000 02423cam  2200325za 4500
0019.839661
003CaOODSP
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008180116s2017    abc     ob   f000 0 eng d
020 |a978-0-660-09042-9
040 |aCaOODSP|beng
041 |aeng|bfre
043 |an-cn---
0861 |aFo134-10/2017E-PDF
24500|aCarbon budget model of the Canadian forest sector (CBM-CFS3) |h[electronic resource] : |barchive index database table and parameter descriptions / |cS.J. Kull ... [et al.].
260 |aEdmonton : |bNorthern Forestry Centre, |c2017.
300 |avi, 28 p.
504 |aIncludes bibliographical references.
5203 |a"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.
546 |aIncludes pref. material and abstract in French.
69207|2gccst|aForests
69207|2gccst|aEcology
69207|2gccst|aSoftware
69207|2gccst|aDatabases
7001 |aKull, S. J.
7101 |aCanada. |bNatural Resources Canada.
7102 |aNorthern Forestry Centre (Canada)
794 |tCarbon budget model of the Canadian forest sector (CBM-CFS3) : |w(CaOODSP)9.878046
85640|qPDF|s336 KB|uhttps://publications.gc.ca/collections/collection_2018/rncan-nrcan/Fo134-10-2017-eng.pdf