@article {360,
	title = {Predicting the Occurrence of Downy Brome (Bromus tectorum) in Central Oregon},
	journal = {Invasive Plant Science and Management},
	volume = {5},
	year = {2012},
	month = {01/2012},
	pages = {83-91},
	chapter = {83},
	doi = {10.1614/IPSM-D-11-00029.1},
	url = {http://www.bioone.org/doi/abs/10.1614/IPSM-D-11-00029.1},
	author = {Lovtang, Sara C. P. and Riegel, Gregg M.}
}
@article {312,
	title = {Pressing issues in social simulation: From building models to building science},
	year = {2010},
	publisher = {School of Planning, University of Waterloo},
	address = {Waterloo, Ontario, Canada},
	author = {Dawn Cassandra Parker}
}
@article {217,
	title = {The Potential of Agent-Based Modelling for Performing Economic Analysis of Adaptive Natural Resource Management},
	journal = {Journal of Natural Resources Policy Research},
	volume = {1},
	year = {2009},
	pages = {35-48},
	chapter = {35},
	url = {http://www.informaworld.com/10.1080/19390450802509773},
	author = {Loomis, John and Bond, Craig and Harpman, David}
}
@article {34,
	title = {Postfire Communications: The Influence of Site Visits on Local Support},
	journal = {Journal of Forestry},
	volume = {January/February 2008},
	year = {2008},
	pages = {25-30},
	author = {Eric L. Toman and Bruce Shindler and Jim Absher and Sarah McCaffrey}
}
@article {springerlink:10.1007/s11269-006-9043-1,
	title = {Possibilities and problems with the use of models as a communication tool in water resource management},
	journal = {Water Resources Management},
	volume = {21},
	year = {2007},
	note = {10.1007/s11269-006-9043-1},
	pages = {97-110},
	publisher = {Springer Netherlands},
	issn = {0920-4741},
	url = {http://dx.doi.org/10.1007/s11269-006-9043-1},
	author = {Olsson, Johanna and Andersson, Lotta}
}
@article {2007,
	title = {The Precursors of Governance in the Maine Lobster Fishery},
	journal = {Proceedings of the National Academy of Sciences of the United States of America},
	volume = {104},
	number = {39},
	year = {2007},
	pages = {pp. 15212-15217},
	publisher = {National Academy of Sciences},
	abstract = {Collective action is more likely to occur and to be effective when it is consistent with the self-interest of the affected individuals. The Maine lobster fishery is an instructive example of biological and technological circumstances combining with individual self-interest to create conditions favorable to collective action. The model describes the way social structure emerges from the adaptive behavior of competing fishers. Fishers compete in two ways: in a scramble to find the lobsters first and by directly interfering in other fishers{\textquoteright} ability to compete, i.e., by cutting their traps. Both forms of competition lead fishers to interact frequently and to self-organize into relatively small groups. They learn to restrain their competitive behavior toward their neighbors but do not extend that same restraint to nonneighbors. Groups work within well defined boundaries, contact one another frequently, actively exchange information about the resource, and, most importantly, depend on continuing mutual restraint for their economic well-being. These self-organizing, competitive processes lay the foundation for successful collective action, i.e., mutual agreements that create the additional restraint required for conservation. (truncated from original)},
	issn = {00278424},
	url = {http://www.jstor.org/stable/25449115},
	author = {Wilson, James and Yan, Liying and Wilson, Carl}
}
@article {Rupasingha200683,
	title = {The production of social capital in US counties},
	journal = {Journal of Socio-Economics},
	volume = {35},
	number = {1},
	year = {2006},
	note = {Essays on Behavioral Economics},
	pages = {83 - 101},
	keywords = {Associations, Production, Social capital, USA counties},
	issn = {1053-5357},
	doi = {DOI: 10.1016/j.socec.2005.11.001},
	url = {http://www.sciencedirect.com/science/article/B6W5H-4J2M4FX-2/2/255ed7480feedafb4e460a1cf93b2f90},
	author = {Anil Rupasingha and Stephan J. Goetz and David Freshwater}
}
@article {243,
	title = {Pattern-oriented modeling of agent-based complex systems: lessons from ecology.},
	journal = {Science},
	volume = {310},
	year = {2005},
	month = {2005/11/11/},
	pages = {987(5)},
	abstract = {<p>Agent-based complex systems are dynamic networks of many interacting agents; examples include ecosystems, financial markets, and cities. The search for general principles underlying the internal organization of such systems often uses bottom-up simulation models such as cellular automata and agent-based models. No general framework for designing, testing, and analyzing bottom-up models has yet been established, but recent advances in ecological modeling have come together in a general strategy we call pattern-oriented modeling. This strategy provides a unifying framework for decoding the internal organization of agent-based complex systems and may lead toward unifying algorithmic theories of the relation between adaptive behavior and system complexity.</p>},
	keywords = {Analysis, Ecological research_Analysis, Ecological research_Methods, Methods},
	isbn = {0036-8075},
	author = {Grimm,Volker and Revilla,Eloy and Berger,Uta and Jeltsch,Florian and Mooij, Wolf M. and Railsback, Steven F. and Thulke,Hans-Hermann and Weiner,Jacob and Wiegand,Thorsten and DeAngelis, Donald L.}
}
