Coastal protection forest belt transformation method based on forest state optimization

Abstract

The invention discloses a coastal protection forest belt transformation method based on forest state optimization. According to the invention, through systematic technology integration and ecological adaptability design, the comprehensive function of the protective forest belt is significantly improved. On the ecological protection level, a gradient windproof barrier and a sand stabilization network are constructed through a three-dimensional layered structure and dynamic tree species configuration. The synergistic effect of the biodegradable grid and the microbial agent accelerates soil improvement, promotes rapid field planting of vegetation roots, and effectively inhibits wind erosion desertification and water and soil loss. The intelligent monitoring system tracks the health state of the forest belt in real time, and in combination with disaster adaptability design, the forest belt can dynamically respond to extreme climates such as typhoon and drought, and the self-repairing capacity is formed. The three-dimensional space layout and the strategy of properly reserving forest space further enhance the biological diversity, provide migration channels for wild animals and plants, and realize long-acting stability of ecological functions.

Description

Technical Field

[0001] This invention belongs to the field of shelterbelt transformation technology, specifically a method for transforming coastal shelterbelts based on forest ecology optimization. Background Technology

[0002] Coastal shelterbelt renovation refers to engineering measures that update and optimize existing shelterbelts in coastal areas to enhance their functions in windbreak and sand fixation, dike protection, and ecological environment improvement. Traditional coastal shelterbelts may suffer from problems such as monoculture, simple structure, aging, and degradation, making them difficult to adapt to new ecological environment requirements. Renovation projects typically include tree species adjustment, shelterbelt structure optimization, and degraded stand restoration. By introducing wind-resistant, salt-tolerant native tree species and superior introduced tree species, a multi-layered shelterbelt structure combining trees, shrubs, and grasses is constructed to improve the stability and ecological function of the shelterbelt. Simultaneously, scientific tending and management measures are adopted based on actual conditions to promote healthy shelterbelt growth, enhance their ability to resist natural disasters such as typhoons and storm surges, protect the lives and property of people and the ecological security of coastal areas, and promote the sustainable economic and social development of coastal areas.

[0003] However, existing coastal shelterbelt technologies generally suffer from drawbacks such as limited ecological functions, insufficient post-disaster resilience, and low levels of social participation. Traditional methods rely on monoculture planting, which has limited effectiveness in preventing wind erosion and sand fixation, and is susceptible to pests and diseases. Soil improvement methods are outdated, resulting in long vegetation recovery cycles. The lack of intelligent monitoring and dynamic control mechanisms makes it difficult to respond promptly to extreme weather events. Landscape design neglects tourism needs, and the economic value of the forest belts is not fully explored. Post-disaster restoration relies on manual intervention, which is inefficient and costly, and community management mechanisms are loose, making it difficult to form a long-term governance loop. Summary of the Invention

[0004] The purpose of this invention is to provide a method for transforming coastal shelterbelts based on forest ecology optimization in order to solve the problems mentioned above.

[0005] The technical solution adopted in this invention is as follows: a method for transforming coastal shelterbelts based on forest ecology optimization, the method comprising the following steps:

[0006] S1: By combining drone remote sensing with ground quadrat surveys, indicators such as the proportion of dying trees, canopy closure, and distribution of harmful organisms are quantified. Based on AI algorithms, forest belt degradation levels are classified, and highly vulnerable areas and priority areas for renovation are identified.

[0007] S2: Establish a gene bank of coastal suitable plants, combine environmental factors such as soil salinity and wind speed gradient, and use machine learning models to dynamically recommend the optimal combination of native tree species (such as coconut, hibiscus, large-leaved terminalia, casuarina, and tung tree). Introduce varieties with stress-resistant genes to enhance salt and alkali tolerance and wind resistance.

[0008] S3: Employs a layered, three-dimensional planting technique, with the top layer planted with wind-resistant trees (such as coconut palms and casuarina trees), the middle layer with umbrella-shaped canopy trees (such as large-leaved terminalia and yellow hibiscus), and the bottom layer densely planted with shrubs and grasses (such as pittosporum tobira and pandanus) to form a gradient windbreak barrier while leaving appropriate forest space.

[0009] S4: Appropriately bury biodegradable fiber grids in the tree planting pits in the transformation area. Fill the grids with coconut shell fiber and microbial agents, and simultaneously implant sensors to monitor root growth and soil moisture in real time. Through the grid's three-in-one effect of sand fixation, water retention and root promotion, the ecological restoration process is accelerated.

[0010] S5: Set up adjustable windbreak fences and wavy forest belts, dynamically adjust the density of the forest belts based on typhoon path prediction data, and add elastic plant buffer zones (such as Pittosporum tobira, Pandanus, vines, etc.) on the windward side to reduce wind erosion damage.

[0011] S6: Increase the visibility of the sea and scenery along the island's ring road, appropriately nurture and repair existing trees such as casuarina and understory shrubs that obstruct the view, and replant flowering and foliage plants (coconut, hibiscus, large-leaved terminalia, tamarind, kapok, rain tree, flame tree, red-flowered bauhinia, frangipani, sea privet, bougainvillea, etc.) as needed to form a landscape corridor with varying density, achieving a dual improvement in ecological protection and visual landscape.

[0012] S7: Introduce blockchain technology to establish a forest belt management points system to encourage surrounding villagers to participate in replanting, patrolling and data collection. Points can be redeemed for ecotourism revenue dividends to promote sustainable governance.

[0013] S8: Deploy IoT devices and satellite remote sensing to track indicators such as windbreak and sand fixation, carbon sequestration, and soil retention rate of forest belts in real time, generate digital twin models, and optimize and iterate transformation plans.

[0014] S9: Establish disaster emergency response plans, conduct regular simulated storm drills, and rapidly replant seedlings in conjunction with gene bank reserves to ensure that forest belts can be restored within 48 hours after extreme weather events.

[0015] In a preferred embodiment, in step S1, a drone equipped with a multispectral camera and lidar is used to perform centimeter-level aerial scanning of the coastal shelterbelt. The flight altitude is set at 100 meters, and the coverage width is 200 meters, generating high-resolution orthophotos and 3D point cloud data. Combined with remote sensing imagery, zoning processing and field surveys are conducted. Standard plot and whole-forest survey methods are used to identify the number of dead, fallen, broken, and crooked trees, and the number of dead and fallen trees, as well as their pest and disease characteristics, are recorded for each tree. The data is clustered using an AI platform, and a random forest algorithm is used to identify the forest belt degradation level, outputting heat maps to mark severely degraded, moderately degraded, and lightly degraded areas. For example, if a certain area has more than 15% of its forest area damaged by a typhoon, the system automatically marks it as a priority area for restoration and generates a customized restoration plan. Severely degraded areas are defined as areas where the proportion of dead and dying trees is ≥40% or where forestry quarantine pests or severe typhoon damage occur, and forest ecology optimization should be prioritized.

[0016] In a preferred embodiment, in step S2, a suitability database for 32 coastal tree species, including coconut, hibiscus, and large-leaved terminalia, is constructed based on meteorological data and soil sampling analysis from the past 10 years. Soil salinity ranges from 0.8% to 2.5%, and pH values ​​range from 6.5 to 8.2. A machine learning model is used to simulate the wind resistance and ecological benefits of different tree species combinations, outputting an optimal mix such as 40% coconut, 30% hibiscus, 20% large-leaved terminalia, and 10% others. Wind resistance standards include a root depth of ≥1.5 meters and a crown projection area of ​​≤20 square meters. Planting is done using the pit-cultivation method, with pits 40-100 cm in diameter and 30-80 cm deep. A 10-20 cm layer of coconut husk fiber is laid at the bottom of each pit for water retention. After planting, black weed control fabric is used to suppress weeds, ensuring a survival rate of ≥95%.

[0017] In a preferred embodiment, in step S3, the middle layer is planted with large-leaved Terminalia catappa and Hibiscus syriacus, with a crown width of 3 to 8 meters and a plant spacing of 4 to 6 meters, forming a continuous windproof canopy. The bottom layer is densely planted with shrubs such as Pittosporum tobira and Pandanus tectorius, with a plant height of 0.5 to 1 meter, planted in a 0.3-meter by 0.3-meter grid, in clusters of 10 to 30 square meters each. Appropriate forest space or corridors are left, and shrubs, grasses, and vines are planted on both sides to form biological migration channels, which also facilitates future forest belt sightseeing. During construction, the coordinates of each seedling are marked using the BeiDou positioning system to ensure accurate placement of the three-dimensional structure.

[0018] In a preferred embodiment, in step S4, water-retaining and fertilizer-retaining substances are filled into the planting pits in the modified area.

[0019] In a preferred embodiment, in step S5, the forest belt is designed as a continuous wave shape with a wavelength of 150 meters and an arc radius of 30 meters at the turning point, reducing wind speed by 15% to 20%. A detachable galvanized steel fence, 2.5 meters high and with a porosity of 40%, is installed on the windward side. The fence spacing is dynamically adjusted according to typhoon warnings. The fence spacing is 5 meters when the wind force is less than or equal to level 10, and increased to 3 meters when it exceeds level 10. Vines, Pittosporum tobira, and Pandanus trees are planted at the base of the fence, with a spacing of 1 meter between plants. Within 48 hours after the disaster, a tracked replanting machine is activated to replant wind-resistant seedlings at a rate of 6 plants per minute, ensuring the forest belt function is restored within 72 hours.

[0020] In a preferred embodiment, in step S7, a blockchain-based management app is developed. Villagers log in via facial recognition to receive tasks. For every 10 coconut trees planted, a photo with a GPS watermark must be uploaded, earning 10 points; for each reported pest or disease with AI identification results, 5 points are awarded. Points can be redeemed at a 1:1 ratio for station vouchers or understory economic products such as tung oil. The system automatically reviews the data and uploads it to the blockchain for record-keeping, generating and publishing a monthly management report. In the pilot area, the point redemption rate reached 75% in the first year, resulting in an average annual income increase of 8,000 yuan for villagers.

[0021] In a preferred embodiment, in step S8, five LoRa IoT nodes are deployed per hectare, including soil three-parameter sensors with depths of 20 cm and 50 cm, an anemometer with an accuracy of ±0.1 m / s, and a 5-band multispectral camera; in order to monitor the effects of windbreak and sand fixation and soil and water conservation.

[0022] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0023] 1. This invention significantly enhances the comprehensive functions of protective forest belts through systematic technological integration and ecologically adaptive design. At the ecological protection level, a gradient windbreak and sand-fixing network is constructed through a three-dimensional layered structure and dynamic tree species configuration. The synergistic effect of biodegradable grids and microbial agents accelerates soil improvement, promotes rapid root establishment of vegetation, and effectively curbs wind erosion, desertification, and soil erosion. An intelligent monitoring system tracks the health status of the forest belt in real time, and combined with disaster-adaptive design, enables the forest belt to dynamically respond to extreme weather events such as typhoons and droughts, forming a self-repairing capability. The three-dimensional spatial layout and natural forest window preservation strategy further enhance biodiversity, provide migration corridors for wild flora and fauna, and achieve long-term stability of ecological functions.

[0024] 2. This invention deeply integrates ecological protection and tourism service needs. The transparent window design, combined with landscape plants, transforms traditional protective forests into visually appealing ecological corridors, enhancing the visitor experience and regional tourism attractiveness. A blockchain-enabled community co-management mechanism mobilizes residents' participation, forming a sustainable management cycle and promoting the coordinated development of understory economy and ecotourism. The resilient maintenance system, through rapid replanting and gene storage, significantly shortens the post-disaster restoration cycle and reduces economic losses. The overall solution balances ecological security, livelihood benefits, and landscape value, providing a replicable ecological-economic win-win paradigm for coastal areas. Attached Figure Description

[0025] Figure 1 This is a schematic diagram illustrating the process principle of the present invention. Detailed Implementation

[0026] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0027] Example:

[0028] Reference Figure 1 ,

[0029] A method for transforming coastal shelterbelts based on forest ecology optimization, comprising the following steps:

[0030] S1: By combining drone remote sensing with ground quadrat surveys, indicators such as the proportion of dying trees, canopy closure, and distribution of harmful organisms are quantified. Based on AI algorithms, forest belt degradation levels are classified, and highly vulnerable areas and priority areas for renovation are identified.

[0031] S2: Establish a gene bank of coastal suitable plants, combine environmental factors such as soil salinity and wind speed gradient, use machine learning models to dynamically recommend the optimal combination of native tree species (such as coconut, hibiscus, and large-leaved terminalia), and introduce varieties with stress-resistant genes to enhance salt and alkali tolerance and wind resistance.

[0032] S3: A layered, three-dimensional planting technique is adopted, with wind-resistant trees (such as coconut and casuarina) planted at the top layer, umbrella-shaped canopy trees (such as yellow hibiscus and large-leaved terminalia) planted in the middle layer, and dense shrubs and grasses (such as pittosporum and pandanus) planted at the bottom layer to form a gradient windbreak barrier and leave appropriate forest space.

[0033] S4: Biodegradable fiber grids are buried in the remediation area, filled with coconut shell fiber and microbial agents. Sensors are simultaneously implanted to monitor root growth and soil moisture in real time. By combining the three effects of sand fixation, water retention and root promotion through the grid, the ecological restoration process is accelerated.

[0034] S5: Set up adjustable windbreak fences and wavy forest belts, dynamically adjust the density of the forest belts based on typhoon path prediction data, and add elastic plant buffer zones (such as pandanus, hibiscus, vines, etc.) on the windward side to reduce wind erosion damage.

[0035] S6: Along the island ring road, increase the rate of sea and scenic views, nurture and repair the lower shrubs and grasses that obstruct the view, and replant flowering and foliage plants (coconut, hibiscus, large-leaved terminalia, tamarind, kapok, rain tree, flame tree, red-flowered bauhinia, frangipani, sea hibiscus, bougainvillea, etc.) to form a landscape corridor with varying density, achieving a dual improvement in ecological protection and landscape visual appeal.

[0036] S7: Introduce blockchain technology to establish a forest belt management points system to encourage surrounding villagers to participate in replanting, patrolling and data collection. Points can be redeemed for ecotourism revenue dividends to promote sustainable governance.

[0037] S8: Deploy IoT devices and satellite remote sensing to track indicators such as forest belt carbon sequestration and soil fixation rate in real time, generate digital twin models, and optimize and iterate transformation plans.

[0038] S9: Establish disaster emergency response plans, conduct regular simulated storm drills, and rapidly replant seedlings in conjunction with gene bank reserves to ensure that forest belts can be restored within 48 hours after extreme weather events.

[0039] In step S1, a drone equipped with a multispectral camera and lidar is used to perform centimeter-level aerial scanning of the coastal shelterbelt. The flight altitude is set at 100 meters, and the coverage width is 200 meters, generating high-resolution orthophotos and 3D point cloud data. Combined with remote sensing imagery, zoning processing and field surveys are conducted. Standard plot and whole-forest survey methods are used to identify the number of dead, fallen, broken, and crooked trees, recording the number of dead and fallen trees and their pest and disease characteristics for each tree. The data is then clustered using an AI platform, and a random forest algorithm is used to identify the forest belt degradation level, outputting heat maps marking severely degraded, moderately degraded, and lightly degraded areas. For example, if a certain area has more than 15% of its forest area damaged by a typhoon, the system automatically marks it as a priority area for restoration and generates a customized restoration plan. Severely degraded areas are defined as areas with a canopy density of less than or equal to 0.4 and a dead tree ratio of greater than or equal to 20%, requiring priority implementation of forest ecology optimization.

[0040] In step S2, based on nearly 10 years of meteorological data and soil sampling analysis, a suitability database for 32 coastal tree species, including coconut, hibiscus, and large-leaved terminalia, was constructed. Soil salinity ranged from 0.8% to 2.5%, and pH values ​​ranged from 6.5 to 8.2. Machine learning models were used to simulate the wind resistance and ecological benefits of different tree species combinations, outputting an optimal mix such as 40% coconut, 30% hibiscus, 20% large-leaved terminalia, and 10% others. Wind resistance standards included a root depth of ≥1.5 meters and a crown projection area of ​​≤20 square meters. The planting method employed a fish-scale pit preparation method, with pits 80 cm in diameter and 50 cm deep. A 20 cm layer of coconut husk fiber was laid at the bottom of each pit for water retention. After planting, black weed control fabric was used to suppress weeds, ensuring a survival rate of ≥95%.

[0041] In step S3, the middle layer is planted with Hibiscus syriacus and Terminalia catappa, with a canopy width of 8 to 10 meters and a plant spacing of 6 meters, forming a continuous windbreak canopy. The bottom layer is densely planted with Pittosporum tobira, with a plant height of 0.5 to 1 meter, planted in a 0.3 meter by 0.3 meter grid, in clusters of 10-20 square meters each. Natural corridors with a width of 10 to 15 meters are preserved in the forest gap areas, and shade-tolerant herbs such as periwinkle are planted on both sides to form biological migration channels. During construction, the coordinates of each seedling are marked using the Beidou positioning system to ensure accurate placement of the three-dimensional structure.

[0042] In step S4, water-retaining and fertilizer-retaining substances are filled into the planting pits in the modified area.

[0043] In step S5, the forest belt is designed as a continuous wave shape with a wavelength of 150 meters and a radius of curvature of 30 meters at the turning point, reducing wind speed by 15% to 20%. A detachable galvanized steel fence, 2.5 meters high and with a porosity of 40%, is installed on the windward side. The fence spacing is dynamically adjusted according to typhoon warnings. The fence spacing is 5 meters when the wind force is less than or equal to level 10, and increased to 3 meters when it exceeds level 10. Pandanus trees, Pittosporum tobira, and vines are planted at the base of the fence, with a plant spacing of 1 meter. Within 48 hours after the disaster, a tracked replanting machine is activated to replant wind-resistant seedlings at a rate of 6 plants per minute, ensuring the forest belt function is restored within 72 hours.

[0044] In step S7, a blockchain-based management app was developed. Villagers can log in via facial recognition to receive tasks. For every 10 coconut trees planted, a photo with a GPS watermark must be uploaded, earning 10 points; for each reported pest or disease with AI identification results, 5 points are awarded. The system automatically reviews the data and uploads it to the blockchain for record-keeping, generating and publishing a monthly management report. In the pilot area, the points redemption rate reached 75% in the first year, resulting in an average annual income increase of 8,000 yuan for villagers.

[0045] In step S8, five LoRa IoT nodes are deployed per hectare, including soil three-parameter sensors with depths of 20 cm and 50 cm, an anemometer with an accuracy of ±0.1 m / s, and a 5-band multispectral camera; in order to monitor the effects of windbreak and sand fixation and soil and water conservation.

[0046] In summary, this invention significantly enhances the comprehensive functions of protective forest belts through systematic technological integration and ecologically adaptive design. At the ecological protection level, a gradient windbreak and sand-fixing network is constructed through a three-dimensional layered structure and dynamic tree species configuration. The synergistic effect of biodegradable grids and microbial agents accelerates soil improvement, promotes rapid root establishment of vegetation, and effectively curbs wind erosion, desertification, and soil erosion. An intelligent monitoring system tracks the health status of the forest belt in real time, and combined with disaster-adaptive design, enables the forest belt to dynamically respond to extreme weather events such as typhoons and droughts, forming a self-repairing capability. The three-dimensional spatial layout and the strategy of appropriately reserving forest space further enhance biodiversity, provide migration corridors for wild animals and plants, and also facilitate future forest belt tourism, achieving long-term stability of ecological functions. This invention deeply integrates ecological protection with tourism service needs. The design of scenic windows and the combination of landscape plants transform traditional protective forests into protective landscape forests, enhancing the visitor experience and regional tourism appeal. The blockchain-enabled community co-management mechanism mobilizes residents' enthusiasm for participation, forming a sustainable management cycle and promoting the coordinated development of understory economy and ecotourism. The resilient maintenance system significantly shortens the post-disaster recovery cycle and reduces economic losses through rapid replanting and gene storage. The overall solution balances ecological security, livelihood benefits, and landscape value, providing a replicable ecological-economic win-win paradigm for coastal areas.

[0047] It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes the element.

[0048] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for transforming coastal shelterbelts based on forest ecology optimization, characterized in that: The method includes the following steps: S1: By combining drone remote sensing with ground quadrat surveys, indicators such as the proportion of dying trees, canopy density, and distribution of harmful organisms are quantified. Based on AI algorithms, forest belt degradation levels are classified, and highly vulnerable areas and priority areas for renovation are identified. S2: Establish a gene bank of coastal suitable plants, combine environmental factors such as soil salinity and wind speed gradient, use machine learning models to dynamically recommend the optimal combination of native tree species, and introduce stress-resistant gene-improved varieties to enhance salt and alkali tolerance and wind resistance. S3: Adopting a layered three-dimensional planting technology, the top layer is planted with wind-resistant trees, the middle layer is configured with umbrella-shaped crown tree species, and the bottom layer is densely planted with shrubs and grasses to form a gradient windbreak barrier and leave appropriate forest space; S4: In the renovation area, biodegradable fiber grids are buried, and coconut shell fiber and microbial agents are filled in the grids. Sensors are implanted at the same time to monitor root growth and soil moisture in real time. Through the grid's three-in-one effect of sand fixation, water retention and root promotion, the ecological restoration process is accelerated. S5: Set up adjustable windbreak fences and wavy forest belts, dynamically adjust the density of the forest belts based on typhoon path prediction data, and add elastic plant buffer zones on the windward side to reduce wind erosion damage. S6: Increase the rate of sea and scenic views along the island ring road, nurture and prune the lower shrubs and grasses that block the view, replant flowering and foliage plants, and form a landscape corridor with varying density to achieve a dual improvement in ecological protection and landscape visual appeal. S7: Introduce blockchain technology to establish a forest belt management points system to encourage surrounding villagers to participate in replanting, patrolling and data collection. Points can be exchanged for ecotourism revenue dividends to promote sustainable governance. S8: Deploy IoT devices and satellite remote sensing to track indicators such as forest belt carbon sequestration and soil fixation rate in real time, generate digital twin models, and optimize and iterate transformation plans; S9: Establish disaster emergency response plans, conduct regular simulated storm drills, and rapidly replant seedlings in conjunction with gene bank reserves to ensure that forest belts can be restored within 48 hours after extreme weather events.

2. The coastal shelterbelt transformation method based on forest ecology optimization as described in claim 1, characterized in that: In step S1, a drone equipped with a multispectral camera and lidar is used to perform centimeter-level aerial scanning of the coastal protective forest belt. The flight altitude is set at 100 meters and the coverage width is 200 meters to generate high-resolution orthophotos and 3D point cloud data. Combined with remote sensing images, zoning processing and field surveys are carried out. Standard plot and whole-forest survey methods are used to identify the number of dead trees, wind-fallen trees, wind-broken trees, and wind-crooked trees, and the number of dead trees, wind-fallen trees and their pest and disease characteristics are recorded for each tree. The data is clustered and analyzed through an AI platform, and the random forest algorithm is used to identify the forest belt degradation level, outputting a heat map to mark severely degraded areas, moderately degraded areas, and slightly degraded areas.

3. The coastal shelterbelt transformation method based on forest ecology optimization as described in claim 1, characterized in that: In step S2, based on meteorological data and soil sampling analysis over the past 10 years, a suitability database for 32 coastal tree species, including coconut, hibiscus, and large-leaved terminalia, is constructed. The soil salinity ranges from 0.8% to 2.5%, and the pH value ranges from 6.5 to 8.

2. A machine learning model is used to simulate the wind resistance and ecological benefits of different tree species combinations, and the optimal ratio is output: coconut 40%, hibiscus 30%, large-leaved terminalia 20%, and others 10%.

4. The coastal shelterbelt transformation method based on forest ecology optimization as described in claim 1, characterized in that: In step S3, the middle layer is planted with native tree species such as Terminalia catappa and Hibiscus syriacus, with a crown width of 3 to 8 meters and a plant spacing of 4 to 6 meters to form a continuous windbreak canopy; the bottom layer is densely planted with shrubs such as Pittosporum tobira, with a plant height of 0.5 to 1 meter, planted in a 0.3 meter by 0.3 meter grid, planted in groups, with each group covering 10 to 30 square meters; appropriate forest space or corridors are left, and shrubs, grasses and vines are planted on both sides to form biological migration channels, which also helps to develop forest belt sightseeing tours in the future.

5. The coastal shelterbelt transformation method based on forest ecology optimization as described in claim 1, characterized in that: In step S4, water-retaining and fertilizer-retaining substances are filled into the planting pits in the modified area.

6. The coastal shelterbelt transformation method based on forest ecology optimization as described in claim 1, characterized in that: In step S5, the forest belt is designed as a continuous wave shape with a wavelength of 150 meters and an arc radius of 30 meters at the turning point, reducing wind speed by 15% to 20%. A detachable galvanized steel fence with a height of 2.5 meters and a porosity of 40% is installed on the windward side, and the fence spacing is dynamically adjusted according to the typhoon warning. When the wind force is less than or equal to level 10, the fence spacing is 5 meters, and when it is greater than level 10, it is increased to 3 meters. Vines, Pittosporum tobira, Pandanus tectorius, etc. are planted at the base of the fence, with a plant spacing of 1 meter. Within 48 hours after the disaster, a tracked replanting machine is used to replant wind-resistant seedlings at a rate of 6 plants per minute to ensure that the function of the forest belt is restored within 72 hours.

7. The coastal shelterbelt transformation method based on forest ecology optimization as described in claim 1, characterized in that: In step S7, a blockchain-based management app is developed, and villagers can log in via facial recognition to receive tasks. For every 10 coconut trees planted, a photo with a GPS watermark must be uploaded, and 10 points are awarded. For every reported pest or disease with AI recognition results, 5 points are awarded. Points can be redeemed at a 1:1 ratio for station vouchers or understory economic products such as tung oil.

8. The coastal shelterbelt transformation method based on forest ecology optimization as described in claim 1, characterized in that: In step S8, five LoRa IoT nodes are deployed per hectare, including soil three-parameter sensors with depths of 20 cm and 50 cm, an anemometer with an accuracy of ±0.1 m / s, and a 5-band multispectral camera; in order to monitor the effects of windbreak and sand fixation and soil and water conservation.

Images