Bridging process-based and empirical approaches to modeling tree growth

Valentine, Harry T.; Mäkelä, Annikki

doi:10.1093/treephys/25.7.769

Cited by 105 publications

(98 citation statements)

References 34 publications

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“…Valentine and Mäkelä, 2005;Pinjuv et al, 2006;García-Quijano et al, 2005). An operative hybrid model study was conducted by Matala et al (2005Matala et al ( , 2006, who incorporated climate-change impacts from the process-based FinnFor model (Kellomäki et al, 1993) to the empirical MOTTI and MELA simulators (Hynynen et al, 2002).…”

Section: Hybrid Simulationmentioning

confidence: 99%

Simulation tools for decision support to adaptive forest management in Europe

Muys

Hynynen²,

Palahí

et al. 2010

For. syst.

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In forest management there is a tendency towards measuring more cost-effective and simulating more. In this context the development of reliable, user friendly forest simulators has become economically relevant. The objective of this perspective paper is to highlight the recent trends in forest simulation and to identify the remaining challenges to make forest simulation a reliable tool for forest policy and management.Experiences with forest simulators for various purposes in different geographical contexts illustrate how the important challenges of forest decision support can be addressed through flexible customization for different end-user categories, offering spatially explicit approaches at the landscape scale, and integrating empirical and mechanistic models in hybrid and bayesian simulation approaches.Recent development trends in forest simulation for decision support are mainly related to the ever increasing calculation speed and capacity of computers, facilitating the development of robust tools with comfortable user interface and realistic functions and options. Another trend is the combination of simulation tools with optimization and choice algorithms fading away the difference between simulators and decision support systems.The remaining challenges are basically in the high expectations of stakeholders concerning the ability of simulators to predict a range of outcomes in terms of ecosystem services and sustainability indicators, as well as the quality of their outcome in terms of output credibility to stakeholders. Need for accepted and realistic model validation and verification methods preferably using empirical data is crucial in this matter.Key words: multi-objective forest planning; forest model; simulator; decision support system; climate change. ResumenHerramientas de simulación para el apoyo de toma de decisiones en la gestión forestal adaptativa en Europa En la planificación de la gestión forestal existe la tendencia a medir menos y similar más. En este contexto, el desarrollo de simuladores forestales es económicamente relevante para el gestor. El objetivo de este artículo es el de discutir y enfatizar tendencias en el ámbito de la simulación forestal e identificar retos importantes para que la simulación forestal sea una herramienta fiable en el proceso decisorio de la planificación forestal y en el de desarrollo de *

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Section: Hybrid Simulationmentioning

confidence: 99%

Simulation tools for decision support to adaptive forest management in Europe

Muys

Hynynen²,

Palahí

et al. 2010

For. syst.

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“…Carbon-based models of individual tree growth have been developed and a critical revision has been made by Le Roux et al (2001). Bridging process-based and empirical approaches to modelling tree growth, in part by the use of a common model, have been recently formulated (Valentini & Mäkelä, 2005).…”

Section: Productivity and Modellingmentioning

confidence: 99%

Ecophysiology, a meeting point between function and management of forest ecosystems

Pardos

2005

For. syst.

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The paper begins with a brief history of botany leading to the first descriptions on plant life phenomena. It then moves on to plant physiology as a science with a proper identity in the XVIII century. The works by Duhamel du Monceau and the German forester Robert Hartig are pointed out as landmarks on the way to the future ecophysiology of trees. The Symposium «The Physiology of Forest Trees», held in 1957 at the Harvard Forest, is also remarked as a step forward in the incorporation of forest trees as experimental material and the application of modern techniques in Plant Physiology. Thereafter, some topics in Ecophysiology, relevant for process-based forest management, are briefly reviewed. Tree canopy as a radiation collector and primary production factory of forest stands, carbon balance and allocation in trees, water and mineral nutrition, and modelling are the matters dealt with.Key words: tree physiology, ecophysiological parameters, forest ecosystem management. Resumen La Ecofisiología, nexo de unión entre el funcionamiento y la gestión de los ecosistemas forestalesSe hace un sucinto recorrido por la Botánica en su andadura a lo largo de los siglos para abocar a las primeras observaciones de fenómenos vitales de las plantas, que confluirán en la configuración con entidad propia de la Fisiología Vegetal en el siglo XVIII. Se destaca, por su específica referencia a los árboles, la obra de Duhamel de Monceau y, de manera especial, la del profesor de selvicultura Roberto Hartig, cuyas agudas descripciones del comportamiento funcional en monte de diversos especímenes forestales pueden enmarcarse en los prolegómenos de lo que mas de cien años más tarde constituirá la ecofisiología forestal. Se destaca, a continuación, el Simposio «The Physiology of Forest Trees» celebrado en 1957 en «Harvard Forest», que constituyó un paso importante en la incorporación de los árboles forestales como material experimental y aplicación de las técnicas modernas de fisiología vegetal a los mismos. Finalmente, se pasa revista a algunos aspectos actuales de Ecofisiología, destacando conceptos y aspectos de la misma y su proyección en la gestión de los ecosistemas forestales. Se subraya la especial significación del dosel arbóreo, perceptor de la radiación y maquinaria primaria de la producción del rodal forestal, el balance de carbono y su reparto en los árboles, el papel del agua y la nutrición mineral y los modelos de estimación de la productividad forestal basados en procesos fisiológicos.Palabras clave: fisiología, parámetros ecofisiológicos, gestión de ecosistema forestal. In the beginningLa capacidad para comprender el mundo depende del conocimiento acumulado (Jorge Wagensberg, 2004) Plant study is as old as humanity. Although Aristotle is considered the founder of Natural Sciences teaching, it is his disciple Theofrastus (born c.370 B.C.) who transmitted two treatises about botany, «A natural history of plants» and «On the Causes of Plants». He did the first classification of plants in trees, bushes, shrubs and h...

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“…Through the combination, shortcomings of the empirical and process-based approaches may be ameliorated (Landsberg 2003, Monserud 2003, providing both traditional outputs for forest managers as well as estimates of carbon sequestration, whilst reducing the uncertainty in model outputs that occurs in complex process modelling (Valentine & Mäkelä 2005). Additionally, prediction precision may be improved by using a hybrid approach which can deal with changes in growing environment not represented in empirical models (Pinjuv et al 2006).…”

Section: Introductionmentioning

confidence: 99%

“…There are a number of hybrid models which have been applied for varied species and locations globally (Valentine & Mäkelä 2005, Weiskittel et al 2009a, Mason et al 2011. Perhaps the most widely applied hybrid model is Physiological Principles Predicting Growth (3PG) developed by Landsberg & Waring (1997).…”

Section: Introductionmentioning

confidence: 99%

“…Additionally, prediction precision may be improved by using a hybrid approach which can deal with changes in growing environment not represented in empirical models (Pinjuv et al 2006). There are a number of hybrid models which have been applied for varied species and locations globally (Valentine & Mäkelä 2005, Weiskittel et al 2009a, Mason et al 2011. Perhaps the most widely applied hybrid model is Physiological Principles Predicting Growth (3PG) developed by Landsberg & Waring (1997).…”

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confidence: 99%

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A comparison of models for quantifying growth and standing carbon in UK Scots pine forests

Lonsdale

Xenakis²,

Mencuccini

et al. 2015

iForest

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© iForest -Biogeosciences and Forestry IntroductionThe combination of both spatial scale and rotation length of forest stands mean that models of forest growth are essential for sustainable management (Blanco et al. 2008). Historically this has been achieved using yield models which use empirical relations between state variables such as top height, basal area, and number of stems to forecast stand development and timber volume production (Vanclay 1994). For example, in the UK there is widespread use of the yield tables of Edwards & Christie (1981) provided through a lookup package ForestYield. Increased emphasis on providing a multifunction forest resource (Nijnik & Mather 2007) has meant that such models have had to be applied to activities such as carbon storage reporting (Dyson et al. 2009). However, forest managers focusing on multi-function management are in turn more likely to deviate from management regimes aimed only at maximising timber production. Another shortcoming of such yield tables is that they fail to be linked causally to the drivers of productivity such as climate and nutrient availability, and are unable to account for changes in these drivers as might be expected in a changing climate (Monserud 2003). A shift to more flexible forest models is appropriate to accommodate for changes in environment or management objectives.Hybrid models combine both empirical and process based modelling approaches: using simple mathematical relationships between stand variables, and representations of the underlying ecophysiological processes in stand development respectively. Through the combination, shortcomings of the empirical and process-based approaches may be ameliorated (Landsberg 2003, Monserud 2003, providing both traditional outputs for forest managers as well as estimates of carbon sequestration, whilst reducing the uncertainty in model outputs that occurs in complex process modelling (Valentine & Mäkelä 2005). Additionally, prediction precision may be improved by using a hybrid approach which can deal with changes in growing environment not represented in empirical models (Pinjuv et al. 2006).There are a number of hybrid models which have been applied for varied species and locations globally (Valentine & Mäkelä 2005, Weiskittel et al. 2009a, Mason et al. 2011. Perhaps the most widely applied hybrid model is Physiological Principles Predicting Growth (3PG) developed by Landsberg & Waring (1997). It uses physiological principles as the basis for a relatively simple process-based model that can provide forest managers with stand variables as well as estimates of carbon fixation. The model works in three stages: derivation of primary production, partitioning the production to above and below ground portions, and derivation of output variables . . However, while 3PG has the potential to be used over large areas where it has not been calibrated (Almeida et al. 2010), it still requires a large number of parameters to be measured or estimated (both climatic and in the stand). This may increase both mode...

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Bridging process-based and empirical approaches to modeling tree growth

Cited by 105 publications

References 34 publications

Simulation tools for decision support to adaptive forest management in Europe

Simulation tools for decision support to adaptive forest management in Europe

Ecophysiology, a meeting point between function and management of forest ecosystems

A comparison of models for quantifying growth and standing carbon in UK Scots pine forests

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