Simultaneous optimization of even flow and land and timber value in forest planning: a continuous approach

被引:2
|
作者
Gonzalez-Gonzalez, Jose M. [1 ]
Vazquez-Mendez, Miguel E. [2 ]
Dieguez-Aranda, Ulises [1 ]
机构
[1] Univ Santiago de Compostela, Escola Politecn Super Enxenaria, Dept Enxenaria Agroforestal, R Benigno Ledo, Lugo 27002, Spain
[2] Univ Santiago de Compostela, Escola Politecn Super Enxenaria, Inst Matemat, Dept Matemat Aplicada, R Benigno Ledo, Lugo 27002, Spain
关键词
Even-aged forest management; Forest-level optimization; Continuous optimization; Gradient-type algorithms; INTEGER PROGRAMMING-MODEL; TABU SEARCH; MARITIME PINE; GROWTH-MODEL; MANAGEMENT; WILDLIFE; ALGORITHM; SUBJECT; SINGLE;
D O I
10.1186/s40663-021-00325-9
中图分类号
S7 [林业];
学科分类号
0829 ; 0907 ;
摘要
Background Forest management planning involves deciding which silvicultural treatment should be applied to each stand and at what time to best meet the objectives established for the forest. For this, many mathematical formulations have been proposed, both within the linear and non-linear programming frameworks, in the latter case generally considering integer variables in a combinatorial manner. We present a novel approach for planning the management of forests comprising single-species, even-aged stands, using a continuous, multi-objective formulation (considering economic and even flow) which can be solved with gradient-type methods. Results The continuous formulation has proved robust in forest with different structures and different number of stands. The results obtained show a clear advantage of the gradient-type methods over heuristics to solve the problems, both in terms of computational time (efficiency) and in the solution obtained (effectiveness). Their improvement increases drastically with the dimension of the problem (number of stands). Conclusions It is advisable to rigorously analyze the mathematical properties of the objective functions involved in forest management planning models. The continuous bi-objective model proposed in this paper works with smooth enough functions and can be efficiently solved by using gradient-type techniques. The advantages of the new methodology are summarized as: it does not require to set management prescriptions in advance, it avoids the division of the planning horizon into periods, and it provides better solutions than the traditional combinatorial formulations. Additionally, the graphical display of trade-off information allows an a posteriori articulation of preferences in an intuitive way, therefore being a very interesting tool for the decision-making process in forest planning.
引用
收藏
页数:14
相关论文
共 50 条
  • [21] A Continuous Optimization Approach for Efficient and Accurate Scene Flow
    Lv, Zhaoyang
    Beall, Chris
    Alcantarilla, Pablo F.
    Li, Fuxin
    Kira, Zsolt
    Dellaert, Frank
    COMPUTER VISION - ECCV 2016, PT VIII, 2016, 9912 : 757 - 773
  • [22] Incorporating stakeholder values into regional forest planning: a value function approach
    Ananda, J
    Herath, G
    ECOLOGICAL ECONOMICS, 2003, 45 (01) : 75 - 90
  • [23] Stochastic optimization models in forest planning: a progressive hedging solution approach
    Badilla Veliz, Fernando
    Watson, Jean-Paul
    Weintraub, Andres
    Wets, Roger J. -B.
    Woodruff, David L.
    ANNALS OF OPERATIONS RESEARCH, 2015, 232 (01) : 259 - 274
  • [24] AN IMPLICIT EXPLICIT APPROACH TO MULTIOBJECTIVE OPTIMIZATION WITH AN APPLICATION TO FOREST MANAGEMENT PLANNING
    HARRISON, TP
    ROSENTHAL, RE
    DECISION SCIENCES, 1988, 19 (01) : 190 - 210
  • [25] Stochastic optimization models in forest planning: a progressive hedging solution approach
    Fernando Badilla Veliz
    Jean-Paul Watson
    Andres Weintraub
    Roger J.-B. Wets
    David L. Woodruff
    Annals of Operations Research, 2015, 232 : 259 - 274
  • [26] Value Network of Amazon Non Timber Forest Products: A Mapping Tool to Support a Complex Network Strategic Planning
    Straatmann, Jeferson
    Gerolamo, Mateus Cecilio
    Ribeiro Carpinetti, Luiz Cesar
    ADAPTATION AND VALUE CREATING COLLABORATIVE NETWORKS, 2011, 362 : 77 - 84
  • [27] Simultaneous optimization of path planning and flow shop scheduling by bacterial memetic algorithm
    Botzheim, Janos
    Toda, Yuichiro
    Kubota, Naoyuki
    PROCEEDINGS OF THE SEVENTEENTH INTERNATIONAL SYMPOSIUM ON ARTIFICIAL LIFE AND ROBOTICS (AROB 17TH '12), 2012, : 512 - 515
  • [28] A Continuous Adjoint Approach to Shape Optimization for Navier Stokes Flow
    Brandenburg, Christian
    Lindemann, Florian
    Ulbrich, Michael
    Ulbrich, Stefan
    OPTIMAL CONTROL OF COUPLED SYSTEMS OF PARTIAL DIFFERENTIAL EQUATIONS, 2009, 158 : 35 - +
  • [29] A multiobjective approach to strategic forest planning: Defining the desired future land-use patterns for a forest station
    Lin, Wen-Pin
    Feng, Fong-Long
    Taiwan Journal of Forest Science, 2007, 22 (03): : 253 - 263
  • [30] Value chain planning optimization: a data driven digital twin approach
    Ferranti, F.
    Manenti, F.
    Vingerhoets, G.
    Vallerio, M.
    IFAC PAPERSONLINE, 2021, 54 (03): : 572 - 577