138 results about "Quadrat" patented technology

The invention relates to the technical field of wetland ecosystem soil carbon sequestration capability, in particular to a seasonal waterlogged wetland soil carbon estimation and dynamic monitoring method, which comprises the following steps of: selecting a sampling zone and a quadrat according to an equal-elevation water level gradient and a vegetation type; an optimal remote sensing estimation carbon model is determined through remote sensing image interpretation and screening of characteristic factors such as image waveband reflectivity, vegetation indexes, principal component characteristics and single-waveband textures, and soil organic carbon spatial distribution characteristics are analyzed through remote sensing inversion and GIS interpolation; constructing a Wetland-DNDC wetland carbon dynamic simulation model based on a DNDC model to predict wetland long-term carbon dynamic change and greenhouse gas emission; the invention provides a method for simulating carbon reserves and carbon dynamic monitoring based on field investigation and coupling a 3S technology with a Wetland-DNDC model. Compared with a traditional field observation method, the method has obvious technical and cost advantages, and can realize the technical advantages of spatial analysis and long-time sequence monitoring. The research method is suitable for a wetland ecosystem with seasonal hydrological characteristic changes.

The invention relates to the technical field of biomass monitoring, and provides a forest above-ground biomass estimation method and device based on stereo density, and the method comprises the steps: obtaining various canopy height information and quadrat AGB stereo density from ground survey data, and obtaining forest features from airborne laser radar data; carrying out regression analysis on at least one of the various canopy height information and the quadrat AGB stereo density and the forest features to obtain the AGB stereo density of the flight area; stepwise linear regression analysis based on the regional scale is carried out on the AGB stereo density and the target parameters of the flight area to obtain an AGB stereo density estimation result, and a regional scale AGB estimation result is determined according to the AGB stereo density estimation result, the various canopy height information and the corresponding pixel areas. According to the method, planar AGB density calculation is converted into three-dimensional AGB density estimation, and the accuracy of the forest above-ground biomass estimation result in a complex scene is improved.

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 carbon reserve estimation, and discloses a mangrove forest biomass carbon reserve estimation method based on a different-speed growth inversion model, and the method comprises the following steps: 1, setting a quadrat region; 2, collecting aerial images, kandelia candel morphological data, kandelia candel destructive data and soil profile organic carbon density data; step 3, establishing an allotropical growth inversion model; processing the kandelia candel destructive sampling parameters to obtain a kandelia candel carbon conversion coefficient; performing image processing and visual interpretation on the aerial image of the research area to obtain the crown breadth coverage total area and the mud flat coverage area of the kandelia candel in the research area; 4, the overall kandelia candel carbon reserve is obtained by combining the kandelia candel morphological data, the total crown breadth coverage area of the kandelia candel, the different-speed growth inversion model and the kandelia candel carbon conversion coefficient; and combining the organic carbon density data of the soil profile and the mud flat coverage area to obtain the overall soil carbon reserve. Meanwhile, the invention further provides a mangrove forest biomass carbon reserve estimation system based on the different-speed growth inversion model.

A method for monitoring the grassland vegetation coverage based on continuous photography, comprising: determining an observation quadrat and continuously taking multiple vegetation photos of the vegetation within the observation quadrat throughout the entire growing season; cropping and geometrically correcting the multiple vegetation photos; obtaining the vegetation pixel ratio corresponding to the vegetation photos and comparing the vegetation pixel ratio with a preset second threshold; when the vegetation pixel ratio is greater than the second threshold, calculating the vegetation coverage corresponding to the vegetation photos by using the Otsu algorithm; otherwise, using the vegetation pixel ratio as the vegetation coverage; obtaining a dynamic change curve of the vegetation coverage based on the vegetation coverage corresponding to each vegetation photo. The present invention effectively improves the monitoring accuracy and efficiency of the dynamic change characteristics of the grassland vegetation coverage by combining continuous photography and the Otsu algorithm.

The invention discloses a forest biomass and carbon library metering technology based on sample plot survey information, the technical scheme comprises a data acquisition system, a data processing and conversion module and a data website module, the data acquisition system is a basic part, and the data processing and conversion module is a core part. And the data website module provides data products and visual display for the user. Each tree is managed through a two-dimensional code, automatic quality control is performed based on historical survey data, forest vegetation biomass and carbon reserve situations of a quadrat and a sample plot are calculated by associating information of each tree of the quadrat and the sample plot, and a forest vegetation carbon sequestration rate and a carbon sequestration function are obtained by comparing previous survey data. According to the system, the investigation efficiency can be greatly improved, the forest vegetation carbon source function can be evaluated in real time, historical data can be used for automatic quality control of each re-investigation, investigation data can be uploaded in real time, and the working efficiency can be improved by more than 20 times through the application of the system.

The invention belongs to the technical field of ecological environment monitoring and management, and particularly relates to an ecological slope carbon sink metering method. Dividing the ecological slope into a plurality of independent areas according to topographic features, and dividing the independent areas into different gradient grades according to gradients; in each subarea, further classifying the subareas into different vegetation type areas according to vegetation types, namely classification areas; selecting a representative quadrat in each classification area, wherein the size of the quadrat is adjusted according to different vegetation types; calculating the carbon sequestration amount of vegetation in each quadrat; correcting a metering result according to different gradients and vegetation types; and summarizing the carbon sequestration amounts of all the quadrats. According to the ecological slope carbon sink metering method provided by the invention, the topographic features and vegetation types of the ecological slope are comprehensively considered, the method is suitable for a carbon sink metering scheme under complex environmental conditions, and the accuracy, reliability and operability of carbon sink metering under an ecological slope environment are improved.

The invention discloses a method and a system for estimating plant diversity based on a remote sensing scale effect, which belong to the field of plant diversity monitoring, and are characterized in that a high-resolution remote sensing image of a to-be-monitored area is acquired, and the pixel size is approximately equal to the size of a single plant; extracting a plurality of investigation quadrats in the monitoring area, and obtaining plant diversity true values of the quadrats; preprocessing the remote sensing image to obtain surface reflectance data, and upscaling the high-resolution image by adopting a pixel averaging method to obtain a low-resolution remote sensing image; calculating a nonlinear vegetation index based on the remote sensing images, and calculating a scale deviation of the vegetation index between the remote sensing images with two resolutions; and constructing a mathematical relationship model between the scale deviation and the plant diversity truth value, and applying the mathematical relationship model to the whole remote sensing image so as to estimate the plant diversity of the whole area. According to the method, the plant diversity in a large range can be quickly and accurately estimated, heavy ground survey work is reduced, and manpower, time and economic cost are saved.

The invention relates to equipment for automatically identifying and measuring a plant quadrat. A main body of the equipment is composed of a machine shell, an interactive display, weighing equipment, a supporting frame, a laser projector, a camera and other modules. Wherein the camera is used for capturing an image of a plant quadrat and realizing identification of plant species through an image processing and identification algorithm; the laser projector is used for projecting a clear boundary on a plant quadrat to ensure the accuracy of a monitoring area; the weighing equipment is used for collecting weight data of the plant sample; the support frame is used for supporting and adjusting the height and angle of the equipment; the interactive display provides a touch screen operation interface, and allows a user to select dominant plants, input parameters and check monitoring results. Through the equipment, a user can easily realize non-destructive monitoring on a plant quadrat, and damage to a grassland ecosystem caused by cutting operation in a traditional method is avoided.

The invention discloses a songarus apetalus aboveground biomass inversion method using multi-source remote sensing data. The method is realized through the multi-source remote sensing data. The method comprises the following steps: firstly, performing quadrat survey to obtain biomass measured data, and scanning by using an unmanned aerial vehicle laser radar to obtain tree height data; and then, combining a quadrat survey result, biomass measured data and tree height data to construct a tree height-biomass inversion model, and estimating biomass distribution of songarus apetalus in a laser radar scanning area. Then, collecting sentinel No.2 and Landsat series images, extracting spectral features and tree age data, performing regression analysis, and constructing a songarus apetalus biomass inversion model based on satellite remote sensing data; and finally, estimating the biomass of the songarus apetalus in a satellite remote sensing image range by utilizing the model and satellite remote sensing data. According to the method, high-efficiency and high-precision overground biomass inversion of the songarus apetala is realized.

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 discloses a multi-modal data fusion crop yield prediction method and device and a medium, and relates to the field of crop yield assessment, and the method comprises the steps: collecting an original image of a target farmland; preprocessing the original image of the target farmland to obtain preprocessed images of a plurality of quadrat areas; based on the preprocessed image of each quadrat region, extracting crop parameters of each quadrat region; determining feature information of each quadrat region based on the preprocessed image and crop parameters of each quadrat region; respectively inputting the feature information of each quadrat region into a multi-modal data fusion prediction model to obtain a crop yield prediction value of each quadrat region; and summing the crop yield predicted values of all the quadrat areas to obtain a crop yield predicted value of the target farmland. According to the invention, manual intervention is reduced, and the crop yield prediction efficiency and accuracy are improved.

The present invention discloses a quantitative control method for submerged plants in urban rivers and lakes based on plant growth and decline-nitrogen and phosphorus absorption and release simulation. First, the minimum monitoring grids are selected by combining remote sensing interpretation and spatial simulated annealing algorithm; then, a sample plot survey is carried out in the selected monitoring grids, and the biomass and growth rate per unit area of ​​submerged plants are obtained by using the efficacy analysis method with the minimum sampling frequency; then, the dominant species are selected and brought back to the laboratory to monitor the parameters required for the submerged plant model, and a submerged plant growth and decline-nitrogen and phosphorus absorption and release model is constructed to simulate the dynamic change process of biomass and net nitrogen and phosphorus content in plants; then, the submerged plant model is coupled to the river and lake hydrodynamic-water quality model to simulate the dynamic change process of nitrogen and phosphorus concentration in urban rivers and lakes where submerged plants grow. Finally, different submerged plant harvesting scenarios are set, the accessibility of nitrogen and phosphorus water quality targets in urban rivers and lakes is analyzed, and the optimal harvesting plan for submerged plants is determined. The present invention can realize quantitative, efficient and precise control of submerged plants in urban rivers and lakes.

The invention belongs to the technical field of ecological restoration, and particularly relates to a method for comprehensively quantifying a shrub-herb-biological crust three-dimensional structure, which comprises the following steps of: collecting sample data, selecting a plurality of shrub, herb and biological crust coexisting sample plots, arranging a plurality of quadrats, respectively obtaining horizontal and vertical indexes of vegetation communities in the quadrats, and calculating the three-dimensional structure of the shrub-herb-biological crust. Representative description indexes of horizontal indexes and vertical indexes of different levels of vegetation are screened out and preprocessed; constructing a model, and determining the weight of each vegetation level and the path weight of the representative description index; and calculating a shrub-herb-biological crust three-dimensional structure index, performing deviation normalization processing on the standard representative description index, and calculating the shrub-herb-biological crust three-dimensional structure index in combination with the path weight of the standard representative description index. According to the method, the three-dimensional structure characteristics of the shrub-herb-biological crust multi-layer vegetation community can be comprehensively and quantitatively represented, and the morphological characteristics of the vegetation community of a forest stand space structure can be better represented.

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 invention relates to the technical field of vegetation quadrat investigation, in particular to a plateau abandoned mine vegetation quadrat investigation rapid arrangement device which comprises four vertical rods and four transverse rods. The four transverse rods form a frame capable of projecting a rectangle to the ground, and every two adjacent transverse rods are connected through a vertical rod. Two lifting grooves are formed in the outer wall of each vertical rod in the length direction of the corresponding vertical rod, the two lifting grooves in each vertical rod are arranged at intervals in the circumferential direction of the corresponding vertical rod, a lifting block is slidably arranged in each lifting groove in the length direction of the corresponding lifting groove, and the two ends of each transverse rod are detachably connected with the corresponding lifting blocks; and each cross rod comprises a plurality of butt joint rods which are in butt joint in sequence. The method can adapt to the vegetation quadrat survey of the complicated geological environment of the plateau abandoned mine.

A method for investigating isolated tree renewal is provided. In the field of forest tree renewal investigation, a single isolated tree is used as the center to draw rays, with a total of 8 rays, namely, 8 directions of east ray, southeast ray, south ray, southwest ray, west ray, northwest ray, north ray and northeast ray; concentric circles are drawn with the tree trunk as the center, and the concentric circles are drawn from the inside to the outside in sequence, and the intersection of the concentric circles and the rays is the center point of the understory plot; two parallel lines are drawn on both sides of each ray, and the intersection of the parallel lines and the concentric circles is the center point of the outstory plot. The intersection of the rays and the parallel lines with the concentric circles is three repetitions of the investigation plot. The present invention does not have a unified method for investigating isolated tree renewal, and designs a group of methods when investigating isolated tree renewal. Through the method of the present application, the data investigated can truly reflect the number of isolated tree renewal seedlings, growth conditions and movement direction of tree seeds.

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 present invention belongs to the technical field of the restoration of coal mine restoration areas. In order to understand the effects of heavy metals and PAHs on the diversity of restored plants and soil microbial communities under different utilization modes, a method for constructing a combined plant-microbial community restoration system in coal mine restoration areas is provided. The quadrat survey method is used to investigate the composition and structural characteristics of the vegetation community in the gangue restoration area; the Miseq high-throughput sequencing technology is used to detect the composition and diversity of the bacterial community in the soil of the gangue area, analyze the composition, distribution and diversity characteristics of the microbial community at different stages of mining area accumulation and restoration and in different seasons of the restoration area, and analyze their differences, and use the co-evolution strategy to screen the plant rhizosphere-microbial ecological community that can efficiently degrade pollutants; construct a soil-plant-microbial efficient degradation system. The plants that can enrich heavy metals and have a strong nitrogen fixation effect are screened out, and the dominant bacterial genera that are tolerant to heavy metals or can degrade PAHs are found, which helps the further restoration of the gangue mountain in this area.

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.