Generality of black spruce biomass estimation equations

1984 ◽  
Vol 14 (3) ◽  
pp. 468-470 ◽  
Author(s):  
D. F. Grigal ◽  
L. K. Kernik
Keyword(s):  
Black Spruce ◽  
Biomass Estimation ◽  
Total Biomass ◽  
Tree Diameter ◽  
Estimation Equations ◽  
Stand Conditions

We developed a set of equations to estimate biomass of black spruce (Piceamariana (Mill.) B.S.P.), based on data from trees from bogs in Minnesota. The equation for total biomass, based on diameter alone, was similar to most other equations for black spruce in the literature. This relationship appears to have wide generality. Estimates of foliage biomass, arrived at by using the same tree diameter and height but various equations from the literature, differed greatly. These comparisons indicate that stand conditions, such as stocking, are apparently very important in determining mass of black spruce foliage.

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.

Forest Biomass Estimation Based on Forest Inventory Data in Middle and Last Scales

2011 ◽  
Vol 183-185 ◽  
pp. 220-224
Author(s):  
Ming Ze Li ◽  
Wen Yi Fan ◽  
Ying Yu
Keyword(s):  
Tree Species ◽  
Forest Inventory ◽  
Forest Biomass ◽  
Biomass Estimation ◽  
Total Biomass ◽  
Inventory Data ◽  
Biomass Equation ◽  
Tree Species Composition ◽  
Forest Inventory Data ◽  
Ecosystem Carbon

The forest biomass (which is referred to the arbor aboveground biomass in this research) is one of the most primary factors to determine the forest ecosystem carbon storages. There are many kinds of estimating methods adapted to various scales. It is a suitable method to estimate forest biomass of the farm or the forestry bureau in middle and last scales. First each subcompartment forest biomass should be estimated, and then the farm or the forestry bureau forest biomass was estimated. In this research, based on maoershan farm region, first the single tree biomass equation of main tree species was established or collected. The biomass of each specie was calculated according to the materials of tally, such as height, diameter and so on in the forest inventory data. Secondly, each specie’s biomass and total biomass in subcompartment were calculated according to the tree species composition in forest management investigation data. Thus the forest biomass spatial distribution was obtained by taking subcompartment as a unit. And last the forest total biomass was estimated.

scholarly journals Estimation on the Change of Above-Ground Carbon Stock in Arboretum University of Lampung

2018 ◽  
Vol 6 (2) ◽  
pp. 51
Author(s):  
Kristian Gomos Banjarnahor ◽  
Agus Setiawan ◽  
Arief Darmawan
Keyword(s):  
Carbon Stock ◽  
The Body ◽  
Total Carbon ◽  
Biomass Estimation ◽  
Total Biomass ◽  
Biomass Carbon ◽  
Process Plants ◽  
Carbon Dioxide Co2 ◽  
Non Destructive ◽  
Earth Temperature

Carbon dioxide (CO2) is a greenhouse gas that could increase earth temperature. Through the photosynthesis process, plants absorb CO2 then convert it into carbohydrates, then sequester it in the body of plants. The purpose of the study is to estimate the changes in the carbon stock at the Arboretum University of Lampung. The methods used were stock difference by counting the carbon changes or difference between carbon stored in 2010 and 2016. While the stand biomass estimation measured by trees general allometric equations with non-destructive sampling. The results showed that the total carbon was 46% of the total biomass. Carbon stock in 2016 were about 226.75 ton/ha, showing an increase of 59.72% or 84.78 ton/ha compared to in 2010’s. The increase was due to additional growth of 804 trees as a result of plantation activity and natural regeneration. Keywords: Arboretum, biomass, carbon, necromass, University of Lampung.

WEIGHT AND SIZE DISTRIBUTION OF SLASH OF WHITE SPRUCE AND LODGEPOLE PINE

1965 ◽  
Vol 41 (4) ◽  
pp. 432-437
Author(s):  
A. D. Kiil
Keyword(s):  
Size Distribution ◽  
Lodgepole Pine ◽  
White Spruce ◽  
Practical Method ◽  
Graphical Analysis ◽  
Tree Diameter ◽  
West Central ◽  
Pine Trees ◽  
Fine Fuels ◽  
Stand Conditions

A simple and practical method is described for predicting slash weight and proportion of fine fuels. Sixty white spruce and 101 lodgepole pine trees in west central Alberta differing in site and stand conditions were felled, measured and the unmerchantable stem and all branchwood weighed. A graphical analysis showed that the slash weight-merchantable cubic foot ratios for both species varied inversely with tree diameter for the range of diameters sampled. White spruce has a higher slash weight-merchantable cubic foot ratio and a higher proportion of fine fuels than lodgepole pine.

Growth and allocation of Picea rubens, Picea mariana, and their hybrids under ambient and elevated CO2

2015 ◽  
Vol 45 (7) ◽  
pp. 877-887 ◽  
Author(s):  
John E. Major ◽  
Alex Mosseler ◽  
Kurt H. Johnsen ◽  
Moira Campbell ◽  
John Malcolm
Keyword(s):  
Picea Mariana ◽  
Black Spruce ◽  
Negative Relationship ◽  
Growth Efficiency ◽  
Picea Rubens ◽  
Tree Size ◽  
Total Biomass ◽  
Hybrid Index ◽  
Shoot To Root Ratio ◽  
Size Interaction

Red spruce (RS; Picea rubens Sarg.) – black spruce (BS; Picea mariana (Mill.) B.S.P.) controlled crosses (100%, 75%, 50%, 25%, and 0% RS, balance BS) showed increasingly greater height with increasing proportion of BS in each successive year. Height growth of 4-year-old ambient CO2 (aCO2) grown trees was highly correlated with height of 22-year-old field-grown trees of the same or similar crosses. Bud flush was earliest in BS and declined linearly with increasing proportion of RS with no significant CO2 effect. Percent stem (stem + branches) mass increased under elevated CO2 (eCO2), a quarter of which was due to ontogeny. Conversely, percent needle mass had a significant negative relationship with increasing tree size, and there was a CO2 × tree size interaction. Shoot-to-root ratio was greatest for BS, whereas RS had among the lowest. Hybrid index (HI) 50 had the greatest root mass allocation, lowest shoot-to-root ratio, and among the greatest total mass under eCO2. Growth efficiency increased with tree size and eCO2 but decreased with HI. Percent total biomass stimulation under eCO2 was lowest for BS at 6.5%, greatest for HI 50 at 20.3%, and RS had 17.5%.

scholarly journals ABOVEGROUND DENDROMASS ESTIMATION OF JUVENILE PAULOWNIA SP.

2017 ◽  
Vol 1 (24) ◽  
Author(s):  
Tatiana Stankova ◽  
Veselka Gyuleva ◽  
Dimitar Dimitrov ◽  
Hristina Hristova ◽  
Ekaterina Andonova
Keyword(s):  
Regression Models ◽  
Goodness Of Fit ◽  
Tree Height ◽  
Early Growth ◽  
Biomass Estimation ◽  
Allometric Relationships ◽  
Tree Diameter ◽  
Breast Height ◽  
Ornamental Trees ◽  
Total Tree

Species of the genus Paulownia have been introduced to Bulgaria since the beginning of the XXthcentury and their multipurpose uses - as ornamental trees, for wood and biomass production- have been tested ever since. We present a study, which examines the early growth of four Paulowniaclones at southern locations in Bulgaria and derives biometric models for dendromass estimationof juvenile Paulownia trees.The data originated from two experimental plantations established on nursery land using one-yearoldin vitro propagated plant material. Forty six, 1 to 3 year-old saplings from two clones of P. tomentosaand two P. elongata × P. fortunei hybrids were sampled. Their stem biomass was modeledas a function of the breast height tree diameter and total tree height or the stem diameter aloneand a set of goodness-of-fit criteria was applied to select the most adequate among the 29 testedformulations. The regression models were fitted in log-transformed form to the logarithm of thestem biomass and MM correction factor for bias was applied to the back-transformed predictiondata. Two allometric relationships were derived, which adequately assess stem dendromass ofyoung Paulownia sp. from easily measurable tree characteristics. Both models are applicable forstem biomass estimation of juvenile Paulownia trees of diameter up to 5 cm and total height upto 3.5 m.

scholarly journals ALLOMETRIC MODELS FOR ESTIMATING ABOVEGROUND BIOMASS AND BIOMASS ALLOCATION OF CAPIXINGUI TREES (Croton floribundus Spreng.) IN AN AGRISILVICULTURAL SYSTEM

2016 ◽  
Vol 40 (2) ◽  
pp. 279-288 ◽  
Author(s):  
Maria Luiza Franceschi Nicodemo ◽  
Marcelo Dias Muller ◽  
Antônio Aparecido Carpanezzi ◽  
Vanderley Porfírio-da-Silva
Keyword(s):  
Aboveground Biomass ◽  
Stem Diameter ◽  
Distribution Model ◽  
Biomass Estimation ◽  
Total Biomass ◽  
Biomass Distribution ◽  
Residual Distribution ◽  
Allometric Models ◽  
Crown Diameter ◽  
Bole Biomass

ABSTRACT The objective of this study was to select allometric models to estimate total and pooled aboveground biomass of 4.5-year-old capixingui trees established in an agrisilvicultural system. Aboveground biomass distribution of capixingui was also evaluated. Single- (diameter at breast height [DBH] or crown diameter or stem diameter as the independent variable) and double-entry (DBH or crown diameter or stem diameter and total height as independent variables) models were studied. The estimated total biomass was 17.3 t.ha-1, corresponding to 86.6 kg per tree. All models showed a good fit to the data (R2ad > 0.85) for bole, branches, and total biomass. DBH-based models presented the best residual distribution. Model lnW = b0 + b1* lnDBH can be recommended for aboveground biomass estimation. Lower coefficients were obtained for leaves (R2ad > 82%). Biomass distribution followed the order: bole>branches>leaves. Bole biomass percentage decreased with increasing DBH of the trees, whereas branch biomass increased.

scholarly journals Tree Biomass Estimation in Karst Forest of West Papua, Indonesia

Jurnal Wasian ◽  
2021 ◽  
Vol 8 (2) ◽  
pp. 75-86
Author(s):  
Andes Rozak ◽  
◽  
Destri Destri ◽  
Zaenal Mutaqien
Keyword(s):  
Allometric Equations ◽  
Biomass Estimation ◽  
Total Biomass ◽  
Tree Biomass ◽  
Karst Forest ◽  
Large Trees ◽  
West Papua ◽  
Reference Equation ◽  
Selection Of ◽  
Made In

Indonesia is estimated to have 14,5 million hectares of karst areas. The characteristic of karst vegetation is specific, one of which is the dominance of small trees. With all of the potency, their vegetation acts as a significant carbon sequester and store it in biomass. This study aims to estimate and discuss biomass estimation in the karst forest within the Nature Recreational Park of Beriat, a protected area in South Sorong, West Papua. A total of 28 plots were made in the forest using the purposive random sampling method. Tree biomass (DBH ≥10 cm) was estimated using five different allometric equations. The results showed that the biomass was estimated at ca. 264 Mg ha-1 (95 % CI: 135-454 Mg ha-1). While small trees (DBH 10 – 30 cm) only contribute 30 % of the total biomass, about 38 % of the biomass is the contribution of large trees (DBH >50 cm), where Pometia pinnata contributes ca. 39 % of the biomass at plot-level. The use of various allometric equations results in different biomass estimates and biases with deviations ranged from -14.78 % to +17.02 % compared to the reference equation. Therefore, the selection of allometric equations used must be considered carefully to reduce uncertainties in biomass estimation.

Black Spruce Fuel Weights and Biomass in Two Interior Alaska Stands

1973 ◽  
Vol 3 (2) ◽  
pp. 304-311 ◽  
Author(s):  
Richard J. Barney ◽  
Keith Van Cleve
Keyword(s):  
Black Spruce ◽  
Basal Area ◽  
Total Biomass ◽  
Biomass Distribution ◽  
Dead Tree ◽  
Interior Alaska ◽  
Moss Layer

This study reports the fuel weight and biomass distribution in a 51-year-old lowland and a 55-year-old upland black spruce (Piceamariana [Mill.] B.S.P.) stand in interior Alaska. Biomass distribution is shown for overstory, standing and down dead tree components, herbaceous understory, and the moss layer. The lowland stand contained over 11000 stems/acre (27170 stems/ha) and 82 ft2 of basal area per acre (18.8 m2 of basal area per hectare), and the upland stand contained 6000 stems/acre (14820 stems/ha) and 96 ft2 of basal area per acre (22.0 m2 of basal area per hectare). Moss layers contributed 54.6 and 45.5 t/acre (120.1 and 100.1 metric t/ha) to biomass totals in the lowland and upland sites, respectively. Total biomass was 64.7 t/acre (142.3 metric t/ha) in the lowland site and 58.0 t/acre (127.6 metric t/ha) in the upland site.

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