Multi-criteria decision models for forestry and natural resources management: an annotated bibliography

Steiguer, J. E. de; Liberti, Leslie; Schuler, Albert T.; Hansen, Bruce G.

doi:10.2737/ne-gtr-307

Cited by 29 publications

(27 citation statements)

References 80 publications

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“…The result has been that the primary objective is a commodity focus such as maximizing the net present value of future timber harvests, where conservation goals are simply entered as constraints (e.g., Endangered Species Act requirements and Wilderness area acreage). The resulting modeler bias, along with spatial limitations and missing biophysical response measurements make linear programming models incapable of capturing the total economic value of management decisions (Morton 1999) and have contributed to a publicly perceived "black box" approach to forest management (de Steiguer et al 2003).…”

Section: Introductionmentioning

confidence: 99%

Willingness to pay for ecosystem conservation in Alaska’s Tongass National Forest: a choice modeling study

Hjerpe¹,

Hussain²

2016

E&S

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ABSTRACT. Forest ecosystems contribute to human welfare in important ways, but because of the nonmarket nature of many of the goods and services produced, both markets and governments fail to optimize their production commensurate with their economic and ecological significance. Despite the recent proliferation of nonmarket environmental valuation in the literature, the incorporation of nonmarket values into public forest decision making has been limited by institutional and methodological barriers. To address this disconnect, we conducted a case study to quantify conservation values for the Tongass National Forest in a manner conducive for public forest planning. A choice experiment featuring proposed forest management alternatives with changes in critical attributes relative to their levels in the status quo was used to generate the requisite data. Econometric analysis suggests that Alaskans have strong preference for conservation management, including both preservation and ecological restoration, over status quo or exploitation management. However, there is significant heterogeneity among Alaskans in terms of bias toward the status quo depending on their socioeconomic characteristics, e.g., gender, age, place of residence, household income, whether or not they have dependent children. The findings of this study can be helpful to forest managers in the preparation of resource management plans consistent with maximization of total economic value of forest ecosystem services.

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Section: Introductionmentioning

confidence: 99%

Willingness to pay for ecosystem conservation in Alaska’s Tongass National Forest: a choice modeling study

Hjerpe¹,

Hussain²

2016

E&S

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“…These techniques may also be used within a multi-criteria decision analysis framework to help assess strategies and plans (e.g. Díaz-Balteiro and Romero, 2008;De Steiguer et al, 2003;Sheppard and Meitner, 2005;Tecle et al, 1998;Schmoldt et al, 2001;Nordström et al, 2009).…”

mentioning

confidence: 99%

A participatory approach to design a toolbox to support forest management planning at regional level

Marques

Borges²,

García-Gonzalo³

et al. 2013

For. syst.

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Aim of the study: Forest management planning in a region typically involves multiple stakeholders. Decisions processes are idiosyncratic, driven by individual goals and supported by segmented forest-based information. Nevertheless, stakeholders’ decisions do impact one another leading to complex interaction networks where communication, cooperation and negotiation play a key role. This research addresses the need to develop decision tools to support these roles. Emphasis is on the integration of participatory planning tools and techniques in the architecture of a regional decision support toolbox.Area of the study: The proposed approach was applied in the Chamusca County in Central Portugal although it is easily extended to other regions.Material and methods: This research proposes an Enterprise Architecture methodological approach to design a toolbox that may address distinct stakeholders’ interests and decision processes, while enabling communication, cooperation, negotiation and information sharing among all those involved in the regional interactions network.Main results: the proposed approach was tested in a regional network involving decision processes and information shared by 22 entities clustered into 13 stakeholders groups, including industrial owners, and non-industrial private forestland owners (NIPF) - acting individually or grouped into associations and federations -, national and regional offices of the forest authority, forest services providers, non-governmental organizations and research centers. Results suggest that the proposed approach may provide a toolbox that may effectively address stakeholders’ decision processes and goals and support the regional interaction network.Key-words: forest management; multiple stakeholders; decision support systems; enterprise architecture; participatory process.

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“…Early studies applying LGP include Chisman and Rippy (1979), Kao and Brodie (1979), and Marten and Sancholuz (1982), while those applying WGP include Dane et al (1977), Bazaraa and Bouzaher (1981), and Sandiford (1986). Several reviews have been published over the last decades to survey applications of GP in the natural resource management field; among others, a discussion of earlier works can be found in Romero and Rehman (1987) while discussions of more recent studies can be found in Steiguer et al (2003) and Mendoza and Martins (2006). We thus restrict our discussion to applications published over the last ten years or so.…”

Section: Applications In Strategic Managementmentioning

confidence: 99%

Multi-criteria decision analysis with goal programming in engineering, management and social sciences: a state-of-the art review

2015

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Goal programming (GP) is an important class of multi-criteria decision models widely used to analyze and solve applied problems involving conflicting objectives. Originally introduced in the 1950s by Charnes et al. (Manag Sci 2:138-151, 1955) the popularity and applications of GP has increased immensely due to the mathematical simplicity and modeling elegance. Over the recent decades algorithmic developments and computational improvements have greatly contributed to the diverse applications and several variants of GP models. In this paper we present a state of the art literature review on GP applications in three selected (prominent and popular) areas, namely engineering, management and social sciences. Forthcoming in Annals of Operations ResearchAbstract Goal programming (GP) is an important class of multi-criteria decision models widely used to analyze and solve applied problems involving conflicting objectives. Originally introduced in the 1950s by Charnes et al. (1955) the popularity and applications of GP has increased immensely due to the mathematical simplicity and modeling elegance. Over the recent decades algorithmic developments and computational improvements have greatly contributed to the diverse applications and several variants of GP models. In this paper we present a state of the art literature review on GP applications in three selected (prominent and popular) areas, namely engineering, management and social sciences.

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Multi-criteria decision models for forestry and natural resources management: an annotated bibliography

Cited by 29 publications

References 80 publications

Willingness to pay for ecosystem conservation in Alaska’s Tongass National Forest: a choice modeling study

Willingness to pay for ecosystem conservation in Alaska’s Tongass National Forest: a choice modeling study

A participatory approach to design a toolbox to support forest management planning at regional level

Multi-criteria decision analysis with goal programming in engineering, management and social sciences: a state-of-the art review

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Multi-criteria decision models for forestry and natural resources management: an annotated bibliography

Cited by 29 publications

References 80 publications

Willingness to pay for ecosystem conservation in Alaska&#8217;s Tongass National Forest: a choice modeling study

Willingness to pay for ecosystem conservation in Alaska&#8217;s Tongass National Forest: a choice modeling study

A participatory approach to design a toolbox to support forest management planning at regional level

Multi-criteria decision analysis with goal programming in engineering, management and social sciences: a state-of-the art review

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Product

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Willingness to pay for ecosystem conservation in Alaska’s Tongass National Forest: a choice modeling study

Willingness to pay for ecosystem conservation in Alaska’s Tongass National Forest: a choice modeling study