CN-121998569-A - Carbon emission accounting method and application thereof in illicium verum forest management and low-cost modification process

Abstract

The invention belongs to the field of forestry, and discloses a method for managing and accounting carbon emission in a low-modification process of illicium verum forest, which comprises the following steps of determining a target range, a functional unit and a system boundary according to management modes of illicium verum forests on different forests; the method aims to provide an accurate and efficient carbon emission accounting system so as to promote sustainable management of the illicium verum forest and protection of ecological environment.

Inventors

• ZHAO MEIFANG
• LIU QIANWEN
• KANG PENG
• FU JUN

Assignees

• 中南林业科技大学
• 广西壮族自治区国有派阳山林场

Dates

Publication Date

20260508

Application Date

20241101

Claims (2)

1. 1. The carbon footprint modeling method in the illicium forest management and low-modification process is characterized by comprising the following steps of: The octagon Lin Tan footprint calculation general formula CF ST ＝CF seeding +CF tree , Wherein CF ST is the carbon footprint of the star anise Lin Tan, CF seedlin g is the carbon footprint of the star anise seedling production stage, and CF tree is the carbon footprint of the star anise management stage; Carbon footprint calculation formula E= Σi (G i ×EF ij ) Wherein E is the greenhouse gas emission of the functional unit j, G i is the activity use data of the input product i, EF ij is the emission factor of the input product i on the greenhouse gas j; CF=∑i(E i ×GWP j ) Wherein CF is the carbon footprint of the functional unit, E j is the emission of greenhouse gases of the functional unit j, GWPj is the global warming potential value, and the coefficient is used for correlating the influence of the j greenhouse gases of unit mass in given internal radiation intensity with the influence of the equivalent CO 2 radiation degree; E electric carbon footprint Elec ＝G Elec ×EF Elec Wherein E Elec is CO 2 emission corresponding to the power used by the functional unit, G Elec is the power used by the functional unit, EF Elec is the power generation emission factor; Fuel carbon footprint: Wherein E Fuel is CO 2 emission corresponding to fuel used by the functional unit, U ma is fuel consumption of machine m in unit time, EF m is energy conversion efficiency of machine m, T m is working time of machine m, EF a is emission factor of greenhouse gas generated by fuel a, and Q a is average low-level heating value of fuel a; fertilizer carbon footprint E fer ＝∑i(A x ×M x ×f x ×EF x Wherein E fer is the CO 2 emission amount corresponding to the fertilizer used by the functional unit, A x is the application area of the fertilizer x, M x is the number of the fertilizer x applied in a single unit area, f x is the average fertilization times of the fertilizer x, and EF x is the emission factor of greenhouse gases generated by the fertilizer x; Chemical carbon footprint E cha ＝∑i(AD x ×EF x Wherein E cha is the CO 2 emission amount corresponding to the chemical used by the functional unit, AD x is the use activity data of chemical x, EF x is the emission factor of greenhouse gases generated by chemical x; Material carbon footprint E mat ＝∑i(AD x ×EF x Wherein E mat is the CO 2 emission amount corresponding to the materials used by the functional unit, AD x is the use activity data of the material x, EF x is the emission factor of greenhouse gases generated by the material x; Transportation carbon footprint E T ＝M T ×G T ×EF T Wherein E T is the CO 2 emission corresponding to the power used by the functional unit, G T is the weight of the transportation functional unit, G T is the transportation distance of the functional unit, and EF T is the transportation production emission factor.
2. 2. The method for calculating carbon emission in illicium forest management and low-modification process is characterized by comprising the following steps of modeling a carbon footprint as defined in claim 1: S1, classifying octal forests according to land fertility level, yield and the like, and determining target range, functional units and system boundaries; s2, collecting a data list; s3, constructing a life cycle list; s5, calculating carbon emission; s6, sensitivity analysis; S7, analyzing the data quality; Wherein, the sensitivity analysis adopts the following formula: E i ＝△A i /△F i E i represents the sensitivity coefficient of the input variable F i ; Δf i represents the rate of change of the input variable F; Δa i , which represents the rate of change of the evaluation result a when the rate of change of the input variable F i is Δf i ; The |e| represents the sensitivity of the evaluation result a i to the variation of the input variable F i ; And includes the steps of listing the various variables required for calculation, sensitivity coefficient calculation, and result comparison.

Description

Carbon emission accounting method and application thereof in illicium verum forest management and low-cost modification process The application relates to a separate application, the original application name is the method for managing and accounting carbon emission in the low-change process of illicium verum forest, the application number is 202411548480.5, and the application date is 2024, 11, and 01. Technical Field The invention belongs to the field of forestry, and particularly relates to a carbon emission accounting method in an octagonal forest management and low-modification process. Background The illicium verum (Illicium verum hook. F.) is a evergreen broad-leaved arbor of the genus illicium of the family illicium. The star anise is an aromatic medicinal plant which is important, and the fruits of the star anise are not only important traditional Chinese medicines, but also common spices in cooking. . The star anise forest is the sum of star anise artificial forest and star anise public welfare forest. The non-low-efficiency low-yield illicium forest means that the yield reaches 750kg/hm 2 through reasonable management means such as tending management, fertilization management and the like, the canopy density is between 0.5 and 0.8, and no obvious plant diseases and insect pests exist. However, the early-stage star anise has low price, the masses are not managed, the planting density is too high, the star anise is in weed clusters, and the investigation and detection of the star anise plant diseases and insect pests are lacking, so that the yield of the star anise is reduced from about 10 kg/plant to 2-3 kg/plant. Based on the above, it is particularly important to perform low-level improvement on the star anise. The low-level improvement refers to that the supplementary forestry operation activities are implemented on the low-quality and low-efficiency forest stand through forestry engineering measures such as variety improvement, forest land improvement, soil improvement and the like so as to recover to the normal level, and the yield and income are increased, the quality and the efficiency are improved. Carbon emissions, greenhouse gases released to the atmosphere during human activity, are one of the key drivers of global climate change. Control of carbon emissions from economic forests is critical to achieving sustainable economic and environmental development. For example, CN 116349539A discloses a management method for promoting the fruit growth and increasing the yield of star anise in Lin Baohua, management and protection are carried out on star anise in Lin Li, and different measures are selected according to different characteristics of star anise in different growth periods, so that the yield and quality of star anise forests are improved. Liu Daodiao and the like provide the Guangxi Liuwan mountain area octagon forest resource and the management strategy thereof, and carry out classified management and related actual operation measures on the octagon forest, thereby improving the comprehensive benefit of forestry and promoting the sustainable development of economy. For the carbon emission research, as disclosed in CN116303799a, a blockchain-based forestry carbon emission accounting method is disclosed, in which the life cycle range of trees is determined, and then the production process is divided into a plurality of carbon emission unit modules. Ding Sheng et al divide the Jiangsu province forestry industry into 18 subclasses, and research on carbon emissions of the Jiangsu forestry industry based on a Logistic model. However, current accounting for carbon emissions from forests is focused primarily on the macroscopic level of the entire forestry industry, often ignoring careful consideration of specific forests. While this generalized accounting method can provide a rough carbon emission overview, it does not accurately reflect the specific roles and contributions of different woods in the carbon cycle. For example, illicium verum is finely classified according to factors such as the condition of the site and the yield level. On the basis, a proper operation strategy can be provided for each type of octagon Lin Dingzhi, and the production efficiency is improved through improvement measures. Meanwhile, detailed accounting of carbon emission is performed for each operation mode, so that management measures can be ensured to promote sustainable development of the illicium verum forest and maximize the function of the illicium verum forest as a carbon sink. Carbon emission accounting is a key step in assessing and monitoring carbon emissions, which not only helps to understand current carbon emission conditions, but also predicts future carbon emission trends. Carbon emissions accounting system boundaries refer to the process of quantifying greenhouse gases produced directly and indirectly by the activities of forest products over the life cycle from seeds to products. The invention es