Advancing forest planning: reflections on the Otway Forest Management Planning Project

1995 ◽  
Vol 58 (2) ◽  
pp. 23-30 ◽  
Author(s):  
J. Dargavel ◽  
J. Holden ◽  
R. P. Brinkman ◽  
B. J. Turner
2010 ◽  
Vol 27 (4) ◽  
pp. 140-150
Author(s):  
Horacio Gilabert ◽  
Phillip J. Manning ◽  
Marc E. McDill ◽  
Steve Sterner

Abstract Models to predict gross and net sawtimber volume per acre for even-aged stands were calibrated for Pennsylvania forests as part of a continuing forest management planning project for Pennsylvania's 2.1 million acres of state forestland. Because of the requirements of the models and limitations of the planning data, the main variable driving the yield models was age. Binary variables were used to shift the sawtimber volume predictions up or down to differentiate yields for 3 site classes, 2 stocking classes, 7 forest types, and 10 ecological regions within the state. The models were fitted using plot-level observations from a continuous forest inventory that has been carried out by the Pennsylvania Department of Conservation and Natural Resources Bureau of Forestry since the 1960s. To apportion the total volume into species groups, proportions were derived of the total sawtimber volume per acre for seven different species groups by forest type and site class for four macro-regions aggregated from the ecological regions within Pennsylvania.


2021 ◽  
Vol 8 (1) ◽  
Author(s):  
José M. González-González ◽  
Miguel E. Vázquez-Méndez ◽  
Ulises Diéguez-Aranda

Abstract 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.


2021 ◽  
Author(s):  
José Mario González-González ◽  
Miguel Ernesto Vázquez-Méndez ◽  
Ulises Diéguez-Aranda

Abstract 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, does not require to set management prescriptions in advance, and avoids the division of the planning horizon into periods, providing better solutions than the traditional combinatorial formulations. The graphical display of trade-off information allows a posteriori articulation of preferences in an intuitive way, therefore being a very interesting tool for the decision-making process in forest planning.


2008 ◽  
Vol 42 (1) ◽  
pp. 37-48 ◽  
Author(s):  
Emin Zeki Baskent ◽  
Salih Terzioğlu ◽  
Şağdan Başkaya

FLORESTA ◽  
2014 ◽  
Vol 45 (2) ◽  
pp. 433
Author(s):  
José Das Dores De Sá Rocha ◽  
José Arimatéa Silva ◽  
Vitor Afonso Hoeflich ◽  
Francisco Carneiro Barreto Campello

As instituições dos estados do Nordeste que assumiram a gestão florestal foram diagnosticadas pelo Ministério do Meio Ambiente em 2009. Decorrente deste estudo regional, o presente trabalho tem como objetivos: i) Caracterizar os instrumentos de política e de gestão florestal no estado do Maranhão; ii) Analisar o atual modelo de gestão florestal estadual. Os dados foram obtidos de fontes secundárias na rede mundial de computadores e através da aplicação de questionários em dois Seminários realizados no próprio estado. Os instrumentos de política e gestão florestal foram classificados segundo suas características legais, econômicas e administrativas afetas ao tema. O modelo de gestão florestal foi analisado com base no modelo de excelência em gestão pública, adaptado para o estudo. As principais conclusões foram: há conflitos legais de competências da gestão florestal no estado, entre a SEMA e a SEAGRO; a SEMA é responsável pela política e pela gestão florestal maranhense; uma Superintendência de Gestão Florestal, ainda não institucionalizada, estava, na prática operando a gestão florestal; planejamento, execução e controle da gestão florestal foram avaliados, de modo geral, em situação insatisfatória, tanto pelo público interno da SEMA quanto pelos seus usuários.Palavras-chave: Modelo de gestão florestal; descentralização; Nordeste do Brasil. AbstractForest management in the State of Maranhão, beyond decentralization. The institutions in the Northeastern states that assumed forest management were diagnosed by the Ministry of Environment in 2009. Due to this regional study, this paper aims to: i) characterize the fundamentals of policy and forest management in the state of Maranhão, ii) analyze the current model of state forest management. Data were obtained from secondary sources on the World Wide Web and through questionnaires in two seminars held within the state. The fundamentals of policy and forest management were characterized on the basis of legal instruments, administrative and economic sympathetic to the issue. The forest management model was analyzed based on the model of excellence in public management, adapted for the study. The main conclusions were: conflicts of legal jurisdiction in the state of forest management, and between SEAGRO and SEMA.SEMA is responsible for forest management policy and Maranhão, a Superintendent of Forest Management, not yet institutionalized, was in practice the operating forest management, planning, execution and control of forest management were evaluated, in general, an unsatisfactory situation, both the public and internal SEMA by its users.Keywords: Forest Management model; decentralization; Northeast of Brazil.


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