Optimization-based trade-off analysis of biodiesel crop production for managing an agricultural catchment

Environmental Modelling and Software

Volumn 48, Issue , 2013, Pages 98-112

  Lautenbach, Sven ^a,b   Volk, Martin ^b   Strauch, Michael ^b,c   Whittaker, Gerald ^d   Seppelt, Ralf ^b,e  

^a UNIVERSITY OF BONN   (Germany)

^b HELMHOLTZ CENTRE FOR ENVIRONMENTAL RESEARCH UFZ   (Germany)

^c DRESDEN UNIVERSITY OF TECHNOLOGY   (Germany)

^d AGRICULTURAL RESEARCH SERVICE   (United States)

^e MARTIN LUTHER UNIVERSITY HALLE WITTENBERG   (Germany)

Author keywords

Bioenergy; Crop rotation schemes; Genetic algorithm; Land use; River basin management; Water quality

Indexed keywords

AGRICULTURAL CATCHMENTS; BIO-ENERGY; CONFLICTING OBJECTIVES; CROP ROTATION; MULTI-OBJECTIVE GENETIC ALGORITHM; NONDOMINATED SOLUTIONS; PARETO-OPTIMAL FRONTIERS; RIVER BASIN MANAGEMENT;

BIODIVERSITY; BIOFUELS; CATCHMENTS; CHEMICAL CONTAMINATION; CROPS; CULTIVATION; GENETIC ALGORITHMS; LAND USE; MULTIOBJECTIVE OPTIMIZATION; OILSEEDS; RUNOFF; WATER MANAGEMENT; WATER QUALITY;

ECONOMIC AND SOCIAL EFFECTS;

AGRICULTURAL CATCHMENT; BASIN MANAGEMENT; BIOENERGY; BIOFUEL; CROP PRODUCTION; CROP ROTATION; FODDER; FOOD PRODUCTION; GENETIC ALGORITHM; LAND USE CHANGE; OPTIMIZATION; RIVER BASIN; TRADE-OFF; WATER QUALITY;

GERMANY;

EID: 84880624831     PISSN: 13648152     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.envsoft.2013.06.006     Document Type: Article

References (81)

1. Abraham J. Ableitung typischer landwirtschaftlicher Fruchtfolgen für das Gebiet der Weißen Elster auf Naturraumebene als Grundlage für die Modellanwendung Candy und SWAT 2004, (unpublished data).
2. Arnold J.G., Allen P. Estimating hydrologic budgets for three Illinois watersheds. Journal of Hydrology 1996, 176:57-77.
3. Arnold J.G., Fohrer N. SWAT2000: current capabilities and research opportunities in applied watershed modelling. Hydrological Processes 2005, 19:563-572.
4. Beven K.J., Binley A. The future of distributed models: model calibration and uncertainty prediction. Hydrological Processes 1992, 6:279-298.
5. Bundestag Deutscher Bericht zur Steuerbegünstigung für Biokraftstoffe 2011 2012, Drucksache 17/10617.
6. Byrd R.H., Lu P., Nocedal J., Zhu C. Alimited-memory algorithm for bound constrained optimization. SIAM Journal on Scientific Computing 1995, 16:1190-1280.
7. Coello C.A.C., Lamont G.B., Veldhuizen D.A.Van Evolutionary Algorithms for Solving Multi-objective Problems 2007, Springer Berlin Heidelberg. second ed.
8. Cook D., Swayn D.F. Interactive and Dynamic Graphics for Data Analysis: with R and GGobi 2007, Springer Berlin Heidelberg.
9. Darradi Y., Saur E., Laplana R., Lescot J.-M., Kuentz V., Meyer Burghard C. Optimizing the environmental performance of agricultural activities: a case study in La Boulouze watershed. Ecological Indicators 2012, 22:27-37.
10. Deb K. Multi-objective Optimization Using Evolutionary Algorithms 2001, Wiley.
11. Deb K., Pratap A., Agarwal S., Meyarivan T. Afast and elitist multi-objective genetic algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation 2002, 6:182-197.
12. Donner S.D., Kucharik C.J. Corn-based ethanol production compromises goal of reducing nitrogen export by the Mississippi River. Proceedings of the National Academy of Sciences 2008, 105:4513-4518.
13. Engel J., Huth A., Frank K. Bioenergy production and Skylark (Alauda arvensis) population abundance - a modelling approach for the analysis of land-use change impacts and conservation options. GCB Bioenergy 2012, 4:713-727.
14. European Commission Renewable Energy Road Map Renewable Energies in the 21st Century: Building a More Sustainable Future 2007.
15. Fargione J.E., Plevin R.J., Hill J.D. The ecological impact of biofuels. Annual Review of Ecology, Evolution, and Systematics 2010, 41:351-377.
16. Fitzherbert E.B., Struebig M.J., Morel A., Danielsen F., Brühl C.A., Donald P.F., Phalan B. How will oil palm expansion affect biodiversity?. Trends in Ecology & Evolution 2008, 23:538-545.
17. Fletcher R., Reeves C.M. Function minimization by conjugate gradients. Computer Journal 1964, 7:149-154.
18. Fletcher R.J., Robertson B.A., Evans J., Doran P.J., Alavalapati J.R., Schemske D.W. Biodiversity conservation in the era of biofuels: risks and opportunities. Frontiers in Ecology and the Environment 2010, 9:161-168.
19. Fräss-Ehrfeld C. Renewable Energy Sources: a Chance to Combat Climate Change 2009, Kluwer Law Intl.
20. Freyer B. Fruchtfolgen 2003, Ulmer, Regensburg, Germany.
21. Gasparatos A., Stromberg P., Takeuchi K. Biofuels, ecosystem services and human wellbeing: putting biofuels in the ecosystem services narrative. Agriculture, Ecosystems & Environment 2011, 142:111-128.
22. Gassman P.W., Reyes M.R., Green C.H., Arnold J.G. The soil and water assessment tool: historical development, applications and future research directions. Transactions Of The Asabe 2007, 50:1211-1250.
23. Gerbens-Leenes P., Hoekstra A., Vandermeer T. The water footprint of energy from biomass: a quantitative assessment and consequences of an increasing share of bio-energy in energy supply. Ecological Economics 2009, 68:1052-1060.
24. Gerbens-Leenes W., Hoekstra A.Y., Van der Meer T.H. The water footprint of bioenergy. Proceedings of the National Academy of Sciences of the United States of America 2009, 106:10219-10223.
25. German Environmental Ministery Langfristszenarien und Strategien für den Ausbau erneuerbarer Energien in Deutschland - Leitszenario 2009 2009.
26. Goldberg D.E. Genetic Algorithms in Search, Optimization, and Machine Learning 1989, Addison-Wesley Professional.
27. Graham-Rowe D. Beyond food versus fuel. Nature 2011, 474:S6-S8.
28. Groot J., Rossing W., Jellema A., Stobbelaar D., Renting H., Vanittersum M. Exploring multi-scale trade-offs between nature conservation, agricultural profits and landscape quality-a methodology to support discussions on land-use perspectives. Agriculture, Ecosystems & Environment 2007, 120:58-69.
29. Hadka D., Reed P.M. Borg: an auto-adaptive many-objective evolutionary computing framework. Evolutionary Computatio 2012, 1-30.
30. Holzkämper A., Seppelt R. Evaluating cost-effectiveness of conservation management actions in an agricultural landscape on a regional scale. Biological Conservation 2007, 136:117-127.
31. Holzkämper A., Lausch A., Seppelt R. Optimizing landscape configuration to enhance habitat suitability for species with contrasting habitat requirements. Ecological Modelling 2006, 198:277-292.
32. Ingenieurbüro für Grundwasser Leipzig GmbH Hydrologisches Gutachten zur Neubemessung eines Trinkwasserschutzgebietes für die Wasserfassung Naunhof 1997, Leipzig.
33. Isermayer F., Bolte A., Dieter M., De Witte T., Zimmer Y. Bewertung der Leopoldina-Studie 2012 zur Bioenergie Folkhard Isermeyer Gesamtbewertung 2012.
34. Kasprzyk J.R., Nataraj S., Reed P.M., Lempert R.J. Many objective robust decision making for complex environmental systems undergoing change. Environmental Modelling & Software 2013, 42:55-71.
35. Kirkpatrick S., Gelatt C.D., Vecchi M.P. Optimization by simulated annealing. Science 1983, 220:671-680.
36. Kollat J.B., Reed P.M. Comparing state-of-the-art evolutionary multi-objective algorithms for long-term groundwater monitoring design. Advances in Water Resources 2006, 29:792-807.
37. Kollat J.B., Reed P.M. Aframework for visually interactive decision-making and design using evolutionary multi-objective optimization (VIDEO). Environmental Modelling & Software 2007, 22:1691-1704.
38. Kukkonen S., Deb Kalyanmoy Fast and Effective Method for Pruning of Non-dominated Solutions in Many-objective Problems. Lecture Notes in Computer Science 2006, Springer, Berlin/Heidelberg.
39. Landis D.A., Gardiner M.M., Van Der Werf W., Swinton S.M. Increasing Corn for Biofuel Production Reduces Biocontrol Services in Agricultural Landscapes 2008, vol. 105.
40. Laumanns M., Thiele L., Deb Kalyanmoy, Zitzler Eckart Combining convergence and diversity in evolutionary multiobjective optimization. Evolutionary Computation 2002, 10:263-282.
41. Lautenbach S., Volk Martin, Gruber B., Dormann C.F., Strauch M., Seppelt R. Quantifying ecosystem service trade-offs. International Environmental Modelling and Software Society (iEMSs) 2010 International Congress on Environmental Modelling and Software Modelling for Environment's Sake. Ottawa, Canada 2010, D.A. Swayne, W. Yang, A.A. Voinov, A. Rizzoli, T. Filatova (Eds.).
42. Lautenbach S., Maes J., Kattwinkel M., Seppelt R., Strauch M., Scholz M., Schulz-Zunkel C., Volk Martin, Weinert J., Dormann C.F. Mapping water quality-related ecosystem services: concepts and applications for nitrogen retention and pesticide risk reduction. International Journal of Biodiversity Science, Ecosystem Services & Management 2012, 8:35-49.
43. Maringanti C., Chaubey I., Popp J. Development of a multiobjective optimization tool for the selection and placement of best management practices for nonpoint source pollution control. Water Resources Research 2009, 45:1-15.
44. Martin J. Don't foul the water. Nature 2011, 474:S17.
45. McIntosh B.S., Ascough J.C., Twery M., Chew J., Elmahdi A., Haase D., Harou J., Hepting D., Cuddy S., Jakeman A.J., Chen S., Kassahun A., Lautenbach S., Matthews K., Merritt W., Quinn N.W.T., Rodriguez-Roda I., Sieber S., Stavenga M., Sulis A., Ticehurst J., Volk M., Wrobel M., Van Delden H., El-Sawah S., Rizzoli A., Voinov A. Environmental decision support systems (EDSS) development - challenges and best practices. Environmental Modelling & Software 2011, 26:1389-1402.
46. Meehan T.D., Hurlbert A.H., Gratton C. Bird communities in future bioenergy landscapes of the Upper Midwest. Proceedings of the National Academy of Sciences of the United States of America 2010, 107:18533-18538.
47. Meyer Burghard Christian, Lescot J.-M., Laplana R. Comparison of two spatial optimization techniques: a framework to solve multiobjective land use distribution problems. Environmental Management 2009, 43:264-281.
48. Neitsch S.L., Arnold J.G., Kiniry J.R., Srinivasan R., Williams J.R. Soil and Water Assessment Tool - Input/Output File Documentation 2005, Version 2005.
49. Neitsch S.L., Arnold J.G., Kiniry J.R., Williams J.R. Soil and Water Assessment Tool - Documentation 2005, Version 2005.
50. Nicklow J., Asce F., Reed P.M., Asce M., Savic D., Dessalegne T., Harrell L., Chan-hilton A., Karamouz M., Minsker B., Ostfeld A., Singh A., Zechman E. State of the Art for Genetic Algorithms and Beyond in Water Resources Planning and Management 2010, 412-432.
51. Nocedal J., Wright S.J. Numerical Optimization 1999, Springer, New York, New York, USA.
52. Panagopoulos Y., Makropoulos C., Mimikou M. Decision support for diffuse pollution management. Environmental Modelling & Software 2012, 30:57-70.
53. Polasky S., Nelson E., Camm J., Csuti B., Fackler P., Lonsdorf E., Montgomery C., White D., Arthur J., Garberyonts B. Where to put things? Spatial land management to sustain biodiversity and economic returns. Biological Conservation 2008, 141:1505-1524.
54. Rabotyagov S., Campbell T., Jha M., Gassman Philip W., Arnold J.G., Kurkalova L., Secchi S., Feng H., Kling C.L. Least-cost control of agricultural nutrient contributions to the Gulf of Mexico hypoxic zone. Ecological Applications 2010, 20:1542-1555.
55. Reed P.M., Hadka D., Herman J.D., Kasprzyk J.R., Kollat J.B. Evolutionary multiobjective optimization in water resources: the past, present, and future. Advances in Water Resources 2013, 51:438-456.
56. Robbins M. Fuelling politics. Nature 2011, 474:S22-S24.
57. Rodriguez H.G., Popp J., Maringanti C., Chaubey I. Selection and placement of best management practices used to reduce water quality degradation in Lincoln Lake watershed. Water Resources Research 2011, 47:1-13.
58. Schönhart M., Schmid E., Schneider U.a CropRota - a crop rotation model to support integrated land use assessments. European Journal of Agronomy 2011, 34(4):263-277.
59. Seppelt R., Lautenbach S. The Use of Simulation Models and Optimization Techniques in Environmental Management: the Example of Ecosystem Services. Achieving Environmental Security: Ecosystem Services and Human Welfare 2010, 167-179. IOS Press. P.H. Liott (Ed.).
60. Seppelt R., Voinov A. Optimization methodology for land use patterns using spatially explicit landscape models. Ecological Modelling 2002, 151:125-142.
61. Seppelt R., Voinov Alexey Optimization methodology for land use patterns-evaluation based on multiscale habitat pattern comparison. Ecological Modelling 2003, 168:217-231.
62. Seppelt R., Dormann C.F., Eppink F.V., Lautenbach S., Schmidt S. Aquantitative review of ecosystem service studies: approaches, shortcomings and the road ahead. Journal of Applied Ecology 2011, 48:630-636.
63. Seppelt R., Lautenbach S., Volk Martin Identifying trade-offs between ecosystem services, land use, and biodiversity: a plea for combining scenario analysis and optimization on different spatial scales. Current Opinion in Environmental Sustainability 2013, 1-6.
64. Sierra M., Coello Coello C. Improving PSO-based Multi-objective Optimization Using Crowding, Mutation and e-dominance 2005, Springer, Berlin.
65. Spencer P., Flach B., Lieberz S., Bendz K., Dahlbacka B. EU-27 Annual Biofuels Report 2011.
66. Strauch M. Effects of Climate Change and Energy Crop Production on the Water Supply and Water Quality in the Parthe Basin 2008, (in German).
67. Strauch M., Ulrich A., Lorz C., Volk Martin Simulating the effects of climate change and energy crop production on catchment hydrology and water quality using SWAT. 2009 International SWAT Conference Proceedings. Bolder, Colorado 2010, 141-150. K. Twigg, C. Swyden, R. Srinivasan (Eds.).
68. Tilman D., Socolow R., Foley J.A., Hill J., Larson E., Lynd L., Pacala S., Reilly J., Searchinger T., Somerville C., Williams R. Beneficial biofuels-the food, energy, and environment Trilemma. Science 2009, 325:270-271.
69. Ullrich A., Volk Martin Application of the Soil and Water Assessment Tool (SWAT) to predict the impact of alternative management practices on water quality and quantity. Agricultural Water Management 2009, 96:1207-1217.
70. Ullrich A., Volk Martin Influence of different nitrate-N monitoring strategies on load estimation as a base for model calibration and evaluation. Environmental Monitoring and Assessment 2010, 513-527.
71. Vigerstol K.L., Aukema J.E. Acomparison of tools for modeling freshwater ecosystem services. Journal of Environmental Management 2011, 92:2403-2409.
72. Volk M., Liersch S., Schmidt G. Towards the implementation of the European water framework directive? Lessons learned from water quality simulations in an agricultural watershed. Land Use Policy 2009, 26:580-588.
73. Volk M., Lautenbach S., Van Delden H., Newham L.T.., Seppelt R. How can we make progress with decision support systems in landscape and river basin management? Lessons learned from a comparative analysis of four different decision support systems. Environmental Management 2010, 46:834-849.
74. Vrugt J.A., Robinson B.A. Improved evolutionary optimization from genetically adaptive multimethod search. Proceedings of the National Academy of Sciences of the United States of America 2007, 104:708-711.
75. Whittaker G.W. Application of SWAT in the evaluation of salmon habitat remediation policy. Hydrological Processes 2005, 19:839-848.
76. Whittaker G.W., Confesor R., Luzio M.Di, Arnold J.G. Detection of overparametrization and overfitting in an automatic calibration of SWAT. Transactions of the ASABE 2010, 53:1-14.
77. Whittaker G.W., Scott D.W. Indian Statistical Institute nonparametric regression for analysis of complex surveys and geographic visualization. Sankhyā: the Indian Journal of Statistics, Series, B 1999, 61:202-227.
78. Whittaker G.W., Confesor R., Griffith S.M., Färe R., Grosskopf S., Steiner J.J., Muellerwarrant G., Banowetz G.M., Confesor Remegio, Fa R., Mueller-warrant G.W., Fare R. Ahybrid genetic algorithm for multiobjective problems with activity analysis-based local search. European Journal of Operational Research 2009, 193:195-203.
79. Yeh S., Studies T. Evaluation of water use for bioenergy at different scales. Biofuels Bioproducts & Biorefining 2011, 5:361-374.
80. Zinoviev S., Müller-Langer F., Das P., Bertero N., Fornasiero P., Kaltschmitt M., Centi G., Miertus S. Next-generation biofuels: survey of emerging technologies and sustainability issues. Nature 2011, 474:S2-S5.
81. Zitzler E. Evolutionary Algorithms for Multiobjective Optimization: Methods and Applications 1999, (Ph. D. thesis), Swiss Federal Institute of Technology (ETH) Zurich, Switzerland, TIK-Schriftenreihe Nr. 30, Diss ETH No. 13398, Shaker Verlag, Aachen, Germany.