In:
Canadian Journal of Forest Research, Canadian Science Publishing, Vol. 20, No. 2 ( 1990-02-01), p. 166-171
Abstract:
Ten forest litters with decomposition state varying from 16.6 to 100% weight remaining were partitioned into sub-samples; each subsample was analyzed for proximate carbon fractions using one of two chemical analysis procedures (forage fiber and forest products analyses). Proximate carbon fractions from the simpler forage fiber techniques accurately estimated extractives, cellulose, lignin, and acid-hydrolyzed carbohydrates (R 2 〉 0.83) determined by the more complex forest products analyses. Decomposition state accounted for most of the residual variance and significantly improved predictive equations for lignin and extractives. The relationship between proximate carbon fractions from the different techniques also varied somewhat among wood, hardwood leaves, and conifer leaves; however, variations were minor relative to the overall trend. Equations developed can be used to extend data availability for developing and validating decomposition models.
Type of Medium:
Online Resource
ISSN:
0045-5067
,
1208-6037
Language:
French
Publisher:
Canadian Science Publishing
Publication Date:
1990
detail.hit.zdb_id:
1473096-0
SSG:
23
SSG:
12
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