Model collaboration for the improved assessment of biomass supply, demand, and impacts

GCB Bioenergy

Volumn 7, Issue 3, 2015, Pages 422-437

  Wicke, Birka ^a   van der Hilst, Floor ^a   Daioglou, Vassilis ^a,b   Banse, Martin ^c   Beringer, Tim ^d   Gerssen Gondelach, Sarah ^a   Heijnen, Sanne ^a   Karssenberg, Derek ^e   Laborde, David ^f   Lippe, Melvin ^g   van Meijl, Hans ^h   Nassar, André ⁱ   Powell, Jeff ^j   Prins, Anne Gerdien ^b   Rose, Steve N K ^j   Smeets, Edward M W ^h   Stehfest, Elke ^b   Tyner, Wallace E ^k   Verstegen, Judith A ^a   Valin, Hugo ^l   van Vuuren, Detlef P ^a,b   Yeh, Sonia ^m   Faaij, André P C ^a   more..

^a UTRECHT UNIVERSITY   (Netherlands)

^b PBL NETHERLANDS ENVIRONMENTAL ASSESSMENT AGENCY   (Netherlands)

^c THÜNEN INSTITUTE OF CLIMATE SMART AGRICULTURE   (Germany)

^d POTSDAM INSTITUTE FOR CLIMATE IMPACT RESEARCH   (Germany)

^e UTRECHT UNIVERSITY   (Netherlands)

^f INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE   (United States)

^g UNIVERSITY OF HOHENHEIM   (Germany)

^h WAGENINGEN UNIVERSITY   (Netherlands)

ⁱ General Furtado do Nascimento   (Brazil)

^j ELECTRIC POWER RESEARCH INSTITUTE   (United States)

^k PURDUE UNIVERSITY   (United States)

^l INTERNATIONAL INSTITUTE FOR APPLIED SYSTEMS ANALYSIS   (Austria)

^m UNIVERSITY OF CALIFORNIA   (United States)

more..

Author keywords

Biomass supply and demand; Bottom up modeling; Impacts; Integrated assessment; Model collaboration; Top down modeling

Indexed keywords

AGRICULTURAL WASTES; AGRICULTURE; BIOMASS; DECISION MAKING; ECONOMIC AND SOCIAL EFFECTS; GAS EMISSIONS; GREENHOUSE GASES; LAND USE;

BIOMASS SUPPLY; BOTTOM UP MODELS; IMPACTS; INTEGRATED ASSESSMENT; TOP DOWN MODELS;

ECONOMICS;

ASSESSMENT METHOD; BIOMASS; LAND USE CHANGE; MODELING; POLICY MAKING;

EID: 84927697621     PISSN: 17571693     EISSN: 17571707     Source Type: Journal    
DOI: 10.1111/gcbb.12176     Document Type: Article

References (119)

1. Acosta-Michlik L, Lucht W, Bondeau A, Beringer T (2011) Integrated assessment of sustainability trade-offs and pathways for global bioenergy production: framing a novel hybrid approach. Renewable and Sustainable Energy Reviews, 15, 2791-2809.
2. Babcock BA, Marette S, Tréguer D (2011) Opportunity for profitable investments in cellulosic biofuels. Energy Policy, 39, 714-719.
3. Banse M, van Meijl H, Tabeau A, Woltjer G (2008) Will EU biofuel policies affect global agricultural markets? European Review of Agricultural Economics, 35, 117-141.
4. Banse M, van Meijl H, Tabeau A, Woltjer G, Hellmann F, Verburg PH (2011) Impact of EU biofuel policies on world agricultural production and land use. Biomass and Bioenergy, 35, 2385-2390.
5. Batidzirai B, Smeets EMW, Faaij APC (2012) Harmonising bioenergy resource potentials: methodological lessons from review of state of the art bioenergy potential assessments. Renewable and Sustainable Energy Reviews, 16, 6598-6630.
6. Beach RH, Zhang YW, McCarl BA (2012) Modeling bioenergy, land use, and GHG emissions with FASOMGHG: model overview and analysis of storage cost implications. Climate Change Economics, 03, 1250012.
7. Beringer T, Lucht W, Schaphoff S (2011) Bioenergy production potential of global biomass plantations under environmental and agricultural constraints. Global Change Biology Bioenergy, 3, 299-312.
8. Berndes G (2002) Bioenergy and water-the implications of large-scale bioenergy production for water use and supply. Global Environmental Change, 12, 253-271.
9. BioGrace (2011). Harmonised Calculations of Biofuel Greenhouse Gas Emissions. Available at http://www.biograce.net/. (accessed 24 September 2013)
10. Block PJ, Strzepek K, Rosegrant M, Diao X (2006) Impacts of Considering Climate Variability on Investment Decisions in Ethiopia. EPT Discussion Paper No. 150. International Food Policy Research Institute, Washington, DC.
11. Borjas G (2004) Increasing the Supply of Labor Through Immigration: Measuring the Impacts on Native-born Workers. Center for Immigration Studies, Washington DC.
12. Bouet A, Dimaranan BV, Valin H (2010) Modeling the global trade and environmental impacts of biofuel policies. IFPRI Discussion Paper 01018). International Food Policy Research Institute, Washington, DC.
13. Bouwman AF, van der Hoek KW, Eickhout B, Soenario I (2005) Exploring changes in world ruminant production systems. Agricultural Systems, 84, 121-153.
14. Britz W, Delzeit R (2013) The impact of German biogas production on European and global agricultural markets, land use and the environment. Energy Policy, 62, 1268-1275.
15. Cai X, Zhang X, Wang D (2010) Land availability for biofuel production. Environmental Science & Technology, 45, 334-339.
16. Chaturvedi V, Hejazi M, Edmonds J, Clarke L, Kyle P, Davies E, Wise M (2013) Climate mitigation policy implications for global irrigation water demand. Mitigation and Adaptation Strategies for Global Change. doi: 10.1007/s11027-013-9497-4
17. Chen X, Huang H, Khanna M (2012) Land-use and greenhouse gas implications of biofuels: role of technology and policy. Climate Change Economics, 3, 1250013.
18. Chum H, Faaij APC, Moreira J et al. (2011) Bioenergy. In: IPCC Special Report on Renewable Energy Sources and Climate Change Mitigation (eds Edenhofer O, Pichs-Madruga R, Sokona Y, Seyboth K, Matschoss P, Kadner S, Zwickel T, Eickemeier P, Hansen G, Schlömer S, vonStechow C) pp. 209-331. Cambridge University Press, Cambridge, UK and New York, USA.
19. Clarke D, Jablonski S, Moran B, Anandarajah G, Taylor G (2009) How can accelerated development of bioenergy contribute to the future UK energy mix? insights from a MARKAL modelling exercise. Biotechnology for Biofuels, 2, 13.
20. Creutzig F, Popp A, Plevin R, Luderer G, Minx J, Edenhofer O (2012) Reconciling top-down and bottom-up modelling on future bioenergy deployment. Nature Climate Change, 2, 320-327.
21. De Gorter H, Just D (2009) The economics of a blend mandate for biofuels. American Journal of Agricultural Economics, 91, 738-750.
22. De La Torre Ugarte DG, Ray DE (2000) Biomass and bioenergy applications of the POLYSYS modeling framework. Biomass and Bioenergy, 18, 291-308.
23. Dornburg V, van Vuuren DP, van de Ven G et al. (2010) Bioenergy revisited: key factors in global potentials of bioenergy. Energy and Environmental Science, 3, 258-267.
24. EC (2012) Innovating for sustainable growth: A bioeconomy for Europe. European Commission, Brussels, Belgium.
25. Edwards R, Mullighan D, Marelli L (2010) Indirect Land Use Change from increased biofuels demand - Comparison of models and results for marginal biofuels production from different feedstocks. Joint Research Centre, Institute for Energy, Ispra, Italy.
26. Elobeid A, Tokgoz S (2008) Removing distortions in the US ethanol market: what does it imply for the US and Brazil? American Journal of Agricultural Economics, 90, 918.
27. Fabiosa JF, Beghin JC, Dong F, Elobeid A, Tokgoz S, Yu T-H (2010) Land allocation effects of the global ethanol surge: predictions from the international FAPRI model. Land Economics, 86, 687-706.
28. Fischer G, Prieler S, van Velthuizen H, Lensink SM, Londo M, de Wit M (2010) Biofuel production potentials in europe: sustainable use of cultivated land and pastures. part I: land productivity potentials. Biomass and Bioenergy, 34, 159-172.
29. Fritsche UR, Sims REH, Monti A (2010) Direct and indirect land-use competition issues for energy crops and their sustainable production - an overview. Biofuels, Bioproducts and Biorefining, 4, 692-704.
30. GEA (2012) Global Energy Assessment - Toward a Sustainable Future, Cambridge University Press and the International Institute for Applied Systems Analysis, Cambridge, UK and New York, USA and Laxenburg, Austria.
31. Haberl H, Beringer T, Bhattacharya SC, Erb K-H, Hoogwijk M (2010) The global technical potential of bio-energy in 2050 considering sustainability constraints. Current Opinion in Environmental Sustainability, 2, 394-403.
32. Havlík P, Schneider UA, Schmid E et al. (2011) Global land-use implications of first and second generation biofuel targets. Energy Policy, 39, 5690-5702.
33. Havlík P, Valin H, Mosnier A et al. (2013) Crop productivity and the global livestock sector: implications for land use change and greenhouse gas emissions. American Journal of Agricultural Economics, 95, 442-448.
34. Havlík P, Valin H, Herrero M et al. (2014) Climate change mitigation through livestock systems transitions. Proceedings of the National Academy of Sciences of the United States of America, doi: 10.1073/pnas.1308044111.
35. Hellmann F, Verburg PH (2011) Spatially explicit modelling of biofuel crops in Europe. Biomass and Bioenergy, 35, 2411-2424.
36. Hengl T (2006) Finding the right pixel size. Computers & Geosciences, 32, 1283-1298.
37. Hertel T (1999) Applied General Equilibrium Analysis of Agricultural and Resources Policies. Department of Agricultural Economics, Purdue University, West Lafayette, IN, USA.
38. Hertel T, Beckman J (2010) Commodity price volatility in the biofuel era: an examination of the linkage between energy and agricultural markets. GTAP Working Paper No. 60. Center for Global Trade Analysis, Purdue University, West Lafayette, IN, USA.
39. Hertel T, Tyner WE (2013) Market-mediated environmental impacts of biofuels. Global Food Security, 2, 131-137.
40. Hertel T, Tyner W, Birur D (2010) The global impacts of biofuel mandates. Energy Journal, 31, 75-100.
41. Hertel TW, Rose S, Tol RS (2011) Economic Analysis of Land Use in Global Climate Change Policy. Routledge, Oxford.
42. van der Hilst F, Verstegen JA, Karssenberg D, Faaij APC (2012) Spatiotemporal land use modelling to assess land availability for energy crops - illustrated for Mozambique. Global Change Biology Bioenergy, 4, 859-874.
43. van der Hilst F, Verstegen JA, Zhelyezna T, Drozdova O, Faaij APC(2014) Integrated spatiotemporal analysis bioenergy production potential agricultural land use, and related GHG balances in Ukraine. Accepted in Biofuels, Bioproducts and Biorefining. doi: 10.1002/bbb.1471.
44. Hoefnagels R, Smeets EMW, Faaij APC (2010) Greenhouse gas footprints of different biofuel production systems. Renewable and Sustainable Energy Reviews, 14, 1661-1694.
45. Hoefnagels R, Banse M, Dornburg V, Faaij APC (2013) Macro-economic impact of large-scale deployment of biomass resources for energy and materials on a national level - a combined approach for the Netherlands. Energy Policy, 59, 727-744.
46. Hoogwijk M, Faaij APC, Eickhout B, de Vries B, Turkenburg W (2005) Potential of biomass energy out to 2100, for four IPCC SRES land-use scenarios. Biomass and Bioenergy, 29, 225-257.
47. Hourcade JC, Jaccard M, Bataille C, Ghersi F (2006) Hybrid modeling: new answers to old challenges. The Energy Journal, 2, 1-12.
48. IPCC (2006) Summary for Policymakers. In: IPCC Special Report on Renewable Energy Sources and Climate Change Mitigation, (eds Edenhofer O, Pichs-Madruga R, Sokona Y, Seyboth K, Matschoss P, Kadner S, Zwickel T, Eickemeier P, Hansen G, Schlömer S, von Stechow C), pp. 3-26. Cambridge University Press, Cambridge, UK and New York, USA.
49. IPCC SRES (2000) Special Report on Emissions Scenarios: A special report of Working Group III of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge.
50. Kainuma M, Matsuoka Y, Morita T (2003) Climate policy assessment: Asia-Pacific integrated modeling. Springer, Tokyo.
51. Kambou G, Devarajan S, Over M (1992) The economic impact of AIDS in an African country: simulations with a computable general equilibrium model of cameroon. Journal of African Economies, 1, 109-130.
52. Keeney R, Hertel TW (2009) The indirect land use impacts of united states biofuel policies: the importance of acreage, yield, and bilateral trade responses. American Journal of Agricultural Economics, 91, 895-909.
53. Kendall A, Chang B, Sharpe B (2009) Accounting for time-dependent effects in biofuel life cycle greenhouse gas emissions calculations. Environmental Science and Technology, 43, 7142-7147.
54. Kenney I, Blanco-Canqui H, Presley DR, Rice CW, Janssen K, Olson B (2014) Soil and crop response to stover removal from rainfed and irrigated corn. Global Change Biology Bioenergy. 7, 219-230.
55. Kim JH (2013) Spatiotemporal scale dependency and other sensitivities in dynamic land-use change simulations. International Journal of Geographical Information Science, 27, 1782-1803.
56. Kraxner F, Nordström E-M, Havlík P et al. (2013) Global bioenergy scenarios - future forest development, land-use implications, and trade-offs. Biomass and Bioenergy, 57, 86-96.
57. Kurka T, Jefferies C, Blackwood D (2012) GIS-based location suitability of decentralized, medium scale bioenergy developments to estimate transport CO2 emissions and costs. Biomass and Bioenergy, 46, 366-379.
58. Laborde D (2011) Assessing the land use change consequences of European biofuels policies. International Food Policy Research Institute (IFPRI), Washington, DC.
59. Laborde D, Valin H (2012) Modeling land-use changes in a global CGE: assessing the EU biofuel mandates with the Mirage-BioF model. Climate Change Economics, 3, 1250017.
60. Lambin EF, Turner BL, Geist HJ et al. (2001) The causes of land-use and land-cover change: moving beyond the myths. Global Environmental Change, 11, 261-269.
61. Lapola DM, Schaldach R, Alcamo J, Bondeau A, Koch J, Koelking C, Priess JA (2010) Indirect land-use changes can overcome carbon savings from biofuels in Brazil. Proceedings of National Academy of Science of the United States of America, published ahead of print February 8, 2010.
62. Leal MRLV, Galdos MV, Scarpare FV, Seabra JEA, Walter A, Oliveira COF (2013) Sugarcane straw availability, quality, recovery and energy use: a literature review. Biomass and Bioenergy, 53, 11-19.
63. Leimbach M, Popp A, Lotze-Campen H, Bauer N, Dietrich JP, Klein D (2011) Integrated assessment models - the interplay of climate change, agriculture and land use in a policy tool. In: Handbook on Climate Change and Agriculture (eds Dinar A, Mendelsohn R), pp. 204-229. Edward Elgar, Cheltenham.
64. Lotze-Campen H, von Lampe M, Kyle P et al. (2014) Impacts of increased bioenergy demand on global food markets: an AgMIP economic model intercomparison. Agricultural Economics, 45, 103-115.
65. Macedo IC, Seabra JEA, Silva JEAR (2008) Green house gases emissions in the production and use of ethanol from sugarcane in Brazil: the 2005/2006 averages and a prediction for 2020. Biomass and Bioenergy, 32, 582-595.
66. Marohn C, Cadisch G (2011) Documentation and manual of the LUCIA model version 1.2, Institute of Plant Production and Agroecology in the Tropics and Subtropics, University Hohenheim, Stuttgart, Germany.
67. Martha GB Jr, Alves E, Contini E (2012) Land-saving approaches and beef production growth in Brazil. Agricultural Systems, 110, 173-177.
68. Masera O, Ghilardi A, Drigo R, Angel Trossero M (2006) WISDOM: a GIS-based supply demand mapping tool for woodfuel management. Biomass and Bioenergy, 30, 618-637.
69. van Meijl H, van Rheenen T, Tabeau A, Eickhout B (2006) The impact of different policy environments on agricultural land use in Europe. Agriculture, Ecosystems & Environment, 114, 21-38.
70. van Meijl H, Smeets EMW, van Dijk M, Powell J (2012) Macro-economic impact study for Bio-based Malaysia. LEI report 2012-042. WUR-LEI. The Hague.
71. Mitchell D (2008) A note on rising food prices. Policy Research Working Paper 4682. World Bank. Washington, DC.
72. Mosnier A, Havlík P, Valin H et al. (2013) Alternative U.S. biofuel mandates and global GHG emissions: the role of land use change, crop management and yield growth. Energy Policy, 57, 602-614.
73. Msangi S, Sulser T, Rosegrant M, Valmonte-Santos R, Ringler C (2007) Global scenarios for biofuels: Impacts and implications. International Food Policy Research Institute (IFPRI), Washington, DC.
74. Muth DJ Jr, Bryden KM (2012) An integrated model for assessment of sustainable agricultural residue removal limits for bioenergy systems. Environmental Modelling & Software, 39, 50-69.
75. Narayanan BG, Walmsley TL (2008) Global Trade, Assistance, and Production: The GTAP 7 Data Base. Purdue University, West Lafayette, IN, USA, Center for Global Trade Analysis.
76. Nassar AM, Harfuch L, Bachion LC, Moreira MR (2011) Biofuels and land-use changes: searching for the top model. Interface Focus, 1, 224-232.
77. Neumann K, Verburg PH, Elbersen B, Stehfest E, Woltjer GB (2011) Multi-scale scenarios of spatial-temporal dynamics in the European livestock sector. Agriculture, Ecosystems & Environment, 140, 88-101.
78. OECD (2009) The Bioeconomy to 2030: Designing a policy agenda. Organisation for Economic Co-operation and Development, Paris, France.
79. PBL (2014) IMAGE 3.0. Model Documentation. Netherlands Environmental Assessment Agency (PBL), Bilthoven, the Netherlands.
80. Plevin RJ, O'Hare M, Jones AD, Torn MS, Gibbs HK (2010) Greenhouse gas emissions from biofuels' indirect land use change are uncertain but may be much greater than previously estimated. Environmental Science and Technology, 44, 8015-8021.
81. Popp A, Dietrich JP, Lotze-Campen H et al. (2011) The economic potential of bioenergy for climate change mitigation with special attention given to implications for the land system. Purdue Extension Renewable Energy Series RE-7-W, 12 pages., 6, 034017.
82. Pratt M, Tyner WE, Muth DJ, Kladivko EJ (2013) Synergies between cover crops and corn stover removal. Purdue Extension Renewable Energy Series RE-7-W, 12 pages. Available at: www.extension.purdue.edu/extmedia/RE/RE-7-W.pdf (accessed 26 February 2014).
83. Reisinger A, Havlík P, Riahi K, van Vliet O, Obersteiner M, Herrero M (2013) Implications of alternative metrics for global mitigation costs and greenhouse gas emissions from agriculture. Climatic Change, 117, 677-690.
84. Robinson T, Thornton P, Franceschini G et al. (2011) Global livestock production systems. Food and Agriculture Organization of the United Nations (FAO) and International Livestock Research Institute (ILRI), Rome, Italy and Nairobi, Kenya.
85. Robinson S, van Meijl H, Willenbockel D et al. (2014) Comparing supply-side specifications in models of the global agriculture and the food system. Agricultural Economics, 45, 21-35.
86. Rose SK, Ahammad H, Eickhout B et al. (2012) Land-based mitigation in climate stabilization. Energy Economics, 34, 365-380.
87. Rose SK, Kriegler E, Bibas R, Calvin K, Popp A, van Vuuren DP, Weyant J (2013) Bioenergy in energy transformation and climate management. Climatic Change, doi: 10.1007/s10584-013-0965-3.
88. Rosegrant MW, Ringler C, Msangi S, Sulser TB, Zhu T, Cline SA (2012) International Model for Policy Analysis of Agricultural Commodities and Trade (IMPACT): Model Description. International Food Policy Research Institute (IFPRI), Washington, DC.
89. Schneider UA, McCarl BA, Schmid E (2007) Agricultural sector analysis on greenhouse gas mitigation in US agriculture and forestry. Agricultural Systems, 94, 128-140.
90. Schubert R, Schellnhuber HJ, Buchmann N et al. (2009) Future bioenergy and sustainable land use. Earthscan, London, UK and Sterling, VA, USA, German Advisory Council on Global Change (WBGU).
91. Scott JA, Ho W, Dey PK (2012) A review of multi-criteria decision-making methods for bioenergy systems. Energy, 42, 146-156.
92. Searchinger T, Heimlich R, Houghton RA et al. (2008) Use of US croplands for biofuels increases greenhouse gases through emissions from land-use change. Science, 319, 1238-1240.
93. Shoven JB, Whalley J (1984) Applied general-equilibrium models of taxation and international trade: an introduction and survey. Journal of Economic Literature, 22, 1007-1051.
94. Shrestha S, Ciaian P, Himics M, van Doorslaer B (2013) Impacts of climate change on EU agriculture. Review of Agricultural and Applied Economics, 16, 24-39.
95. Smeets EMW, Faaij APC, Lewandowski IM, Turkenburg WC (2007) A bottom-up assessment and review of global bio-energy potentials to 2050. Progress in Energy and Combustion Science, 33, 56-106.
96. Smeets EMW, Bouwman LF, Stehfest E, van Vuuren DP, Posthuma A (2009) Contribution of N2O to the greenhouse gas balance of first-generation biofuels. Global Change Biology, 15, 1-23.
97. Smith P, Gregory PJ, van Vuuren DP et al. (2010) Competition for land. Philosophical Transactions of the Royal Society B: Biological Sciences, 365, 2941-2957.
98. Stehfest E, van den Berg M, Woltjer G, Msangi S, Westhoek H (2013) Options to reduce the environmental effects of livestock production - comparison of two economic models. Agricultural Systems, 114, 38-53.
99. Taheipour F, Tyner W (2012) Welfare assessment of the renewable fuel standard: Economic efficiency, rebound effect and policy interaction in a general equilibrium framework. 15th Annual Conference on Global Economic Analysis. Geneva.
100. Taheripour F, Tyner WE (2013a) Incorporating recent land use change data into simulations of biofuels land use change. Applied Sciences, 3, 14-38.
101. Taheripour F, Tyner WE (2013b) Induced land use emissions due to first and second generation biofuels and uncertainty in land use emission factors. Economics Research International, 2013, Article ID 315787.
102. Tilman D, Socolow R, Foley JA et al. (2009) Beneficial biofuels - the food, energy, and environment trilemma. Science, 325, 270-271.
103. Trabucco A, Achten WMJ, Bowe C, Aerts RAF, Orshoven JV, Norgrove L, Muys B (2010) Global mapping of Jatropha curcas yield based on response of fitness to present and future climate. Global Change Biology Bioenergy, 2, 139-151.
104. Verburg PH, Veldkamp A (2004) Projecting land use transitions at forest fringes in the Philippines at two spatial scales. Landscape Ecology, 19, 77-98.
105. Verburg PH, de Koning GHJ, Kok K, Veldkamp A, Bouma J (1999) A spatial explicit allocation procedure for modelling the pattern of land use change based upon actual land use. Ecological Modelling, 116, 45-61.
106. Verstegen JA, Karssenberg D, van der Hilst F, Faaij APC (2012) Spatio-temporal uncertainty in spatial decision support systems: a case study of changing land availability for bioenergy crops in mozambique. Computers, Environment and Urban Systems, 36, 30-42.
107. van Vuuren DP, van Vliet J, Stehfest E (2009) Future bio-energy potential under various natural constraints. Energy Policy, 37, 4220-4230.
108. van Vuuren DP, Edmonds J, Thomson A et al. (2011) Representative concentration pathways: an overview. Climatic Change, 109, 5-31.
109. van den Wall Bake JD, Junginger M, Faaij APC, Poot T, Walter A (2009) Explaining the experience curve: cost reductions of Brazilian ethanol from sugarcane. Biomass and Bioenergy, 33, 644-658.
110. Wang M, Han J, Dunn JB, Cai H, Elgowainy A (2012) Well-to-wheels energy use and greenhouse gas emissions of ethanol from corn, sugarcane and cellulosic biomass for US use. Environmental Research Letters, 7, 045905.
111. Wicke B, Verweij P, van Meijl H, van Vuuren DP, Faaij APC (2012) Indirect land use change: review of existing models and strategies for mitigation. Biofuels, 3, 87-100.
112. 2 concentrations for land use and energy. Science, 324, 1183-1186.
113. Wiskerke WT, Dornburg V, Rubanza CDK, Malimbwi RE, Faaij APC (2010) Cost/benefit analysis of biomass energy supply options for rural smallholders in the semi-arid eastern part of Shinyanga Region in Tanzania. Renewable and Sustainable Energy Reviews, 1, 148-165.
114. de Wit M, Junginger M, Lensink S, Londo M, Faaij APC (2010) Competition between biofuels: modeling technological learning and cost reductions over time. Biomass and Bioenergy, 34, 203-217.
115. de Wit M, Lesschen JP, Londo M, Faaij APC (2014) Greenhouse gas mitigation effects of integrating biomass production into European agriculture. Biofuels, Bioproducts and Biorefining, doi: 10.1002/bbb.1470.
116. Woltjer G (2013) Report on Global CGE model, TAPSIM deliverable D6.1. WUR-LEI. The Hague.
117. Yeh S, Witcover J (2010) Indirect land-use change from biofuels: Recent developments in modeling and policy landscapes. International Food and Agricultural Trade Policy Council, Washington, DC, USA.
118. Yui S, Yeh S (2013) Land use change emissions from oil palm expansion in Pará, Brazil depend on proper policy enforcement on deforested lands. Environmental Research Letters, 8, 044031.
119. Zilberman D (2013) The economics of sustainable development. American Journal of Agricultural Economics, first published online September 24, 2013. doi: 10.1093/ajae/aat075.