人类世
启发式
弹性(材料科学)
推论
心理弹性
管理科学
持续性
气候变化
数据科学
计算机科学
生态学
环境资源管理
人工智能
心理学
生物
工程类
环境科学
心理治疗师
物理
热力学
作者
David G. Angeler,Ahjond S. Garmestani,Craig R. Allen,Lance Gunderson
标识
DOI:10.1016/bs.aecr.2023.10.005
摘要
Panarchy is a heuristic of complex system change rooted in resilience science. The concept has been rapidly assimilated across scientific disciplines due to its potential to envision and address sustainability challenges, such as climate change and regime shifts, that pose significant challenges for humans in the Anthropocene. However, panarchy has been studied almost exclusively via qualitative research. Quantitative approaches are scarce and preliminary but have revealed novel insights that allow for a more nuanced understanding of the heuristic and resilience science more generally. In this roadmap we discuss the potential for future quantitative approaches to panarchy. Transdisciplinary development of quantitative approaches, combined with advances in data accrual, curation and machine learning, may build on current tools. Combined with qualitative research and traditional approaches used in ecology, quantification of panarchy may allow for broad inference of change in complex systems of people and nature and provide critical information for management of social-ecological systems.
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