88 results about "Quadrat" patented technology

The invention relates to the technical field of grass and livestock management, and provides a grass and livestock balance regulation and control method and system based on a light energy utilization model inversion difference value, and the method comprises the steps: obtaining environment detection data, grassland ecological characteristic parameters and historical grazing data of a target grassland; according to the environment detection data, utilizing a pre-constructed light energy utilization model to calculate and obtain inversion biomass distribution of the target grassland; establishing a biomass estimation model according to the historical grazing data and pre-constructed actual measurement quadrat data, and obtaining actual aboveground biomass distribution of the target grassland according to the grassland ecological characteristic parameters and the biomass estimation model; calculating biomass difference distribution data; determining grassland grazing intensity distribution data of the target grassland according to the biomass difference distribution data; and based on the grassland grazing intensity distribution data, dividing the target grassland into a plurality of grazing sub-regions with different bearing capacity grades, and carrying out grass and livestock balance regulation and control. According to the invention, the accuracy of grassland grazing intensity evaluation can be improved, and precise regulation and control of grass and livestock balance can be realized.

The invention provides a mangrove forest degradation type and reason identification method and system based on remote sensing and a multi-factor index system. The method comprises the following steps: firstly, integrating a multi-temporal remote sensing image, ecological monitoring data and ground survey data, and constructing a systematic degradation factor index system covering natural, climate, biological and human factors; secondly, extracting typical degradation characteristics such as vegetation coverage decline and species composition change by using a remote sensing change detection technology and a principal component analysis method; then, through K-means clustering, an ecological classification algorithm based on rules and an ecological threshold standard, mangrove forest degradation types are identified and classified, and the types comprise a man-made interference type, a biological erosion type, a natural succession type and a multi-factor coupling type; then, adopting a supervised machine learning model and combining a feature importance evaluation method such as a Shapley value to identify a degradation cause and a weight thereof; and finally, verifying the precision of the model through an on-site monitoring quadrat and an expert interpretation result, and outputting visual results such as a degradation type distribution diagram, a factor contribution distribution diagram and the like.

The invention relates to the technical field of grassland ecological monitoring, and discloses a grassland biomass estimation method based on multi-modal phenotype fusion and moisture content correction. The method comprises the following steps: setting a 0.5 m * 0.5 m quadrat in a grassland research area, synchronously acquiring a multi-spectral image of an unmanned aerial vehicle, multi-view structural data of a ZED 2i depth camera and ground actual measurement data, extracting structural features such as a multi-view vegetation projection volume index and 10 vegetation indexes after preprocessing, and constructing an XGBoost moisture content inversion model; and constructing a biomass initial model by using a pure structure, a pure spectrum and fusion characteristics, introducing a moisture content correction formula to correct deviation, and screening an optimal model through Monte Carlo cross validation. According to the method, multi-source data are effectively fused, moisture interference is stripped, the grassland biomass estimation precision is improved, and reliable technical support is provided for grassland ecological monitoring, carbon cycle evaluation and resource management.

The invention relates to the technical field of grassland species assessment, and discloses a grassland species diversity assessment method and device based on a vegetation radiation transfer model, and the method comprises the steps: constructing a grassland quadrat three-dimensional model with different species compositions and different canopy structure complexities; simulating a grassland plant leaf reflectivity spectrum curve and a soil background reflectivity spectrum curve; simulating a grassland canopy hyperspectral image according to the grassland plant leaf reflectivity spectrum curve and the soil background reflectivity spectrum curve; calculating a canopy spectral diversity index and a canopy structural shape of the grassland quadrat three-dimensional model; and constructing a grassland species diversity evaluation model to evaluate the grassland species diversity by using the single or combined canopy spectral diversity index and canopy structural shape. According to the method, parameters such as possible influence factors for evaluating the diversity of grassland species based on canopy spectral measurement in field experiments can be effectively controlled, interference factors are eliminated for grassland species evaluation, and the effects of variable control and accurate evaluation are achieved.

The application discloses a regional scale landscape ecological risk index data production method based on ArcPy, and comprises the following steps: step 1, converting a grid network into vector data; step 2, calculating sample data, wherein the sample data is used for counting the frequency of a certain landscape type in a sample data in a patch; step 3, defining a landscape ecological risk index core function; and step 4, calculating a landscape ecological risk index. The application provides a regional scale landscape ecological risk index data production method based on ArcPy, greatly improves the efficiency of automatically calculating a landscape ecological risk index at a regional scale or even a continental scale, and effectively solves the problems of excessive program memory consumption, a complex manual calculation process and a large amount of data processing workload in the prior art when processing regional scale or continental scale data.

The invention belongs to the technical field of forestry engineering, and provides a castanopsis hystrix improved variety and eucalyptus mixed forest litter resource regulation and control method, which comprises the following steps: setting a quadrat region based on a castanopsis hystrix and eucalyptus mixed forest, and dividing an ecological conflict region; calculating a litter load threshold value of the ecological conflict area and dividing a high-load area; regulating and controlling litters in the high-load area, and performing demand analysis based on the regulated and controlled high-load area to obtain a decomposition demand coefficient; judging whether the high-load area is a strong decomposition area or not, performing secondary regulation and control on the strong decomposition area, obtaining a periodic decomposition rate and judging whether the periodic decomposition rate accords with expectation or not; if so, acquiring related growth data of the castanopsis hystrix in the regulation and control region twice, and performing growth analysis on the castanopsis hystrix to obtain an average growth index; evaluating the growth state of the castanopsis hystrix based on the average growth index; the method is beneficial for improving the pertinence and effectiveness of ecological management of the mixed forest.

The application discloses a kind of coral reef area benthic biomass evaluation method, belong to marine ecological monitoring and evaluation technical field.The present application includes reef sample collection, reef coverage determination, reef effective attachment area measurement, benthic separation and collection, biological sample moisture treatment and weight weighing and six steps of biomass evaluation calculation.The present application is complete reef sample by stratified random sampling, and reef coverage is obtained using sample belt image interpretation, and effective attachment area is determined by measuring the length, width and height parameters of reef or three-dimensional laser point cloud, and the wet weight of species is weighed after separation, classification and standardization dehydration, and the benthic species biomass per unit area is calculated by combining reef coverage, species wet weight and effective attachment area, and the total benthic biomass per unit area and benthic species density can be further calculated.The present application is mainly used for benthic biomass evaluation in different habitat types of coral reef area, and can improve the accuracy and repeatability of evaluation results.

The utility model discloses a combined outdoor quadrat frame, which relates to the technical field of quadrat frames and comprises a scale belt, a first fixing component is wound on the inner side surface of the scale belt, one end of the first fixing component is connected with a second fixing component, and one end of the second fixing component far away from the first fixing component is connected with a third fixing component. A rectangular quadrat frame of 1 m * 1 m can be formed by taking the four fixing assemblies and the 4M annular closed scale belt, and if a rectangular quadrat frame of 50 cm * 50 cm needs to be formed, a rectangular quadrat frame of 50 cm * 50 cm can be formed by taking the four fixing assemblies and the 2M annular closed scale belt, so that the sampling range of the rectangular quadrat frame can be adjusted through the arrangement positions of the multiple fixing assemblies, and the sampling accuracy is improved. The portable advantage is brought into play, and meanwhile the investigation and sampling efficiency can be improved.

The present invention provides a method for screening ecologically stable vegetation in a mining area and its application. The method provided by the present invention comprises the following steps: determining a survey scope, laying out sample plots within the determined survey scope; conducting a vegetation survey on the laid out sample plots to obtain vegetation characteristics within the survey scope; collecting vegetation roots and sample soil from the laid out sample plots; tracing the collected plant roots to determine the vegetation root morphology; sequencing the collected sample soil to determine the soil microbial characteristics of the sample soil; and culturing the collected sample soil in the laboratory to determine the soil seed bank; and screening vegetation based on the obtained vegetation characteristics, vegetation root morphology, soil microbial characteristics, and soil seed bank. The screening method of the present invention not only surveys the vegetation in the area, but also combines indoor experiments with field surveys, incorporating plant root development and plant root microorganisms into the method for screening ecologically stable vegetation.

The foldable portable herbal quadrat frame comprises a first connecting rod, a second connecting rod, a third connecting rod and a fourth connecting rod, a first limiting groove is formed in one side of the first connecting rod, a second limiting groove is formed in one side of the second connecting rod, a first limiting assembly is arranged on one side of the fourth connecting rod, and a second limiting assembly is arranged on one side of the third connecting rod. A second limiting assembly is arranged on one side of the third connecting rod, and the two ends of the first connecting rod are rotationally connected with the second connecting rod and the fourth connecting rod through first connecting pieces correspondingly. The ends, away from the first connecting rod, of the second connecting rod and the fourth connecting rod are rotationally connected with the two ends of the third connecting rod through second connecting pieces correspondingly. Compared with the prior art, the foldable portable herbaceous quadrat frame is simple and easy to operate, has the advantages of being convenient to carry and store, and is higher in speed and efficiency when being used for investigating a large number of herbaceous quadrat.

The invention discloses a plant quadrat investigation method based on deep learning, and the method comprises the steps: manually selecting a sampling scheme, carrying out the network connection of a sampling image transmission device and a carrier, and transmitting the sampling scheme; receiving picture data from the sampling picture transmission equipment and the carrier to obtain a sampling data set; analyzing the sampling data set to obtain a rough recognition result set; according to the sampling scheme, carrying out weight addition calculation on the rough recognition result set to obtain a high-precision recognition block, and analyzing the high-precision recognition block to obtain a final quadrat survey result; a species competition database is called according to the final quadrat investigation result, a simulation environment is constructed, and the final quadrat investigation result is introduced and a risk report is obtained; and generating an optional sampling scheme according to the final quadrat survey result and the risk report, and merging the optional sampling scheme into the sampling scheme.

This invention addresses the common problems in existing technologies for determining the succession stage of vegetation communities in ecological restoration areas, such as high misjudgment rates using single indicators, lack of scientific basis for threshold classification methods, and insufficient comprehensiveness and accuracy of determination results. It proposes and discloses a more comprehensive and accurate method for determining the succession stage of vegetation communities in ecological restoration areas. This method first systematically obtains multi-dimensional indicator data, including plant community structural characteristics, soil functional attributes, and ecosystem functional performance, through quadrat surveys. Then, it constructs a three-level indicator system comprising a target layer, a criterion layer, and an indicator layer. The relative weights of each determination indicator are scientifically determined using the analytic hierarchy process (AHP), and a comprehensive succession index is finally calculated. Based on pre-established criteria for determining the succession stage of vegetation communities, the specific succession stage of the plant community can be accurately and objectively determined.

This invention relates to a LiDAR-based non-destructive method for estimating stand biomass in complex forests, comprising: dividing the sample plot area to be tested into several small quadrats; locating the CGCS2000 geographic coordinates of the center point of each tree within each quadrat; calculating the maximum crown length of each tree; uniformly arranging several sampling points within each quadrat, scanning the trees within the quadrat at different angles using LiDAR, obtaining the relative coordinates (TLS) of the trees at each sampling point within each quadrat, and stitching them together; converting to the CGCS2000 coordinate system to obtain the complete tree point cloud of the sample plot; obtaining the point clouds of trees of different species within the sample plot using TLS and CORS-RTK; and estimating the stand volume and biomass of any single tree and all trees within the sample plot.

The invention discloses a plant community configuration method and system based on carbon sequestration and aesthetics coupling and a medium, and belongs to the technical field of ecological civilization construction.The method comprises the steps that carbon sequestration benefit evaluation indexes are comprehensively evaluated, a first comprehensive score is obtained, and the first comprehensive score is used for reflecting the overall score of a quadrat in the aspect of carbon sequestration benefits; comprehensively evaluating the aesthetic benefit evaluation indexes to obtain a second comprehensive score which is used for reflecting the overall score of the quadrat in the aspect of aesthetic benefit; calculating the benign coupling degree of carbon sequestration and aesthetics based on the first comprehensive score and the second comprehensive score; and selecting a target quadrat based on the benign coupling degree, and carrying out plant community configuration based on the target quadrat. According to the method, carbon sequestration and aesthetic benefits are comprehensively evaluated, the benign coupling degree of the carbon sequestration and aesthetic benefits is calculated, plant community configuration is optimized according to the benign coupling degree, collaborative improvement of the ecological function and the landscape value is achieved, and scientific support is provided for urban landscaping.

The utility model belongs to the field of ecological environment, and particularly relates to a device for vertically determining a quadrat center point in a riverside and lakeside zone, which comprises a support frame, a support rod and a laser transmitter, a fixing structure is arranged on the laser transmitter, the laser transmitter is connected on the support rod through the fixing structure, and the support rod is connected with the support frame; the supporting rods are provided with a plurality of sections, and the adjacent supporting rods are movably connected. The laser transmitter is arranged on the supporting rod, so that the problem that the error of the quadrat center point is large due to the fact that the vertical investigation quadrat center point needs to be determined through manual horizontal wire pulling in existing river and lakeside shoreline monitoring work is solved; by arranging the fixing structure on the laser transmitter, the purpose of flexibly adjusting the height of the laser transmitter can be achieved; and by arranging a plurality of sections of supporting rods which can be connected and arranging an adjuster on the supporting frame, the device is convenient to store and carry.

The invention relates to the technical field of ecological monitoring and digital agriculture, in particular to a grassland ecological restoration digital evaluation system and method. The method comprises the following steps: collecting a remote sensing vegetation index sequence and ground quadrat biomass data, and aligning the remote sensing vegetation index sequence and the ground quadrat biomass data according to a unified time index to obtain a synchronous observation sequence; constructing an adaptive calibration relationship between the vegetation index and the ground quadrat biomass based on the synchronous observation sequence; therefore, by constructing a full-link digital process from multi-source data fusion, adaptive calibration, multi-scale dynamic feature extraction to quantitative score generation, the problems that traditional grassland ecological restoration assessment depends on manual interpretation, the static model deviation is large, and the process is non-traceable are solved; the objectivity, the accuracy, the timeliness and the decision support capability of the evaluation result are improved.

The present application relates to grassland species evaluation technical field, disclose a kind of grassland species diversity evaluation method and device based on vegetation radiation transmission model, the method comprises: construct the three-dimensional model of grassland quadrat with different species composition and different crown layer structure complexity;Simulate grassland plant leaf reflectivity spectrum curve and the reflectivity spectrum curve of soil background;According to grassland plant leaf reflectivity spectrum curve and the reflectivity spectrum curve of soil background, simulate grassland crown layer hyperspectral image;Calculate the crown layer spectral diversity index and crown layer structure character of grassland quadrat three-dimensional model;Using single or combined crown layer spectral diversity index and crown layer structure character constructs grassland species diversity evaluation model and evaluates grassland species diversity.The present application can effectively control the possible influence factor such as parameter based on crown layer spectral measurement evaluation grassland species diversity in field experiment, eliminate interference factor for grassland species evaluation, reach variable control, accurate evaluation effect.

The invention relates to the technical field of soil wind erosion quadrat collection, in particular to a soil wind erosion quadrat collection device and a collection method.The soil wind erosion quadrat collection device comprises a material distribution box, a sample distribution mechanism is installed in the material distribution box, the sample distribution mechanism comprises a material taking window, and the material taking window is formed in the side portion of the material distribution box; a first motor is fixedly installed on the side portion of the material distribution box, the first rotating shaft is rotatably installed in the material distribution box and fixedly connected with the output end of the first motor, a first gear is fixedly installed on the surface of the first rotating shaft, and the second rotating shaft is rotatably installed in the material distribution box. Through the arrangement of the sample separation mechanism, it can be guaranteed that the weight and uniformity of obtained samples are roughly the same, a second motor drives a third rotating shaft to drive a discharging plate and a sample separation plate to rotate synchronously, multiple sets of discharging pipes are in accurate butt joint with a sample separation barrel, and loss caused by soil scattering is avoided.

The invention discloses a mangrove forest ecological restoration multi-dimensional effect comprehensive evaluation method and system. The method comprises the following steps: acquiring first remote sensing image data, first environment monitoring data, a first biological investigation quadrat image and first ecological background data corresponding to a restored mangrove forest carrying a first geographic coordinate and a first time label; inputting the processed first remote sensing image data into a nested U-shaped model to obtain a first pixel-level semantic segmentation map, and inputting the processed first biological investigation quadrat image into a comparison enhanced YOLOv8 model to obtain a first detection feature vector; obtaining a first ecological network embedding vector through the processed first environment monitoring data, the processed first ecological background data and a GraphSAGE model; obtaining a first ecological parameter index through the first pixel-level semantic segmentation map, the first detection feature vector, the first ecological network embedding vector and a multi-modal Transform model; and after the first ecological parameter indexes are converted into scores and preset thresholds, the restoration effect of the restored mangrove forest is obtained.

The utility model relates to a grassland quadrat frame for unmanned system monitoring, which comprises a square frame formed by connecting four side rods, each side rod is provided with a center hole, the side surface of each center hole is provided with a through hole A and a through hole B, the through hole A and the center hole are arranged on the same horizontal line, the through hole B and the center hole are arranged on the same vertical line, and the through hole A and the through hole B are arranged on the same vertical line. The center hole is connected with one end of a ruler through a pin shaft, and scales are arranged on the side rod and the ruler. When the height of the grassland vegetation needs to be measured, the scaleplate rotates around the center hole by rotating the scaleplate until the arc-shaped groove B is completely clamped with the clamping pin B, at the moment, the scaleplate is perpendicular to the square frame, and the height of the grassland vegetation is immediately measured through the scales on the scaleplate.

The invention discloses a method for measuring carbon reserve of celery more accurately and simply, and belongs to the technical field of agricultural ecological carbon sink measurement. The method comprises the following steps: firstly, collecting a celery sample in a quadrat, measuring plant height, stem diameter and relative chlorophyll content (SPAD value), then obtaining the fresh weight of an overground part through destructive sampling, and constructing a three-parameter fresh weight prediction model containing H, Dand SPAD by utilizing multiple regression; secondly, performing non-destructive field measurement in a to-be-measured area to obtain plant heights, stem diameters and SPAD values of a large number of samples, and substituting the plant heights, the stem diameters and the SPAD values into the model to calculate the predicted fresh weight of a single plant; and finally, combining the planting density and the carbon content conversion coefficient to calculate the carbon reserve of the celery in unit area. According to the method, the defects that a traditional drying method is high in destructiveness and long in period are overcome, the model prediction precision is remarkably improved by introducing SPAD physiological indexes, rapid, in-situ and low-cost measurement of the celery carbon reserves is achieved, the relative error can be controlled within 5%, and the method is suitable for accurate accounting of farmland carbon sequestration.

The application provides a method and device for evaluating aboveground biomass of Spartina alterniflora based on coverage and height. The method provided by the application comprises the following steps: setting a first quadrat in a Spartina alterniflora growth area, collecting all plants in the first quadrat, measuring the height and dry weight of each plant, establishing a first allometric growth relationship model between the height and dry weight of each plant based on the height and dry weight of each plant, setting a second quadrat in the Spartina alterniflora growth area, recording the quadrat coverage, average height and plant number in the second quadrat, calculating the total dry weight of the quadrat and converting the total dry weight into aboveground biomass, establishing a second allometric growth relationship model between the coverage, height and aboveground biomass based on the quadrat coverage, average height and aboveground biomass, matching a corresponding target allometric growth relationship model based on the scale and data conditions of a region to be evaluated, inputting corresponding data of the region to be evaluated into the target allometric growth relationship model, and calculating the aboveground biomass of the region to be evaluated.

The invention discloses a method for improving production performance of grazing Tan sheep by utilizing ground-source feed, and relates to the technical field of improvement of productivity of the grazing Tan sheep and reasonable utilization of natural grassland, and the method comprises the following steps: selecting grassland with community vegetation coverage of more than or equal to 60%, plant overground net primary productivity of more than or equal to 100g / m < 2 >, and taking stipa brachycarpa or desertleweed as dominant species as grazing grassland; setting a continuous grazing group, a continuous grazing and supplementary feeding corn granule group and a continuous grazing and supplementary feeding caragana microphylla granule group, and respectively measuring body weight gain dynamic data, grazing behavior data and body size index data of the Tan sheep in each treatment group; and respectively monitoring the grassland plant overground net primary productivity and species richness of each treatment group by adopting a quadrat determination method, and determining whether the plant overground net primary productivity of each treatment group is lower than a desert grassland degradation warning threshold value or not. Ground-source feed utilization, grazing parameter optimization and grass and livestock cooperative monitoring are combined, and grassland ecological safety can be ensured while the production performance of the grazing Tan sheep can be improved.

The present application belongs to the technical field of pasture quality evaluation, and particularly relates to a method for evaluating pasture quality condition based on a multi-element comprehensive index, which comprises selecting a plurality of sample plots on a grassland, applying the same mineral element with different concentrations to plant communities of different sample plots; determining the yield of different plants in the plant community of each sample plot at the highest biomass period of the grassland; measuring the content of each mineral element of different plants in each sample plot, and calculating the weighted average content of each mineral element at the community level according to the content of each mineral element of different plants in the sample plot; determining the standardized nutrient concentration of each sample plot; determining the expected nutrient stability of each sample plot; evaluating the pasture quality condition according to the changes of the standardized nutrient concentration and the expected nutrient stability caused by the same mineral element with different concentrations applied to different sample plots, and determining how to apply the mineral element to the pasture in the subsequent process according to the pasture quality condition, which has guiding significance for improving the quality of the pasture.

The invention discloses a community level grassland plant competition intensity calculation method, and belongs to the technical field of botany. According to the method, the problem that the existing method is lack of calculating the competitive strength of the plants on the community level is solved, the relative coverage and the relative height of the species in each investigation quadrat are calculated by acquiring the coverage and height data of each plant species in the grassland plant community in the target area, and then the potential growth coverage and the potential growth height are calculated, so that the competitive strength of the plants is calculated. And finally obtaining the plant competitive strength. Therefore, the limitation that a traditional method only pays attention to the competition relation of a single species or a few species is broken through, and the actual influence of competition on species growth can be accurately reflected; by introducing the historical data and the preset threshold value, the community can be more accurately divided into the high-competition area and the low-competition area, and the competition driving factors of different areas are identified, so that a more targeted strategy is provided for grassland management, and the stability and biodiversity of a grassland ecosystem can be effectively improved.

The invention provides a natural ecosystem investigation method. The natural ecosystem investigation method comprises the following steps: S1, acquiring a high-resolution remote sensing image and DEM data, and dividing ecosystem types; s2, typical ecological problems of the ecological system are determined, sample plot design and sample plot dynamic arrangement are carried out, investigation points are arranged in a sample plot, and sampling analysis is carried out; and S3, performing data analysis according to the plaque partition map, the sample plot location map and the remote sensing image map. According to the dynamic survey method combining quadrat / transect and sampling point actual ground survey, the mutual verification of ground, remote sensing and model data is realized by combining a satellite remote sensing and model simulation technology with multiple data sources, typical / important ecological problem partitions in a watershed ecosystem range are found out and verified, and a watershed ecological system is established. Support is provided for design and implementation of the ecological engineering project, and a data index basis is provided for acceptance of the ecological engineering project.

The invention provides an analysis and evaluation method suitable for a coral reef area landscape pattern, and belongs to the technical field of coral reef areas, and the method comprises the following steps: (1) laying a short-term monitoring quadrat or a long-term monitoring quadrat according to actual needs, and determining the length of the quadrat according to underwater transparency; (2) shooting a high-definition picture of a substrate landscape in the quadrat along the length direction of the quadrat; (3) correcting and splicing the pictures through gis or CAD software, and interpreting the species of the coral reef according to the spliced quadrat pictures; and (4) calculating a landscape pattern index to judge the condition of the coral reef habitat landscape pattern. The two kinds of quadrats can make up for the problem that a transect method cannot record landscape plaques in detail, the problems that original large quadrats are fuzzy in shooting and inconvenient to move can be solved, small quadrats divided in the two quadrats are shot one by one, the types of substrates such as coral reef plaques can be clearly reflected, seamless splicing between the small quadrats is facilitated, and the method is suitable for large-scale popularization and application. Errors are reduced, and large-area landscape pattern research can be carried out.

The invention discloses a vegetation-soil-microorganism synergistic remediation treatment method for a stony desertification slope, and relates to the technical field of soil remediation, and the method comprises the following steps: S1, precise evaluation of site conditions: uniformly arranging 10m * 10m quadrats on a target slope by adopting a GPS positioning and field sampling combined method, and measuring the slope, rock exposure rate, soil thickness and soil organic matter content (SOM); s2, vegetation three-dimensional configuration and field planting: selecting local stress-tolerant species, and constructing a three-dimensional community according to a plant / cluster number ratio of (2-4): (2-4): (3-5); according to the method, vegetation-soil-microorganisms are regarded as an organic whole, a synergistic mutual promotion mechanism of the vegetation, the soil and the microorganisms is systematically constructed, the vegetation fixes a carbon source through photosynthesis, root exudates nourish the microorganisms, the soil provides a physical carrier and a basic environment for the vegetation and the microorganisms, and the microorganisms supply energy to the vegetation through nutrient conversion; and a forward circulation of vegetation soil fixation, soil bacterium cultivation and microbe vegetation promotion is formed.

The invention discloses a soil respiration monitoring method based on field gradient warming, which belongs to the technical field of soil respiration monitoring, and comprises the following steps: (1) selecting an old forest in a subtropical evergreen broad-leaved forest to construct an experimental sample plot, and setting 20 triangular quadrat in total; (2) carrying out gradient temperature increasing on the quadrats by adopting a triangular frame heating method, setting five gradient temperature increasing treatments, setting four quadrats for each treatment, and collecting the soil temperature and volumetric water content of the experimental sample plot; and (3) arranging a breathing ring seat which is not embedded into the soil and a breathing ring seat which is embedded into the soil by 50 cm in each quadrat, placing the static box on the breathing ring seats, extracting and storing gas in the static box, detecting the collected gas by using an FID (Flame Ionization Detector) of a gas chromatograph, obtaining the CO2 concentration, and then calculating soil respiration and component data thereof. According to the method, the soil respiration and the component data thereof under gradient temperature increase can be obtained, and technical support is provided for revealing the response rule and mechanism of the soil respiration to the gradient temperature increase in the subtropical forest.

The utility model relates to the technical field of grassland ecology monitoring quadrat tools, and discloses a portable grassland ecology monitoring quadrat tool which comprises a main connecting rod, the inner wall of the main connecting rod is connected with a pull rod in a sliding mode, the bottom end of the pull rod is connected with an auxiliary connecting rod through a buckle assembly, and the auxiliary connecting rod is used for limiting the auxiliary connecting rod after rotation is finished. The inner walls of the auxiliary connecting rods are connected with the main connecting rods through caliper assemblies so that the main connecting rods can be disassembled and assembled, fixing assemblies are arranged on the inner walls of the auxiliary connecting rods so that the tool can be fixed to the current position, and the outer walls of the auxiliary connecting rods are rotationally connected to the inner walls of the main connecting rods. According to the utility model, through the design that the auxiliary connecting rod is shrunk into the main connecting rod in a rotatable manner, the size of the tool is reduced, so that the tool is convenient to carry, meanwhile, the operation is simple during installation, and the installation of the tools is facilitated, so that the working efficiency is improved, and the accuracy of monitoring data is improved.