کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
89553 159344 2008 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Predicting mean aboveground forest biomass and its associated variance
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک بوم شناسی، تکامل، رفتار و سامانه شناسی
پیش نمایش صفحه اول مقاله
Predicting mean aboveground forest biomass and its associated variance
چکیده انگلیسی

An approach to simplify the prediction of average aboveground forest biomass values and their associated variability is presented in this study. The advantage of the proposed approach is based on the fact that it can be applied to any form of equation describing tree size–shape relationships and to any tree species. The proposed approach was tested against a tree-level dataset comprising of 1211 pairs of aboveground tree biomass (M) and tree diameter (D) values. The compiled trees were grouped into several D classes and average M estimates (μM) with their associated variances (σM) were predicted for each class based on second-order Taylor expansion formulas. Nineteen beech (Fagus moesiaca Cz.) plots were also used to derive μM and σM estimates on an area basis in order to test the applicability of the approach on forest scale. The only assumption made was that the simple allometric model M = aDb can accurately describe the M–D relationship. The results indicated that the mere recording of D distribution and appropriate selection of a and b values may provide very good estimates for μM and σM both at global and forest level. It is therefore concluded that biomass studies related to carbon sequestration, biofuel potential, ecophysiological processes and management practices are considerably simplified.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Forest Ecology and Management - Volume 256, Issue 6, 5 September 2008, Pages 1400–1407
نویسندگان
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