<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Fulton, EA</style></author><author><style face="normal" font="default" size="100%">Gray, R</style></author><author><style face="normal" font="default" size="100%">Sporcic, M</style></author><author><style face="normal" font="default" size="100%">Scott, R</style></author><author><style face="normal" font="default" size="100%">Gorton, B</style></author><author><style face="normal" font="default" size="100%">Hepburn, M</style></author><author><style face="normal" font="default" size="100%">Boschetti, F</style></author><author><style face="normal" font="default" size="100%">Thomas, L</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Chan, F</style></author><author><style face="normal" font="default" size="100%">Marinova, D</style></author><author><style face="normal" font="default" size="100%">Anderssen, RS</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Ningaloo from a systems perspective – What has it taught us?</style></title><secondary-title><style face="normal" font="default" size="100%">19th International Congress on Modelling and Simulation</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">modelling</style></keyword><keyword><style  face="normal" font="default" size="100%">Ningaloo</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2011</style></year><pub-dates><date><style  face="normal" font="default" size="100%">12/2011</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.mssanz.org.au/modsim2011/index.htm</style></url></web-urls><related-urls><url><style face="normal" font="default" size="100%">https://ningaloo-atlas.org.au/sites/default/files/Fulton et al. 2011a.pdf</style></url></related-urls></urls><publisher><style face="normal" font="default" size="100%">Modelling and Simulation Society of Australia and New Zealand</style></publisher><pub-location><style face="normal" font="default" size="100%">Perth</style></pub-location><isbn><style face="normal" font="default" size="100%">978-0-9872143-1-7</style></isbn><abstract><style face="normal" font="default" size="100%">A system-level perspective of exploited marine and coastal ecosystems provides insight into
cross-scale dynamics and potential conflicts between sectors operating within the same region. Such insights
are a necessary part of adaptive management, as conflict and ‘surprise’ outcomes of interactions between
processes operating on different scales could undermine the intent of management actions taken in support of
sustainable development. Agent-based models provide one means of obtaining the desired system
perspective. These types of models are one of the few platforms that can deal with the large number of scales
and processes that can drive the alternative states that socioecological systems can take. By defining
individual-based approaches and both differential and discrete equation-based formulations as agents
sufficient flexibility is provided to create cross-scale whole-of-system models that can include biophysical,
social and economic drivers and interactions. This combination of agent types and the resulting flexibility has
provided essential for identifying trade-offs between sectors, identifying “unintended consequences” and
supporting the implementation of adaptive management in the Ningaloo Reef - Exmouth system of Western
Australia.</style></abstract></record></records></xml>