A long-term dynamic evaluation method for carbon sink of artificial forest adaptable to various tree species
By calculating the intrinsic growth rate of vegetation and constructing a carbon storage formula, and verifying it with meteorological and remote sensing data, the problem of accuracy in predicting carbon sinks in multi-species plantations was solved. This enabled accurate prediction and long-term trend analysis of carbon sinks in plantations of different tree species, supporting carbon trading and forestry management.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HARBIN NORTHEAST FORESTRY UNIVERSITY ASSET MANAGEMENT CO LTD
- Filing Date
- 2025-07-28
- Publication Date
- 2026-05-05
AI Technical Summary
Existing technologies struggle to accurately predict carbon sequestration in multi-species plantations on large regional scales and fail to effectively integrate climate change factors, resulting in inaccurate predictions of long-term carbon sequestration trends.
By obtaining initial data to calculate the intrinsic growth rate of vegetation and the maximum living biomass, a carbon storage calculation formula is constructed. This formula is then validated using meteorological and remote sensing data. A tree species coefficient is constructed to estimate carbon sink, which is applicable to mixed forests with multiple tree species.
It enables accurate prediction of carbon sinks in plantations of different tree species, improves the accuracy of long-term carbon sink prediction, and supports the optimization of decision-making in carbon trading markets and forestry management.
Smart Images
Figure CN120893687B_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the field of plantation carbon sequestration assessment technology, specifically involving a long-term dynamic assessment method for plantation carbon sequestration that can be adapted to multiple tree species. Background Technology
[0002] Current forestry carbon sequestration prediction technologies mainly revolve around three major directions: single tree species models, small-scale monitoring, and field measurement and statistical methods.
[0003] Traditional carbon sequestration methods based on ground-based sample plot surveys involve establishing fixed sample plots, manually measuring parameters such as diameter at breast height (DBH), tree height, and biomass, and then using allometric growth equations to estimate carbon storage. This method relies on field sampling and is only applicable to small forest stands (typically ≤1 km²). However, its limitations include the difficulty in extrapolating sample data to regional scales (e.g., provincial or higher), high costs and long cycles of manual surveys, the need to establish independent biomass equations for different tree species, the inability to quantify carbon sequestration interactions in mixed forests, and the failure to integrate climate change factors (such as temperature and precipitation fluctuations), making it impossible to predict long-term carbon sequestration trends.
[0004] Carbon sink prediction techniques that couple remote sensing with models utilize satellite remote sensing to extract forest cover information and combine it with ecosystem process models to estimate carbon flux. However, remote sensing data is not effectively coupled with ground-based carbon cycle parameters, resulting in significant biases in carbon sink estimation. Summary of the Invention
[0005] The problem this invention aims to solve is to improve the accuracy of long-term dynamic assessment of carbon sequestration in plantations, and proposes a long-term dynamic assessment method for carbon sequestration in plantations that is adaptable to multiple tree species.
[0006] To achieve the above objectives, the present invention provides the following technical solution:
[0007] A method for long-term dynamic assessment of carbon sequestration in plantations that is adaptable to multiple tree species includes the following steps:
[0008] S1. Identify the areas where carbon sinks need to be assessed and obtain initial data, including the carbon content coefficients of different plantation tree species, the initial biomass per unit area of plantation at different ages, the initial age of the plantation and the age at the time of assessment, the average annual temperature and the average annual precipitation.
[0009] S2. Based on the initial data obtained in step S1, calculate the intrinsic vegetation growth rate and the maximum biomass per unit area of different plantations;
[0010] S3. Construct a formula for calculating the carbon storage of plantation biomass and calculate the carbon storage of plantation biomass;
[0011] S4. Verify the carbon storage of plantation biomass calculated in step S3 with the carbon storage of biomass from the field survey.
[0012] S5. Construct tree species coefficients corresponding to different tree species growth rates, and then estimate the vegetation biomass carbon sink of different plantations based on the plantation biomass carbon storage obtained after verification in step S4.
[0013] Furthermore, the specific implementation method of step S2 includes the following steps:
[0014] S2.1. Calculate the intrinsic vegetation growth rate of different plantations using the following formula:
[0015]
[0016] in, Let be the intrinsic vegetation growth rate of the j-th tree species, and 'a' be the first empirical coefficient. The second empirical coefficient, The third empirical coefficient, The fourth empirical coefficient, The average annual temperature is expressed in degrees Celsius. This represents the average annual precipitation, expressed in millimeters.
[0017] The average annual temperature and average annual precipitation are obtained from meteorological data or extracted by interpolation from satellite remote sensing data;
[0018] S2.2. Calculate the maximum viable biomass per unit area of the plantation. The calculation formula is as follows:
[0019]
[0020] in, Let be the maximum viable biomass per unit area for the j-th tree species, expressed in tons per hectare. The fifth empirical coefficient, h is the sixth empirical coefficient, and h is the seventh empirical coefficient. The eighth empirical coefficient, It is the ninth empirical coefficient. The tenth empirical coefficient, It is the eleventh empirical coefficient.
[0021] Furthermore, the formula for calculating the carbon storage of plantation biomass constructed in step S3 is as follows:
[0022]
[0023] in, The carbon storage of plantation biomass for the j-th tree species is expressed in tons of carbon per hectare. Carbon content coefficient, in percentage. Age0 represents the initial living biomass per unit area of the plantation at its initial age, while age represents the age in years.
[0024] Furthermore, the verification test in step S4 uses R... 2 The value is evaluated.
[0025] Furthermore, the specific implementation method of step S5 includes the following steps:
[0026] S5.1. Construct the tree species coefficients corresponding to the growth rates of different tree species. The calculation formula is as follows:
[0027]
[0028] in, Let be the tree species coefficient corresponding to the growth rate of the j-th tree species. The biomass of plantation vegetation at age 'age';
[0029] S5.2. Based on the plantation biomass carbon storage obtained after verification in step S4, estimate the vegetation biomass carbon sink of different plantations. The calculation formula is as follows:
[0030]
[0031] in, Let be the vegetation biomass carbon sink for the j-th tree species. This refers to the interval time.
[0032] The beneficial effects of this invention are:
[0033] This invention presents a long-term dynamic assessment method for carbon sequestration in plantations, adaptable to various tree species. It overcomes the errors in carbon sequestration caused by traditional prediction methods neglecting differences in tree species biomass, enabling accurate prediction of carbon sequestration in plantations of larch, red pine, Scots pine, poplar, and spruce at various scales. This improves the accuracy of long-term carbon sequestration prediction in afforestation, maximizing the economic and ecological benefits of plantation.
[0034] The present invention provides a long-term dynamic assessment method for carbon sequestration in plantations that is adaptable to multiple tree species, and uses a multi-tree-species plantation carbon sequestration assessment method to predict the carbon sequestration change trend under different climate scenarios.
[0035] The present invention provides a long-term dynamic assessment method for carbon sinks in plantations that is adaptable to multiple tree species. This method provides carbon sink prediction data for plantations of multiple tree species for the carbon trading market, supports the registration, monitoring and verification of carbon sink projects, and meets the requirements of data accuracy and timeliness of international carbon credit mechanisms.
[0036] The present invention provides a long-term dynamic assessment method for carbon sequestration in plantations that is adaptable to multiple tree species. This method serves forestry management departments and ecological engineering construction units. By predicting the carbon sequestration potential of different tree species, it optimizes the configuration of afforestation tree species and management measures to maximize regional carbon sequestration capacity.
[0037] The present invention provides a long-term dynamic assessment method for carbon sequestration in plantations that is adaptable to various tree species, serving as a comprehensive ecological benefit assessment tool for ecological restoration, biodiversity conservation, and other purposes. Attached Figure Description
[0038] Figure 1 This is a flowchart of a long-term dynamic assessment method for carbon sequestration in plantations that can be adapted to multiple tree species, as described in this invention.
[0039] Figure 2 This is a verification test diagram showing the biomass carbon storage of larch vegetation in this invention compared with the biomass carbon storage from a field survey.
[0040] Figure 3 This is a verification test diagram showing the biomass carbon storage of Pinus sylvestris vegetation in this invention and the biomass carbon storage from a field survey.
[0041] Figure 4 This is a verification test diagram showing the biomass carbon storage of Korean pine vegetation and the biomass carbon storage from a field survey.
[0042] Figure 5 This is a verification test diagram showing the biomass carbon storage of poplar vegetation in this invention compared with the biomass carbon storage from a field survey.
[0043] Figure 6 This is a verification test diagram of the biomass carbon storage of spruce vegetation in this invention and the biomass carbon storage of field surveys. Detailed Implementation
[0044] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only for explaining the invention and are not intended to limit the invention; that is, the described specific embodiments are merely a part of the embodiments of the invention, and not all of them. The components of the specific embodiments of the invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations, and the invention may also have other embodiments.
[0045] Therefore, the following detailed description of specific embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected specific embodiments of the invention. All other specific embodiments obtained by those skilled in the art based on these specific embodiments without inventive effort are within the scope of protection of this invention.
[0046] To further understand the invention's content, features, and effects, the following specific embodiments are provided, along with accompanying drawings. Figure 1 - Appendix Figure 6 Detailed explanation is as follows:
[0047] Example 1:
[0048] A method for long-term dynamic assessment of carbon sequestration in plantations that is adaptable to multiple tree species includes the following steps:
[0049] S1. Identify the areas where carbon sinks need to be assessed and obtain initial data, including the carbon content coefficients of different plantation tree species, the initial biomass per unit area of plantation at different ages, the initial age of the plantation and the age at the time of assessment, the average annual temperature and the average annual precipitation.
[0050] Furthermore, the above parameters can be obtained by conducting actual surveys. If there is no actual survey data, satellite remote sensing data interpolation can be used to extract the actual survey data.
[0051] S2. Based on the initial data obtained in step S1, calculate the intrinsic vegetation growth rate and the maximum biomass per unit area of different plantations;
[0052] Furthermore, the specific implementation method of step S2 includes the following steps:
[0053] S2.1. Calculate the intrinsic vegetation growth rate of different plantations using the following formula:
[0054]
[0055] in, Let be the intrinsic vegetation growth rate of the j-th tree species, and 'a' be the first empirical coefficient. The second empirical coefficient, The third empirical coefficient, The fourth empirical coefficient, The average annual temperature is expressed in degrees Celsius. This represents the average annual precipitation, expressed in millimeters.
[0056] The average annual temperature and average annual precipitation are obtained from meteorological data or extracted by interpolation from satellite remote sensing data;
[0057] S2.2. Calculate the maximum viable biomass per unit area of the plantation. The calculation formula is as follows:
[0058]
[0059] in, Let be the maximum viable biomass per unit area for the j-th tree species, expressed in tons per hectare. The fifth empirical coefficient, h is the sixth empirical coefficient, and h is the seventh empirical coefficient. The eighth empirical coefficient, It is the ninth empirical coefficient. The tenth empirical coefficient, It is the eleventh empirical coefficient.
[0060] Furthermore, the values of the empirical coefficients are shown in Table 1:
[0061] S3. Construct a formula for calculating the carbon storage of plantation biomass and calculate the carbon storage of plantation biomass;
[0062] Furthermore, the formula for calculating the carbon storage of plantation biomass constructed in step S3 is as follows:
[0063]
[0064] in, The carbon storage of plantation biomass for the j-th tree species is expressed in tons of carbon per hectare. Carbon content coefficient, in percentage. Age0 represents the initial living biomass per unit area of the plantation at its initial age, while age represents the age in years.
[0065] S4. Verify the carbon storage of plantation biomass calculated in step S3 with the carbon storage of biomass from the field survey.
[0066] Furthermore, the verification test in step S4 uses R... 2 The value is evaluated.
[0067] Furthermore, a verification test was conducted to compare the assessed vegetation biomass carbon storage with the biomass carbon storage obtained from the field survey. The test results are as follows: Figures 2-6 As shown, the vertical axis represents the predicted value of this evaluation method, and the horizontal axis represents the measured value from the field. The resulting validation result R... 2 All values were above 0.9, indicating that the evaluation was effective.
[0068] S5. Construct tree species coefficients corresponding to different tree species growth rates, and then estimate the vegetation biomass carbon sink of different plantations based on the plantation biomass carbon storage obtained after verification in step S4.
[0069] Furthermore, the specific implementation method of step S5 includes the following steps:
[0070] S5.1. Construct the tree species coefficients corresponding to the growth rates of different tree species. The calculation formula is as follows:
[0071]
[0072] in, Let be the tree species coefficient corresponding to the growth rate of the j-th tree species. The biomass of plantation vegetation at age 'age';
[0073] S5.2. Based on the plantation biomass carbon storage obtained after verification in step S4, estimate the vegetation biomass carbon sink of different plantations. The calculation formula is as follows:
[0074]
[0075] in, Let be the vegetation biomass carbon sink for the j-th tree species. This refers to the interval time.
[0076] Furthermore, this method for long-term dynamic assessment of carbon sinks in plantations is not limited by scale; it can predict carbon sinks at both large and small scales. The method is simple to use, can directly process mixed tree species, and is easy to operate. Temperature and precipitation data are essential parameters driving the assessment method, enabling accurate prediction of long-term carbon sink trends. This plantation assessment method can provide rapid dynamic estimates of carbon sinks over 0 to 100 years, providing data support for carbon trading market assessments and policymakers' decision-making.
[0077] It should be noted that relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.
[0078] Although this application has been described above with reference to specific embodiments, various modifications can be made and components can be replaced with equivalents without departing from the scope of this application. In particular, as long as there is no structural conflict, the features in the specific embodiments disclosed in this application can be combined with each other in any way. The lack of an exhaustive description of these combinations in this specification is merely for the sake of brevity and resource conservation. Therefore, this application is not limited to the specific embodiments disclosed herein, but includes all technical solutions falling within the scope of the claims.
Claims
1. A long-term dynamic assessment method for carbon sequestration in plantations adaptable to multiple tree species, characterized in that, Includes the following steps: S1. Identify the areas where carbon sinks need to be assessed and obtain initial data, including the carbon content coefficients of different plantation tree species, the initial biomass per unit area of plantation at different ages, the initial age of the plantation and the age at the time of assessment, the average annual temperature and the average annual precipitation. S2. Based on the initial data obtained in step S1, calculate the intrinsic vegetation growth rate and the maximum biomass per unit area of different plantations; S3. Construct a formula for calculating the carbon storage of plantation biomass and calculate the carbon storage of plantation biomass; S4. Verify the carbon storage of plantation biomass calculated in step S3 with the carbon storage of biomass from the field survey. S5. Construct tree species coefficients corresponding to different tree species growth rates, and then estimate the vegetation biomass carbon sink of different plantations based on the plantation biomass carbon storage obtained after verification in step S4. The specific implementation method of step S5 includes the following steps: S5.
1. Construct the tree species coefficients corresponding to the growth rates of different tree species. The calculation formula is as follows: ； in, Let be the tree species coefficient corresponding to the growth rate of the j-th tree species. The biomass of plantation vegetation at age 'age'; S5.
2. Based on the plantation biomass carbon storage obtained after verification in step S4, estimate the vegetation biomass carbon sink of different plantations. The calculation formula is as follows: ； in, Let be the vegetation biomass carbon sink for the j-th tree species. This refers to the interval time.
2. The method for long-term dynamic assessment of carbon sequestration in plantations adaptable to multiple tree species, as described in claim 1, is characterized in that... The specific implementation method of step S2 includes the following steps: S2.
1. Calculate the intrinsic vegetation growth rate of different plantations using the following formula: ； in, Let be the intrinsic vegetation growth rate of the j-th tree species, and 'a' be the first empirical coefficient. The second empirical coefficient, The third empirical coefficient, The fourth empirical coefficient, The average annual temperature is expressed in degrees Celsius. This represents the average annual precipitation, expressed in millimeters. The average annual temperature and average annual precipitation are obtained from meteorological data or extracted by interpolation from satellite remote sensing data; S2.
2. Calculate the maximum viable biomass per unit area of the plantation. The calculation formula is as follows: ； in, Let be the maximum viable biomass per unit area for the j-th tree species, expressed in tons per hectare. The fifth empirical coefficient, h is the sixth empirical coefficient, and h is the seventh empirical coefficient. The eighth empirical coefficient, It is the ninth empirical coefficient. The tenth empirical coefficient, It is the eleventh empirical coefficient.
3. The method for long-term dynamic assessment of carbon sequestration in plantations adaptable to multiple tree species, as described in claim 2, is characterized in that... The formula for calculating the carbon storage of plantation biomass constructed in step S3 is as follows: ； in, The carbon storage of plantation biomass for the j-th tree species is expressed in tons of carbon per hectare. Carbon content coefficient, in percentage. Age0 represents the initial living biomass per unit area of the plantation at its initial age, while age represents the age in years.
4. The method for long-term dynamic assessment of carbon sequestration in plantations adaptable to multiple tree species, as described in claim 3, is characterized in that... The verification test in step S4 uses R 2 The value is evaluated.