Physiological growth model CASSIA predicts carbon allocation and wood formation of Scots pine

Pauliina Schiestl-Aalto Department of Forest Sciences, University of Helsinki
Liisa Kulmala Finnish Forest Research Institute
Harri Mäkinen Finnish Forest Research Institute
Tuomo Kalliokoski Department of Forest Sciences, University of Helsinki Finnish Forest Research Institute
Annikki Mäkelä Department of Forest Sciences, University of Helsinki

Keywords: dynamic modeling, Pinus sylvestris L, sink, source, xylogenesis

Abstract

The dynamic, intra-annual model CASSIA combines detailed models of wood formation and properties with a process-based growth simulation system. It predicts the daily growth of wood, needles, shoots and roots of Scots pine based on weather variation and photosynthetic production.

Published

2013-06-04

Issue

FSPM2013

Section

2B Distribution of resources and growth in plants

Authors who publish with this proceedings volume agree to the following terms:

Authors retain copyright and grant the Conference organisers right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this proceedings volume.

Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the proceeding's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this proceedings volume.