Mitchell Michael, Lockwood Michael, Moore Susan A, Clement Sarah
Geography and Spatial Studies, School of Land and Food, University of Tasmania, Private Bag 78, Hobart, Tasmania 7001, Australia.
School of Veterinary and Life Sciences, Murdoch University, South Street, Murdoch, WA 6150, Australia.
J Environ Manage. 2015 Mar 1;150:69-80. doi: 10.1016/j.jenvman.2014.11.013. Epub 2014 Nov 26.
Current policy interventions are having limited success in addressing the ongoing decline in global biodiversity. In part, this is attributable to insufficient attention being paid to the social and governance processes that drive decisions and can undermine their implementation. Scenario planning that draws on social-ecological systems (SES) analysis provides a useful means to systematically explore and anticipate future uncertainties regarding the interaction between humans and biodiversity outcomes. However, the effective application of SES models has been limited by the insufficient attention given to governance influences. Understanding the influence governance attributes have on the future trajectory of SES is likely to assist choice of effective interventions, as well as needs and opportunities for governance reform. In a case study in the Australian Alps, we explore the potential of joint SES and scenario analyses to identify how governance influences landscape-scale biodiversity outcomes. Novel aspects of our application of these methods were the specification of the focal system's governance attributes according to requirements for adaptive capacity, and constraining scenarios according to the current governance settings while varying key social and biophysical drivers. This approach allowed us to identify how current governance arrangements influence landscape-scale biodiversity outcomes, and establishes a baseline from which the potential benefits of governance reform can be assessed.
当前的政策干预在应对全球生物多样性持续下降方面成效有限。部分原因在于,对驱动决策并可能破坏其实施的社会和治理过程关注不足。基于社会生态系统(SES)分析的情景规划提供了一种有用的方法,可系统地探索和预测未来人类与生物多样性成果之间相互作用的不确定性。然而,SES模型的有效应用因对治理影响关注不足而受到限制。了解治理属性对SES未来轨迹的影响,可能有助于选择有效的干预措施,以及治理改革的需求和机遇。在澳大利亚阿尔卑斯山的一个案例研究中,我们探讨了联合SES和情景分析的潜力,以确定治理如何影响景观尺度的生物多样性成果。我们应用这些方法的新颖之处在于,根据适应能力的要求确定焦点系统的治理属性,并根据当前治理环境对情景进行限制,同时改变关键的社会和生物物理驱动因素。这种方法使我们能够确定当前的治理安排如何影响景观尺度的生物多样性成果,并建立一个基线,据此可以评估治理改革的潜在益处。