Complementary planting and repairing method and device for masson pine degenerated forest

Abstract

The invention provides a masson pine degenerated forest complementary planting restoration method and device, and belongs to the technical field of forestry resource management.The masson pine degenerated forest complementary planting restoration method includes the steps that a forest resource map is established, and regional resource information and forest grades are recorded in detail; according to regional resource information and forest grades, each felling region is directly screened in stages, not only infection regions are considered, a target felling region can be more reasonably and gradually determined, a forest resource map is combined, a complementary planting region is accurately determined, vacant space resources after felling are utilized to the maximum extent, the updating of forest resources is accelerated, and the economic benefit is increased. The utilization efficiency of forest land resources is improved, the rationality of the felling area and distance is ensured, the distribution of felling and replanting areas is reasonably centralized, the felling and replanting frequency, difficulty and cost can be reduced, and the operation efficiency is improved.

Description

Technical Field

[0001] The invention relates to the technical field of forestry resource management, and in particular to a method and device for replanting and restoring a degraded Masson pine forest. Background Art

[0002] Pine wilt disease is a fatal tree disease caused by pine wood nematodes, which has seriously affected the concentrated distribution area of ​​artificial coniferous forests dominated by Masson pine. The disease and pest spreads rapidly, causing the death of a large number of pine trees and causing significant damage to the forest ecosystem, which not only affects the regional forest quality and ecological security, but also has a negative impact on economic development and farmers' income.

[0003] In order to prevent and control pine wood nematode disease, huge amounts of money need to be invested in monitoring, prevention and treatment of diseased trees. In order to cope with this situation, high-quality native tree species can be selected for replanting and restoration of degraded forests to improve the health level of regional forests, improve forest quality, and solve the problem that pine resources in the epidemic area cannot be used normally. Specific measures include felling and scientifically treating infected pine trees, clearing the ground to prepare for replanting tree species, and then replanting other tree species according to the plan to ensure reasonable tree species configuration and planting density, and taking necessary soil improvement and planting technical measures to ensure the survival rate of tree species. After replanting is completed, it is necessary to regularly monitor the growth of tree species and the situation of diseases and insect pests, take timely prevention and control measures, and carry out timely tending management, such as pruning, fertilizing, weeding, etc., to promote the healthy growth of tree species. Through these measures, the ecological function and economic value of forests can be effectively improved, the harm of pine wood nematode disease can be reduced, and the sustainable use of regional forest resources can be promoted.

[0004] In the existing technology, the affected areas of pine wood nematodes are usually identified manually, and the infected areas and isolation zones are divided, and the infected and infected trees are cut down, and then the relevant trees are replanted to achieve resource repair of the forest land. However, in this process, the direct identification of the widely distributed pine wood nematode-affected trees takes time and effort, and these infected areas are small and scattered, which is not conducive to the implementation of efficient felling and replanting measures. Summary of the invention

[0005] The present invention provides a replanting and restoration method and device for a degraded Masson pine forest, which are used to solve the defect of low felling and replanting efficiency of the degraded Masson pine forest in the prior art and achieve the effect of improving the felling and replanting efficiency.

[0006] The present invention provides a method for replanting and restoring a degraded Masson pine forest, comprising:

[0007] Determine the forest resource map corresponding to the degraded Masson pine forest;

[0008] Based on the forest resource map, determining a first felling area for felling; the first felling area includes a general felling area and a target forest window and forest belt area; the general felling area is determined based on the tree grade, and the target forest window and forest belt area is determined based on regional resource information;

[0009] Determine the area and location of each first felling area, and perform buffer zone analysis on each first felling area to obtain the buffer area corresponding to each first felling area, analyze the buffer area corresponding to each first felling area by using an adjacency matrix algorithm, and select the second felling area from each first felling area; the area of ​​the second felling area is greater than the area threshold and the distance from any first felling area is greater than the distance threshold;

[0010] Based on the forest grade and regional resource information of the trees in the area connected to the second felling area, a third felling area for felling is obtained by screening from the buffer area connected to the second felling area;

[0011] Based on at least one of the first felling area, the second felling area and the third felling area, determine the target felling area for actual felling, and determine the replanting area in combination with the forest resource map;

[0012] Based on the regional resource information of the replanting area, replanting measures for the replanting area are determined.

[0013] According to a method for replanting and restoring a degraded Masson pine forest provided by the present invention, the buffer zone analysis is performed on each first felling area to obtain a buffer zone corresponding to each first felling area, a target plot is screened from the buffer zone corresponding to each first felling area based on an adjacency matrix algorithm, and a first felling area adjacent to the target plot is determined as the second felling area, including:

[0014] Performing a buffer zone analysis on each first felling area based on a distance threshold to obtain a buffer zone corresponding to each first felling area;

[0015] Based on the adjacency matrix algorithm, the buffer areas corresponding to each first felling area within the distance threshold are analyzed, and the first felling area whose buffer area within the distance threshold does not overlap with any first felling area and whose area is greater than the area threshold is determined as the second felling area.

[0016] According to a method for replanting and restoring degraded Masson pine forests provided by the present invention, based on the forest grade and regional resource information of trees in an area connected to the second felling area, a third felling area for felling is obtained by screening from a buffer area connected to the second felling area, comprising:

[0017] Based on the forest grade of the trees in the buffer area connected to the second felling area, selecting each candidate area from the buffer area connected to the second felling area;

[0018] Based on the regional resource information of each candidate area, a third felling area for felling is screened from each candidate area.

[0019] According to a method for replanting and restoring a degraded Masson pine forest provided by the present invention, the method of selecting a third felling area for felling from each candidate area based on regional resource information of each candidate area includes:

[0020] Each item of regional resource information of each candidate area is evaluated to obtain a regional characteristic value, and a weight value is assigned to each item;

[0021] Based on the regional characteristic value and weight value of each item in the regional resource information of each candidate area, the total regional characteristic value of each candidate area is obtained respectively;

[0022] Based on the total regional characteristic value of each candidate area, a third felling area for felling is screened out from each candidate area.

[0023] According to a method for replanting and restoring a degraded Masson pine forest provided by the present invention, the target felling area for actual felling is determined based on at least one of the first felling area, the second felling area, and the third felling area, and the replanting area is determined in combination with the forest resource map, including:

[0024] Determining the target felling area based on at least one of the first felling area, the second felling area, and the third felling area;

[0025] Based on the forest resource map, forest clearings with a canopy density less than a canopy density threshold are screened out;

[0026] The replanting area is determined based on the forest clearing and the target felling area.

[0027] According to a method for replanting and restoring a degraded Masson pine forest provided by the present invention, the target felling area is determined based on at least one of the first felling area, the second felling area, and the third felling area, including:

[0028] The area of ​​the first felling area excluding the second felling area, the second felling area, and the third felling area are determined as the target felling area.

[0029] According to a method for replanting and restoring a degraded Masson pine forest provided by the present invention, the forest gap and forest belt area is determined by the following method:

[0030] Determine candidate forest gaps based on tree density, tree height, tree canopy density, and topography in different areas;

[0031] The target forest gap and forest belt area is determined from among the candidate forest gap and forest belt areas based on the preset area and density conditions of the forest gap and forest belt; the area condition is used to limit the area of ​​a single forest gap and forest belt; the density condition is used to limit the total number of forest gaps and the total area of ​​the forest belt.

[0032] The present invention also provides a replanting and restoration device for degraded Masson pine forests, comprising:

[0033] Resource loading module, used to determine the forest resource map corresponding to the degraded Masson pine forest;

[0034] A first processing module is used to determine a first felling area for felling based on the forest resource map; the first felling area includes a general felling area and a target forest window and forest belt area; the general felling area is determined based on the tree grade, and the target forest window and forest belt area is determined based on regional resource information;

[0035] The second processing module is used to determine the area and location of each first felling area, and perform buffer zone analysis on each first felling area to obtain the buffer zone corresponding to each first felling area, analyze the buffer zone corresponding to each first felling area by using an adjacency matrix algorithm, and select the second felling area from each first felling area; the area of ​​the second felling area is greater than the area threshold and the distance from any first felling area is greater than the distance threshold;

[0036] A third processing module, configured to select a third felling area for felling from an area connected to the second felling area based on the forest grade of trees in the buffer area connected to the second felling area and regional resource information;

[0037] A fourth processing module, for determining a target felling area for actual felling based on at least one of the first felling area, the second felling area and the third felling area, and determining a replanting area in combination with the forest resource map;

[0038] The fifth processing module is used to determine the replanting measures of the replanting area based on the regional resource information of the replanting area.

[0039] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the method for replanting and restoring degraded Masson pine forests as described above is implemented.

[0040] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements any of the above-mentioned methods for replanting and restoring degraded Masson pine forests.

[0041] The present invention also provides a computer program product, comprising a computer program, which, when executed by a processor, implements any of the above-mentioned methods for replanting and restoring degraded Masson pine forests.

[0042] The present invention provides a method and device for replanting and restoring a degraded Masson pine forest. By establishing a forest resource map, the regional resource information and tree grades are recorded in detail, and each felling area is directly screened in stages based on the regional resource information and tree grades, rather than just considering the infected area. The target felling area can be determined more reasonably and step by step, and the replanting area can be accurately determined in combination with the forest resource map, so as to maximize the use of vacant land resources after felling, accelerate the renewal of forest resources, improve the utilization efficiency of forest resources, ensure the rationality of felling area and distance, and reasonably centralize the distribution of felling and replanting areas, which can reduce the frequency, difficulty and cost of felling and replanting and improve work efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0044] Figure 1 This is one of the flow diagrams of a method for replanting and restoring a degraded Masson pine forest provided by the present invention;

[0045] Figure 2 This is the second flow diagram of a method for replanting and restoring degraded Masson pine forests provided by the present invention;

[0046] Figure 3 It is a structural schematic diagram of a replanting and restoration device for degraded Masson pine forests provided by the present invention;

[0047] Figure 4 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0048] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0049] Combine the following Figure 1-Figure 4 The present invention describes a method and device for replanting and restoring degraded Masson pine forests.

[0050] like Figure 1 As shown, a method for replanting and restoring a degraded Masson pine forest provided by an embodiment of the present invention mainly includes step 110, step 120, step 130, step 140, step 150 and step 160.

[0051] Step 110, determining the forest resource map corresponding to the degraded Masson pine forest.

[0052] The forest resource map includes regional resource information and forest grade. Regional resource information includes tree species, tree density, tree height, tree canopy density, soil conditions, and topography in different regions. The forest grade is determined based on the Kraft tree growth classification method.

[0053] It is understandable that the area of ​​degraded Masson pine forest to be studied can be determined first, that is, the area of ​​degraded Masson pine forest for which a forest resource map needs to be produced.

[0054] Sample plots can be selected through field surveys to investigate the degraded Masson pine forest area. In the selected sample plots, record the tree species, density and height of each plot. Dendrometers, total stations, laser rangefinders and other tools can be used for measurement.

[0055] The density of trees can be calculated by field observation, canopy projection or taking photos of tree canopies with a fisheye lens and analyzing them. The soil layer can be analyzed by collecting soil samples and analyzing the soil thickness, texture, fertility, etc. The topography can be measured by using GPS equipment to measure the terrain elevation and combine it with digital elevation model (DEM) data to obtain detailed terrain information.

[0056] Of course, forest resource information in degraded Masson pine forest areas can also be acquired and processed through remote sensing data.

[0057] For example, satellite images or aerial photographs can be obtained to identify tree canopy cover and terrain features. Remote sensing image processing software (such as ENVI, ERDASIMAGINE) can be used for preprocessing, including geometric correction, atmospheric correction, and image stitching.

[0058] On this basis, forest resource maps can be established through the GIS platform. Projects can be created in GIS software (such as ArcGIS, QGIS) and databases can be established to store and manage various data.

[0059] It is understandable that field survey data, remote sensing images and terrain data can be imported into the GIS platform, and data from different sources can be spatially aligned and projected to ensure that they match in the same coordinate system.

[0060] For tree species, density and height, an attribute table can be established in GIS to record the tree species, density and height in each area.

[0061] For tree canopy density, the canopy density of each area can be calculated using classification and segmentation techniques based on remote sensing images and field data.

[0062] Soil and terrain data can be visualized according to soil layer conditions and terrain topography, and displayed through interpolation and graded rendering.

[0063] The Kraft tree classification method is used for tree grade assessment. Based on the Kraft tree classification method, the trees in the field survey data can be classified into level I (dominant trees), level II (sub-dominant trees), level III (medium trees), level IV (suppressed trees) and level V (dying trees).

[0064] In the GIS platform, corresponding grades can be assigned to the trees in each area, and different colors or symbols can be used to represent each grade.

[0065] Furthermore, using the mapping function of the GIS platform, all data can be integrated into a forest resource map, including regional resource information (tree species, density, height, canopy density, soil conditions and topography) and forest grades.

[0066] In this implementation, by using surveying and mapping technology and GIS platform, a detailed forest resource map of degraded Masson pine forests can be established, thereby providing strong support for forestry management and decision-making.

[0067] Step 120: Determine a first logging area for logging based on the forest resource map.

[0068] The first felling area includes the general felling area and the target forest window and forest belt area; the general felling area is determined based on the forest grade, and the target forest window and forest belt area is determined based on the regional resource information.

[0069] By using the tree grade data on the forest resource map, the tree grade in each area can be evaluated, among which grade V wood, grade IV wood and some grade III wood can be given priority for logging.

[0070] For example, areas with lower grade trees (such as grade V and grade IV) can be marked as general logging areas. Areas with grade I and grade II trees should be avoided (unless special circumstances allow logging of individual grade II trees of pine). According to the principle of general logging, ensure that the selection of general logging areas meets the requirements of ecological sustainability and avoids destroying the ecological balance of the forest.

[0071] On this basis, the resource distribution in each region is evaluated according to the regional resource information on the forest resource map.

[0072] Areas with flat terrain, sparse trees and poor growth can be selected as logging areas for forest windows and forest belts, avoiding steep slopes (slope above 36°), ecologically fragile areas and areas prone to soil erosion.

[0073] Appropriately prune the trees around the forest gaps to create suitable space for replanting of broad-leaved tree species.

[0074] The selection of forest belts can be done in areas with relatively high forest density, generally poor tree growth, and relatively low density, avoiding Class I and Class II trees. The opening belts should be selected in flat areas or terraces distributed along contour lines as much as possible.

[0075] Similarly, appropriate pruning of retained trees at the edge of forest belts can create suitable space for replanting of broad-leaved tree species.

[0076] The data of the general harvesting area and the target forest window belt area can be integrated into a map to form the first harvesting area. Then, the first harvesting area is verified on site to ensure that the selected area meets the actual situation and harvesting requirements.

[0077] In some embodiments, forest gap areas are determined in the following manner.

[0078] The candidate forest gaps and forest belts can be determined based on the density of trees, tree height, tree canopy density and topography in different areas. On this basis, the target forest gaps and forest belts can be determined from the candidate forest gaps and forest belts based on the preset area conditions and density conditions of the forest gaps and forest belts; the area conditions are used to limit the area of ​​a single forest gap and forest belt; the density conditions are used to limit the total number of forest gaps and the total area of ​​forest belts.

[0079] Specifically, based on the density, height and canopy density of trees, areas with lower density, lower height and lower canopy density can be selected as preliminary candidate areas. Using topographic data, areas with relatively flat terrain and suitable soil conditions can be selected.

[0080] Area conditions and density conditions can be set according to the regional climate conditions and water and soil conditions.

[0081] For example, the area condition of a forest window can be that the projection area of ​​a single forest window should be between 60 square meters and 80 square meters. The area condition of a forest belt can be that the width of a newly opened forest belt is generally 10 meters to 15 meters, the length does not exceed 45 meters, the projection area of ​​a single forest belt does not exceed 1 mu, and the total area does not exceed 10% of the plot area.

[0082] The gap density condition can be that the number of newly opened gaps per acre of forest land does not exceed 1. The belt density condition can be that appropriate spacing is maintained between multiple belts to ensure that the total area of ​​the belts does not exceed the specified ratio.

[0083] Based on the preliminary selected candidate forest gap belt areas, the forest gap area condition is applied to select areas that meet the requirements for the single forest gap area. Then the forest gap density condition is applied to ensure that the number of newly opened forest gaps per acre of forest land does not exceed 1 to avoid over-logging.

[0084] Similarly, based on the initially selected candidate forest gaps and belts, the belt area condition is applied to select areas that meet the requirements for the width and length of a single belt. The belt density condition is then applied to ensure that the total area of ​​the belt does not exceed 10% of the plot area and that the appropriate spacing between belts is maintained.

[0085] Step 130, determine the area and location of each first felling area, and perform buffer zone analysis on each first felling area to obtain the buffer zone corresponding to each first felling area, analyze the buffer zone corresponding to each first felling area through the adjacency matrix algorithm, and screen out the second felling area from each first felling area.

[0086] The area of ​​the second felling area is greater than the area threshold and the distance from any of the first felling areas is greater than the distance threshold.

[0087] In this embodiment, the specific location and area data of each felling area can be obtained according to the forest resource map and the first felling area determined in the above steps.

[0088] Area calculation: You can use the measurement tools of the GIS platform to calculate the area of ​​each first felling area. Record the calculation results in the attribute table to ensure that each felling area has clear area data, and mark the location of each first felling area on the GIS platform, using coordinate points or polygons to ensure that the location data of each area is accurate.

[0089] On this basis, eligible second logging areas can be further screened.

[0090] First, you need to define the filter conditions, that is, set a minimum area threshold for the second felling area. The area threshold can be set to a specific value to ensure that the second felling area is large enough, and set a minimum distance threshold between the second felling area and any of the first felling areas. The distance threshold can be set to a specific value to ensure that there is enough spacing between the felling areas, which are far from the felling path of the area that can be felled.

[0091] In some embodiments, a buffer zone analysis is performed on each first felling area to obtain a buffer zone corresponding to each first felling area, a target plot is screened from the buffer zone corresponding to each first felling area based on an adjacency matrix algorithm, and the first felling area adjacent to the target plot is determined as the second felling area, including: performing a buffer zone analysis on each first felling area based on a distance threshold to obtain a buffer zone corresponding to each first felling area; analyzing the buffer zone corresponding to each first felling area within the distance threshold based on the adjacency matrix algorithm, and determining the first felling area whose buffer zone corresponding to the distance threshold does not overlap with any first felling area and whose area is greater than the area threshold as the second felling area.

[0092] The buffer analysis can be performed on each first felling area using the buffer tool in the GIS software. The distance threshold of the buffer can be set to generate a buffer area for each first felling area. The size of the buffer area can be set according to the work requirements of felling. The size of each buffer area can be a size that is conducive to a single felling. For example, a single felling buffer area can be set to an area close to the area threshold size, and there are multiple continuous buffer areas around each first felling area to surround the first felling area. The spatial analysis tool of the GIS software can be used to calculate the area of ​​each buffer area.

[0093] On this basis, an adjacency matrix can be established. The adjacency relationship between each buffer area and other buffer areas can be calculated to establish an adjacency matrix. The elements in the matrix indicate whether two buffer areas are adjacent.

[0094] Based on the adjacency matrix algorithm, the buffer areas corresponding to each first felling area within the distance threshold are analyzed, and the first felling areas whose buffer areas within the distance threshold do not overlap with any first felling area and whose areas are greater than the area threshold are determined as second felling areas. Areas that overlap with the current first felling area can be excluded from these buffer areas, so that first felling areas that are relatively remote and more isolated than other first felling areas can be obtained.

[0095] On this basis, the first felling area with an area larger than the set threshold is further screened out according to the area threshold and then used as the second felling area.

[0096] All eligible second felling areas may be integrated into a new map to form a second felling area layer, for example, through the layer management and output functions of GIS software.

[0097] In this embodiment, the areas with an area greater than the area threshold are screened out from all the first felling areas, which can be achieved through the query and filtering functions of the GIS software. For each initially screened area, its distance from all other first felling areas is calculated. The spatial analysis tools in the GIS software (such as buffer analysis, distance calculation tools) can be used to measure the distance. From the initially screened areas, the areas whose distance from any first felling area is greater than the distance threshold are screened out. Finally, the qualified second felling areas are integrated into a new map to form a second felling area layer.

[0098] The selected second felling area can be verified on site to ensure that the selected area meets the actual situation and felling requirements.

[0099] In this embodiment, by setting the area and distance thresholds, a sufficiently large felling area can be screened out. At the same time, the distance from other first felling areas indicates that the felling route of the current area is relatively complicated, and there will be greater felling difficulty and felling cost. On this basis, by determining other fellable areas around the current area, all fellable trees can be felled as much as possible in this felling operation, accelerating the replacement of forest resources and saving felling and subsequent replanting costs.

[0100] Step 140: Based on the forest grade of trees in the area connected to the second felling area and the regional resource information, a third felling area for felling is screened from the area connected to the second felling area.

[0101] It is understandable that adjacent areas that meet regional resource conditions (such as tree density, tree height, canopy density and topography) can be screened out first, and then further screened within these areas according to forest grade conditions (such as giving priority to felling grade V and grade IV trees), and finally determine the third felling area for felling.

[0102] In some embodiments, adjacent areas may be first screened out based on forest grade conditions, and then further screened based on regional resource conditions to determine a third logging area for logging.

[0103] In some embodiments, Figure 2 As shown, step 140: based on the forest grade of trees in the area connected to the second felling area and the regional resource information, a third felling area for felling is screened from the buffer area connected to the second felling area, which may include steps 141 and 142.

[0104] Step 141 , based on the tree grades of the trees in the buffer area connected to the second felling area, select candidate areas from the buffer area connected to the second felling area.

[0105] Step 142: Based on the regional resource information of each candidate area, a third felling area for felling is obtained by screening from each candidate area.

[0106] Specifically, detailed regional resource information of each candidate area can be obtained, including tree density, tree height, canopy density, soil layer conditions, and topography.

[0107] On this basis, define the screening conditions, that is, set the preset regional resource conditions. For example, you can choose areas with low tree density, moderate tree height, moderate canopy density, flat terrain and good soil conditions.

[0108] On the GIS platform, the spatial analysis tool is used to identify the area connected to the second felling area. The forest grade information and regional resource information are imported into the GIS platform, and the query function of the GIS platform is used to screen out the candidate areas according to the priority felling forest grade conditions.

[0109] In some embodiments, based on the regional resource information of each candidate area, a third felling area for felling is obtained by screening from each candidate area, including the following process.

[0110] Each item in the regional resource information of each candidate area can be evaluated to obtain a regional characteristic value, and a weight value can be assigned to each item. On this basis, the total regional characteristic value of each candidate area can be obtained based on the regional characteristic value and weight value of each item in the regional resource information of each candidate area. Finally, based on the total regional characteristic value of each candidate area, the third felling area for felling is screened from each candidate area.

[0111] The evaluation criteria of regional characteristic values ​​can be formulated according to the importance of each resource information. For example, the lower the tree density, the higher the regional characteristic value, and the flatter the terrain, the higher the regional characteristic value.

[0112] Different weight values ​​are assigned to each resource information based on its impact on the harvesting decision. For example, the weight of topography may be higher than that of tree species.

[0113] Evaluate each resource information of each candidate area to obtain the regional characteristic value of each item, and then assign a corresponding weight value to each score. Calculate the regional characteristic value and weight value of each resource information of each candidate area to obtain the comprehensive total regional characteristic value.

[0114] On this basis, according to the total regional characteristic values ​​of each candidate area, the third felling area that meets the preset conditions is selected, and the area with the higher total regional characteristic value is selected as the third felling area. Through quantitative scoring and weighting, each candidate area is scientifically evaluated to ensure the rationality and accuracy of the felling area.

[0115] In this embodiment, by screening out the area connected to the second felling area and suitable for felling, more trees can be felled at one time, reducing the frequency of multiple fellings, and at the same time, the felling area and felling route can be optimized, the frequency of dispatching machinery and manpower can be reduced, and the felling and transportation costs can be reduced. At the same time, multiple disturbances to the forest land can be reduced, and the forest land structure can be protected.

[0116] In this process, centralized logging can accelerate the replacement and renewal of degraded forests. Centralized logging areas can make logging and subsequent replanting more efficient, reducing the frequency of decentralized logging and replanting and improving the efficiency of logging and replanting.

[0117] Step 150, based on at least one of the first felling area, the second felling area and the third felling area, determine the target felling area for actual felling, and determine the replanting area in combination with the forest resource map.

[0118] According to actual needs and felling targets, one or more areas can be selected from the first felling area, the second felling area and the third felling area as the target felling area for actual felling. Then, the regional resource information and tree grades on the forest resource map are used to analyze the surrounding areas of the target felling area and determine the areas that need to be replanted.

[0119] In some embodiments, based on at least one of the first felling area, the second felling area, and the third felling area, a target felling area for actual felling is determined, and in combination with the forest resource map, a replanting area is determined, including: determining the target felling area based on at least one of the first felling area, the second felling area, and the third felling area; based on the forest resource map, screening out forest clearings with a canopy density less than a canopy density threshold; determining the replanting area based on the forest clearings and the target felling area.

[0120] One or more areas may be selected from the first felling area, the second felling area and the third felling area as the target felling area for actual felling in combination with actual demand and felling target.

[0121] In the forest resource map, areas with a canopy density lower than the preset canopy density threshold can be selected as forest clearings. These clearings can provide space for replanting, ensuring that new trees have enough sunlight and growth space.

[0122] The target felling area and the selected forest clearings may be combined to determine the final replanting area. For example, forest clearings surrounding the target felling area may be selected for replanting.

[0123] Specifically, the data of the first logging area, the second logging area, and the third logging area may be integrated into the GIS platform.

[0124] The canopy density threshold can be set according to the actual situation, for example, 0.4. In the GIS platform, areas with a canopy density lower than the set threshold are screened out, and these areas can be used as clearings for replanting new trees.

[0125] In the GIS platform, the target felling area and the selected forest clearings are overlaid and analyzed to determine the final replanting area. For example, the forest clearings around the target felling area are selected, or suitable clearings are selected within the target felling area for replanting. Through scientific screening and evaluation, the selection of felling areas and replanting areas is ensured to be scientific and reasonable, maximizing resource utilization efficiency.

[0126] In some embodiments, based on at least one of the first felling area, the second felling area and the third felling area, a target felling area is determined, including: determining the area of ​​the first felling area except the second felling area, the second felling area and the third felling area as the target felling area.

[0127] Determining the area other than the second felling area in the first felling area, the second felling area and the third felling area as target felling areas can ensure that overlapping calculations are avoided when determining the target felling areas, thereby optimizing the felling plan.

[0128] Merging the above-mentioned areas to form a complete and coherent target felling area can ensure the efficiency and consistency of felling operations, reduce scattered operations, reduce felling costs and difficulty, and improve overall felling benefits.

[0129] Step 160, determining replanting measures for the replanting area based on the regional resource information of the replanting area.

[0130] It is understandable that it is necessary to collect and analyze information on soil, topography, climate, etc. in the replanting area, select suitable tree species and planting methods, formulate detailed planting plans and post-maintenance management measures, and establish a monitoring and evaluation mechanism to ensure the survival rate and healthy growth of newly planted trees, promote ecological restoration and sustainable development of forest resources.

[0131] In some embodiments, replanting measures include the types of trees to be replanted, the method of clearing the forest land, the planting density, the planting method, and the maintenance measures.

[0132] Select tree species suitable for growth according to the soil, topography and climate conditions of the replanting area. Give priority to local tree species to improve survival rate and ecological adaptability. Where possible, select multiple tree species for replanting to increase the diversity and stability of the ecosystem.

[0133] Remove weeds in the replanting area to reduce competition for nutrients and water for the newly planted trees. Remove dead trees and diseased trees in the area to prevent the spread of pests and diseases and provide sufficient growth space for the newly planted trees.

[0134] Soil improvements can be made as needed, such as adding fertilizers, adding organic matter, or adjusting soil pH to improve soil fertility and suitability.

[0135] According to the characteristics of the tree species and the resource information of the region, a reasonable planting density can be determined to avoid overcrowding or oversparseness. In specific operations, the planting density can be flexibly adjusted according to the terrain and actual conditions to ensure that the trees have enough space to grow.

[0136] According to the tree species and soil conditions, the depth and width of the pit can be determined to ensure that the tree's roots can fully extend. Appropriate fertilization and watering are carried out during planting to provide the nutrients and water required for initial growth. The appropriate planting season can be selected, usually in spring or autumn, to increase the survival rate. Especially in the dry season, regular watering can be used to ensure that the tree has enough water.

[0137] Of course, you can also regularly check the health of trees, prevent and treat pests and diseases in a timely manner, and protect the healthy growth of newly planted trees. Then, by properly pruning trees, you can promote beautiful tree shapes and healthy growth; weed regularly to reduce competition for trees. According to the growth of trees and soil fertility, topdressing should be carried out in a timely manner to supplement necessary nutrients.

[0138] Through the above-mentioned specific replanting measures, the high survival rate and healthy growth of newly planted trees can be ensured, promoting the recovery and sustainability of the ecosystem.

[0139] According to a method for replanting and restoring a degraded Masson pine forest provided by an embodiment of the present invention, a forest resource map is established to record regional resource information and tree grades in detail, and each felling area is directly screened in stages based on the regional resource information and tree grades, rather than just considering the infected area. The target felling area can be determined more reasonably and step by step, and the replanting area can be accurately determined in combination with the forest resource map to maximize the use of vacant land resources after felling, accelerate the renewal of forest resources, improve the utilization efficiency of forest resources, ensure the rationality of the felling area and distance, and reasonably centralize the distribution of the felling and replanting areas, which can reduce the frequency, difficulty and cost of felling and replanting and improve work efficiency.

[0140] The following is a description of a Masson pine degraded forest replanting and restoration device provided by the present invention. The Masson pine degraded forest replanting and restoration device described below and the Masson pine degraded forest replanting and restoration method described above can correspond to each other.

[0141] like Figure 3 As shown, a replanting and restoration device for degraded Masson pine forests according to an embodiment of the present invention mainly includes a resource loading module 310 , a first processing module 320 , a second processing module 330 , a third processing module 340 , a fourth processing module 350 and a fifth processing module 360 ​​.

[0142] The resource loading module 310 is used to determine the forest resource map corresponding to the degraded Masson pine forest;

[0143] The first processing module 320 is used to determine a first felling area for felling based on the forest resource map; the first felling area includes a general felling area and a target forest window and forest belt area; the general felling area is determined based on the tree grade, and the target forest window and forest belt area is determined based on regional resource information;

[0144] The second processing module 330 is used to determine the area and position of each first felling area, and perform buffer zone analysis on each first felling area to obtain the buffer zone corresponding to each first felling area, analyze the buffer zone corresponding to each first felling area by using an adjacency matrix algorithm, and select the second felling area from each first felling area; the area of ​​the second felling area is greater than the area threshold and the distance from any first felling area is greater than the distance threshold;

[0145] The third processing module 340 is used to select a third felling area for felling from the buffer area connected to the second felling area based on the forest grade of the trees in the buffer area connected to the second felling area and the regional resource information;

[0146] The fourth processing module 350 is used to determine the target felling area for actual felling based on at least one of the first felling area, the second felling area and the third felling area, and determine the replanting area in combination with the forest resource map;

[0147] The fifth processing module 360 ​​is used to determine the replanting measures of the replanting area based on the regional resource information of the replanting area.

[0148] According to a replanting and restoration device for degraded Masson pine forests provided by an embodiment of the present invention, a forest resource map is established to record regional resource information and tree grades in detail, and each felling area is directly screened in stages based on the regional resource information and tree grades, rather than just considering the infected area. The target felling area can be determined more reasonably and step by step, and the replanting area can be accurately determined in combination with the forest resource map to maximize the use of vacant land resources after felling, accelerate the renewal of forest resources, improve the utilization efficiency of forest resources, ensure the rationality of the felling area and distance, and reasonably centralize the distribution of the felling and replanting areas, which can reduce the frequency, difficulty and cost of felling and replanting and improve work efficiency.

[0149] Figure 4 An example of a physical structure diagram of an electronic device is shown in FIG. Figure 4 As shown, the electronic device may include: a processor 410, a communication interface 420, a memory 430 and a communication bus 440, wherein the processor 410, the communication interface 420 and the memory 430 communicate with each other through the communication bus 440. The processor 410 may call the logic instructions in the memory 430 to execute the replanting and restoration method for the degraded Masson pine forest, the method comprising: determining a forest resource map corresponding to the degraded Masson pine forest; determining a first felling area for felling based on the forest resource map; the first felling area includes a general felling area and a target forest window belt area; the general felling area is determined based on the tree grade, and the target forest window belt area is determined based on the regional resource information; determining the area and position of each first felling area, and performing a buffer zone analysis on each first felling area to obtain a buffer zone corresponding to each first felling area, and performing an adjacency matrix algorithm on the buffer zone corresponding to each first felling area. The buffer area is analyzed, and the second felling area is screened out from each first felling area; the area of ​​the second felling area is greater than the area threshold and the distance from any first felling area is greater than the distance threshold; based on the forest grade of trees in the area connected to the second felling area and the regional resource information, a third felling area for felling is screened out from the buffer area connected to the second felling area; based on at least one of the first felling area, the second felling area and the third felling area, the target felling area for actual felling is determined, and in combination with the forest resource map, the replanting area is determined; based on the regional resource information of the replanting area, the replanting measures for the replanting area are determined.

[0150] In addition, the logic instructions in the above-mentioned memory 430 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0151] On the other hand, the present invention also provides a computer program product, which includes a computer program. The computer program can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the replanting and restoration method for the degraded Masson pine forest provided by the above-mentioned methods, and the method includes: determining a forest resource map corresponding to the degraded Masson pine forest; based on the forest resource map, determining a first felling area for felling; the first felling area includes a general felling area and a target forest window and forest belt area; the general felling area is determined based on the tree grade, and the target forest window and forest belt area is determined based on the regional resource information; determining the area and location of each first felling area, and performing a buffer zone analysis on each first felling area to obtain each first felling area. A buffer area corresponding to a felling area, analyzing the buffer areas corresponding to each first felling area through an adjacency matrix algorithm, and selecting a second felling area from each first felling area; the area of ​​the second felling area is greater than an area threshold and the distance from any first felling area is greater than a distance threshold; based on the forest grade of trees in an area connected to the second felling area and regional resource information, selecting a third felling area for felling from the buffer area connected to the second felling area; based on at least one of the first felling area, the second felling area and the third felling area, determining a target felling area for actual felling, and determining a replanting area in combination with a forest resource map; determining replanting measures for the replanting area based on the regional resource information of the replanting area.

[0152] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to execute the replanting and restoration method for degraded Masson pine forests provided by the above-mentioned methods, the method comprising: determining a forest resource map corresponding to the degraded Masson pine forest; based on the forest resource map, determining a first felling area for felling; the first felling area comprises a general felling area and a target forest window and forest belt area; the general felling area is determined based on the tree grade, and the target forest window and forest belt area is determined based on the regional resource information; determining the area and location of each first felling area, and performing a buffer zone analysis on each first felling area to obtain a buffer zone corresponding to each first felling area, and The adjacency matrix algorithm analyzes the buffer areas corresponding to each first felling area, and selects the second felling area from each first felling area; the area of ​​the second felling area is greater than the area threshold and the distance from any first felling area is greater than the distance threshold; based on the forest grade of trees in the area connected to the second felling area and the regional resource information, the third felling area for felling is selected from the buffer area connected to the second felling area; based on at least one of the first felling area, the second felling area and the third felling area, the target felling area for actual felling is determined, and in combination with the forest resource map, the replanting area is determined; based on the regional resource information of the replanting area, the replanting measures for the replanting area are determined.

[0153] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0154] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0155] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for replanting and restoring degraded Masson pine forests, characterized in that: include: Determine the forest resource map corresponding to the degraded Masson pine forest; Based on the forest resource map, determining a first logging area for logging; The first logging area includes the general logging area and the target forest window belt area; The general mining area is determined based on the forest grade, and the target forest window and forest belt area is determined based on regional resource information; Determine the area and location of each first felling area, and perform buffer zone analysis on each first felling area to obtain the buffer area corresponding to each first felling area, analyze the buffer area corresponding to each first felling area by using an adjacency matrix algorithm, and select the second felling area from each first felling area; the area of ​​the second felling area is greater than the area threshold and the distance from any first felling area is greater than the distance threshold; Based on the forest grade and regional resource information of the trees in the area connected to the second felling area, a third felling area for felling is obtained by screening from the buffer area connected to the second felling area; Based on at least one of the first felling area, the second felling area and the third felling area, determine the target felling area for actual felling, and determine the replanting area in combination with the forest resource map; Based on the regional resource information of the replanting area, replanting measures for the replanting area are determined.

2. The method for replanting and restoring degraded Masson pine forests according to claim 1, characterized in that: The step of performing a buffer zone analysis on each first felling area to obtain a buffer zone corresponding to each first felling area, screening a target plot from the buffer zone corresponding to each first felling area based on an adjacency matrix algorithm, and determining a first felling area adjacent to the target plot as the second felling area includes: Performing a buffer zone analysis on each first felling area based on a distance threshold to obtain a buffer zone corresponding to each first felling area; Based on the adjacency matrix algorithm, the buffer areas corresponding to each first felling area within the distance threshold are analyzed, and the first felling area whose buffer area within the distance threshold does not overlap with any first felling area and whose area is greater than the area threshold is determined as the second felling area.

3. The method for replanting and restoring degraded Masson pine forests according to claim 1, characterized in that: Based on the forest grade and regional resource information of the trees in the area connected to the second felling area, a third felling area for felling is obtained by screening from the buffer area connected to the second felling area, including: Based on the forest grade of the trees in the buffer area connected to the second felling area, selecting each candidate area from the buffer area connected to the second felling area; Based on the regional resource information of each candidate area, a third felling area for felling is screened from each candidate area.

4. The method for replanting and restoring degraded Masson pine forests according to claim 3, characterized in that: The method of selecting a third felling area for felling from each candidate area based on the regional resource information of each candidate area includes: Each item of regional resource information of each candidate area is evaluated to obtain a regional characteristic value, and a weight value is assigned to each item; Based on the regional characteristic value and weight value of each item in the regional resource information of each candidate area, the total regional characteristic value of each candidate area is obtained respectively; Based on the total regional characteristic value of each candidate area, a third felling area for felling is screened out from each candidate area.

5. The method for replanting and restoring degraded Masson pine forests according to claim 1, characterized in that: The step of determining the target felling area for actual felling based on at least one of the first felling area, the second felling area, and the third felling area, and determining the replanting area in combination with the forest resource map, includes: Determining the target felling area based on at least one of the first felling area, the second felling area, and the third felling area; Based on the forest resource map, forest clearings with a canopy density less than a canopy density threshold are screened out; The replanting area is determined based on the forest clearing and the target felling area.

6. The method for replanting and restoring degraded Masson pine forests according to claim 1, characterized in that: The determining the target felling area based on at least one of the first felling area, the second felling area, and the third felling area comprises: The area of ​​the first felling area excluding the second felling area, the second felling area, and the third felling area are determined as the target felling area.

7. The method for replanting and restoring degraded Masson pine forests according to claim 1, characterized in that: The forest gap area is determined by: Determine candidate forest gaps based on tree density, tree height, tree canopy density, and topography in different areas; Determine the target forest gap forest belt area from each candidate forest gap forest belt area based on the preset forest gap forest belt area condition and density condition; The area condition is used to limit the area of ​​a single forest gap and a forest belt; the density condition is used to limit the total number of forest gaps and the total area of ​​a forest belt.

8. A replanting and restoration device for degraded Masson pine forests, characterized in that: include: Resource loading module, used to determine the forest resource map corresponding to the degraded Masson pine forest; A first processing module is used to determine a first felling area for felling based on the forest resource map; the first felling area includes a general felling area and a target forest window belt area; The general mining area is determined based on the forest grade, and the target forest window and forest belt area is determined based on regional resource information; The second processing module is used to determine the area and location of each first felling area, and perform buffer zone analysis on each first felling area to obtain the buffer zone corresponding to each first felling area, analyze the buffer zone corresponding to each first felling area by using an adjacency matrix algorithm, and select the second felling area from each first felling area; the area of ​​the second felling area is greater than the area threshold and the distance from any first felling area is greater than the distance threshold; A third processing module, configured to select a third felling area for felling from a buffer area connected to the second felling area based on the forest grade of trees in the area connected to the second felling area and regional resource information; A fourth processing module, for determining a target felling area for actual felling based on at least one of the first felling area, the second felling area and the third felling area, and determining a replanting area in combination with the forest resource map; The fifth processing module is used to determine the replanting measures of the replanting area based on the regional resource information of the replanting area.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and capable of running on the processor, characterized in that: When the processor executes the program, the method for replanting and restoring degraded Masson pine forests as described in any one of claims 1 to 7 is implemented.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for replanting and restoring degraded Masson pine forests as described in any one of claims 1 to 7 is implemented.

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