Mental Models for Assessing Impacts of Stormwater on Urban Social–Ecological Systems

Urban Science

article

Caitlyn B. O’Connor¹  Phillip S. Levin¹ 

[1] School of Marine and Environmental Affairs, University of Washington;The Nature Conservancy

关键词: mental model;    Puget Sound;    stormwater;    social–ecological system;    herring;    expert elicitation;   

DOI  :  10.3390/urbansci7010014

学科分类：社会科学、人文和艺术（综合）

来源: mdpi

【 摘 要 】

Managing social–ecological systems that benefit both humans and nature is the central challenge of natural resource management. Integrating multiple perspectives into decision-making adds flexibility to social–ecological systems by reducing rigidity and promoting adaptability. Our objective was to assess expert perceptions of the structure, content, and function of the Puget Sound stormwater social–ecological system. We interviewed Puget Sound stormwater experts to document their mental models of the system and compared the network structure of expert maps. We also assessed differences among experts in the components of the social–ecological system which were included in mental models. Our analyses revealed differences between genders, as well as between managers, in how experts characterized the system. Notably, female participants tended to characterize the social–ecological system as one in which there were many system drivers generating multiple impacts across the system. The mental models of the scientists tended to include more resource units than those of the managers, which focused more on governance compared to those of the scientists. Finally, we incorporated the diverse input from mangers and scientists to create a single mental model to represent a consensus on the Puget Sound stormwater social–ecological system. This work highlights the fact that addressing the stormwater problem requires that we embrace the varied perspectives of scientists, managers, and stakeholders. We contend that incorporating the diverse perspectives of experts within the context of social–ecological systems provides a promising path towards a lasting and durable recovery for the ecosystem.

【 授权许可】

CC BY