Forest Growth and Yield Modeling

Weiskittel, Aaron R.; Hann, David W.; Kershaw, John A.; Vanclay, Jerome K.

doi:10.1002/9781119998518

Cited by 490 publications

(473 citation statements)

References 4 publications

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“…Therefore, growth estimates for a particular tree size class may involve large errors. On the other hand, single-tree models have a better ability to represent complex forest structures and selective cuttings in the long run (Weiskittel et al 2011).…”

Section: Discussionmentioning

confidence: 99%

Application and limitations of growth models for silvicultural purposes in heterogeneously structured forest in Sweden

Drößler¹,

Fahlvik²,

Elfving³

2013

J. For. Sci.

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ABSTRACT:The paper addresses the problem of estimating future stand development in heterogeneously structured forests in Sweden; specifically, multi-layered spruce stands and mature pine stands with advanced spruce undergrowth. We first introduce various supporting concepts and models with their empirical databases, model validation and constraints. Secondly, Swedish single-tree growth functions designed for more heterogeneously structured forest are tested using data from inventory plots, a thinning experiment in an uneven-aged forest stand, and yield plots in pristine forest. Future growth of a managed, multi-layered forest was simulated and is compared with other selected functions. Simulation results, expected errors and time constraints are discussed. For most models, projected stand basal area growth deviated 10-20% from the observed growth in individual stands. In single stands, the deviation ranged from 0 to 60%. Validation periods were often 5-15 years, sometimes even more than 30 years. For Swedish single-tree basal area growth functions, on average, a 5% overestimate was found for heterogeneously structured forest across Sweden. Observed growth in a boreal single-tree selection forest was underestimated by 12.5% fifteen years after thinning from above.

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Section: Discussionmentioning

confidence: 99%

Application and limitations of growth models for silvicultural purposes in heterogeneously structured forest in Sweden

Drößler¹,

Fahlvik²,

Elfving³

2013

J. For. Sci.

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“…Así, el modelado del crecimiento de los árboles puede expresarse por una función "potencial-modificadora" (Zhang et al 2004), pues el resultado lleva en cuenta la interacción de dos factores: la multiplicación de su potencial biótico por un reductor que caracteriza los factores ambientales (Hasenauer 2006). La función del crecimiento potencial y modificadora representa el máximo posible en niveles de tasas de crecimiento, y los modificadores son una función del tamaño del árbol, de las condiciones del sitio, competencia y proporción de la copa (Weiskittel et al 2011).…”

Section: Introductionunclassified

Estructura y crecimiento de los bosques de Araucaria angustifolia en el sur de Brasil

Costa

Hess

Finger³

2017

Bosque (Valdivia)

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SUMMARYThe growth of individual trees can be simulated by multiplying a function that describes the potential by another modifier, the "modifying-potential". Modeling of the potential function for trees growing without competition determines the limit of optimum growth to species, while a modifying function sets the decrease component taking in consideration the influence of environmental factors. Thus, the aim of the study was to adjust the modifier function to describe the periodic increment in the basal area of Araucaria angustifolia trees in sites with Araucaria Forest in southern Brazil. For this, we sampled 397 individual trees. Dendrometric and morphometric variables, competition indices and increment in diameter with the chronology of widths of the growth ring were measured. Periodic increment in basal area was described by a logarithmic function that explained 57 % of variance and correlated with the diameter at the beginning of the period, height, variable of crown size and competition indices. Results indicate that the modifier function can be used accurately to explain changes in growth and spatial and temporal structure of the species in the Araucaria Forest.Key words: Parana pine, predicting growth, reductive function, forest management. RESUMENEl crecimiento de los árboles individuales se puede simular multiplicando una función que describe su potencial por otra modificadora "potencial-modificadora". El modelado de la función potencial para árboles creciendo sin competencia determina el límite de crecimiento óptimo para una especie, mientras que la función modificadora establece el componente de descenso teniendo en cuenta la influencia de factores ambientales. Así, el objetivo del estudio fue ajustar la función modificadora para describir el incremento periódico en el área basal de árboles de Araucaria angustifolia en sitios de bosques con araucaria en el sur de Brasil. Para eso, se tomaron muestras de 397 árboles individuales y se midieron sus variables dendrométricas, morfométricas, sus índices de competencia y su incremento en diámetro con la cronología de los anchos de anillos de crecimiento. El incremento periódico en el área basal fue descripto por una función logarítmica que explicó el 57 % de la varianza y se correlaciona con el diámetro al inicio del periodo, altura, variable de dimensión de la copa y el índice de la competencia. Los resultados indican que se puede utilizar la función modificadora con precisión para explicar los cambios en el crecimiento, en la estructura espacial y temporal de la especie en el bosque de araucaria.Palabras clave: pino brasileño, predicción del crecimiento, función reductora, manejo forestal. INTRODUCCIÓNAraucaria angustifolia (Bertol.) Kuntze (araucaria) es un árbol del bosque de araucaria en América del Sur. La araucaria es una especie pionera, intolerante a la sombra y domina el estrato superior del dosel. Originalmente los bosques de araucarias ocuparon 177.600 km² en Brasil y en Argentina 2.100 km² (Giraudo et al. 2003) en un intervalo que incluye la...

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“…The ideas are not new, and are routinely applied in other areas. But perhaps due to unfamiliarity and entrenched traditions, their adoption in forest modelling has been slow (Weiskittel et al, 2011, Burkhart & Tomé, 2012. A non-technical explanation of the basic concepts is presented here.…”

Section: Introductionmentioning

confidence: 99%

Forest Stands as Dynamical Systems: An Introduction

Garćıa¹

2013

MAS

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Forest management planning relies heavily on mathematical models that involve time. Concerns about climate change and ecosystem services have highlighted the limitations of traditional growth and yield prediction tools. Modern dynamical system theory provides a framework for a flexible representation of varying environments, as well as of responses to intensive silviculture and natural disturbances. Emphasis changes from trying to directly model functions of time to modelling rates of change. The fundamental concepts are introduced here in a non-technical manner. The theory is illustrated with a recent whole-stand growth model for even-aged stands, but it is noted that it applies to any system that evolves over time. It is shown also how a modular approach can improve balance and efficiency in the development of such models.

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Forest Growth and Yield Modeling

Cited by 490 publications

References 4 publications

Application and limitations of growth models for silvicultural purposes in heterogeneously structured forest in Sweden

Application and limitations of growth models for silvicultural purposes in heterogeneously structured forest in Sweden

Estructura y crecimiento de los bosques de Araucaria angustifolia en el sur de Brasil

Forest Stands as Dynamical Systems: An Introduction

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