Introducing effects of temperature and CO2 elevation on tree growth into a statistical growth and yield model

Matala, Juho; Ojansuu, Risto; Peltola, Heli; Sievänen, Risto; Kellomäki, Seppo

doi:10.1016/j.ecolmodel.2004.06.030

Cited by 72 publications

(61 citation statements)

References 51 publications

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“…Furthermore, the parameterisation of the growth response is also species-specific. The data for the Go calculation are based on the simulations of a physiological growth and yield model applying the same methodology as Matala et al (2005). In these simulations, the growth of a single tree with an ample supply of water and nitrogen was calculated under varying atmospheric CO2 concentrations and under no shading in Finnish conditions.…”

Section: Sima Modelmentioning

confidence: 99%

Climate Change and Energy Systems

Björnsson¹,

Þorsteinsson²

2012

TemaNord

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Section: Sima Modelmentioning

confidence: 99%

Climate Change and Energy Systems

Björnsson¹,

Þorsteinsson²

2012

TemaNord

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“…Changes in temperature, precipitation, and atmospheric composition are likely to affect the growth and mortality of forest trees (Lenihan et al 2003, Matala et al 2005, Battles et al 2006, and thereby affect the ecological stability of forests. Forest responses to climate change can be both positive and negative, and can vary across latitudinal and altitudinal gradients, bioclimatic zones, and forest types .…”

Section: Introductionmentioning

confidence: 99%

“…Wieser et al 2009, Gimmi et al 2010) and at northern latitudes (e.g. Matala et al 2003Matala et al , 2005. Data for impacts on vegetation in Central European planar and colline zones are lacking.…”

Section: Introductionmentioning

confidence: 99%

Climate change impacts on growth and carbon balance of forests in Central Europe

et al. 2011

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We analysed climate change impacts on the growth and natural mortality of forest tree species and forest carbon (C) balance along an elevation gradient extending from the Pannonian lowland to the West Carpathian Mountains (Central Europe). Norway spruce Picea abies, European beech Fagus sylvatica, and oak Quercus sp. were investigated for 2 future time periods: 2021-2050 and 2071-2100. The period 1961-1990 was used as reference. Forest growth simulations were based on the SIBYLA tree growth simulator (an empirical model), and C cycle-related simulations were performed using BIOME-BGC (a process-based biogeochemical model). Growth simulations indicated that climate change will substantially affect the growth of spruce and beech, but not of oak, in Central Europe. Growth of spruce and beech in their upper distribution ranges was projected to improve, while drought-induced production decline was projected at the species' receding edges. Beech was the only species projected to decline critically at lower elevations. C cycle simulations performed for the zone of ecological optima of the 3 tree species indicated that these forests are likely to remain net carbon dioxide sinks in the future, although the magnitude of their sequestration capacity will differ. Increasing nitrogen deposition and atmospheric carbon dioxide concentration were projected to greatly affect the forest C cycle. A multi-model assessment based on SIBYLA and BIOME-BGC simulations performed for the zone of ecological optima suggested that oak production will either remain the same as in the reference period or will increase. Future production of beech seems uncertain and might decline, while spruce production is likely to increase. The results also confirmed the value of multi-model approaches for assessing future forest development under climate change.KEY WORDS: Norway spruce · European beech · Oak · Forest carbon cycle · Tree production · Tree mortality · BIOME-BGC model · SIBYLA tree growth simulator Resale or republication not permitted without written consent of the publisher

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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). The one-way link between Figure 3.…”

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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Introducing effects of temperature and CO2 elevation on tree growth into a statistical growth and yield model

Cited by 72 publications

References 51 publications

Climate Change and Energy Systems

Climate Change and Energy Systems

Climate change impacts on growth and carbon balance of forests in Central Europe

Simulation tools for decision support to adaptive forest management in Europe

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Introducing effects of temperature and CO2 elevation on tree growth into a statistical growth and yield model

Cited by 72 publications

References 51 publications

Climate Change and Energy Systems

Climate Change and Energy Systems

Climate change impacts on growth and carbon ­balance of forests in Central Europe

Simulation tools for decision support to adaptive forest management in Europe

Contact Info

Product

Resources

About

Climate change impacts on growth and carbon balance of forests in Central Europe