This guide reviews approaches to manage risk and uncertainty in ecosystem-based management, integrating diverse knowledge and outlining essential analyses methods.
This document serves as a guidance tool for understanding and managing risk and uncertainty in the context of ecosystem-based management (EBM) and aligning with the views under Te Ao. It provides holistic approaches to rethink risk assessment, emphasising multi-faceted knowledge integration. The document introduces diagnostic tools to explore worldviews, disciplines, and positionalities that influence perceptions, calling for continuous tool revisitation throughout decision-making.
Detailed analysis examines specific risk assessment methods suitable for EBM, underscoring the relevance of complexities, diverse knowledge systems, and spatial-temporal dynamics. Value-driven assessments necessitate methods accommodating multiple stressors, cultural dimensions, and uncertainty management. Case studies illustrate practical applications, evaluating diverse methods from Likelihood-Consequence models to Bayesian Networks, and promoting inclusive, informed decision-making.
The document concludes with an assertion of the ongoing need for critical engagement with the provided tools to adapt and enhance decision-making aligned with EBM principles. It encourages reflection and iterative learning to navigate the evolving landscape of environmental governance. Emphasis is placed on upholding responsibilities to current and future generations, advocating progressive thinking to maintain ecological, social, cultural, and economic balance.
The incorporation of multiple worldviews, including Te Ao, into risk management leads to a more comprehensive understanding of risks and uncertainties. Recognising varied disciplinary perspectives and individual positionalities enriches decision-making processes, allowing for nuanced and culturally sensitive environmental stewardship.
Adopting flexible risk assessment tools facilitates informed decision-making in complex marine ecosystems. Methods like Bayesian Networks, capable of integrating uncertainties and diverse knowledge types, offer critical insights for ecosystem-based management, aiding in strategic responses to environmental challenges.
Persistent re-engagement with diagnostic tools and assessment frameworks ensures the progression and refinement of ecosystem-based management practices. This iterative process enables stakeholders to adapt to changing circumstances, fostering continuous improvement and sustainability in environmental governance.
Knowledge guiding change.
© Copyright 2024 - Tohorā
© Copyright 2024 - Tohorā
Knowledge guiding change.