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Carbon budget model of the Canadian forest sector (CBM-CFS3) : archive index database table and parameter descriptions / S.J. Kull ... [et al.].Fo134-10/2017E-PDF

"The Carbon Budget Model of the Canadian Forest Sector (CBM-CFS3), version 1.2, is a stand- and landscape-level modeling framework that can be used to simulate the dynamics of all forest carbon pools required under the United Nations Framework Convention on Climate Change and the Kyoto Protocol. The model is distributed free-of-charge from Natural Resources Canada, and comes with a set of default ecological parameters and data developed for forests of Canada, and these can be modified by the user, allowing for the application of the model in other countries. The Microsoft Access database housing these parameters and data is called the Archive Index Database (AIDB). The AIDB contains over 70 tables, each with varying numbers of fields populated with different types of data and parameters. This report describes the database tables and their relevance in the model, the fields they contain, any inter-table linkages, and literature related to the data or parameters in the fields. This database description will help users by increasing the transparency of the CBM-CFS3 and aiding those interested in modifying the AIDB to make it more applicable to forest ecosystems outside of Canada”--Abstract, p. iii.

Permanent link to this Catalogue record:
publications.gc.ca/pub?id=9.839661&sl=0

Publication information
Department/Agency
  • Canada. Natural Resources Canada.
  • Northern Forestry Centre (Canada)
TitleCarbon budget model of the Canadian forest sector (CBM-CFS3) : archive index database table and parameter descriptions / S.J. Kull ... [et al.].
Publication typeMonograph
Language[English]
Later editionCarbon budget model of the Canadian forest sector (CBM-CFS3) :
FormatDigital text
Electronic document
Note(s)
  • Includes bibliographical references.
  • Includes pref. material and abstract in French.
Publishing information
  • Edmonton : Northern Forestry Centre, 2017.
Author / Contributor
  • Kull, S. J.
Descriptionvi, 28 p.
ISBN978-0-660-09042-9
Catalogue number
  • Fo134-10/2017E-PDF
Departmental catalogue number37188
Subject terms
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