199 results about "Forest plantation" patented technology

The invention provides application of a Pto-C3H35 gene haplotype in evaluation of poplar lignin content, and belongs to the technical field of molecular markers. According to the invention, the haplotype of the Pto-C3H35 gene is determined according to the nucleotides of SNP1, InDel1, InDel2, InDel3 and SNP2. The invention provides a primer group and a kit for determining the gene haplotype as well as a method for determining the gene haplotype, the lignin content of the poplar can be accurately judged by determining the genotype combination of the five sites, and superior plants with low lignin content are accurately and efficiently screened in the early growth stage of the poplar; the method is applied to new variety breeding of industrial poplar artificial forests, and effectively shortens the breeding period.

The invention relates to a forest cultivation dynamic monitoring method and system based on a remote sensing technology, and the method comprises the steps: collecting point cloud and multi-source topographic data of a complex topographic region through the fusion of an airborne laser radar and a satellite radar technology, and generating a high-precision point cloud and topographic parameter matrix through denoising and registration; a segmentation threshold value is dynamically optimized in combination with topographic features, the canopy point cloud penetration rate of abrupt slope and valley areas is improved, and the problem of canopy missegmentation caused by uneven point cloud density under a complex terrain is solved; constructing a penetration rate compensation model driven by terrain influence factors, correcting laser radar point cloud deviation and inverting high-precision tree height, crown breadth and biomass parameters; and based on fusion analysis of the multi-temporal vegetation index and a machine learning model, early warning of diseases and insect pests and fire hazards and dynamic evaluation of a man-made forest cultivation effect are realized. According to the method, the bottleneck of complex terrain monitoring is broken through, the forest parameter inversion precision and the real-time response capability are remarkably improved, and technical support is provided for precise management of forestry resources.

The invention provides a binary wood volume equation forest measurement method based on a ground-based laser radar. The method comprises the following steps: acquiring complete point cloud information scanned by the ground-based laser radar; processing the point cloud data to obtain tree structure parameters; fitting a plurality of cutting degree equation models through tree structure parameters to obtain a single-tree optimal cutting degree equation model; and a single-wood cutting degree-binary wood volume equation is constructed based on the single-wood optimal cutting degree equation, and the single-wood volume is calculated. According to the method, the traditional under-forest data acquisition work can be simplified, the tree species cutting degree equation can be updated for the sample plot forest more timely and accurately, the permanent damage to the tree caused by ground survey can be reduced, effective technical support is provided for the survey of the stand volume of a man-made forest and the estimation of the forest stand outturn percentage, and the method is suitable for popularization and application. Compared with a traditional method for estimating the volume and the stock of the single wood through a wood stock table, the method is higher in precision and better in flexibility, can be better used in the production practice process, and greatly saves manpower, material resources and financial resources.

The invention relates to the field of man-made forest carbon sequestration, and particularly discloses a man-made forest carbon sequestration monitoring report automatic generation system and method.The method comprises the steps that firstly, carbon dioxide values of different environment heights, needle-leaved man-made forest growth environment data and needle-leaved man-made forest ecological productivity text data collected by a carbon dioxide monitor are obtained; and then feature extraction and correlation analysis are performed on the three by using a deep learning technology, and finally a man-made forest carbon sink monitoring report is generated through a generator, so that more accurate and effective support is provided for man-made forest management and environmental protection.

The invention relates to the technical field of plant cultivation, in particular to a phoebe bournei compound management method for cultivating long phoebe bournei with short phoebe bournei, which comprises the following steps: removing all plants on a forest land, and marking a management mode of a planting belt as follows: at least one line of phoebe bournei and one line of melaleuca alternifolia are interplanted, the line spacing of phoebe bournei is 2-3m * 3-7m, and the plant line spacing of melaleuca alternifolia is 1-3m * 1-3m; after phoebe bournei seedlings are subjected to seedling strengthening treatment, the phoebe bournei seedlings and melaleuca alternifolia are subjected to afforestation together, the melaleuca alternifolia are subjected to stubble cutting from January to February of the second year of afforestation and field planting, the stubble height is 10-35 cm, branches and leaves are taken to extract melaleuca alternifolia essential oil, waste generated through extraction and animal waste are mixed according to the ratio of 1: (1-2) for composting, organic fertilizer is obtained, and the organic fertilizer is applied in winter. Compared with the prior art, after the phoebe bournei is subjected to seedling strengthening treatment, the phoebe bournei is interplanted with the melaleuca alternifolia, the plant height, the ground diameter and the maximum crown breadth of the phoebe bournei are increased, and the economic benefit of a man-made forest is increased by means of short cultivation and long cultivation.

The invention provides a method and device for evaluating the stability of a soil slope in a man-made forest area and electronic equipment, and relates to the technical field of slope protection. In the method, a multi-field coupling numerical model not only considers a hydrological effect and a mechanical effect, but also considers the comprehensive effect of the hydrological effect and the mechanical effect; and the comprehensive influence of the artificial forest on the slope stability under the real environment load can be accurately quantified and verified.

The invention discloses a man-made forest remote sensing extraction method based on satellite-borne laser waveform vertical structure complexity. Comprising the following steps: step 1, acquiring L1B geographic positioning waveform, L2A light spot scale global surface height and vegetation height and L2B light spot scale global crown coverage and vertical profile index product data of a satellite-borne full-waveform laser radar GEDI in a forest area; 2, carrying out the preprocessing of the obtained data, and obtaining a high-quality satellite-borne laser radar light spot in the region; 3, carrying out feature extraction, calculating the information entropy of the echo waveform of a single light spot and the waveform similarity of adjacent light spots from L1B geographic positioning waveform data, and extracting the canopy coverage and the leaf height diversity index from L2B light spot scale global crown coverage and vertical profile indexes; constructing a linear model of the height percentile in the L2A light spot scale global surface height and vegetation height data, and calculating the slope of the linear model as a feature; 4, inputting the five features, and performing classified extraction of artificial forests and natural forests by adopting a random forest model; and 5, evaluating the extraction precision and feature importance of the artificial forest. According to the method, a plurality of vertical structure characteristics of the forest are obtained through waveform information of the satellite-borne laser radar, the stand of the artificial forest is extracted in combination with the random forest model, and the artificial forest and the natural forest can be distinguished by fully utilizing the vertical structure characteristics of the satellite-borne laser waveform of the forest area.

The invention relates to the technical field of man-made forest directional reconstruction, in particular to a low-quality poplar man-made forest grading directional reconstruction method, which comprises the steps of deploying a plurality of sensors at different positions in a man-made forest area to construct a sensor network for data collection, and performing data processing on data collected by the sensors by utilizing a fusion algorithm; constructing a man-made forest degradation grading model, respectively extracting index data and sub-index data from the fused data, constructing a constraint function in a constraint layer for constraint, and constructing a stability index function and a degradation index function under an optimal weight coefficient; setting a non-degradation index threshold value in the target layer to realize grade division of artificial forest degradation; and a comprehensive transformation target function is constructed, directional transformation is performed according to the divided artificial forest degradation levels, and directional transformation of different degrees under different levels is realized by adjusting the adjustment coefficients under different levels.

The invention discloses a treatment method for preventing artificial forest castanopsis hystrix from cracking and deforming. The treatment method comprises the following steps: (1) drying; (2) balancing; (3) dipping; (4) heat treatment; and carrying out ventilation balance on the heat-treated plate in a natural environment for 2 weeks to obtain the heat-treated plate. The modifier adopted in the method is good in thermal stability, a staged heat treatment mode is adopted, the drying efficiency of the modified material is improved, the modifier is fully cured, meanwhile, the plate is subjected to heat treatment, the size stability of the plate is further improved, and the cracking deformation preventing castanopsis hystrix plate is obtained; furthermore, the method is simple and convenient to operate, large-batch treatment can be achieved, and the obtained artificial forest castanopsis hystrix modified material capable of preventing deformation and cracking is resistant to water and moisture, stable and resistant to cracking.

The invention discloses a forest tree planting environment analysis and optimization method based on big data, and relates to the field of forest tree planting, and the method comprises the steps: obtaining high-resolution vegetation index data of a target region for continuous N years; eliminating fluctuation interference of clouds and seasons of the high-resolution vegetation index data to construct a pixel-by-pixel vegetation growth track; obtaining artificial forest tending data, meteorological observation data and topographic data of the target area for continuous N years; according to the pixel-by-pixel vegetation growth track, the artificial forest tending data, the meteorological observation data and the topographic data, carrying out region attribute division to obtain a region division result; and optimizing forest planting strategies corresponding to the fluctuation area and the degradation area in the area division result in combination with artificial forest tending data. According to the method, the problems of unstable remote sensing data, insufficient adaptive modeling, extensive optimization strategy and the like in the prior art are solved, and the method has remarkable ecological value and application prospect.

The invention belongs to the field of forestry carbon neutralization, and relates to a forest landscape afforestation full-life-cycle carbon emission accounting method, which comprises the following steps of: firstly, dividing forest landscape afforestation activities into two major categories of new afforestation and landscape transformation; further dividing into specific types such as a national reserve forest, a forest park, a forest rehabilitation base, a low-efficiency man-made forest and a low-efficiency ecological public welfare forest, then determining a life cycle sub-stage, and determining a purpose, a system boundary and a functional unit of the life cycle; determining an input and output list according to the production information; constructing a carbon emission accounting model covering a calculation method, an emission factor and a distribution rule; finally, carbon footprint analysis and sensitivity analysis are carried out to evaluate the emission ratio and data quality, the diversity and complexity of forest landscape afforestation are comprehensively considered, the system boundary of landscape afforestation is accurately defined, and a more scientific, more comprehensive, finer and more accurate accounting method is provided for the accounting of forestry carbon emission.

The invention provides a panda suitable habitat recovery method based on artificial forest reconstruction, and relates to the field of artificial forest reconstruction, and the method comprises the following steps: S1, reconstructing an artificial forest, and dividing the reconstructed artificial forest into a high-altitude region, a medium-altitude region, a low-altitude region and a normal-altitude region; s2, the complementary planting vegetation in the high-altitude area is mixed planting of evergreen arbors and deciduous arbors, the complementary planting vegetation in the medium-altitude area is bamboo forest, the complementary planting vegetation in the low-altitude area is mixed planting of bamboo forest and shrubs, and the complementary planting vegetation in the normal-altitude area is mixed planting of bamboo forest and evergreen arbors; s3, performing structure adjustment in the high-altitude area, the medium-altitude area, the low-altitude area and the normal-altitude area; and S4, arranging a temperature sensor and a humidity sensor in the artificial forest. The diversity of trees in the artificial forest is improved, the growth of the trees and the balance of an ecological system are maintained, the environment and the trees in the artificial forest are monitored in real time, and the varieties of the trees capable of being planted in the range are increased.

The invention belongs to the technical field of soil loosening devices, and particularly relates to a man-made forest soil ecological restoration soil loosening device which comprises a protective cover, the front side and the bottom of the protective cover are open, a mounting frame is mounted on the front side of the top of the protective cover, and a rotating shaft is rotationally connected between the inner walls of the two sides of the protective cover. Through the arrangement of the first reset springs, when the rake teeth on the first mounting rings make contact with the ground, the ground can apply thrust of different magnitudes in the direction close to the first fixing rings to the first mounting rings through the rake teeth, and therefore the distance between the rake teeth located on the adjacent first mounting rings and the second mounting rings can be continuously changed; furthermore, when branch sundries are clamped between the adjacent rake teeth on the first mounting ring and the second mounting ring, the clamped branch sundries can more easily fall off between the first mounting ring and the second mounting ring along with continuous movement of the rake teeth on the first mounting ring, and the ploughing efficiency and the ploughing effect of the rake teeth are guaranteed.

The invention belongs to the technical field of soil sampling, and particularly relates to a soil detection sampling device and sampling method.The soil detection sampling device comprises an unmanned aerial vehicle body, a connecting plate is fixedly connected to the lower end face of the unmanned aerial vehicle body, and a sampling barrel is rotationally arranged in the middle of the lower end face of an adjusting plate; a drill bit is fixedly connected to the lower end of the sampling barrel, a plurality of sampling boxes are connected to the sampling barrel in an inserted and sliding mode, and a clamping and lifting mechanism for preventing foreign matter on the ground from interfering with sampling work is further arranged on the treatment box. By utilizing the clamping and lifting mechanism, when a sampling site is covered by foreign matters, the foreign matters can enter the treatment box in a manner of clamping the foreign matters by utilizing a clamping jaw, and then sampling work is carried out, so that the situation that foreign matter fragments are mixed into a soil sample in the sampling process due to the fact that the sampling site is covered by the foreign matters is avoided; the subsequent soil analysis is interfered, and the accuracy of a detection result is influenced.

The invention relates to the technical field of ecological breeding of scylla paramamosain and protection and restoration of mangrove forests. The invention provides a method for culturing scylla paramamosain by using mangrove forest, which comprises the following steps: (1) carrying out simple engineering transformation on the basis of a coastal wetland traditional culture pond, constructing a planting island in the middle of the culture pond, and reserving an annular tidal creek between the planting island and the periphery of the culture pond; (2) planting mangrove plants in the planting island to form a man-made forest; (3) small aquatic plants are planted at the bottom of the artificial forest, and large algae are planted in the annular ditches; and (4) putting the young blue crabs into the culture pond, and carrying out daily management until the blue crabs are harvested. The shellfish is used for providing main food supply for the blue crabs, and meanwhile water is purified; excrement of the blue crabs can be fed back to promote growth of mangroves, algae, mussels and the like; large algae can perform photosynthesis at the bottom of the pond to increase dissolved oxygen in water, and small sea grass is placed in the planting island to make up for the defect of low coverage of newly planted mangrove forest plant seedlings.

The invention discloses a forest management method for improving quality and efficiency of a fir man-made forest, application and the fir man-made forest, and the forest management method for improving quality and efficiency of the fir man-made forest comprises the following steps: cutting off part of forests in the fir man-made forest to enable the retention density of the existing forest stand to be 100-1050 plants / hm < 2 >; precious and indigenous tree species are planted in forest stand gaps in a complementary mode, and the complementary plant number is 300 plants / hm < 2 > to 1260 plants / hm < 2 >; the complementary planting tree species are at least three of phoebe bournei, sweetgum, schima superba, camphor tree, cyclobalanopsis glauca, taxus chinensis var mairei, gingko, schima superba, mangnolia officinalis, melia azedarach and sapium discolor. According to the method, quality improvement / operation transformation measures such as stand density adjustment and tree species configuration regulation are carried out on the fir man-made forests in different age groups, precious and indigenous tree species are selected according to local conditions for complementary planting, different-age, multi-layer and mixed stand is cultivated, precious wood is stored, and the operation purpose of quality improvement and efficiency improvement of the fir man-made forests is achieved.

The invention relates to the technical field of image processing, and discloses a man-made forest remote sensing image segmentation method, electronic equipment and a computer readable storage medium, the method introduces MMF, performs joint modeling on vegetation indexes such as NDVI, EVI and the like and RGB images so as to improve the ability of a model to distinguish a man-made forest from other ground features, and introduces KAN-HGC so as to improve the efficiency of the model to distinguish the man-made forest from other ground features. A graph structure is adaptively constructed by combining a space structure and feature similarity, so that the recognition capability of the model on a boundary region is improved, and GIGA is introduced, and key region features are enhanced through multi-dimensional attention, so that background interference is effectively inhibited, and the recognition accuracy of the model in a complex scene is improved; besides, an FReSCO optimizer is provided, a boundary enhancement and spectrum adjustment mechanism is introduced in training, and the adaptability and cross-scene generalization ability of the model to spectrum differences are improved.

The present invention relates to the technical field of directional transformation of plantation forests, and specifically to a method for hierarchical directional transformation of low-quality poplar plantation forests, including deploying a plurality of sensors at different positions in the plantation forest area to construct a sensor network for data collection, and using a fusion algorithm to process the data collected by the sensors; constructing a model for classifying the degradation levels of plantation forests, respectively extracting index data and sub-index data from the fused data, constructing a constraint function in the constraint layer for constraint, and constructing a stability index function and a degradation index function under the optimal weight coefficient, and realizing the classification of the degradation levels of plantation forests by setting an undegraded index threshold in the target layer; constructing a comprehensive transformation objective function, and performing directional transformation according to the classified degradation levels of plantation forests, and realizing different degrees of directional transformation at different levels by adjusting the adjustment coefficients at different levels.

The invention provides a method for screening broad-leaved tree species suitable for being mixed with cunninghamia lanceolata, and belongs to the technical field of forest tree management. The cunninghamia lanceolata and broad-leaved trees are subjected to mixed afforestation, and meanwhile, a cunninghamia lanceolata pure forest is built as a yield measurement control; the method comprises the following steps: comparing the accumulation of a cedarwood / broad-leaved tree mixed forest and a cedarwood pure forest, the single-plant wood volume of cedarwood in the cedarwood / broad-leaved tree mixed forest and the single-plant wood volume growth amount of the cedarwood pure forest, and comparing the outturn percentage of the cedarwood standard wood species in the cedarwood / broad-leaved tree mixed forest and the outturn percentage of the standard wood species of the cedarwood pure forest; finally, broad-leaved tree species suitable for being mixed with the cunninghamia lanceolata are screened out. Cunninghamia lanceolata and broad-leaved tree species screened by the method are mixed, so that the wood yield of the artificial cunninghamia lanceolata forest and the outturn percentage of large and medium-sized timber species can be increased, the stand growth performance is excellent, the production requirements on the cunninghamia lanceolata under the existing conditions can be effectively met, and meanwhile, the method has relatively high economic benefits and ecological benefits and has a wide application prospect.

The invention relates to the technical field of image processing, in particular to a forest pest intelligent identification method based on unmanned aerial vehicle remote sensing, which comprises the following steps: analyzing the position distribution condition of pixel points in each suspected pest connected domain in an LAB color space coordinate system, and obtaining the green sensitivity of each suspected pest connected domain; dividing all suspected pest and disease connected domains into high green sensitivity connected domains and low green sensitivity connected domains based on green sensitivity; acquiring an enhancement coefficient of a remote sensing grayscale image of the to-be-detected man-made forest according to a grayscale difference condition of pixel points between the high green sensitivity connected domain and the low green sensitivity connected domain and the edge feature parameters; enhancing the remote sensing grayscale image of the to-be-detected man-made forest according to the enhancement coefficient to obtain an enhanced remote sensing image of the to-be-detected man-made forest; and performing intelligent forest disease and insect pest identification based on the enhanced remote sensing image of the to-be-detected man-made forest. According to the invention, the recognition degree of the forest regions with diseases and pests in the man-made forest is improved.

The invention discloses a method for extracting parameters of a (subtropical) eucalyptus man-made forest based on an unmanned aerial vehicle laser radar. The method comprises the following steps: investigating a sample plot, and measuring and calculating actual forest parameters such as average diameter, average height, sectional area, stand volume and the like; acquiring and preprocessing high-density unmanned aerial vehicle laser radar point cloud data, and extracting three types of feature variables of height, density and vertical structure; deducing a model structural formula on the basis of a stock different-speed growth equation, and screening variables according to rules; constructing a power model by using a regular exhaustion method; the optimal model is screened out through model parameter estimation, inspection, significance analysis and the like. According to the method, the variable synergistic effect is mined through the exhaustion method, the multi-dimensional test system is constructed, and the exclusive model is customized, so that the problems of one-sided variable screening, insufficient model reliability and poor specific forest stand adaptability in the prior art are solved, high-precision estimation of core forest parameters is realized, and the method is suitable for large-scale popularization and application. And scientific and effective technical support is provided for refined management and sustainable operation of eucalyptus man-made forest resources.

The invention discloses an application of a PadPGR5a gene in fast-growing high-quality high-yield poplar breeding, belongs to the technical field of genetic engineering, and particularly relates to the application of the PadPGR5a gene in fast-growing high-quality high-yield poplar breeding, and the nucleotide sequence of the PadPGR5a gene is shown as SEQ ID NO.1. The invention further discloses an application of the PadPGR5a gene in fast-growing high-quality high-yield poplar breeding. Through phenotypic analysis, the plant height of the PadPGR5a gene overexpressed transgenic poplar is obviously increased, the net photosynthetic rate is obviously improved, and the oxidative stress resistance is obviously enhanced. It is shown that the PadPGR5a gene is an important forest fast-growing improved gene resource, and a new excellent transgenic variety can be provided for construction of a fast-growing high-quality high-yield poplar man-made forest by means of a genetic engineering technology.

The invention relates to the technical field of electric digital data processing, and particularly discloses a poplar man-made forest soil structure optimization method based on combination of charcoal and organic fertilizer, which comprises the following steps: firstly, collecting soil initial characteristic data of a poplar man-made forest, and evaluating a soil structure improvement now force index to determine a soil optimization mode; and executing corresponding structure optimization measures according to the optimization mode, and sending a prompt to a preset display port. And then performing charcoal persistence evaluation and organic pollutant accumulation risk evaluation on the optimized poplar man-made forest area. And finally, updating the soil optimization configuration according to the evaluation results. The process realizes accurate optimization and continuous improvement of the soil structure of the artificial poplar forest, and ensures that the soil quality meets the growth requirements of poplar.

The invention provides a phoebe bournei needle-broadleaf mixed tending and improving method, and belongs to the technical field of forest cultivation and artificial forest management. Comprising the following steps that (1) phoebe bournei and cunninghamia bournei which are arranged in a spaced mode serve as a unit, a plurality of units are arranged, and phoebe bournei and cunninghamia bournei rows among the units are vertically arranged; (2) digging holes to transplant phoebe bournei seedlings and Chinese fir seedlings, applying a base fertilizer during soil returning, and starting to expand the holes, hilling and apply fertilizer in the second year after transplanting; (3) felling is started in the fourth year of afforestation, phoebe bournei is cultivated with cunninghamia bournei, and wound healing agents are adopted for treatment after the cunninghamia bournei According to the method, the phoebe bournei and the Chinese fir which are arranged in an interlaced mode serve as one unit, multiple units are arranged, so that forest stand arrangement is rationalized through the scheme that the phoebe bournei and the Chinese fir between the units are vertically arranged in a row mode, base fertilizer is accurately applied in the soil returning process, the tending frequency is increased, sanitary cutting is conducted, and tree body management is refined; and the double purposes of rapid growth of phoebe bournei, high-quality dry material cultivation and large-diameter material cultivation of Chinese fir are achieved.

This invention discloses a device for in-situ monitoring of surface runoff-interflow on plantation forest slopes, comprising a surface runoff ditch, a surface runoff collection well, an interflow pipe, and an interflow collection well. The surface runoff ditch is horizontally constructed on the slope, with a lower center and higher sides. The surface runoff collection well is connected at the center of the ditch. The interflow pipe is vertically inserted into the slope, with multiple interflow collection boxes on its side. A central pipe is located at the center of the interflow pipe, and the central pipe is connected to the interflow collection well. Compared with existing technologies, this invention can collect interflow in continuous slopes.

The present application relates to a kind of artificial forest multi-source remote sensing extraction method, belong to the field of remote sensing data detection, comprising: obtaining multi-source remote sensing data and pre-processing, obtain pre-processing multi-source remote sensing data;Respectively obtain training sample and verification sample, according to verification sample screening training sample to obtain first sample set;According to first sample set, respectively train several classifiers to obtain several first classifiers, and first sample set is classified to obtain first classification result;Sample enhancement is carried out to minority classification result in first classification result to obtain second sample set;According to second sample set, respectively train several first classifiers, corresponding to obtain several second classifiers;Through several second classifiers, respectively classify pre-processing multi-source remote sensing data, and the final classification result is obtained by decision fusion to second classification result.The present application is based on multi-source remote sensing data, according to sample enhancement and decision fusion of classification result, improve the recognition ability to minority class sample.

The invention discloses a GEP evaluation and carbon sequestration and sink increase system for a man-made forest ecosystem. The GEP evaluation and carbon sequestration and sink increase system comprises a storage server, a distributed server or a processor set, a database; artificial forest basic information identification software; ecological system information acquisition software; the long-term monitoring system is configured to be capable of collecting water, soil and gas generation indexes of a man-made forest ecological station in a designated man-made forest area; the thematic monitoring system is configured to be capable of collecting an ecological system service state and a carbon sink index of a specified artificial forest area; the artificial forest ecosystem service evaluation system is used for finally obtaining a GEP evaluation result; a carbon sequestration and sink increase management system; and the ecosystem GEP evaluation and carbon sink management decision platform screens an ecosystem operation management method with a carbon sink enhancing function as a carbon sequestration and carbon sink increase management strategy. According to the method, the biodiversity of the man-made forest and the productivity of forest land are improved, and economic benefits and ecological benefits of the man-made forest are maximized.

The invention belongs to the field of cultivation of precious tree species, namely, erythrophloem artichoke wood forests, and particularly relates to a material-saving-free cultivation technology for erythrophloem artichoke. In order to solve the problems of many branches, unobvious trunks, low outturn percentage, many wood knots in main outturn sections and poor quality in the early stage of an existing artificial evergreen forest, the invention provides the following scheme that the method comprises the following steps: (1) environment regulation and control of early-stage afforestation grafting: S1, environment control: uniform intermediate cutting and different-age mixing, and block intermediate cutting and different-age mixing; s2, associated tree species are selected, wherein the associated tree species and fast-growing tree species are mixed at the same age; (2) a young forest stage tending management stage: S3, afforestation and tending management: the first three years after afforestation is the afforestation tending management stage, and the main technology comprises afforestation density, tending, fertilization and bud picking and pruning; the method can improve the early-stage trunk formation of the erythrospermum erythrorhizon forest, inhibit the number of knots, reduce the cost, and improve the wood yield and quality.

The present application provides a method for extracting short-time-span growth of eucalyptus plantations based on UAV data, and relates to the field of forest resource investigation and forestry quantitative remote sensing research. The method comprises the following steps: field investigation and UAV data collection are carried out on selected eucalyptus plantation sample plots; DEM and monthly DOM and DSM of the sample plot are obtained, and monthly CHM is obtained by subtracting monthly DSM from DEM; a training set is divided from a data set composed of 12-month CHM, each tree crown on the CHM is labeled to obtain a labeled training set, and single tree segmentation is carried out by using the training set data and deep learning algorithm to obtain a monthly single tree segmentation vector diagram; single tree height, single tree crown and DOM spectral reflectance index of the sample plot are extracted; a single tree volume inversion model of the sample plot is constructed; single tree volume of eucalyptus plantations of the sample plot is extracted every month, and the sum is obtained to obtain stand volume, so as to realize short-time-span growth extraction of single tree and stand of eucalyptus plantations.

The application relates to a desert artificial forest space configuration method and device based on water resource carrying capacity, equipment and medium. The method comprises the following steps: collecting environmental data of a target desert area; dividing the target area into multiple regional partitions based on the environmental data; calculating a water resource carrying capacity index of each regional partition according to a preset water resource carrying capacity evaluation index; for each regional partition, combining the environmental data and the water resource carrying capacity index, and screening suitable artificial forest tree types by simulating an ecological hydrological process under a preset stand structure configuration; based on the artificial forest tree types, combining the environmental data and the water resource carrying capacity index to determine a planting density, and matching the tree types and the density to generate an artificial forest regional configuration scheme; and integrating all the regional configuration schemes to form a desert artificial forest space configuration scheme. The method can realize scientific space layout of the desert artificial forest, optimize water resource carrying capacity matching degree, and improve afforestation survival rate and ecological restoration effect.