Abel, T., & Stepp, J. R. (2003). A new ecosystems ecology for anthropology. Conservation Ecology,
7(3), 12.
Google Scholar
Acevedo, M. F., Callicott, J. B., Monticino, M., Lyons, D., Palomino, J., Rosales, J., et al. (2008). Models of natural and human dynamics in forest landscapes: Cross-site and cross-cultural synthesis. Geoforum,
39(2), 846–866.
Article
Google Scholar
Acosta-Michlik, L., & Espaldon, V. (2008). Assessing vulnerability of selected farming communities in the Philippines based on a behavioural model of agent’s adaptation to global environmental change. Global Environmental Change-Human and Policy Dimensions,
18(4), 554–563.
Google Scholar
An, G. (2001). Agent-based computer simulation and SIRS: Building a bridge between basic science and clinical trials. Shock,
16(4), 266–273.
Article
Google Scholar
An, L., Linderman, M., Qi, J., Shortridge, A., & Liu, J. (2005). Exploring complexity in a human-environment system: An agent-based spatial model for multidisciplinary and multiscale integration. Annals of the Association of American Geographers,
95(1), 54–79.
Article
Google Scholar
Anderson, P. W., Arrow, K. J., & Pines, D. (Eds.). (1988). The economy as an evolving complex system. Boulder, CO: Westview Press.
Google Scholar
Arthur, W. B. (1999). Complexity and the economy. Science,
284(5411), 107–109.
Article
Google Scholar
Auchincloss, A. H., & Diez Roux, A. V. (2008). A new tool for epidemiology: The usefulness of dynamic-agent models in understanding place effects on health. American Journal of Epidemiology,
168(1), 1–8.
Article
Google Scholar
Axelrod, R. (1997). The complexity of cooperation: Agent-based models of competition and collaboration. Princeton, NJ: Princeton University Press.
Google Scholar
Batty, M., & Torrens, P. M. (2005). Modelling and prediction in a complex world. Futures,
37(7), 745–766.
Article
Google Scholar
Beinhocker, E. D. (2006). The origin of wealth: Evolution, complexity, and the radical remaking of economics. Boston, MA: Harvard Business School Press.
Google Scholar
Blackman, T. (2000). Complexity theory. In G. Browning, A. Haleli, & A. Webster (Eds.), Understanding complexity society: Theories of the present. London: Sage Publications.
Google Scholar
Bolte, J. P., Hulse, D. W., Gregory, S. V., & Smith, C. (2007). Modeling biocomplexity—Actors, landscapes and alternative futures. Environmental Modelling & Software,
22(5), 570–579.
Article
Google Scholar
Brown, D. G., Robinson, D. T., An, L., Nassauer, J. I., Zellner, M., Rand, W., et al. (2008). Exurbia from the bottom-up: Confronting empirical challenges to characterizing a complex system. Geoforum,
39(2), 805–818.
Article
Google Scholar
Collier, N. (2003). Repast: An extensible framework for agent simulation. Chicago, IL: The University of Chicago, Social Science Research Computing.
Google Scholar
Davis, K. (1990). Population and resources: Fact and interpretation. Population and Development Review,
16, 1–21.
Article
Google Scholar
Deadman, P., Robinson, D., Moran, E., & Brondizio, E. (2004). Colonist household decision-making and land-use change in the Amazon rainforest: An agent-based simulation. Environment and Planning B-Planning & Design,
31(5), 693–709.
Article
Google Scholar
DeAngelis, D. L., & Mooij, W. M. (2005). Individual-based modeling of ecological and evolutionary processes. Annual Review of Ecology, Evolution, and Systematics,
36, 147–168.
Article
Google Scholar
Epstein, J. M., & Axtell, R. (1996). Growing artificial societies: Social science from the bottom up. Cambridge, MA: MIT Press.
Google Scholar
Erlien, C. M., Tuttle, J. P., McCleary, A. L., Mena, C. F., & Walsh, S. J. (2006). Complexity theory and spatial simulations of land use/land cover dynamics: The use of “what if” scenarios for education, land management, and decision-making. Geocarto International,
21(4), 67–74.
Article
Google Scholar
Evans, T. P., & Kelley, H. (2004). Multi-scale analysis of a household level agent-based model of landcover change. Journal of Environmental Management,
72(1–2), 57–72.
Article
Google Scholar
Evans, T. P., & Kelley, H. (2008). Assessing the transition from deforestation to forest regrowth with an agent-based model of land cover change for south-central Indiana (USA). Geoforum,
39(2), 819–832.
Article
Google Scholar
Farmer, J. D., Packard, N. H., & Perelson, A. S. (1986). The immune system, adaptation, and machine learning. Physica D,
2, 187–204.
Article
Google Scholar
Galvin, K., Thornton, P. K., Roque de Pinho, J., Sunderland, J., & Boone, R. B. (2006). Integrated modeling and its potential for resolving conflicts between conservation and people in the rangelands of East Africa. Human Ecology,
34(2), 155–181.
Article
Google Scholar
Gonzalez, J. A., Montes, C., Rodriguez, J., & Tapia, W. (2008). Rethinking the Galápagos Islands as a complex social-ecological system: Implications for conservation and management. Ecology and Society,
13(2), 13. Accessed April 2009. http://www.ecologyandsociety.org/vol13/iss2/art13/.
Grenier, C. (2007). Conservación contra natura: Las Islas Galápagos. Quito: Ediciones Abya-Yala.
Google Scholar
Grimm, V., Revilla, E., Berger, U., Jeltsch, F., Mooij, W. M., Railsback, S. F., et al. (2005). Pattern-oriented modeling of agent-based complex systems: Lessons from ecology. Science,
310(5750), 987–991.
Article
Google Scholar
Hamann, O. (1981). Plant communities of the Galápagos islands. Dansk Botanisk Arkiv,
34(2), 1–163.
Google Scholar
Hamilton, K., & Clemens, M. (1999). Genuine savings rates in developing countries. World Bank Economic Review,
13(2), 333–356.
Google Scholar
Hare, M., & Deadman, P. (2004). Further towards a taxonomy of agent-based simulation models in environmental management. Mathematics and Computers in Simulation,
64(1), 25–40.
Article
Google Scholar
Holland, J. H. (1996). Hidden order: How adaptation builds complexity. New York, NY: Perseus Books.
Google Scholar
Janssen, M. (1998). Use of complex adaptive systems for the modeling of global change. Ecosystems,
1(5), 57–63.
Article
Google Scholar
Jørgensen, S. E. (1986). Fundamentals of ecological modelling. Amsterdam: Elsevier.
Google Scholar
Kauffman, S. A. (1993). The origins of order: Self-organization and selection in evolution. New York, NY: Oxford University Press.
Google Scholar
Kerr, S., Cardenas, S., & Hendy, J. (2004). Migration and the environment in the Galápagos: An analysis of economic and policy incentives driving migration, potential impacts from migration control, and potential policies to reduce migration pressure (Working Paper). Wellington, New Zealand: Motu Economic and Public Policy Research.
Lambin, E. F., Geist, H. J., & Lepers, E. (2003). Dynamics of land-use and land-cover change in tropical regions. Annual Review of Environment and Resources,
28, 205–241.
Article
Google Scholar
Le, Q. B., Park, S. J., Vlek, P. L. G., & Cremers, A. B. (2008). Land-use dynamic simulator (LUDAS): A multi-agent system model for simulating spatio-temporal dynamics of coupled human-landscape system. Ecological Informatics,
3(2), 135–153.
Article
Google Scholar
Little, L. R., Kuikka, S., Punt, A. E., Pantus, F., Davies, C. R., & Mapstone, B. D. (2004). Information flow among fishing vessels modelled using a bayesian network. Environmental Modelling & Software,
19(1), 27–34.
Article
Google Scholar
Luna, M. A. (2008). Value of the basic and essential family baskets in Galápagos. In L. J. Cayot & M. V. Toral Granda (Eds.), Galápagos report 2007–2008. Puerto Ayora, Galápagos: CDF, GNP and INGALA.
Google Scholar
Lutz, W., Prskawetz, A., & Sanderson, W. C. (2002). Introduction. Population and Development Review,
28(Supplement), 1–20.
Google Scholar
Malanson, G. P., Zeng, Y., & Walsh, S. J. (2006). Complexity at advancing ecotones and frontiers. Environment and Planning A,
38(4), 619–632.
Article
Google Scholar
Manson, S. M. (2001). Simplifying complexity: A review of complexity theory. Geoforum,
32(3), 405–414.
Article
Google Scholar
Mather, A. S., Needle, C. L., & Fairbairn, J. (1998). The human drivers of global land cover change: The case of forests. Hydrological Processes,
12(13–14), 1983–1994.
Article
Google Scholar
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.
Article
Google Scholar
Mauchamp, A. (1997). Threats from alien plant species in the Galápagos Islands. Conservation Biology,
11(1), 260–263.
Article
Google Scholar
Messina, J. P., & Walsh, S. J. (2001). 2.5D morphogenesis: Modeling landuse and landcover dynamics in the Ecuadorian Amazon. Plant Ecology,
156(1), 75–88.
Article
Google Scholar
Millennium Ecosystem Assessment. (2005). Ecosystems and human well-being: Biodiversity synthesis. Washington, DC: World Resources Institute.
Google Scholar
Minar, N., Burkhart, R., Langton, C., & Askenazi, M. (1996). The SWARM simulation system: A toolkit for building multi-agent simulations. Working Paper, The Santa Fe Institute, rep. no. 96-06-042.
National Research Council. (2001). Grand challenges in the environmental sciences. Washington, DC: National Academies Press.
Google Scholar
O’Sullivan, D. (2008). Geographical information science: Agent-based models. Progress in Human Geography,
32(4), 541–550.
Article
Google Scholar
Ospina, P., & Falconí, C. (Eds.). (2007). Galápagos: Migraciones, economía, cultura, conflictos y acuerdos. Ecuador: Universidad Andina Simón Bolívar.
Google Scholar
Ospina-Peralta, P. E. (2004). Galápagos, naturaleza y sociedad, actores sociales y conflictos ambientales en las islas Galápagos, Ecuador. PhD, Antropología Social. D.F., Mexico, Universidad Iberoamericana. MS: 189.
Papert, S. (1972). Teaching children thinking. Innovations in Education and Teaching International,
9(5), 245–255.
Article
Google Scholar
Parker, D. C. (2007). Revealing “space” in spatial externalities: Edge-effect externalities and spatial incentives. Journal of Environmental Economics and Management,
54(1), 84–99.
Article
Google Scholar
Parker, D. C., Manson, S. M., Janssen, M. A., Hoffmann, M. J., & Deadman, P. (2003). Multi-agent systems for the simulation of land-use and land-cover change: A review. Annals of the Association of American Geographers,
93(2), 314–337.
Article
Google Scholar
Portugali, J. (2006). Complexity theory as a link between space and place. Environment and Planning A,
38, 647–664.
Article
Google Scholar
Railsback, S. F., Lytinen, S. L., & Jackson, S. K. (2006). Agent-based simulation platforms: Review and development recommendations. Simulation,
82(9), 609.
Article
Google Scholar
Ramanath, A. M., & Gilbert, N. (2004). The design of participatory agent-based social simulations. Journal of Artificial Societies and Social Simulation,
7(4). Accessed May 2009. http://jasss.soc.surrey.ac.uk/7/4/1.html.
Google Scholar
Rind, D. (1999). Complexity and climate. Science,
284(5411), 105–107.
Google Scholar
Rindfuss, R. R., Entwisle, B., Walsh, S. J., Mena, C. F., Erlien, C. M., & Gray, C. L. (2007). Frontier land use change: Synthesis, challenges, and next steps. Annals of the Association of American Geographers,
97(4), 739–754.
Article
Google Scholar
Roberts, C. A., Stallman, D., & Bieri, J. A. (2002). Modeling complex human–environment interactions: The Grand Canyon river trip simulator. Ecological Modelling,
153(1–2), 181–196.
Article
Google Scholar
Schelling, T. C. (1971). Dynamic models of segregation. Journal of Mathematical Sociology,
1, 143–186.
Google Scholar
Soares, B. S., Cerqueira, G. C., & Pennachin, C. L. (2002). DINAMICA—A stochastic cellular automata model designed to simulate the landscape dynamics in an amazonian colonization frontier. Ecological Modelling,
154(3), 217–235.
Article
Google Scholar
Solecki, W. D., & Oliveri, C. (2004). Downscaling climate change scenarios in an urban land use change model. Journal of Environmental Management,
72(1–2), 105–115.
Article
Google Scholar
Walsh, S. J., Entwisle, B., Rindfuss, R. R., & Page, P. H. (2006). Spatial simulation modelling of land use/land cover change scenarios in northeastern Thailand: A cellular automata approach. Journal of Land Use Science,
1(1), 5–28.
Article
Google Scholar
Walsh, S. J., McCleary, A. L., Mena, C. F., Shao, Y., Tuttle, J. P., Gonzalez, A., et al. (2008a). QuickBird and hyperion data analysis of an invasive plant species in the Galápagos Islands of Ecuador: Implications for control and land use management. Remote Sensing of Environment,
112(5), 1927–1941.
Article
Google Scholar
Walsh, S. J., & McGinnis, D. (2008). Biocomplexity in coupled human-natural systems: Study of population & environment interactions. Geoforum,
39(2), 773–775.
Article
Google Scholar
Walsh, S. J., Messina, J. P., Mena, C. F., Malanson, G. P., & Page, P. H. (2008b). Complexity theory, spatial simulation models and land use dynamics in the northern Ecuadorian Amazon. Geoforum,
39, 867–878.
Article
Google Scholar
Watkins, G., & Cruz, F. (2007). Galápagos at risk: A socioeconomic analysis of the situation in the archipelago. Puerto Ayora, Province of Galápagos: Charles Darwin Foundation.
Google Scholar
West, C. T. (2009). Domestic transitions, desiccation, agricultural intensification, and Livelihood diversification among rural households on the Central Plateau, Burkina Faso. American Anthropologist,
111(3), 275–288.
Article
Google Scholar
Windrum, P., Fagiolo, G., & Moneta, A. (2007). Empirical validation of agent-based models: Alternatives and prospects. Journal of Artificial Societies and Social Simulation,
10(2), 8.
Google Scholar