72 results about "Ecosystem carbon" patented technology

The invention discloses a forest carbon sink function monitoring method based on multi-source data. The method comprises the following steps: collecting data such as vegetation, soil, weather, landform and interference factors; the collected data are preprocessed; the preprocessed data are input into a Biome-BGC model for processing, and ecological system carbon flux parameters are obtained; determining a vegetation carbon sink amount and a soil carbon sink amount based on an ecological system carbon flux parameter, and obtaining a comprehensive carbon sink amount by combining artificial and natural interference carbon emission amounts; determining the forest carbon sink potential through a constructed forest carbon sink potential calculation formula based on the calculated comprehensive carbon sink amount; based on the calculated comprehensive carbon sink amount, time stability, space stability and anti-interference stability are determined, weighted summation is carried out on the time stability, the space stability and the anti-interference stability, and the carbon sink stability is determined; according to the method, the forest carbon sink function is monitored through multi-source data, the monitoring accuracy is improved, and the forest carbon sink potential, the carbon sink stability and the investment value are accurately quantified.

The invention provides a coastal salt marsh vegetation and sediment deposition comprehensive carbon sink assessment method and system. The system comprises a vegetation dynamic module, a water power module, a carbon dynamic module and a vegetation dynamic-water power-carbon dynamic coupling module. Output results are divided into vegetation-water and sediment-landform space-time dynamic and ecological system carbon exchange space-time dynamic, and the results are used for landform development and carbon sink dynamic evaluation of the salt marsh-light beach system. On the basis of development of a grid type process model, a vegetation dynamic model, a hydrodynamic model and a carbon dynamic model are coupled together, a biogeochemical coupling model integrating interaction among biological, hydrological and geomorphic processes is constructed, and a biogeochemical process of coastal salt marsh vegetation dynamic and sediment carbon sink is parameterized; and an effective evaluation technology can be provided for community development and carbon sink dynamics of coastal wetland vegetation.

The invention discloses a multi-model coupled regional terrestrial ecosystem carbon reserve estimation method, which is suitable for the field of carbon cycle and carbon reserve estimation. The method comprises the following steps: firstly, collecting remote sensing data, and then estimating overground, underground and soil annual carbon density mean values of a regional terrestrial ecosystem by adopting an ARIMA model; the method comprises the following steps: clustering regions with different carbon densities by adopting a CatBoost model, dividing the carbon densities of a regional ecological system into low, medium and high levels, and avoiding the influence of spatial heterogeneity among different density levels on subsequent model training; an RNN model is constructed to evaluate the carbon density conditions of different levels of unit grids, and interannual dynamic carbon density parameters of different types of ecosystems are obtained based on multi-source data; and finally, calculating the carbon reserves of the unit grids, analyzing the annual average change trend and the spatial distribution condition of the carbon reserves, and realizing accurate evaluation of the regional terrestrial ecosystem carbon sink. The method is simple in step and good in using effect, and the change condition of the carbon sink capacity in the corresponding time can be obtained according to the sampling time interval of the input data.

The invention discloses a regional GPP assimilation inversion system fusing foundation-multi-source satellite chlorophyll fluorescence, and belongs to the technical field of terrestrial ecosystem carbon cycle monitoring. The signal unmixing and simulation generation module is used for unmixing the total fluorescence of the mixed pixels into pure chlorophyll fluorescence (SIF) and driving an ecological model to generate SIF and GPP simulation values based on environmental stress data; the state component decoupling module is used for decoupling the total GPP analog value into a light response fast component, a light response slow component and a light response memory component; the state evolution prediction module is used for predicting dynamic evolution of the slow component and the memory component; and the self-adaptive assimilation inversion module is used for performing inversion on the region GPP by taking the slow component and the memory component as state variables, taking the SIF observation value as observation data and combining a prediction result of the state evolution prediction module. According to the method, systematic deviation caused by model simplification or data singleness in a traditional method is overcome.

The invention relates to an ecological system carbon sink evaluation method, which comprises the steps of generating a continuous climate distribution grid based on a global ecological system type and climate element data, extracting multi-dimensional characteristic parameters of temperature, rainfall and a carbon sink value through an improved weighted K-means clustering algorithm, quantifying climate transition zone boundary fuzziness in combination with a covariance matrix, and evaluating the ecological system carbon sink evaluation result. Dynamically adjusting the weight of the spatial variation coefficient; a simulated annealing algorithm is utilized to optimize correlation between the division scale and the carbon sink response, and a multi-scale regression model is constructed to generate a high-precision carbon sink distribution diagram; further fusing the remote sensing vegetation index and the ground actual measurement data, and eliminating the evaluation error caused by the conflict between the boundary fuzziness and heterogeneity of the transition zone; according to the method, the problems of insufficient climate-ecology interaction dynamic response modeling and low boundary division precision in the prior art can be solved, the reliability of carbon sink evaluation in complex areas such as forest-grassland interlaced areas and coastal wetlands is remarkably improved, and scientific data support is provided for ecological restoration project site selection and carbon trading markets.

A method for calculating carbon storage in a mixed forest ecosystem is provided. The method includes: acquiring basic geographic data, meteorological data, eco-physiological parameter, thinning management history data, and validation data; proposing an improved biome-biogeochemical cycles (Biome-BGC) model suitable for simulating carbon storage of a mixed forest ecosystem under management by improving a phenology module, adding a thinning operation management module, and optimizing the eco-physiological parameter, based on an existing Biome-BGC model; simulating, by taking a pine-oak mixed forest as a research object, the carbon storage based on the improved Biome-BGC model; validating the improved model; analyzing sensitivity of the eco-physiological parameter by an extended Fourier amplitude sensitivity test (EFAST) method; and selecting a highly sensitive parameter, and analyzing an effect of the highly sensitive parameter on the carbon storage by a path analysis method. The improved model exhibits good performance in calculating the carbon storage of the mixed forest.

The invention relates to the technical field of mine ecological restoration and carbon reserve estimation, in particular to a coal mining subsidence area ecological system carbon reserve estimation method and system.The method comprises the steps that S1, a coal mining subsidence area is divided according to land utilization types, and the range and area of each land utilization type are determined; s2, dividing the coal mining subsidence area according to a space state, and forming a land utilization grid table with a unique code with each land utilization type; s3, obtaining an initial carbon density parameter corresponding to the land utilization type, calculating the surface subsidence, and carrying out differential correction on the carbon density parameter of each subarea of the coal mining subsidence area; and S4, calculating the total carbon reserves of different collapse stages, analyzing the carbon reserves, the carbon sequestration amount and the spatial distribution of each land utilization type, and comprehensively analyzing the time change characteristics of the carbon reserves. According to the method, the carbon density change is analyzed in combination with land utilization and the collapse state, and the time-space evolution characteristics of the carbon reserves in the coal mining subsidence area are evaluated.

The invention relates to a multi-scale ecological system carbon metering method, a metering model establishing method and system, equipment and a medium, and belongs to the technical field of ecological environment monitoring. The establishment method comprises the following steps: collecting continuous data of the carbon flux of the net ecosystem with different scales, and corresponding environmental factors and spatial heterogeneity parameters; performing data preprocessing on the continuous data of the carbon flux of the net ecosystem with different scales; performing feature construction on the continuous data of the carbon flux of the net ecosystem with different scales after data processing, the corresponding environmental factors and the spatial heterogeneity parameters; performing training data set construction on the data after feature construction; and based on the constructed training data set and the integrated learning model, completing the establishment of the multi-scale ecological system carbon measurement model. According to the invention, fusion of continuous data of the carbon flux of the net ecosystem with different scales is realized, and refined monitoring of the carbon of the ecosystem at different spatial positions is realized.

The invention discloses a forest land ecosystem carbon reserve accounting method and system, and the method comprises the steps: obtaining and screening feature variables, such as optical remote sensing data, vegetation indexes, texture factors, satellite-borne laser radar feature parameters, so as to determine features having the most influence on a target variable, and removing redundant and irrelevant variables; the method comprises the following steps of: screening characteristic variables, reserving variables which contribute to the model prediction effect, improving the precision and stability of the model, constructing a canopy height inversion model by adopting a random forest method based on the screened characteristic variables, realizing accurate estimation of the canopy height, and finally calculating the biomass of vegetation of the forest ecological system by using a different-speed growth equation. And finally, summarizing the biomass of the vegetation of the forest ecological system to obtain the total biomass of the vegetation, and multiplying the total biomass of the vegetation by the carbon-containing coefficient to obtain the vegetation carbon reserve of the forest ecological system, so that wide-area and efficient forest parameter monitoring is realized, the monitoring cost is reduced, the environmental adaptability is improved, and the problems of data continuity and standardization are solved.

The invention discloses an ecological carbon sink monitoring method based on data processing, and relates to the technical field of ecological carbon sink monitoring, and the method comprises the following steps: S1, obtaining the current physiological parameters of each plant in vegetation of a to-be-monitored region, and determining the vegetation influence degree of the to-be-monitored region; s2, collecting the carbon emission of the to-be-monitored area in the historical time period; and S3, determining the final carbon emission at the next moment according to the vegetation influence degree of the to-be-monitored area and the carbon emission at the historical time period. According to the method, the complexity and the collaboration of the carbon circulation of the ecological system are comprehensively reflected, and the complex mechanism of the carbon circulation of the ecological system is precisely restored, so that the monitoring result can better reflect the real ecological nature of carbon sink.

The invention discloses a forest ecosystem carbon reserve determination method based on multi-source remote sensing data, and the method comprises the steps: constructing and analyzing a dominant tree species multi-temporal multi-feature classification data set according to Sentinel-1 and Sentinel-2 multi-source remote sensing data and research area forest resource checking vector data extraction; classifying the dominant tree species according to the multi-feature multi-temporal remote sensing data; and estimating the forest carbon reserves of different dominant tree species according to the optimal classification data set and the forest stock. According to the method, forest multi-feature and multi-temporal feature data are obtained by means of multi-source remote sensing data, and combined dimension reduction and separability analysis are performed, so that advantageous tree species spatial distribution is extracted, a forest stock and biomass linear model is fitted, and carbon reserve spatial distribution and features of a research area are estimated. And basic data and a practical basis are provided for further strengthening forest ecological system protection and implementing forest carbon reserve accurate improvement measures.

The invention discloses a carbon source and sink accounting method based on flux observation, an ecological system carbon reserve accounting system and a flux observation carbon source and sink accounting system are established, and the ecological system carbon reserve accounting system obtains carbon reserves of plants, soil, water and ground mud based on a sample point investigation method to estimate the carbon reserves of the ecological system. Estimating regional carbon reserves in combination with remote sensing survey; the flux observation carbon source sink accounting system is based on the constructed wetland carbon sink monitoring system and monitors data in real time; regional ecological system carbon reserve dynamic accounting is carried out by combining sample plot investigation with a carbon sink model and a remote sensing image technology, compared with the prior art, long-term fixed observation sample plots are set from multiple angles of lake wetland water, soil and gas generation, and Hongze lake wetland carbon sink observation data acquisition is carried out; and carrying out parameter adjustment and correction by utilizing a modern technical means and a large model technology, carrying out Hongze lake carbon sink model construction, and realizing Hongze lake carbon sink value accounting.

The invention provides an ecological system carbon sink accounting method and system based on a territorial space planning target. The method belongs to the technical field of carbon income and expenditure, and comprises the steps: obtaining and integrating basic data of ecological system carbon sink accounting and territorial space planning, and constructing a high-precision territorial space database based on the basic data; dividing the research area into different types of land utilization units according to a territorial space planning target, and determining carbon sink key parameters of each type of land utilization unit; the method comprises the following steps: collecting and integrating basic data related to ecological environment and territorial space planning through multiple ways, and constructing a high-precision territorial space database containing various information such as remote sensing images, topography and landform, climate, land utilization status, vegetation coverage and the like; through parallel computing and resource optimization management, efficient data preprocessing and spatial overlay analysis are realized, and a solid data basis is provided for subsequent carbon sink accounting.

The invention discloses a method for analyzing sensitivity of terrestrial ecosystem carbon cycle to drought, and relates to the field of carbon neutralizer.The method comprises the steps that terrestrial ecological data are collected and preprocessed, a standardized soil humidity index is calculated, and a drought event is recognized through a three-dimensional clustering method; drought characteristics are extracted, the correlation degree of the standardized land ecological data and the drought characteristics is calculated by using a Pearson's correlation method, and importance degree sorting is performed on the standardized land ecological data in combination with an interpretable machine learning method to obtain main climate driving factors; analyzing the influence degree of the drought characteristics on the change trend of the main climate driving factors by using a multi-source linear regression method; and analyzing the influence degree of the main climate-driven factors on the carbon cycle during the drought period by using the partial correlation coefficient between the main climate-driven factors and the carbon flux. The invention discloses the change rule of the land carbon sink driven by different climates.

The invention discloses a wetland carbon sink monitoring system and a carbon sink evaluation method, and the wetland carbon sink monitoring system is designed based on open circuit / closed circuit vorticity. Detection equipment of the wetland carbon sink monitoring system comprises a carbon dioxide analyzer, a three-dimensional ultrasonic anemorumbometer, a methane analyzer, sunlight-induced chlorophyll fluorescence observation equipment and micrometeorological monitoring equipment, and a carbon sink model is constructed based on the wetland carbon sink monitoring system. Main greenhouse gases are monitored in real time, high-frequency continuous atmosphere-vegetation interface and atmosphere-water body interface carbon income and expenditure data are obtained, wetland and water body ecological system carbon sink time change characteristics are revealed, a carbon sink model is constructed in combination with micrometeorological monitoring and environmental data, the Hongze lake wetland carbon sink pattern and influence factors are clarified, and the wetland carbon sink time change characteristics are analyzed. And estimating the wetland carbon sink potential of the Hongze lake.

The invention provides a high spatial resolution vegetation productivity method and system based on flux observation footprint, and relates to the technical field of ecological system carbon cycle process and model simulation, the method comprises the steps of calculating the flux footprint of each station, and determining the observation range of a vortex motion related system, and micrometeorological parameters comprise the height of an observation tower and the rough length; extracting land satellite high-resolution normalized vegetation index data matched with a 16-day period in the range of each station; utilizing the vegetation index data to drive and optimize a parameter framework based on a vortex motion correlation light energy utilization rate model; in combination with site carbon flux data, a Markov chain Monte Carlo method is adopted to invert model key parameters for optimization, and finally a model optimization parameterization result is obtained. The method has the beneficial effects that the accurate verification of the observation and remote sensing high-resolution GPP on the pixel scale based on the flux footprint is realized, and the problem that the current medium-resolution GPP cannot consider the parameter optimization and verification scheme of the flux footprint is solved.

The invention discloses a centralized photovoltaic power station carbon emission reduction and ecological system carbon income and expenditure comprehensive evaluation method. The method comprises the following steps: determining an influence area of a photovoltaic power station based on a remote sensing image; calculating the net primary productivity of the influence area, and constructing a monthly / year-by-year productivity time sequence B of the influence area; calculating net ecosystem productivity # imgabs0 # according to productivity data and soil respiration consumption of the influence area; inputting remote sensing attribute variables and climatic factors of the influence area into a productivity prediction model to obtain net ecosystem productivity # imgabs1 #; fusing the # imgabs2 # and the # imgabs3 # by adopting a weighted average fusion method to generate a productivity fusion value; based on the fusion value, calculating the carbon income and expenditure of the influence area in a set time range; calculating the carbon emission reduction of the photovoltaic power station based on the annual average generating capacity and the power marginal emission factor of the research time period; calculating the proportion of the carbon income and expenditure in the total carbon benefit, and taking the proportion as an ecological contribution index ECCR; the ECCR is positive, the larger the ECCR is, the stronger the carbon sequestration capacity of the ecological system is, and when the ECCR is negative, the system is a carbon source.

The invention provides a modeling method and system applied to ecological system carbon library monitoring under influence of water-power engineering, and the method comprises the steps: obtaining a drainage basin geographic information data set and a water-power engineering operation data set, and carrying out the water flow dynamic feature analysis of the drainage basin geographic information data set and the water-power engineering operation data set; the method comprises the following steps: obtaining a watershed water flow dynamic feature vector set, deducing soil physicochemical property offset and vegetation community structure variation according to the watershed water flow dynamic feature vector set, coupling the soil physicochemical property offset and the vegetation community structure variation to carry out carbon cycle process digital quantitative modeling, and generating a carbon reservoir reserve change sequence. And constructing an ecological system carbon library monitoring model under the influence of the hydropower engineering based on the carbon library reserve change sequence. According to the method, the accuracy of water-power engineering ecosystem carbon sink effect evaluation and prediction is effectively improved, and a more reliable basis is provided for related decisions.

The present application relates to the technical field of atmospheric science and environmental science, in particular to a method for distinguishing urban anthropogenic carbon emission and natural flux, which has the technical scheme as follows: a high-temporal and high-spatial resolution regional carbon assimilation system is used to obtain the temporal and spatial distribution information of CO2 concentration in the city; ensemble root mean square filter method is used to assimilate the simulated concentration and the observed concentration to obtain the optimal net carbon flux; the present application realizes real-time and quantitative distinction of anthropogenic emission and natural flux, calculates high-temporal resolution anthropogenic CO2 concentration contribution (F) by measuring total atmospheric CO2 concentration (C) and NO2 concentration, uses ensemble root mean square filter method to assimilate the high-temporal resolution anthropogenic CO2 concentration contribution (F) to obtain optimized anthropogenic carbon emission, and subtracts the optimized anthropogenic carbon emission from the posterior net carbon flux to obtain the ecosystem carbon flux, thereby realizing accurate distinction of anthropogenic emission and natural flux.

The invention provides a drainage basin green carbon library construction method and device based on evaluation-feedback regulation and a storage medium, and relates to the technical field of green carbon libraries, and the method comprises the steps: obtaining a core carbon data set under a drainage basin scale; simulating a net carbon sink estimated value through the ecosystem model of the process to obtain a net carbon reserve variation, and correcting an estimated value of the productivity of the net ecosystem according to a comparison result of the net carbon sink estimated value and the net carbon reserve variation to obtain a corrected watershed carbon sink potential; dividing the drainage basin into a plurality of green carbon reservoir functional areas based on the division standards of carbon reserves, carbon sink potential and carbon emission, and obtaining green carbon reservoir construction measures for different functional areas; and after the measures are implemented, obtaining drainage basin net ecosystem carbon balance trend evaluation data of each functional area, obtaining regulation and control feedback of each carbon library construction measure based on the change trend of the data, and further adjusting the carbon library construction measures. By adopting the green carbon library construction method provided by the invention, a feasible method can be provided for systematic construction of the green carbon library.

The present invention relates to the technical field of mine ecological restoration and carbon reserve estimation, and in particular to a method and system for estimating carbon reserves in ecosystems in coal mining subsidence areas. The method comprises the following steps: S1, dividing the coal mining subsidence area according to land use type, and determining the scope and area of ​​each land use type; S2, dividing the coal mining subsidence area according to spatial state, and forming a land use grid table with a unique code for each land use type; S3, obtaining initial carbon density parameters corresponding to the land use type, calculating the effect of surface subsidence on the carbon density parameters of each sub-area of ​​the coal mining subsidence area, and performing differentiated corrections; S4, calculating the total carbon reserve at different subsidence stages, analyzing the carbon reserve, carbon sequestration, and spatial distribution of each land use type, and comprehensively analyzing the temporal variation characteristics of carbon reserves. The present invention combines land use and subsidence state to analyze carbon density changes, thereby achieving an assessment of the spatiotemporal evolution characteristics of carbon reserves in coal mining subsidence areas.

The invention discloses a carbon dioxide concentration measurement system based on ecological system carbon reserves, and relates to the technical field of environmental monitoring, and the system comprises a data acquisition module, an environmental parameter acquisition module, an intelligent control module, a safety protection module, a remote monitoring regulation and control module, a COconcentration closed-loop control module and a temperature model establishment module. According to the carbon dioxide concentration measurement system based on the ecological system carbon reserves, the intelligent control module and the environmental parameter acquisition module are arranged, carbon dioxide concentration data are corrected in real time by using a data compensation algorithm in combination with parameters such as temperature and air pressure, and the influence of temperature and air pressure changes on the measurement precision is effectively eliminated; meanwhile, the temperature model building module builds a temperature influence model based on historical and real-time temperature data, a data compensation algorithm is further optimized, the measurement accuracy under different ecological system temperature dynamic changes is improved, and the problem that an existing system is prone to being interfered by environmental factors is solved.

The invention provides a land surface energy water carbon flux estimation method and device and electronic equipment, and relates to the technical field of earth science. The land surface energy water carbon flux estimation method comprises the following steps: acquiring multi-circle interaction parameters of a land surface system in a preset time period of a target research area; optimizing a simple biosphere mode by utilizing multi-sphere interaction parameters of a land surface system; wherein the simple biosphere mode comprises an ecological system carbon cycle module, the ecological system carbon cycle module comprises an ecological system respiration module, the ecological system respiration module is used for obtaining the respiratory capacity of an ecological system and comprises a heterotrophic respiration sub-module and an autotrophic respiration sub-module, and the heterotrophic respiration sub-module is used for obtaining the heterotrophic respiration capacity; and predicting land surface energy water carbon flux simulation data of the target research area in the next time step by using the optimized simple biosphere mode. According to the invention, land surface key energy flux, water flux and carbon flux data with high resolution can be efficiently and accurately obtained.

The invention belongs to the technical field of forest ecological system carbon cycle monitoring, and relates to a regional scale forest net ecological system carbon exchange estimation method fusing ground vortex covariance observation and multi-source remote sensing data. The problems of insufficient representativeness of flux monitoring forest types and limited precision of pure remote sensing estimation during regional scale estimation of forest carbon sink in a traditional method are solved. A membership function matrix is innovatively constructed by using fuzzy mathematics, EC measured data and multi-source remote sensing data are matched, and effective fusion of point and surface data is realized. According to the method, a regional forest carbon sink measurement model based on remote sensing data and a flux observation network is constructed, high-precision regional carbon sink estimation is realized, and single-point limitation is overcome; the spatial pattern (presenting the gradient characteristic of high southeast and low northwest) of the temperate forest carbon sink and the seasonal change are disclosed; it is determined that carbon sink annual fluctuation is mainly influenced by meteorological conditions and vegetation state changes; and an effective tool is provided for accurate evaluation of regional forest carbon sink and carbon management decision.

This invention discloses a method for predicting carbon storage in regional forest ecosystems, belonging to the field of climate change analysis technology. The method includes: predicting future land use patterns using a land use change simulation model; obtaining current vegetation carbon storage values ​​using a biomass remote sensing inversion model, and extrapolating the increase in vegetation carbon storage in newly added forest areas and unchanged forest areas using the average biomass method and allometric growth model, thereby predicting the vegetation carbon storage of the forest ecosystem; obtaining current soil carbon storage values ​​based on carbon density data of different soil types in the target area, analyzing the increase in soil carbon storage in the target area using carbon sequestration rate analysis, thereby predicting the soil carbon storage of the forest ecosystem; and combining the predicted vegetation carbon storage values ​​and the predicted soil carbon storage values ​​to determine the predicted carbon storage value of the forest ecosystem in the target area. This invention solves the technical problems of incomplete coverage and low accuracy in related methods for predicting carbon storage in regional forest ecosystems.

The invention discloses an island forest carbon flux monitoring and evaluation system and method based on multi-source data fusion. The system comprises a data set construction module, a collaborative relationship analysis module, a dynamic model construction module, an update mode classification module and a result evaluation module. According to the method, the multi-time scale change rule of the island forest carbon flux can be accurately monitored by integrating the multi-source data and constructing the dynamic model, and meanwhile, the island forest carbon flux is comprehensively evaluated according to the quantitative relation between the carbon flux and the carbon sink function in different updating modes. The method not only improves the understanding of the carbon balance of the island forest ecological system, but also provides a scientific basis for formulating a targeted optimization strategy, effectively enhances the stability of the carbon sink function of the island forest in the process of coping with climate change and post-disaster recovery, and provides powerful support for ecological protection and sustainable development.

The application provides a plug-in mechanism for a prairie ecosystem carbon sink automatic determination box, a box body, a system and a determination method thereof, and belongs to the technical field of detection devices. The problems of low test frequency and manual operation in the prior art are solved, and continuous automatic observation of NEE and ER is realized. High-frequency continuous carbon flux information is provided for process-based ecosystem carbon cycle research.

The invention discloses a watershed scale ecosystem carbon reserve and carbon flux expression method, which belongs to the technical field of carbon reserve and carbon flux expression methods, and realizes dynamic expression of watershed scale ecosystem carbon reserve and carbon flux by constructing a carbon reserve matrix and a carbon flux matrix and integrating transverse carbon migration and dissolved inorganic carbon flux. The carbon reserve matrix comprises overground and underground biomass carbon reserves of an arbor layer, a shrub layer and a herbaceous layer and carbon reserves of dead standing trees, litters, a soil layer, a wetland and an aquatic ecosystem of each pattern spot in the drainage basin, and calculating the total carbon reserves of each pattern spot and the drainage basin; the carbon flux matrix comprises the carbon reserve variable quantity and the carbon migration flux of each pattern spot carbon library in different time intervals, and the carbon exchange flux, the water body carbon flux and the DIC related flux of the ecological system and the atmosphere at the same time.

The utility model relates to the field of carbon sink monitoring equipment, and discloses novel wetland ecosystem carbon sink monitoring equipment which comprises a gear box, a third bevel gear is arranged at the top end in the gear box, a threaded rod is fixedly connected in the third bevel gear, the outer side of the threaded rod is in threaded connection with a fixing block, and one side of the fixing block is fixedly connected with a connecting block. The end, away from the fixing block, of the connecting block is fixedly connected with a protection box, the end, away from the threaded rod, of the protection box is rotationally connected with a door plate, and a second filter screen is arranged at the bottom of the door plate. According to the device, the second bevel gear is driven to rotate by starting the motor in the motor box, the second bevel gear is meshed with the third bevel gear, so that the threaded rod is driven to rotate, the fixing block is connected to the outer side of the threaded rod in a threaded mode, the threaded rod rotates to drive the fixing block to ascend and descend, then the protection box is driven to ascend and descend, and therefore equipment can be conveniently installed and maintained.

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.