scholarly journals Biomass Estimation of Eaglewood (Aquilaria filaria (Oken) Merr.) in the Karst Ecosystem of West Papua

2021 ◽  
Vol 6 (1) ◽  
pp. 59221
Author(s):  
Andes Hamuraby Rozak ◽  
Zaenal Mutaqien ◽  
Destri Destri
Keyword(s):  
International Trade ◽  
Allometric Equation ◽  
Biomass Estimation ◽  
Bootstrap Procedure ◽  
West Papua ◽  
Karst Ecosystem

Eaglewood is Indonesia’s important trade commodity in the form of resins from several infected species of Thymelaeaceae. The basis to determine its international trade quota through CITES is derived from the estimated eaglewood-producing species grown in their habitat. This paper aims to estimate the biomass of eaglewood, Aquilaria filaria, in the karst ecosystem of West Papua. We conducted a plot-based method and calculated the biomass of A. filaria using a diameter-based allometric equation and simulated using a bootstrap procedure. The results showed that 15,500 tons of naturally infected eaglewood are estimated in the karst ecosystem of West Papua.

Using photography to estimate above-ground biomass of small trees

2020 ◽  
pp. 1-7
Author(s):  
Brandon R. Hays ◽  
Corinna Riginos ◽  
Todd M. Palmer ◽  
Benard C. Gituku ◽  
Jacob R. Goheen
Keyword(s):  
Cost Effective ◽  
Allometric Equation ◽  
Biomass Estimation ◽  
Above Ground Biomass ◽  
Tree Biomass ◽  
East African ◽  
Ground Biomass ◽  
Herbivore Exclusion ◽  
Significant Difference ◽  
Allometric Relation

Abstract Quantifying tree biomass is an important research and management goal across many disciplines. For species that exhibit predictable relationships between structural metrics (e.g. diameter, height, crown breadth) and total weight, allometric calculations produce accurate estimates of above-ground biomass. However, such methods may be insufficient where inter-individual variation is large relative to individual biomass and is itself of interest (for example, variation due to herbivory). In an East African savanna bushland, we analysed photographs of small (<5 m) trees from perpendicular angles and fixed distances to estimate above-ground biomass. Pixel area of trees in photos and diameter were more strongly related to measured, above-ground biomass of destructively sampled trees than biomass estimated using a published allometric relation based on diameter alone (R2 = 0.86 versus R2 = 0.68). When tested on trees in herbivore-exclusion plots versus unfenced (open) plots, our predictive equation based on photos confirmed higher above-ground biomass in the exclusion plots than in unfenced (open) plots (P < 0.001), in contrast to no significant difference based on the allometric equation (P = 0.43). As such, our new technique based on photographs offers an accurate and cost-effective complement to existing methods for tree biomass estimation at small scales with potential application across a wide variety of settings.

scholarly journals Removing the Scaling Error Caused by Allometric Modelling in Forest Biomass Estimation at Large Scales

Forests ◽  
2019 ◽  
Vol 10 (7) ◽  
pp. 602
Author(s):  
Carl Zhou ◽  
Xiaolu Zhou
Keyword(s):  
Large Scale ◽  
Forest Ecosystems ◽  
Forest Biomass ◽  
Field Measurements ◽  
Allometric Equation ◽  
Biomass Estimation ◽  
Allometric Relationships ◽  
Data Errors ◽  
Pinus Yunnanensis

To estimate the responses of forest ecosystems, most relationships in biological systems are described by allometric relationships, the parameters of which are determined based on field measurements. The use of existing observed data errors may occur during the scaling of fine-scale relationships to describe ecosystem properties at a larger ecosystem scale. Here, we analyzed the scaling error in the estimation of forest ecosystem biomass based on the measurement of plots (biomass or volume per hectare) using an improved allometric equation with a scaling error compensator. The efficiency of the compensator on reducing the scaling error was tested by simulating the forest stand populations using pseudo-observation. Our experiments indicate that, on average, approximately 94.8% of the scaling error can be reduced, and for a case study, an overestimation of 3.6% can be removed in practice from a large-scale estimation for the biomass of Pinus yunnanensis Franch.

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.

scholarly journals The accuracy of species-specific allometric equations for estimating aboveground biomass in tropical moist montane forests: case study of Albizia grandibracteata and Trichilia dregeana

2019 ◽  
Vol 14 (1) ◽  
Author(s):  
Damena Edae Daba ◽  
Teshome Soromessa
Keyword(s):  
Forest Ecosystem ◽  
Aboveground Biomass ◽  
Forest Type ◽  
Model Performance ◽  
Allometric Equation ◽  
Allometric Equations ◽  
Coefficient Of Determination ◽  
Biomass Estimation ◽  
Moist Forest ◽  
Species Specific

Abstract Background Application of allometric equations for quantifying forests aboveground biomass is a crucial step related to efforts of climate change mitigation. Generalized allometric equations have been applied for estimating biomass and carbon storage of forests. However, adopting a generalized allometric equation to estimate the biomass of different forests generates uncertainty due to environmental variation. Therefore, formulating species-specific allometric equations is important to accurately quantify the biomass. Montane moist forest ecosystem comprises high forest type which is mainly found in the southwestern part of Ethiopia. Yayu Coffee Forest Biosphere Reserve is categorized into Afromontane Rainforest vegetation types in this ecosystem. This study was aimed to formulate species-specific allometric equations for Albizia grandibracteata Tuab. and Trichilia dregeana Sond. using the semi-destructive method. Results Allometric equations in form of power models were developed for each tree species by evaluating the statistical relationships of total aboveground biomass (TAGB) and dendrometric variables. TAGB was regressed against diameter at breast height (D), total height (H), and wood density (ρ) individually and in a combination. The allometric equations were selected based on model performance statistics. Equations with the higher coefficient of determination (adj.R2), lower residual standard error (RSE), and low Akaike information criterion (AIC) values were found best fitted. Relationships between TAGB and predictive variables were found statistically significant (p ≤ 0.001) for all selected equations. Higher bias was reported related to the application of pan-tropical or generalized allometric equations. Conclusions Formulating species-specific allometric equations is found important for accurate tree biomass estimation and quantifying the carbon stock. The developed biomass regression models can be applied as a species-specific equation to the montane moist forest ecosystem of southwestern Ethiopia.

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 Dry Biomass Estimation of Hedge Banks: Allometric Equation vs. Structure from Motion via Unmanned Aerial Vehicle

2018 ◽  
Vol 64 (No. 4) ◽  
pp. 149-156
Author(s):  
Lingner Stefan ◽  
Thiessen Eiko ◽  
Müller Kerrin ◽  
Hartung Eberhard
Keyword(s):  
Structure From Motion ◽  
Reference Method ◽  
Dry Mass ◽  
Allometric Equation ◽  
Biomass Estimation ◽  
Technical Requirements ◽  
Dry Biomass ◽  
Aerial Vehicle ◽  
Non Destructive ◽  
Volume Models

The wood yield of hedge banks is very heterogeneous and hard to estimate in advance. The aim of the present study was to estimate the dry biomass of hedge banks shortly before harvesting using two different non-destructive approaches: (i) allometric equation based on DBH, (ii) volume calculations based on Structure from Motion; and to compare these estimations to the results of the (invasive) reference method: weighing after harvesting. Study objects were three different 100 m hedge banks in Schleswig-Holstein, Germany that were divided into 10 m segments (n = 30). These segments were harvested and weighed separately to calculate dry biomass. The allometric equation yielded a relative root mean square error (rRMSE) of 32.4%. The Structure from Motion (SfM) volume models yielded an rRMSE of 30.0%. These results indicate that SfM approaches are comparably precise to allometric equations for dry mass estimations of hedge banks. SfM approaches are less time consuming but have higher technical requirements.

scholarly journals Allometric equation for aboveground biomass estimation in moist Afromontane forest in Gesha and Sayilem district in Kaffa zone, southwestern Ethiopia

2020 ◽  
Author(s):  
Admassu Merti ◽  
Teshome Soromessa ◽  
Tura Bareke
Keyword(s):  
Wood Density ◽  
Aboveground Biomass ◽  
Allometric Equation ◽  
Allometric Equations ◽  
Individual Species ◽  
Biomass Estimation ◽  
Regression Equations ◽  
Strongly Correlated ◽  
Afromontane Forest ◽  
Species Specific

Abstract Background: Allometric equations which are regressions linking the biomass to some independent variables are used to estimate tree components from the forest. The generic equation developed by many authors may not adequately reveal the tree biomass in a specific region in tropics including in Ethiopia. Therefore, the use of species specific allometric equations is important to achieve higher levels of accuracy because trees of different species may differ. The objective of the study was to develop species-specific allometric equations for Apodytes dimidiata, Ilex mitis, Sapium ellipticum and shrubs (Galiniera saxifraga and Vernonia auriculifera) using semi-destructive method for estimating the aboveground biomass (AGB). For purpose of sampling trees, individual species were categorized into trees whose Diameter at breast height (DBH) is ≥ 5 cm.Results: All the necessary biomass calculations were done, and biomass equations were developed for each species. The regression equations relate AGB with DBH, height (H), and density (ρ) were computed and the models were tested for accuracy based on observed data. The best model was selected based higher adj R2 and lower residual standard error and Akaike information criterion than rejected models. The relations for all selected models are significant (p<0.000), which showed strong correlation AGB with selected dendrometric variables. Accordingly, the AGB was strongly correlated with DBH and was not significantly correlated with wood density and height individually in Ilex mitis. In combination, AGB was strongly correlated with DBH, height; DBH and wood density; are better for carbon assessment than general equations.Conclusions: The specific allometeric equation developed for the Gesha-Sayilem Afromontane Forest which can be used in similar moist forests in Ethiopia for the implementation of Reduced Emission from Deforestation and Degradation (REDD+) activities to benefit the local communities from carbon trade.

scholarly journals ChinAllomeTree 1.0: China's normalized tree biomass equation dataset

2019 ◽  
Author(s):  
Yunjian Luo ◽  
Xiaoke Wang ◽  
Zhiyun Ouyang ◽  
Fei Lu ◽  
Liguo Feng ◽  
...  
Keyword(s):  
Geographical Location ◽  
Allometric Equation ◽  
Carbon Accounting ◽  
Sub Saharan Africa ◽  
Background Information ◽  
Biomass Estimation ◽  
Tree Biomass ◽  
Biomass Equation ◽  
Geographical Regions ◽  
Biomass Equations

Abstract. The tree biomass equation, which is also called the tree allometric equation, is the most commonly used method to estimate tree and forest biomass at various spatial-temporal scales because of its high accuracy, efficiency and conciseness. For decades, many tree biomass equations have been reported in diverse types of literature (e.g., journals, books and reports). These scattered equations are being compiled, and tree biomass equation datasets are currently available for many geographical regions (e.g., Europe, North America and Sub-Saharan Africa) and countries (e.g., Australia, Indonesia and Mexico) except for in an important region of the world, Eastern Asia, specifically China. Therefore, in this study, we carried out an extensive survey and critical review of the literature (from 1978–2013) on biomass equations conducted in China and developed China’s normalized tree biomass equation dataset (ChinAllomeTree version 1.0). This dataset consists of 5,924 biomass component equations for nearly 200 species and their associated background information (e.g., geographical location, climate and stand description), showing sound geographical, climatic and forest vegetation coverages across China. The dataset is freely available at https://doi.pangaea.de/10.1594/PANGAEA.895244 for noncommercial scientific applications, which fills an important regional gap in global biomass datasets and provides key parameters for biomass estimation in forest inventory and carbon accounting in China.

Growth and biomass of siberian elm seedlings (Ulmus pumila L.) grown in tree nursery

2020 ◽  
Vol 30 (2) ◽  
pp. 32-37
Author(s):  
Gan-Erdene Batsaikhan ◽  
Myadagmaa Suren ◽  
Batdorj Enkhbayar ◽  
Delgerjargal Dugarjav
Keyword(s):  
Belowground Biomass ◽  
Allometric Equation ◽  
Biomass Estimation ◽  
Degraded Land ◽  
Ulmus Pumila ◽  
Tree Nursery ◽  
Shoot Ratio ◽  
Root Shoot Ratio ◽  
High Prediction ◽  
Relationship Of

In this paper, we studied growth and biomass of 1-2 years old Siberian elm seedlings grown in the tree nursery, near Ulaanbaatar, Mongolia. Ulmus pumila L. has a wide natural distribution throughout the country. Due to climate change and other factors, environmental degradation has become inevitable in the country and efforts to restore degraded land are made in different regions. Due to its drought and cold resistance, Siberian elm is considered to be one of the most suitable species of tree to be used for restoration and windbreaks. We measured height, diameter and biomass of 1-2 year old seedlings, and composed allometric equation to estimate aboveground and belowground biomass. Equations have high prediction power (R2=0.80-0.96), however, they are more suitable to seedlings and saplings due to difference in the allometric relationship of trees at different ages. We also explored relationship between diameter (at root collar) and height, which was fairly good (R2=0.73). In order to be able to use the equation to indirectly estimate belowground biomass of seedlings, we estimated Root/shoot ratio of seedlings. Root/shoot ratio was 0.85 for 1-2-year-old seedlings. Belowground biomass estimation can be useful in determining how well the tree can fix soil around it, and draw water and nutrients from the soil. The result of the study can be used for further work concerning the viability of Siberian elm for restoration and windbreaks.

scholarly journals Comparison of several methods of stands inventory prior to logging towards the yield volume of mangrove forest in Bintuni Bay, West Papua Province, Indonesia

2020 ◽  
Vol 21 (4) ◽  
Author(s):  
Dr. Istomo ◽  
Cecep Kusmana ◽  
Fifi Gus Dwiyanti ◽  
Zulfikar Malik
Keyword(s):  
Mangrove Forest ◽  
Sampling Method ◽  
Allometric Equation ◽  
Systematic Sampling ◽  
Mangrove Forests ◽  
Modified Method ◽  
West Papua ◽  
Specific Formula ◽  
The Difference ◽  
Systematic Sampling Method

Abstract. Istomo, Kusmana C, Dwiyanti FG, Malik D. 2020. Comparison of several methods of stands inventory prior to logging towards the yield volume of mangrove forest in Bintuni Bay, West Papua Province, Indonesia. Biodiversitas 21: 1438-1447. The difference between the estimated volume and the actual harvested volume is the reason that mangrove forest management is unsustainable. To overcome this discrepancy, it is important to do what so called Inventarisasi Tegakan Sebelum Penebangan (ITSP) or stands inventory prior to logging for logging concession. However, the study on suitable ITSP methods for mangrove forests has been limited. This study aims to assess three ITSP methods (namely Line Strip Sampling Method, Line Systematic Sampling Method, and CIFOR’s Modified Method) using two allometric equations (i.e., equation developed specifically by a logging concession and equation developed that has specific formula for each species), and to select the combination of method and allometric equation that produce the highest accuracy for logging concession in mangrove forest, especially in Bintuni Bay, West Papua. The results showed that CIFOR’s Modified Method produces the lowest discrepancy between the estimated volume and the actual harvested volume, followed by Line Strip Sampling Method. In addition, regardless the ITSP methods employed, the allometric equation by Cole et al. (1999) outperforms the equation developed specifically by a logging concession. While producing the lowest discrepancy with plot size is the smallest than other methods, CIFOR’s Modified Method has a disadvantage when applied in the field due to difficulties in making a circular plot. As such, we recommend ITSP method to be used is the Line Strip Sampling method with allometric equation.

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