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A Participatory and Spatial Multicriteria Decision Approach to Prioritize the Allocation of Ecosystem Services to Management Units
Publication . Marques, Marlene; Reynolds, Keith M.; Marques, Susete; Marto, Marco; Paplanus, Steve; Borges, Jose G.
Forest management planning can be challenging when allocating multiple ecosystem
services (ESs) to management units (MUs), given the potentially conflicting management priorities of
actors. We developed a methodology to spatially allocate ESs to MUs, according to the objectives
of four interest groups—civil society, forest owners, market agents, and public administration. We
applied a Group Multicriteria Spatial Decision Support System approach, combining (a) Multicriteria
Decision Analysis to weight the decision models; (b) a focus group and a multicriteria Pareto
frontier method to negotiate a consensual solution for seven ESs; and (c) the Ecosystem Management
Decision Support (EMDS) system to prioritize the allocation of ESs to MUs. We report findings
from an application to a joint collaborative management area (ZIF of Vale do Sousa) in northwestern
Portugal. The forest owners selected wood production as the first ES allocation priority, with lower
priorities for other ESs. In opposition, the civil society assigned the highest allocation priorities to
biodiversity, cork, and carbon stock, with the lowest priority being assigned to wood production. The
civil society had the highest mean rank of allocation priority scores. We found significant differences
in priority scores between the civil society and the other three groups, highlighting the civil society
and market agents as the most discordant groups. We spatially evaluated potential for conflicts
among group ESs allocation priorities. The findings suggest that this approach can be helpful to
decision makers, increasing the effectiveness of forest management plan implementation
Multicriteria Decision Analysis and Group Decision-Making to Select Stand-Level Forest Management Models and Support Landscape-Level Collaborative Planning
Publication . Marques, Marlene; Reynolds, Keith M.; Marto, Marco; Lakicevic, Milena; Caldas, Carlos; Murphy, Philip J.; Borges, Jose G.
Forest management planning is a challenge due to the diverse criteria that need to be
considered in the underlying decision-making process. This challenge becomes more complex in
joint collaborative management areas (ZIF) because the decision now may involve numerous actors
with diverse interests, preferences, and goals. In this research, we present an approach to identifying
and quantifying the most relevant criteria that actors consider in a forest management planning
process in a ZIF context, including quantifying the performance of seven alternative stand-level forest
management models (FMM). Specifically, we developed a combined multicriteria decision analysis
and group decision-making process by (a) building a cognitive map with the actors to identify the
criteria and sub-criteria; (b) structuring the decision tree; (c) structuring a questionnaire to elicit
the importance of criteria and sub-criteria in a pairwise comparison process, and to evaluate the
FMM alternatives; and (d) applying a Delphi survey to gather actors’ preferences. We report results
from an application to a case study area, ZIF of Vale do Sousa, in North-Western Portugal. Actors
assigned the highest importance to the criteria income (56.8% of all actors) and risks (21.6% of all
actors) and the lowest to cultural services (27.0% of all actors). Actors agreed on their preferences for
the sub-criteria of income (diversification of income sources), risks (wildfires) and cultural services
(leisure and recreation activities). However, there was a poor agreement among actors on the subcriteria
of the wood demand and biodiversity criteria. For 27.0% of all actors the FMM with the
highest performance was the pedunculate oak and for 43.2% of all actors the eucalypt FMM was
the least preferable alternative. The findings indicate that this approach can support ZIF managers
in enhancing forest management planning by improving its utility for actors and facilitating its
implementation
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Fundação para a Ciência e a Tecnologia
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OE
Número da atribuição
59794