Complexity Theory and Spatial Simulations of Land Use/Land Cover Dynamics: The Use of “What if” Scenarios for Education, Land Management, and Decision‐Making

References

• Alftine , K. J. and Malanson , G. P. 2004 . Directional positive feedback and pattern at an alpine treeline . Journal of Vegetation Science , 15 ( 1 ) : 3 – 12 .
   Web of Science ®Google Scholar
• An , L. , Linderman , M. , Qi , J. , Shortridge , A. and 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 .
   Web of Science ®Google Scholar
• Anderson , P. H. and Lawton , L. 1997 . Demonstrating the learning effectiveness of simulations: Where we are and where we need to go . Developments in Business Simulation & Experiential Exercises , 24 : 68 – 73 .
   Google Scholar
• Assaraf , O. B.Z. and Orion , N. 2005 . Development of system thinking skills in the context of earth system education . Journal of Research in Science Teaching , 42 ( 5 ) : 518 – 560 .
   Web of Science ®Google Scholar
• Bak , P. and Chen , K. 1991 . Self‐organized criticality . Scientific American , 264 ( 1 ) : 46 – 53 .
   Web of Science ®Google Scholar
• Bednarz , S. W. , Bettis , N. C. , Boehm , R. G. , DeSouza , A. R. , Downs , R. M. , Marran , IF , Morrill , R. W. and Salter , C. L. 1994 . Geography for Life, National Standards in Geography , Washington, DC : National Council for Geographic Education and the National Geographic Society .
   Google Scholar
• Berry , B. J.L. , Kiel , L. D. and Elliott , E. 2002 . Adaptive agents, intelligence, and emergent human organization: capturing complexity through agent‐based modeling . Proceedings of the National Academy of Sciences , 99 ( 3 ) : 7187 – 7188 .
   PubMedGoogle Scholar
• Bonabeau , E. 2002 . Agent‐based modeling: Methods and techniques for simulating human systems . Proceedings of the National Academy of Sciences , 99 ( 3 ) : 7280 – 7287 .
   PubMed Web of Science ®Google Scholar
• Capra , F. 1996 . The web of life: a new scientific understanding of living systems , New York : Anchor Books .
   Google Scholar
• Claggett , P. R. , Jantz , C. A. , Goetz , S. J. and Bisland , C. 2004 . Assessing development pressure in the Chesapeake Bay watershed: an evaluation of two land‐use change models . Environmental Monitoring and Assessment , 94 ( 1-3 ) : 129 – 146 .
   PubMedGoogle Scholar
• Colwell , R. 1998 . Balancing the biocomplexity of the planet's living systems: a twenty‐first century task for science . BioScience , 48 : 786 – 787 .
   Google Scholar
• Davies , C. H.J. 2002 . Student engagement with simulations, a case study . Computers and Education , 39 : 271 – 282 .
   Web of Science ®Google Scholar
• Deadman , P. , Robinson , D. , Moran , E. and Brondizio , E. 2004 . Colonist household decisionmaking and land‐use change in the Amazon Rainforest: an agent‐based simulation . Environment and Planning , B31 ( 5 ) : 693 – 709 .
   Google Scholar
• Edelson , D. E. , Brown , M. , Gordin , D. N. and Griffin , D. A. 1999 . Making Visualization Accessible to Students . GSA Today , 9 ( 2 ) : 8 – 10 .
   Google Scholar
• Fernandez , L. E. , Brown , D. G. , Marans , R. W. and Nassauer , J. I. 2005 . Characterizing location preferences in an exurban population: implications for agent‐based modeling . Environment and Planning B , B 32 ( 6 ) : 799 – 820 .
   Google Scholar
• Gordin , D. N. and Pea , R. D. 1995 . Prospects for Scientific Visualization as an Educational Technology . The Journal of Learning Sciences , 4 ( 3 ) : 249 – 279 .
   Web of Science ®Google Scholar
• Gosen , J. and Washbush , J. 2004 . A review of scholarship on assessing experiential learning effectiveness . Simulation & Gaming , 35 ( 2 ) : 270 – 293 .
   Google Scholar
• Green , D. G. and Sadedin , S. 2005 . Interactions matter ‐ complexity in landscapes and ecosystems . Ecological Complexity , 2 ( 2 ) : 117 – 130 .
   Google Scholar
• Hoffmann , M. , Kelley , H. and Evans , T. P. 2002 . “ Simulating land‐cover change in Indiana: an agent‐based model of de/reforestation ” . In Complexity and Ecosystem Management: The theory and Practice of Multi‐agent Systems , Edited by: Janssen , M. 218 – 247 . Cheltenham : Edward Elgar .
   Google Scholar
• Khattak , A. J. and Shamalyeh , H. 2005 . Highway safety assessment through geographic information system‐based data visualization . Journal of Computing in Civil Engineering , 19 ( 4 ) : 407 – 411 .
   Web of Science ®Google Scholar
• Klopfer , E. 2003 . Technologies to support the creation of complex systems models – using StarLogo software with students . Biosystems , 71 : 111 – 122 .
   PubMed Web of Science ®Google Scholar
• Klopfer , E. and Begel , A. 2003 . StarLogo under the hood and in the classroom . Kybernetes , 32 ( 1/2 ) : 15 – 37 .
   Google Scholar
• Klopfer , E. , Colella , V. and Resnick , M. 2002 . New paths on a StarLogo adventure . Computers & Graphics , 26 : 615 – 622 .
   Google Scholar
• Lambin , E. F. , Geist , H. J. and Lepers , E. 2003 . Dynamics of land‐use and land‐cover change in tropical regions . Annual Review of Energy and the Environment , 28 : 205 – 242 .
   Google Scholar
• Lansing , J. S. 2002 . “Artificial societies” and the social sciences . Artificial Life , 8 ( 3 ) : 279 – 292 .
   PubMed Web of Science ®Google Scholar
• Lansing , J. S. 2003 . Complex Adaptive Systems . Annual Review of Anthropology , 32 : 204
   Google Scholar
• Malanson , GP . 1999 . Considering complexity . Annals of the Association of American Geographers , 89 : 746 – 753 .
   Web of Science ®Google Scholar
• Manson , S. M. 2001 . Simplifying complexity: a review of complexity theory . GeoForum , 32 : 405 – 414 .
   Web of Science ®Google Scholar
• Manson , S. M. 2005 . Agent‐based modeling and genetic programming for modeling land change in the Southern Yucatan Peninsular Region of Mexico . Agriculture, Ecosystems, and Environment I , 11 : 47 – 62 .
   Google Scholar
• Martin , M. O. , Mullis , I. V.S. , Gonzalez , E. J. , Gregory , K. D. , Smith , T. A. , Chrostowski , S. J. , Garden , R. A. and O'Connor , K. M. 2000 . Trends in International Mathematics and Science Study , Boston : International Study Center, Lynch School of Education, Boston College .
   Google Scholar
• Menard , A. and Marceau , D. J. 2005 . Exploration of spatial scale sensitivity in geographic cellular automata . Environment and Planning B , B 32 ( 5 ) : 693 – 714 .
   Google Scholar
• Messina , J. P. and Walsh , S. J. 2001 . 2.5D Morphogenesis: modeling landuse and landcover dynamics in the Ecuadorian Amazon . Plant Ecology , 156 ( 1 ) : 75 – 88 .
   Web of Science ®Google Scholar
• National Resarch Council . 1998 . National Science Education Standards , Washington, D.C. : National Academy Press .
   Google Scholar
• National Science Board . 2004 . Science and Engineering Indicators , Arlington, VA : National Science Foundation, Division of Science Resource Statistics .
   Google Scholar
• Ordford , S. , Harris , R. and Dorling , D. 1999 . Geography: Information Visualization in the Social Sciences: A State of the Art Review . Social Science Computer Review , 17 ( 3 ) : 289 – 304 .
   Google Scholar
• O'Sullivan , D. 2004 . Complexity science and human geography . Transactions of the British Institute of Geographers , 29 : 282 – 295 .
   Web of Science ®Google Scholar
• Parker , D. , Manson , S. , Janssen , M. , Hofmann , M. and 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 .
   Web of Science ®Google Scholar
• Parush , A. , Hamm , H. and Schtub , A. 2002 . Learning histories in simulation based teaching: the effects on self‐learning and transfer . Computers in Education , 39 : 319 – 332 .
   Web of Science ®Google Scholar
• Pickett , S. T.A. , Cadenasso , M. L. and Grove , J. M. 2005 . Biocomplexity in coupled natural‐human systems: a multidimensional framework . Ecosystems , 8 ( 3 ) : 225 – 232 .
   Web of Science ®Google Scholar
• Richards , A. 2002 . Complexity in physical geography . Geography , 87 ( 2 ) : 99 – 107 .
   Google Scholar
• Roberts , N. 1978 . Teaching dynamic feedback systems thinking: an elementary view . Management Science , 24 ( 8 ) : 836 – 843 .
   Web of Science ®Google Scholar
• Sims , R. 2000 . An interactive conundrum: constructs of interactivity and learning theory . Australian Journal of Educational Technology , 16 : 45 – 57 .
   Google Scholar
• Soares , B. S. , Cerqueira , G. C. and 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 .
   Google Scholar
• Stallins , J. A. and Parker , A. J. 2003 . The influence of complex systems interactions on barrier island dune vegetation pattern and process . Annals of the Association of American Geographers , 93 ( 1 ) : 13 – 29 .
   Web of Science ®Google Scholar
• U.S. Department of Education, National Center for Education Statistics . 1998 . Pursuing Excellence: A Study of U.S. Twelfth‐Grade Mathematics and Science Achievement in International Context, NCES 98-049 , Washington, DC : U.S. Government Printing Office .
   Google Scholar
• Walsh , S. J. , Butler , D. R. , Malanson , G. P. , Crews-Meyer , K. A. , Messina , J. P. and Xiao , N. 2003 . Mapping, Modeling, and Visualization of the Influences of Geomorphic Processes on the Alpine Treeline Ecotone, Glacier National Park, Montana, USA . Geomorphology , 53 ( 1-2 ) : 129 – 145 .
   Web of Science ®Google Scholar
• Walsh , S. J. , Malanson , G. P. , Messina , J. P. and Mena , C. F. “ Complexity and Land Use Dynamics in the Northern Ecuadorian Amazon ” . In GeoForum Edited by: McGinnis , D. and Walsh , S. J. in press, Special Issue on “Biocomplexity of Coupled Human‐Natural Systems”
   Google Scholar
• Wolfram , S. 1984 . Cellular Automata as Models of Complexity . Nature , 311 : 419 – 424 .
   Web of Science ®Google Scholar