A process-based vegetation model for estimating agricultural bioenergy potentials

Sustainable Bioenergy Production - An Integrated Approach

Volumn 9789400766426, Issue , 2013, Pages 97-110

  Tum, Markus ^a   Günther, Kurt P ^a   Kappas, Martin ^b  

^a GERMAN AEROSPACE CENTER DLR   (Germany)

^b UNIVERSITY OF GÖTTINGEN   (Germany)

Author keywords

Agriculture; Bioenergy potentials; Biosphere Energy Transfer Hydrology Model (BETHY DLR); NPP; Remote sensing

Indexed keywords

AGRICULTURE; BIOMASS; BIOSPHERICS; ENERGY TRANSFER; HYDROLOGY; METEOROLOGY; PHOTOSYNTHESIS; VEGETATION; WEATHER FORECASTING;

AGRICULTURAL BIOENERGY; BIOENERGY POTENTIAL; BIOSPHERE ENERGY TRANSFER HYDROLOGY MODEL (BETHY/DLR); ENERGY-POTENTIALS; ENERGY-TRANSFER; HYDROLOGY MODELING; NET PRIMARY PRODUCTIVITY; PROCESS-BASED; REMOTE-SENSING; VEGETATION MODEL;

REMOTE SENSING;

EID: 84909970744     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-94-007-6642-6_4     Document Type: Chapter

References (27)

1. Bartholome, E., & Belward, A. S. (2005). GLC2000: A new approach to global land cover mapping from earth observation data. International Journal of Remote Sensing, 26, 1959-1977.
2. Børresen, T. (1999). The effect of straw management and reduced tillage on soil properties and crop yields of spring-sown cereals on two loam soils in Norway. Soil and Tillage Research, 51, 91-102.
3. Burridge, D. M., & Gadd, A. J. (1974). The meteorological office operational 10-level numerical weather prediction model. British Meteorological Office Tech. Notes Nos. 12 and 48.
4. Collatz, G. J., Ribas-Carbo, M., & Berry, J. A. (1992). Coupled photosynthesis - Stomatal conductance model for leaves of C4 plants. Australian Journal of Plant Physiology, 19, 519-538.
5. Cox, P. M., Betty, R. A., Bunton, C. B., Essery, R. L. H., Rowntree, P. R., & Smith, J. (1999). The impact of new land surface physics on the GCM simulation of climate and climate sensitivity. Climate Dynamics, 15, 183-203.
6. Di Gregorio, A., & Jansen, L. J. M. (2001). Land cover classification system (LCCS): Classification concepts and user manual for software version 1.0. Rome: United Nations Food and Agricultural Organization.
7. Farquhar, G. D., von Caemmerer, S., & Berry, J. A. (1980). A biochemical model of photosynthesis in leaves of C3 species. Planta, 149, 58-90.
8. Federer, C. A. (1979). A soil-plant-atmosphere model for transpiration and availability of soil water. Water Resources Research, 15, 555-562.
9. Food and Agriculture Organization - United Nations Educational, Scientific and Cultural Organization (FAO-UNESCO). (1974). Soil map of the world. Volume I: Legend. Paris: UNESCO.
10. Fritsche, U. R., Dehoust, G., Jenseit, W., Hünecke, K., Rausch, L., Schüler, D., Wiegmann, K., Heinz, A., Hiebel, M., Ising, M., Kabasci, S., Unger, C., Thrän, D., Fröhlich, N., Scholwin, F., Reinhardt, G., Gärtner, S., Patyk, A., Baur, F., Bemmann, U., Groß, B., Heib, M., Ziegler, C., Flake, M., Schmehl, M., & Simon, S. (2004). Stoffstromanalyse zur nachhaltigen energetischen Nutzung von Biomasse - Endbericht. Berlin: BMU.
11. Fritz, S., Bartholomé, E., Belward, A., Hartley, A., Stibig, H., Eva, H., Mayaux, P., Bartalev, S., Latifovic, R., Kolmert, S., Roy, P., Agrawal, S., Bingfang, W., Wenting, X., Ledwith, M., Pekel, F., Giri, C., Mücher, S., de Badts, E., Tateishi, R., Champeaux, J.-L., & Defourny, P. (2003). Harmonisation, mosaicing and production of the Global Land Cover 2000 database (beta version). Luxembourg: EUR 20849 EN/European Commission (EC)/Joint Research Centre (JRC).
12. Garrigues, S., Lacaze, R., Baret, F., Morisette, J. T., Weiss, M., Nickeson, J. E., Fernandes, R., Plummer, S., Shabanov, N. V., Myneni, R. B., Knyazikhin, Y., & Yang, W. (2008). Validation and intercomparison of global leaf area index products derived from remote sensing data. Journal of Geophysical Research, 113, G02028.
13. Gauder, M., Graeff-Hönninger, S., & Claupein, W. (2011). Identifying the regional straw potential for energetic use on the basis of statistical information. Biomass and Bioenergy, 35, 1646-1654.
14. Jorden, D., Žgur, S., Gorjanc, G., & Štuhec, I. (2008). Straw or hay as environmental improvement and its effect on behaviour and production traits of fattening pigs. Archiv Tierzucht/Archives Animal Breeding, 51, 1-11.
15. Kaltschmitt, M., & Hartmann, H. (Eds.). (2001). Energie aus Biomasse - Grundlagen, Techniken und Verfahren. Berlin/Heidelberg: Springer.
16. Knorr, W., & Heimann, M. (2001). Uncertainties in global terrestrial biosphere modeling, Part I: A comprehensive sensitivity analysis with a new photosynthesis and energy balance scheme. Global Biogeochemical Cycles, 15, 207-225.
17. MARS. (2006). Agrometeorological bulletin of the MARS project, 14 (6). Retrieved December 7, 2012, from ftp://mars.jrc.ec.europa.eu/Bulletin/Europe/2006/TR2006-V14-6-PRINT.pdf
18. MARS. (2007). Agrometeorological bulletin of the MARS project, 15 (6). Retrieved December 7, 2012, from ftp://mars.jrc.ec.europa.eu/Bulletin/Europe/2007/TR2007-15-6.pdf
19. Monteith, J. L. (1965). Evaporation and environment in the state and movement of water in living organisms. Symposium of the Society of Experimental Biology, 19, 205-234.
20. Pacan, B., & Dröge, S. (2010). Abschlussbericht zum Forschungsprojekt: Stoffliche und energetische Nutzung von Stroh. Pirmasens: PFI.
21. Sellers, P. J. (1985). Canopy reflectance, photosynthesis and transpiration. International Journal of Remote Sensing, 6, 1335-1372.
22. Thrän, D., Bunzel, K., Seyfert, U., Zeller, V., Buchhorn, M., Müller, K., Matzdorf, B., Gaasch, N., Klöckner, K., Möller, I., Starick, A., Brandes, J., Günther, K. P., Tum, M., Zeddies, J., Schönleber, N., Gamer, W., Schweinle, J., & Weimar, H. (2009). Regionale und globale räumliche Verteilung von Biomassepotenzialen. Berlin: BBSR.
23. Tum, M., & Günther, K. P. (2011). Validating modelled NPP using statistical yield data. Biomass and Bioenergy, 35, 4665-4674.
24. Tum, M., Buchhorn, M., Günther, K. P., & Haller, B. C. (2011). Validation of modelled forest biomass in Germany using BETHY/DLR. Geoscientific Model Development, 4, 1019-1034.
25. Wisskirchen, K. (2005). Modellierung der regionalen CO2-Aufnahme durch Vegetation. Dissertation, Friedrich - Wilhelm-Universität Bonn.
26. Zebarth, B. J., Scott, P., & Sharifi, M. (2009). Effect of straw and fertilizer nitrogen management for spring barley on soil nitrogen supply to a subsequent potato crop. American Journal of Potato Research, 86, 209-217.
27. Zeller, V., Weiser, C., Hennenberg, K., Reinicke, F., Schaubach, K., Thrän, D., Vetter, A., & Wagner, B. (2011). Basisinformationen für eine nachhaltige Nutzung landwirtschaftlicher Reststoffe zur Bioenergiebereitstellung. Schriftreihe des BMU-Förderprogramms "Energetische Biomassenutzung" Band 2. Berlin: BMU.