40 results about "Ecosystem carbon" patented technology

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 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 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 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 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 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.

The invention discloses a method and a system for evaluating economic feasibility of carbon sequestration and emission reduction measures, and belongs to the technical field of ecological system carbon sequestration and emission reduction. The evaluation method is carried out according to the following steps: the economic feasibility of carbon sequestration and emission reduction measures meeting the following formula I or the following formula II is realized; the REW-CTW-DPCgt is selected from the group consisting of 0 formula I; and REC-CTC + IPCgt; 0 formula II; in the formula I, REW is the economic benefit of returning to wet and clean income and expenditure, and the dimension is yuan / ha; cTW is the cost benefit of returning to humidity by returning to ploughing, and the dimension is yuan / ha; dPC is grain output reduction loss, and the dimension is yuan / ha; in the formula II, REC is the economic benefit of wetland reclamation, and the dimension is yuan / ha; cTC is reclamation economic cost, and the dimension is yuan / ha; iPC is the economic benefit of increasing the yield of the new farmland, and the dimension is Yuan / ha. A plurality of wetland field verifications prove that the evaluation method and system are reliable, effective and accurate.

The invention provides a strip mine waste dump ecological system carbon sink evaluation method and device and electronic equipment, and relates to the technical field of environmental science and ecological restoration, and the method comprises the steps: determining remote sensing characteristic parameters based on multispectral remote sensing image data of a strip mine waste dump; constructing a vegetation net primary productivity model based on the remote sensing characteristic parameters and ground actual measurement data, and performing inversion to generate an estimated value of vegetation net primary productivity NPP; constructing a soil carbon storage model based on the soil sample index data and the microbial respiration intensity, wherein the soil carbon storage model is used for predicting soil carbon storage capability index data; and according to the NPP estimated value of each target soil sample area generated by the NPP model in each time period and the corresponding soil carbon storage capacity index data, determining a soil dump carbon sink space-time distribution result, thereby solving the technical problem that the carbon sink capacity is difficult to accurately and dynamically assess in the prior art, and improving the carbon sink capacity evaluation efficiency. The spatial-temporal dynamic accurate evaluation of the carbon sequestration capability of the ecological system of the strip mine dumping site is realized.

The fusion foundation multi-source satellite chlorophyll fluorescence regional GPP assimilation inversion system belongs to the technical field of terrestrial ecosystem carbon cycle monitoring, and comprises an observation data acquisition module; a signal unmixing and simulation generation module, which is used for unmixing total fluorescence into pure chlorophyll fluorescence SIF, and driving an ecological model to generate SIF and GPP simulation values based on environmental stress data; a state component decoupling module, which is used for decoupling total GPP simulation values into a light response fast component, a slow component and a memory component; a state evolution prediction module, which is used for predicting dynamic evolution of the slow component and the memory component; and an adaptive assimilation inversion module, which is used for taking the slow component and the memory component as state variables, taking SIF observation values as observation data, and combining a prediction result of the state evolution prediction module to perform inversion on regional GPP. The system overcomes systematic deviation caused by model simplification or data singularity in traditional methods.

The invention discloses a closed-loop carbon circulation method for improving the carbon sink function of an ecological system and application thereof.The method comprises the following steps that S1, a biochar soil conditioner is prepared, specifically, plant residues generated due to planting management are collected, biochar is prepared through pyrolysis, and the biochar, a fermented organic fertilizer, a composite carbon sequestration fungicide and iron minerals are mixed according to a preset mass ratio to obtain a biochar soil conditioner; the biochar soil conditioner is prepared; s2, a soil improvement and carbon sink enhancement step: applying the biochar soil conditioner to soil planted with plants so as to improve the physical and chemical properties of the soil, promote the growth of the plants so as to fix carbon in the atmosphere, and conveying and storing the fixed carbon in the soil through litters and root exudates of the plants so as to enhance the carbon sink in the soil. And a closed-loop cycle from plant carbon sequestration to soil carbon storage is completed. The closed-loop design ensures that the whole flow of carbon from atmosphere capture to soil storage is through, so that the net carbon sink capacity of the whole ecological system is remarkably improved.

The invention provides a soil, grass and livestock carbon cycle regulation and control method and system based on grazing management, and the method comprises the steps: collecting soil, grass and livestock multi-source data of a preset region, and forming a carbon flow pool; establishing a carbon circulation system coupling degree evaluation model, and combining the carbon flow pool to obtain a coupling degree rating result of the soil, grass and livestock carbon circulation system; based on the coupling degree rating result, the supporting level of the carbon circulation state of the ecological system on the grassland productivity and the livestock productivity is diagnosed, and a key carbon flow unbalance path causing decoupling of the soil, grass and livestock carbon circulation system is positioned; constructing a grazing and biological / non-biological factor threshold model based on the key carbon flow imbalance path; based on a grazing and biological / non-biological factor threshold model, grazing management is executed, a soil-grass-livestock carbon circulation system is driven to be recoupled, and cooperative improvement of grassland productivity and livestock productivity is achieved. According to the technical scheme, the conversion from blind grazing to intelligent carbon management is realized.

The invention discloses a land ecosystem carbon source sink assimilation prediction method and device based on adaptive moment estimation, equipment and a medium. The method comprises the following steps: collecting a meteorological data set; the meteorological data set is input into the optimized carbon cycle model to predict the carbon flux, the carbon cycle model comprises a photosynthesis model and a respiratory action model, the photosynthesis model is used for obtaining photosynthesis flux, and the respiratory action model is used for obtaining respiratory action flux; wherein the optimization process of the carbon cycle model comprises the following steps: carrying out data assimilation on model parameters of the carbon cycle model by adopting an adaptive moment estimation algorithm, and constraining carbon flux to obtain an initially optimized carbon cycle model; fitting photosynthesis flux and respiratory flux based on the carbon cycle model of the initial optimization model parameters, and automatically constraining flux sum with poor fitting effect according to the fitting effect to obtain a final optimized carbon cycle model.

The application discloses a device and method for monitoring forest litter decomposition rate, which comprises a sealed monitoring container, an internal sampling part for placing litter samples, and integrated gas concentration sensors, carbon dioxide sensors and carbon removal modules with carbon removal functions. The carbon removal module is connected with a weighing module for monitoring the carbon dioxide absorption amount through mass change. The application realizes quantitative evaluation of the litter decomposition process by real-time collection of dynamic changes of gas concentration in the monitoring space, combination of temperature and humidity environmental factors, and use of a decomposition rate correlation model constructed based on the principle of microbial metabolism. Compared with the traditional mass difference method, the application can effectively shield external environmental interference, realize in-situ, high-frequency and accurate real-time monitoring, and provide scientific data support for forest ecosystem carbon cycle research.

The invention relates to the technical field of remote sensing, in particular to a leaf life inversion method based on a PROSAIL model, which performs minimum mean square error matching in combination with a remote sensing observation spectrum, can quantitatively estimate the average leaf life of pixels on regional and time sequence scales, provides important input for carbon income and expenditure simulation of an ecological system, and has a good application prospect. By introducing the functional character of the leaf life, the spatial and temporal distribution and the change rule of the canopy leaf age structure can be described. Compared with a traditional ground survey method, the method has the advantages that the leaf life information can be obtained on the regional scale and the long-time sequence, the space coverage and the time continuity of leaf age structure detection are greatly improved, and new key input is provided for ecological system age structure, carbon cycle model parameterization and vegetation restoring force analysis.

The present application relates to the technical field of remote sensing, in particular to a kind of leaf life span inversion method based on PROSAIL model, minimum mean square error matching is carried out in combination with remote sensing observation spectrum, and the average leaf life span of pixel can be quantitatively estimated on the scale of region and time series, important input is provided for ecosystem carbon budget simulation, by introducing the functional trait of leaf life span, the present application can depict the spatio-temporal distribution and variation law of canopy leaf age structure.Compared with the traditional method of ground investigation, the present application can obtain leaf life span information on regional scale and long time series, greatly improve the spatial coverage and time continuity of leaf age structure detection, provide new key input for ecosystem age structure, carbon cycle model parameterization and vegetation resilience analysis.

The invention provides a vegetation gross primary productivity simulation precision improvement method fusing flux site features, and relates to the technical field of ecological environment remote sensing and vegetation productivity simulation. The method comprises the following steps: preprocessing multi-source data to obtain space-time matched flux site measured data, remote sensing image data, meteorological driving data and auxiliary data; constructing a physiology-canopy-microclimate three-dimensional feature system, and extracting six types of core feature parameters; an effective feature set is obtained through a three-stage screening mechanism of correlation test-importance sorting-redundancy elimination; taking the effective feature set as a constraint term, fusing the effective feature set into a basic GPP simulation model, and constructing a fusion simulation framework in combination with a set Kalman filtering data assimilation algorithm; iteratively correcting the weight of the characteristic parameter through a gradient descent method until a preset precision threshold value is met; the geographically weighted regression model is adopted to realize spatial-temporal scale extension of characteristic parameters, and the method can be applied to scenes such as regional scale vegetation productivity monitoring and ecological system carbon cycle evaluation.

This invention provides a method for constructing an index model to evaluate the carbon neutrality capacity of karst areas, comprising: S1. acquiring geospatial and ecological environment data of the target karst area; S2. calculating the carbonate carbon sink (CCS), silicate carbon sink (SCS), and vegetation-soil ecosystem carbon sink (VSCS) of the target karst area based on the data obtained in S1; S3. calculating the comprehensive karst carbon sink (CS) of the target karst area based on step S2; and S4. obtaining the carbon emissions (CE) of the target karst area. This invention is systematic, scientific, and practical, and can accurately assess the net carbon balance of karst areas, clarifying whether they are "carbon surplus areas" or "carbon deficit areas." It provides an indispensable core assessment tool for formulating differentiated emission reduction and carbon sink enhancement strategies for regions, developing karst carbon sink trading projects, and serving the national "dual carbon" strategic goals.

The invention discloses a land ecosystem carbon flux prediction method and system based on space-time decomposition. Relates to the technical field of environmental science. The method comprises the following steps: acquiring original carbon flux data and correspondingly matched environment covariable data; decomposing the original carbon flux data into a spatial component sample set I1 and a time component sample set I2; calculating to obtain a feature set S0 and a feature set FT according to the environment covariable data; key factors are screened from the feature set S0 to form a final space input feature set FS, and a space component result O1 is obtained through prediction according to the environment covariable data corresponding to the I1 and the final space input feature set FS; according to the environment covariable data corresponding to the I2 and the feature set FT, predicting to obtain a time component result O2; adding the space component model prediction result O1 and the time component model prediction result O2 to obtain a final carbon cycle estimation value; and predicting by using the estimated value to obtain a carbon cycle space result.

This invention relates to the field of remote sensing data processing technology, and discloses a remote sensing-based method and system for monitoring ecosystem carbon sinks. The method includes: preprocessing multi-source remote sensing data and constructing spatiotemporal volumetric data units carrying initial uncertainties, and storing them indexed; constructing a Gaussian process regression model to adaptively process time series data, suppressing the influence of outliers by iteratively correcting their uncertainties, and generating parameter estimates and corresponding uncertainties; using an inverse variance weighting method to fuse parameter estimates from different data sources, generating fused parameters and updated uncertainties; using the fused results to drive an ecosystem process model, and generating carbon sink estimation results and their final uncertainties through an uncertainty propagation algorithm. This invention solves the problems of data inconsistency, noise interference, and difficulty in assessing the reliability of results in traditional methods. By constructing an uncertainty quantification and propagation mechanism, it improves the accuracy and reliability of carbon sink estimation.

The application discloses a forest ecosystem carbon storage accounting method and system, the method is through obtaining optical remote sensing data, vegetation index, texture factor, spaceborne lidar characteristic parameter and the like characteristic variable, and carries out screening, to determine the most influential feature to target variable, removes redundant and irrelevant variables, retains the variable most contributing to model prediction effect, improves the precision and stability of model, based on the screened characteristic variable, adopts random forest method to construct crown height inversion model, realizes accurate estimation of crown height, finally uses allometric equation to calculate the biomass of forest ecosystem vegetation, finally the biomass of forest ecosystem vegetation is summarized to obtain total biomass of vegetation, multiplies carbon content coefficient, obtains the carbon storage of forest ecosystem vegetation, the method realizes wide area, efficient forest parameter monitoring, reduces monitoring cost and improves environmental adaptability, solves the data continuity and standardization problem.

The invention discloses an urban ecosystem carbon reserve prediction method and device and a medium, and relates to the technical field of carbon reserve prediction, and the method comprises the steps: carrying out the scene simulation through a carbon reserve prediction model based on a fusion ecological data set, evaluating the different influences of a climate change scene and a land utilization change scene on the carbon reserve, and obtaining a prediction result; generating a multi-scenario carbon reserve prediction result; performing spatial division on the multi-scenario carbon reserve prediction result, identifying the trend and difference of carbon reserve changes in different regions, and generating carbon reserve spatial distribution; according to the carbon reserve space distribution, optimizing weight factors and parameter setting in the carbon reserve prediction model, and generating an optimized carbon reserve prediction model; and simulating carbon reserve changes in different scenes through the optimized carbon reserve prediction model, extracting a key trend of the carbon reserve changes, and generating a carbon reserve prediction report. According to the method, adaptive parameter adjustment is realized, the prediction precision is improved, and differentiated carbon management decisions are supported.