28 results about "Natural forest" patented technology

The invention relates to the technical field of forest resource investigation and monitoring, and discloses a natural forest multi-source point cloud registration method and system based on point cloud segmentation optimization, and the method comprises the steps: laying a sample plot, collecting the diameter at breast height, the height and the crown breadth of a single tree, and obtaining the space coordinates of the single tree in combination with RTK; according to the method, unmanned aerial vehicle laser scanning and backpack laser scanning are adopted to collect and preprocess point cloud data of a research area, an ICP algorithm is adopted to align a source point cloud with a target point cloud through rotation and translation, point cloud registration is achieved through a minimization error function, point cloud registration precision and errors are quantified through evaluation indexes, and point cloud registration evaluation is carried out. Therefore, the point cloud registration precision is effectively improved through a segmented registration strategy, limitation caused by single sensor data can be overcome through fusion of BLS and ULS multi-source point cloud data, the extraction precision of tree structure parameters is remarkably improved, and the method is not only suitable for point cloud registration of natural forests, but also suitable for point cloud registration of natural forests. And reliable data support and technical support are provided for forest resource monitoring and ecological protection.

Provided in the present invention is an artificial-afforestation area extraction method based on a high-resolution remote-sensing image. The method comprises: acquiring a remote-sensing image, and preprocessing the remote-sensing image; inputting the preprocessed remote-sensing image into an intelligent forest extraction model, so as to obtain a distribution map for all forests; performing edge detection and Hough transform line detection on the distribution map for all the forests, so as to obtain artificial afforestation regions and natural forest regions; and calculating the areas of the artificial afforestation regions and the areas of the natural forest regions, so as to obtain statistical results for artificial afforestation and natural forests. The present invention can solve the shortcomings of conventional monitoring means in terms of efficiency, cost and accuracy, and provides technical supports for large-scale forestry investigation and ecological monitoring.

The invention provides a degraded natural forest restoring force quantitative prediction method and system, and relates to the field of forest measurement. Partitioning and rasterizing the target degraded natural forest based on the same type, and screening environment-similar grids for each grid to jointly form a reference area in combination with historical climate and topographic data; in the reference area, monthly reference values of the NDVI are determined month by month, and an ideal accumulated NDVI is obtained through accumulation by year; calculating the actual accumulated NDVI of the grids in the region in the same year, and taking the ratio of the actual accumulated NDVI to the ideal accumulated NDVI as a recovery degree index; calculating a recovery target value according to the ratio of the maximum actual accumulated NDVI to the ideal accumulated NDVI in each year; and establishing a segmented regression model by taking the initial recovery degree index of the historical degraded grid as an independent variable and the time for recovering to a target value as a dependent variable, and inputting the current recovery degree index of the grid to be predicted to obtain a recovery force predicted value. Therefore, accurate and efficient quantitative prediction of the restoring force of the degraded natural forest is realized, the method is suitable for large-range monitoring, and accurate data support is provided for restoration management.

This invention discloses a method and system for identifying planted and natural forests based on multi-source remote sensing and spatiotemporal joint optimization, belonging to the fields of remote sensing image processing, earth observation, and dynamic monitoring of forest ecology. Addressing the problems of high label noise and disordered temporal logic in existing technologies, this invention obtains high-purity training samples through multi-stage iterative purification by fusing CCDC mutation history and deep semantic features; obtains pixel-level confidence through independent initial classification by geographic partitioning; constructs an HMM model integrating ecological prior constraints and dynamic adaptive emission probabilities for Viterbi decoding; and performs constrained spatial restoration with cross-dimensional temporal security checks. This invention effectively suppresses temporal pseudo-variables and salt-and-pepper noise, achieving high-resolution thematic mapping year by year with no temporal logical contradictions and regular spatial patches, suitable for fine-grained forest classification and compliance monitoring of zero-deforestation laws in tropical and subtropical regions.

The invention discloses auxiliary equipment for natural forest isolation protection, and relates to the field of natural forest isolation protection, the auxiliary equipment comprises a bottom plate, the upper surface of the bottom plate is fixedly connected with a shell, the upper surface of the shell is fixedly connected with a top plate, and two sides of the top of the bottom plate are fixedly connected with two supporting seats; according to the auxiliary equipment for natural forest isolation protection, a pentagonal prism, a clamping mechanism, a gear and a tooth groove rod form a linkage height adjusting system, rapid mechanical connection of adjacent equipment is achieved in combination with a grip, a lead screw, a threaded sleeve, a connecting rod, an outer frame and a column sleeve in a butt joint mechanism, and the problems that in the prior art, height adjusting efficiency of multiple equipment is low, and consistency is poor are solved; according to the isolation mechanism, the whole isolation belt can be synchronously lifted through single-point driving, the overall structure gives consideration to strength, flexibility and reliability, and the actual requirements of large-area isolation of natural forests for high efficiency, unification and low maintenance cost are effectively met.

The invention discloses a common sassafras in-situ germplasm resource library conservation method which comprises the following steps: (1) selecting a forest stand on which common sassafras grows from natural forest stands, and forming an in-situ conservation group of the common sassafras by all common sassafras single plants in the selected forest stand; in the selected forest stand, the number of single common sassafras plants is larger than or equal to 300; (2) investigating the tree height, diameter at breast height and fruiting amount of single sassafras plants in the in-situ conservation group; and (3) selecting a sampling single plant from the sassafras single plants of the in-situ conservation group according to the survey result in the step (2), and carrying out leaf collection on the sampling single plant. According to the method provided by the invention, a common sassafras germplasm resource collection and preservation strategy is provided around a common sassafras natural population genetic variation distribution pattern, and construction of a common sassafras in-situ germplasm resource library can be guided.

This invention belongs to the field of forest resource monitoring and growth prediction technology, specifically involving a tree species strategy grouping and forest growth prediction method based on morphological traits. The method includes the following steps: acquiring individual-level monitoring data from sample plots; preprocessing the data to construct growth response variables, and transforming and standardizing the diameter at breast height (DBH) and competition index terms; constructing a species-level morphological trait table, standardizing the morphological traits, and generating morphological representations; clustering tree species based on morphological representations to form tree species strategy groups, and backfilling these strategy groups into individual-level samples to construct a training dataset; establishing a hierarchical growth prediction model based on the training dataset, and setting tree species random effects; when the target tree species is not present in the training dataset, determining the strategy group label based on its morphological representation, and outputting the growth prediction result solely based on the model's fixed effects. This invention is applicable to the monitoring and prediction analysis of multi-species natural forest growth and has good market application prospects.

The invention relates to a dynamic test device and method for studying forest litter in-situ cumulative decomposition, the dynamic test device comprises a fixing frame and an upper layer frame and a lower layer frame which are respectively arranged on the upper portion and the lower portion of the fixing frame, the upper layer frame is used for collecting litter and can realize yield dynamic study of the litter, and the lower layer frame is used for simulating in-situ litter decomposition. The litter decomposition dynamic research can be achieved, the upper-layer frame body and the lower-layer frame body each comprise a plurality of frame edges and a frame bottom arranged at the bottoms of the frame edges, and the frame bottoms are connected with part of the frame edges through zipper assemblies so that the frame bottoms can be conveniently opened. The device has the advantages of being simple in structure, light in material, durable, reliable, low in price, convenient to carry and easy to install, the research method is simple and convenient to operate, the litter in-situ accumulation and decomposition process is truly reduced, and the research result more truly reflects the natural forest litter decomposition change process.

This invention relates to the field of medicinal plant cultivation technology, specifically a cultivation method and application for significantly increasing the mannan content of Dendrobium officinale. The method includes: selecting a suitable cedar forest environment, fixing Dendrobium officinale seedlings using a soilless planting method, watering regularly, and spraying with a 200-fold diluted indigenous probiotic cultivation enzyme every 10 days, for a total of 10 sprays. The enzyme is fermented from native microorganisms in natural forest soil and plant materials, containing Bacillus amyloliquefaciens, yeast, active enzymes, and various minerals. This invention can significantly increase the yield of Dendrobium officinale and the content of active ingredients such as mannan and total amino acids, achieving green, efficient, and sustainable cultivation.

This invention provides a method for identifying the mechanism of carbon balance processes in natural vegetation-soil systems through forest succession. It determines the natural vegetation succession pathway through regional surveys, obtains dynamic changes in aboveground vegetation, litter, soil, root biomass, and carbon storage, monitors atmospheric precipitation and total water carbon content per unit time, determines the carbon input of atmospheric precipitation to the natural forest ecosystem, and, based on the above data, determines the changes in carbon storage of each component and the overall carbon storage of the natural forest ecosystem at different succession stages. It also obtains the carbon flux of the natural vegetation ecosystem, verifies the dynamic changes in carbon storage, and quantifies the magnitude of carbon storage changes in each component of the natural forest ecosystem at different succession levels and their contribution to the carbon balance process. This invention clarifies the mechanism by which forest succession affects the carbon balance process by applying ecological stoichiometry theory, providing a theoretical basis for understanding the participation of natural forests in the carbon cycle and for natural forest protection.

The invention discloses a method for constructing a high-heartwood-rate Chinese toon tree breeding population special for solid wood furniture. The method comprises the following steps: (1) selecting superior Chinese toon trees from a natural forest stand, wherein the natural forest stand is distributed in a region with the latitude of 27-32 degrees in north latitude, the longitude of 108-121 degrees in east longitude, the altitude of 150-800 m and the annual precipitation of 500-1900 mm; (2) constructing a clone of the superior toona sinensis: in November to December, collecting an annual branch at the middle upper part of a crown of the superior toona sinensis as a scion, sealing a cut of the scion with wax, and putting the scion into a sealing bag for cold storage at 4 DEG C; grafting the scion to the stock in mid-to-late February of the next year, and obtaining the superior clone of the toona sinensis after the grafting survives. According to the method, the breeding population can bloom within 3-5 years, the hybrid combination configuration requirement is met, high-heartwood-rate high-quality germplasm is rapidly obtained, and the breeding efficiency and quality are remarkably improved.

The application discloses a method for determining the age of single trees in natural forest stands, comprising the following steps: selecting reserved trees with multi-period measured diameter at breast height (DBH) in the natural forest stand, classifying the trees according to the annual growth rate of DBH, constructing a dummy variable of the tree grade based on a theoretical growth equation and adopting a starting point constraint, establishing a statistical model of the multi-period DBH of the single tree and the corresponding investigation time interval, and inversely deducing the age of the single tree through the model. The application solves the problem of obtaining the age of the single tree in the natural forest stand without affecting the growth of the tree and reducing the investigation work by combining the multi-period DBH data of the reserved tree with the differentiation condition of the trees in the forest stand, provides the age data for establishing the growth model of the natural forest reserves, and is helpful for monitoring the dynamic change of the natural forest resources and evaluating the site quality of the forest stand.

The invention discloses a randomly configured afforestation method and system for forest stand vertical fault restoration. The afforestation method comprises the following steps: constructing a random complementary planting structure unit; the forest windows are graded according to the area scale, and different numbers of random complementary planting structure units are supplemented in a random configuration mode; selecting nursery stocks to be subjected to complementary planting; standardizing seedling planting and management; reasonably selecting complementary planting tree species of the random complementary planting structure units; the planting and afforestation time is stipulated. According to the method, dumbbell-shaped and torch-shaped configuration units are constructed, the forest windows with different areas and scales are graded, and different numbers of random complementary planting structure units are supplemented by adopting a random configuration mode, so that the stability and ecological diversity of the forest are remarkably improved. By simulating a random structure of a natural forest and constructing a random structural body, a long-acting and stable microenvironment is provided for the forest, the overall health and stability of the forest stand are maintained, the natural succession of the forest structure is accelerated, and rapid formation of a multi-tree mixed forest is promoted.

The invention discloses a forest land drought factor identification method, and belongs to the field of forest ecological monitoring, and the method comprises the steps: collecting climate factor data of each forest land, and determining a natural forest matched with each man-made forest according to the climate factor data; acquiring and constructing a plurality of training samples according to forest factor data of each forest land; the training sample comprises a man-made forest sample, a first natural forest sample and a second natural forest sample formed by combining a man-made forest and a natural forest matched with the man-made forest; taking the man-made forest sample and the first natural forest sample as input features of first training, taking the first natural forest sample and the second natural forest sample as input features of second training, training a preset recurrent neural network, and obtaining prediction models corresponding to the drought types; and through the prediction model corresponding to each drought type, determining the maximum influence factor causing each drought type in each forest land from the input features. The problem of low forest land drought factor identification accuracy can be solved.

The utility model relates to the technical field of forestry mechanical equipment, and discloses a natural forest seed diffusion auxiliary device which comprises a bearing frame, a storage box is fixedly connected to the inner side of the bearing frame, a rotary drum is arranged below the storage box, a feeding port is formed in the top of the storage box, and a supporting rod is fixedly connected to the outer wall of the left side of the bearing frame. And a motor is fixedly installed at the top of the supporting rod, an intermittent assembly is arranged between the rotary drum and the storage box body, the intermittent assembly comprises a material distributing plate, the material distributing plate is fixedly connected to the surface of the rotary drum, and an extending shell is fixedly connected to the right side of the rotary drum. According to the seed feeding device, the seed feeding rhythm can be accurately controlled through the arranged intermittent assembly, the feeding frequency can be conveniently adjusted through the threaded rod according to actual requirements, the requirements of different natural forest areas for the seed feeding amount and the feeding rhythm are met, excessive or disordered seed feeding is avoided, and the applicability of the device in various scenes is improved.

The invention discloses a natural forest ecological restoration pile with an anchoring structure, and relates to the field of natural forest ecological restoration, the natural forest ecological restoration pile comprises a protection mechanism, the protection mechanism comprises a vertical pipe, and a plurality of barb mechanisms are arranged on the outer ring of the vertical pipe in the vertical direction of the vertical pipe; according to the ecological restoration pile, the rotary clamping mechanism is driven through the stress rod, the blade and the metal clamp are driven to be actively unfolded in a soil layer, the contact area and the occlusal force with a soil body are increased, the pulling resistance and the stability of a single pile are improved, and therefore the use amount of the pile body is reduced, the material and labor cost is reduced, and meanwhile damage of high-density piling to original soil is avoided; and the soil breaking rod, the barb end and the inclined block in the soil breaking mechanism cooperate to ensure that the pile body vertically and accurately enters the soil under the complex geological conditions of looseness, high water content or abrupt slopes and the like, the construction efficiency and quality are improved, the unfolded blades have the self-locking characteristic, and the long-term anti-sliding capacity is enhanced.

The invention discloses an artificial protection forest close-to-nature reconstruction method based on natural succession stage staging regulation and control, and the method comprises the steps: accurately judging the natural succession stage of a forest stand, and setting a threshold condition for transition to a next stage, so as to enable all reconstruction measures to be anchored to the development process of the forest stand; illumination and provenance are cooperatively regulated and controlled through forest window opening up and broad-leaved tree species complementary planting, and the under-forest natural updating potential is activated; through staged thinning, window expansion, width supplementation and needle control, the stand is guided to gradually turn from a single-layer same-age needle leaf structure to a different-age multi-layer, broad leaf dominated and plaque inlaid top-level community form; the litter reserves, the soil biological activity and the hydrological regulation capacity are synchronously improved, and a multi-layer protection system and a dynamic balance monitoring mechanism are constructed. The forest stand does not depend on continuous human intervention to maintain the function any more, but depends on succession power of the forest stand to achieve structural optimization and function jump, the succession stagnation problem is solved, and the artificial protection forest really has the stability, restoring force and sustainability of the near-natural forest stand.

The invention provides an object-oriented natural forest and artificial forest classification method, and relates to the field of forest classification and recognition research, and the method comprises the steps: carrying out the superpixel segmentation of a preprocessed Sentinel-2 image, and obtaining an optimal segmentation scale; obtaining a multi-source remote sensing product; the method comprises the following steps: based on a Sentinel-2 image and a multi-source remote sensing product, taking an object as a basic unit, and extracting object-oriented multi-type features; performing feature optimization on the multi-type features; classifying the optimized features by applying a random forest algorithm and a support vector algorithm respectively, comparing the classification precision of the two methods, and determining an optimal classification model; obtaining a to-be-classified remote sensing image; and inputting a remote sensing image to be classified into the trained optimal classification model to obtain an optimal classification result of the natural forest and the artificial forest. According to the technical scheme, the problem that natural forests and artificial forests are difficult to classify is solved.

The invention relates to the technical field of forest resource monitoring and management, and discloses a forest stand structure optimization and complementary planting method fusing ULS and BLS point clouds, which improves the acquisition precision of complex mountain forest structure information by fusing the ULS and BLS point clouds. The continuity and reliability of forest window identification are improved through the processes of threshold screening, edge detection, smoothing and the like; quantification of the forest stand structure quality is realized by constructing a comprehensive evaluation index composed of five types of space structure parameters; and complementary planting optimization is carried out by introducing a genetic algorithm, so that the globality and effectiveness of scheme search are enhanced. The method provides an integrated technical framework for forest window operation and space structure optimization of the mountain natural forest, and has good application potential.

This invention discloses a method for direct seeding propagation of *Cibotium barometz* using native soil without sterilization, belonging to the field of plant propagation and seedling technology. This invention achieves ecological safety, low cost, and high efficiency in *Cibotium barometz* seedling cultivation, completely abandoning the existing method of sterilized substrate + tissue culture. It pioneers a zero-sterilization direct seeding technology using native soil, resolving the core contradiction between the harmful effects of sterilizing agent residues and the destruction of beneficial microorganisms. By utilizing locally sourced materials and natural forest light, the cost per seedling is reduced to ≤0.25 yuan, significantly lower than traditional techniques (≥3 yuan / seedling). Simultaneously, the seedling cultivation cycle is shortened by more than 30%. Relying on the natural microbial community of the native soil and the natural environment under the forest, the seedlings exhibit strong resistance and a high transplant survival rate (≥75%), achieving efficient integration of seedling cultivation and planting.

The utility model relates to the field of litter collection, and discloses a natural forest litter environment-friendly collecting device which comprises a moving carrier, a discharging mechanism and a screening mechanism are arranged at the top of the moving carrier, the discharging mechanism comprises a collecting box, a lifting groove is formed in the inner wall of the collecting box, a filter screen plate is connected to the inner wall of the lifting groove in a sliding mode, and the filter screen plate is arranged on the top of the moving carrier. A toothed plate is fixedly connected to the inner wall of the lifting groove, a bidirectional motor is fixedly connected to the bottom of the filter screen plate, a rotating shaft is fixedly connected to the output end of the bidirectional motor, and a gear is rotationally connected to the outer wall of the rotating shaft. According to the utility model, by arranging the discharging mechanism and the filter screen plate, the collected fallen leaves and litter can be filtered and screened, so that the purity of the collected litter is higher, the trouble of subsequent treatment is reduced, and the filter screen plate ascends, so that the litter is prevented from falling off. And residues in the collecting box and fallen leaves and litters tightly attached to all corners of the inner wall of the collecting box can be comprehensively pushed out, and a large amount of manpower does not need to be consumed for cleaning.

The invention discloses an efficient lophatherum gracile seedling raising method, which mainly utilizes lophatherum gracile seeds to realize large-scale production of lophatherum gracile seedlings under forest conditions close to nature, and mainly comprises the following steps: harvesting and storing the lophatherum gracile seeds, accelerating germination, creating sowing conditions, sowing, performing early management after sowing, and cultivating the lophatherum gracile seedlings. The method gets rid of low natural germination rate of wild lophatherum gracile, sexual propagation of lophatherum gracile is performed by simulating naturally established under-forest simulated ecological conditions, seedlings are high in survival rate, short in growth cycle, high in growth density and good in growth vigor, large-scale production can be realized, and the method is easy to popularize and apply.

This invention relates to the field of forest resource survey and monitoring technology, and discloses a method and system for multi-source point cloud registration in natural forests based on point cloud segmentation optimization. The method involves setting up sample plots and collecting data on individual tree diameter at breast height (DBH), tree height, and crown width. RTK is used to obtain the spatial coordinates of individual trees. UAV laser scanning and backpack laser scanning are employed for point cloud data acquisition and preprocessing in the study area. The ICP algorithm is used to align the source and target point clouds using rotation and translation. Point cloud registration is achieved by minimizing the error function. Evaluation indicators are used to quantify the accuracy and error of point cloud registration, and point cloud registration is evaluated. Therefore, this invention effectively improves the accuracy of point cloud registration through a segmented registration strategy. By fusing BLS and ULS multi-source point cloud data, it overcomes the limitations of single-sensor data, significantly improving the extraction accuracy of tree structural parameters. This method is not only applicable to point cloud registration in natural forests but also provides reliable data support and technical assurance for forest resource monitoring and ecological protection.

The present application relates to the technical field of ecological restoration effect evaluation, in particular to a natural forest ecological restoration effect evaluation method, the steps are as follows: based on the microtopography and geomorphology characteristics and the spatial distribution characteristics of vegetation community of the target natural forest area, using spatial overlay analysis method, it is divided into multiple forest ecological monitoring units, and the three-dimensional ecological index set of each unit is obtained by combining airborne and ground-based laser radar point cloud data; according to the three-dimensional ecological index set, the index weight is calculated by using the subjective and objective combination weighting method; the subjective and objective weight is fused by introducing the succession limiting factor adjustment coefficient, and the ecological limiting dynamic weight value of each unit is obtained, and the niche filling degree evaluation model based on laplace membership function is constructed, and the ecological restoration effect of natural forest is qualitatively evaluated. The present application can accurately monitor the vertical structure by fusing air-ground radar data, effectively identify pseudo-restoration; the evaluation sensitivity and scientificity are significantly improved by introducing the succession dynamic weighting and laplace model.

The utility model relates to the technical field of protective nets, in particular to a natural forest protective net convenient to assemble. The device comprises a connecting frame and a plurality of groups of separation net assemblies, the connecting frame is of a rectangular structure and comprises two transverse rods and two vertical rods, the two transverse rods are arranged between the two vertical rods side by side, and a detachable connection structure is arranged between the adjacent transverse rod and vertical rod; the partition net assembly comprises a plurality of thick stainless steel wires arranged side by side, cloth sleeves are arranged on the peripheries of the thick stainless steel wires, and a connecting belt is connected between every two adjacent cloth sleeves. A plurality of steel wire positioning grooves are formed in the inner sides of the two transverse rods and the two vertical rods side by side. According to the technical scheme, the protective net can be conveniently disassembled and assembled, the arranged protective net assembly can be wound after being disassembled, thick stainless steel wires are not prone to being lost, the occupied space of the protective net is further reduced, and follow-up transportation work is facilitated.

The invention discloses an ecological policy optimization method based on climatic change and biodiversity collaborative assessment, comprising: constructing and assessing a climatic change mitigation and biodiversity protection dual-benefit index system, the dual-benefit index system comprising a climatic regulation benefit index and a biodiversity protection benefit index; carrying out analysis and threshold identification on a nonlinear response relationship of the environmental factors to the dual benefits; and based on the difference between the landscape pattern features and the dominant factors, delimiting an ecological partition management optimization path. The ecological policy optimization method can scientifically evaluate the synergistic benefit of the ecological conservation project in dual goals of climate change coping and biodiversity protection, is not only suitable for comprehensive effect evaluation of natural forest protection projects, but also can be popularized and applied to regulation and control management of other solutions based on nature, and has a wide application prospect. And a decision reference is provided for realizing precise treatment and high-quality sustainable development of an ecological space.