2014
DOI: 10.2111/rangelands-d-14-00017
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A Systems Thinking Approach to Ranching: Finding Leverage to Mitigate Drought

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Cited by 10 publications
(4 citation statements)
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“…On the one hand, systems thinking is generally recognised for addressing complexity (Seiffert and Loch 2005;Nguyen et al 2015), especially when it comes to the structure, processes and interactions between human and nature for the design, planning and implementation of effective interventions (Alberti et al 2011;Binder et al 2013;Rhoades et al 2014;Lawrence et al 2020). Whether it is via social-ecological systems -SES-(e.g., Ostrom 2009), coupled human and natural systems -CHANS-(e.g., Liu et al 2007), or human-environment systems -HES-(e.g., Scholz 2011), to mention a few, these approaches aim at improving the understanding of the situation's complexity.…”
Section: Systems Thinking In a Ws-wr Situationmentioning
confidence: 99%
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“…On the one hand, systems thinking is generally recognised for addressing complexity (Seiffert and Loch 2005;Nguyen et al 2015), especially when it comes to the structure, processes and interactions between human and nature for the design, planning and implementation of effective interventions (Alberti et al 2011;Binder et al 2013;Rhoades et al 2014;Lawrence et al 2020). Whether it is via social-ecological systems -SES-(e.g., Ostrom 2009), coupled human and natural systems -CHANS-(e.g., Liu et al 2007), or human-environment systems -HES-(e.g., Scholz 2011), to mention a few, these approaches aim at improving the understanding of the situation's complexity.…”
Section: Systems Thinking In a Ws-wr Situationmentioning
confidence: 99%
“…Regarding the visual aspects of the analytical concept, conceptual maps are a means of explicitly portraying complexity, as it probably exceeds the capacity to conceptualise it in mental models (Nguyen et al 2015), and especially to analyse existing interlinkages between the system's elements (e.g., Davies and Simonovic 2011;Mirchi et al 2012;Sterman 2012;Di Baldassarre et al 2013). They have been recognised as essential modelling tools that support the understanding of the system, model design, identifying leverage points and communication with stakeholders (Rhoades et al 2014;Voinov 2018). Here the ML-LB approach can serve as a basis for more sophisticated visualisations of the information system showing all dimensions simultaneously.…”
Section: Supporting Decision-making Via the Analytical Conceptmentioning
confidence: 99%
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“…Leverage points studies as part of climate change adaptation research are limited but exist. Leverage points were studied to inform adaptation to climate change to improve human health (Proust et al 2012) and in relation to responses to drought (Rhoades et al 2014). However, few studies identify leverage points to strengthen the adaptive capacity to climate change.…”
Section: Leverage Pointsmentioning
confidence: 99%