An integrated simulation model to evaluate national measures for the abatement of agricultural nutrients in the Baltic Sea

Agricultural and Food Science

Volumn 18, Issue 3-4, 2009, Pages 440-459

  Hyytiainen, Kan ^a   Ahtiainen, Heini ^a   Heikkilä, Jaakko ^a   Helin, Janne ^a   Huhtala, Anni ^a   Iho, Antti ^a   Koikkalainen, Kauko ^a   Miettinen, Antti ^a   Pouta, Eija ^a   Vesterinen, Janne ^a  

^a FINNISH FOREST RESEARCH INSTITUTE   (Finland)

Author keywords

Cost benefit analysis; Monte carlo simulation; Nutrient abatement; Recreation; Valuation

Indexed keywords

EID: 73349133718     PISSN: 14596067     EISSN: None     Source Type: Journal    
DOI: 10.23986/afsci.5951     Document Type: Article

References (51)

1. Ahtiainen, H. 2009. Valuing international marine resources: A meta-analysis on the Baltic Sea. MTT Discussion Papers 1/2009. Available on the internet: http://www.mtt.fi/english/publications/dp/2009/ DP2009-1.pdf
2. Baltic Nest Institute. 2008. Nest, an information environment for decision support system. Cited: 20.10.2008. Available on the internet: http://nest.su.semest/
3. Beaumont, N.J., Austen, M.C., Atkins, J.P., Burdon, D., Degraer, S., Dentinho, T.P., Derous, S., Holm, P., Horton, T., van lerland, E., Marboe, A.H., Starkey, D.J., Townsend, M. & Zarzycki, T. 2007. Identification, definition and quantification of goods and services provided by marine biodiversity: Implications for the ecosystem approach. Marine Pollution Bulletin 54: 253-265.
4. Brady, M. 2003. The Relative Cost-efficiency of Arable Nitrogen Management in Sweden. Ecological Economics 47: 53-70.
5. Byström, O. 2000. The Replacement Value of Wetlands in Sweden. Environmental and Resource Economics 16: 347-362.
6. Egan, K.J., Herriges, J.A., Kling, C.L. & Downing, J.A. 2009. Valuing Water Quality as a Function of Water Quality Measures. American Journal of Agricultural Economics 91:106-123.
7. Elofsson, K. 2003. Cost-effective reductions of stochastic agricultural loads to the Baltic Sea. Ecological Economics 47:13-31.
8. Finnish Government. 2006. Water Protection Targets 2015. (in Finnish). Available on the internet: http://www.ympar-isto.fi/download.asp?contentid= 59919&lan=fi
9. Fishman, G.S. 1995. Monte Carlo: Concepts, Algorithms, and Applications. Springer, NY. 698 p.
10. Government of the Russian Federation. 2007. Russia's Rural Development Program. Agricultural Development and Regulation of Agricultural Produce, Raw Materials and Foods for 2008-2012. Decision no. 446, July 14, 2007. (Available by request from the Ministry of Agriculture and Forestry of Finland)
11. Gren, l.-M. 2001. International Versus National Actions Against Nitrogen Pollution of the Baltic Sea. Environmental and Resource Economics 20: 41-59.
12. Gren, l-M. 2008. Adaptation and mitigation strategies for controlling stochastic water pollution: An application to the Baltic Sea. Ecological Economics 66: 337-347.
13. Gren, l.-M., Destouni, G. & Scharin, H. 2000. Cost effective management of stochastic coastal water pollution. Environmental Modeling and Assessment 5:193-203.
14. Gren, l-M., Lindahl, O. & Lindqvist, M. 2009. Values of mussel farming for combating eutrophication: An application to the Baltic Sea. Ecological Engineering 35: 935-945.
15. Hanley, N. 2001. Cost-benefit analysis and environmental policymaking. Environment and Planning C: Government and Policy 19:103-118.
16. Hart, R. & Brady, M. 2002. Nitrogen in the Baltic Sea - Policy Implications of Stock Effects. Journal of Environmental Management 66: 91-103.
17. Helcom 2005. Nutrient pollution to the Baltic Sea in 2000. Baltic Sea environment proceedings 100. Available on the internet: http://www.helcom.fi/ publications/bsep/en-GB/bseplist/
18. Helcom 2007. Baltic Sea Action Plan. 101 p. Available on the internet: http://www.helcom.fi/stc/files/BSAP/BSAP-Final.pdf
19. Helin, J. 2009. KotielSintalouden ravinnekierron ympäristö taloudellinen optimointi: Aluemalli maidon- ja viljantuotantoon erikoistuneille tiloille. Maa-ja elintarviket- alous. In press, (in Finnish).
20. Helin, J., Laukkanen, M. & Koikkalainen, K. 2006. Abatement costs for agricultural nitrogen and phosphorus loads: a case study of crop farming in south-western Finland. Agricultural and Food Science 15: 351-374.
21. Kadin, M. 2009. Trends and scenarios exemplifying the future of the Baltic Sea and Skagerrak. The Swedish Environmental Protection Agency. In press.
22. Kahneman, D., Knetsch, J. L. & Thaler, R. H. 1991. The Endowment Effect, Loss Aversion and Status Quo Bias. Journal of Economic Perspectives 5:193-206.
23. Lappalainen, A. 2002. The Effects of Recent Eutrophication on Freshwater Fish Communities and Fishery on the Northern Coast of the Gulf of Finland, Baltic Sea. Academic Dissertation. University of Helsinki, Department of Limnology and Environmental Protection and Finnish Game and Fisheries Research Institute.
24. Laukkanen, M. & Huhtala, A. 2008. Optimal management of a eutrophied coastal ecosystem: balancing agricultural and municipal abatement measures. Environmental and Resource Economics 39:139-159.
25. Markowska, A. & Zylicz, T. 1999. Costing an international public good: the case of the Baltic Sea. Ecological Economics 30: 301-316.
26. Michael, H. J., Boyle, K. J. & Bouchard, R. 2000. Does the Measurement of Environmental Quality Affect Implicit Prices Estimated from Hedonic Models? Land Economics 76: 283-298.
27. MMM. 2008. Maa-ja metsätalousministeriö: Pitkän aikavälin skenaariot - maatalous, metsatalous ja maankäyt- tö. Muistio 20.2.2008. (in Finnish). 28 p. Available on the internet: http://www.mmm.fi/attachments/ymparisto/5xVI1MhbH/MMM-35768-v1-MMM-pitkan- aikavalin-skenaariot---maatalous-metsatalousJa-maankaytto-2.pdf
28. Ollikainen, M. & Honkatukia, J. 2001. Towards Efficient Pollution Control in the Baltic Sea: An Anatomy of Current Failure with Suggestions for Change. Ambio 30: 245-253.
29. Pitkanen, H., Kiirikki, M., Savchuk, O.P., RSike, A., Korpin- en, P. & Wulff, F. 2007. Searching efficient protection strategies for the eutrophied Gulf of Finland: the combined use of 1D and 3D modeling in assessing long- term state scenarios with high spatial resolution. Ambio 36: 272-279.
30. Rekolainen, S. & Posch, M. 1993. Adapting the CREAMS model for Finnish conditions. Nordic-Hydrology 24: 309-322.
31. Savchuk, O.P. 2005. Resolving the Baltic Sea into seven subbasins: N and P budgets for 1991-1999. Journal of Marine Systems 56:1-15.
32. Savchuk, O.P. & Wulff, F. 2007. Modeling the Baltic Sea Eutrophication in a Decision Support System. Ambio 36:141-148.
33. Savchuk, O.P. & Wulff, F. 2009. Long-term modeling of large-scale nutrient cycles in the entire Baltic Sea. Hydrobiologia (published online 23 April 2009).
34. Simmelsgaard, S. & Djurhuus, J. 1998. An empirical model for estimating nitrate leaching as affected by crop type and the long-term fertilizer rate. Soil Use and Management 14: 37-43.
35. Soutukorva, A. 2005. The value of improved water quality - A random utility model of recreation in the Stockholm archipelago. Beijer International Institute of Ecological Economics. The Royal Swedish Academy of Sciences, Stockholm. Available on the internet: http://www.beijer.kva.se/PDF/49545339- artdisc135.pdf
36. Statistics Estonia. 2008. Agricultural Statistics. Cited: 8.6.2009. Available on the internet: http://pub.stat.ee/px-web.2001/l-Databas/Economy/ 01AGRICULTURE/01AGRICUL.TURE.asp
37. Stern, N. 2007. The Economics of Climate Change: The Stern review. Cambridge University Press.
38. Toivonen, A.-L., Roth, E., Navrud, S., Gudbergsson, G., Appelblad, H., Bengtsson, B. & Tuunainen, P. 2004. The Economic Value of Recreational Fisheries in Nordic Countries. Fisheries Management and Ecology 11: 1-14.
39. Turner, R.K. 2007. Limits to CBA in UK and European environmental policy: retrospects and future prospects. Environmental and Resource Economics 37: 253-269.
40. Turner, R.K., Georgiou, S., Gren, I., Wulff, F., Barrett, S., S6derqvist, T, Bateman, I.J., Folke, C, Langaas, S., Zylicz, T, MSIer, K-G. & Markowska, A. 1999. Managing nutrient fluxes and pollution in the Baltic: an interdisciplinary simulation study. Ecological Economics 30: 333-352.
41. Turtola, E. & Paajanen, A. 1995. Influence of improved subsurface drainage on phosphorus losses and nitrogen leaching from a heavy clay soil. Agricultural Water Management 28: 295-310.
42. Tversky, A. & Kahneman, D. 1991. Loss Aversion in Riskless Choice: A Reference-Dependent Model. Quarterly Journal of Economics 106:1039-1061.
43. Uusitalo, R. & Jansson, H. 2002. Dissolved reactive phosphorus in runoff assessed by soil extraction with an acetate buffer. Agricultural and Food Science in Finland 11:343-353.
44. Uusitalo, R., Turtola, E., Puustinen, M., Paasonen-KivekSs, M. & Uusi-Kamppa, J. 2003. Contribution of particulate phosphorus to runoff phosphorus bioavailability. Journal of Environmental Quality 32: 2007-2016.
45. Vesterinen, J., Pouta, E., Huhtala, A. & Neuvonen, M. 2009. Impacts of changes in water quality on recreation behavior and benefits in Finland. Under review.
46. Worm, B., Barbier, E., Beaumont, N., Duffy, E., Folke, C, Halpern, B., Jackson, J., Lotze, H., Micheli, F., Palumbi.S.R., Sala, E., Selkoe, K.A., Stachowicz, J.J. & Watson, R. 2006. Impacts of Biodiversity Loss on Ocean Ecosystem Services. Science 314: 787-790.
47. Wulff, F., Bonsdorff, E., Gren, l-M., Johansson, S. & Stigebrandt, A. 2001. Giving Advice on Cost Effective Measures for a Cleaner Baltic Sea: A Challenge for Science. Ambio 30: 254-259.
48. Yearbook of Farm Statistics. 1983. National Board of Agriculture. 286 p.
49. Yearbook of Farm Statistics. 1992/93. Information Centre of the Ministry of Agriculture and Forestry.
50. Yearbook of Farm Statistics. 2000. Information Centre of the Ministry of Agriculture and Forestry.
51. Yearbook of Farm Statistics. 2007. Information Centre of the Ministry of Agriculture and Forestry.