Next Article in Journal
Urban Park Systems to Support Sustainability: The Role of Urban Park Systems in Hot Arid Urban Climates
Next Article in Special Issue
Species Mixing Regulation with Respect to Forest Ecosystem Service Provision
Previous Article in Journal
Modeling Burned Areas in Indonesia: The FLAM Approach
Previous Article in Special Issue
Synergies and Trade-Offs in the Production of NWFPs Predicted in Boreal Forests
Open AccessArticle

Combining Decision Support Approaches for Optimizing the Selection of Bundles of Ecosystem Services

1
Forest Research Centre, School of Agriculture, University of Lisbon, Tapada da Ajuda, 1349-017 Lisboa, Portugal
2
US Department of Agriculture, Forest Service, Pacific Northwest Research Station, Corvallis Forestry Sciences Laboratory, 3200 SW Jefferson Way, Corvallis, OR 97331, USA
3
School of Sciences and Technology, Mathematics Department, University of Evora Colégio Luís António Verney, Rua Romão Ramalho, 59, 7000-671 Évora, Portugal
*
Author to whom correspondence should be addressed.
Forests 2018, 9(7), 438; https://doi.org/10.3390/f9070438
Received: 24 May 2018 / Revised: 18 July 2018 / Accepted: 19 July 2018 / Published: 21 July 2018
This study examines the potential of combining decision support approaches to identify optimal bundles of ecosystem services in a framework characterized by multiple decision-makers. A forested landscape, Zona de Intervenção Florestal of Paiva and Entre-Douro and Sousa (ZIF_VS) in Portugal, is used to test and demonstrate this potential. The landscape extends over 14,388 ha, representing 1976 stands. The property is fragmented into 376 holdings. The overall analysis was performed in three steps. First, we selected six alternative solutions (A to F) in a Pareto frontier generated by a multiple-criteria method within a web-based decision support system (SADfLOR) for subsequent analysis. Next, an aspatial strategic multicriteria decision analysis (MCDA) was performed with the Criterium DecisionPlus (CDP) component of the Ecosystem Management Decision Support (EMDS) system to assess the aggregate performance of solutions A to F for the entire forested landscape with respect to their utility for delivery of ecosystem services. For the CDP analysis, SADfLOR data inputs were grouped into two sets of primary criteria: Wood Harvested and Other Ecosystem Services. Finally, a spatial logic-based assessment of solutions A to F for individual stands of the study area was performed with the NetWeaver component of EMDS. The NetWeaver model was structurally and computationally equivalent to the CDP model, but the key NetWeaver metric is a measure of the strength of evidence that solutions for specific stands were optimal for the unit. We conclude with a discussion of how the combination of decision support approaches encapsulated in the two systems could be further automated in order to rank several efficient solutions in a Pareto frontier and generate a consensual solution. View Full-Text
Keywords: decision support; multicriteria decision analysis; multiple-criteria Pareto frontier methods; Criterium DecisionPlus; NetWeaver Developer; SADfLOR; Ecosystem Management Decision Support System decision support; multicriteria decision analysis; multiple-criteria Pareto frontier methods; Criterium DecisionPlus; NetWeaver Developer; SADfLOR; Ecosystem Management Decision Support System
Show Figures

Figure 1

MDPI and ACS Style

Marto, M.; Reynolds, K.M.; Borges, J.G.; Bushenkov, V.A.; Marques, S. Combining Decision Support Approaches for Optimizing the Selection of Bundles of Ecosystem Services. Forests 2018, 9, 438.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop