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Multicriteria Evaluation of Spatial-Temporal Marine Sites . Yanlai Zhao, Michael Sutherland, Dan Lane and Wojtek Michalowski, School of Management University of Ottawa, Rob Stephenson and Fred Page, Department of Fisheries and Oceans, St. Andrews Biological Station. Outline. Methodology

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multicriteria evaluation of spatial temporal marine sites

Multicriteria Evaluation of Spatial-Temporal Marine Sites

Yanlai Zhao, Michael Sutherland, Dan Lane and Wojtek Michalowski,

School of Management

University of Ottawa,

Rob Stephenson and Fred Page,

Department of Fisheries and Oceans,

St. Andrews Biological Station

outline
Outline
  • Methodology
  • GIS Processing
  • Yield Valuation
  • Multicriteria analysis using AHP
  • Expert Choice Analysis
slide4

Participants’

Perspectives from Pairwise Comparisons

Goal

Resources, Habitat,

Effluent, Activities

Herring, Scallops, Lobster, Urchins

Salt Marshes, Rockweed

Chemicals

Weirs, Traps, Drags, Recreation

Site

Evaluation

Methodology and Model Summary

Marine Site Components Multicriteria Analysis (Goal Hierarchy)

Site Options: GIS Evaluations (participant independent)

as function of the spatial-temporal inventory

slide5

Lobster

Herring:

Day/Night

Habitat

Scallops

Rockweed

Effluent

Urchins

Salt

Marshes

Chemical A

Benthic

Structures

Current

Flow

Chemical B

Chemical C

An Aquaculture Case Study:

Ecosystem Components

Socioeconomic Activities

Biological/Ecosystem Resources

Herring Weirs

Scallop

urchin

drags

Lobster traps

Fish Farm Sites

Recreation

slide7

Spatial overlay process

Yield valuations per dataset for entire study area

Pair-wise processing of component data

Yield valuation for layer a + layer b

Yield valuation for layer a + layer c

Yield valuation for layer b + layer c

Overall yield valuation of selected area of interest for use in decision support

Estimation of Cumulative Effects

Select area of interest

Study area spatial and thematic datasets

+

slide10

Yield Evaluation of Overlapping

Components

B

A

AB

ABC

C

BC

AC

pairwise overlapping

Yield A => Yield A + Yield AB + Yield AC

slide12

Select area of interest

Study area spatial and thematic datasets

+

Spatial overlay process

Yield valuations per dataset for entire study area

Pair-wise processing of component data

Yield valuation for layer a + layer b

Yield valuation for layer a + layer c

Yield valuation for layer b + layer c

Overall yield valuation of selected area of interest for use in decision support

Estimation of Cumulative Effects

analytical hierarchy process ahp
Analytical Hierarchy Process (AHP)
  • Construction of the hierarchy model
  • Pairwise comparison
  • Synthesis of the priorities and ranking of the alternatives
  • Expert Choice 11 Group Decisions (EC11)

AHP computer implementation software

slide15

Hierarchical problem formulation:

Participant dependent/Site independent

Level 1

Goal

Ecosystem Goal

Level 2

components

Resources

Habitat

Effluents

Activities

Level 3

Sub-Components

R1

R2

R3

R4

R5

H1

H2

H3

H4

A5

C1

C2

C3

A1

A2

A3

A4

Level 4

Alternatives

Alternative 1

Alternative 2

5 participant groups
5 Participant Groups
  • Local Communities
  • Federal Scientists
  • Industrial Organizations
  • Non-governmental Organizations
  • Provincial Governments
slide19
Attributed weights of the 5 participants on the 4 components: R, H, E and A (Resources, Habitat, Effluents and Activities)
conclusions to date
Conclusions-to-date
  • Address conflicts by accepting and exposing them
  • Develop measurable indicators of impacts
  • Evaluate importance trade-offs (pairwise comparisons) among different participants
  • Search for common ground via sensitivity analysis on data and hierarchy weights
  • Results provide decision support framework for multiple participants in an uncertain, complex environment
  • DEA ranking methods under review