Productivity and optimal management of the uneven-aged hardwood forests of Hyrcania

Bayat, Mahmoud; Pukkala, Timo; Namiranian, M; Zobeiri, M

doi:10.1007/s10342-013-0714-1

Cited by 29 publications

(34 citation statements)

References 24 publications

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“…The strategies are then improved over generations by repetitively applying Selection, Crossover, Mutation and Replacement that is described later in this section. For few earlier studies where evolutionary computation techniques have been used in the context of forest management, the readers may refer to Bayat et al (2013), for instance.…”

Section: Level 1: Evolutionary Optimizationmentioning

confidence: 99%

Optimal management of naturally regenerating uneven-aged forests

Sinha

Rämö

Malo

et al. 2017

European Journal of Operational Research

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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.

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Section: Level 1: Evolutionary Optimizationmentioning

confidence: 99%

Optimal management of naturally regenerating uneven-aged forests

Sinha

Rämö

Malo

et al. 2017

European Journal of Operational Research

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“…Genetic algorithms have been developed recently [29][30][31] to optimise economic concerns at the stand level. Similar pmetaheuristics were recently demonstrated for maximisation of wood production [34] and forest structure [35] at the standlevel. Constraints in most of these models were of the operational type (e.g.…”

Section: Stand-level Optimisationmentioning

confidence: 71%

Optimisation in Forest Management

et al. 2016

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The field of forestry has employed various computer-assisted optimisation approaches since the early 1960s to address the efficient allocation of resources towards various forest management objectives. These approaches continue to evolve, and in the last 5 years, the research has expanded to demonstrate how complex, non-linear relationships can be recognised and incorporated into planning processes at the tree, stand, forest and landscape levels. In addition to an overview of the use of optimisation in forestry, we provide an examination of work published in the last 5 years from 30 international journals, worldwide, which consistently publish forestry and natural resource management research papers. Through this review, we found that landscape-level optimisation is a relatively new and expanding area of research, most often performed by one large public landowner in regions where the resulting plan of action has an effect on all landowners and resources. We also note that at the forest level, exact methods for optimising systems mainly continue to be used, and at the stand level, optimisation seems to now involve exploration of a variety of analytical methods. A large portion of the recent research in the optimisation of forest management have involved European forests, which is a function of large public ownership of land and the tradition and requirements for management planning, and roughly half of the effort has arisen from researchers located in Nordic countries (Denmark, Finland, Norway and Sweden).

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“…The northern, lower boundary of this section is situated at an elevation of 1010 m above mean sea level AMSL, while the highest elevation of this section is at 1380 m AMSL. About 80 tree species and 50 shrub species exist in the Kheyrud forest [22]. Based on the climate data from 1977-2005, the average annual precipitation in this area is 1397 mm (758 mm during the growing season) with October being the wettest (258 mm) and July the driest (33 mm) month.…”

Section: Study Area and Plot Networkmentioning

confidence: 99%

A Semi-empirical Approach Based on Genetic Programming for the Study of Biophysical Controls on Diameter-Growth of Fagus orientalis in Northern Iran

et al. 2019

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This paper examines the possible ecological controls on the diameter increment of oriental beech (Fagus orientalis Lipsky) in a high altitude forest in northern Iran. The main objectives of the study are computer-generated abiotic surfaces and associated plot estimates of (i) growing-season-cumulated potential solar radiation, (ii) seasonal air temperature, (iii) topographic wetness index in representing soil water distribution, and (iv) wind velocity generated from the simulation of fluid-flow dynamics in complex terrain. Plot estimates of the tree growth are based on averaged plot measurements of diameter at breast height increment during a growing period of nine years (2003–2012). Biotic variables related to the tree diameter increment involve averaged 2003 tree diameter and basal area measured in individual forest plots. In the modelling data (144 plots), the assemblage of modelled and observed site variables explained 75% of the variance in plot-level diameter increment. In the validation data (32 plots), the degree of explained variance was 77%. Mean tree diameter at breast height showed the strongest correlation with diameter increment, explaining 32% of the variation between-plot, followed by the configuration of topography and re-distribution of surface water (19.5%) and plot basal area (16.9%). On average, localised estimates of solar radiation and wind velocity potentially contribute to about 20% of the control on plot-level mean increment in oriental beech of the area. The results of the genetic programming showed that controlling the stand basal area and tree size by thinning and/or selective harvesting can have a favourable impact on the future distribution of mean diameter in oriental beech.

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Productivity and optimal management of the uneven-aged hardwood forests of Hyrcania

Cited by 29 publications

References 24 publications

Optimal management of naturally regenerating uneven-aged forests

Optimal management of naturally regenerating uneven-aged forests

Optimisation in Forest Management

A Semi-empirical Approach Based on Genetic Programming for the Study of Biophysical Controls on Diameter-Growth of Fagus orientalis in Northern Iran

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