Regional ecosystem carbon sink function evaluation system

Abstract

The invention provides a regional ecosystem carbon sink function evaluation system, which is based on remote sensing data and meteorological data, estimates vegetation net primary productivity (NPP) and soil heterotrophic organism respiration consumption (Rh) through a CASA model and a regression equation model respectively, and further calculates net ecosystem productivity (NEP) to evaluate the carbon sink function of a regional ecosystem. The system considers a plurality of parameters such as photosynthetically active radiation (APAR), actual light energy utilization rate (epsilon), a temperature stress factor, a water stress factor and the like, and ensures the accuracy and scientificity of estimation. The system can be widely applied to the fields of regional carbon sink monitoring, ecological environment evaluation, climate change research and the like, and provides a scientific basis for regional sustainable development.

Description

Technical Field

[0001] The present invention relates to the field of intelligent detection, and in particular to a regional ecosystem carbon sink function assessment system. Background Art

[0002] With the intensification of global climate change and the increasing prominence of ecological and environmental problems, accurately assessing the carbon sink function of regional ecosystems has become an important task in current ecological and environmental protection. The carbon sink function refers to the ability of ecosystems to absorb carbon dioxide from the atmosphere through photosynthesis and store it in vegetation and soil, thereby mitigating climate change. However, traditional assessment methods often rely on single remote sensing data or ground observation data, which makes it difficult to fully reflect the carbon sink status of ecosystems and their influencing factors.

[0003] At present, although there are some carbon sink function assessment methods based on remote sensing technology and ecological models, these methods still have many shortcomings. For example, some methods only consider vegetation photosynthesis, but ignore the impact of key processes such as soil respiration on carbon sink function; some methods rely on complex ecological models, but the model parameters are difficult to obtain accurately, resulting in greater uncertainty in the assessment results. In addition, the existing methods are also inefficient when processing large-scale, multi-source data, and it is difficult to meet the real-time and accuracy requirements of regional ecosystem carbon sink function assessment.

[0004] Therefore, there is an urgent need for an efficient and accurate regional ecosystem carbon sink function assessment system and method that can integrate multiple data sources, consider multiple key processes of the ecosystem. The system should be able to make full use of multiple information sources such as remote sensing data and meteorological data, and use advanced mathematical models and algorithms to achieve a comprehensive assessment of the regional ecosystem carbon sink function. At the same time, the system should also be flexible and scalable to meet the assessment needs of different regions and ecosystems, and provide strong support for ecological protection, climate change response, and the formulation of sustainable development strategies.

[0005] Based on the problems and shortcomings existing in the above-mentioned background technology, the present invention proposes a new regional ecosystem carbon sink function assessment system and method, which aims to achieve a more comprehensive, accurate and efficient assessment of the regional ecosystem carbon sink function by integrating multiple data sources, optimizing the assessment model, and improving processing efficiency.

[0006] In order to solve the above problems, the applicant proposed a regional ecosystem carbon sink function assessment system. Summary of the invention

[0007] The purpose of the present invention is to provide a regional ecosystem carbon sink function assessment system to solve the problems in the prior art.

[0008] To achieve the above object, the present invention provides the following technical solution: a regional ecosystem carbon sink function assessment system, the system comprising:

[0009] a) a data acquisition module, used to acquire multiple data sources including remote sensing data and meteorological data, wherein the remote sensing data at least includes normalized difference vegetation index data, and the meteorological data at least includes daily observed temperature, rainfall and sunshine hours;

[0010] b) a data processing module, used to pre-process the acquired data, including but not limited to data correction, format conversion and outlier removal;

[0011] c) Vegetation net primary productivity estimation module, which uses the CASA model to estimate the vegetation net primary productivity of each pixel based on pre-processed remote sensing data and meteorological data;

[0012] d) Soil heterotrophic respiration consumption estimation module, using the regression equation between temperature, precipitation and carbon emissions, based on the monthly average temperature and monthly average rainfall data in the meteorological data, estimates the soil heterotrophic respiration consumption of each pixel;

[0013] e) Net ecosystem productivity calculation module, which calculates the net ecosystem productivity of each pixel by subtracting the respiration consumption of soil heterotrophic organisms from the net primary productivity of vegetation to evaluate the carbon sink function of the regional ecosystem;

[0014] f) Result output module, used to display the calculated net ecosystem productivity data in graphical or tabular form, and provide a comprehensive assessment report on the carbon sink function of the regional ecosystem.

[0015] Optionally, the CASA model estimates the net primary productivity of vegetation by considering photosynthetically active radiation and actual light energy utilization rate, wherein photosynthetically active radiation is calculated by total solar radiation and the ratio of photosynthetically active radiation absorption, and actual light energy utilization rate is affected by temperature stress factors, water stress factors and maximum light energy utilization rate.

[0016] Optionally, the system also includes a climate condition analysis module for analyzing and displaying the spatial distribution and changing trends of multi-year average rainfall, average temperature and normalized difference vegetation index (NDVI) in the study area, so as to provide an in-depth understanding of the factors affecting the carbon sink function of the ecosystem.

[0017] Optionally, the system supports users to customize research areas, time ranges, and evaluation indicators to meet the specific needs of different users and research projects.

[0018] Optionally, the system further includes a data verification module for verifying the accuracy and reliability of the estimation results by comparing with data from other sources or field measurement data.

[0019] Optionally, the system can also simulate the impact of policies or management measures input by users on the carbon sink function of regional ecosystems, providing support for the formulation of ecological protection and climate change response strategies.

[0020] Beneficial effects: Improved evaluation accuracy:

[0021] The CASA model is used to estimate the net primary productivity (NPP) of vegetation, which fully considers the temporal and spatial variations of photosynthetically active radiation (APAR) and actual light energy utilization efficiency (ε), thereby improving the accuracy of NPP estimation.

[0022] The regression equation model was used to estimate the respiration consumption (Rh) of soil heterotrophic organisms, taking into account the effects of temperature and precipitation on soil respiration, further improving the calculation accuracy of net ecosystem productivity (NEP).

[0023] Achieve large-scale regional assessment:

[0024] The system can realize large-scale ecosystem carbon sink function assessment based on large areas covered by remote sensing data, providing a scientific basis for carbon sink management and policy formulation at the regional and even national levels.

[0025] Dynamic monitoring and prediction:

[0026] By continuously collecting remote sensing data and meteorological information, the system can dynamically monitor the carbon sequestration function of regional ecosystems and promptly reflect the changing trends in carbon sequestration capacity.

[0027] Combining historical data and model predictions, the system can also predict carbon sequestration capacity for a period of time in the future, providing support for long-term planning and management.

[0028] Promoting rational use of resources:

[0029] The assessment results will help identify areas with high carbon sink capacity, provide guidance for the site selection and layout of carbon sink projects such as forestry and agriculture, and promote the rational use of land resources.

[0030] By optimizing land use and restoring vegetation, the carbon sequestration capacity of regional ecosystems can be further improved to combat global climate change. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 Schematic diagram of the overall framework of the net primary productivity (NPP) estimation model according to an embodiment of the present invention;

[0032] Figure 2 It is a flow chart of light energy utilization rate according to an embodiment of the present invention. DETAILED DESCRIPTION

[0033] The following describes the preferred embodiments of the present invention with reference to the drawings in the specification, so that the technical content is clearer and easier to understand. The present invention can be embodied in many different forms of embodiments, and the protection scope of the present invention is not limited to the embodiments mentioned in the text.

[0034] In the drawings, components with the same structure are indicated by the same numerical reference numerals, and components with similar structures or functions are indicated by similar numerical reference numerals. The size and thickness of each component shown in the drawings are arbitrarily shown, and the present invention does not limit the size and thickness of each component. In order to make the illustration clearer, the thickness of the components is appropriately exaggerated in some places in the drawings.

[0035] Example 1

[0036] In-depth analysis of a regional ecosystem carbon sink function assessment system

[0037] In the context of global climate change and ecological degradation, accurate assessment of the carbon sink function of regional ecosystems is of great significance for formulating effective ecological protection strategies, responding to climate change, and promoting sustainable development. This paper will deeply analyze the technical details, implementation steps and expected effects of a regional ecosystem carbon sink function assessment system, in order to provide a reference for researchers and decision makers in related fields.

[0038] 1. System Overview and Architecture

[0039] This system aims to comprehensively and accurately evaluate the carbon sink function of regional ecosystems by integrating multiple data sources such as remote sensing data and meteorological data, and using advanced mathematical models and algorithms. The system architecture mainly includes data acquisition, data processing, vegetation net primary productivity (NPP) estimation, soil heterotrophic respiration consumption (Rh) estimation, net ecosystem productivity (NEP) calculation, result output, and optional climate status analysis, user customization, data verification and policy simulation modules.

[0040] 2. Technical Details and Key Modules

[0041] Data acquisition and processing

[0042] The data acquisition module is responsible for collecting multiple data sources including remote sensing data (such as MODIS NDVI products) and meteorological data (such as daily observed temperature, rainfall, sunshine hours, etc.). The data processing module pre-processes the raw data, including data correction, format conversion, and outlier removal, to ensure the accuracy and consistency of the data. Through spatial interpolation, resampling and other methods, data from different sources and different resolutions are unified to the same spatiotemporal scale, providing a reliable data basis for subsequent analysis.

[0043] Estimation of vegetation net primary productivity (NPP)

[0044] Based on the CASA model, this system can estimate the net primary productivity of vegetation in each pixel. The CASA model comprehensively considers two key factors: photosynthetically active radiation (APAR) and actual light energy utilization rate (ε). APAR is calculated from total solar radiation and FPAR, and ε is affected by temperature stress factors, water stress factors and εmax. Through this model, the system can accurately reflect the productivity of different vegetation types under different environmental conditions.

[0045] Estimation of soil heterotrophic respiration consumption (Rh)

[0046] Using the regression equation between temperature, precipitation and carbon emissions, the system can estimate the respiration consumption of soil heterotrophic organisms in each pixel. This module is based on a large amount of historical data and ecological principles to ensure the accuracy and reliability of the estimation results. By considering the impact of climate factors on soil respiration, the system can more comprehensively evaluate the carbon sink function of the ecosystem.

[0047] Net Ecosystem Productivity (NEP) calculation

[0048] By subtracting the respiration consumption of soil heterotrophic organisms from the net primary productivity of vegetation, the system can calculate the net ecosystem productivity of each pixel. NEP is an important indicator for measuring the carbon sink function of an ecosystem. The larger its value, the stronger the ability of the ecosystem to absorb and store carbon. The system can generate a spatial distribution map and a time change trend map of NEP to provide users with intuitive evaluation results.

[0049] Result output and optional modules

[0050] The result output module displays the calculated NEP data in a graphical or tabular form, which is convenient for users to intuitively understand the distribution and changes of the carbon sink function of the regional ecosystem. In addition, the system also provides optional modules such as climate condition analysis, user customization, data verification and policy simulation to meet the specific needs of different users and research projects. For example, the climate condition analysis module can display the spatial distribution and changing trends of the multi-year average rainfall, average temperature and NDVI in the study area; the policy simulation module can simulate the impact of different policies or management measures on the carbon sink function of the regional ecosystem, and provide support for the formulation of ecological protection and climate change response strategies.

[0051] 3. Implementation steps and expected results

[0052] The implementation steps of this system include data collection and integration, data preprocessing, model operation and calculation, result display and analysis, as well as optional climate status analysis, user customization and data verification, and policy simulation. Through these steps, the system can achieve a comprehensive and accurate assessment of the carbon sink function of regional ecosystems.

[0053] In terms of expected effects, this system aims to improve the accuracy and reliability of carbon sink function assessment and provide a scientific basis for ecological protection, climate change response and the formulation of sustainable development strategies. By integrating multiple data sources and using advanced mathematical models and algorithms, the system can more comprehensively reflect the carbon sink function of the ecosystem and its influencing factors, providing strong support for research and application in related fields. At the same time, the flexibility and scalability of the system also enable it to adapt to the needs of different users and research projects, and promote the in-depth development of regional ecosystem carbon sink function assessment.

[0054] The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention. It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and the present invention can be implemented in other specific forms without departing from the spirit or basic features of the present invention. Therefore, no matter from which point of view, the embodiments should be regarded as exemplary and non-restrictive. The scope of the present invention is defined by the attached claims rather than the above description, and it is intended that all changes falling within the meaning and scope of the equivalent elements of the claims are included in the present invention. Any figure mark in the claims should not be regarded as limiting the claims involved.

[0055] In addition, it should be understood that although the present specification is described according to implementation modes, not every implementation mode contains only one independent technical solution. This description of the specification is only for the sake of clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each embodiment may also be appropriately combined to form other implementation modes that can be understood by those skilled in the art.

Claims

1. A regional ecosystem carbon sink function assessment system, characterized in that: The system includes: a) a data acquisition module, used to acquire multiple data sources including remote sensing data and meteorological data, wherein the remote sensing data at least includes normalized difference vegetation index data, and the meteorological data at least includes daily observed temperature, rainfall and sunshine hours; b) a data processing module, used to pre-process the acquired data, including but not limited to data correction, format conversion and outlier removal; c) Vegetation net primary productivity estimation module, which uses the CASA model to estimate the vegetation net primary productivity of each pixel based on pre-processed remote sensing data and meteorological data; d) Soil heterotrophic respiration consumption estimation module, using the regression equation between temperature, precipitation and carbon emissions, based on the monthly average temperature and monthly average rainfall data in the meteorological data, estimates the soil heterotrophic respiration consumption of each pixel; e) Net ecosystem productivity calculation module, which calculates the net ecosystem productivity of each pixel by subtracting the respiration consumption of soil heterotrophic organisms from the net primary productivity of vegetation to evaluate the carbon sink function of the regional ecosystem; f) Result output module, used to display the calculated net ecosystem productivity data in graphical or tabular form, and provide a comprehensive assessment report on the carbon sink function of the regional ecosystem.

2. The regional ecosystem carbon sink function assessment system according to claim 1, characterized in that: The CASA model estimates the net primary productivity of vegetation by considering photosynthetically active radiation and actual light energy utilization rate, where photosynthetically active radiation is calculated from the total solar radiation and the photosynthetically active radiation absorption ratio, and the actual light energy utilization rate is affected by temperature stress factors, water stress factors and maximum light energy utilization rate.

3. The regional ecosystem carbon sink function assessment system according to claim 1, characterized in that: The system also includes a climate condition analysis module for analyzing and displaying the spatial distribution and changing trends of multi-year average rainfall, average temperature and normalized difference vegetation index (NDVI) in the study area, so as to provide an in-depth understanding of the factors affecting the carbon sink function of the ecosystem.

4. The regional ecosystem carbon sink function assessment system according to claim 1, characterized in that: The system supports users to customize research areas, time ranges and evaluation indicators to meet the specific needs of different users and research projects.

5. The regional ecosystem carbon sink function assessment system according to claim 1, characterized in that: The system further includes a data verification module for verifying the accuracy and reliability of the estimation results by comparing with data from other sources or field measurement data.

6. The regional ecosystem carbon sink function assessment system according to claim 1, characterized in that: The system can also simulate the impact of policies or management measures input by users on the carbon sink function of regional ecosystems, providing support for the formulation of ecological protection and climate change response strategies.

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