KR20150014359A - Methods to estimate storage and annual uptake of carbon through a direct harvesting method by urban evergreen landscape trees - Google Patents

Abstract

The present invention relates to a measurement model development method capable of easily estimating the storage and annual uptake of carbon of urban evergreen landscape trees through a direct harvesting method. More particularly, the measurement model development method capable of estimating the storage and annual uptake of the carbon of the urban evergreen landscape trees includes the steps of (1) determining a plurality of specific trees; (2) measuring a weight according to a part of an object by the direct harvesting method; (3) collecting a sample according to the part and drying the sample in a 85 degree drier; (4) measuring a dry weight according to the part from the dried sample and analyzing carbon contents; (5) calculating carbon storage by applying a carbon content ratio; calculating the annual uptake of the carbon by collecting a stem material; and (7) deriving the variable and the regression equation of the storage and uptake to measure the carbon reduction from the storage and annual uptake of the carbon at each object according to a diameter.

Description

Methods for estimating carbon stock and annual carbon uptake by direct harvesting method of urban evergreen landscape crops (method to estimate storage and annual uptake of carbon through a direct harvesting method by urban evergreen landscape trees)

The present invention has developed a metering model through direct harvesting method in order to easily calculate carbon storage amount and annual carbon absorption amount of municipal vegetation. More specifically, we have developed a meteorological model for the main landscape species of the city, pine, pine, fir, and attention, which yields carbon storage and annual carbon uptake by species. That is, by measuring the fresh weight by individual harvesting method by direct harvesting method, the sample is sampled by dividing into individual stem, branch, leaf, root and so on, and the individual biomass (total grain weight) Carbon stocks and annual carbon stocks are estimated.

Landscape trees are trees that are planted with coniferous or broad-leaved trees to create a beautiful, useful and healthy environment. Typical landscape plants are evergreen species such as pine, pine, fir, and attention, and deciduous trees such as zelkova, cherry, ginkgo, maple and magnolia are used.

One of the many reasons for global warming is carbon emissions, which is the largest source of carbon storage and is being studied for species by species. In particular, the extent to which a tree can store or absorb carbon is measured by various methods. In Korea, research and development focused on the carbon absorption of the forest sector, and the 11 forest trees of the National Forestry Academy (2010a) were analyzed for carbon absorption such as wood basic density, biomass expansion coefficient, root content ratio, We have derived coefficients and relative decorations.

There has been no research and development on the carbon storage and annual carbon absorption metering model through the direct harvesting method of the urban mundane landscape water of the present invention. In particular, the need for research and development related to the carbon storage and annual absorption quantification of urban landscape gardening is increasing due to urban green tract expansion projects and carbon trading.

In the case of urban landscape landscapes, there is a study that suggests the relative species decoration and the carbon absorption amount formula for each species (Jung Hyun-gil and Joongdonghae, 1998; Cho Hyun-gil and An Tae-won, 2001; National Forestry Academy, 2010b) The results of research and development are very inadequate. The reason for this was due to the difficulty of direct deforestation and deforestation of urban landscape gardeners. In other words, the existing research and development was indirectly applied by estimating by measurement of volume or by infrared gas analyzer measurement. The reclamation method measures the land reclamation, but there is a limit to estimate the carbon storage amount by substituting various factors derived from forest trees such as the basic density of wood, the biomass expansion coefficient, and the ratio of underground / In the case of infrared gas analyzer measurement, CO ₂ Estimation errors in the measurement of various parameters such as exchange rate, related environmental factor, respiration amount of non-dynamic plant, and leaf area according to diameter size and complex induction process can be large.

Recently, Cho Hyun-gil and Ahn Tae-won (2012) proposed a regression model that easily estimates carbon storage and annual carbon uptake of urban fallow landscaping using direct harvesting method. However, It is absent.

Therefore, there is a need for a method of calculating the carbon storage amount and the annual carbon absorption amount of the urban landscape garden which can improve the accuracy and reliability by complementing the limitations by the existing indirect method and comparing the results with each other.

Table 1 shows the current state and lack of research and development based on carbon storage and annual carbon sequestration of domestic urban landscape water.

Researcher Target species Key findings and weaknesses However, Zelkova, maple, opossum, ginkgo · Calculation of annual carbon uptake by species by measurement of complex variables such as CO2 exchange rate, environmental factor, respiration rate, and leaf area per unit leaf area
· The need for comparative verification of the results of applying indirect methods
Cho Hyun-gil and An Tae-won
(2001) Pine tree National Forestry Academy
(2010b) Zelkova, maple, metasequoia, cherry blossom, bellflower, ginkgo, painting tree · Development of top-level landfill by several species
Estimation of carbon stocks by substituting the coefficients of forest trees such as wood basic density, biomass expansion coefficient, and underground /
· Development and validation of various coefficients for various kinds of domestic trees in Korea through direct harvesting method including muscle roots Park Eun Jin and Kang Kyu Lee
(2010) Zelkova, maple, metasequoia, lily, cherry, pine, opossum, ginkgo, pictorial tree · Average receipt by species, showing carbon stocks and annual CO2 absorption per applied
· Limitations on the substitution of counterparts for forest trees, which are largely divided into conifers and deciduous trees.
· Carbon storage per year and annual absorption are not available for other similar studies due to differences in yield and diameter growth

Accordingly, it is an object of the present invention to provide a method of easily calculating the carbon storage amount and the annual carbon absorption amount of an urban evergreen landscape water through a direct harvesting method.

An object of the present invention is to provide a metering model capable of easily estimating the carbon storage amount and the annual carbon absorption amount of the urban evergreen landscape water through the direct harvesting method. The above-described metering model development method includes the following steps.

(1) determining a plurality of specific species (based on the diameter of a breast or root diameter), (2) measuring the fresh weight of each part per individual by direct harvesting method including muscle root, and (3) and drying until a constant weight at 85 ^o C Dryer collected the cuts of the specimen, (4) and measure the cuts of dry weight from the dried sample, and analyzing the carbon content, (5) production, based on the weight of the sample Calculating the total biomass (dry weight) of the species from the dry weight ratio and calculating the carbon stock amount by applying a carbon content ratio to the biomass; and (6) (7) a regression formula of carbon storage and annual carbon uptake to quantify carbon abatement per individual and annual carbon uptake by diameter, and And a step of deriving the number.

In order to analyze the carbon content in the step (4), 3 individuals classified into small, medium and large sizes were arbitrarily selected (small diameter is 5 cm or less, medium size is 6 to 10 cm or less, And large pieces were labeled more than 11 cm), and three dried specimens were collected from each part of the stem, branch, root, bark, and leaf. Then, the weight of the dried sample was weighed, placed in a crucible, completely burned in a high-temperature electric furnace at about 600 ° C, and the reduced weight was determined to calculate the carbon content. Carbon content was statistically significant between woody parts (stem, branches, roots, bark, etc.) and leaves, and was classified into woody parts and leaves. That is, the carbon content ratio of the woody part was 0.56 and the carbon content ratio of the leaf was 0.54.

The step (6) analyzes the average annual diameter growth rate in four orthogonal directions with respect to the sampling disk of the breast or root region, and calculates the annual biomass by subtracting the biomass of the previous year from the biomass of the current year. The annual carbon uptake is calculated by multiplying the annual increase in biomass by the carbon content ratio derived in step (4). In step (7), the derivation of the weighing model can be performed by repeatedly performing linear and nonlinear approaches with independent variables such as chest diameter and labor, and then finally quantifying the carbon storage per person and annual carbon uptake The most appropriate regression equation and variables are derived.

In the above step (7), the pit diameter of the pine tree is measured and the carbon storage amount of the pine tree is calculated by the following equation (1).

(1), where Y is the carbon stock of the pine (kg / week) and B is the pit diameter (cm) of the pine tree.

The pit diameter of the pine tree is measured and the amount of carbon stored in the pine tree is calculated by the following equation (2).

(2), where Y is the carbon stock of the Pinus koraiensis (kg / week) and B is the pit diameter (cm) of Pinus koraiensis.

And the carbon storage amount of the fir is calculated by the following equation (3).

Carbon storage amount of fir: lnY = -2.0993 + 2.0814 lnB --- where, Y is the carbon storage amount of the fir (kg / week) and B is the pit diameter (cm) of the fir.

The diameter of the root of interest is measured, and the carbon storage amount for the attention is calculated by the following expression (4).

(4), where Y is the carbon stock of interest (kg / week) and R is the diameter of the root of interest (cm).

In the above step (7), the pit diameter of the pine tree is measured and the annual carbon uptake for the pine tree is calculated by the following equation (5).

(5) where Y is the annual carbon uptake (kg / week / year) of the pine tree and B is the pit diameter (cm) of the pine tree.

The diameter of the pine tree is measured and the annual carbon uptake for the pine trees is calculated by the following equation (6).

(6), where Y is the annual carbon uptake of the Pinus koraiensis (kg / week / year) and B is the pit diameter (cm) of Pinus koraiensis.

The diameter of the fir tree is measured, and the annual carbon uptake for the fir is calculated by the following equation (7).

Annual carbon uptake of fir: lnY = -3.0252 + 1.6158 lnB --- where, Y is the annual carbon uptake of the fir (kg / week / year) and B is the pit diameter (cm) of the fir .

The diameter of the root of attention is measured and the annual carbon absorption amount for the attention is calculated by the following equation (8).

(8), where Y is the annual carbon uptake (kg / week / year) of interest and R is the diameter of the source of interest (cm). .

Table 2 shows the biomass expansion coefficients and the underground / overland ratios of the trees subject to direct harvesting. The biomass expansion coefficients of the ground (stem, branch, leaf, etc.) were 1.91 ~ 2.86 on average.

There is almost no research and development on the landscape trees in Korea. In the case of forest trees, pine trees are 1.40 ~ 1.47 and pine trees are 1.85 (National Forestry Academy, 2010a). In other words, the biomass expansion coefficient of urban landscape gardening is higher than that of forest trees. This is due to differences in competition due to environmental conditions (open growth) . The ratio of underground and overland areas was 0.22 for pine, 0.26 for pine, 0.19 for fir and 0.49 for attention. The pine and pine trees were similar to those of forest pine (0.25 ~ 0.26) and pine tree (0.26) (Korea Forest Research Institute, 2010a).

Table 2 shows the biomass expansion coefficients and the ratio of underground / overground parts by species.

division Pine tree Pine tree fir fist Biomass expansion factor ^a 2.86 ± 0.13 1.91 + - 0.10 2.67 ± 0.17 2.35 ± 0.11 Underground / overground ratio ^b 0.22 ± 0.01 0.26 ± 0.02 0.19 ± 0.01 0.49 + 0.04

^a Biomass Expansion Factor: Stem Biomass to Ground (including branches and leaves) Total Biomass Ratio

^b Underground / above ground ratio: Biomass ratio of root relative to total ground level biomass

The subjects of the study were at least 6 to 51 years old. The average growth rate of pine trees was 0.93cm / year, followed by pine tree 0.86cm / year and fir tree 0.76cm / year. The root diameter growth rate of the tree was 0.40cm / year. The mean annual growth rate of Pinus koraiensis was 0.48 cm and 0.60 cm, respectively, and the mean value of coniferous species including pine and larch trees was reported to be 0.64 cm (Jung, 1985; The diameter growth rate of the species studied was about 1.2 ~ 1.5 times larger than that of coniferous species in Korea.

The carbon stocks of each species derived from the present invention showed a remarkable difference from the carbon stocks of the forest trees (Lee, Kyung-jae and Park, 1987; Park, In-hyeop and Lee, Seok-yeon, 1990; That is, the carbon stocks of the studied trees were estimated to be 1.5 times higher than the carbon stocks of the forest trees with 20 cm diameter and 1.2 times higher than the pine trees.

The applicant of the present invention applied pine trees and pine trees in urban areas to a plant using CO ₂ The exchange rate measurement method has been used to derive an equation to estimate the annual carbon uptake. The annual carbon uptake of pine and pine trees by direct harvesting method of the present invention tended to be slightly lower than that of the CO ₂ exchange rate measurement method and vice versa for pine trees of 25 cm or more in diameter. In the meanwhile, the diameter growth rate of the pine and pine trees in the central region of Korea (Jung, 1985; Park, Wan Geun, 1987; And there was not much difference from the estimates. In other words, the annual carbon uptake of trees subject to 20cm diameter was about 1.6 times higher than that of forest trees and 2.8 times higher than that of forest trees.

Table 3 shows a comparison of the annual carbon uptake results for each species (kg / week / year).

division
dropsy
Chest Diameter (cm) ^d 5 10 15 20 25 30 directly
Harvest method ^a
Pine tree 0.9 2.6 4.8 7.5 10.5 - Pine tree 0.5 2.1 5.2 9.9 16.3 24.5 fir 0.7 2.0 3.9 6.1 - - fist 0.2 0.7 1.4 - - - CO ₂ exchange rate measurement method ^b Pine tree 1.0 3.0 5.5 8.1 10.8 13.3 Pine tree 1.2 3.5 6.4 9.9 13.7 17.8 diameter
Growth application method ^c Pine tree 0.4 1.3 2.7 4.6 7.1 10.1 Pine tree 0.5 2.0 2.8 3.6 6.1 8.1

^a Direct harvest method: The annual carbon uptake of this study is calculated

^b CO ₂ exchange rate measurement method: Regression equation derived from the CO ₂ exchange rate measurement of urban trees in the central part of Korea (Cho Hyun Gil and Tae Won Cho, 2001)

^c Diameter growth application method: Diameter growth rate of pine and pines trees in central forest area in Korea (Jung, 1985; Park, Wan Geun, 1987;

^d Notice the origin diameter

The present invention is the first research and development result in Korea where a direct harvesting method (including root roughening) is applied as a practical model for easily quantifying the carbon reduction effect of the domestic urban evergreen landscape water. In other words, we have developed a weighing model that estimates the carbon stocks and annual carbon stocks per pine, pines, pine trees, and foliage, and easily estimates carbon stocks and annual carbon stocks for each species. This metric model will be very useful academic and practical information when considering the absolute lack of domestic and overseas data on urban landscape gardeners. In addition, it will contribute to overcoming the limitations of existing research and development that substitute the coefficients of biomass expansion, the ratio of underground / overground parts, and diameter of the forest, due to the difficulty of cutting trees and muscles in urban forests.

In addition, the present invention will be usefully utilized as an infrastructure technology for evaluating the carbon reduction of landscaping trees in connection with the urban greening business of government or local governments. It is the basis for the carbon offset account for urban greenhouse carbon accounting for carbon neutrality and offset programs and national greenhouse gas inventory reporting. In addition, it is useful information as an objective base data of low carbon green growth policies such as the understanding of urban carbon cycle and the establishment of a low carbon city green space business. For landscape designers and construction workers, it is practical data to reflect species selection and plant design to maximize carbon absorption. It has been academically contributed to the scientific development by overcoming the limitations of the existing research and deducing the validity and reliability to quantify carbon storage and annual carbon uptake of landscape trees.

Fig. 1 shows changes in carbon storage amount according to the diameter growth of pine, pine, fir and pine trees.
Fig. 2 shows changes in annual carbon uptake due to the diameter growth of pine, pine, fir and pine trees.

The method for the development of the carbon storage and annual carbon absorption metering model through the direct harvesting method of the present invention is as follows: (1) (3) a step of collecting a sample by site and drying it in a 85 ^o C drier until it becomes a constant weight, (4) drying (5) calculating the total biomass (dry weight) of the species from the ratio of the dry weight to the weight of the sample, and applying the carbon content ratio to the biomass to calculate the carbon stock (6) calculating the annual carbon uptake by analyzing the yield and diameter growth of a stem disc at the breast or root region, and (7) Includes regression and regression of carbon storage and annual carbon uptake to quantify carbon abatement from annual carbon uptake.

We have developed a weighing model in Table 4 and Table 5, which yields the carbon stocks and annual carbon uptake by species of pine trees, pine trees, fir trees, and attention trees, which are the main local landscaping species in the city. That is, at least ten individuals of each species were purchased with a certain interval of chest diameter or root diameter, ranging from nomadic to adult species, and live weights were determined by direct harvesting method including locomotion in the field . Then, samples were collected and sorted by stem, branch, leaf, roots, etc., and the carbon stocks were calculated by measuring the area and total biomass (dry weight) of the individuals and applying the carbon content ratio. In addition, stem discs in the chest area were collected (note that the disc was taken from the root of the surface), and the diameter growth was analyzed and the annual carbon uptake was calculated. Based on the results of estimating carbon stocks and annual carbon stocks per species and diameter classes, we derived the most suitable regression equation and variables to easily estimate the carbon abatement of the four species.

< Example  1>; Calculating the carbon stock of pine trees

For the 10 pine trees with a diameter of 5.3 ~ 24.6cm, pine trees were sampled by direct harvest method including muscle roots, and the samples were sampled for drying, dry weight, carbon content, pine tree The carbon stocks were calculated by calculating the total weight and dry weight, and the stem discs were taken from the chest area. The diameter and the diameter growth were analyzed to calculate the annual carbon uptake. The carbon stocks per capita and the annual carbon stock (1) to calculate the carbon stocks for pine trees, including the regression equation of carbon storage and annual carbon uptake estimating the carbon stock and the variables.

(1), where Y is the carbon stock of the pine (kg / week) and B is the pit diameter (cm) of the pine tree.

< Example  2>; Calculation of carbon stock of pine trees

The carbon storage amount of pine wood is calculated according to the following formula (2) in the same manner as in Example 1, with respect to 11 pine trees having a diameter of 5.3-30.9 cm.

(2), where Y is the carbon stock of the Pinus koraiensis (kg / week) and B is the pit diameter (cm) of Pinus koraiensis.

< Example  3>; Calculating carbon stock of fir

The carbon storage amount for the fir is calculated according to the following equation (3) in the same manner as in Example 1, with respect to ten fir trees having a diameter of 5.0 to 19.2 cm.

Carbon storage amount of fir: lnY = -2.0993 + 2.0814 lnB --- where, Y is the carbon storage amount of the fir (kg / week) and B is the pit diameter (cm) of the fir.

< Example  4>; Carbon stocking of attention

The carbon storage amount for the attention is calculated by the following equation (4) in the same manner as in the first embodiment, with respect to the ten patterns having the root diameter of 2.1 to 15.2 cm.

(4), where Y is the carbon stock of interest (kg / week) and R is the diameter of the root of interest (cm).

Table 4 shows the carbon sequestration model for each species.

dropsy Regression formula ^a Determination coefficient
( r ² ) Probability of significance
( p ) Number of trees (n) Diameter (cm) ^b Pine tree ln Y = -3.0006 + 2.4430 lnB 0.9821 <0.0001 10 5.3 to 24.6 Pine tree ln Y = -4.3355 + 2.8942 lnB 0.9857 <0.0001 11 5.3 to 30.9 fir ln Y = -2.0993 + 2.0814 lnB 0.9818 <0.0001 10 5.0 to 19.2 fist ln Y = -3.6709 + 2.4407 lnR 0.9552 <0.0001 10 2.1 to 15.2

^{A is the} carbon storage (kg / week), B is the pit diameter (cm), R is the root diameter (cm)

^b Pine, pines and fir are chest diameter, and attention is root diameter

As shown in Table 4, the carbon storage amount measurement models of pine trees, pine trees, fir trees and four species of trees as landscape gardeners in Examples 1 to 4 are shown in Table 4. All four regression models were statistically significant ( p <0.0001) as a result of the F test, and r ² was at least 0.96, indicating a good fit. The regression coefficients of the Y-intercept and interlabial diameters also showed significance at the 1% level for all t- test results. Carbon stocks per tree increased with diameter growth, and differences in diameter grades increased as work size increased. Carbon stocks of pine and pine trees were about 1.2 times larger than those of pine and pine trees at 20cm diameter. Carbon stocks of Pinus densiflora were smaller than those of Pinus densiflora and Pinus densiflora but less than 15cm in diameter.

< Example  5>; Calculate annual carbon uptake of pine trees

The annual carbon absorption amount for pine trees is calculated by the following equation (5) in the same manner as in Example 1. Annual carbon uptake of pine trees: lnY = -2.5552 + 1.5251 lnB --- Equation (5) where Y is the annual carbon uptake (kg / week / year) of the pine tree and B is the pit diameter .

< Example  6>; Calculate annual carbon uptake of Pinus koraiensis

The annual carbon uptake for pine trees is calculated by the following equation (6) in the same manner as in Example 2. (6), where Y is the annual carbon uptake of the Pinus koraiensis (kg / week / year) and B is the pit diameter (cm) of Pinus koraiensis .

< Example  7; Calculate annual carbon uptake of fir

In the same manner as in Example 3, the annual carbon absorption amount for the fir is calculated by the following formula (7). Annual carbon uptake of fir: lnY = -3.0252 + 1.6158 lnB --- where, Y is the annual carbon uptake of the fir (kg / week / year) and B is the pit diameter (cm) of the fir .

< Example  8>; Estimates of annual carbon uptake

The diameter of the root of interest is measured in the same manner as in Example 4, and the annual carbon absorption amount for the attention is calculated by the following expression (8). (8), where Y is the annual carbon uptake (kg / week / year) of interest and R is the diameter of the source of interest (cm). .

Table 5 shows the annual carbon uptake model for several species.

dropsy Regression formula ^a Determination coefficient
( r ² ) Probability of significance
( p ) Number of trees (n) Diameter (cm) ^b Pine tree ln Y = -2.5552 + 1.5251 lnB 0.9999 <0.0001 10 5.3 to 24.6 Pine tree ln Y = -4.3736 + 2.2262 lnB 0.9818 <0.0001 11 5.3 to 30.9 fir ln Y = -3.0252 + 1.6158 lnB 0.9228 <0.0001 10 5.0 to 19.2 fist ln Y = -4.6581 + 1.8554 ln R 0.9909 <0.0001 10 2.1 to 15.2

^{A is the} annual carbon uptake (kg / week / year), B is the chest diameter (cm), R is the root diameter (cm)

^b Pine, pines and fir are chest diameter, and attention is root diameter

As shown in Table 5, annual carbon absorption measurement models of pine trees, pine trees, fir trees, and four major trees as urban landscape watercourses in Examples 5 to 8 are shown in Table 5. All four regression equations were statistically significant ( p <0.0001) as a result of the F test, and r ² was at least 0.92, indicating a good fit. The regression coefficients of Y-intercept and intercostal diameter were also significant at 1% level for all t- test results. The annual carbon uptake per tree was increased along with the diameter growth, similar to the case of the carbon stock storage within the proposed diameter, and the difference in the amount of the annual diameter uptake tended to increase as the diameter increased. The annual carbon uptake of pine trees was the highest in the same diameter of less than 10cm in diameter, but the annual carbon uptake of pine trees was the highest in diameter of 15cm or more, followed by pine and fir.

Although the preferred embodiments of the present invention have been disclosed for illustrative purposes, those skilled in the art will appreciate that various modifications, additions and substitutions are possible, without departing from the scope and spirit of the invention as disclosed in the accompanying claims. It will be understood that the present invention can be changed.

The present invention is a meteorological model derived by applying a direct harvesting method and is a scientific basis data for easily estimating the carbon storage amount and the annual carbon absorption amount of urban landscape water. In addition, since only the diameter of the corresponding object is input as an independent variable, it is easy to use and highly utilizable. Accordingly, the present invention is a technology required by research and policy-making organizations in environmental conservation and restoration fields, including landscaping and construction companies that design urban green space businesses, and local governments that implement green space development projects.

Claims (8)

A method for calculating the carbon storage amount of pine trees by the following equation (1) by measuring the pit diameter of the pine tree.
Carbon stock of pine tree: lnY = -3.0006 + 2.4430 lnB --- Equation (1),
In the formula (1), Y represents the carbon storage amount (kg / week) of the pine tree and B represents the pile diameter (cm) of the pine tree. A method of calculating the carbon storage amount of pine wood by the following equation (2) by measuring the pit diameter of the pine tree.
Carbon stock of the pine tree: lnY = -4.3355 + 2.8942 lnB --- Equation (2),
In the formula (2), Y represents the carbon storage amount (kg / week) of the pine tree and B represents the pit diameter (cm) of the pine tree. A method for calculating the carbon storage amount of a fir by the following equation (3) by measuring the diameter of the fir tree.
Carbon stock of fir: lnY = -2.0993 + 2.0814 lnB --- Equation (3),
In the above formula (3), Y is the carbon storage amount of the fir (kg / week), and B is the pit diameter (cm) of the fir. A method of calculating the carbon storage amount with respect to the attention by the following expression (4) by measuring the root diameter of the attention.
Carbon stock of interest: lnY = -3.6709 + 2.4407 lnR - Equation (4),
In the formula (4), Y represents the carbon storage amount of interest (kg / week) and R represents the root diameter of the attention (cm). The method of calculating annual carbon uptake for pine trees by measuring the pit diameter of pine trees and by the following equation (5).
Annual carbon uptake of pine trees lnY = -2.5552 + 1.5251 lnB - Equation (5),
In the formula (5), Y represents the annual carbon absorption of the pine tree (kg / week / year) and B represents the pine tree diameter (cm). A method of calculating the annual carbon uptake of pine trees by the following equation (6) by measuring the pit diameter of pine trees.
Annual carbon uptake of pine trees lnY = -4.3736 + 2.2262 lnB - Equation (6),
In the formula (6), Y represents the annual carbon uptake (kg / week / year) of the Pinus koraiensis and B represents the pit diameter (cm) of Pinus koraiensis. A method for calculating the annual carbon uptake for a fir by the following equation (7) by measuring the diameter of the fir tree.
Annual carbon uptake of fir: lnY = -3.0252 + 1.6158 lnB --- Equation (7),
In the formula (7), Y represents the annual carbon absorption of the fir (kg / week / year) and B represents the pile diameter (cm) of the fir. A method for calculating the annual carbon absorption amount for the attention by the following formula (8) by measuring the root diameter of the attention.
The annual carbon uptake capacity of interest: lnY = -4.6581 + 1.8554 lnR - Equation (8),
In the formula (8), Y represents the annual carbon absorption amount of interest (kg / week / year), and R represents the root diameter of the attention (cm).

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