Brock William A, Carpenter Stephen R
Department of Economics, University of Wisconsin, Madison, WI 53706, USA.
Proc Natl Acad Sci U S A. 2007 Sep 25;104(39):15206-11. doi: 10.1073/pnas.0702096104. Epub 2007 Sep 19.
We consider panacea formation in the framework of adaptive learning and decision for social-ecological systems (SESs). Institutions for managing such systems must address multiple timescales of ecological change, as well as features of the social community in which the ecosystem policy problem is embedded. Response of the SES to each candidate institution must be modeled and treated as a stochastic process with unknown parameters to be estimated. A fundamental challenge is to design institutions that are not vulnerable to capture by subsets of the community that self-organize to direct the institution against the overall social interest. In a world of episodic structural change, such as SESs, adaptive learning can lock in to a single institution, model, or parameter estimate. Policy diversification, leading to escape from panacea traps, can come from monitoring indicators of episodic change on slow timescales, minimax regret decision making, active experimentation to accelerate model identification, mechanisms for broadening the set of models or institutions under consideration, and processes for discovery of new institutions and technologies for ecosystem management. It is difficult to take all of these factors into account, but the discipline that comes with the attempt to model the coupled social-ecological dynamics forces policy makers to confront all conceivable responses. This process helps induce the modesty needed to avoid panacea traps while supporting systematic effort to improve resource management in the public interest.
我们在社会生态系统(SESs)的适应性学习和决策框架内考虑万灵药的形成。管理此类系统的机构必须应对生态变化的多个时间尺度,以及生态系统政策问题所嵌入的社会群体的特征。SES对每个候选机构的响应必须进行建模,并被视为一个具有待估计未知参数的随机过程。一个根本挑战是设计出不易被社区中的某些子集俘获的机构,这些子集可能会自我组织起来,使机构违背整体社会利益行事。在一个存在偶发性结构变化的世界中,比如SESs,适应性学习可能会锁定于单一的机构、模型或参数估计。政策多样化,即摆脱万灵药陷阱的方法,可以来自于监测慢时间尺度上偶发性变化的指标、极小极大遗憾决策、加速模型识别的主动实验、拓宽所考虑的模型或机构集合的机制,以及发现用于生态系统管理的新机构和新技术的过程。很难将所有这些因素都考虑在内,但尝试对社会 - 生态耦合动态进行建模所带来的学科要求迫使政策制定者面对所有可能的响应。这个过程有助于培养避免万灵药陷阱所需的谦逊态度,同时支持为了公共利益改善资源管理的系统性努力。