Skip to main content

Reconstructing and modelling 71 years of forest growth in a Canadian boreal landscape: a test of the CBM-CFS3 carbon accounting model

Buy Article:

$50.00 plus tax (Refund Policy)

Abstract:

We carried out a verification exercise of the Carbon Budget Model of the Canadian Forest Sector (CBM-CFS3) carbon accounting model through the use of a reconstructed data set of forest growth and disturbances spanning a 71 year period (1928–1998) and encompassing a 62km2 landscape of boreal forest in eastern Canada. Overall, results show that yield curve simulations using CBM-CFS3 underestimate realized net biomass accrual by 10% in undisturbed stands. The bias in disturbed stands may be slightly larger. Errors linked to the estimation of the initial 1928 merchantable volume and biomass through the operational forest photointerpretation and inventory procedure may be the largest single cause of the bias. The local application of regionally parameterized yield curves may also be at fault. It is unlikely that long-term trends in climate or atmospheric composition may have generated such bias. Analyses of changes in specific carbon pools and comparisons made with results from a similar exercise carried out in a Pacific coastal forest show a small relative impact on total carbon from forest management activities in the absence of natural disturbances.

Nous avons réalisé un exercice de vérification du modèle du bilan de carbone pour le secteur forestier canadien (CBM-CFS3) au moyen d’une reconstitution de données de croissance forestière couvrant une période de 71 ans (1928–1998) sur 62km2 de forêt boréale dans l’est du Canada. Les résultats montrent que la simulation de CBM-CFS3 basée sur les tables de rendement sous-estime l’accroissement net en biomasse de 10% pour les peuplements non perturbés. Le biais pourrait être légèrement supérieur dans les peuplements perturbés. Les erreurs liées à l’estimation du volume marchand et de la biomasse initiale de 1928 au moyen des procédures de photo-interprétation et d’imputation des données d’inventaire semblent être la cause principale du biais. L’application locale de tables de rendement paramétrisées à l’échelle régionale peut aussi être en cause. Il est peu probable que les changements à long terme du climat ou de la composition atmosphérique aient généré ce biais. L’analyse de réservoirs spécifiques de carbone en comparaison avec les résultats d’un exercice similaire fait dans une forêt de la côte du Pacifique montre un impact modéré de l’aménagement forestier sur le carbone total en l’absence de perturbations naturelles.

Document Type: Research Article

Publication date: 2010-01-01

More about this publication?
  • Published since 1971, this monthly journal features articles, reviews, notes and commentaries on all aspects of forest science, including biometrics and mensuration, conservation, disturbance, ecology, economics, entomology, fire, genetics, management, operations, pathology, physiology, policy, remote sensing, social science, soil, silviculture, wildlife and wood science, contributed by internationally respected scientists. It also publishes special issues dedicated to a topic of current interest.
  • Information for Authors
  • Submit a Paper
  • Subscribe to this Title
  • Terms & Conditions
  • Sample Issue
  • Reprints & Permissions
  • Ingenta Connect is not responsible for the content or availability of external websites
  • Access Key
  • Free ContentFree content
  • Partial Free ContentPartial Free content
  • New ContentNew content
  • Open Access ContentOpen access content
  • Partial Open Access ContentPartial Open access content
  • Subscribed ContentSubscribed content
  • Partial Subscribed ContentPartial Subscribed content
  • Free Trial ContentFree trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more