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Quaestiones Geographicae

The Journal of Adam Mickiewicz University

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Two Strategies Of Agent-Based Modelling Application For Management Of Lakeland Landscapes At A Regional Scale

Katarzyna Giełda-Pinas
  • Institute of Geoecology and Geoinformation, Adam Mickiewicz University in Poznań, Poland
/ Piotr Dzieszko
  • Institute of Geoecology and Geoinformation, Adam Mickiewicz University in Poznań, Poland
/ Zbigniew Zwoliński
  • Corresponding author
  • Institute of Geoecology and Geoinformation, Adam Mickiewicz University in Poznań, Poland
  • Email:
/ Arika Ligmann-Zielińska
  • Department of Geography, Michigan State University, USA
Published Online: 2015-12-30 | DOI: https://doi.org/10.1515/quageo-2015-0031

Abstract

This work presents two different strategies of ABM for management of selected lakeland landscapes and their impact on sustainable development. Two different lakeland research areas as well as two different sets of agents and their decision rules were compared. In Strategy 1 decisions made by farmers and their influence on the land use/cover pattern as well as the indirect consequence of phosphorus and nitrogen delivery to the water bodies were investigated. In this strategy, a group of farmer agents is encouraged to participate in an agri-environmental program. The Strategy 2 combines the decisions of farmers, foresters and local authorities. The agents in the model share a common goal to produce a spatial plan. The land use/cover patterns arising from different attitudes and decision rules of the involved actors were investigated. As the basic spatial unit, the first strategy employed a landscape unit, i.e. lake catchment whereas the second strategy used an administrative unit, i.e. commune. Both strategies resulted in different land use/cover patterns and changes, which were evaluated in terms of sustainability policy. The main conclusion for Strategy 1 is that during 5 years of farmer’s participation in the agri-environmental program, there was significant decrease of nutrient leaching to the lake. The main conclusion for Strategy 2 should be stated that cooperating of the agents is better for the natural environment than the competitions between them. In both strategies, agents’ decisions influence the environment but different spatial units of analysis express this environment.

Keywords: agent-based modelling (ABM); land use/cover change (LUCC); geographical information systems (GIS); decision-making modelling; lakeland landscapes; Poland

References

  • Bajkiewicz-Grabowska E., 2008. Lake geoecosystem as an indicator of the rate of natural eutrophication of water reservoirs. Limnological Review 8(1–2): 9–12.

  • Berger T., 2001. Agent-based spatial models applied to agriculture: a simulation tool for technology diffusion, resource use changes and policy analysis. Agricultural Economics 25(2–3): 245–260. [Crossref]

  • Bremigan M.T., Soranno P.A., Gonzalez M.J., Bunnell D.B., Arend, K.K., Renwick, W.H., Stein, R.A., Vanni, M.J., 2008. Hydrogeomorphic features mediate the effects of land use/cover on reservoir productivity and food webs. Limnology and Oceanography 53(4): 1420–1433. [Crossref] [Web of Science]

  • Brown D.G., 2006. Agent-Based Models. In: H. Geist (ed.), The Earths Changing Land: An Encyclopedia of Land-Use and Land-Cover Change. Greenwood Publishing Group, Westport: 7–13.

  • Cheruvelil K.S., Soranno P.A., Bremigan M.T., Wagner T., Martin S.L., 2008. Grouping lakes for water quality assessment and monitoring: The roles of regionalization and spatial scale. Environmental Management 41(3): 425–440. [Crossref] [Web of Science]

  • Conte R., Hegselmann R., Terna P., 1997. Simulating social phenomena Springer-Verlag, Berlin.

  • Couclelis H., 1987. Of mice and men: what rodent populations can teach us about complex spatial dynamics. Environment and Planning A 20: 99–109. [Crossref]

  • Dzieszko P., 2014. Land-cover modelling using CORINE Land Cover data and multi-layer perceptron. Quaestiones Geographicae 33(1): 5–22. [Crossref]

  • Dzieszko P., Bartkowiak K., Giełda-Pinas K., 2013. Agenci w modelowaniu agentowym (ABM). Roczniki Geomatyki 4(61): 17–23.

  • Eastman J.R., 2012. Idrisi Selva Manual. Clark University, Worcester, pp. 324.

  • EEA [European Environment Agency], 2006. CORINE Land Cover. http://www.eea.europa.eu/; accessed 12 December 2014.

  • Epstein J.M., 2008. Why Model? Journal of Artificial Societies and Social Simulation Vol. 11, No. 4: 12.

  • Epstein J.M., Axtell, R., 1996. Growing artificial societies: Social science from the ground up. Brookings Institution Press, Washington DC.

  • Ferench B., Dawidek J., 2010. Spatial variation of basin supply as a factor of water quality in a shallow, flow-through lake. Limnological Review 10(3–4): 127–132.

  • Foley J.A., DeFries R., Anser G.P., Barford C., Bonann G., Carpenter S.R., Chapin F.S., Coe M.T., Daily G.C., Gibbs H.K. 2005. Global consequences of land use. Science 309(5734): 570–574. [Crossref]

  • Giełda-Pinas K. 2012. Waloryzacja przyrodnicza krajobrazu Pojezierza Gnieźnieńskiego. Problemy Ekologii Krajobrazu 33: 77–85.

  • Giełda-Pinas K., 2015. Symulacje zmian pokrycia terenu i użytkowania ziemi z wykorzystaniem modelowania agentowego. Roczniki Geomatyki XIII 1(61): 7–19.

  • Giełda-Pinas K., Ligmann-Zielińska A., Zwolinski Z., 2015 (in press). Spatio-temporal changes of land use and land cover simulated by agent-based modelling, Gniezno Lakeland District, Poland. Limnological Rewiev 15.

  • Goodchild M.F., 2005. GIS, Spatial Analysis, and Modelling Overview. In: D.J. Maguire, M. Batty, M.F. Goodchild (eds), GIS, Spatial Analysis and Modeling. ESRI Press, Redlands: 1–18.

  • GUS [Główny Urząd Statystyczny], 2015. Bank Danych Lokalnych. Online: http://stat.gov.pl/bdl/app/strona.html?p_name=indeks; accessed 15 May 2015.

  • Hillbricht-Ilkowska A., 2005. Ochrona jezior i krajobrazu pojeziernego – problemy, procesy, perspektywy, Funkcje regionalne i problemy badawcze krajobrazu pojeziernego. Kosmos – Problemy Nauk Biologicznych 54(2–3): 285–302.

  • IMGW [Instytut Meteorologii i Gospodarki Wodnej], 2007. Mapa Podziału Hydrograficznego Polski, 1:50 000. Zakład Hydrografii i Morfologii Koryt Rzecznych, Instytut Meteorologii i Gospodarki Wodnej, Ministerstwo Środowiska, Narodowy Fundusz Ochrony Środowiska i Gospodarki Wodnej, Warszawa.

  • Itami R.M., 1994. Simulating spatial dynamics: cellular automata theory. Landscape and Urban Planning 30: 27–47. [Crossref]

  • Janssen M.A., Jager W., 2000. The human actor in ecological economic models. Ecological Economics 35(30): 307–310.

  • Johnson L.B., Richards C., Host G.E., Arthur J.W., 1997. Landscape influences on water chemistry in Midwestern stream ecosystems. Freshwater Biology 37: 193–208. [Crossref]

  • Jones J.R., Knowlton M.F., Obrecht D.V, Cook E.A., 2004. Importance of landscape variables and morphology on nutrients in Missouri reservoirs. Canadian Journal of Fisheries and Aquatic Sciences 61: 1503–1512.

  • Keitt T.H., Urban D.L., Milne B.T., 1997. Detecting critical scales in fragmented landscapes. Conservation Ecology 1(1): 4.

  • Kostrzewski A., 2008. Present state and functioning of lake geoecosystems – methodological and methodical assumptions. Limnological Review 8(1–2): 5–8.

  • Langran G., 1992. Time in Geographic Information Systems. Taylor and Francis, London.

  • Ligmann-Zielinska A., 2009. The impact of risk-taking attitudes on a land use pattern: an agent-based model of residential development. Journal of Land Use Science 4(4): 215–232.

  • Ligtenberg A., Wachowicz M., Bregt A.K., Beulens A., Kettenis D.L., 2004. A design and application of a multi-agent system for simulation of multi-actor spatial planning. Journal of Environmental Management 72(1): 43–55. [Crossref]

  • Matthews R. B., Gilbert N.G., Roach A., Polhill J.G., Gotts N.M., 2007. Agent-based land-use models: a review of applications. Landscape Ecology 22(10): 1447–1459. [Crossref] [Web of Science]

  • Monticino M., Acevedo M., Callicott B., Cogdill T., Lindquist C. 2007. Coupled human and natural systems: A multi-agent-based approach. Environmental Modelling & Software 22(5), 656–663.

  • Myers D., 2001. Introduction to the Symposium: Putting the Future in Planning. Journal of the American Planning Association 67: 365–367. [Crossref]

  • Parker D.C., Manson S.M., Janssen M.A., Hoffman M.J., Deadman P., 2003. Multi-Agent Systems for the Simulation of Land-Cover Change: A Review. Annals of the Association of American Geographers 93(2): 314–337. [Crossref]

  • Peuquet D.J., 2005. Time in GIS and Geographical Databases. In: P.A. Longley, M.F. Goodchild, D.J.Maguire, D.W. Rhind (eds), Geographical Information Systems: Principles, Techniques, Management and Applications. Wiley, Hoboken, 91–103.

  • Ptak M., Ławniczak A.E., 2011. Changes in land use in the buffer zone of lake of the Mała Wełna catchment. Limnological Review 12(1): 35–44.

  • Slager K., Ligtenberg A., de Vries B., de Waard R., 2007. Simlandscape: serious gaming in participatory spatial planning. 10th AGILE International Conference on Geographic Information Science, Aalborg University, Denmark.

  • Soranno P.A., Cheruvelil K.S., Webster K.E., Bremigan M.T., Wagner T., Stow C., 2010. Using landscape limnology to classify freshwater ecosystems for multi-ecosystem management and conservation. BioScience 60(6): 440–454. [Web of Science] [Crossref]

  • Soranno P.A., Hubler S.L., Carpenter S.R., Lathrop R.C., 1996. Phosphorus loads to surface waters: a simple model to account for spatial pattern of land use. Ecological Applications 6(3): 865–878. [Crossref]

  • Soranno, P.A., Webster K.E., Cheruvelil K.S., Bremigan M.T, 2009. The lake landscape-context framework: linking aquatic connections, terrestrial features and human effects at multiple spatial scales. Verhandlungen des Internationalen Verein Limnologie 30(5): 695–700.

  • Strayer D.L., Beighley R.E., Thompson L.C., Brooks S., Nilsson C., Pinay G., Naiman R.J., 2003. Effects of land cover on stream ecosystems: Roles of empirical models and scaling issues. Ecosystems 6: 407–423. [Crossref]

  • Szpikowski J., 2003. The mechanism of overland flow and wash on slopes in agricultural use on the upper Parsęta catchment. In: A. Kostrzewski, J. Szpikowski (eds) Funkcjonowanie geoekosystemów zlewni rzecznych 3. Obieg wody, uwarunkowania i skutki w środowisku przyrodniczym. Bogucki Wyd. Nauk., Poznań: 261–277.

  • Valbuena D., Verburg P.H., Bregt A.K., Ligtenberg A. 2010. An agent-based approach to model land-use change at a regional scale. Landscape Ecology 25(2): 185–199. [Crossref] [Web of Science]

  • Waard R.S., 2005. Simlandscape: een ontwerp en onderzoek ondersteunend systeem voor planning, gebaseerd op de scenariomethode en kadastraal GIS. PhD-thesis, Technical University Eindhoven.

  • Walsh S.E., Soranno, P.A., Rutledge, D.T., 2003. Lakes, Wetlands, and Streams as Predictors of Land Use/Cover Distribution. Environmental Management 31(2): 198–214. [Crossref]

  • Weiss G., 1999. Multi-agent systems: A modern approach to distributed artificial intelligenc. MA: MIT Press, Cambridge.

  • Zwoliński Zb., 1998. Geoindykatory w badaniach współczesnej dynamiki geosystemów. In: K. Pękala (ed.), Główne kierunki badań geomorfologicznych w Polsce. Stan aktualny i perspektyw. Lublin: 223–227.

About the article

Received: 2015-06-30

Revised: 2015-08-15

Published Online: 2015-12-30

Published in Print: 2015-09-01



Citation Information: Quaestiones Geographicae, ISSN (Online) 2081-6383, DOI: https://doi.org/10.1515/quageo-2015-0031. Export Citation

© 2015 Faculty of Geographical and Geological Sciences, Adam Mickiewicz University. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License. (CC BY-NC-ND 3.0)

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