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A multi-field bio-economic model of irrigated grain–cotton farming systems
4 references·0 citing·20 second hop
A multi-field bio-economic model of irrigated grain–cotton farming systems (2011)A multi-field bio-economic model of irrig…Re-inventing model-based decision support with Australian dryland farmers. 1. Changing intervention concepts during 17 years of action research (2009)Re-inventing model-based deci…Overshoot, adapt and recover (2009)Overshoot, adapt and recoverLearning from the historical failure of farm management models to aid management practice. Part 2. Three systems approaches (2006)Learning from the historical …Locating agricultural decision support systems in the troubled past and socio-technical complexity of ‘models for management’ (2002)Locating agricultural decisio…The Economics of Climate Change (2007)The Economics of Climate Change: The Stern Review (2007)Investment and financial flows to address climate change: an update (2008)Climate Change, Human Well-Being and Insecurity (2010)Give it up for climate change: a defence of the beneficiary pays principle (2012)Meeting global temperature targets—the role of bioenergy with carbon capture and storage (2013)Judgment under Uncertainty: Heuristics and Biases (1974)From substantive to procedural rationality (1976)The Concept of Mind (2006)Challenges of operations research practice in agricultural value chains (2009)The land-network problem: ecosystem carbon balance in planning sustainable agro-food supply chains (2015)Systems Thinking, Systems Practice (1981)The Reflective Practitioner: How Professionals Think in Action (1985)Handbook of action research (2006)Concevoir et construire la décision (2009)A financial analysis of the effect of the mix of crop and sheep enterprises on the risk profile of dryland farms in south-eastern Australia (2011)Experiential Learning : Experience as the Source of Learning and Development (1983)The fifth discipline, the art and practice of the learning organization (1991)Beyond modelling: considering user-centred and post-development aspects to ensure the success of a decision support system (2016)How Decision Support Systems Can Benefit from a Theory of Change Approach (2017)
this work references cited by second hop

References

  • 2009Overshoot, adapt and recover164 cited
  • 2002Locating agricultural decision support systems in the troubled past and socio-technical complexity of ‘models for management’151 cited
  • 2009Re-inventing model-based decision support with Australian dryland farmers. 1. Changing intervention concepts during 17 years of action research98 cited
  • 2006Learning from the historical failure of farm management models to aid management practice. Part 2. Three systems approaches47 cited

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