Modeling greenhouse gas emissions from livestock farming in Poland with the use of stepwise multiple regression

A. Kolasa-Więcek

1/2013 vol. 58

Stats

CC-BY 4.0

Get citation

ORIGINAL PAPER

Modeling greenhouse gas emissions from livestock farming in Poland with the use of stepwise multiple regression

A. Kolasa-Więcek ¹

More details

Hide details

Opole University of Technology, Department of Economics and Regional Research, Faculty of Economy and Management Waryńskiego 4, 45-047 Opole

Journal of Research and Applications in Agricultural Engineering 2013;58(1):78-85

Article (PDF)

References (27)

KEYWORDS

Multiple Regression

backward stepwise regression

REFERENCES (27)

Amon B., Amon T., Boxberger J., Alt Ch.: Emissions of NH3, N2O and CH4 from dairy cows housed in a farm yard manure tying stall (housing, manure storage, manure spreading). Nutrient Cycling in Agroecosystems, 2001, 60, 103–113.

Google Scholar

Asman W.A.H., Klimont Z., Winiwarter W.: A simplified model of nitrogen flows from manure management. Interim Report IR-11-030, IIASA, Laxenburg, 2011.

Google Scholar

Bebkiewicz K., Cieślińska J., Dębski B., Jędrysiak P., Kanafa M., Kargulewicz I., Olecka A., Olendrzyński K., Rutkowski J., Sędziwa M., Skośkiewicz J., Sowińska K., Żaczek M.: National Inventory Report 2012, Stocktaking of greenhouse gases for the years 1988-2010, KOBiZE, Warszawa, 2012 [in polish].

Google Scholar

van Eekert M.H.A., van Dooren H.J., Lexmond M., Zeeman G.: Wastewater and Manure, in: Methane and Climate Change. Ed. by: Dave Reay, Pete Smith, André van Amstel, Earthscan, 2010.

Google Scholar

Food and Agricultural Organization: http://faostat.fao.org/site/56..., [Accessed: 25.11.2012].

Google Scholar

Gibbons J. M., Ramsden S. J., Blake A.: Modelling uncertainty in greenhouse gas emissions from UK agriculture at the farm level. Agriculture, Ecosystems and Environment, 2007, 112, 3, 240-251.

Google Scholar

Giltrap D. L., Li Ch., Saggar S.: DNDC: A process-based model of greenhouse gas fluxes from agricultural soils. Agriculture, Ecosystems and Environment, 2010, 136, 292–300.

Google Scholar

Greenhouse Gas Mitigation Potential in U.S. Forestry and Agriculture, United States Environmental Protection Agency Office of Atmospheric Programs, Washington, 2005.

Google Scholar

IPCC: Climate change 2007: impacts, adaptation and vulnerability. In: Parry, M., Canziani, O., Palutikof, J., Van der Linden, P., Hanson, C. (Eds.), Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, UK and New York, NY, USA, 2007.

Google Scholar

10.

Jugowar J.L.: Methods for the analysis of the emission and spread of harmful gases from livestock buildings for the example of ammonia, Dissertations habilitation No. 5, Agricultural Engineering, Warszawa, 2001, [in polish].

Google Scholar

11.

Jun P., Gibbs M., Gaffney K.: Good Practice Guidance and Uncertainty Management in National Greenhouse Gas Inventories, CH4 and N2O Emissions from Livestock Manure, 2002, 321-338.

Google Scholar

12.

Miatkowski Z., Turbiak J., Burczyk P., Myczko A., Karłowski J.: Forecasts of change of activity in the agricultural sector, including information necessary to calculate an estimate of magnitude of the greenhouse gases emissions. Institute of Technology and Life Sciences in Falenty, 2010, [in polish].

Google Scholar

13.

Myczko A., Karłowski J., Szulc R.: Detailed Investigations of Methane and Dinitrogen Oxide Emissions from Enteric Fermantation and from Animal Excreta, in: Elimination of Agricultural risks to health and Environmental. Ed. by A. Myczko, Scienfic Network Agrorisks, IBMER Poznań, 2003, 9-126.

Google Scholar

14.

Niżewski P., Dach J., Boniecki P.: Artificial neural networks for model ling ammonia emission from field applied slurry manure, Agricultural Engineering, 2007, 2, 90, 235-242, [in polish].

Google Scholar

15.

OECD: Environmental Indicators for Agriculture, Methods and Results, Agriculture and Food, Volume 3, OECD 2001.

Google Scholar

16.

Pietrzak S., Sapek A., Oenema O.: Assessment of the emission of nitrous oxide (N2O) emissions from agricultural sources in Poland. Falenty, IMUZ. Educational Papers, 2002, 8, 23–36, [in polish].

Google Scholar

17.

Rosegrant M. W., Ewing M., Yohe G., Burton I., Huq S., Valmonte-Santos R.: Climate Change and Agriculture, Threats and Opportunities, Deutsche Gesellschaft für Technische Zusammenarbeit (GTZ) GmbH Climate Protection Programme for Developing Countries, Eschborn, 2008.

Google Scholar

18.

Roszkowski A.: Livestock production technologies and greenhouse gas emissions. Problems of Agricultural Engineering, 2011, 2, 83-97, [in polish].

Google Scholar

19.

Salomon E., Rodhe L.: Losses of N2O, CH4 and NH3 from a grass sward used for overwintering beef heifers. Animal Feed Science and Technology, 2011, 166– 167, 147– 154.

Google Scholar

20.

Sidiropoulos Ch., Tsilingiridis G.: Trends of Livestockrelated NH3, CH4, N2O and PM Emissions in Greece. Water, Air and Soil Pollutio, 2009, 199:277–289.

Google Scholar

21.

Steinfeld H., Gerber P., Wassenaar T., Castel V., Rosales M., de Haan C.: Livestock’s long shadow - Environmental issues and options. Food and Agriculture Organization of the United Nations, Rome, 2006.

Google Scholar

22.

Stanisz A.: Approachable course statistics using STATISTICA PL on the examples of medicine. Volume 2 Linear and non-linear models, StatSoft Polska, Kraków, 2007, [in polish].

Google Scholar

23.

US EPA: Global Mitigation of Non-CO2 Greenhouse Gas, United States Enironmental Protection Agency, Washington DC, 2006.

Google Scholar

24.

United Nations Framework Convention on Climate Change: http://unfccc.int/di/DetailedB..., [Accessed: 25.11.2012].

Google Scholar

25.

Land use, crop area and livestock in 2011. Statistical information and studies, Central Statistical Office, Warszawa, 2011, [in polish].

Google Scholar

26.

Verburg R., Woltjer G., Tabeau A., Eickhout B., Stehfest E.: Agricultural trade liberalisation and greenhouse gas emissions, A simulation study using the GTAP-IMAGE modeling Framework, The Hague, LEI, Report 3.08.02; 2008.

Google Scholar

27.

Yamaji K., Ohara T., Akimoto H.: Regional-specific emission inventory for NH3, N2O, and CH4 via animal farming in South, Southeast, and East Asia, Atmospheric Environment, 2004, 38, 7111–7121.

Google Scholar

Submit your paper

Instructions for Authors

eISSN:	2719-423X
ISSN:	1642-686X