메뉴 건너뛰기




Volumn 273, Issue , 2014, Pages 128-139

A calibration procedure to improve global rice yield simulations with EPIC

Author keywords

Crop model; EPIC; Global calibration; Rice

Indexed keywords

CALIBRATION; CLIMATE MODELS; CROPS; ENVIRONMENTAL MANAGEMENT;

EID: 84888774801     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolmodel.2013.10.026     Document Type: Article
Times cited : (65)

References (47)
  • 1
    • 84872934055 scopus 로고    scopus 로고
    • Implication of crop model calibration strategies for assessing regional impacts of climate change in Europe
    • Angulo C., Rötter R., Lock R., Enders A., Fronzek S., Ewert F. Implication of crop model calibration strategies for assessing regional impacts of climate change in Europe. Agric. Forest Meteorol. 2013, 170:32-40.
    • (2013) Agric. Forest Meteorol. , vol.170 , pp. 32-40
    • Angulo, C.1    Rötter, R.2    Lock, R.3    Enders, A.4    Fronzek, S.5    Ewert, F.6
  • 3
    • 20944440113 scopus 로고    scopus 로고
    • GLC2000: a new approach to global land cover mapping from earth observation data
    • Bartholomé E., Belward A.S. GLC2000: a new approach to global land cover mapping from earth observation data. Int. J. Remote Sens. 2005, 26:1959-1977.
    • (2005) Int. J. Remote Sens. , vol.26 , pp. 1959-1977
    • Bartholomé, E.1    Belward, A.S.2
  • 5
    • 56349163279 scopus 로고    scopus 로고
    • Carbon sequestration in soils of SW-Germany as affected by agricultural management - calibration of the EPIC model for regional simulations
    • Billen N., Röder C., Gaiser T., Stahr K. Carbon sequestration in soils of SW-Germany as affected by agricultural management - calibration of the EPIC model for regional simulations. Ecol. Model. 2009, 220:71-80.
    • (2009) Ecol. Model. , vol.220 , pp. 71-80
    • Billen, N.1    Röder, C.2    Gaiser, T.3    Stahr, K.4
  • 7
    • 67650928663 scopus 로고    scopus 로고
    • Crops and climate change: progress, trends, and challenges in simulating impacts and informing adaptation
    • Challinor A.J., Ewert F., Arnold S., Simelton E., Fraser E. Crops and climate change: progress, trends, and challenges in simulating impacts and informing adaptation. J. Exp. Bot. 2009, 60:2775-2789.
    • (2009) J. Exp. Bot. , vol.60 , pp. 2775-2789
    • Challinor, A.J.1    Ewert, F.2    Arnold, S.3    Simelton, E.4    Fraser, E.5
  • 13
    • 84862815648 scopus 로고    scopus 로고
    • Regionalization of a large-scale crop growth model for sub-Saharan Africa: model setup, evaluation, and estimation of maize yields
    • Folberth C., Gaiser T., Abbaspour K.C., Schulin R., Yang H. Regionalization of a large-scale crop growth model for sub-Saharan Africa: model setup, evaluation, and estimation of maize yields. Agric. Ecosyst. Environ. 2012, 151:21-33.
    • (2012) Agric. Ecosyst. Environ. , vol.151 , pp. 21-33
    • Folberth, C.1    Gaiser, T.2    Abbaspour, K.C.3    Schulin, R.4    Yang, H.5
  • 14
    • 71449112395 scopus 로고    scopus 로고
    • Validation and reliability of EPIC model to simulate maize production in small-holder farming systems in tropical sub-humid West Africa and semi-arid Brazil
    • Gaiser T., de Barros I., Sereke F., Lange F.M. Validation and reliability of EPIC model to simulate maize production in small-holder farming systems in tropical sub-humid West Africa and semi-arid Brazil. Agric. Ecosyst. Environ. 2010, 135:318-327.
    • (2010) Agric. Ecosyst. Environ. , vol.135 , pp. 318-327
    • Gaiser, T.1    de Barros, I.2    Sereke, F.3    Lange, F.M.4
  • 15
    • 84888806076 scopus 로고    scopus 로고
    • FAO Statistics Division, Rome, Italy
    • Global Administrative Unit Layer (GAUL) 2013, FAO Statistics Division, Rome, Italy, http://www.fao.org/geonetwork/srv/en/metadata.show?id=12691.
    • (2013) Global Administrative Unit Layer (GAUL)
  • 18
    • 84888775111 scopus 로고    scopus 로고
    • Research on the effect of planting density on rice yield and quality
    • Li J., Yuan J., Cai G. Research on the effect of planting density on rice yield and quality. Asian Agric. Res. 2013, 5(4):121-123.
    • (2013) Asian Agric. Res. , vol.5 , Issue.4 , pp. 121-123
    • Li, J.1    Yuan, J.2    Cai, G.3
  • 19
    • 56549103061 scopus 로고    scopus 로고
    • A GIS-based tool for modelling large-scale crop-water relations
    • Liu J. A GIS-based tool for modelling large-scale crop-water relations. Environ. Modell. Softw. 2009, 24:411-422.
    • (2009) Environ. Modell. Softw. , vol.24 , pp. 411-422
    • Liu, J.1
  • 20
    • 77950315924 scopus 로고    scopus 로고
    • Spatially explicit assessment of global consumptive water uses in cropland: green and blue water
    • Liu J., Yang H. Spatially explicit assessment of global consumptive water uses in cropland: green and blue water. J. Hydrol. 2010, 384:187-197.
    • (2010) J. Hydrol. , vol.384 , pp. 187-197
    • Liu, J.1    Yang, H.2
  • 21
    • 33947630883 scopus 로고    scopus 로고
    • GEPIC - modeling wheat yield and crop water productivity with high resolution on a global scale
    • Liu J., Williams J.R., Zehnder A.J.B., Yang H. GEPIC - modeling wheat yield and crop water productivity with high resolution on a global scale. Agric. Syst. 2007, 94:478-493.
    • (2007) Agric. Syst. , vol.94 , pp. 478-493
    • Liu, J.1    Williams, J.R.2    Zehnder, A.J.B.3    Yang, H.4
  • 22
    • 57049114864 scopus 로고    scopus 로고
    • A spatially explicit assessment of current and future hotspots of hunger in Sub-Saharan Africa in the context of global change
    • Liu J., Fritz S., van Wesenbeeck C.F.A., Fuchs M., You L., Obersteiner M., Yang H. A spatially explicit assessment of current and future hotspots of hunger in Sub-Saharan Africa in the context of global change. Global Planet. Change 2008, 64:222-235.
    • (2008) Global Planet. Change , vol.64 , pp. 222-235
    • Liu, J.1    Fritz, S.2    van Wesenbeeck, C.F.A.3    Fuchs, M.4    You, L.5    Obersteiner, M.6    Yang, H.7
  • 23
    • 34047173047 scopus 로고    scopus 로고
    • Global scale climate-crop yield relationships and the impacts of recent warming
    • Lobell D.B., Field C.B. Global scale climate-crop yield relationships and the impacts of recent warming. Environ. Res. Lett. 2007, 2:014002.
    • (2007) Environ. Res. Lett. , vol.2 , pp. 014002
    • Lobell, D.B.1    Field, C.B.2
  • 24
    • 79960949654 scopus 로고    scopus 로고
    • Climate change and global crop production since 1980
    • Lobell D.B., Schlenker W., Costa-Roberts J. Climate change and global crop production since 1980. Science 2011, 333:616-620.
    • (2011) Science , vol.333 , pp. 616-620
    • Lobell, D.B.1    Schlenker, W.2    Costa-Roberts, J.3
  • 25
    • 45449110437 scopus 로고    scopus 로고
    • Farming the planet. Part 2. Geographic distribution of crop areas, yields, and physiological types, and net primary production in the year 2000
    • Monfreda C., Ramankutty N., Foley J.A. Farming the planet. Part 2. Geographic distribution of crop areas, yields, and physiological types, and net primary production in the year 2000. Global Biogeochem. Cycles 2008, 22:GB1022. 10.1029/2007GB002947.
    • (2008) Global Biogeochem. Cycles , vol.22
    • Monfreda, C.1    Ramankutty, N.2    Foley, J.A.3
  • 27
    • 56449107605 scopus 로고    scopus 로고
    • Reliability and input-data induced uncertainty of the EPIC model to estimate climate change impact on sorghum yields in the U.S. Great Plains
    • Niu X., Easterling W., Hays C.J., Jacobs A., Mearns L. Reliability and input-data induced uncertainty of the EPIC model to estimate climate change impact on sorghum yields in the U.S. Great Plains. Agric. Ecosyst. Environ. 2009, 129:268-276.
    • (2009) Agric. Ecosyst. Environ. , vol.129 , pp. 268-276
    • Niu, X.1    Easterling, W.2    Hays, C.J.3    Jacobs, A.4    Mearns, L.5
  • 28
    • 63549083785 scopus 로고    scopus 로고
    • Regional crop modelling in Europe: the impact of climatic conditions and farm characteristics on maize yields
    • Reidsma P., Ewert F., Boogaard H., Diepen K. Regional crop modelling in Europe: the impact of climatic conditions and farm characteristics on maize yields. Agric. Syst. 2009, 100(1-3):51-60.
    • (2009) Agric. Syst. , vol.100 , Issue.1-3 , pp. 51-60
    • Reidsma, P.1    Ewert, F.2    Boogaard, H.3    Diepen, K.4
  • 30
    • 0029660470 scopus 로고    scopus 로고
    • Modelling water retention curves of sandy soils using neural networks
    • Schaap M.G., Bouten W. Modelling water retention curves of sandy soils using neural networks. Water Resour. Res. 1996, 32:s.3033-s.3040.
    • (1996) Water Resour. Res. , vol.32
    • Schaap, M.G.1    Bouten, W.2
  • 31
    • 78651261766 scopus 로고    scopus 로고
    • Integration of bio-physical and economic models to analyze management intensity and landscape structure effects at farm and landscape level
    • Schönhart M., Schauppenlehner T., Schmid E., Muhar A. Integration of bio-physical and economic models to analyze management intensity and landscape structure effects at farm and landscape level. Agric. Syst. 2011, 104:122-134.
    • (2011) Agric. Syst. , vol.104 , pp. 122-134
    • Schönhart, M.1    Schauppenlehner, T.2    Schmid, E.3    Muhar, A.4
  • 32
    • 33746906726 scopus 로고    scopus 로고
    • Development of a 50-year high-resolution global dataset of meteorological forcings for land surface modeling
    • Sheffield J., Goteti G., Wood E.F. Development of a 50-year high-resolution global dataset of meteorological forcings for land surface modeling. J. Climate 2006, 19:3088-3111.
    • (2006) J. Climate , vol.19 , pp. 3088-3111
    • Sheffield, J.1    Goteti, G.2    Wood, E.F.3
  • 34
    • 58149482558 scopus 로고    scopus 로고
    • Pan-European regional-scale modeling of water and N efficiencies of rapeseed cultivation for biodiesel production
    • van der Velde M., Aloe A., Bouraoui F. Pan-European regional-scale modeling of water and N efficiencies of rapeseed cultivation for biodiesel production. Global Change Biol. 2009, 15:24-37.
    • (2009) Global Change Biol. , vol.15 , pp. 24-37
    • van der Velde, M.1    Aloe, A.2    Bouraoui, F.3
  • 38
    • 23744478777 scopus 로고    scopus 로고
    • Sensitivity and uncertainty analyses of crop yields and soil organic carbon simulated with EPIC
    • Wang W., He X., Williams J.R., Izaurralde R.C., Atwood J.D. Sensitivity and uncertainty analyses of crop yields and soil organic carbon simulated with EPIC. Trans. ASAE 2005, 48(3):1041-1045.
    • (2005) Trans. ASAE , vol.48 , Issue.3 , pp. 1041-1045
    • Wang, W.1    He, X.2    Williams, J.R.3    Izaurralde, R.C.4    Atwood, J.D.5
  • 40
    • 0002902437 scopus 로고
    • The EPIC model
    • Water Resources Publications, Highlands Ranch, CO, V.P. Singh (Ed.)
    • Williams J.R. The EPIC model. Computer Models of Watershed Hydrology 1995, 909-1000. Water Resources Publications, Highlands Ranch, CO. V.P. Singh (Ed.).
    • (1995) Computer Models of Watershed Hydrology , pp. 909-1000
    • Williams, J.R.1
  • 42
  • 43
    • 69249212573 scopus 로고    scopus 로고
    • Global sensitivity analysis of growth parameters of winter wheat based on EPIC model
    • Wu J., Yu F., Chen Z., Chen J. Global sensitivity analysis of growth parameters of winter wheat based on EPIC model. T. Chin. Soc. Agric. Eng. 2009, 25:136-142.
    • (2009) T. Chin. Soc. Agric. Eng. , vol.25 , pp. 136-142
    • Wu, J.1    Yu, F.2    Chen, Z.3    Chen, J.4
  • 44
    • 41149096384 scopus 로고    scopus 로고
    • A crop model cross calibration for use in regional climate impacts studies
    • Xiong W., Holman I., Conway D., Lin E.D., Li Y. A crop model cross calibration for use in regional climate impacts studies. Ecol. Model. 2008, 213:365-380.
    • (2008) Ecol. Model. , vol.213 , pp. 365-380
    • Xiong, W.1    Holman, I.2    Conway, D.3    Lin, E.D.4    Li, Y.5
  • 45
    • 77954807938 scopus 로고    scopus 로고
    • Crop management techniques to enhance harvest index in rice
    • Yang J., Zhang J. Crop management techniques to enhance harvest index in rice. J. Exp. Bot. 2010, 61:3177-3189.
    • (2010) J. Exp. Bot. , vol.61 , pp. 3177-3189
    • Yang, J.1    Zhang, J.2
  • 46
    • 33745328923 scopus 로고    scopus 로고
    • An entropy approach to spatial disaggregation of agricultural production
    • You L., Wood S. An entropy approach to spatial disaggregation of agricultural production. Agric. Syst. 2006, 90:329-347.
    • (2006) Agric. Syst. , vol.90 , pp. 329-347
    • You, L.1    Wood, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.