Individual tree biomass estimation equations for plantation-grown white spruce in northern Minnesota

1985 ◽  
Vol 15 (4) ◽  
pp. 738-739 ◽  
Author(s):  
R. B. Harding ◽  
D. F. Grigal
Keyword(s):  
Stand Structure ◽  
White Spruce ◽  
Biomass Estimation ◽  
Prediction Equations ◽  
Tree Biomass ◽  
Eastern Canada ◽  
Individual Tree ◽  
Diameter At Breast Height ◽  
Breast Height ◽  
Estimation Equations

Prediction equations for biomass of white spruce (Piceaglauca (Moench) Voss) were developed for 115 sample trees using the allometric models Y = ADB and Y = ADBHC, where Y is mass, D is diameter at breast height, and H is total height. The addition of height to the model reduced the Sy•x for all estimates except that for biomass of branches and needles. Comparison of results to other estimation equations developed in eastern Canada showed that biomass estimates were variable. Variations in stand structure and age between natural and plantation-grown trees are possible reasons for these differences.

scholarly journals Allometric equations for estimating biomass of community forest tree species in Madiun, Indonesia

2020 ◽  
Vol 21 (9) ◽  
Author(s):  
Pandu Wirabuana ◽  
RAHMANTA SETIAHADI ◽  
RONGGO SADONO ◽  
MARTIN LUKITO ◽  
DJOKO SETYO MARTONO ◽  
...  
Keyword(s):  
Tree Species ◽  
Forest Tree ◽  
Allometric Equations ◽  
Tree Biomass ◽  
Community Forest ◽  
Individual Tree ◽  
Community Forests ◽  
Forest Tree Species ◽  
Diameter At Breast Height ◽  
Breast Height

Abstract. Wirabuana PYAP, Setiahadi R, Sadono R, Lukito M, Martono DS, Matatula J. 2020. Allometric equations for estimating biomass of community forest tree species in Madiun, Indonesia. Biodiversitas 21: 4291-4300. The capability of community forests for offsetting carbon emissions highly depends on their biomass production. Unfortunately, the measurement of tree biomass in community forests using a destructive method is expensive and time-consuming. It is also almost impossible to conduct this method for all trees in the observation area. Therefore, the development of allometric equations is essential to support tree biomass estimation in community forests. This study was designed to construct specific models for predicting individual tree biomass in community forests, located in Madiun, Indonesia. We destructively sampled approximately 120 trees from four different species (30 trees for each species), i.e., Falcataria moluccana, Melia azedarach, Swietenia macrophylla, and Tectona grandis. For every tree sample, the measurement of biomass was conducted in each tree’s component, namely roots, stem, branches, and leaves. The allometric equations were developed with regression analysis using predictor variables, like diameter at breast height (D), squared diameter at breast height combined with tree height (D2H), as well as D and H separately. Results found that for four species, the mean biomass in the stem was 50.3%, followed by branches 25.4%, roots 15.9%, and leaves 8.3%. The best equation for estimating biomass in every component and total of four species was different. However, our study showed that the equation lnŶ = -3.037 + 1.430 lnD + 1.684 was reliable to estimate total individual tree biomass of four species in the surveyed area since this model had accuracy of 90.8%. Referring to these findings, we recommended the utilization of an allometric equation as an alternative method for facilitating more efficient biomass measurement in the community forests.

scholarly journals Comparison of individual tree aboveground biomass estimation in community forests using allometric equation and expansion factor in Magetan, East Java, Indonesia

2021 ◽  
Vol 22 (9) ◽  
Author(s):  
Rahmanta Setiahadi
Keyword(s):  
Aboveground Biomass ◽  
Allometric Equation ◽  
Biomass Estimation ◽  
Expansion Factor ◽  
Individual Tree ◽  
Biomass Expansion Factor ◽  
Community Forests ◽  
Diameter At Breast Height ◽  
Breast Height ◽  
Tree Component

Abstract. Setiahadi R. 2021. Comparison of individual tree aboveground biomass estimation in community forests using allometric equation and expansion factor in Magetan, East Java, Indonesia. Biodiversitas 22: 3899-3909. The use of allometric equation and biomass expansion factor can facilitate more efficient tree biomass estimation. This study evaluates the accuracy of the allometric equation and expansion factor for quantifying the individual tree aboveground biomass in community forest tree species. Destructive sampling n on 120 trees from four different species: Falcataria moluccana, Melia azedarach, Swietenia macrophylla, and Tectona grandis. For each tree sample, aboveground biomass measured at every tree component, i.e., stem, branches, and leaves. The allometric equation developed using regression analysis with several predictor variables, such as diameter at breast height (D), squared diameter at breast height combined with tree height (D2H), and D and H separately. On another side, the biomass expansion factor was calculated based on the total aboveground biomass and stem biomass ratio. The results found the highest mean aboveground biomass for all species are M. azedarach (326.36±88.40 kg tree-1), S. macrophylla (244.47±98.73 kg tree-1), T. grandis (173.31±80.97 kg tree-1), and F. moluccana (56.56±23.10 kg tree-1). The most significant average biomass expansion factor observed in M. azedarach (1.78±0.03), adhered by T. grandis (1.66±0.09), S. macrophylla (1.61±0.04), and F. moluccana (1.59±0.06). The equation ln? = lna + b x ln (D) was best for estimating aboveground biomass in each tree component and a total of four species with an accuracy of more than 90%.

scholarly journals Deriving Individual-Tree Biomass from Effective Crown Data Generated by Terrestrial Laser Scanning

2019 ◽  
Vol 11 (23) ◽  
pp. 2793
Author(s):  
Yujie Zheng ◽  
Weiwei Jia ◽  
Qiang Wang ◽  
Xu Huang
Keyword(s):  
Laser Scanning ◽  
Three Dimensional ◽  
Terrestrial Laser Scanning ◽  
Tree Height ◽  
Biomass Estimation ◽  
Tree Biomass ◽  
Crown Height ◽  
Individual Tree ◽  
Cloud Data ◽  
Biomass Equations

Biomass reflects the state of forest management and is critical for assessing forest benefits and carbon storage. The effective crown is the region above the lower limit of the forest crown that includes the maximum vertical distribution density of branches and leaves; this component plays an important role in tree growth. Adding the effective crown to biomass equations can enhance the accuracy of the derived biomass. Six sample plots in a larch plantation (ranging in area from 0.06 ha to 0.12 ha and in number of trees from 63 to 96) at the Mengjiagang forest farm in Huanan County, Jiamusi City, Heilongjiang Province, China, were analyzed in this study. Terrestrial laser scanning (TLS) was used to obtain three-dimensional point cloud data on the trees, from which crown parameters at different heights were extracted. These parameters were used to determine the position of the effective crown. Moreover, effective crown parameters were added to biomass equations with tree height as the sole variable to improve the accuracy of the derived individual-tree biomass estimates. The results showed that the minimum crown contact height was very similar to the effective crown height, and an increase in model accuracy was apparent (with R a 2 increasing from 0.846 to 0.910 and root-mean-square error (RMSE) decreasing from 0.372 kg to 0.286 kg). The optimal model for deriving biomass included tree height, crown length from minimum contact height, crown height from minimum contact height, and crown surface area from minimum contact height. The novelty of the article is that it improves the fit of individual-tree biomass models by adding crown-related variables and investigates how the accuracy of biomass estimation can be enhanced by using remote sensing methods without obtaining diameter at breast height.

Modelling survival probability of individual trees in Norway spruce stands under different thinning regimes

2005 ◽  
Vol 35 (1) ◽  
pp. 113-121 ◽  
Author(s):  
Kjell Karlsson ◽  
Lennart Norell
Keyword(s):  
Norway Spruce ◽  
Goodness Of Fit ◽  
Basal Area ◽  
Site Index ◽  
Stand Age ◽  
Goodness Of Fit Test ◽  
Individual Tree ◽  
Thinning Intensity ◽  
Diameter At Breast Height ◽  
Breast Height

The probability that an individual tree will remain in even-aged Norway spruce (Picea abies (L.) Karst.) stands subjected to different thinning programmes was modelled, using data from a thinning experiment established in 25 localities in southern Sweden. A logistic regression approach was used to predict the probability and the Hosmer–Lemeshow goodness-of-fit test to evaluate the fit. Diameter at breast height (DBH), quadratic mean DBH, thinning intensity, thinning quotient, basal area, number of stems per hectare, stand age, number of thinnings, and site index were used as explanatory variables. Separate analyses for stands thinned from below, stands thinned from above, and unthinned stands were performed. The modelled probability graphs for trees not being removed, plotted against their diameter at breast height, had clear S-shapes for both unthinned stands and stands thinned from below. The graph for stands thinned from above was bell-shaped.

Biomass estimation equations for Norway spruce in New York

1986 ◽  
Vol 16 (2) ◽  
pp. 413-415 ◽  
Author(s):  
E. J. Jokela ◽  
K. P. Van Gurp ◽  
R. D. Briggs ◽  
E. H. White
Keyword(s):  
Norway Spruce ◽  
Strong Predictor ◽  
Allometric Equation ◽  
Site Quality ◽  
Biomass Estimation ◽  
Total Biomass ◽  
Dry Matter Accumulation ◽  
Individual Tree ◽  
Stem Wood ◽  
Estimation Equations

Biomass estimation equations for plantation-grown Norway spruce (Piceaabies (L.) Karst.) were developed from data of 30 sample trees and expressed using the linear form of the following allometric equation: In Y = b0 + b1 ln X + ln ε, where Y is dry weight and X is dbh or D2H. The accuracy of the equations for biomass estimates were ranked as follows: total tree > stem wood > stem bark > foliage > live branches > dead branches. Diameter alone was a strong predictor of biomass and the addition of height to the model only slightly reduced the standard error of the estimate for the stem component equations. Comparison of results to equations developed in Sweden showed similarity in predictions for total biomass, but also showed disparity in predictions for individual tree components. Factors that influence tree morphology and distribution patterns of dry matter accumulation, such as stocking and site quality, may be responsible for these differences.

scholarly journals Crown Area as a Parameter for Biomass Estimation of Croton sonderianus Müll. Arg.

2019 ◽  
Vol 26 (4) ◽  
Author(s):  
Jeferson Luiz Dallabona Dombroski ◽  
José Rivanildo de Souza Pinto
Keyword(s):  
Plant Height ◽  
Plant Biomass ◽  
Remote Sensing Data ◽  
Biomass Estimation ◽  
Tree Biomass ◽  
Basal Diameter ◽  
Crown Area ◽  
Breast Height ◽  
Multiple Stems ◽  
Non Destructive

ABSTRACT Current tree biomass estimation techniques generally use remote sensing data and allometric models for validation, which relate non-destructive parameters to plant biomass, usually employing diameter at the plant base or breast height and plant height. In the Caatinga Biome, many plants present multiple stems, thus making it difficult to measure the plant diameter, and lost branches, which are difficult to correct for. Hence, there is a need for suitable models for Caatinga plants, as well as studies on the possibility of using other parameters. For this study, plant and branch basal diameter, plant height, and crown area of Croton sonderianus plants were measured, and plants were also collected and weighed. Several classic models and their variations were tested. The best models were variations of Naslund (R2 = 0.92; rmse = 1,221) and Schumacher & Hall (R2 = 0.92; rmse = 1,217). Plant height and crown area enables a better biomass estimation than using plant or branch basal diameter.

scholarly journals Seemingly Unrelated Mixed-Effects Biomass Models for Young Silver Birch Stands on Post-Agricultural Lands

Forests ◽  
2020 ◽  
Vol 11 (4) ◽  
pp. 381
Author(s):  
Karol Bronisz ◽  
Lauri Mehtätalo
Keyword(s):  
Tree Height ◽  
Mixed Effects ◽  
Model System ◽  
Silver Birch ◽  
Estimation Methods ◽  
Biomass Estimation ◽  
Agricultural Lands ◽  
Cross Model ◽  
Diameter At Breast Height ◽  
Breast Height

Secondary succession that occurs on abandoned farmlands is an important source of biomass carbon stocks. Both direct and indirect tree biomass estimation methods are applied on forest lands. Using empirical data from 148 uprooted trees, we developed a seemingly unrelated mixed-effects models system for the young silver birch that grows on post agricultural lands in central Poland. Tree height, biomass of stem, branches, foliage, and roots are used as dependent variables; the diameter at breast height is used as the independent variable. During model elaboration we used restricted cubic spline: 5 knots at the quantiles (0.05, 0.275, 0.5, 0.725, and 0.95) of diameter at breast height provided sufficiently flexible curves for all biomass components. In this study, we demonstrate the use of the model system through cross-model calibration of the biomass component model using tree height measured from 0, 2, 3, and 4 available extreme trees feature in the plot in question. A different number of extreme trees were measured for final model system and our results indicated that for all analyzed components, random-effect predictions are characterized by higher accuracy than fixed-effects predictions.

A simplified tree bait for the mountain pine beetle

1993 ◽  
Vol 23 (6) ◽  
pp. 1108-1113 ◽  
Author(s):  
J.H. Borden ◽  
L.J. Chong ◽  
B.S. Lindgren ◽  
E.J. Begin ◽  
T.M. Ebata ◽  
...  
Keyword(s):  
Release Rate ◽  
Mountain Pine Beetle ◽  
Diameter Class ◽  
Individual Tree ◽  
Diameter At Breast Height ◽  
Breast Height ◽  
Mountain Pine ◽  
Pine Beetle ◽  
Antiaggregation Pheromone ◽  
And Control

Seven, split-block experiments throughout British Columbia in 1989 tested the efficacy of binary tree baits containing the pheromones trans-verbenol and exo-brevicomin or ternary baits with the addition of the host tree kairomone myrcene for containing and concentrating infestations of the mountain pine beetle, Dendroctonusponderosae Hopkins, in stands of lodgepole pine, Pinuscontorta var. latifolia Engelm. Attack densities on baited trees, attack frequencies of baited trees and trees within 10 m of the baited trees, and the ratios of newly attacked, green, trees to previously attacked, red, trees were generally statistically equal between sub-blocks containing binary or ternary baits. Where statistically significant differences occurred for one or more of the above criteria in one experiment, they were generally offset by statistically significant differences in the opposite direction in another experiment. Two individual-tree experiments in 1990 that supported the equality of binary and ternary baits indicated that raising the release rate of trans-verbenol in binary baits tended to reduce their efficacy (possibly because of contamination with the antiaggregation pheromone verbenone) and showed that increasing the release rate of exo-brevicomin tended to counteract this effect. When attack frequencies were subdivided by diameter class of available trees attacked, all baits were effective in inducing attack on available trees <30.0 cm diameter at breast height (1.3 m), but attack on baited and control trees ≥30 cm diameter at breast height was equal. Provided that the trans-verbenol in binary baits does not contain or autoxidize to verbenone, myrcene can be deleted from operational tree baits.

scholarly journals Models for biomass prediction of Cunninghamia lanceolata tree and stands in Southeastern China

2016 ◽  
Author(s):  
Mei Guangyi ◽  
Sun Yujun
Keyword(s):  
Wood Density ◽  
Forest Stand ◽  
Chinese Fir ◽  
Cunninghamia Lanceolata ◽  
Biomass Estimation ◽  
Tree Biomass ◽  
Estimation Model ◽  
Individual Tree ◽  
Natural Logarithm ◽  
Total Tree

Large uncertainties still remain when using existing biomass equations to estimate total tree and forest stand scale. In this paper, we develop individual-tree biomass models for Chinese fir (Cunninghamia lanceolata （Lamb.）Hook.) stands in Fujian Province, southeast of China. For this, we used 74 previously established models that are most commonly used to estimate tree biomass, and selected the best fit models and modified it. The results showed the published model with ln(B) (biomass), ln(D) (diameter at breast height), (ln(H)) 2, (total height) (ln(H))3 and ln(WD) (wood density) to be the best fitting model for estimating the tree biomass of Chinese fir. Furthermore, we observed that variables D, H (height), WD significantly correlated with the total tree biomass estimation model, as a result of it portraying the natural logarithm structure to be the best tree biomass structure. Finally, when a multi-step improvement on tree biomass model was performed, the analytic model with TV (tree volume), WD and BECF (biomass wood density conversion factor), achieved the highest accuracy simulation. Therefore, when combined with TV, WD and BECF to tree biomass volume coefficient bi for Chinese fir, the optimal model is the forest stand biomass (SB) estimation model, model with variables of stand volume (SV) and coefficient bi.

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