Level normalized modeling approach of yield volatility for winter wheat and silage maize on different scales within Germany;Niveauneutrale modellierung der ertragsvolatilität von winterweizen und silomais auf mehreren räumlichen ebenen in Deutschland

Journal fur Kulturpflanzen

Volumn 67, Issue 6, 2015, Pages 205-223

  Gornott, Christoph ^a   Wechsung, Frank ^a  

^a POTSDAM INSTITUTE FOR CLIMATE IMPACT RESEARCH   (Germany)

Author keywords

Climate impacts; Silage maize; Statistical crop yield models; Volatility; Winter wheat

Indexed keywords

AGRICULTURAL MODELING; CLIMATE CHANGE; CLIMATE EFFECT; CROP PRODUCTION; CROP YIELD; ECONOMIC IMPACT; MAIZE; PANEL DATA; RISK ASSESSMENT; RIVER BASIN; SILAGE; TIME SERIES ANALYSIS; WHEAT;

GERMANY;

TRITICUM AESTIVUM; ZEA MAYS;

EID: 84937212391     PISSN: 18670911     EISSN: 18670938     Source Type: Journal    
DOI: 10.5073/JFK.2015.06.01     Document Type: Article

References (63)

1. ASSENG, S., F. EWERT, C. ROSENZWEIG, J.W. JONES, J.L. HATFIELD, A.C. RUANE, K.J. BOOTE, P.J. THORBURN, R.P. ROTTER, D. CAMMARANO, N. BRISSON, B. BASSO, P. MARTRE, P.K. AGGARWAL, C. ANGULO, P. BERTUZZI, C. BIERNATH, A.J. CHALLINOR, J. DOLTRA, S. GAYLER, R. GOLDBERG, R. GRANT, L. HENG, J. HOOKER, L.A. HUNT, J. INGWERSEN, R.C. IZAURRALDE, K.C. KERSEBAUM, C. MULLER, S. NARESH KUMAR, C. NENDEL, G. O’LEARY, J.E. OLESEN, T.M. OSBORNE, T. PALOSUO, E. PRIESACK, D. RIPOCHE, M.A. SEMENOV, I. SHCHERBAK, P. STEDUTO, C. STOCKLE, P. STRATONOVITCH, T. STRECK, I. SUPIT, F. TAO, M. TRAVASSO, K. WAHA, D. WALLACH, J.W. WHITE, J.R. WILLIAMS, J. WOLF, 2013: Uncertainty in simulating wheat yields under climate change. Nature Climate Change 3, 827-832
2. BAKKER, M.M., G. GOVERS, F. EWERT, M. ROUNSEVELL, R. JONES, 2005: Variability in regional wheat yields as a function of climate, soil and economic variables: Assessing the risk of confounding. Agriculture, Ecosystems & Environment 110 (3-4), 195-209
3. BECK, N., J.N. KATZ, 2007: Random Coefficient Models for Time- Series-Cross-Section Data: Monte Carlo Experiments. Political Analysis 15, 182-195
4. BORMANN, H.B.D., O. RICHTER, 1996: Effects of Data Availability on Estimation of Evapotranspiration. Physics and Chemistry of the Earth 21 (3), 171-175
5. BRISSON, N., P. GATE, D. GOUACHE, G. CHARMET, F.-X. OURY, F. HUARD, 2010: Why are wheat yields stagnating in Europe? A comprehensive data analysis for France. Field Crops Research 119, 201-212
6. BRISTOW, K.L., G.S. CAMPBELL, 1984: On the relationship between incoming solar radiation and daily maximum and minimum temperature. Agricultural and Forest Meteorology 31, 159-166
7. BUTLER, E.E., P. HUYBERS, 2013: Adaptation of US maize to temperature variations. Nature Climate Change 3, 68-72
8. CASTELLVI, F., P.J. PEREZ, J.M. VILLAR, J.I. ROSELL, 1996: Analysis of methods for estimating vapor pressure deficits and relative humidity. Agricultural and Forest Meteorology 82, 29-45
9. CHALLINOR, A.J., J. WATSON, D.B. LOBELL, S.M. HOWDEN, D.R. SMITH, N. CHHETRI, 2014: A meta-analysis of crop yield under climate change and adaptation. Nature Climate Change 4, 287-291
10. CHMIELEWSKI, F.-M., A. MÜLLER, E. BRUNS, 2004: Climate changes and trends in phenology of fruit trees and field crops in Germany, 1961–2000. Agricultural and Forest Meteorology 121, 69-78
11. CHMIELEWSKI, F., W. KÖHN, 2000: Impact of weather on yield components of winter rye over 30 years. Agricultural and Forest Meteorology 102, 253-261
12. CROISSANT, Y., G. MILLO, 2008: Panel Data Econometrics in R: The plm Package. Journal of Statistical Software 27 (2), 1-43
13. DIELMAN, T.E., 1983: Pooled Cross-Sectional and Time Series Data: A Survey of Current Statistical Methodology. The American Statistician 37 (2), 111-122
14. DIXON, B.L., S.E. HOLLINGER, P. GARCIA, V. TIRUPATTUR, 1994: Estimating Corn Yield Response Models to Predict Impacts of Climate Change. Journal of Agricultural and Resource Economics 19 (1), 58-68
15. DOLL, J.P., 1967: An Analytical Technique for Estimating Weather Indexes from Meteorological Measurements. Journal of Farm Economics 49 (1), 79-88
16. DONATELLI, M., G. BELLOCCHI, L. CARLINI, 2006: Sharing knowledge via software components: Models on reference evapotranspiration. European Journal of Agronomy 24 (2), 186-192
17. DVWK, 1996: Ermittlung der Verdunstung von Land- und Wasserflächen. DVWK-Merkblätter zur Wasserwirtschaft. Wirtschaftsund Verlagsgesellschaft Gas und Wasser mbH, Bonn, 240 S.
18. DWD, 2014: Aktueller Stand der Phänologie in Deutschland, 1992– 2013. Deutscher Wetterdienst, Retrieved from: http://www.dwd.de/phaenologie (12.04.2015).
19. GARCIA, P., S. E. OFFUTT, M. PINAR, S.A. CHANGING, 1987: Corn Yield Behavior – Effects of Technological Advance and Weather-Conditions. Journal of Climate and Applied Meteorology 26, 1092-1102
20. IIZUMI, T., H. SAKUMA, M. YOKOZAWA, J.-J. LUO, A.J. CHALLINOR, M.E. BROWN, G. SAKURAI, T. YAMAGATA, 2013: Prediction of seasonal climate-induced variations in global food production. Nature Climate Change 3, 904-908
21. KAUFMANN, R.K., S.E. SNELL, 1997: A Biophysical Model of Corn Yield: Integrating Climatic and Social Determinants. American Journal of Agricultural Economics 79 (1), 178-190
22. KERSEBAUM, K.C., C. NENDEL, 2014: Site-specific impacts of climate change on wheat production across regions of Germany using different CO2 response functions. European Journal of Agronomy 52, 22-32
23. KRAUSE, J., 2008: A Bayesian approach to German agricultural yield expectations. Agricultural Finance Review 68, 9-23
24. KRAUSE, P., D.P. BOYLE, F. BÄSE, 2005: Comparison of different efficiency criteria for hydrological model assessment. Advances in Geosciences 5, 89-97
25. LEE, B.-H., P. KENKEL, B.W. BRORSEN, 2013: Pre-harvest forecasting of county wheat yield and wheat quality using weather information. Agricultural and Forest Meteorology 168, 26-35
26. LOBELL, D.B., 2010: Crop Responses to Climate: Time-Series Models. In: D.B. LOBELL, M. BURKE (Eds.): Climate Change and Food Security. Advances in Global Change Research, Vol. 37, Springer Netherlands, p. 85-98
27. LOBELL, D.B., 2013: Errors in climate datasets and their effects on statistical crop models. Agricultural and Forest Meteorology 170, 58-66
28. LOBELL, D.B., G.P. ASNER, 2003: Climate and Management Contributions to Recent Trends in U.S. Agricultural Yields. Science 299 (5609), 1032
29. LOBELL, D.B., M.B. BURKE, 2010: On the use of statistical models to predict crop yield responses to climate change. Agricultural and Forest Meteorology 150 (11), 1443-1452
30. LOBELL, D.B., G.L. HAMMER, G. MCLEAN, C. MESSINA, M.J. ROBERTS, W. SCHLENKER, 2013: The critical role of extreme heat for maize production in the United States. Nature Climate Change 3 (5), 497-501
31. LOBELL, D.B., W. SCHLENKER, J. Costa-Roberts, 2011: Climate trends and global crop production since 1980. Science 333 (6042), 616-620
32. MONTEITH, J.L., 1977: Climate and the efficiency of crop production in Britain. Philosophical Transactions of the Royal Society of London 281, 277-294
33. MOORE, F.C., D.B. LOBELL, 2014: Adaptation potential of European agriculture in response to climate change. Nature Climate Change, 4, 610-614
34. NENDEL, C., R. WIELAND, W. MIRSCHEL, X. SPECKA, C. GUDDAT, K.C. KERSEBAUM, 2013: Simulating regional winter wheat yields using input data of different spatial resolution. Field Crops Research 145, 67-77
35. OURY, B., 1965: Allowing for Weather in Crop Production Model Building. Journal of Farm Economics 47 (2), 270-283
36. PALOSUO, T., K.C. KERSEBAUM, C. ANGULO, P. HLAVINKA, M. MORIONDO, J.E. OLESEN, R.H. PATIL, F. RUGET, C. RUMBAUR, J. TAKÁČ, M. TRNKA, M. BINDI, B. ÇALDAĞ, F. EWERT, R. FERRISE, W. MIRSCHEL, L. Şaylan, B. Šiška, R. Rötter, 2011: Simulation of winter wheat yield and its variability in different climates of Europe: A comparison of eight crop growth models. European Journal of Agronomy 35 (3), 103-114
37. REIDSMA, P., F. EWERT, A.O. LANSINK, 2007: Analysis of farm performance in Europe under different climatic and management conditions to improve understanding of adaptive capacity. Climatic Change 84 (3-4), 403-422
38. ROBERTS, M.J., W. SCHLENKER, J. EYER, 2012: Agronomic weather measures in econometric models of crop yield with implications for climate change. American Journal of Agricultural Economics 95 (2), 236-243
39. SCHLENKER, W., M.J. ROBERTS, 2009: Nonlinear temperature effects indicate severe damages to U.S. crop yields under climate change. Proceedings of the National Academy of Sciences of the United States of America 106 (37), 15594-15598
40. SCHRÖDTER, H., 1985: Verdunstung: Anwendungsorientierte Meßverfahren und Bestimmungsmethoden. Berlin, Heidelberg,Springer, 204 S.
41. SHAW, L.H., 1964: The Effect of Weather on Agricultural Output: A Look at Methodology. Journal of Farm Economics 46 (1), 218-230
42. SONNTAG, D., 1990: Important new Values of the Physical Constants of 1986, Vapour Pressure Formulations based on ITS-90, and Psychrometer Formulae. Meteorologische Zeitschrift 4 (5), 340-344
43. STATISTISCHES BUNDESAMT, 2013: Ackerland nach Hauptfruchtgruppen und Fruchtarten, Land- & Forstwirtschaft, Fischerei – Feldfrüchte und Grünland.
44. TANNURA, M.A., S.H. IRWIN, D.L. GOOD, 2008: Weather, Technology, and Corn and Soybean Yields in the U.S. Corn Belt. Marketing and Outlook Research Report, Department of Agricultural and Consumer Economics, University of Illinois at Urbana-Champaign, 1-127
45. WOODARD, J.D., P. GARCIA, 2008: Weather Derivatives, Spatial Aggregation, and Systemic Risk: Implications for Reinsurance Hedging. Journal of Agricultural and Resource Economics 33 (1), 34-51
46. WOOLDRIDGE, J.M., 2013: Introductory Econometrics. A Modern Approach. South Western Cengage Learning, 868 S.
47. YOU, L., M.W. ROSEGRANT, S. WOOD, D. SUN, 2009: Impact of growing season temperature on wheat productivity in China. Agricultural and Forest Meteorology 149 (6-7), 1009-1014
48. BATES, D., 2010: lme4: Mixed-effects modeling with R. Springer.
49. CROISSANT, Y., G. MILLO, 2008: Panel Data Econometrics in R: The plm Package. Journal of Statistical Software 27 (2), 1-43
50. DWD, 2011: Tägliche Wetterdaten, 1951-2010. Deutscher Wetterdienst.
51. GROTHENDIECK, G., 2012: sqldf: Perform SQL selects on R data frames. R-Package, 0.4-6.4
52. NUZZO, R., 2014: Scientific method: Statistical errors – P values, the 'gold standard' of statistical validity, are not as reliable as many scientists assume. Nature Climate Change 506, 150-152
53. RCORE TEAM, 2013: R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, 3.0.0. R Foundation for Statistical Computing, Vienna, Austria.
54. ROBERTS, M.J., W. SCHLENKER, J. EYER, 2012: Agronomic weather measures in econometric models of crop yield with implications for climate change. American Journal of Agricultural Economics 95 (2), 236-243
55. Statistische Ämter Des Bundes Und Der Länder, 2013: Index der Einkaufspreise landwirtschaftlicher Betriebsmittel, Index der Erzeugerpreise landwirtschaftlicher Produkte.
56. Statistische Ämter Des Bundes Und Der Länder, 2013a: Datensatz Anbaufläche (Feldfrüchte und Grünland): Deutschland, Jahre, Fruchtarten 1991-2007
57. Statistische Ämter Des Bundes Und Der Länder, 2013b: Hektarerträge ausgewählter landwirtschaftlicher Feldfrüchte – Jahressumme – regionale Tiefe: Kreise und krfr. Städte.
58. Statistische Ämter Des Bundes Und Der Länder, 2013c: Index der Erzeugerpreise landwirtschaftlicher Produkte.
59. Statistisches Bundesamt, 2013: Ackerland nach Hauptfruchtgruppen und Fruchtarten, Land- & Forstwirtschaft, Fischerei – Feldfrüchte und Grünland.
60. STUDENMUND, A.H., 2000: Using Econometrics: A Practical Guide, 4. Addison Wesley.
61. WOOLDRIDGE, J.M., 2013: Introductory Econometrics. A Modern Approach. South Western Cengage Learning, 868 S.
62. ZEILEIS, A., T. Hothorn, 2002: Diagnostic Checking in Regression Relationships.
63. ZEILLEIS, A., 2004: Econometric Computing with HC and HAC Covariance Matrix Estimators. Journal of Statistical Software 11 (10), 1-17.