Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Land and Water Resources of Central Asia, Their Utilisation and Ecological Status Read chapter Read first chapter

2014 | OriginalPaper | Chapter

MONICA: A Simulation Model for Nitrogen and Carbon Dynamics in Agro-Ecosystems

Author : Claas Nendel

Published in: Novel Measurement and Assessment Tools for Monitoring and Management of Land and Water Resources in Agricultural Landscapes of Central Asia

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Process-based simulation models that predict crop growth, evapotranspiration, nitrate leaching or other environmental variables are commonly applied for impact assessment on agricultural crop production or the environment. Algorithms of the dynamic, process-based simulation model MONICA are presented, which was developed for demonstrating the climate and management impact on crop yields and environmental variables on the plot scale and in smaller regions in Central Europe. A legal successor of the HERMES model, it maintains the simple and robust philosophy of its progenitor and adds a full carbon cycle model to it, including the feedback relations between atmospheric CO2 concentration and other environmental variables on crop growth and water use efficiency. MONICA is the central part of a web-based decision support system that helps farmers and other stakeholders in Germany identifying management options to mitigate the impact of the expected climate change on their business. MONICA has the potential to assess the impacts of climate change and land management on crop yields, carbon balance and nitrogen efficiency in Central Asia.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now
previous chapter Using Soil–Water–Plant Models to Improve the Efficiency of Irrigation
next chapter Integrated Decision Support for Sustainable and Profitable Land Management in the Lowlands of Central Asia
Literature
Abrahamsen P, Hansen S (2000) Daisy: an open soil-crop-atmosphere system model. Environ Mod Softw 15:313–330CrossRef
Ad-hoc-AG B (2005) Bodenkundliche Kartieranleitung. E. Schweizerbartsche Verlagsbuchhandlung, Hannover, p 438
Allen RG, Pereira LS, Raes D, Smith M (1998) Crop evapotranspiration. Guidelines for computing crop water requirements. FAO Irrigation and Drainage Paper 56, Roma
Alvarez R (2009) Predicting average regional yield and production of wheat in the Argentine Pampas by an artificial neural network approach. Eur J Agron 30(2):70–77CrossRef
Asseng S, Ewert F, Rosenzweig C, Jones JW, Hatfield JL, Ruane AC, Boote KJ, Thorburn P, Rötter RP, Cammarano D, Brisson N, Basso B, Martre P, Aggarwal PK, Angulo C, Bertuzzi P, Biernath C, Challinor A, Doltra J, Gayler S, Goldberg RA, Grant R, Heng LK, Hooker J, Hunt T, Ingwersen J, Izaurralde RC, Kersebaum KC, Müller C, Maresh Kumar S, Nendel C, O’Leary G, Olesen JE, Osborne T, Palosuo T, Priesack E, Ripoche D, Semenov MA, Shcherbak I, Steduto P, Stöckle CO, Stratonovitch P, Streck T, Supit I, Tao FL, Travasso M, Waha K, Wallach D, White JW, Williams JR, Wolf J (2013) Uncertainty in simulating wheat yields under climate change. Nature Climate Change [online]. doi:10.​1038/​nclimate1916
Bachinger J, Reining E (2009) An empirical statistical model for predicting the yield of herbage from legume-grass swards within organic crop rotations based on cumulative water balances. Grass Forage Sci 64(2):144–159CrossRef
Bardossy A, Haberlandt U, Krysanova V (2003) Automatic fuzzy-rule assessment and its application to the modelling of nitrogen leaching for large regions. Soft Comput 7(6):370–385CrossRef
Christensen JH, Carter TR, Rummukainen M, Amanatidis G (2007) Evaluating the performance and utility of regional climate models: the PRUDENCE project. Clim Change 81:1–6CrossRef
Cossani CM, Savin R, Slafer GA (2007) Contrasting performance of barley and wheat in a wide range of conditions in Mediterranean Catalonia (Spain). Ann Apl Biol 151:167–173CrossRef
Déqué M, Rowell DP, Luthi D, Giorgi F, Christensen JH, Rockel B, Jacob D, Kjellstrom E, de Castro M, van den Hurk B (2007) An intercomparison of regional climate simulations for Europe: assessing uncertainties in model projections. Clim Change 81:53–70CrossRef
Enke W, Spekat A (1997) Downscaling climate model outputs into local and regional weather elements by classification and regression. Clim Res 8(3):195–207CrossRef
Falloon P, Betts R (2010) Climate impacts on European agriculture and water management in the context of adaptation and mitigation—The importance of an integrated approach. Sci Total Environ 408:5667–5687CrossRef
Farquhar, G.D., von Caemmerer, S. (1982) Modelling of photosynthetic response to environmental conditions. In: Lange, O.L., Nobel, P.S., Osmond, C.B., Ziegler, H. (Eds.), Encyclopedia of plant physiology. New series. Volume 12B. Physiological plant ecology. II. Water relations and carbon assimilation. Springer, Berlin, pp. 549–587
Feller C, Fink M, Laber H, Maync A, Paschold PJ, Scharpf HC, Schlaghecken J, Strohmeyer K, Weier U, Ziegler J (2007) Fertilization of field vegetables—a comprehensive database. Institute of Vegetable and Ornamental Crops, Großbeeren, p 266
Goudriaan J, van Laar HH (1978) Relations between leaf resistance, CO2 concentration and CO2 assimilation in maize, beans, lalang grass and sunflower. Photosynthetica 12(3):241–249
Greenwood DJ, Stone DA, Draycott A (1990) Weather, nitrogen supply and growth rate of field vegetables. Plant Soil 124(2):297–301CrossRef
Hansen S, Jensen HE, Nielsen NE, Svendsen H (1991) Simulation of nitrogen dynamics and biomass production in winter-wheat using the Danish simulation-model DAISY. Fert Res 27(2–3):245–259CrossRef
IPCC (2007) Climate change 2007: the physical science basis. Contribution of working group I to the fourth assessment report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA
Jansson PE (1991) The SOIL model—Users manual. Swedish University of Agricultural Sciences, Uppsala
Jensen LS, Salo T, Palmason F, Breland TA, Henriksen TM, Stenberg B, Pedersen A, Lundström C, Esala M (2005) Influence of biochemical quality on C and N mineralisation from a broad variety of plant materials in soil. Plant Soil 273:307–326CrossRef
Kersebaum KC (1989) Die Simulation der Stickstoff-Dynamik von Ackerböden. PhD Thesis, University of Hanover, pp 141
Kersebaum KC (1995) Application of a simple management model to simulate water and nitrogen dynamics. Ecol Mod 85:145–156CrossRef
Kersebaum KC (2007) Modelling nitrogen dynamics in soil-crop systems with HERMES. Nutr Cycl Agroecosys 77(1):39–52CrossRef
Kersebaum KC, Hecker J-M, Mirschel W, Wegehenkel M (2007) Modelling water and nutrient dynamics in soil-crop systems: a comparison of simulation models applied on common data sets. In: Kersebaum KC, Hecker J-M, Mirschel W, Wegehenkel M (eds) Modelling water and nutrient dynamics in soil crop systems. Springer, Stuttgart, pp 1–17CrossRef
Kersebaum KC, Wurbs A, De Jong R, Campbell CA, Yang J, Zentner RP (2008) Long term simulation of soil-crop interactions in semiarid southwestern Saskatchewan, Canada. Eur J Agron 29:1–12CrossRef
Lasch P, Badeck FW, Lindner M, Suckow F (2002) Sensitivity of simulated forest growth to changes in climate and atmospheric CO2. Forstwissenschaftliches Centralblatt 121:155–171
Lobell DB, Burke MB, Tebaldi C, Mastrandrea MD, Falcon WP, Naylor RL (2008) Prioritizing climate change adaptation needs for food security in 2030. Science 319:607–610CrossRef
Long SP (1991) Modification of the response of photosynthetic productivity to rising temperature by atmospheric CO2 concentrations—Has its importance been underestimated. Plant, Cell Environ 14(8):729–739CrossRef
Lucarini V, Calmanti S, Dell’Aquila A, Ruti PM, Speranza A (2007) Intercomparison of the northern hemisphere winter mid-latitude atmospheric variability of the IPCC models. Clim Dynam 28(7–8):829–848CrossRef
Mitchell RAC, Lawlor DW, Mitchell VJ, Gibbard CL, White EM, Porter JR (1995) Effects of elevated CO2 concentration and increased temperature on winter-wheat—Test of ARCWHEAT1 simulation model. Plant, Cell Environ 18(7):736–748CrossRef
Nendel C (2009) Evaluation of Best Management Practises for N fertilisation in regional field vegetable production with a small scale simulation model. Eur J Agron 30:110–118CrossRef
Nendel C, Berg M, Kersebaum KC, Mirschel W, Specka X, Wegehenkel M, Wenkel KO, Wieland R (2011) The MONICA model: testing predictability for crop growth, soil moisture and nitrogen dynamics. Ecol Mod 222:1614–1625CrossRef
Nendel C, Kersebaum KC, Mirschel W, Manderscheid R, Weigel HJ, Wenkel K-O (2009) Testing different CO2 response algorithms against a FACE crop rotation experiment. NJAS—Wageningen J Life Sci 57(1):17–25CrossRef
Neusypina TA (1979) Rascet teplovo rezima pocvi v modeli formirovanija urozaja., Teoreticeskij osnovy i kolicestvennye metody programmirovanija urozaev. Leningrad, pp 53–62
Olsen PA, Haugen LE (1997) Jordas termiske egenskaper. 8, Ås
Paeth H, Capo-Chichi A, Endlicher W (2008) Climate change and food security in tropical West Africa—A dynamic-statistical modelling approach. Erdkunde 62(2):101–115CrossRef
Pedersen A, Zhang KF, Thorup-Kristensen K, Jensen LS (2010) Modelling diverse root density dynamics and deep nitrogen uptake—A simple approach. Plant Soil 326(1–2):493–510CrossRef
Potgieter AB, Hammer GL, Doherty A, de Voil P (2005) A simple regional-scale model for forecasting sorghum yield across North-Eastern Australia. Agric For Meteorol 132(1–2):143–153CrossRef
Rahn CR, Zang K, Lillywhite RD, Ramos C, de Paz JM, Doltra J, Riley H, Fink M, Nendel C, Thorup-Kristensen K, Pedersen A, Piro F, Venezia A, Firth C, Schmutz U, Rayns F, Strohmeyer K (2010) EU-Rotate_N —a European decision support system—to predict environmental and economic consequences of the management of nitrogen fertiliser in crop rotations. Eur J Hort Sci 75(1):20–32
Reidsma P, Ewert F, Lansink AO, Leemans R (2010) Adaptation to climate change and climate variability in European agriculture: the importance of farm level responses. Eur J Agron 32(1):91–102CrossRef
Riley H, Bonesmo H (2005) Modelling of snow and freeze-thaw cycles in the EU-Rotate_N decision support system. Grønn Kunnskap 9(112):0
Rötter RP, Palosuo T, Kersebaum KC, Angulo C, Bindi M, Ewert F, Ferrise R, Hravlinka P, Moriondo M, Nendel C, Olesen JE, Patil R, Ruget F, Tacáè J, Trnka M (2012) Simulation of spring barley yield in different climatic zones of Northern and Central Europe: a comparison of nine crop models. Field Crop Res 133:23–36CrossRef
Sadeghi AM, McInnes KJ, Kissel DE, Cabrera ML, Koelliker JK, Kanemasu ET (1988) Mechanistic model for predicting ammonia volatilization from urea. In: Bock BR, Kissel DE (eds) Ammonia volatilization from urea fertilizers. National Fertilizer Development Centre, Tennessee Valley Authority, Muscle Shoals, Alabama, pp 67–92
Shrestha RR, Bardossy A, Rode M (2007) A hybrid deterministic-fuzzy rule based model for catchment scale nitrate dynamics. J Hydrol 342(1–2):143–156CrossRef
Søgaard HT, Sommer SG, Hutchings NJ, Huijsmans JFM, Bussink DW, Nicholson F (2002) Ammonia volatilization from field-applied animal slurry—the ALFAM model. Atmos Environ 36(20):3309–3319CrossRef
Trnka M, Dubrovský M, Žalud Z (2004) Climate change impacts and adaptation strategies in spring barley production in the Czech Republic. Clim Change 64(1–2):227–255CrossRef
van Keulen H, Penning de Vries FWT, Drees EM (1982) A summary model for crop growth. In: Penning de Vries FWT and van Laar HH (eds) Simulation of plant growth and crop production. PUDOC, Wageningen, pp 87–97
Wegehenkel M (2000) Test of a modelling system for simulating water balances and plant growth using various different complex approaches. Ecol Mod 129(1):39–64CrossRef
Wehrmann J, Scharpf HC (1979) Mineral nitrogen concentration of soil as a gauge of need for nitrogen-fertilizer (N-min method). Plant Soil 52(1):109–126CrossRef
Wessolek G, Asseng S (2006) Trade-off between wheat yield and drainage under current and climate change conditions in northeast Germany. Eur J Agron 24(4):333–342CrossRef
Wessolek G, Kaupenjohann M, Renger M (2009) Bodenphysikalische Kennwerte und Berechnungsverfahren für die. Praxis 40:1–80
Wieland R, Mirschel W (2008) Adaptive fuzzy modeling versus artificial neural networks. Environ Mod Softw 23:215–224CrossRef
Williams JR, Jones CA, Dyke PT (1984) A modeling approach to determining the relationship between erosion and soil productivity. Trans ASAE 27(1):129–144
Willmott CJ, Wicks DE (1980) An empirical method for the spatial interpolation of monthly precipitation within California. Phys Geogr 1:59–73
Yu Q, Goudriaan J, Wang TD (2001) Modelling diurnal courses of photosynthesis and transpiration of leaves on the basis of stomatal and non-stomatal responses, including photoinhibition. Photosynthetica 39(1):43–51CrossRef
Metadata
Title
MONICA: A Simulation Model for Nitrogen and Carbon Dynamics in Agro-Ecosystems
Author
Claas Nendel
Copyright Year
2014
Book
Novel Measurement and Assessment Tools for Monitoring and Management of Land and Water Resources in Agricultural Landscapes of Central Asia

Print ISBN: 978-3-319-01016-8

Electronic ISBN: 978-3-319-01017-5

Copyright Year: 2014

DOI
https://doi.org/10.1007/978-3-319-01017-5_23