DOI: 10.3390/f11020224
论文题名: A progressive hedging approach to solve harvest scheduling problem under climate change
作者: Garcia-Gonzalo J. ; Pais C. ; Bachmatiuk J. ; Barreiro S. ; Weintraub A.
刊名: Forests
ISSN: 19994907
出版年: 2020
卷: 11, 期: 2 语种: 英语
英文关键词: Adjacency constraints
; Harvest scheduling
; Progressive hedging
; Stochastic programming
Scopus关键词: Ecosystems
; Global warming
; Harvesting
; Scheduling
; Stochastic programming
; Stochastic systems
; Adjacency constraints
; Anthropogenic ecosystems
; Climate change scenarios
; Eucalyptus forests
; Forest management planning
; Forest management plans
; Harvest scheduling
; Progressive hedging
; Forestry
; Eucalyptus
英文摘要: Due to the long time horizon typically characterizing forest planning, uncertainty plays an important role when developing forest management plans. Especially important is the uncertainty related to recently human-induced global warming since it has a clear impact on forest capacity to contribute to biogenic and anthropogenic ecosystem services. If the forest manager ignores uncertainty, the resulting forest management plan may be sub-optimal, in the best case. This paper presents a methodology to incorporate uncertainty due to climate change into forest management planning. Specifically, this paper addresses the problem of harvest planning, i.e., defining which stands are to be cut in each planning period in order to maximize expected net revenues, considering several climate change scenarios. This study develops a solution approach for a planning problem for a eucalyptus forest with 1000 stands located in central Portugal where expected future conditions are anticipated by considering a set of climate scenarios. The model including all the constraints that link all the scenarios and spatial adjacency constraints leads to a very large problem that can only be solved by decomposing it into scenarios. For this purpose, we solve the problem using Progressive Hedging (PH) algorithm, which decomposes the problem into scenario sub-problems easier to solve. To analyze the performance of PH versus the use of the extensive form (EF), we solve several instances of the original problem using both approaches. Results show that PH outperforms the EF in both solving time and final optimality gap. In addition, the use of PH allows to solve the most difficult problems while the commercial solvers are not able to solve the EF. The approach presented allows the planner to develop more robust management plans that incorporate the uncertainty due to climate change in their plans. © 2020 by the authors. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/159472
Appears in Collections: 气候变化与战略
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作者单位: Forest Science and Technology Centre of Catalonia, Solsona, Catalonia, 08930, Spain; Centro de Estudos Florestais, Instituto Superior de Agronomia, Universidade de Lisboa, Lisboa, 1500-020, Portugal; Ingenieria Industrial, Universidad de Chile, Santiago, 7591538, Chile; 4IEOR Department at UC Berkeley, California, CA 95101, United States; Centro de Estudos Florestais, Instituto Superior de Agronomia, Universidade de Lisboa, Lisboa, 1500-020, Portugal; Centro de Estudos Florestais, Instituto Superior de Agronomia, Universidade de Lisboa, Lisboa, 1500-020, Portugal; Ingenieria Industrial, Universidad de Chile, Santiago, 7591538, Chile
Recommended Citation:
Garcia-Gonzalo J.,Pais C.,Bachmatiuk J.,et al. A progressive hedging approach to solve harvest scheduling problem under climate change[J]. Forests,2020-01-01,11(2)