4.7 Article

Additive Root Biomass Equations for Betula platyphylla Suk. Plantations in Northeast China

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Forestry

Improving the accuracy of tree biomass estimations for three coniferous tree species in Northeast China

Longfei Xie et al.

Summary: The study developed species-specific biomass models for Korean larch, Korean pine, and Mongolian pine using linear seemingly unrelated regression (SUR), and introduced the SURM model to enhance biomass estimation accuracy. Results showed that the SURM model outperformed the SUR model in terms of fitting performance and prediction accuracy.

TREES-STRUCTURE AND FUNCTION (2022)

Article Forestry

Allometric Biomass Model for Aquilaria Malaccensis Lam. in Bangladesh: A Nondestructive Approach

Hossain Mahmood et al.

Summary: Aquilaria malaccensis Lam. is a significant commercial tree species in Bangladesh, primarily cultivated for the production of the locally known Agar essential oil. This study employed a nondestructive method to establish an allometric biomass model for A. malaccensis, utilizing stem volume data from 254 trees and the biomass expansion factor (BEF) model to estimate the total above-ground biomass (TAGB). Five allometric equations incorporating natural logarithm were tested to identify the best-fit biomass models for crown, stem, and total above-ground biomass (TAGB), with selection criteria based on lowest akaike information criteria (AIC), residual standard error (RSE), and highest coefficient of determination (R-2) and akaike information criteria weighted (AICw) values. The best-fit models for crown, stem, and TAGB were determined as crown biomass = exp(-0.6031 + 0.4279*Ln(DBH<^>2*TH), steam biomass = exp(-3.2483 + 1.7910*Ln(DBH) + 0.7881*Ln(TH), and TAGB = exp(-1.9121 + 1.5937*Ln(DBH) + 0.6152*Ln(TH), respectively. The TAGB model exhibited superior efficiency in biomass estimation compared to commonly used pan-tropical biomass models, as evidenced by lower model prediction error (MPE) and higher model efficiency (ME).

JOURNAL OF SUSTAINABLE FORESTRY (2021)

Article Forestry

Generic Additive Allometric Models and Biomass Allocation for Two Natural Oak Species in Northeastern China

Shengwang Meng et al.

Summary: The study developed generic biomass models for Mongolian oak and Liaodong oak, and evaluated biomass allocation patterns within tree components. The results revealed that stem biomass accounts for about two-thirds of the aboveground biomass, and tree diameter proved to be a good predictor, especially for root biomass.

FORESTS (2021)

Article Engineering, Civil

ADDITIVE ALLOMETRIC MODELS OF SINGLE-TREE BIOMASS OF BETULA SP. AS A BASIS OF REGIONAL TAXATION STANDARDS FOR EURASIA

Vladimir Andreevich Usoltsev et al.

CIVIL AND ENVIRONMENTAL ENGINEERING (2018)

Article Forestry

Additive Nonlinear Biomass Equations: A Likelihood-Based Approach

David L. R. Affleck et al.

FOREST SCIENCE (2016)

Article Forestry

A single-tree additive biomass model of Quercus variabilis Blume forests in North China

Conghui Zheng et al.

TREES-STRUCTURE AND FUNCTION (2015)

Article Forestry

Temporal variations of biomass, carbon and nitrogen of roots under different tree species

Serdar Akburak et al.

SCANDINAVIAN JOURNAL OF FOREST RESEARCH (2013)

Article Forestry

Factors causing variation in fine root biomass in forest ecosystems

Leena Finer et al.

FOREST ECOLOGY AND MANAGEMENT (2011)

Article Forestry

Allometric models for predicting the aboveground biomass of Canada yew (Taxus canadensis Marsh.) from visual and digital cover estimates

Thomas C. Quint et al.

CANADIAN JOURNAL OF FOREST RESEARCH-REVUE CANADIENNE DE RECHERCHE FORESTIERE (2010)

Review Plant Sciences

Influence of Environmental Variability on Root Dynamics in Northern Forests

Brian W. Brassard et al.

CRITICAL REVIEWS IN PLANT SCIENCES (2009)

Article Multidisciplinary Sciences

Fine-root production dominates response of a deciduous forest to atmospheric CO2 enrichment

RJ Norby et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2004)