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4.01.02 - Growth models for tree and stand simulation



Crown structure as cause and effect in modeling tree growth, form, and wood quality

Technical Session C4d at the XXV IUFRO World Congress;
Curitiba, Brazil; 29 September - 5 October 2019.

Co-organizers: Doug Maguire (Oregon State University); Peter Newton (Natural Resources Canada)

Sponsors: 4.01.02 - Growth models for Tree and Stand Simulation; 5.01.08 - Understanding wood variability   

Crown attributes are key physiological determinants of tree growth which respond readily to silvicultural manipulations and mediate many aspects of stem allometry and stand structure, in turn dynamically influencing wood production, wood quality, and many other ecosystem services. Topics will cover mechanisms by which thinning, fertilization, and genetic manipulation influence crown structure; corresponding linkages to light capture, vertical distribution of stem increment, wind loading/damage, and micro- and macroanatomy of wood; and development of associated modelling solutions for quantifying these cause-and-effect loops. The session aims to integrate interactive responses and influences of crown structure at numerous levels through state-of-the-art multidisciplinary presentations.    

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Felipe Bravo, Spain


Mathieu Fortin, Canada

Woongsoon Jang, Canada

About Unit

Unit 4.01.02 is principally concerned with the theoretical, mathematical, statistical and computational aspects of growth and yield model development, specification, calibration, verification, simulation, computerization and application/deployment. Model forms include those developed for tropical, temperate and boreal forest types and cover the entire range of stand structural complexity. For example, these include individual-tree distance-dependent and distance-independent models, stand-level diameter distribution models and average stand-level models. Incorporating the impact of anthropogenic influences, such as thinning, forest fertilization, tree improvement, drainage, and climate change, on tree and stand growth through model refinement and adaptation is an evolving issue within this unit. Additionally, in response to the paradigmic shift towards value-based management occurring in many forest regions, a renewed focus on model development for predicting a wider range of management-relevant yield-based metrics including implicit and explicit measures of end-product potential and value continues. Facilitating, enabling and engaging in local, regional, national and global knowledge exchange activities through virtual and non-virtual-based workshops, conferences, presentations, on-site demonstrations, and publications, are important primary goals of this Unit.


State of Knowledge

  • Analytics for quantifying the impact of anthropogenic influences on growth and yield through model refinement and adaptation
  • Adapting to the paradigmic shift towards stand-level value-based management objectives via modelling innovations and modification including the development of prediction models for forecasting both volumetric-based and end-product-based outcome metrics
  • Linking and reconciling tree-level, size-class and stand-level models to ensure analytical consistency and predictive equivalence
  • Provision of solutions arising from the challenges of modelling of complex stand-types (see outputs)