IDEAS home Printed from https://ideas.repec.org/a/sae/envirb/v36y2009i2p300-318.html
   My bibliography  Save this article

A Dynamic Graph Automata Approach to Modeling Landscape Change in the Andes and the Amazon

Author

Listed:
  • Sahotra Sarkar

    (Biodiversity and Biocultural Conservation Laboratory, Section of Integrative Biology, University of Texas at Austin, Austin, TX 78712, USA)

  • Kelley A Crews-Meyer
  • Kenneth R Young
  • Christopher D Kelley
  • Alexander Moffett

Abstract

A generalization of cellular automata was developed that allows flexible, dynamic updating of variable neighborhood relationships, which in turn allows the integration of interactions at widely disparate spatial and temporal scales. Cells in the landscapes were modeled as vertices of dynamic graph automata that allow temporally variable causal connectivity between spatially nonadjacent cells. A trial was carried out to represent changes in an Amazonian and a tropical Andean landscape modeled as dynamic graph automata with input from a Landsat TM-derived Level 1 classification with the following classes: for the Amazon—forest, nonforest vegetation, water, and urban or bare (soil); for the Andes—forest, scrub (shrub or grassland), agriculture, and bare or exposed ground. Explicit automata transition rules were used to simulate temporal land-cover change. These rules were derived independently from fieldwork in each area, including vegetation plots or transects and informal interviews. Such a generalization of cellular automata was useful for modeling land-use–land-cover change (LULCC), although it potentially increases the computational complexity of an already data intensive process (involving 5–8 million cells, in 1000 stochastic simulations, with each simulation encompassing 15 annual time steps). The interannual predicted LULCC, while more nuanced in the Andean site, poses a serious threat to compositional and configurational stability in both the Andes and the Amazon, with implications for landscape heterogeneity and habitat fragmentation.

Suggested Citation

  • Sahotra Sarkar & Kelley A Crews-Meyer & Kenneth R Young & Christopher D Kelley & Alexander Moffett, 2009. "A Dynamic Graph Automata Approach to Modeling Landscape Change in the Andes and the Amazon," Environment and Planning B, , vol. 36(2), pages 300-318, April.
  • Handle: RePEc:sae:envirb:v:36:y:2009:i:2:p:300-318
    DOI: 10.1068/b33146
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1068/b33146
    Download Restriction: no

    File URL: https://libkey.io/10.1068/b33146?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Joshua M. Epstein & Robert L. Axtell, 1996. "Growing Artificial Societies: Social Science from the Bottom Up," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262550253, April.
    2. Vermaat, Jan E. & Eppink, Florian & van den Bergh, Jeroen C.J.M. & Barendregt, Aat & van Belle, Jasper, 2005. "Aggregation and the matching of scales in spatial economics and landscape ecology: empirical evidence and prospects for integration," Ecological Economics, Elsevier, vol. 52(2), pages 229-237, January.
    3. Walker, Robert & Moran, Emilio & Anselin, Luc, 2000. "Deforestation and Cattle Ranching in the Brazilian Amazon: External Capital and Household Processes," World Development, Elsevier, vol. 28(4), pages 683-699, April.
    4. Daniel G. Brown & Rick Riolo & Derek T. Robinson & Michael North & William Rand, 2005. "Spatial process and data models: Toward integration of agent-based models and GIS," Journal of Geographical Systems, Springer, vol. 7(1), pages 25-47, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kelley A. Crews & Kenneth R. Young, 2013. "Forefronting the Socio-Ecological in Savanna Landscapes through Their Spatial and Temporal Contingencies," Land, MDPI, vol. 2(3), pages 1-20, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mohammad Vahidnia & Ali Alesheikh & Seyed Alavipanah, 2015. "A multi-agent architecture for geosimulation of moving agents," Journal of Geographical Systems, Springer, vol. 17(4), pages 353-390, October.
    2. Tang, Wenwu & Bennett, David A., 2011. "Parallel agent-based modeling of spatial opinion diffusion accelerated using graphics processing units," Ecological Modelling, Elsevier, vol. 222(19), pages 3605-3615.
    3. Tang, Wenwu & Bennett, David A., 2012. "Reprint of: Parallel agent-based modeling of spatial opinion diffusion accelerated using graphics processing units," Ecological Modelling, Elsevier, vol. 229(C), pages 108-118.
    4. Rand, William & Rust, Roland T., 2011. "Agent-based modeling in marketing: Guidelines for rigor," International Journal of Research in Marketing, Elsevier, vol. 28(3), pages 181-193.
    5. Araujo, Claudio & Bonjean, Catherine Araujo & Combes, Jean-Louis & Combes Motel, Pascale & Reis, Eustaquio J., 2009. "Property rights and deforestation in the Brazilian Amazon," Ecological Economics, Elsevier, vol. 68(8-9), pages 2461-2468, June.
    6. Luís de Sousa & Alberto Rodrigues da Silva, 2015. "Showcasing a Domain Specific Language for Spatial Simulation Scenarios with case studies," ERSA conference papers ersa15p1044, European Regional Science Association.
    7. Eugenio Caverzasi & Antoine Godin, 2013. "Stock-flow Consistent Modeling through the Ages," Economics Working Paper Archive wp_745, Levy Economics Institute.
    8. Luca Riccetti & Alberto Russo & Mauro Gallegati, 2015. "An agent based decentralized matching macroeconomic model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 10(2), pages 305-332, October.
    9. Michael J. Radzicki, 2003. "Mr. Hamilton, Mr. Forrester, and a Foundation for Evolutionary Economics," Journal of Economic Issues, Taylor & Francis Journals, vol. 37(1), pages 133-173, March.
    10. Kazuya Yamamoto, 2015. "Mobilization, Flexibility of Identity, and Ethnic Cleavage," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 18(2), pages 1-8.
    11. Dirk Helbing & Thomas U. Grund, 2013. "Editorial: Agent-Based Modeling And Techno-Social Systems," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 16(04n05), pages 1-3.
    12. Ross Richardson & Matteo G. Richiardi & Michael Wolfson, 2015. "We ran one billion agents. Scaling in simulation models," LABORatorio R. Revelli Working Papers Series 142, LABORatorio R. Revelli, Centre for Employment Studies.
    13. Marco A. Janssen & Lilian N. Alessa & C. Michael Barton & Sean Bergin & Allen Lee, 2008. "Towards a Community Framework for Agent-Based Modelling," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 11(2), pages 1-6.
    14. Roberto Veneziani & Luca Zamparelli & Michalis Nikiforos & Gennaro Zezza, 2017. "Stock-Flow Consistent Macroeconomic Models: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 31(5), pages 1204-1239, December.
    15. Cincotti, Silvano & Raberto, Marco & Teglio, Andrea, 2010. "Credit money and macroeconomic instability in the agent-based model and simulator Eurace," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 4, pages 1-32.
    16. Khalil, Elias L., 2010. "The Bayesian fallacy: Distinguishing internal motivations and religious beliefs from other beliefs," Journal of Economic Behavior & Organization, Elsevier, vol. 75(2), pages 268-280, August.
    17. Jakub Bijak & Jason D. Hilton & Eric Silverman & Viet Dung Cao, 2013. "Reforging the Wedding Ring," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 29(27), pages 729-766.
    18. Juan Manuel Larrosa, 2016. "Agentes computacionales y análisis económico," Revista de Economía Institucional, Universidad Externado de Colombia - Facultad de Economía, vol. 18(34), pages 87-113, January-J.
    19. Joshua M. Epstein, 2007. "Agent-Based Computational Models and Generative Social Science," Introductory Chapters, in: Generative Social Science Studies in Agent-Based Computational Modeling, Princeton University Press.
    20. Rich, Karl M. & Ross, R. Brent & Baker, A. Derek & Negassa, Asfaw, 2011. "Quantifying value chain analysis in the context of livestock systems in developing countries," Food Policy, Elsevier, vol. 36(2), pages 214-222, April.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:envirb:v:36:y:2009:i:2:p:300-318. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.