Self-adaptive detection method and system for interference recovery of carbon sequestration capacity of ecological system

Abstract

The invention provides an ecological system carbon sequestration capability interference recovery self-adaptive detection method and system, and relates to the field of ecological environment data processing. The method comprises the following steps: based on a plurality of ecological system type factors, an interference identification factor, a carbon sequestration capability index and an interference recovery index; obtaining type related information and carbon sequestration capability interference recovery detection data of a plurality of sample ecosystems, and determining a plurality of ecosystem types and key interference identification factors, key carbon sequestration capability indexes and key interference recovery indexes of each ecosystem type; determining an ecological system type to which the to-be-detected ecological system belongs; based on the key interference identification factor and the key carbon sequestration capability index, interference identification data and carbon sequestration capability data are obtained, an interference time period is determined, the key interference recovery index is combined, interference recovery data are obtained, and the carbon sequestration capability interference recovery progress is evaluated. The method has the advantage of improving the efficiency and accuracy of carbon sequestration capacity interference recovery detection of the ecological system.

Description

Technical Field

[0001] The present invention relates to the field of ecological environment data processing, and particularly to an adaptive detection method and system for the interference recovery of the carbon sequestration capacity of an ecosystem. Background Art

[0002] The ecosystem itself is in dynamic balance and has a certain elasticity and resilience. The interference fluctuations within this elastic range, that is, moderate interference, can bring certain external stimuli and vitality to the ecosystem, and promote species diversity and the healthy development of the ecosystem. However, when the interference becomes frequent or intense, the resilience of the ecosystem may be challenged, resulting in the ecosystem being unable to recover to its original balance state in a timely manner. Frequent or intense ecosystem interference may cause the ecosystem to be unable to recover its carbon sequestration capacity in a timely manner, and long-term interference may cause the ecosystem to change from a carbon sink to a carbon source. Ecosystem interference has multi-scale characteristics in space and time, involving changes from micro to macro and from short-term to long-term. The multi-scale nature increases the difficulty of integrating different data and results.

[0003] Existing technologies for detecting the interference recovery of the carbon sequestration capacity of an ecosystem use unified indicators and weights, and cannot accurately reflect the differences in the carbon sequestration mechanisms of different ecosystems. For example, the forest ecosystem mainly focuses on the carbon storage in above-ground biomass, while the wetland focuses on the accumulation of soil organic carbon. The unified indicator will cover up the key carbon sequestration processes of each system, resulting in the evaluation results deviating from the actual situation. Secondly, data acquisition and integration are another major challenge. Existing technologies for detecting the interference recovery of the carbon sequestration capacity of an ecosystem require high-quality data in multiple aspects such as biology, climate, hydrology, and soil. The workload of invalid data is relatively large, the cost is high, and the detection efficiency is low.

[0004] Therefore, it is necessary to provide an adaptive detection method and system for the interference recovery of the carbon sequestration capacity of an ecosystem to improve the efficiency and accuracy of detecting the interference recovery of the carbon sequestration capacity of an ecosystem. Summary of the Invention

[0005] The present invention provides an adaptive detection method for the interference recovery of the carbon sequestration capacity of an ecosystem, including: determining a plurality of ecosystem type factors, interference identification factors, carbon sequestration capacity indicators, and interference recovery indicators; based on the plurality of ecosystem type factors, interference identification factors, carbon sequestration capacity indicators, and interference recovery indicators, obtaining the type-related information and carbon sequestration capacity interference recovery detection data of a plurality of sample ecosystems; determining a plurality of ecosystem types according to the type-related information of the plurality of sample ecosystems; determining the key interference identification factors, key carbon sequestration capacity indicators, and key interference recovery indicators of each ecosystem type according to the carbon sequestration capacity interference recovery detection data of the plurality of sample ecosystems; determining the ecosystem type to which the ecosystem to be detected belongs according to the type-related information of the ecosystem to be detected; obtaining the interference identification data and carbon sequestration capacity data of the ecosystem to be detected based on the key interference identification factors and key carbon sequestration capacity indicators of the ecosystem type to which the ecosystem to be detected belongs; determining the interference time period of the ecosystem to be detected according to the interference identification data and carbon sequestration capacity data of the ecosystem to be detected; obtaining the interference recovery data of the ecosystem to be detected based on the interference time period of the ecosystem to be detected and the key interference recovery indicators of the ecosystem type to which the ecosystem to be detected belongs, and performing an assessment of the progress of the interference recovery of the carbon sequestration capacity.

[0006] Further, the type-related information of the sample ecosystem at least includes the factor values of the sample ecosystem corresponding to each ecosystem type factor; determining a plurality of ecosystem types according to the type-related information of the plurality of sample ecosystems includes: calculating the ecosystem type similarity of any two sample ecosystems according to the factor values of the any two sample ecosystems corresponding to each ecosystem type factor; dividing the plurality of sample ecosystems into a plurality of sample ecosystem groups according to the ecosystem type similarity of the any two sample ecosystems, wherein one sample ecosystem group corresponds to one ecosystem type.

[0007] Further, the detection data of the carbon sequestration capacity interference recovery of the sample ecosystem includes interference identification data, carbon sequestration capacity data, and interference recovery data. Among them, the interference identification data includes the factor values of each interference identification factor at multiple sample time points, the carbon sequestration capacity data includes the index values of each carbon sequestration capacity index at multiple sample time points, and the interference recovery data includes the index values of each interference recovery index at multiple sample interference recovery time points; according to the detection data of the carbon sequestration capacity interference recovery of multiple sample ecosystems, determine the key interference identification factors of each ecosystem type, including: for each ecosystem type, based on the index values of each carbon sequestration capacity index corresponding to each sample ecosystem included in the ecosystem type at multiple sample time points, calculate the dynamic difference coefficient of each carbon sequestration capacity index corresponding to the ecosystem type, and based on the dynamic difference coefficient of each carbon sequestration capacity index corresponding to the ecosystem type, determine the key carbon sequestration capacity index of the ecosystem type and the weight of each key carbon sequestration capacity index.

[0008] Further, according to the detection data of the carbon sequestration capacity interference recovery of multiple sample ecosystems, determine the key interference identification factors and key interference recovery indicators of each ecosystem type, including: for each ecosystem type, based on the key carbon sequestration capacity index of the ecosystem type, determine the candidate interference recovery indicators of the ecosystem type from multiple interference recovery indicators, and based on the index values of each candidate interference recovery indicator corresponding to each sample ecosystem included in the ecosystem type at multiple sample interference recovery time points, calculate the dynamic difference coefficient of each candidate interference recovery indicator corresponding to the ecosystem type, and according to the dynamic difference coefficient of each candidate interference recovery indicator corresponding to the ecosystem type, determine the key interference recovery indicator of the ecosystem type and the weight of each key interference recovery indicator; for each ecosystem type, based on the index values of each key carbon sequestration capacity index corresponding to each sample ecosystem included in the ecosystem type at multiple sample time points and the factor values of each interference identification factor at multiple sample time points, calculate the influence coefficient of each interference identification factor on each key carbon sequestration capacity index, and based on the influence coefficient of each interference identification factor on each key carbon sequestration capacity index, determine the key interference identification factors of the ecosystem type.

[0009] Further, based on the dynamic difference coefficients of the ecosystem types corresponding to each carbon sequestration capacity index, determine the weights of each key carbon sequestration capacity index of the ecosystem type, including: calculating the first weight of each key carbon sequestration capacity index of the ecosystem type through the analytic hierarchy process; determining the second weight of each key carbon sequestration capacity index of the ecosystem type based on the dynamic difference coefficients of the ecosystem types corresponding to each carbon sequestration capacity index; calculating the comprehensive weight of each key interference identification factor of the ecosystem type based on the first weight and the second weight of each key carbon sequestration capacity index of the ecosystem type; determining the weight of each key carbon sequestration capacity index of the ecosystem type based on the comprehensive weight of each key carbon sequestration capacity index of the ecosystem type.

[0010] Further, based on the influence coefficients of each interference identification factor on each key carbon sequestration capacity index, determine the key interference identification factors of the ecosystem type, including: calculating the comprehensive key coefficient of the interference identification factor based on the influence coefficients of each interference identification factor on each key carbon sequestration capacity index and the dynamic difference coefficients of the ecosystem types corresponding to each key carbon sequestration capacity index; determining the key interference identification factors of the ecosystem type based on the comprehensive key coefficient of each interference identification factor.

[0011] Further, according to the type-related information of the ecosystem to be detected, determine the ecosystem type to which the ecosystem to be detected belongs, including: for each ecosystem type, determining the type-related information corresponding to the ecosystem type based on the factor values of each sample ecosystem included in the ecosystem type corresponding to each ecosystem type factor; calculating the attribution coefficient of the ecosystem to be detected to each ecosystem type based on the type-related information of the ecosystem to be detected and the type-related information corresponding to each ecosystem type; determining the ecosystem type to which the ecosystem to be detected belongs based on the attribution coefficient of the ecosystem to be detected to each ecosystem type.

[0012] Further, the interference identification data of the ecosystem to be detected includes the index values of each key interference identification factor of the ecosystem type to which the ecosystem to be detected belongs at multiple historical time points, and the carbon sequestration capacity data of the ecosystem to be detected includes the index values of each key interference identification factor of the ecosystem type to which the ecosystem to be detected belongs at multiple historical time points; according to the interference identification data and the carbon sequestration capacity data of the ecosystem to be detected, determine the interference time period of the ecosystem to be detected, including: determining the carbon sequestration capacity baseline of each ecosystem type; determining the interference time period of the ecosystem to be detected based on the interference identification data, the carbon sequestration capacity data of the ecosystem to be detected, and the carbon sequestration capacity baseline of the ecosystem type to which the ecosystem to be detected belongs.

[0013] Further, the carbon sequestration capacity index at least includes a moisture-vegetation coupling index, and the calculation formula is:

[0014]

[0015]

[0016]

[0017] Among them, is the water-vegetation coupling index, is the enhanced vegetation index, is the comprehensive reflectance ratio, is the reflectance of the near-infrared of the ecosystem, is the reflectance of the red light band of the ecosystem, is the reflectance of the blue light band of the ecosystem, is the reflectance of the short-wave infrared of the ecosystem, and is a coefficient, and is greater than 0, is a correction parameter.

[0018] The present invention provides an adaptive detection system for the interference recovery of the carbon sequestration capacity of an ecosystem, which applies the above-mentioned adaptive detection method for the interference recovery of the carbon sequestration capacity of an ecosystem, and includes: an index determination module, which is used to determine multiple ecosystem type factors, interference identification factors, carbon sequestration capacity indexes and interference recovery indexes; a sample analysis module, which is used to obtain the type-related information of multiple sample ecosystems and the detection data of the interference recovery of the carbon sequestration capacity based on multiple ecosystem type factors, interference identification factors, carbon sequestration capacity indexes and interference recovery indexes; determine multiple ecosystem types according to the type-related information of multiple sample ecosystems; determine the key interference identification factors, key carbon sequestration capacity indexes and key interference recovery indexes of each ecosystem type according to the detection data of the interference recovery of the carbon sequestration capacity of multiple sample ecosystems; a recovery detection module, which is used to determine the ecosystem type to which the ecosystem to be detected belongs according to the type-related information of the ecosystem to be detected; obtain the interference identification data and carbon sequestration capacity data of the ecosystem to be detected based on the key interference identification factors and key carbon sequestration capacity indexes of the ecosystem type to which the ecosystem to be detected belongs; determine the interference time period of the ecosystem to be detected according to the interference identification data and carbon sequestration capacity data of the ecosystem to be detected; obtain the interference recovery data of the ecosystem to be detected based on the interference time period of the ecosystem to be detected and the key interference recovery indexes of the ecosystem type to which the ecosystem to be detected belongs, and conduct an evaluation of the interference recovery of the carbon sequestration capacity.

[0019] Compared with the prior art, the adaptive detection method and system for the interference recovery of the carbon sequestration capacity of an ecosystem provided by the present invention have at least the following beneficial effects:

[0020] 1. The prior art adopts a unified index system, ignoring the differences in carbon sequestration mechanisms of different ecosystems (such as different carbon sequestration paths in forests, wetlands, and farmlands). The present invention divides types through ecosystem type factors, and screens key interference identification factors and key carbon sequestration capacity indicators for each type, realizing precise detection of "one type, one solution". It reduces the interference of redundant data and improves the accuracy of interference identification and recovery assessment. For example, in arid forests, "soil moisture" rather than "total precipitation" is used as the key factor, which is more in line with the actual law of carbon sequestration capacity change.

[0021] 2. By calculating the dynamic difference coefficients of carbon sequestration capacity indicators and interference recovery indicators, key indicators sensitive to ecosystem changes are screened, redundant data are excluded, and it is ensured that the detection indicators are strongly correlated with the recovery of carbon sequestration capacity. Key indicators are screened separately for different ecosystem types (such as forests, wetlands, and farmlands) to avoid "one-size-fits-all", and the pertinence of detection results is improved. Weights are assigned based on dynamic difference coefficients or influence coefficients to avoid subjective experience bias, so that high-weight indicators (such as biomass and soil carbon density) play a greater role in comprehensive evaluation and improve the accuracy of evaluation. By calculating the influence coefficient of interference identification factors on key carbon sequestration capacity indicators, the direct relationship between interference factors and changes in carbon sequestration capacity is clarified, avoiding misjudgment (such as misjudging natural fluctuations as interference). The key interference factors are determined according to the magnitude of the influence coefficient, improving the accuracy of interference determination.

[0022] 3. The carbon sequestration capacity baseline represents the carbon sequestration capacity level of an ecosystem in an undisturbed or stable state. By comparing the historical carbon sequestration capacity data of the ecosystem to be detected with the baseline, the degree and duration of deviation of carbon sequestration capacity caused by interference can be quantified. In the prior art, the determination of the interference time period may be misjudged due to too high or too low artificially set thresholds. In the present invention, the determination of the interference time period is completely based on the comparison of historical data with the baseline, rather than artificial experience or threshold setting, avoiding human bias and improving the accuracy of the assessment of the progress of carbon sequestration capacity interference recovery. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] This specification will be further described by way of exemplary embodiments, and these exemplary embodiments will be described in detail through the drawings. These embodiments are not restrictive. In these embodiments, the same numbers represent the same structures, where:

[0024] Figure 1 is a schematic flow chart of a method for adaptively detecting the interference recovery of an ecosystem's carbon sequestration capacity shown in some embodiments of this specification;

[0025] Figure 2 is a schematic module diagram of a system for adaptively detecting the interference recovery of an ecosystem's carbon sequestration capacity shown in some embodiments of this specification. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0026] To more clearly illustrate the technical solutions of the embodiments of this specification, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the drawings in the following description are only some examples or embodiments of this specification. For those of ordinary skill in the art, without creative efforts, this specification can also be applied to other similar scenarios based on these drawings. Unless obvious from the language context or otherwise stated, the same reference numerals in the drawings represent the same structure or operation.

[0027] Figure 1 is a schematic flowchart of an adaptive detection method for the interference recovery of the carbon sequestration capacity of an ecosystem shown according to some embodiments of this specification. As Figure 1 shown, an adaptive detection method for the interference recovery of the carbon sequestration capacity of an ecosystem may include the following steps.

[0028] Step 110, determine multiple ecosystem type factors, interference identification factors, carbon sequestration capacity indicators, and interference recovery indicators.

[0029] The ecosystem type factors reflect the characteristic parameters of the basic type, structure, and function of the ecosystem, and are used to distinguish the core attributes of different ecosystems. By way of example only, multiple ecosystem type factors may at least include vegetation type, biological community structure, climate zone, terrain features, etc.

[0030] The factor values of the ecosystem in multiple ecosystem type factors can be determined by using a coding method.

[0031] For example, the factor values of the ecosystem in multiple ecosystem type factors are determined by using a three - level coding method of "main class - subclass - factor value".

[0032] By way of example only, the main class value of the vegetation type is 2, and the factor values of different ecosystems in the vegetation type can be as shown in Table 1.

[0033] Table 1

[0034] Subclass Code Main Class Factor Value 210 Single-layer Structure 211 - Herb-dominated (coverage ≥ 80%); 212 - Shrub-dominated (coverage ≥ 60%) 220 Double-layer Structure 221 - Shrub + Herb; 222 - Tree + Herb 230 Multi-layer Structure 231 - Tree + Shrub + Herb (tropical rainforest); 232 - Tree + Ground Cover (temperate forest)

[0035] The interference identification factors are used to identify and quantify the external pressures or internal changes suffered by the ecosystem. By way of example only, multiple interference identification factors may at least include precipitation, temperature, etc.

[0036] The carbon sequestration capacity indicators are the core parameters for evaluating the carbon sink function of the ecosystem. Examples of multiple carbon sequestration capacity indicators can be as shown in Table 2.

[0037] Table 2

[0038] Index Category Specific Index Vegetation Carbon Sequestration Aboveground Biomass Carbon Storage, Net Primary Productivity Soil Carbon Sequestration Soil Organic Carbon Content, Carbon Turnover Time Total Carbon Sequestration Carbon Storage per Unit Area (tons / ha) Carbon Sequestration Efficiency Carbon Sequestration per Unit Photosynthetically Active Radiation

[0039] In some embodiments, the carbon sequestration capacity index at least includes a moisture-vegetation coupling index, and the calculation formula is:

[0040]

[0041]

[0042]

[0043] Wherein, is the moisture-vegetation coupling index, is the enhanced vegetation index, is the comprehensive reflectance ratio, is the reflectance of the near-infrared of the ecosystem, is the reflectance of the red light band of the ecosystem, is the reflectance of the blue light band of the ecosystem, is the reflectance of the short-wave infrared of the ecosystem, and is a coefficient used to correct the interference of aerosol scattering existing in the atmosphere, and is greater than 0. For example, = 6 and = 7.5, is a correction parameter used to correct the interference of the soil and canopy background. For example, L is 1.

[0044] Specifically, the enhanced vegetation index (EVI) is a vegetation spectral index proposed on the basis of improving NDVI. EVI captures the photosynthetic activity of an area, that is, its "greenness", and can be used to estimate the ecosystem function of an area through its relationship with above-ground biomass production. In order to reduce the interference of water, clouds, heavy aerosols, etc., EVI introduces the blue light band in addition to using the near-infrared and red light bands, and corrects the aerosol scattering and soil and canopy background existing in the atmosphere through coefficients and correction parameters.

[0045] Shortwave infrared / near-infrared (SWIR / NIR) is sensitive to soil moisture, vegetation water status, fire disturbances, etc., while the near-infrared band mainly reflects the photosynthesis and chlorophyll content of vegetation. Introducing the ratio of SWIR and NIR into the analysis can help better understand the dynamic changes of the ecosystem under different dry and wet conditions. It can complement the deficiencies of EVI and capture the changes of factors such as water and carbon cycles in the ecosystem more comprehensively. Temporal remote sensing image data of Landsat series (Landsat 5, 7, 8), Sentinel-2 and MODIS can be obtained through Google Earth Engine (GEE). Among them, Landsat and Sentinel-2 provide high-resolution SWIR and NIR band data, and MODIS provides long-term large-scale EVI data. Use the cloud masking function (such as Fmask) built into GEE to remove clouds and shadows, use the automatic atmospheric correction algorithm to standardize the images, and finally smooth the time series through the Savitzky-Golay filter to ensure data quality and reduce noise, and determine the reflectance of the near-infrared, red and blue bands of the ecosystem.

[0046] By integrating the information of vegetation greenness (EVI) and water-sensitive bands (SWIR / NIR), CVI can reflect both the photosynthetic capacity (productivity) and water status (drought / wetness) of vegetation. This coupling relationship is crucial for evaluating the carbon sequestration capacity of the ecosystem, because water conditions directly affect the photosynthetic efficiency of vegetation and the stability of the soil carbon pool. CVI can be used to monitor the functional changes of the ecosystem under different environmental conditions. For example, under drought stress, the EVI of vegetation may decrease due to water limitation, while the SWIR / NIR ratio may increase due to vegetation water deficit or soil drying, resulting in a decrease in the CVI value. This change can sensitively reflect the weakening of the carbon sequestration capacity of the ecosystem. CVI has the ability to respond to disturbances such as fire, drought, and land degradation. For example, after a fire, the vegetation cover decreases and the EVI decreases, while the SWIR / NIR ratio may increase significantly due to soil exposure or vegetation death, resulting in a sharp drop in the CVI value. This change can be used to quickly identify disturbance events and their impacts on the carbon sequestration capacity.

[0047] The disturbance recovery index is used to evaluate the ability of the ecosystem to recover its carbon sequestration function after being disturbed.

[0048] Each carbon sequestration capacity index can correspond to at least one disturbance recovery index, and the disturbance recovery index corresponding to the carbon sequestration capacity index is used to reflect the changes of the carbon sequestration capacity index during the process of recovering the carbon sequestration function after disturbance.

[0049] For example, for the water-vegetation coupling index, its corresponding interference recovery index may include the water-vegetation coupling index growth rate, the water-vegetation coupling index recovery index, and the like.

[0050] For example, the water-vegetation coupling index growth rate and water-vegetation coupling index recovery index can be calculated according to the following formula:

[0051]

[0052]

[0053] in, is the growth rate of the water-vegetation coupling index, is the current index value of the water-vegetation coupling index, is the index value of the initial water-vegetation coupling index after the disturbance, For recovery time, It is the recovery index of water-vegetation coupling index.

[0054] Step 120, based on multiple ecosystem type factors, disturbance identification factors, carbon fixation capacity indicators and disturbance recovery indicators, obtain type-related information and carbon fixation capacity disturbance recovery detection data for multiple sample ecosystems.

[0055] Specifically, the type-related information of the sample ecosystem includes at least the factor value of each ecosystem type factor corresponding to the sample ecosystem.

[0056] After determining multiple ecosystem type factors, disturbance identification factors, carbon fixation capacity indicators and disturbance recovery indicators, different disturbances can be imposed on the sample ecosystem, and carbon fixation capacity disturbance recovery detection data corresponding to the time period before and after the disturbance can be obtained.

[0057] Standard processing is performed on the type-related information of multiple sample ecosystems and the carbon fixation capacity disturbance recovery detection data, including data accuracy, format, metadata, projection, framing, integrity, spatial position processing and multi-scale conversion, to achieve effective compilation of multi-source heterogeneous data, and to perform quality checks on the data to ensure the consistency and availability of the same data. After compilation, the data is stored in the database. Through the establishment of the database, users can easily query and retrieve in a variety of ways and browse the stored data conveniently.

[0058] The carbon fixation capacity disturbance recovery detection data of the sample ecosystem includes disturbance identification data, carbon fixation capacity data and disturbance recovery data, wherein the disturbance identification data includes the factor value of each disturbance identification factor at multiple sample time points, the carbon fixation capacity data includes the indicator value of each carbon fixation capacity indicator at multiple sample time points, and the disturbance recovery data includes the indicator value of each disturbance recovery indicator at multiple sample disturbance recovery time points.

[0059] Step 130: Determine multiple ecosystem types according to the type-related information of multiple sample ecosystems.

[0060] Specifically, it includes:

[0061] Calculate the ecosystem type similarity between any two sample ecosystems based on the factor values of each ecosystem type factor corresponding to the two sample ecosystems. Specifically, for each ecosystem type factor, if the factor values of the two sample ecosystems corresponding to this ecosystem type factor are the same, the similarity of the two ecosystems corresponding to this ecosystem type factor is 1; if different, the similarity of the two ecosystems corresponding to this ecosystem type factor is 0. Sum the similarities of the two ecosystems corresponding to each ecosystem type factor to obtain the ecosystem type similarity between the two sample ecosystems.

[0062] Divide multiple sample ecosystems into multiple sample ecosystem groups according to the ecosystem type similarity between any two sample ecosystems. Among them, one sample ecosystem group corresponds to one ecosystem type, that is, the sample ecosystems included in the sample ecosystem group belong to the same ecosystem type. For example, through a clustering algorithm (such as the K-Means clustering algorithm, hierarchical clustering algorithm, etc.), multiple sample ecosystems can be divided into multiple sample ecosystem groups according to the ecosystem type similarity between any two sample ecosystems.

[0063] Step 140: Determine the key interference identification factors, key carbon sequestration ability indicators, and key interference recovery indicators for each ecosystem type according to the carbon sequestration ability interference recovery detection data of multiple sample ecosystems.

[0064] Specifically, it includes:

[0065] For each ecosystem type, based on the indicator values of each carbon sequestration ability indicator corresponding to each sample ecosystem included in the ecosystem type at multiple sample time points, calculate the dynamic difference coefficient of each carbon sequestration ability indicator corresponding to the ecosystem type. Based on the dynamic difference coefficient of each carbon sequestration ability indicator corresponding to the ecosystem type, determine the key carbon sequestration ability indicators of the ecosystem type and the weight of each key carbon sequestration ability indicator. Specifically, for each sample ecosystem included in the ecosystem type, the standard deviation of the indicator values of a certain carbon sequestration ability indicator corresponding to the sample ecosystem at multiple sample time points can be calculated, and the mean value of the standard deviations of the indicator values of this carbon sequestration ability indicator corresponding to each sample ecosystem included in the ecosystem type at multiple sample time points is used as the dynamic difference coefficient of this carbon sequestration ability indicator corresponding to the ecosystem type. The key carbon sequestration ability indicators of the ecosystem type with the dynamic difference coefficient greater than the dynamic difference coefficient threshold;

[0066] For each ecosystem type, based on the key carbon sequestration capacity indicators of the ecosystem type, candidate disturbance recovery indicators for the ecosystem type are determined from multiple disturbance recovery indicators. Based on the indicator values of each candidate disturbance recovery indicator corresponding to each sample ecosystem included in the ecosystem type at multiple sample disturbance recovery time points, the dynamic difference coefficient of each candidate disturbance recovery indicator corresponding to the ecosystem type is calculated. According to the dynamic difference coefficient of each candidate disturbance recovery indicator corresponding to the ecosystem type, the key disturbance recovery indicators of the ecosystem type and the weight of each key disturbance recovery indicator are determined. Specifically, the disturbance recovery indicators corresponding to the key carbon sequestration capacity indicators of the ecosystem type can be used as candidate disturbance recovery indicators. The method for calculating the dynamic difference coefficient of the candidate disturbance recovery indicator corresponding to the ecosystem type is similar to the method for calculating the dynamic difference coefficient of the carbon sequestration capacity indicator corresponding to the ecosystem type. The method for determining the weight of the key disturbance recovery indicator is similar to the method for determining the weight of the key carbon sequestration capacity indicator, which will not be elaborated here;

[0067] For each ecosystem type, based on the indicator values of each key carbon sequestration capacity indicator corresponding to each sample ecosystem included in the ecosystem type at multiple sample time points and the factor values of each disturbance identification factor at multiple sample time points, the influence coefficient of each disturbance identification factor on each key carbon sequestration capacity indicator is calculated. Based on the influence coefficient of each disturbance identification factor on each key carbon sequestration capacity indicator, the key disturbance identification factors of the ecosystem type are determined. Specifically, for each sample ecosystem included in the ecosystem type, according to the correlation coefficient calculation algorithm (such as Pearson correlation coefficient, Spearman rank correlation coefficient, and Kendall rank correlation coefficient, etc.), based on the indicator values of a certain key carbon sequestration capacity indicator corresponding to the sample ecosystem at multiple sample time points and the factor values of a certain disturbance identification factor at multiple sample time points, the correlation coefficient between the disturbance identification factor and the key carbon sequestration capacity indicator corresponding to the sample ecosystem is calculated. The average value of the correlation coefficients between the disturbance identification factor and the key carbon sequestration capacity indicator corresponding to each sample ecosystem included in the ecosystem type is used as the influence coefficient of the disturbance identification factor on the key carbon sequestration capacity indicator.

[0068] In some embodiments, based on the dynamic difference coefficient of each carbon sequestration capacity indicator corresponding to the ecosystem type, determining the weight of each key carbon sequestration capacity indicator of the ecosystem type includes:

[0069] By using the analytic hierarchy process, calculate the first weight of each key carbon sequestration capacity indicator of the ecosystem type;

[0070] Based on the dynamic difference coefficient of each carbon sequestration capacity indicator corresponding to the ecosystem type, determine the second weight of each key carbon sequestration capacity indicator of the ecosystem type;

[0071] Based on the first weight and the second weight of each key carbon sequestration capacity indicator of the ecosystem type, calculate the comprehensive weight of each key interference identification factor of the ecosystem type. For example, perform a weighted sum of the first weight and the second weight of the key carbon sequestration capacity indicator as the comprehensive weight of the key interference identification factor;

[0072] Based on the comprehensive weight of each key carbon sequestration capacity indicator of the ecosystem type, determine the weight of each key carbon sequestration capacity indicator of the ecosystem type.

[0073] The weight of the key carbon sequestration capacity indicator can be calculated according to the following formula:

[0074]

[0075] where, is the weight of the i-th key carbon sequestration capacity indicator of the ecosystem type, is the comprehensive weight of the i-th key carbon sequestration capacity indicator of the ecosystem type, is the comprehensive weight of the n-th key carbon sequestration capacity indicator of the ecosystem type, is the total number of key carbon sequestration capacity indicators of the ecosystem type.

[0076] In some embodiments, based on the influence coefficient of each interference identification factor on each key carbon sequestration capacity indicator, determine the key interference identification factor of the ecosystem type, including:

[0077] Based on the influence coefficient of each interference identification factor on each key carbon sequestration capacity indicator and the dynamic difference coefficient of the ecosystem type corresponding to each key carbon sequestration capacity indicator, calculate the comprehensive key coefficient of the interference identification factor. Specifically, the dynamic difference coefficient of the ecosystem type corresponding to the key carbon sequestration capacity indicator can be used as the weight to perform a weighted sum of the influence coefficient of a certain interference identification factor on each key carbon sequestration capacity indicator as the comprehensive key coefficient of the interference identification factor;

[0078] Based on the comprehensive key coefficient of each interference identification factor, determine the key interference identification factor of the ecosystem type. For example, the interference identification factor with a comprehensive key coefficient greater than the comprehensive key coefficient threshold can be used as the key interference identification factor of the ecosystem type.

[0079] Step 150, according to the type-related information of the ecosystem to be detected, determine the ecosystem type to which the ecosystem to be detected belongs.

[0080] Specifically, it includes:

[0081] For each ecosystem type, based on the factor values of each sample ecosystem included in the ecosystem type corresponding to each ecosystem type factor, determine the type-related information corresponding to the ecosystem type. Specifically, the mean value of the factor values of each sample ecosystem included in the ecosystem type corresponding to each ecosystem type factor can be calculated, and the mean value of the factor values corresponding to each ecosystem type factor is obtained as the type-related information corresponding to the ecosystem type;

[0082] Based on the type-related information of the ecosystem to be detected and the type-related information corresponding to each ecosystem type, calculate the attribution coefficient of the ecosystem to be detected for each ecosystem type;

[0083] Based on the attribution coefficient of the ecosystem to be detected for each ecosystem type, determine the ecosystem type to which the ecosystem to be detected belongs. For example, the ecosystem type with the largest attribution coefficient can be used as the ecosystem type to which the ecosystem to be detected belongs.

[0084] For example, the attribution coefficient of the ecosystem to be detected for each ecosystem type can be calculated according to the following formula:

[0085]

[0086] Among them, is the attribution coefficient of the ecosystem to be detected for the j-th ecosystem type, is the factor value of the ecosystem to be detected corresponding to the j-th ecosystem type factor, is the mean value of the factor values of the j-th ecosystem type corresponding to the j-th ecosystem type factor, is the total number of ecosystem type factors, is a positive integer.

[0087] Step 160, based on the key interference identification factors and key carbon sequestration capacity indicators of the ecosystem type to which the ecosystem to be detected belongs, obtain the interference identification data and carbon sequestration capacity data of the ecosystem to be detected.

[0088] Specifically, the interference identification data of the ecosystem to be detected includes the indicator values of each key interference identification factor of the ecosystem type to which the ecosystem to be detected belongs at multiple historical time points, and the carbon sequestration capacity data of the ecosystem to be detected includes the indicator values of each key interference identification factor of the ecosystem type to which the ecosystem to be detected belongs at multiple historical time points.

[0089] Step 170, determine the interference time period of the ecosystem to be detected according to the interference identification data and carbon sequestration capacity data of the ecosystem to be detected.

[0090] Specifically includes:

[0091] Determine the baseline of carbon sequestration capacity for each ecosystem type;

[0092] Based on the interference identification data, carbon sequestration capacity data of the ecosystem to be detected, and the baseline of carbon sequestration capacity of the ecosystem type to which the ecosystem to be detected belongs, determine the interference time period of the ecosystem to be detected.

[0093] Specifically, for each ecosystem type, use methods such as linear regression or moving average. According to the index values of each key carbon sequestration capacity index corresponding to each sample ecosystem included in the ecosystem type at sample time points before multiple interferences, analyze the changing trend of the key carbon sequestration capacity index over time, and determine the baseline of carbon sequestration capacity of the ecosystem type based on the trend. Among them, the baseline of carbon sequestration capacity may include the baseline value corresponding to each key carbon sequestration capacity index.

[0094] The target time period can be determined based on the interference identification data of the ecosystem to be detected through an interference prediction model. Among them, the interference prediction model can be a long short-term memory network model, and the target time period is the time period when interference may occur. According to the index values of each key carbon sequestration capacity index of the ecosystem type to which the ecosystem to be detected belongs at multiple historical time points in the target time period, calculate the standard deviation of the index values of each key carbon sequestration capacity index, and calculate the index difference between the mean value of the index values of each key carbon sequestration capacity index and the baseline value of the key carbon sequestration capacity index of the ecosystem type to which the ecosystem to be detected belongs. According to the standard deviation of the index values of each key carbon sequestration capacity index and the index difference of each key carbon sequestration capacity index, determine whether the target time period is an interference time period. For example, if the predicted value of a certain key carbon sequestration capacity index deviates from the historical mean by more than 1.5 times the standard deviation, and / or if the difference between the predicted value of a certain key carbon sequestration capacity index and the baseline value exceeds 10%, then determine that the target time period is an interference time period.

[0095] Step 180, based on the interference time period of the ecosystem to be detected and the key interference recovery indicators of the ecosystem type to which the ecosystem to be detected belongs, obtain the interference recovery data of the ecosystem to be detected, and conduct an assessment of the progress of carbon sequestration capacity interference recovery.

[0096] Specifically, the interference recovery data of the ecosystem to be detected may include the index values of each key interference recovery indicator of the ecosystem type to which the ecosystem to be detected belongs. It can be based on the comprehensive recovery index of the ecosystem to be detected through the corresponding comprehensive assessment model of the ecosystem type to which the ecosystem to be detected belongs. Among them, the comprehensive assessment model can be a multiple linear regression model.

[0097] The assessment result of the progress of carbon sequestration capacity interference recovery can be:

[0098] Recovery successful: The comprehensive recovery index reaches or exceeds the target value (e.g., 0.8), and the key interference recovery indicators are stable.

[0099] Recovery lag: The comprehensive recovery index is lower than the target value, and the key interference recovery indicators have not improved significantly.

[0100] Recovery failure: The comprehensive recovery index continues to decline or shows no obvious improvement, and there may be secondary interference or ineffective management measures.

[0101] An adaptive detection method for the interference recovery of the carbon sequestration capacity of an ecosystem can be applied to scenarios such as forest ecosystem management, grassland ecosystem protection, wetland ecosystem restoration, and urban ecosystem optimization.

[0102] Taking forest ecosystem management as an example, in tropical rainforest or temperate forest areas, due to illegal logging, fires, or pests and diseases, the forest area decreases or the vegetation degrades. It is necessary to monitor the change of carbon sequestration capacity in real time and evaluate the recovery progress. Quickly locate the interference event through the interference identification factor (such as the time of logging). Quantify the loss of carbon sequestration capacity based on the key carbon sequestration capacity indicators to guide the priority of forest restoration. Use the interference recovery indicators to evaluate the effect of ecological restoration projects (such as afforestation).

[0103] Figure 2 It is a schematic diagram of the modules of an adaptive detection system for the interference recovery of the carbon sequestration capacity of an ecosystem shown according to some embodiments of this specification. As Figure 2 shown, an adaptive detection system for the interference recovery of the carbon sequestration capacity of an ecosystem may include an index determination module, a sample analysis module, and a recovery detection module.

[0104] The index determination module is used to determine multiple ecosystem type factors, interference identification factors, carbon sequestration capacity indicators, and interference recovery indicators;

[0105] The sample analysis module is used to obtain the type-related information and carbon sequestration capacity interference recovery detection data of multiple sample ecosystems based on multiple ecosystem type factors, interference identification factors, carbon sequestration capacity indicators, and interference recovery indicators; determine multiple ecosystem types according to the type-related information of multiple sample ecosystems; determine the key interference identification factors, key carbon sequestration capacity indicators, and key interference recovery indicators of each ecosystem type according to the carbon sequestration capacity interference recovery detection data of multiple sample ecosystems;

[0106] A recovery detection module is configured to determine the type of the ecosystem to be detected according to the type-related information of the ecosystem to be detected; obtain the interference identification data and carbon sequestration capacity data of the ecosystem to be detected based on the key interference identification factors and key carbon sequestration capacity indicators of the type of the ecosystem to be detected; determine the interference time period of the ecosystem to be detected according to the interference identification data and carbon sequestration capacity data of the ecosystem to be detected; and obtain the interference recovery data of the ecosystem to be detected based on the interference time period of the ecosystem to be detected and the key interference recovery indicators of the type of the ecosystem to be detected, and perform an assessment of the interference recovery of the carbon sequestration capacity.

[0107] An adaptive detection system for the interference recovery of the carbon sequestration capacity of an ecosystem can be used to execute an adaptive detection method for the interference recovery of the carbon sequestration capacity of an ecosystem, which will not be elaborated herein.

[0108] Finally, it should be understood that the embodiments described in this specification are only used to illustrate the principles of the embodiments of this specification. Other variations may also fall within the scope of this specification. Therefore, by way of example and not limitation, alternative configurations of the embodiments of this specification may be regarded as consistent with the teachings of this specification. Accordingly, the embodiments of this specification are not limited to the embodiments explicitly introduced and described in this specification.

Claims

1. An adaptive detection method for the interference recovery of the carbon sequestration capacity of an ecosystem, characterized in that, Comprising: Determine multiple ecosystem type factors, disturbance identification factors, carbon sequestration capacity indicators, and disturbance recovery indicators; Based on the multiple ecosystem type factors, disturbance identification factors, carbon sequestration capacity indicators, and disturbance recovery indicators, obtain the type-related information of multiple sample ecosystems and the carbon sequestration capacity disturbance recovery detection data; Determine multiple ecosystem types according to the type-related information of multiple sample ecosystems; Determine the key disturbance identification factors, key carbon sequestration capacity indicators, and key disturbance recovery indicators for each ecosystem type according to the carbon sequestration capacity disturbance recovery detection data of multiple sample ecosystems; Determine the ecosystem type to which the ecosystem to be detected belongs according to the type-related information of the ecosystem to be detected; Based on the key disturbance identification factors and key carbon sequestration capacity indicators of the ecosystem type to which the ecosystem to be detected belongs, obtain the disturbance identification data and carbon sequestration capacity data of the ecosystem to be detected; Determine the disturbance time period of the ecosystem to be detected according to the disturbance identification data and carbon sequestration capacity data of the ecosystem to be detected; Based on the disturbance time period of the ecosystem to be detected and the key disturbance recovery indicators of the ecosystem type to which the ecosystem to be detected belongs, obtain the disturbance recovery data of the ecosystem to be detected and evaluate the progress of the carbon sequestration capacity disturbance recovery.

2. The adaptive detection method for the interference recovery of the carbon sequestration capacity of an ecosystem according to claim 1, wherein The type-related information of the sample ecosystem includes at least the factor values of the sample ecosystem corresponding to each ecosystem type factor; Determine multiple ecosystem types according to the type-related information of multiple sample ecosystems, including: Calculate the ecosystem type similarity between any two sample ecosystems according to the factor values of any two sample ecosystems corresponding to each ecosystem type factor; Divide the multiple sample ecosystems into multiple sample ecosystem groups according to the ecosystem type similarity between any two sample ecosystems, where one sample ecosystem group corresponds to one ecosystem type.

3. The adaptive detection method for the interference recovery of the carbon sequestration capacity of an ecosystem according to claim 1, characterized in that, The carbon sequestration capacity disturbance recovery detection data of the sample ecosystem includes disturbance identification data, carbon sequestration capacity data, and disturbance recovery data. Among them, the disturbance identification data includes the factor values of each disturbance identification factor at multiple sample time points, the carbon sequestration capacity data includes the indicator values of each carbon sequestration capacity indicator at multiple sample time points, and the disturbance recovery data includes the indicator values of each disturbance recovery indicator at multiple sample disturbance recovery time points; Determine the key disturbance identification factors for each ecosystem type according to the carbon sequestration capacity disturbance recovery detection data of multiple sample ecosystems, including: For each ecosystem type, calculate the dynamic difference coefficient of each carbon sequestration capacity indicator corresponding to the ecosystem type based on the indicator values of each carbon sequestration capacity indicator corresponding to each sample ecosystem included in the ecosystem type at multiple sample time points. Based on the dynamic difference coefficient of each carbon sequestration capacity indicator corresponding to the ecosystem type, determine the key carbon sequestration capacity indicators of the ecosystem type and the weights of each key carbon sequestration capacity indicator.

4. An adaptive detection method for interference recovery of the carbon sequestration capacity of an ecosystem according to claim 3, characterized in that, Determine the key disturbance identification factors and key disturbance recovery indicators for each ecosystem type according to the carbon sequestration capacity disturbance recovery detection data of multiple sample ecosystems, including: For each ecosystem type, based on the key carbon sequestration capacity indicators of the ecosystem type, candidate disturbance recovery indicators of the ecosystem type are determined from multiple disturbance recovery indicators. Based on the indicator values of each candidate disturbance recovery indicator corresponding to each sample ecosystem included in the ecosystem type at multiple sample disturbance recovery time points, the dynamic difference coefficient of each candidate disturbance recovery indicator corresponding to the ecosystem type is calculated. Based on the dynamic difference coefficient of each candidate disturbance recovery indicator corresponding to the ecosystem type, the key disturbance recovery indicators of the ecosystem type and the weight of each key disturbance recovery indicator are determined; For each ecosystem type, based on the indicator values of each key carbon sequestration capacity indicator corresponding to each sample ecosystem included in the ecosystem type at multiple sample time points and the factor values of each disturbance identification factor at multiple sample time points, the influence coefficient of each disturbance identification factor on each key carbon sequestration capacity indicator is calculated. Based on the influence coefficient of each disturbance identification factor on each key carbon sequestration capacity indicator, the key disturbance identification factors of the ecosystem type are determined.

5. The adaptive detection method for the interference recovery of the carbon sequestration capacity of an ecosystem according to claim 3, wherein, Based on the dynamic difference coefficient of each carbon sequestration capacity indicator corresponding to the ecosystem type, the weight of each key carbon sequestration capacity indicator of the ecosystem type is determined, including: By using the analytic hierarchy process, the first weight of each key carbon sequestration capacity indicator of the ecosystem type is calculated; Based on the dynamic difference coefficient of each carbon sequestration capacity indicator corresponding to the ecosystem type, the second weight of each key carbon sequestration capacity indicator of the ecosystem type is determined; Based on the first weight and the second weight of each key carbon sequestration capacity indicator of the ecosystem type, the comprehensive weight of each key disturbance identification factor of the ecosystem type is calculated; Based on the comprehensive weight of each key carbon sequestration capacity indicator of the ecosystem type, the weight of each key carbon sequestration capacity indicator of the ecosystem type is determined.

6. The adaptive detection method for the interference recovery of the carbon sequestration capacity of an ecosystem according to claim 4, wherein Based on the influence coefficient of each disturbance identification factor on each key carbon sequestration capacity indicator, the key disturbance identification factors of the ecosystem type are determined, including: Based on the influence coefficient of each disturbance identification factor on each key carbon sequestration capacity indicator and the dynamic difference coefficient of each key carbon sequestration capacity indicator corresponding to the ecosystem type, the comprehensive key coefficient of the disturbance identification factor is calculated; Based on the comprehensive key coefficient of each disturbance identification factor, the key disturbance identification factors of the ecosystem type are determined.

7. An adaptive detection method for the interference recovery of the carbon sequestration capacity of an ecosystem according to any one of claims 2-6, characterized in that, According to the type-related information of the ecosystem to be detected, the ecosystem type to which the ecosystem to be detected belongs is determined, including: For each ecosystem type, based on the factor values of each ecosystem type factor corresponding to each sample ecosystem included in the ecosystem type, the type-related information corresponding to the ecosystem type is determined; Based on the type-related information of the ecosystem to be detected and the type-related information corresponding to each ecosystem type, the attribution coefficient of the ecosystem to be detected to each ecosystem type is calculated; Based on the attribution coefficient of the ecosystem to be detected to each ecosystem type, the ecosystem type to which the ecosystem to be detected belongs is determined.

8. An adaptive detection method for interference recovery of carbon sequestration capacity of an ecosystem according to any one of claims 1-6, characterized in that The interference identification data of the ecosystem to be detected includes the index values of each key interference identification factor of the ecosystem type to which the ecosystem to be detected belongs at multiple historical time points, and the carbon sequestration capacity data of the ecosystem to be detected includes the index values of each key interference identification factor of the ecosystem type to which the ecosystem to be detected belongs at multiple historical time points; Based on the interference identification data and carbon sequestration capacity data of the ecosystem to be detected, determine the interference time period of the ecosystem to be detected, including: Determine the carbon sequestration capacity baseline of each ecosystem type; Based on the interference identification data, carbon sequestration capacity data of the ecosystem to be detected and the carbon sequestration capacity baseline of the ecosystem type to which the ecosystem to be detected belongs, determine the interference time period of the ecosystem to be detected.

9. An adaptive detection method for the interference recovery of the carbon sequestration capacity of an ecosystem according to any one of claims 1-6, characterized in that, The carbon sequestration capacity index at least includes a moisture-vegetation coupling index, and the calculation formula is: Among them, is the water-vegetation coupling index, is the enhanced vegetation index, is the comprehensive reflectance ratio, is the reflectance of the near-infrared of the ecosystem, is the reflectance of the red light band of the ecosystem, is the reflectance of the blue light band of the ecosystem, is the reflectance of the short-wave infrared of the ecosystem, and is a coefficient, and is greater than 0, is the correction parameter.

10. An adaptive detection system for the interference recovery of the carbon sequestration capacity of an ecosystem, characterized in that, Applying an adaptive detection method for the interference recovery of the carbon sequestration capacity of an ecosystem according to any one of claims 1-9, including: An index determination module, configured to determine a plurality of ecosystem type factors, interference identification factors, carbon sequestration capacity indexes and interference recovery indexes; A sample analysis module, configured to obtain type-related information and carbon sequestration capacity interference recovery detection data of a plurality of sample ecosystems based on a plurality of ecosystem type factors, interference identification factors, carbon sequestration capacity indexes and interference recovery indexes; determine a plurality of ecosystem types according to the type-related information of the plurality of sample ecosystems; determine the key interference identification factors, key carbon sequestration capacity indexes and key interference recovery indexes of each ecosystem type according to the carbon sequestration capacity interference recovery detection data of the plurality of sample ecosystems; A recovery detection module, configured to determine the ecosystem type to which the ecosystem to be detected belongs according to the type-related information of the ecosystem to be detected; obtain the interference identification data and carbon sequestration capacity data of the ecosystem to be detected based on the key interference identification factors and key carbon sequestration capacity indexes of the ecosystem type to which the ecosystem to be detected belongs; determine the interference time period of the ecosystem to be detected according to the interference identification data and carbon sequestration capacity data of the ecosystem to be detected; obtain the interference recovery data of the ecosystem to be detected based on the interference time period of the ecosystem to be detected and the key interference recovery indexes of the ecosystem type to which the ecosystem to be detected belongs, and perform an evaluation of the interference recovery of the carbon sequestration capacity.

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