Chapter Sixteen Regional Models of Intermediate Complexity (REMICs) - A New Direction in Integrated Landscape Modelling

Developments in Integrated Environmental Assessment

Volumn 3, Issue , 2008, Pages 285-295

  Wenkel, K O ^a   Wieland, R ^a   Mirschel, W ^a   Schultz, A ^b   Kampichler, C ^c   Kirilenko, A ^d   Voinov, A ^e  

^a LEIBNIZ CENTRE FOR AGRICULTURAL LANDSCAPE RESEARCH ZALF   (Germany)

^b University of Applied Sciences Eberswalde   (Germany)

^c UNIVERSIDAD JUÁREZ AUTÓNOMA DE TABASCO   (Mexico)

^d UNIVERSITY OF NORTH DAKOTA   (United States)

^e Chesapeake Research Consortium   (United States)

Author keywords

dynamic processes; ecosystem models; fuzziness; genetic algorithms; landscape indicators; limited resources; neural networks; software toolboxes; sustainable landuse

Indexed keywords

EID: 51249118508     PISSN: 1574101X     EISSN: None     Source Type: Book Series    
DOI: 10.1016/S1574-101X(08)00616-9     Document Type: Review

References (21)

1. Ajibefun I.A., Wenkel K.-O., Wieland R., and Mirschel W. Modelling of landscape and land use changes: With application of Spatial Analysis Modelling Tool to Quillow Region of North East Germany. Journal of Food, Agriculture and Environment 2 2 (2004) 364-368
2. Brisson N., Gary C., Justes A., Roche R., Mary B., Ripoche D., Zimmer D., Sierra J., Bertuzzi P., Burger P., Bussiére F., Cabidoche Y.M., Cellier P., Debaeke P., Gaudillér J.P., Hénault C., Maraux F., Seguin B., and Sinoquet H. An overview of the crop model STICS. European Journal of Agronomy 18 (2003) 309-332
3. Burnham K.P., and Anderson D.R. Multimodel inference: Understanding AIC and BIC in model selection. URL:. http://www2.fmg.uva.nl/modelselection/presentations/AWMS2004-Burnham-paper.pdf
4. CAMASE. The CAMASE register of quantitative methods and models for research on Agricultural Systems and the Environment. URL:. http://www.bib.wau.nl/camase/
5. Claussen M., Mysak L.A., Weaver A.J., Crucifix M., Fichefet T., Loutre M.-F., Weber S.L., Alcamo J., Alexeev V.A., Berger A., Calov R., Ganopolski A., Goosse H., Lohmann G., Lunkeit F., Mokhov I.I., Petoukhov V., Stone P., and Wang Z. Earth system models of intermediate complexity: Closing the gap in the spectrum of climate system models. Climate Dynamics 18 (2002) 579-586
6. Dale V.H. Opportunities for using ecological models for resource management. In: Dale V.H. (Ed). Ecological Modeling for Resource Management (2003), Springer-Verlag, New York 3-19
7. Dale V.H., and van Winkle W. Models provide understanding, not belief. Bulletin of the Ecological Society of America 79 (1998) 169-170
8. Hansen, S., Jensen, H.E., Nielsen, N.E., Svendsen, H., 1990. DAISY: Soil plant atmosphere system model. The national agency for environmental protection, Copenhagen, NPO Report No. A10, 272 pp
9. Keating B.A., Carberry P.S., Hammer G.L., Probert M.E., Robertson M.J., Holzworth D., Huth N.I., Hargreaves J.N.G., Meinke H., Hochmann Z., McLean G., Vergurg K., Snow V., Dimes J.P., Silburn M., Wang E., Brown S., Bristow K.L., Asseng S., Chapman S., McCown R.L., Freebairn D.M., and Smith C.J. An overview of APSIM, a model designed for farming systems simulations. European Journal of Agronomy 18 (2003) 267-288
10. Kersebaum K.C. Application of a simple management model to simulate water and nitrogen dynamics. Ecological Modelling 81 (1995) 145-156
11. Lausch A. Integration of spatio-temporal landscape analysis in model approaches. In: Helming K., and Wiggering H. (Eds). Sustainable Development of Multifunctional Landscapes (2003), Springer-Verlag, Berlin, Heidelberg 111-123
12. LTERNET. http://www.lternet.edu
13. Mirschel W., Schultz A., and Wenkel K.-O. Assessing the impact of land use intensity and climate change on ontogenesis, biomass production, and yield of northeast German agro-landscapes. In: Tenhunen J.D., Lenz R., and Hantschel R. (Eds). Ecosystem Approaches to Landscape Management in Central Europe. Ecological Studies vol. 147 (2001), Springer-Verlag, Berlin, Heidelberg, New York 299-313
14. Mirschel W., Wieland R., Voss M., Ajibefun I.A., and Deumlich D. Spatial Analysis and Modeling Tool (SAMT), 2. Applications. Ecological Informatics 1 (2006) 77-85
15. Poluektov R.A., Fintushal S.M., Oparina I.V., Shatskikh D.V., Terleev V.V., and Zakharova E.T. AGROTOOL-A system for crop simulation. Archives of Agronomy and Soil Science 48 (2002) 609-635
16. Ritchie J.T., and Godwin D.C. Simulation of nitrogen dynamics in the soil plant system with the CERES models. Agrarinformatik 24 (1993) 215-230
17. Shannon C.E. A mathematical theory of communication. Bell System Tech. J. 27 (1948) 379-423 623-656
18. In: Supit I., Hooijer A.A., and van Diepen C.A. (Eds). EUR 15956-System Description of the WOFOST 6.0 Crop Simulation Model Implemented in CGMS European Commission (1994), Office for Official Publications of the European Communities, Luxembourg Agricultural Series, Catalogue Number: CL-NA-15956-EN-C, Theory and Algorithms, 1, 146 pp
19. Wegehenkel M., Mirschel W., and Wenkel K.-O. Predictions of soil water and crop growth dynamics using the agro-ecosystem models THESEUS and OPUS. Journal of Plant Nutrition and Soil Science 167 6 (2004) 736-744
20. Wenkel, K.-O., Mirschel, W., 1995, Agroökosystemmodellierung-Grundlage für die Abschätzung von Auswirkungen möglicher Landnutzungs und Klimaänderungen. ZALF-Bericht 24, Müncheberg, 187 pp
21. Wieland R., Voss M., Holtmann X., Mirschel W., and Ajibefun I. Spatial Analysis and Modeling Tool (SAMT), 1. Structure and possibilities. Ecological Informatics 1 (2006) 67-76