A multicriteria stochastic optimization framework for sustainable forest decision making under uncertainty

Eduardo Álvarez-Miranda, Jordi Garcia-Gonzalo, Cristobal Pais and Andrés Weintraub

Forest Policy and Economics, 2019, vol. 103, issue C, 112-122

Abstract: A core process in forestry planning corresponds to the design of optimal harvesting policies along with road network layouts. In the most common setting, decision makers seek for solutions that maximize the profit of the forest while respecting operative and market constraints. Due to the long-term nature of the industry, the inherent uncertainty in both forest growth and market conditions should be taken into account. Nowadays, forest planning must target towards a sustainable management; the maximization of carbon sequestration and the minimization of land erosion are two common environmental goals.

Keywords: Forest management; Uncertainty; Multicriteria optimization; Stochastic programming; Risk management (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S138993411630346X
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:forpol:v:103:y:2019:i:c:p:112-122

DOI: 10.1016/j.forpol.2018.03.006

Access Statistics for this article

Forest Policy and Economics is currently edited by M. Krott

More articles in Forest Policy and Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().