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Using soft-systems methods to evaluate the outputs from multi-objective land use planning tools Keith Matthews, The Macaulay Institute, Aberdeen, U.K.

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Presentation on theme: "Using soft-systems methods to evaluate the outputs from multi-objective land use planning tools Keith Matthews, The Macaulay Institute, Aberdeen, U.K."— Presentation transcript:

1 Using soft-systems methods to evaluate the outputs from multi-objective land use planning tools Keith Matthews, The Macaulay Institute, Aberdeen, U.K. iEMSs 2002 – Integrated Assessment and Decision Support MODSS - Special Session

2 Land-use Planning (LADSS) Strategic Farm-scale: individual land-management units Spatially explicit Multi-objective: financial, social and environmental Exploiting systems-based research Assisting by finding and evaluating alternative patterns of land-use.

3 Search and optimisation tools to define the trade-off between objectives Decision Support

4 Soft Systems Multiple perspective appraisal (rapid rural appraisal) Exercises - best if real world Stakeholders Convenor - independent Facilitator - reporter Introduction - exercises - plenary session(s)

5 Delegates Task - individual and group Materials Bank Advisor, Systems Analyst, Agri-Science (2), Biologist, Conservationist, Estate Managers (2), Farm Managers (2) Workable compromise - between financial and diversity goals - pattern of allocation Maps, photos, tables - soil, climate, topography. Some interpretation - land capability, conservation value. Option of map or table output

6 Test Application Research station: 90 blocks, 10 uses - typical size/options. Financial returns and diversity/evenness of land use (Shannon index)

7 Assumptions/Rules of the game OursTheirs 10 land uses5 land use - trees classified Diversification possible Existing boundaries Accepted (but limiting) No bought or soldRenting out possible Existing land use does Fix all existing woodland not preclude a new one Capital and infrastruc-Accepted (but a real world ture not limitingproblem of lock-in)

8 Delegate Maps

9 Individual Allocations - 1

10 Individual Allocations - 2

11 Group Allocations - 1

12 Group Allocations - 2

13 Delegate Influence-1 Find the weights that would need to applied to the C-o-G calculation result in a C-o-G located at the group allocation. DelegatePMIMean WT BA10.200.22 AG10.160.21 B10.00.04 E1-10.00.12 E1-20.640.48

14 Delegate Influence-2 DelegatePMIMean WT SA20.260.19 AG20.220.17 C20.180.19 E20.340.29 F2 0.00.14

15 Conclusions Practitioners operate within social constraints on management Solutions proposed across the trade-off Practical management concerns can be incorporated into the optimisation algorithms to make the solutions found more realistic. Finding range of best compromise solutions is useful - compromise between individual practitioners can result in poorer solutions http://www.macaulay.ac.uk/LADSS

16 Individual Allocations - 1

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