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Volumn 10, Issue 2, 2015, Pages

How model and input uncertainty impact maize yield simulations in West Africa

Author keywords

aggregation; APSIM; LPJmL; scale; spatial variability; temporal variability

Indexed keywords

AGGLOMERATION; AGRICULTURE; CROPS; CULTIVATION; FOOD SUPPLY; INPUT OUTPUT PROGRAMS; SOILS;

EID: 84923827052     PISSN: 17489318     EISSN: 17489326     Source Type: Journal    
DOI: 10.1088/1748-9326/10/2/024017     Document Type: Article
Times cited : (39)

References (44)
  • 1
    • 84877323878 scopus 로고    scopus 로고
    • Characteristic 'fingerprints' of crop model responses to weather input data at different spatial resolutions
    • Angulo C, Rötter R, Trnka M, Pirttioja N, Gaiser T, Hlavinka P and Ewert F 2013 Characteristic 'fingerprints' of crop model responses to weather input data at different spatial resolutions Eur. J. Agron. 49 104-14
    • (2013) Eur. J. Agron. , vol.49 , pp. 104-114
    • Angulo, C.1    Rötter, R.2    Trnka, M.3    Pirttioja, N.4    Gaiser, T.5    Hlavinka, P.6    Ewert, F.7
  • 2
    • 84883377040 scopus 로고    scopus 로고
    • Uncertainty in simulating wheat yields under climate change
    • Asseng S et al 2013 Uncertainty in simulating wheat yields under climate change Nat. Clim. Change 3 827-32
    • (2013) Nat. Clim. Change , vol.3 , pp. 827-832
    • Asseng, S.1
  • 4
    • 84880594696 scopus 로고    scopus 로고
    • A description of the global land-surface precipitation data products of the Global Precipitation Climatology Centre with sample applications including centennial (trend) analysis from 1901-present
    • Becker A, Finger P, Meyer-Christoffer A, Rudolf B, Schamm K, Schneider U and Ziese M 2013 A description of the global land-surface precipitation data products of the Global Precipitation Climatology Centre with sample applications including centennial (trend) analysis from 1901-present Earth Syst. Sci. Data 5 71-99
    • (2013) Earth Syst. Sci. Data , vol.5 , pp. 71-99
    • Becker, A.1    Finger, P.2    Meyer-Christoffer, A.3    Rudolf, B.4    Schamm, K.5    Schneider, U.6    Ziese, M.7
  • 5
    • 78651421236 scopus 로고    scopus 로고
    • Including tropical croplands in a terrestrial biosphere model: Application to West Africa
    • Berg A, Sultan B and de Noblet-Ducoudré N 2010 Including tropical croplands in a terrestrial biosphere model: application to West Africa Clim. Change 104 755-82
    • (2010) Clim. Change , vol.104 , pp. 755-782
    • Berg, A.1    Sultan, B.2    De Noblet-Ducoudré, N.3
  • 6
    • 33947374404 scopus 로고    scopus 로고
    • Modelling the role of agriculture for the 20th century global terrestrial carbon balance
    • Bondeau A et al 2007 Modelling the role of agriculture for the 20th century global terrestrial carbon balance Glob. Change Biol. 13 679-706
    • (2007) Glob. Change Biol. , vol.13 , pp. 679-706
    • Bondeau, A.1
  • 8
    • 0035419740 scopus 로고    scopus 로고
    • Early detection of the start of the wet season in semiarid tropical climates of western Africa
    • Dodd D E S and Jolliffe I T 2001 Early detection of the start of the wet season in semiarid tropical climates of western Africa Int. J. Climatol. 21 1251-62
    • (2001) Int. J. Climatol. , vol.21 , pp. 1251-1262
    • Dodd, D.E.S.1    Jolliffe, I.T.2
  • 9
    • 84887871507 scopus 로고    scopus 로고
    • Sensitivities of crop models toextreme weather conditions during flowering period demonstrated for maize and winter wheat in Austria
    • Eitzinger J et al 2012 Sensitivities of crop models toextreme weather conditions during flowering period demonstrated for maize and winter wheat in Austria J. Agric. Sci. 151 813-35
    • (2012) J. Agric. Sci. , vol.151 , pp. 813-835
    • Eitzinger, J.1
  • 11
    • 77950326782 scopus 로고    scopus 로고
    • Virtual water content of temperate cereals and maize: Present and potential future patterns
    • Fader M, Rost S, Müller C, Bondeau A and Gerten D 2010 Virtual water content of temperate cereals and maize: present and potential future patterns J. Hydrol. 384 218-31
    • (2010) J. Hydrol. , vol.384 , pp. 218-231
    • Fader, M.1    Rost, S.2    Müller, C.3    Bondeau, A.4    Gerten, D.5
  • 12
    • 84923802721 scopus 로고    scopus 로고
    • FAO FAOSTAT Online
    • FAO 2013 FAOSTAT Online: (http://faostat.fao.org/default.aspx?lang=en)
    • (2013)
  • 14
    • 0033978825 scopus 로고    scopus 로고
    • A comparison of two approaches for modelling cassava (Manihot esculenta Crantz.) crop growth
    • Gray V M 2000 A comparison of two approaches for modelling cassava (Manihot esculenta Crantz.) crop growth Ann. Bot. 85 77-90
    • (2000) Ann. Bot. , vol.85 , pp. 77-90
    • Gray, V.M.1
  • 15
    • 0033865059 scopus 로고    scopus 로고
    • Scaling-up crop models for climate variability applications
    • Hansen J W and Jones J W 2000 Scaling-up crop models for climate variability applications Agric. Syst. 65 43-72
    • (2000) Agric. Syst. , vol.65 , pp. 43-72
    • Hansen, J.W.1    Jones, J.W.2
  • 16
    • 0030318804 scopus 로고    scopus 로고
    • BIOME3: An equilibrium terrestrial biosphere model based on ecophysiological constraints, resource availability, and competition among plant functional types
    • Haxeltine A and Prentice I C 1996 BIOME3: an equilibrium terrestrial biosphere model based on ecophysiological constraints, resource availability, and competition among plant functional types Glob. Biogeochem. Cycles 10 693-709
    • (1996) Glob. Biogeochem. Cycles , vol.10 , pp. 693-709
    • Haxeltine, A.1    Prentice, I.C.2
  • 17
    • 0037232266 scopus 로고    scopus 로고
    • An overview of APSIM, a model designed for farming systems simulation
    • Keating B A et al 2003 An overview of APSIM, a model designed for farming systems simulation Eur. J. Agron. 18 267-88
    • (2003) Eur. J. Agron. , vol.18 , pp. 267-288
    • Keating, B.A.1
  • 20
    • 0034760369 scopus 로고    scopus 로고
    • Comparison of agricultural impacts of climate change calculated from high and low resolution climate change scenarios: I. the uncertainty due to spatial scale
    • Mearns L O, Easterling W, Hays C and Marx D 2001 Comparison of agricultural impacts of climate change calculated from high and low resolution climate change scenarios: I. The uncertainty due to spatial scale Clim. Change 51 131-72
    • (2001) Clim. Change , vol.51 , pp. 131-172
    • Mearns, L.O.1    Easterling, W.2    Hays, C.3    Marx, D.4
  • 21
    • 20444471429 scopus 로고    scopus 로고
    • An improved method of constructing a database of monthly climate observations and associated high-resolution grids
    • Mitchell T D and Jones P D 2005 An improved method of constructing a database of monthly climate observations and associated high-resolution grids Int. J. Climatol. 25 693-712
    • (2005) Int. J. Climatol. , vol.25 , pp. 693-712
    • Mitchell, T.D.1    Jones, P.D.2
  • 22
    • 0000358033 scopus 로고
    • Climate and the efficiency of crop production in Britain
    • Monteith J L 1977 Climate and the efficiency of crop production in Britain Phil. Trans. R. Soc. B 281 277-94
    • (1977) Phil. Trans. R. Soc. , vol.281 , pp. 277-294
    • Monteith, J.L.1
  • 25
    • 0033671967 scopus 로고    scopus 로고
    • Comparison of scales of climate and soil data for aggregating simulated yields of winter wheat in Denmark
    • Olesen J E, Bocher P K and Jensen T 2000 Comparison of scales of climate and soil data for aggregating simulated yields of winter wheat in Denmark Agric. Ecosyst. Environ. 82 213-28
    • (2000) Agric. Ecosyst. Environ. , vol.82 , pp. 213-228
    • Olesen, J.E.1    Bocher, P.K.2    Jensen, T.3
  • 26
    • 79960617267 scopus 로고    scopus 로고
    • Simulation of winter wheat yield and its variability in different climates of Europe: A comparison of eight crop growth models
    • Palosuo T et al 2011 Simulation of winter wheat yield and its variability in different climates of Europe: a comparison of eight crop growth models Eur. J. Agron. 35 103-14
    • (2011) Eur. J. Agron. , vol.35 , pp. 103-114
    • Palosuo, T.1
  • 27
    • 0001313744 scopus 로고
    • Comparison of the wheat simulation models Afrcwheat2, Ceres-wheat and Swheat for non-limiting conditions of crop growth
    • Porter J R, Jamieson P D and Wilson D R 1993 Comparison of the wheat simulation models Afrcwheat2, Ceres-wheat and Swheat for non-limiting conditions of crop growth Fields Crop Res. 33 131-57
    • (1993) Fields Crop Res. , vol.33 , pp. 131-157
    • Porter, J.R.1    Jamieson, P.D.2    Wilson, D.R.3
  • 28
    • 77954168912 scopus 로고    scopus 로고
    • MIRCA2000 - Global monthly irrigated and rainfed crop areas around the year 2000: A new high-resolution data set for agricultural and hydrological modeling
    • Portmann F T, Siebert S and Döll P 2010 MIRCA2000 - Global monthly irrigated and rainfed crop areas around the year 2000: a new high-resolution data set for agricultural and hydrological modeling Glob. Biogeochem. Cycles 24 1-24
    • (2010) Glob. Biogeochem. Cycles , vol.24 , pp. 1-24
    • Portmann, F.T.1    Siebert, S.2    Döll, P.3
  • 29
    • 84879736746 scopus 로고    scopus 로고
    • How satellite rainfall estimate errors may impact rainfed cereal yield simulation in West Africa
    • Ramarohetra J, Sultan B, Baron C, Gaiser T and Gosset M 2013 How satellite rainfall estimate errors may impact rainfed cereal yield simulation in West Africa Agric. For. Meteorol. 180 118-31
    • (2013) Agric. For. Meteorol. , vol.180 , pp. 118-131
    • Ramarohetra, J.1    Sultan, B.2    Baron, C.3    Gaiser, T.4    Gosset, M.5
  • 30
    • 84895794881 scopus 로고    scopus 로고
    • Assessing agricultural risks of climate change in the 21st century in a global gridded crop model intercomparison
    • Rosenzweig C et al 2013 Assessing agricultural risks of climate change in the 21st century in a global gridded crop model intercomparison Proc. Natl Acad. Sci. USA 111 3268-73
    • (2013) Proc. Natl Acad. Sci. USA , vol.111 , pp. 3268-3273
    • Rosenzweig, C.1
  • 31
    • 84861468366 scopus 로고    scopus 로고
    • Simulation of spring barley yield in different climatic zones of Northern and Central Europe. A comparison of nine crop models
    • Rötter R P et al 2012 Simulation of spring barley yield in different climatic zones of Northern and Central Europe. A comparison of nine crop models Fields Crop Res. 133 23-36
    • (2012) Fields Crop Res. , vol.133 , pp. 23-36
    • Rötter, R.P.1
  • 34
    • 44649092621 scopus 로고    scopus 로고
    • Evaluation of CERES-Wheat and CropSyst models for water-nitrogen interactions in wheat crop
    • Singh A K, Tripathy R and Chopra U K 2008 Evaluation of CERES-Wheat and CropSyst models for water-nitrogen interactions in wheat crop Agric. Water Manage. 95 776-86
    • (2008) Agric. Water Manage. , vol.95 , pp. 776-786
    • Singh, A.K.1    Tripathy, R.2    Chopra, U.K.3
  • 35
    • 34250079436 scopus 로고
    • Calculating soil nutrient balances in Africa at different scales: II. District scale
    • Smaling E M A, Stoorvogel J J and Windmeijer P N 1993 Calculating soil nutrient balances in Africa at different scales: II. District scale Fertil. Res. 35 237-50
    • (1993) Fertil. Res. , vol.35 , pp. 237-250
    • Smaling, E.M.A.1    Stoorvogel, J.J.2    Windmeijer, P.N.3
  • 38
    • 0034962651 scopus 로고    scopus 로고
    • Summarizing multiple aspects of model performance in a single diagram
    • Taylor K E 2001 Summarizing multiple aspects of model performance in a single diagram J. Geophys. Res. Atmos. 106 7183-92
    • (2001) J. Geophys. Res. Atmos. , vol.106 , pp. 7183-7192
    • Taylor, K.E.1
  • 39
    • 0036919622 scopus 로고    scopus 로고
    • Simulating the effects of elevated CO2 on crops: Approaches and applications for climate change
    • Tubiello F N and Ewert F 2002 Simulating the effects of elevated CO2 on crops: approaches and applications for climate change Eur. J. Agron. 18 57-74
    • (2002) Eur. J. Agron. , vol.18 , pp. 57-74
    • Tubiello, F.N.1    Ewert, F.2
  • 41
    • 84896483871 scopus 로고    scopus 로고
    • A crop model and fuzzy rule based approach for optimizing maize planting dates in Burkina Faso, West Africa
    • Waongo M, Laux P, Traoré S B, Sanon M and Kunstmann H 2014 A crop model and fuzzy rule based approach for optimizing maize planting dates in Burkina Faso, West Africa J. Appl. Meteorol. Climatol. 53 598-613
    • (2014) J. Appl. Meteorol. Climatol. , vol.53 , pp. 598-613
    • Waongo, M.1    Laux, P.2    Traoré, S.B.3    Sanon, M.4    Kunstmann, H.5
  • 42
    • 80052354448 scopus 로고    scopus 로고
    • Creation of the WATCH forcing data and its use to assess global and regional reference crop evaporation over land during the twentieth century
    • Weedon G P, Gomes S, Viterbo P, Österle H, Adam J C, Bellouin N, Boucher O and Best M 2011 Creation of the WATCH forcing data and its use to assess global and regional reference crop evaporation over land during the twentieth century J. Hydrometeorol. 12 823-48
    • (2011) J. Hydrometeorol. , vol.12 , pp. 823-848
    • Weedon, G.P.1    Gomes, S.2    Viterbo, P.3    Österle, H.4    Adam, J.C.5    Bellouin, N.6    Boucher, O.7    Best, M.8
  • 43
    • 33244457825 scopus 로고    scopus 로고
    • Spatial resolution of precipitation and radiation: The effect on regional crop yield forecasts
    • De Wit A J W, Boogaard H L and van Diepen C A 2005 Spatial resolution of precipitation and radiation: the effect on regional crop yield forecasts Agric. For. Meteorol. 135 156-68
    • (2005) Agric. For. Meteorol. , vol.135 , pp. 156-168
    • De Wit, A.J.W.1    Boogaard, H.L.2    Van Diepen, C.A.3
  • 44
    • 84861436764 scopus 로고    scopus 로고
    • Proposing an interdisciplinary and cross-scale framework for global change and food security researches
    • Yu Q, Wu W, Yang P, Li Z, Xiong W and Tang H 2012 Proposing an interdisciplinary and cross-scale framework for global change and food security researches Agric. Ecosyst. Environ. 156 57-71
    • (2012) Agric. Ecosyst. Environ. , vol.156 , pp. 57-71
    • Yu, Q.1    Wu, W.2    Yang, P.3    Li, Z.4    Xiong, W.5    Tang, H.6


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