Revealing Community Perceptions for Ecological Restoration Using a Soft System Methodology

Abstract

Human perceptions under unstructured forms contain valuable information for ecological restoration (ER). To aid in ER, this paper introduces a working process to analyze the unstructured information for the case study of black bear restoration (BBR) in East Texas where understanding of the perceptions of stakeholders at a community level is needed. We identified the current situation, revealed stakeholders and their interactions, and developed actions for change for BBR. Our techniques included recording discussions in meetings, Soft Systems Methodology, and stakeholder analysis. Results indicated the current situation of BBR with human-bear and human-human conflicts. We figured out that information exchange was interrupted in the public, a potential cause for conflicts. Through a systemization, results showed various roles of key stakeholders and constraints for BBR. We found that local state agencies and local residents (particularly landowners) are the key decision-makers for BBR success. Their collaboration can result in a small portion of success (1/9) that can be increased by more cooperation. The SSM framework introduced in this study can be used for modeling community perceptions in ecological restoration.