195 results about "Soil carbon" patented technology

The invention relates to the field of agricultural fertilization, in particular to a soil carbon nitrogen ratio fused straw returning fertilization optimization method, which comprises the following steps of: performing standardization processing on farmland static characteristic data to obtain a farmland standardization characteristic vector and a characteristic standardization threshold value; performing coupling analysis on the straw returning amount and the soil carbon-nitrogen ratio in the farmland standardized feature vector set to obtain risk factors; performing path gradient integration on the risk potential energy field function to obtain a symmetric path cost gain factor; performing path cost gain correction on the Euclidean distance to obtain adaptive distance measurement; and fuzzy C-means clustering is performed on the farmland standardized feature vectors through adaptive distance measurement to obtain differentiated fertilization management partitions, so that the problem of inaccurate fertilization decision caused by incapability of identifying key feature nonlinear coupling risks in existing management partitions based on Euclidean distance is solved.

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 relates to the field of agricultural data analysis, in particular to a japonica rice paddy field soil carbon nitrogen ratio dynamic intelligent assessment method, which comprises the following steps: acquiring and preprocessing japonica rice paddy field environment time sequence data to obtain a standardized environment data set; performing nonlinear congestion analysis on the soil moisture content state to obtain a corrected moisture dimension distance component; obtaining a corrected temperature dimension distance component by evaluating the metabolism permissible degree of the soil moisture on the temperature effect; performing double weighted fusion on the moisture and temperature correction distance components to obtain a soil environment state clustering result; through coupling calculation of a soil environment state clustering result and a first-order dynamic decomposition model, a dynamic intelligent evaluation result of the carbon-nitrogen ratio of the japonica rice paddy field soil is obtained, so that the problem that existing clustering cannot accurately distinguish aerobic and anaerobic environment states in a japonica rice paddy field scene and causes deviation of the evaluation result of the carbon-nitrogen ratio of the soil is solved.

The invention discloses a forest carbon reserve and carbon sink monitoring and evaluating method based on a multi-source remote sensing technology. The method comprises the following steps: multi-source remote sensing data acquisition: respectively acquiring optical remote sensing data and radar remote sensing data; tree species classification and identification: carrying out tree species classification on the forest in the research area to realize tree species scale space distribution information extraction; for different tree species, biomass model parameters obtained through field investigation are combined, a biomass estimation model based on the tree species is established, model input parameters are biomass model parameters, and vegetation biomass is output; calculating the carbon reserve: calculating the vegetation carbon reserve by utilizing the inverted vegetation biomass and combining the carbon content coefficients of different tree species; estimating the soil carbon reserve, and finally obtaining the total carbon reserve of the forest ecosystem: calculating the carbon reserve variation of the forest ecosystem at different time points based on the multi-source remote sensing data of the long-term sequence. According to the invention, large-range, high-precision and continuous forest carbon reserve and carbon sink monitoring and evaluation considering tree species difference is realized.

The invention discloses a monitoring system for forest ecological carbon sink calculation, and belongs to the field of ecological environment monitoring and carbon sink evaluation. Comprising a foundation optical remote sensing module, a crown biomass calculation module, a soil carbon component identification module, a vertical carbon flux detection module, a regional microclimate analysis module, a time sequence big data coupling module, a carbon source and carbon sink model fusion module and a result correction feedback module. The method comprises the following steps: collecting vegetation three-dimensional structure data through a multi-frequency laser radar, calculating unit-area canopy carbon storage acceleration in combination with seasonal climate interference parameters, and fusing turbulent carbon exchange and soil carbon change data to construct a regional carbon flux coupling model; the system collects cross-rosa chinensis carbon change data to construct a multi-dimensional feature tensor diagram, dynamically updates a weight and a fitting function, realizes carbon sink dynamic estimation and feedback optimization based on a biology-climate-time three-dimensional cooperation mechanism, and improves forest carbon sink monitoring precision and stability. The beneficial effect is that scientificity and accuracy of ecological environment monitoring and carbon sink evaluation are improved.

The invention relates to the technical field of soil monitoring and data analysis, and discloses a soil carbon and nitrogen content dynamic prediction method based on deep learning. The method comprises the following steps: acquiring soil monitoring data from an environment monitoring platform, performing dimension reduction by using a multi-layer perceptron model to obtain core features, and dividing a dynamic monitoring data set according to the core features; taking the data set as input, and constructing an initial prediction model by using a time convolutional network; and constructing a meteorological factor library and an influence map, replacing an initial model time node, and obtaining a climatic factor node prediction model through cross validation. And performing regression fitting and cross validation verification by using a Gaussian process, and constructing a soil dynamic prediction model. According to the method, through multi-step data processing and model construction, the influence of soil data characteristics and meteorological factors is effectively mined, the dynamic change of the soil carbon and nitrogen content can be accurately predicted, and powerful support is provided for the fields of precision agriculture, environmental protection and the like.

The invention discloses a multi-modal data fused karst forest soil carbon cycle feature extraction method. The method comprises the following steps: acquiring soil physical and chemical protection component carbon data, bioactive component carbon data, isotopic tracing data and the like of different succession stages of a karst forest to establish multi-source heterogeneous data; integrating the obtained multi-source heterogeneous data into a'physical-chemical-biological-isotope 'four-dimensional feature space through feature tensor decomposition; constructing a carbon saturation capacity prediction hybrid optimization model, and outputting lt; the maximum carbon sequestration capacity and component carbon proportion of 53 [mu] m microaggregates; the method comprises the following steps: performing mineralization culture on soil in different succession stages of the karst forest, analyzing a dynamic proportion of exogenous carbon to original soil carbon and an input / output path of soil carbon in combination with a 13C / 15N double-standard-sample time-varying calibration curve, and calculating a carbon stability disturbance threshold. According to the method, collaborative analysis of multi-source data is realized, and the temporal-spatial resolution and the model precision of carbon cycle feature extraction are remarkably improved.

The invention discloses a rhizosphere deposited carbon flux real-time monitoring method adopting a sensor array, and relates to the technical field of soil carbon cycle monitoring, and the method comprises the steps: determining a layered sampling depth and a horizontal concentric circle partition range based on the three-dimensional distribution characteristics of a target plant root system, and mapping the layered sampling depth and the horizontal concentric circle partition range to a preset three-dimensional grid coordinate system; gas sensors and environmental parameter sensors are deployed according to root system partitions, and a multi-dimensional sensor array is constructed. Through the three-dimensional grid coordinate system and the root system density gradient model, accurate spatial mapping of rhizosphere carbon flux is realized, high matching of sensor layout and root system biomass distribution is ensured by utilizing division of vertical layering and horizontal concentric circle partition, and the gas sensor and the environmental parameter sensor are cooperatively deployed, so that the reliability of the system is improved. The device can capture instantaneous changes such as root exudate pulse and microbial respiration, generates a continuous and consistent carbon flux data set, and provides a high-resolution dynamic observation basis for researching plant-soil-microbial interaction.

Disclosed is a method and device for predicting soil organic carbon based on spectrum-guided ensemble learning. The method includes: obtaining a soil sample and a real organic carbon content and an original soil spectrum thereof, pre-processing the original soil spectrum to obtain a soil spectrum sample, constructing, based on the soil spectrum sample, a sample set, grouping the sample set into a first training set and a validation set, and using the real organic carbon content as a label; training, based on the first training set and the corresponding labels, a partial least squares regression model, a Cubist model and a random forest model to obtain carbon content predicted value sets of the three models; constructing, based on the carbon content predicted value sets of the three models and soil spectrum principal component data, a second training set, and training a second random forest model with the second training set and corresponding labels to obtain a spectrum-guided ensemble model. The method combines the advantages of different predictive models and can accurately predict the soil carbon content.

The invention relates to the technical field of carbon sink calculation, in particular to a forestry carbon sink calculation model, a forestry carbon credit calculation method and a storage medium. The model comprises an overground biological carbon sink amount estimation module used for calculating overground biological carbon sink data of a target area, an underground soil carbon sink amount estimation module used for calculating soil carbon sink data of the target area, and a litter carbon reserve estimation module used for calculating litter carbon sink data of the target area. The combined loss calculation module is used for calculating carbon loss data; and the final carbon sink total quantity fusion module is used for calculating the carbon sink quantity according to the aboveground biological carbon sink data, the soil carbon sink data, the litter carbon sink data and the carbon loss data. A forestry carbon sink calculation model based on multiple dimensions is established through multiple types of carbon sink estimation modules, and the problem that the requirement for rapid authentication of the global carbon market cannot be met due to high manual dependency is solved; the problems of low calculation precision, high cost and the like caused by insufficient model dynamics, single model calculation dimension and the like are solved.

The invention provides a hydraulic engineering carbon sink value accounting method and system, and relates to the crossing field of hydraulic engineering and environmental science, and the method comprises the steps: collecting the engineering basic data and multi-dimensional ecological data of the hydraulic engineering; constructing a soil carbon sink sub-model, a water body carbon balance sub-model and a vegetation biological quantum model to form a carbon sink dynamic accounting model; and dynamically calculating the total carbon sink amount and converting the total carbon sink amount into an economic value according to the engineering basic data, the multi-dimensional ecological data and the carbon sink dynamic accounting model. The method is used for quantifying the carbon sink contribution of the water conservancy project to ecological systems such as soil, water and vegetation and converting the carbon sink contribution into economic value evaluation, so that the defects in the prior art are overcome, the carbon sink value of the water conservancy project is accurately and comprehensively calculated, and a scientific basis is provided for environmental benefit evaluation and sustainable development of the water conservancy project.

The invention discloses a dynamic monitoring method, system and device for soil carbon loss and a storage medium, and relates to the technical field of environment monitoring, and the method comprises the steps: obtaining soil parameters through a multi-mode sensing array and a runoff monitoring device which are arranged in a target soil area, the soil parameters comprise a soil gaseous parameter, conductivity, a soil solid parameter and a liquid carbon parameter; calculating a carbon loss amount generated by soil respiration according to the soil gas state parameter, and taking the carbon loss amount as a respiration carbon flux; according to the conductivity, the soil solid parameters and a preset soil organic carbon content relation model, calculating the carbon loss amount of soil erosion migration as erosion carbon flux; calculating the carbon loss amount of soil leaching loss according to the liquid carbon parameters, and taking the carbon loss amount as leaching carbon flux; and performing weighted summation on the respiration carbon flux, the erosion carbon flux and the leaching carbon flux to obtain the total carbon loss of the soil in the target area. A more comprehensive carbon income and expenditure evaluation method is provided by establishing a soil total carbon loss calculation framework covering'gas-solid-liquid 'three phases.

The invention relates to the technical field of forest wetland carbon sink monitoring and evaluation, and particularly discloses a forest wetland carbon sink intelligent monitoring and evaluation system and method. According to the method, a vegetation carbon sequestration potential evaluation result is obtained by analyzing vegetation structure feature data of forest, water and soil composite ecology of the forest wetland, a water-soil-carbon cooperative evaluation result is obtained by analyzing specific hydrological-soil carbon cycle key elements of the forest wetland, and environmental disturbance response factors are obtained by combining various environmental disturbance factors. Through multi-source data fusion and intelligent modeling, a carbon sink quantitative evaluation value is output, and abnormal feedback is triggered; the problems that in the prior art, adaptability to a forest wetland compound ecological system is insufficient, evaluation refinement is insufficient, and dynamic response is lacked are solved. According to the method, accurate and dynamic monitoring and evaluation of forest wetland carbon sink are realized, carbon sink short plates can be accurately positioned, optimization support is provided, and technical support is provided for protection, restoration and optimization management of forest wetland carbon sink resources.

A soil carbon measurement device (100) can include a subsurface support (110) configured to be inserted at least partially under a soil surface. The subsurface support can include an interior volume (114) and a. gas-permeable barrier separating the interior volume (114) from soil under the soil surface. The device (100) can also include an ultraviolet light source (1.30) positioned to expose the soil under the soil surface to ultraviolet light, and a carbon dioxide sensor (150) configured to measure a concentration of carbon dioxide in the interior volume (114) of the subsurface support (110).

The invention discloses an acid contaminated soil carbon emission reduction method based on a coupled ecological system, which comprises the following steps: adding rice straw biochar into acid contaminated soil, planting plants which are perennial ryegrass, and after the plants are cultivated to a mature period, strengthening the photosynthesis capability of the plants and the carbon sequestration capability of the soil at the same time, so as to improve the carbon sequestration capability of the acid contaminated soil. The negative increase of the CO2 emission cumulant and the remediation of the acidic polluted soil are realized. According to the method, the emission cumulant of CO2 in the acid polluted soil is greatly reduced, the total absorption amount of CO2 reaches up to 193.41 g / m < 2 >-304.41 g / m < 2 >, and the method has the advantages that raw materials are low in cost and easy to obtain, operation is easy, the operation cost is low, secondary pollution is avoided, and the method is suitable for large-scale use and has wide application prospects in the field of carbon emission reduction of the acid polluted soil (such as heavy metal pollution).

A carbon fixation material for adsorbing heavy metals in soil and a preparation method thereof are provided. The carbon fixation material includes modified biochar, calcium silicate, aluminum sulfate, hydroxymethyl cellulose and urea. The modified biochar is prepared by preparing biochar from agricultural and forestry waste, and modifying the biochar with ferric chloride and a mercapto silane coupling agent. The carbon fixation material has excellent carbon fixation capacity, the biochar is prepared by processing agricultural and forestry waste, the material source is green and environmentally friendly, can reduce environmental pollution. After modified by ferric chloride and mercapto silane coupling agent, the biochar has excellent adsorption amount and adsorption capacity for heavy metal ions and has strong retention capacity after adsorption, the modified biochar can be widely used in soil carbon fixation and heavy metal pollution treatment.

The invention discloses a machine learning and multi-source variable-based high-precision prediction method for soil organic carbon in an arid region, and solves the problems of high spatial heterogeneity of soil organic carbon in the arid region and high traditional detection cost. The method comprises the following steps: collecting a soil sample by adopting layered random sampling, and integrating seven types of environmental variables such as climate, vegetation, terrain and remote sensing to construct a feature set; a Boruta algorithm is adopted for screening, an optimized feature set is obtained, and redundant data are eliminated; the method comprises the following steps: dividing a training set and a test set through Kolmogorov-Smirnov test; the method comprises the following steps of: generating 100 base models by using parameter optimized random forest and extreme gradient lifting double-model collaborative prediction and combining a Bootstrap integration strategy; inputting the target area optimization feature set to obtain an organic carbon prediction result; according to the method, the monitoring cost is effectively reduced, spatial-temporal dynamic inversion of soil organic carbon based on historical environment variables is supported, and a reliable technical scheme is provided for dynamic monitoring and ecological management of soil carbon.

The invention belongs to the technical field of soil organic matter improvers, and discloses a soil organic matter improver based on a compound microbial agent and a preparation method thereof, and the soil organic matter improver comprises the following components: a compound enzyme, a modified chitosan microsphere complex, a modified polyelectrolyte, an inhibitor L-methionine sulfoximine, a substrate, an auxiliary factor and the compound microbial agent. A compound enzyme system is used as a core, soil ammonium ions are circularly and efficiently assimilated through glutamine synthetase / glutamate synthetase, and the soil ammonium ions are converted into organic nitrogen; and energy guarantee is provided by virtue of polyphosphate kinase. The modified chitosan microsphere complex is used for protecting and slowly releasing enzyme and a substrate, and controlled release of the inhibitor L-methionine sulfoximine is realized through the modified polyelectrolyte, so that carbon-nitrogen balance of soil is regulated and controlled. The system has a synergistic effect with a compound microbial agent, the problem of soil organic matter reduction caused by excessive nitrogen application is effectively solved, meanwhile, the crop root biomass is remarkably increased, and the soil organic matter content is increased.

The invention discloses a straw particle plowing and applying technology for rapidly increasing organic carbon in tobacco field soil, which adopts straw particle fertilizer as a returning raw material and returns to the field in a manner of deeply plowing into soil. According to the technical scheme, a certain amount of straw particles are returned to the field in cooperation with deep ploughing and returning to the field, the content of organic carbon components in soil of soil layers of 0-20 cm and 20-40 cm can be increased at the same time, and the method is an effective measure for promoting soil carbon sequestration.

The invention discloses a method for detecting soil active organic carbon based on fluorescence spectrometry, and belongs to the technical field of soil detection. The method comprises the following steps: sequentially drying, sieving and grinding fresh soil to obtain a soil sample, and sequentially performing active organic carbon extraction, purification, decoloration and pH regulation on the soil sample to obtain a soil liquid to be detected. The method comprises the following steps: adding fluorescein into a soil liquid to be detected to form a soil internal standard detection liquid, obtaining a soil fluorescence spectrum through three-dimensional fluorescence spectrum scanning, carrying out background deduction and correction coefficient correction, and calculating the active organic carbon concentration of the soil by using tryptophan, tyrosine and SMP fluorescence concentration standard curves. According to the method, an internal standard method is combined with a fluorescence spectrum technology, and through multi-step sample pretreatment and spectrum correction, the detection accuracy and the anti-interference capability are improved, the active organic carbon concentration of the soil can be rapidly and accurately determined, and an effective means is provided for soil carbon cycle research and quality evaluation.

The invention discloses a soil-plant carbon element tracking method and system based on isotope labeling, particularly relates to the technical field of soil carbon cycle in-situ detection, and is used for solving the technical problem that a carbon migration path in a rice rhizosphere heterogeneous micro region cannot be distinguished in the prior art. The method comprises the following steps: arranging a spatial coding microprobe array on a rice root system and a soil interface of a rice field, synchronously applying a C13 labeled compound, and continuously obtaining a grid node oxidation-reduction potential and a carbon isotope abundance value; dividing the boundary of a root surface oxidation layer and an anaerobic layer based on day and night oscillation phase difference mutation; detecting peak displacement migration from carbonyl bonds to carbon-carbon bonds in a boundary transition region by adopting an in-situ Raman spectrum, and correcting a space boundary; partitioning and clustering carbon isotope abundance values according to the corrected boundary, and identifying hot spot boundaries of a root tip secretion active region, a microorganism enrichment region and a mineral binding region; calculating the carbon isotope flux gradient in each region and generating a spatial distribution map; in-situ analysis of a rhizosphere carbon migration path is realized, and rice field carbon cycle research precision is improved.

The invention relates to the field of agricultural planting, in particular to a post-ginseng land soil improvement method based on compound bacteria fermentation degradation of allelochemicals. The invention provides a main technological process for improving soil through a fermentation method. The main technological process comprises the steps of land consolidation, ridge forming and pond building, material preparing and feeding and soil-material mixing, zymophyte inoculation and bacterium-material combination, film mulching anaerobic and fermentation monitoring, fermentation completion and post-treatment. The invention also provides a complex microbial inoculant composition capable of achieving the improvement effect, and the complex microbial inoculant composition comprises the following components in parts by weight: 5 parts of straw returning agent, 3 parts of organic fertilizer leavening agent and 1 part of bacillus subtilis agent. According to the method, the improved soil is subjected to long-time anaerobic fermentation in the water stain micro-ecological environment, the organic matter content of the soil can be greatly increased by adding a large number of organic matter materials, the carbon / nitrogen ratio of the soil is increased, the bulk density of the soil is reduced, fertility is comprehensive, sufficient and balanced, and the method is suitable for continuous cropping planting and healthy growth of ginseng.

The invention provides a composition and application thereof in ecological restoration, and the composition is granular and is prepared from glume of corncob, polyvinyl alcohol, sodium bentonite and water. The composition can keep soil moisture and improve the soil structure, the raw materials are biomass materials, water retention is achieved, food sources can be provided for microorganisms and soil animals in soil, microcirculation of moisture and soil organisms is formed around the composition, the soil organisms can further increase nutrients in the soil, and the soil quality is improved. Soil carbon-solid continuous increase of soil organic matters and aggregates is realized, and the method has great significance on ecological restoration.

The invention relates to a carbon sink comprehensive measurement model establishment method based on life cycle and habitat difference, and the method comprises the steps: data collection and arrangement: obtaining carbon sink related data such as vegetation biomass growth rate, carbon absorption rate, soil organic matter content and the like, and carbon emission data in the whole process of a construction period, an operation period, a maintenance period and a decommissioning period; key factors are selected, and the core functions of the total carbon absorption amount, the soil carbon fixing amount and the life cycle carbon emission are analyzed; constructing a model, calculating the total carbon sink amount through a formula # imgabs0 #, introducing climate, soil and vegetation weighting factors, and adjusting the model to adapt to different habitat differences; and verifying and optimizing the model, and verifying the precision of the model in combination with field monitoring data. According to the method and the model provided by the invention, the carbon sink measurement model is comprehensively constructed by introducing the life cycle whole-flow carbon emission and habitat difference factors, so that the problems of neglect of life cycle, insufficient habitat adaptability and the like are effectively solved.

The invention relates to the technical field of spectral analysis, discloses a soil carbon content rapid detection method and device based on spectral analysis, and provides a multi-scale attention fusion convolutional network model. The method comprises the following steps: firstly, carrying out smoothing, scattering correction and normalization preprocessing on collected soil spectral data; then, performing multi-scale feature extraction by using parallel convolution branches with convolution kernels of different sizes so as to comprehensively capture macroscopic and microscopic information in the spectrum; thirdly, a spectral attention module is originally introduced, so that the model can be adaptively focused on key features which have great contribution to SOC prediction, and interference such as moisture is inhibited; and finally, fusing the weighted features through a deep regression network and outputting an analysis result. An efficient technical scheme is provided for rapid and accurate detection of the carbon content of the soil.

The invention discloses modified biochar for preventing and controlling soil nitrogen loss and a preparation method thereof, and the preparation method comprises the following steps: 1) adding a FeSO4 solution into biochar; 2) adding dilute sulphuric acid into the mixed solution obtained in the step 1), and uniformly mixing; (3) oscillating and heating the mixed solution treated in the step (2); 4) centrifuging the mixed solution treated in the step 3), and repeatedly washing the precipitate with deionized water; and (5) putting the centrifuged precipitate obtained in the step (4) into an electrothermal blowing drying box, and drying at 105 DEG C until the weight is constant. According to the invention, after the ferrous modified biochar is applied to soil, the pH value, EC value and CEC value of the soil are increased, the volume weight (VW) of the soil is reduced, and the contents of carbon, nitrogen and phosphorus nutrients in the soil are increased. According to the method disclosed by the invention, the leaching loss of nitrate nitrogen and ammonium nitrogen in the soil is remarkably inhibited by adding the modified biochar. The method has the advantages of easily available raw materials, no pollution, low treatment cost, convenient operation, large-scale application, high economy, and suitableness for popularization and application in the industry.

The invention discloses application of leguminous green manure in preparation of a multifunctional soil conditioner for improving soil enzyme activity, relieving soil microbial metabolism limitation and / or enhancing a soil ecosystem. The leguminous green manure is small crown flowers. By means of the controllable decomposition characteristic and specific secretions, the activity of soil carbon (BG and CBH), nitrogen (NAG and LAP) and phosphorus (AKP) circulation key enzymes can be remarkably enhanced, the activity of the AKP is improved by 406%, the activity of the BG is improved by 158%, the microbial carbon limitation is effectively relieved by 12%, and the resource utilization strategy is optimized. The microcelosia cristata treatment can synchronously improve the soil ecological multi-functional index (EMF) and improve the nutrient circulation synergistic efficiency. Compared with the traditional leguminous green manure, the method has the advantages that the improvement effect of the microcelosia cristata in the degraded orchard is more continuous and ecologically adaptive, and an effective and feasible new soil remediation way is provided for agricultural sustainable development.

The invention discloses a high-precision determination method for determining iron-bound organic carbon delta 13C in soil, and belongs to the technical field of determination of the content of carbon isotope in soil. A liquid extracting solution is dropped into a tin boat and freeze-dried, an extracting solution of the iron-bound organic carbon is converted into a solid form, and the content of the iron-bound organic carbon delta 13C in the soil is determined. The problem that 13C abundance of a liquid sample is difficult to directly measure is solved, the isotope characterization method of the metal mineral binding state organic carbon is provided for the first time, the problems that mass spectrum signals of the liquid sample are unstable and form mixed measurement errors are large are avoided, accurate analysis (RSD is smaller than or equal to 1%) of form-divided delta 13C is achieved, and a key technical support is provided for research of a soil carbon circulation mechanism.

The utility model discloses a carbon dioxide in-situ monitoring system and relates to the technical field of soil monitoring. Comprising a measuring box which is internally provided with a carbon dioxide sensor and is in communication connection with a monitoring unit; the measuring box comprises an upper measuring part and a lower measuring part, the lower measuring part is used for being installed on a soil layer, the middle of the lower measuring part is of a through structure, and an annular protrusion is arranged at the position, corresponding to the contour edge of the through structure, of the bottom of the lower measuring part; the lower measuring part is provided with a supporting column which is vertically and upwards arranged relative to the lower measuring part; the upper measuring part comprises a cover body and a measuring chamber located at the upper end of the cover body, the side edge of the measuring chamber is connected with the supporting column in a sliding sleeve mode and can slide up and down relative to the supporting column, so that the cover body can correspondingly cover the annular sealing structure at the edge of the through structure of the lower measuring part, and an in-situ measuring cavity corresponding to soil is formed. The soil carbon flux measuring device has the measuring capacity of high portability and simplified operation process, and can meet the requirement of soil carbon flux measurement.

The present invention discloses a method for regulating carbon accumulation in degraded karst forest soil by synergistic microbial functions, comprising: measuring and collecting bacterial and fungal diversity sequence data of degraded karst forest soil samples by high-throughput sequencing equipment, storing the original sequencing data including diversity, community structure, functional abundance values, etc. in a computer-readable storage medium, and constructing a structured microbial community database; based on the database, a computer system performs screening of core functional microorganisms that affect carbon storage; based on the screening results, the computer system performs the following processing: calculating the functional abundance index of core microorganisms; determining the microbial function weight by multivariate linear regression; establishing a carbon accumulation regulation coefficient calculation model; preparing a microbial agent and generating a control instruction including the microbial agent application amount and the vegetation coverage optimization plan according to the calculated value of the carbon accumulation regulation coefficient and the soil organic carbon saturation deficit value, and transmitting the control instruction to the field operation equipment.