 로고    scopus 로고
    • Comparison of agricultural impacts of climate change calculated from high and low resolution climate model scenarios: Part I. The uncertainty due to spatial scale
    • Mearns LO, Easterling W, Hays C, Marx D. Comparison of agricultural impacts of climate change calculated from high and low resolution climate model scenarios: Part I. The uncertainty due to spatial scale. Clim Change 2001, 51:131-172.
    • (2001) Clim Change , vol.51 , pp. 131-172
    • Mearns, L.O.1    Easterling, W.2    Hays, C.3    Marx, D.4
  • 94
    • 0033608661 scopus 로고    scopus 로고
    • Comparative responses of EPIC and CERES crop models to high and low resolution climate change scenarios
    • Mearns LO, Mavromatis T, Tsvetsinskaya E, Hays C, Easterling W. Comparative responses of EPIC and CERES crop models to high and low resolution climate change scenarios. J Geophys Res 1999, 104:6623-6646.
    • (1999) J Geophys Res , vol.104 , pp. 6623-6646
    • Mearns, L.O.1    Mavromatis, T.2    Tsvetsinskaya, E.3    Hays, C.4    Easterling, W.5
  • 95
    • 0142152640 scopus 로고    scopus 로고
    • Issues in the impacts of climate variability and change on agriculture - applications to the southeastern United States
    • Mearns LO. Issues in the impacts of climate variability and change on agriculture - applications to the southeastern United States. Clim Change 2003, 60:1-6.
    • (2003) Clim Change , vol.60 , pp. 1-6
    • Mearns, L.O.1
  • 96
    • 77953945563 scopus 로고    scopus 로고
    • The effects of climate data precision on fitting and projecting species niche models
    • Kriticos DJ, Leriche A. The effects of climate data precision on fitting and projecting species niche models. Ecography 2010, 33:115-127.
    • (2010) Ecography , vol.33 , pp. 115-127
    • Kriticos, D.J.1    Leriche, A.2
  • 97
    • 42949101271 scopus 로고    scopus 로고
    • Spatial scale affects bioclimate model projections of climate change impacts on mountain plants
    • Trivedi MR, Berry PM, Morecroft MD, Dawson TP. Spatial scale affects bioclimate model projections of climate change impacts on mountain plants. Glob Change Biol 2008, 14:1089-1103.
    • (2008) Glob Change Biol , vol.14 , pp. 1089-1103
    • Trivedi, M.R.1    Berry, P.M.2    Morecroft, M.D.3    Dawson, T.P.4
  • 98
    • 59849103853 scopus 로고    scopus 로고
    • Climate change at the landscape scale: predicting fine-grained spatial heterogeneity in warming and potential refugia for vegetation
    • Ashcroft MB, Chisholm LA, French KO. Climate change at the landscape scale: predicting fine-grained spatial heterogeneity in warming and potential refugia for vegetation. Glob Change Biol 2009, 15:656-667.
    • (2009) Glob Change Biol , vol.15 , pp. 656-667
    • Ashcroft, M.B.1    Chisholm, L.A.2    French, K.O.3
  • 99
    • 84906281167 scopus 로고    scopus 로고
    • ANUCLIM Version 6.1, User Guide.
    • Xu T, Hutchinson M. ANUCLIM Version 6.1, User Guide. 2011.
    • (2011)
    • Xu, T.1    Hutchinson, M.2
  • 100
    • 84906278793 scopus 로고    scopus 로고
    • IPCC-TGICA. General Guidelines on the Use of Scenario Data for Climate Impact and Adaptation Assessment. Version 2.
    • IPCC-TGICA. General Guidelines on the Use of Scenario Data for Climate Impact and Adaptation Assessment. Version 2. 2007.
    • (2007)
  • 102
    • 33845633261 scopus 로고    scopus 로고
    • Ensemble forecasting of species distributions
    • Araújo MB, New M. Ensemble forecasting of species distributions. Trends Ecol Evol 2007, 22:42-47.
    • (2007) Trends Ecol Evol , vol.22 , pp. 42-47
    • Araújo, M.B.1    New, M.2
  • 104
    • 83455213186 scopus 로고    scopus 로고
    • Mapping model agreement on future climate projections
    • doi:10.1029/2011GL049863.
    • Tebaldi C, Arblaster JM, Knutti R. Mapping model agreement on future climate projections. Geophys Res Lett 2011, 38:L23701. doi:10.1029/2011GL049863.
    • (2011) Geophys Res Lett , vol.38
    • Tebaldi, C.1    Arblaster, J.M.2    Knutti, R.3
  • 106
    • 78751515677 scopus 로고    scopus 로고
    • Ecological forecasting under climatic data uncertainty: a case study in phenological modeling
    • doi: 10.1088/1748-9326/1085/1084/044014.
    • Cook BI, Terando A, Steiner A. Ecological forecasting under climatic data uncertainty: a case study in phenological modeling. Environ Res Lett 2010, 5:044014. doi: 10.1088/1748-9326/1085/1084/044014.
    • (2010) Environ Res Lett , vol.5 , pp. 044014
    • Cook, B.I.1    Terando, A.2    Steiner, A.3
  • 107
    • 65549087514 scopus 로고    scopus 로고
    • Climate change and plant invasions: restoration opportunities ahead?
    • Bradley BA, Oppenheimer M, Wilcove DS. Climate change and plant invasions: restoration opportunities ahead? Glob Change Biol 2009, 15:1511-1521.
    • (2009) Glob Change Biol , vol.15 , pp. 1511-1521
    • Bradley, B.A.1    Oppenheimer, M.2    Wilcove, D.S.3
  • 108
    • 48949120836 scopus 로고    scopus 로고
    • Will climate change be beneficial or detrimental to the invasive swede midge in North America? Contrasting predictions using climate projections from different general circulation models
    • Mika AM, Weiss RM, Olfert O, Hallett RH, Newman JA. Will climate change be beneficial or detrimental to the invasive swede midge in North America? Contrasting predictions using climate projections from different general circulation models. Glob Change Biol 2008, 14:1721-1733.
    • (2008) Glob Change Biol , vol.14 , pp. 1721-1733
    • Mika, A.M.1    Weiss, R.M.2    Olfert, O.3    Hallett, R.H.4    Newman, J.A.5
  • 109
    • 0000429072 scopus 로고    scopus 로고
    • Impacts of extreme weather and climate on terrestrial biota
    • Parmesan C, Root TL, Willig MR. Impacts of extreme weather and climate on terrestrial biota. Bull Am Meteorol Soc 2000, 81:443-450.
    • (2000) Bull Am Meteorol Soc , vol.81 , pp. 443-450
    • Parmesan, C.1    Root, T.L.2    Willig, M.R.3
  • 110
    • 80053558242 scopus 로고    scopus 로고
    • Early onset of significant local warming in low latitude countries
    • doi: 10.1088/1748-9326/1086/1083/034009.
    • Mahlstein I, Knutti R, Solomon S, Portmann RW. Early onset of significant local warming in low latitude countries. Environ Res Lett 2011, 6:034009. doi: 10.1088/1748-9326/1086/1083/034009.
    • (2011) Environ Res Lett , vol.6 , pp. 034009
    • Mahlstein, I.1    Knutti, R.2    Solomon, S.3    Portmann, R.W.4
  • 111
    • 66049099783 scopus 로고    scopus 로고
    • Assessing trends in observed and modelled climate extremes over Australia in relation to future projections
    • Alexander LV, Arblaster JM. Assessing trends in observed and modelled climate extremes over Australia in relation to future projections. Int J Climatol 2009, 29:417-435.
    • (2009) Int J Climatol , vol.29 , pp. 417-435
    • Alexander, L.V.1    Arblaster, J.M.2
  • 113
    • 35348933854 scopus 로고    scopus 로고
    • Linking climate change modelling to impacts studies: recent advances in downscaling techniques for hydrological modelling
    • Fowler HJ, Blenkinsop S, Tebaldi C. Linking climate change modelling to impacts studies: recent advances in downscaling techniques for hydrological modelling. Int J Climatol 2007, 27:1547-1578.
    • (2007) Int J Climatol , vol.27 , pp. 1547-1578
    • Fowler, H.J.1    Blenkinsop, S.2    Tebaldi, C.3
  • 114
    • 0033429287 scopus 로고    scopus 로고
    • The weather generation game: a review of stochastic weather models
    • Wilks DS, Wilby RL. The weather generation game: a review of stochastic weather models. Prog Phys Geogr 1999, 23:329-357.
    • (1999) Prog Phys Geogr , vol.23 , pp. 329-357
    • Wilks, D.S.1    Wilby, R.L.2
  • 115
    • 0002956653 scopus 로고
    • Adapting stochastic weather generation algorithms for climate change studies
    • Wilks D. Adapting stochastic weather generation algorithms for climate change studies. Clim Change 1992, 22:67-84.
    • (1992) Clim Change , vol.22 , pp. 67-84
    • Wilks, D.1
  • 116
    • 84877663178 scopus 로고    scopus 로고
    • Prediction of the impact of climate change on drought: an evaluation of six UK catchments using two stochastic approaches
    • Chun KP, Wheater H, Onof C. Prediction of the impact of climate change on drought: an evaluation of six UK catchments using two stochastic approaches. Hydrol Process 2013, 27:1600-1614.
    • (2013) Hydrol Process , vol.27 , pp. 1600-1614
    • Chun, K.P.1    Wheater, H.2    Onof, C.3
  • 117
    • 84906259254 scopus 로고    scopus 로고
    • The Intergovernmental Panel on Climate Change website provides all of the Assessment Reports, Special Reports, Supplementary Reports, Guidelines, and Supporting documentation.
    • The Intergovernmental Panel on Climate Change website (http://www.ipcc.ch/) provides all of the Assessment Reports, Special Reports, Supplementary Reports, Guidelines, and Supporting documentation.
  • 118
    • 83355169920 scopus 로고    scopus 로고
    • Scenarios as a tool for large-scale ecological research: experiences and legacy of the ALARM project
    • Settele J, Carter TR, Kuhn I, Spangenberg JH, Sykes MT. Scenarios as a tool for large-scale ecological research: experiences and legacy of the ALARM project. Glob Ecol Biogeogr 2012, 21:1-4.
    • (2012) Glob Ecol Biogeogr , vol.21 , pp. 1-4
    • Settele, J.1    Carter, T.R.2    Kuhn, I.3    Spangenberg, J.H.4    Sykes, M.T.5


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