scholarly journals Realizing opportunities in forest growth modelling

2003 ◽  
Vol 33 (3) ◽  
pp. 536-541 ◽  
Author(s):  
Jerome K Vanclay
Keyword(s):  
Growth Models ◽  
New Technology ◽  
Forest Growth ◽  
Data Availability ◽  
Growth Modelling ◽  
Pertinent Information ◽  
New Sensors ◽  
Crown Dimensions ◽  
Forest Growth Models ◽  
Client Needs

The world is continually changing; the emergence of new technology and new demands for pertinent information pose new challenges and possibilities for forest management. Are forest growth models keeping up with client needs? To remain relevant, modelers need to anticipate client needs, gauge the data needed to satisfy these demands, develop the tools to collect and analyze these data efficiently, and resolve how best to deliver the resulting models and other findings. Researchers and managers should jointly identify and articulate anticipated needs for the future and initiate action to satisfy them. New technology that offers potential for innovation in forest growth modelling include modelling software, automated data collection, and animation of model outputs. New sensors in the sky and on forest machines can routinely provide data previously considered unattainable (e.g., tree coordinates, crown dimensions), as census rather than sample data. What does this revolution in data availability imply for forest growth models, especially for our choice of driving variables?

The Interlinked Mechanisms of Productivity for Developing Process‐Based Forest Growth Models

2021 ◽  
pp. 74-88
Author(s):  
Keshav Tyagi ◽  
Manoj Kumar ◽  
Sweta Nisha Phukon ◽  
Abhishek Ranjan ◽  
Pavan Kumar ◽  
...  
Keyword(s):  
Growth Models ◽  
Forest Growth ◽  
Forest Growth Models

scholarly journals Representation of species mixing in forest growth models. A review and perspective

2015 ◽  
Vol 313 ◽  
pp. 276-292 ◽  
Author(s):  
Hans Pretzsch ◽  
David I. Forrester ◽  
Thomas Rötzer
Keyword(s):  
Growth Models ◽  
Forest Growth ◽  
Forest Growth Models

scholarly journals Volume growth and survival graphs: a method for evaluating process-based forest growth models

2000 ◽  
Vol 20 (5-6) ◽  
pp. 357-365 ◽  
Author(s):  
R. Sievanen ◽  
M. Lindner ◽  
A. Makela ◽  
P. Lasch
Keyword(s):  
Growth Models ◽  
Volume Growth ◽  
Forest Growth ◽  
Growth And Survival ◽  
Forest Growth Models

Modifying Existing Forest Growth Models to Take Account of Effects of Elevated CO2

1992 ◽  
Vol 40 (5) ◽  
pp. 657 ◽  
Author(s):  
RE McMurtrie ◽  
HN Comins ◽  
MUF Kirschbaum ◽  
YP Wang
Keyword(s):  
Nutrient Cycling ◽  
Forest Canopy ◽  
Growth Models ◽  
Forest Growth ◽  
Process Models ◽  
C3 Plants ◽  
Carbon Gain ◽  
Biochemical Basis ◽  
Co2 Effects ◽  
Forest Growth Models

Most published process models of the growth of forest stands are concerned predominantly with either tree physiology or nutrient cycling, concentrating respectively on photosynthetic carbon gain and allocation, or on decomposition and nutrient uptake processes. Mechanistic formulations of direct CO2 effects on photosynthesis have been incorporated in some physiology-based models, whereas modifications incorporating direct CO2 effects in nutrient-driven models have usually been more empirical. Physiology-based models predict considerable CO2-fertiliser effects, while nutrient driven models tend to be less sensitive to elevated ambient CO2 concentration (Ca). This paper describes how effects of elevated Ca can be incorporated in these various types of forest growth models. The magnitude of the simulated response to elevated Ca varies markedly depending on a particular model's spatial and temporal resolution and on which processes are incorporated. Two physiology- based models of forest canopy processes (MAESTRO and BIOMASS) and a plant-soil model (G'DAY) are considered here. MAESTRO and BIOMASS incorporate mechanistic descriptions of the biochemical basis of photosynthesis by C3 plants, while G'DAY contains a simplified formulation but includes soil processes. All three models are used to simulate the response to an instantaneous doubling of Ca. Simulations of MAESTRO and BIOMASS show that on a clear day total canopy photsynthesis is temperature-dependent with increases of approximately 10, 45 and 70% at 10. 25 and 40°C respectively. A simulation for a stand of Pinus radiata growing with abundant water and nutrients and mean annual day-time temperature of 14.8°C shows an increase of 25% in annual canopy photosynthesis. On nutrient-limited sites plant responses to elevated Ca are constrained by feedbacks associated with rates of decomposition and nutrient cycling. According to the G'DAY model, which incorporates these feedbacks, an instantaneous doubling of Ca leads to a 27% initial productivity increase lasting less than a decade and a more modest increase of 8% sustained in the long term.

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