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MSE and Coastal Zone Management. Bill de la Mare CMAR. February, 2011. Adaptive management. Human activity. World. Outcomes. Objectives. Decision Rules. Measurements. Adaptive management simulator. Performance criteria. Model human activity. Management Decisions. Model world.
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MSE and Coastal Zone Management Bill de la Mare CMAR February, 2011
Adaptive management Human activity World Outcomes Objectives Decision Rules Measurements
Adaptive management simulator Performance criteria Model human activity Management Decisions Model world Outcomes Objectives Simulated measurements
Aspirations Environment Social Economic Natural Capital Institutional More Best possible
Environment Social Economic Natural Capital Institutional More Best possible
Environment Social Economic Natural Capital Institutional More Best possible
Environment Social Reachable space Economic Natural Capital Institutional More Best possible
Dealing with structural uncertainty and scenarios Performance criteria Model human activity 1 Objectives Outcomes Decisions Model World 1 Model World 2 Model human activity 2 Model World 3 . . . . . . Model human activity n Model World n . . . Simulated measurements
Component models in C2C MSE Management decision and action models Rural land-use models River and stream biophysical models Urban land-use models Future weather and climate scenarios Water treatment models Future development scenarios Receiving water quality biophysical models Selected taxa models Assessment against objectives: environmental, social, economic EHMP model
Sod’s Law of Information The information you … … have is not the information you want … want is not the information you need … need is not the information you can obtain … can obtain costs more than you can afford
Objectives of client or organiser Science / Expert facts, relationships, models, maps, scenarios Participatory Integrated Assessment procedures, group interaction, moderation, information presentation, scenarios, surprises Policy facts, relationships, models, maps, scenarios Policy-oriented synthesis facts, relationships, models, maps, scenarios
Adaptive management “open loop” simulator Decision maker Model human activity Outcomes Model world Objectives Simulated measurements
Adaptive management “closed loop” simulator Simulated decision maker Model human activity Outcomes Model world Objectives Simulated measurements
Physical World Management World Investment Management Constraints Objectives Economic activities Management actions Benefits Ecosystem services Natural capital Catch Management Strategy Data Data Data Data Estimation of status Data Data
Current paths to science impact Science / Research Assessment Policy development Political decision Information flow Strong / normative Weak / normative Weak Very weak / absent
Influence of assessments • External Factors • Historical context • User characteristics • Influences on: • Understanding • Goals • Decisions • Behaviour Relevance Credibility Legitimacy Relevance Credibility Legitimacy • Design of assessment • Process • Product
Influence of assessments • External Factors • Historical context • User characteristics • Influences on: • Understanding • Goals • Decisions • Behaviour Relevance Credibility Legitimacy Relevance Credibility Legitimacy • Design of assessment • Process • Product
More effective paths to science impact Science / Research Assessment Policy development Political decision Information flow Strong / normative Normative Useability
Proposed increment in human activities Region highly Impacted? No Yes Plan with existing/qualitative models Plan with high fidelity models Sustainability Probable? A No Yes Precautionary approach has been satisfied OK
A Multiple-use Issues? Yes Multiple-use MSE Single-use MSE No Sustainability Probable? Sustainability Probable? Yes Yes OK Precautionary approach has been satisfied No No Adjust proposed use Rebalance multiple uses
Science Challenges Frontier science (combining natural and social sciences) Interaction between natural and socio-economic systems Complexity Irredeemable uncertainty Institutions, governance and policy Competing demands, values and interests Diversity of stakeholders Uncertain management goals Scarce scientific resources