Forest carbon sink meteorological influence assessment method, system, equipment, medium and product

Abstract

The invention discloses a forest carbon sink meteorological influence assessment method, system, device, medium and product, and relates to the field of ecological environment, the method comprises the following steps: based on meteorological data, adopting an individual-based forest carbon income and expenditure model to estimate an actual forest carbon sink amount; estimating a potential forest carbon sink amount based on a difference value between the potential net primary productivity and a soil microorganism respiration carbon consumption amount; based on the actual forest carbon sink amount and the potential forest carbon sink amount, establishing a forest carbon sink climate utilization rate estimation model by using a ratio method, and calculating a forest carbon sink climate resource utilization rate; based on the forest carbon sink climate utilization rate, constructing a forest carbon sink meteorological influence evaluation model by adopting a distance-average percentage method, and calculating a forest carbon sink meteorological influence index; and determining a forest carbon sink meteorological influence grade based on the forest carbon sink meteorological influence index, and completing forest carbon sink meteorological influence evaluation. According to the method, the carbon sink function of the forest ecosystem and the response of the carbon sink function to meteorological condition changes can be quantitatively and dynamically evaluated.

Description

Technical Field

[0001] This application relates to the field of ecological environment, and in particular to a method, system, equipment, medium and product for assessing the meteorological impact of forest carbon sinks. Background Technology

[0002] As the largest carbon sink in terrestrial ecosystems, forests play a crucial role in the global carbon cycle through their carbon sequestration function (their ability to absorb and fix carbon dioxide from the atmosphere through photosynthesis). This function is a key support for addressing climate change and achieving the "dual carbon" goals. Accurately assessing the dynamic changes and influencing factors of forest carbon sequestration is of great significance for accurately calculating the value of carbon sequestration, formulating scientific forest management strategies, and enhancing climate resilience.

[0003] However, current forest carbon sequestration impact assessment technologies still have many limitations, making it difficult to meet the precise and differentiated needs of practical applications. Specifically: (1) Single assessment time scale: Existing methods mostly focus on static assessment at the annual scale, lacking the ability to capture the fluctuations of meteorological conditions at short time scales such as months and seasons; forest carbon sink processes have significant seasonal differences, and the annual changes in meteorological elements such as temperature and precipitation will directly affect key carbon cycle processes such as vegetation photosynthesis, respiration and shedding. Assessment at a single time scale cannot reflect the short-term impact and cumulative effect of meteorological conditions on forest carbon sinks, and it is difficult to support the accurate tracking of dynamic changes in carbon sinks. (2) Insufficient climate attribution analysis: Forest carbon sink changes are the result of the combined effects of multiple factors, including meteorological factors, soil conditions, vegetation type, and human activities. Existing technologies mostly use simple correlation analysis or statistical models, which fail to effectively separate the independent contributions of meteorological factors from other confounding factors and cannot accurately quantify the impact rate of meteorological conditions on carbon sink changes. This makes it difficult to identify the core meteorological drivers of carbon sink fluctuations in the assessment results, thus hindering a deeper understanding of the mechanism by which carbon sinks respond to meteorological changes. (3) Insufficient precision in meteorological service decision-making: Existing assessment results are mostly based on carbon sequestration calculations, lacking a hierarchical and categorized characterization of the degree of meteorological impact, making it difficult to directly translate into practical strategies for forest management, risk warning, and climate adaptation. For example, it is impossible to clearly define the carbon sequestration potential or risk level of different regions under different meteorological conditions, making it difficult to guide the formulation of differentiated forest tending, disaster prevention and mitigation, and other management measures, resulting in a disconnect between assessment technology and operational service needs. Summary of the Invention

[0004] The purpose of this application is to provide a method, system, equipment, medium, and product for assessing the meteorological impact of forest carbon sinks, which can quantitatively and dynamically assess the carbon sink function of forest ecosystems and their response to changes in meteorological conditions.

[0005] To achieve the above objectives, this application provides the following solution: Firstly, this application provides a method for assessing the meteorological impacts of forest carbon sequestration, including: Estimating actual forest carbon sinks based on meteorological data and individual-based forest carbon budget models; Estimating potential forest carbon sinks based on the difference between potential net primary productivity and carbon consumption by soil microbial respiration; Based on the actual forest carbon sink and the potential forest carbon sink, a forest carbon sink climate utilization rate estimation model is established using the ratio method to calculate the forest carbon sink climate resource utilization rate. Based on the forest carbon sink climate utilization rate, a forest carbon sink meteorological impact assessment model is constructed using the anomaly percentage method, and the forest carbon sink meteorological impact index is calculated. Based on the forest carbon sink meteorological impact index, the forest carbon sink meteorological impact level is determined, and the forest carbon sink meteorological impact assessment is completed.

[0006] Secondly, this application provides a forest carbon sequestration meteorological impact assessment system, including: The actual forest carbon sink estimation module is used to estimate the actual forest carbon sink based on meteorological data and individual-based forest carbon budget models. The potential forest carbon sink estimation module is used to estimate the potential forest carbon sink based on the difference between potential net primary productivity and soil microbial respiration carbon consumption. The forest carbon sink climate resource utilization rate calculation module is used to establish a forest carbon sink climate utilization rate estimation model based on the actual forest carbon sink amount and the potential forest carbon sink amount, and to calculate the forest carbon sink climate resource utilization rate. The forest carbon sink meteorological impact index calculation module is used to construct a forest carbon sink meteorological impact assessment model based on the forest carbon sink climate utilization rate and the anomaly percentage method, and to calculate the forest carbon sink meteorological impact index. The forest carbon sink meteorological impact level determination module is used to determine the forest carbon sink meteorological impact level based on the forest carbon sink meteorological impact index and complete the forest carbon sink meteorological impact assessment.

[0007] Thirdly, this application provides a computer device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the above-described method for assessing the meteorological impact of forest carbon sinks.

[0008] Fourthly, this application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the above-described method for assessing the meteorological impact of forest carbon sequestration.

[0009] Fifthly, this application provides a computer program product, including a computer program that, when executed by a processor, implements the above-described method for assessing the meteorological impact of forest carbon sinks.

[0010] According to the specific embodiments provided in this application, this application has the following technical effects: (1) Achieve dynamic assessment capability at multiple time scales: By integrating meteorological data with high temporal resolution and individual-based forest carbon budget model, the actual carbon sink can be estimated monthly or quarterly, accurately capturing the short-term impact and cumulative effect of meteorological factors such as temperature and precipitation on the forest carbon sink process, breaking through the limitations of traditional annual static assessment, and significantly improving the tracking accuracy of dynamic changes in forest carbon sink. (2) Enhance the independent attribution ability of meteorological factors: By comparing the ratio of "actual forest carbon sink" (constrained by actual meteorological conditions) with "potential forest carbon sink" (the maximum carbon sink that can be realized under ideal climate conditions), the influence of non-meteorological factors such as soil, vegetation type, and human disturbance is effectively removed, thereby quantitatively characterizing the independent contribution rate of meteorological conditions to forest carbon sink and clarifying the core meteorological driving mechanism of carbon sink fluctuation. (3) Supporting operational meteorological services and carbon sink management decisions: Forest carbon sink meteorological impact levels can be directly transformed into carbon sink risk warning, potential assessment and adaptive management strategies, realizing the operationalization of assessment results and decision support value. Attached Figure Description

[0011] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0012] Figure 1 This is a flowchart illustrating a method for assessing the meteorological impact of forest carbon sequestration, provided as an embodiment of this application. Detailed Implementation

[0013] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0014] To make the above-mentioned objectives, features and advantages of this application more apparent and understandable, the application will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0015] In one exemplary embodiment, such as Figure 1 As shown, a method for assessing the meteorological impact of forest carbon sequestration is provided. This method is executed by computer equipment, specifically by a terminal or server alone, or by both a terminal and a server. In this embodiment, the method is described using a server as an example, and includes the following steps S1 to S5.

[0016] S1: Estimate the actual forest carbon sink based on meteorological data and individual-based forest carbon budget models.

[0017] S2: Estimate potential forest carbon sink based on the difference between potential net primary productivity and carbon consumption by soil microbial respiration.

[0018] S3: Based on the actual forest carbon sink and the potential forest carbon sink, establish a forest carbon sink climate utilization rate estimation model using the ratio method, and calculate the forest carbon sink climate resource utilization rate.

[0019] S4: Based on the aforementioned forest carbon sink climate utilization rate, a forest carbon sink meteorological impact assessment model is constructed using the percentage anomaly method, and the forest carbon sink meteorological impact index is calculated.

[0020] S5: Determine the meteorological impact level of forest carbon sink based on the forest carbon sink meteorological impact index, and complete the forest carbon sink meteorological impact assessment.

[0021] By implementing steps S1 to S5 above, this application improves the scientific rigor, spatiotemporal accuracy, and attribution capability of forest carbon sink meteorological impact assessment, and achieves a leap from "total amount accounting" to "impact classification," providing key technical support for accurate forest carbon sink accounting, climate adaptation management, and realization of ecological product value under the "dual carbon" target.

[0022] In a specific embodiment, the individual-based forest carbon budget model in step S1 is driven by daily meteorological conditions, calculates the carbon budget of each tree on a certain area patch, and obtains the carbon budget of the ecosystem per unit area by summing and coupling the soil carbon budget calculated by the soil carbon cycle model.

[0023] The expression for the individual-based forest carbon budget model is: In the formula: GPP, NPP, NEP, RM, RG, RE These are, respectively, the total photosynthetic capacity of the forest, net primary productivity of the ecosystem, net ecosystem productivity, maintenance respiration, growth respiration, and soil heterotrophic respiration; the forest carbon sink is characterized by net ecosystem productivity, when... NEP A value greater than 0 indicates the actual amount of forest carbon sequestration. NEPWhen <0, it represents the actual amount of forest carbon source.

[0024] Photosynthesis: The total photosynthesis of an individual tree and a forest stand per unit area can be expressed as: In the formula, The total daily photosynthesis of tree individual i (kg C / d); The total daily photosynthesis of individual tree i in the stand (kg C / d); The number of hours of sunshine available on that day (h); Photosynthetically active radiation (W / m²) at noon for individual trees 2 ); The maximum possible photosynthetic rate of a single leaf of tree type j [kg C / (m 2 ·h)]; Let be the extinction coefficient of the j-th type of tree, which is dimensionless; Let [kg C / (m] be the initial slope of the light intensity-photosynthesis curve for tree type j]. 2 ·h) / (W / m 2 )]; Let i be the leaf area index of tree individual i over its occupied area; , , , The effects of carbon dioxide concentration, soil moisture conditions, air temperature, and available soil nitrogen on total photosynthesis were analyzed, among which... Available nitrogen in soil (kg N / m³) 2 In this embodiment, we take... =150 is used as a parameter to represent the carbon-nitrogen ratio in assimilation.

[0025] Maintenance respiration: The daily maintenance respiration of a single tree consists of the respiration of leaves, branches, trunk, roots, and fine roots. The respiration of leaves, branches, and trunk constitutes the aboveground respiration, while the respiration of roots and fine roots constitutes the underground respiration. Their maintenance respiration (kg C / d) can be expressed as: In the formula, RM ik For the first i Daily maintenance respiration of trees (kg C / d). The average daytime temperature ( o C); The average nighttime temperature ( o C); The length of day (h); For a temperature of 15 oAt time C, the relative respiration rate of leaves, branches, trunk, roots and fine roots (1 / d). The corresponding carbon pool's capacity (kgC), where k represents the leaves and fine roots, is... For leaf quantity and fine root quantity, when k represents branches, trunk, and roots, the corresponding... This refers to the amount of sapwood (kgC).

[0026] Growth respiration refers to the consumption of primary photosynthetic products during their conversion into structural dry matter. The conversion efficiency depends on the composition of the resulting dry matter. It plays a crucial role in the carbon balance of trees, and net accumulation only occurs when photosynthesis is sufficiently high (greater than maintenance respiration). This model uses a formula for calculating growth respiration that is directly proportional to total photosynthesis minus maintenance respiration; that is, the growth respiration of a single tree is: In the formula, RG i Daily growth and respiration. r g It is the growth and respiration coefficient, which is a constant, generally ranging from 0.2 to 0.3, and is taken as 0.25 in this model.

[0027] Heterotrophic respiration refers to the total amount of carbon dioxide released by soil microorganisms and animals as they decompose soil organic matter and litter. In the model, it is obtained by simulating and summing the decomposition processes of different soil carbon pools (such as litter and humus) daily. The respiration emissions of each carbon pool can be expressed as: In the formula, RE u For the first u Carbon released by respiration in each carbon pool (kg C / m³) 2 / d); D u For the first u Daily decomposition rate of carbon pool (kgC / m³) 2 / d); p u For the first u The proportion of carbon pool respiration; s u The relative decomposition rate (d) is used as a reference. g T , g W These are the influence coefficients of temperature and moisture on the decomposition process, respectively. b It is a constant, with a value of 5.0; Ls The lignin content in the structural lithosphere is taken as zero for the non-structural and metabolic carbon libraries. c u For the first u Difference between soil carbon pool and lignin (kg C / m³) 2 ); sw Soil moisture content (cm); ff It is a constant, taking the value 0.6; FC Field holding capacity (cm); T s Soil temperature ( o C).

[0028] In a specific embodiment, step S2 specifically includes: using the Thornthwaite Memorial climatological model to estimate potential net primary productivity, and using the difference between it and the carbon consumed by soil microbial respiration to establish a forest carbon sink climate monitoring model to estimate the potential forest carbon sink.

[0029] In the formula: Potential carbon sink (gC·m -2 ), For potential net primary productivity (gC·m -2 ), Carbon consumption for soil microbial respiration (gC·m -2 ), This represents the actual evaporation rate (mm). Rainfall (mm) Potential evapotranspiration (mm) The average temperature. It is a logarithmic function with base e.

[0030] In one specific embodiment, the expression for the forest carbon sink climate use rate estimation model is as follows: In the formula: For the first t Forest carbon sequestration climate resource utilization rate over a period of time For the first t Actual forest carbon sequestration during the period (gC·m -2 ), For the first t Potential forest carbon sink over time (gC·m³)-2 ).

[0031] In a specific embodiment, the expression for the forest carbon sequestration meteorological impact assessment model is as follows: In the formula: For the first t Forest carbon sequestration meteorological impact index during the period For the first t Forest carbon sequestration climate resource utilization rate over a period of time For the first t The multi-year average utilization rate of forest carbon sink climate resources over a given period. When <0, it indicates that the evaluation area is the first t Meteorological conditions during a given period are unfavorable for improving the carbon sequestration capacity of forest ecosystems; the smaller the value, the worse the meteorological conditions, and the greater the decrease in carbon sequestration capacity of forest ecosystems. When =0, it indicates that the evaluation region is the first... t Meteorological conditions were normal during the period, consistent with the carbon sequestration capacity of forest ecosystems under multi-year average climatic conditions; when When >0, it indicates that the evaluation area is the first t Meteorological conditions during a given period are conducive to increasing the carbon sequestration capacity of the forest ecosystem. The higher the value, the better the meteorological conditions, indicating a greater increase in the carbon sequestration capacity of the forest ecosystem.

[0032] In a specific embodiment, step S6 specifically includes: when At that time, the meteorological impact level of forest carbon sequestration was determined to be an adverse impact; This is the meteorological impact index of forest carbon sequestration. The threshold for the meteorological impact index of the first forest carbon sink; when At that time, the meteorological impact level of forest carbon sequestration was determined to be a relatively unfavorable impact; The threshold for the meteorological impact index of the second forest carbon sink; when At that time, the meteorological impact level of forest carbon sequestration was determined to be a normal impact; The threshold for the meteorological impact index of the third forest carbon sink; when At that time, the meteorological impact level of forest carbon sequestration was determined to be relatively favorable. The threshold for the fourth forest carbon sink meteorological impact index; when At that time, the meteorological impact level of forest carbon sequestration was determined to be favorable; among them, .

[0033] In this embodiment, The value is -1.0. The value is -0.1. The value is 0.1. The value is set to 1.0. This is based on the forest carbon sequestration meteorological impact index. Based on mathematical and statistical analysis, the meteorological impact level of forest carbon sinks is divided into 5 levels: unfavorable, relatively unfavorable, normal, relatively favorable, and favorable, as shown in Table 1.

[0034] Table 1

[0035] Different levels of meteorological impact on forest carbon sequestration can be marked with different colors on regional maps to visualize the assessment results.

[0036] Based on the same inventive concept, this application also provides a system for implementing the above-described method for assessing the meteorological impacts of forest carbon sinks. The solution provided by this system is similar to the solution described in the above method; therefore, the specific limitations of one or more embodiments of the forest carbon sink meteorological impact assessment system provided below can be found in the limitations of the forest carbon sink meteorological impact assessment method described above, and will not be repeated here.

[0037] In one exemplary embodiment, a forest carbon sink meteorological impact assessment system is provided, including the following modules.

[0038] The actual forest carbon sink estimation module is used to estimate the actual forest carbon sink based on meteorological data and individual-based forest carbon budget models.

[0039] The potential forest carbon sink estimation module is used to estimate the potential forest carbon sink based on the difference between potential net primary productivity and soil microbial respiration carbon consumption.

[0040] The forest carbon sink climate resource utilization rate calculation module is used to establish a forest carbon sink climate utilization rate estimation model based on the actual forest carbon sink amount and the potential forest carbon sink amount, and to calculate the forest carbon sink climate resource utilization rate.

[0041] The forest carbon sink meteorological impact index calculation module is used to construct a forest carbon sink meteorological impact assessment model based on the forest carbon sink climate utilization rate and the anomaly percentage method, and to calculate the forest carbon sink meteorological impact index.

[0042] The forest carbon sink meteorological impact level determination module is used to determine the forest carbon sink meteorological impact level based on the forest carbon sink meteorological impact index and complete the forest carbon sink meteorological impact assessment.

[0043] In an exemplary embodiment, a computer device is provided, including a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the steps in the above-described method embodiments. The computer device may be a server or a terminal. The computer device includes a processor, a memory, an input / output interface (I / O), and a communication interface. The processor, memory, and I / O are connected via a system bus, and the communication interface is connected to the system bus via the I / O interface. The processor of the computer device provides computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and computer program in the non-volatile storage medium. The database of the computer device stores data to be processed. The I / O interface of the computer device is used for exchanging information between the processor and external devices. The communication interface of the computer device is used for communicating with an external terminal via a network connection. When the computer program is executed by the processor, it implements the steps in the above-described method embodiments.

[0044] In one exemplary embodiment, a computer-readable storage medium is provided storing a computer program that, when executed by a processor, implements the steps in the above-described method embodiments.

[0045] In one exemplary embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps in the above-described method embodiments.

[0046] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of the relevant data must comply with relevant regulations.

[0047] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments described above. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM).

[0048] The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0049] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0050] This document uses specific examples to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only for the purpose of helping to understand the methods and core ideas of this application. Furthermore, those skilled in the art will recognize that, based on the ideas of this application, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A method for assessing the meteorological impacts of forest carbon sequestration, characterized in that, include: Based on meteorological data, an individual-based forest carbon budget model is used to estimate the actual forest carbon sink. Estimating potential forest carbon sinks based on the difference between potential net primary productivity and carbon consumption by soil microbial respiration; Based on the actual forest carbon sink and the potential forest carbon sink, a forest carbon sink climate utilization rate estimation model is established using the ratio method to calculate the forest carbon sink climate resource utilization rate. Based on the forest carbon sink climate utilization rate, a forest carbon sink meteorological impact assessment model is constructed using the anomaly percentage method, and the forest carbon sink meteorological impact index is calculated. Based on the forest carbon sink meteorological impact index, the forest carbon sink meteorological impact level is determined, and the forest carbon sink meteorological impact assessment is completed.

2. The method for assessing the meteorological impact of forest carbon sequestration according to claim 1, characterized in that, The expression for the individual-based forest carbon budget model is as follows: in, GPP, NPP, NEP, RM, RG, RE These are, respectively, the total photosynthetic capacity of the forest, net primary productivity of the ecosystem, net ecosystem productivity, maintenance respiration, growth respiration, and soil heterotrophic respiration; the forest carbon sink is characterized by net ecosystem productivity, when... NEP A value greater than 0 indicates the actual amount of forest carbon sequestration. NEP When <0, it represents the actual amount of forest carbon source.

3. The method for assessing the meteorological impact of forest carbon sequestration according to claim 1, characterized in that, The formula for calculating the potential forest carbon sink is as follows: in, Potential forest carbon sinks For potential net primary productivity, Carbon consumed by soil microbial respiration. This represents the actual evaporation rate. For precipitation, Potential evaporation The average temperature. It is a logarithmic function with base e.

4. The method for assessing the meteorological impact of forest carbon sequestration according to claim 1, characterized in that, The expression for the forest carbon sink climate use rate estimation model is as follows: in, For the first t Forest carbon sequestration climate resource utilization rate over time period For the first t Actual forest carbon sequestration during the period For the first t Potential forest carbon sequestration over a given period.

5. The method for assessing the meteorological impact of forest carbon sequestration according to claim 1, characterized in that, The expression for the meteorological impact assessment model of forest carbon sequestration is as follows: in, For the first t Forest carbon sequestration meteorological impact index during the period For the first t Forest carbon sequestration climate resource utilization rate over time period For the first t Average utilization rate of forest carbon sink climate resources over multiple years.

6. The method for assessing the meteorological impact of forest carbon sequestration according to claim 1, characterized in that, The forest carbon sink meteorological impact level is determined based on the aforementioned forest carbon sink meteorological impact index, specifically including: when At that time, the meteorological impact level of forest carbon sequestration was determined to be an adverse impact; This is the meteorological impact index of forest carbon sequestration. The threshold for the meteorological impact index of the first forest carbon sink; when At that time, the meteorological impact level of forest carbon sequestration was determined to be a relatively unfavorable impact; The threshold for the meteorological impact index of the second forest carbon sink; when At that time, the meteorological impact level of forest carbon sequestration was determined to be a normal impact; The threshold for the meteorological impact index of carbon sinks in the third forest; when At that time, the meteorological impact level of forest carbon sequestration was determined to be relatively favorable. The threshold for the fourth forest carbon sink meteorological impact index; when At that time, the meteorological impact level of forest carbon sequestration was determined to be favorable. in, .

7. A forest carbon sequestration meteorological impact assessment system, characterized in that, include: The actual forest carbon sink estimation module is used to estimate the actual forest carbon sink based on meteorological data and individual-based forest carbon budget models. The potential forest carbon sink estimation module is used to estimate the potential forest carbon sink based on the difference between potential net primary productivity and soil microbial respiration carbon consumption. The forest carbon sink climate resource utilization rate calculation module is used to establish a forest carbon sink climate utilization rate estimation model based on the actual forest carbon sink amount and the potential forest carbon sink amount, and to calculate the forest carbon sink climate resource utilization rate. The forest carbon sink meteorological impact index calculation module is used to construct a forest carbon sink meteorological impact assessment model based on the forest carbon sink climate utilization rate and the anomaly percentage method, and to calculate the forest carbon sink meteorological impact index. The forest carbon sink meteorological impact level determination module is used to determine the forest carbon sink meteorological impact level based on the forest carbon sink meteorological impact index and complete the forest carbon sink meteorological impact assessment.

8. A computer device, comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that the processor executes the computer program to implement the forest carbon sink meteorological impact assessment method according to any one of claims 1-6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the computer program implements the forest carbon sink meteorological impact assessment method as described in any one of claims 1-6.

10. A computer program product, comprising a computer program, characterized in that, When executed by a processor, the computer program implements the forest carbon sink meteorological impact assessment method as described in any one of claims 1-6.

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