Palaeoenvironmental Laboratory, Geography and Environment, University of Southampton, Southampton SO17 1BJ, United Kingdom.
Palaeoenvironmental Laboratory, Geography and Environment, University of Southampton, Southampton SO17 1BJ, United Kingdom.
Sci Total Environ. 2019 Feb 15;651(Pt 2):2105-2117. doi: 10.1016/j.scitotenv.2018.10.118. Epub 2018 Oct 10.
Shaping social-ecological systems towards sustainable, desirable and equitable futures is often hampered by complex human-natural feedbacks, emergence and nonlinearities. Consequently, the future of systems vulnerable to collapse is uncertain under plausible trajectories of environmental change, socioeconomic development and decision-making. We develop a modelling approach that incorporates driver interactions and feedbacks to operationalise future "safe and just operating spaces" for sustainable development. Monte Carlo simulations of fish catch from India's Chilika lagoon are compared to conditions that are ecologically and socioeconomically desirable as per today's norms. Akin to a satellite-navigation system, the model identifies multidimensional pathways giving at least a 75% chance of achieving the desirable future, whilst simultaneously diverting the system away from undesirable pathways. Critically for regional governance, the driver limits and trade-offs associated with regulating the resource are realised. More widely, this approach represents an adaptable framework that explores the resilience of social-ecological interactions and feedbacks underpinning regional sustainable development.
将社会-生态系统塑造为可持续、理想和公平的未来,往往受到复杂的人-自然反馈、涌现和非线性的阻碍。因此,在环境变化、社会经济发展和决策的合理轨迹下,那些容易崩溃的系统的未来是不确定的。我们开发了一种建模方法,该方法将驱动因素的相互作用和反馈纳入其中,以实现可持续发展的未来“安全和公正的运行空间”。印度奇利卡 lagoon 的鱼类捕捞的蒙特卡罗模拟结果与根据今天的标准在生态和社会经济上理想的条件进行了比较。类似于卫星导航系统,该模型确定了多维路径,这些路径至少有 75%的机会实现理想的未来,同时使系统远离不良路径。对于区域治理来说至关重要的是,实现了与监管资源相关的驱动限制和权衡。更广泛地说,这种方法代表了一种适应性框架,探索了支持区域可持续发展的社会-生态相互作用和反馈的弹性。