Optimal management of naturally regenerating uneven-aged forests

Ankur Sinha, Janne Veli Ilmari Rämö, Pekka Malo, Markku Kallio, Olli Ilari Tahvonen

Tutkimustuotos: ArtikkelijulkaisuArtikkeliTieteellinenvertaisarvioitu

Kuvaus

A shift from even-aged forest management to uneven-aged management practices leads to a problem rather different from the existing straightforward practice that follows a rotation cycle of artificial regeneration, thinning of inferior trees and a clearcut. A lack of realistic models and methods suggesting how to manage uneven-aged stands in a way that is economically viable and ecologically sustainable creates difficulties in adopting this new management practice. To tackle this problem, we make a two-fold contribution in this paper. The first contribution is the proposal of an algorithm that is able to handle a realistic uneven-aged stand management model that is otherwise computationally tedious and intractable. The model considered in this paper is an empirically estimated size-structured ecological model for uneven-aged spruce forests. The second contribution is on the sensitivity analysis of the forest model with respect to a number of important parameters. The analysis provides us an insight into the behavior of the uneven-aged forest model.
Alkuperäiskielienglanti
LehtiEuropean Journal of Operational Research
Vuosikerta256
Numero3
Sivut886–900
Sivumäärä15
ISSN0377-2217
DOI - pysyväislinkit
TilaJulkaistu - 1 helmikuuta 2017
OKM-julkaisutyyppiA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä, vertaisarvioitu

Tieteenalat

  • 4112 Metsätiede
  • 512 Liiketaloustiede

Lainaa tätä

Sinha, Ankur ; Rämö, Janne Veli Ilmari ; Malo, Pekka ; Kallio, Markku ; Tahvonen, Olli Ilari. / Optimal management of naturally regenerating uneven-aged forests. Julkaisussa: European Journal of Operational Research. 2017 ; Vuosikerta 256, Nro 3. Sivut 886–900.
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title = "Optimal management of naturally regenerating uneven-aged forests",
abstract = "A shift from even-aged forest management to uneven-aged management practices leads to a problem rather different from the existing straightforward practice that follows a rotation cycle of artificial regeneration, thinning of inferior trees and a clearcut. A lack of realistic models and methods suggesting how to manage uneven-aged stands in a way that is economically viable and ecologically sustainable creates difficulties in adopting this new management practice. To tackle this problem, we make a two-fold contribution in this paper. The first contribution is the proposal of an algorithm that is able to handle a realistic uneven-aged stand management model that is otherwise computationally tedious and intractable. The model considered in this paper is an empirically estimated size-structured ecological model for uneven-aged spruce forests. The second contribution is on the sensitivity analysis of the forest model with respect to a number of important parameters. The analysis provides us an insight into the behavior of the uneven-aged forest model.",
keywords = "4112 Forestry, 512 Business and Management",
author = "Ankur Sinha and R{\"a}m{\"o}, {Janne Veli Ilmari} and Pekka Malo and Markku Kallio and Tahvonen, {Olli Ilari}",
year = "2017",
month = "2",
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doi = "10.1016/j.ejor.2016.06.071",
language = "English",
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pages = "886–900",
journal = "European Journal of Operational Research",
issn = "0377-2217",
publisher = "Elsevier Scientific Publ. Co",
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Optimal management of naturally regenerating uneven-aged forests. / Sinha, Ankur; Rämö, Janne Veli Ilmari; Malo, Pekka; Kallio, Markku; Tahvonen, Olli Ilari.

julkaisussa: European Journal of Operational Research, Vuosikerta 256, Nro 3, 01.02.2017, s. 886–900.

Tutkimustuotos: ArtikkelijulkaisuArtikkeliTieteellinenvertaisarvioitu

TY - JOUR

T1 - Optimal management of naturally regenerating uneven-aged forests

AU - Sinha, Ankur

AU - Rämö, Janne Veli Ilmari

AU - Malo, Pekka

AU - Kallio, Markku

AU - Tahvonen, Olli Ilari

PY - 2017/2/1

Y1 - 2017/2/1

N2 - A shift from even-aged forest management to uneven-aged management practices leads to a problem rather different from the existing straightforward practice that follows a rotation cycle of artificial regeneration, thinning of inferior trees and a clearcut. A lack of realistic models and methods suggesting how to manage uneven-aged stands in a way that is economically viable and ecologically sustainable creates difficulties in adopting this new management practice. To tackle this problem, we make a two-fold contribution in this paper. The first contribution is the proposal of an algorithm that is able to handle a realistic uneven-aged stand management model that is otherwise computationally tedious and intractable. The model considered in this paper is an empirically estimated size-structured ecological model for uneven-aged spruce forests. The second contribution is on the sensitivity analysis of the forest model with respect to a number of important parameters. The analysis provides us an insight into the behavior of the uneven-aged forest model.

AB - A shift from even-aged forest management to uneven-aged management practices leads to a problem rather different from the existing straightforward practice that follows a rotation cycle of artificial regeneration, thinning of inferior trees and a clearcut. A lack of realistic models and methods suggesting how to manage uneven-aged stands in a way that is economically viable and ecologically sustainable creates difficulties in adopting this new management practice. To tackle this problem, we make a two-fold contribution in this paper. The first contribution is the proposal of an algorithm that is able to handle a realistic uneven-aged stand management model that is otherwise computationally tedious and intractable. The model considered in this paper is an empirically estimated size-structured ecological model for uneven-aged spruce forests. The second contribution is on the sensitivity analysis of the forest model with respect to a number of important parameters. The analysis provides us an insight into the behavior of the uneven-aged forest model.

KW - 4112 Forestry

KW - 512 Business and Management

U2 - 10.1016/j.ejor.2016.06.071

DO - 10.1016/j.ejor.2016.06.071

M3 - Article

VL - 256

SP - 886

EP - 900

JO - European Journal of Operational Research

JF - European Journal of Operational Research

SN - 0377-2217

IS - 3

ER -