The Australian Ecosystem Models Framework

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Richards, Anna ORCID ID icon; Dickson, Fiona; Prober, Suzanne ORCID ID icon; Roxburgh, Stephen; Cook, Garry; Metcalfe, Dan; Murphy, Helen; Warnick, Amy; Williams, Kristen ORCID ID icon; Doherty, Michael


2018-05-09


Conference Material


Boden Conference: Ecological surprises and ecosystem collapse, Canberra


1


Dr Dana Bergstrom


In order to make effective environmental management decisions, models are needed that describe the dynamic characteristics and drivers of Australian ecosystems in states with varying degrees of ecological integrity. Without a framework that consistently describes differences between reference and observed states of ecosystems, it is challenging to develop effective national environmental policy, convincingly argue for intervention and investment, or make predictions of ecosystem changes under rapid climate change. To this end the Australian Ecosystem Models Framework is synthesising and summarising scientific knowledge of ecosystem dynamics and capturing this in a set of dynamic models. We describe the structure of the framework and its conceptual underpinning, including a disturbance-based typology of ecosystems and a state and transition model-based template for describing recent and transformative anthropogenic impacts on ecosystem dynamics. We use a case study from an expert-derived conceptual model of an East coast floodplain vegetation complex to illustrate how the framework can be applied at both continental and local scales.


Boden Conference, Australian Academy of Science


Environmental Management


Funding Body NameProject/Grant ID
Australia. Department of the Environment


EP184242


Conference Abstract


English


Richards, Anna; Dickson, Fiona; Prober, Suzanne; Roxburgh, Stephen; Cook, Garry; Metcalfe, Dan; Murphy, Helen; Warnick, Amy; Williams, Kristen; Doherty, Michael. The Australian Ecosystem Models Framework. In: Boden Conference: Ecological surprises and ecosystem collapse; Canberra. Boden Conference, Australian Academy of Science; 2018. 1. csiro:EP184242. http://hdl.handle.net/102.100.100/87025?index=1



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