A method for constructing a plant community of a panda urban habitat

Abstract

The application provides a panda urban habitat plant community construction method, and belongs to the technical field of animal habitat reconstruction, and solves the problem that the plant community of the existing panda habitat cannot meet the diversified habitat needs of pandas; comprising: S1, establishing a plant information database, including multiple types of specific plants and plant information models, and simultaneously establishing a site information model; S2, traversing and combining multiple plant information models to form multiple plant community original schemes; S3, arranging the plant community in the site information model and performing simulation simulation; S4, establishing a panda viewpoint model, simulating the field of view of the panda in the scene, and modifying, optimizing, combining and evaluating the multiple plant community original schemes; S5, selecting an ideal plant community scheme and creating it in an actual panda urban habitat; the application can save construction costs, the constructed plant community enriches the habitat environment of the panda, and improves the ecological benefits of the panda urban habitat.

Description

Technical Field

[0001] This invention belongs to the field of animal habitat reconstruction technology, and specifically relates to plant communities in giant panda habitats, specifically a method for constructing plant communities in panda urban habitats. Background Technology

[0002] The existing urban habitats for giant pandas are mainly zoos, and the plant communities in zoos are relatively homogeneous. The types of plants used in zoos rarely take into account the pandas' own landscape experience. In combination with the function of zoos as habitats, the corresponding plant communities are often designed to meet the needs of tourists, which results in a less natural living environment for giant pandas.

[0003] Long-term observations have shown that giant pandas in such habitats experience a gradual decline in vitality, which is detrimental to their health, growth, and reproduction. Therefore, establishing urban habitats for giant pandas with diverse plant communities is of great significance. However, in this field, there are currently no specific construction schemes for the plant community components within the habitat, making it impossible to determine the optimal plant community construction method, and thus difficult to meet the diverse habitat needs of giant pandas for inhabitation, foraging, and reproduction. Therefore, those skilled in the art have made the rational and optimized construction of plant communities one of the current research priorities. Summary of the Invention

[0004] Based on the current development status of giant panda urban habitats, this invention proposes a rationally optimized construction method focusing on the plant community component. Utilizing site information models and plant databases, various plant species are combined to construct different plant communities, and the construction effects are simulated. The simulation process is based on the visual characteristics of giant pandas to evaluate the effectiveness of the plant community construction. This invention allows for convenient dynamic adjustments to the design during plant community construction, forming a construction scheme that closely integrates design and construction, significantly reducing construction costs. The constructed plant communities enrich the giant panda's habitat environment and improve the ecological benefits of giant panda urban habitats.

[0005] The present invention employs the following technical solutions to achieve the above objectives:

[0006] A method for constructing a plant community in a panda urban habitat, the method comprising the following steps:

[0007] S1. Establish a plant information database, which includes various specific plants and their corresponding plant information models; at the same time, establish a site information model for panda urban habitats.

[0008] S2. Extract plant information models of multiple specific plants from the plant information database, traverse and combine them to form multiple original schemes for plant communities.

[0009] S3. Arrange the original plant community scheme in the site information model, adjust the arrangement parameters, and conduct plant community scene simulation.

[0010] S4. In the simulation, establish a panda viewpoint model to simulate the panda's field of vision in the scene; based on the panda viewpoint model, modify, optimize, combine and evaluate various original plant community schemes.

[0011] S5. After simulation, the only ideal plant community scheme is selected and constructed in the actual panda urban habitat to complete the construction of the plant community.

[0012] Preferably, in step S1, a plant information model is established using modeling software. In the modeling software, the plant information model replaces the actual plant shape of the corresponding plant with a concept family for each specific plant type. The concept family is a combination of ellipsoids and cylinders.

[0013] Specifically, for plant information models in the form of concept families, during the arrangement and simulation process in step S3, rendering software is used to select a real plant appearance model corresponding to the plant information model from the plant library of the rendering software to replace it, thereby simulating the real field of view of the corresponding scene.

[0014] Specifically, in step S1, the site information model is established as follows: obtain the topographic map of the proposed panda city habitat, preprocess the data in the topographic map, retain the three-dimensional information graphic elements describing the terrain structure, import them into the modeling software, and thus generate the corresponding site information model; at the same time, establish and improve the geological structure, water features and hardscape design in the site information model so as to facilitate the subsequent arrangement of the original plant community plan.

[0015] Specifically, in step S1, based on the research results on the physiological habits of pandas, the established plant information database includes four categories of specific plants: trees, shrubs, herbs, and staple bamboo.

[0016] Furthermore, in step S2, for the four specific plant types in the plant information database, the four types are combined sequentially by extracting one type, extracting two types, extracting three types, and extracting four types to achieve traversal combination and form multiple original plant community schemes; in step S3, for each original plant community scheme, the layout parameters include the distribution location, planting density, and plant height of the corresponding plants.

[0017] Furthermore, in step S4, the panda viewpoint model is established based on the panda's visual physical parameters to achieve a three-dimensional visualization simulation of the plant scene. For each original plant community scheme, four types of areas are divided in the simulation scene based on the layout of the plant community: open area, semi-open area, slightly enclosed area, and enclosed area. At the same time, visible viewpoints are set in the simulation scene. In the four types of areas, the modification, optimization, combination, and evaluation process of the original plant community scheme is completed by detecting the visible viewpoints through the panda viewpoint model.

[0018] Specifically, the visible viewpoints set up in the panda city habitat include: hardscape features, water bodies, hills, roads, and panda spots; among them, the panda spots are set up according to the probability of pandas appearing in different locations in the habitat.

[0019] Specifically, when detecting visible viewpoints using the panda viewpoint model, the number of visible viewpoints in each type of region is divided as follows: >50 in open regions; 15-30 in semi-open regions; 5-15 in slightly enclosed regions; and ≤1 in enclosed regions.

[0020] In summary, due to the adoption of this technical solution, the beneficial effects of this invention are as follows:

[0021] The method of this invention can construct a reasonable and optimized plant community for giant panda urban habitats. The method can be applied repeatedly, and the plant information database can be adjusted according to changes in actual conditions. This invention combines the visual characteristics of giant pandas to evaluate and adjust the plant community, realizing a more convenient dynamic adjustment process in the design and construction of the plant community. This avoids the problem of additional rework and reconstruction costs due to unsatisfactory results after direct construction.

[0022] The method of this invention can dynamically adjust the plant community based on the growth and changes of giant pandas, ensuring that the construction scheme of the plant community can be continuously optimized and developed towards a more perfect direction. The plant community constructed by the method of this invention, when applied to urban giant panda habitats, can provide giant pandas with the most ideal habitat, thereby improving their vitality. Coupled with technologies such as the overall reconstruction, design, and functional tourism of urban giant panda habitats, it can also meet the needs of a large number of tourists. Therefore, this invention plays a leading and exemplary role in the process of giant pandas adapting to urban habitat environments, and is of great significance for the protection of giant pandas. Attached Figure Description

[0023] Figure 1 This is a flowchart illustrating the method of the present invention. Detailed Implementation

[0024] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations.

[0025] Therefore, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the invention without inventive effort are within the scope of protection of the invention.

[0026] Example

[0027] like Figure 1 As shown, a method for constructing plant communities in panda urban habitats is described. The overall steps of this method are as follows:

[0028] S1. Establish a plant information database, which includes various specific plants and their corresponding plant information models; at the same time, establish a site information model for panda urban habitats.

[0029] S2. Extract plant information models of multiple specific plants from the plant information database, traverse and combine them to form multiple original schemes for plant communities.

[0030] S3. Arrange the original plant community scheme in the site information model, adjust the arrangement parameters, and conduct plant community scene simulation.

[0031] S4. In the simulation, establish a panda viewpoint model to simulate the panda's field of vision in the scene; based on the panda viewpoint model, modify, optimize, combine and evaluate various original plant community schemes.

[0032] S5. After simulation, the only ideal plant community scheme is selected and constructed in the actual panda urban habitat to complete the construction of the plant community.

[0033] This embodiment will describe the details of each step in the execution sequence of the above method. The plant community construction method provided in this embodiment can create the most ideal plant community in the panda habitat, thereby enriching the panda's habitat environment and improving the ecological benefits of the panda's urban habitat; the specific species of panda mentioned in this embodiment is the giant panda.

[0034] Regarding the model-related content in the method of this embodiment, this embodiment provides the following preferred method: In step S1, a plant information model is established using modeling software. In the modeling software, the plant information model replaces the actual plant shape of the corresponding plant with a concept family form for each specific plant type. The concept family form is a combination of ellipsoids and cylinders. The plant types can also be distinguished by model color, and the plant sizes can be distinguished by model size, making the plant information model relatively realistic and complete.

[0035] Modeling in the form of concept families can avoid the problem of modeling software lag or crashes caused by excessively large model sizes, reduce design costs, and still create models that meet the requirements.

[0036] For plant information models in the form of concept families, during the arrangement and simulation process in step S3, rendering software is used to select a real plant appearance model corresponding to the plant information model from the plant library of the rendering software to replace it, thereby simulating the real field of view of the corresponding scene.

[0037] In step S1, the site information model is established as follows: the topographic map of the proposed panda city habitat is obtained, the data in the topographic map is preprocessed, the three-dimensional information graphic elements describing the terrain structure are retained, and the data is imported into the modeling software to generate the corresponding site information model; at the same time, the geological structure, water features and hardscape design in the site information model are established and improved so as to facilitate the subsequent arrangement of the original plant community plan.

[0038] In this embodiment, based on research findings on panda physiological habits, a plant database was established that includes four specific plant categories: trees, shrubs, herbs, and staple bamboo. These four categories of specific plants can be considered as plants that pandas prefer and are suitable for planting in their urban habitats, thus meeting the physiological needs of pandas. The specific recommendations and corresponding Latin scientific names for each category of specific plants are as follows:

[0039] 1. Trees: Fir (Abies fabri), Sharp-toothed oak (Quercus aliena var. acuteserrata), Red birch (Betula albosinensis), White birch (Betula platyphylla), Chinese oak (Cyclobalanopsis glauca), Sichuan-Yunnan alpine oak (Quercus aquifolioides), Bamboo oak (Quercus serrata), Large-leaved poplar (Populus lasiocarpa), Wild walnut (Juglans cathaycnsis), Purple magnolia (Magnolia liliflora);

[0040] 2. Shrubs: Rhododendron hunnewellianum (Minjiang Rhododendron), Rhododendron lutescens (Yellow Rhododendron);

[0041] 3. Herbaceous plants: Athyrium filixfemina, Poa annua, Eriophorum vaginatum, Ptilopteris moximowrczii, Symphonocospaniculata;

[0042] 4. Staple bamboo species: Bashania faberi, F. rufa, F. nitida, F. denudata, Phyllostachys nigra, P. bambusoides, Bashania fargesii, Fargesia obliqua, Phyllostachys bissetii, Chimonobambus neopurpurea.

[0043] Next, in step S2, for the four specific plant types in the plant information database, the system sequentially extracts one type, then two, then three, and finally four types of plants, to iterate and combine them, forming multiple original plant community schemes. Taking the extraction of one type as an example, this will generate four original plant community schemes that only include the individual arrangement of each type of specific plant; however, these four schemes can be further subdivided according to the specific plant types selected. The subsequent extraction of types two through four is done in a similar manner to complete the iterative combination and form a sufficient number of original plant community schemes.

[0044] When arranging the plant community in step S3, for each original plant community scheme, the arrangement parameters include the distribution location, planting density and plant height of the corresponding plants.

[0045] The selection and arrangement of the plant information model described in this embodiment can be performed as follows: Using the EZland Landscape Master software, open the plant arrangement interface "EZ_Draw_Plants", link the established plant information database to the cloud, and import the plant information models corresponding to the four specific types of plants in the plant information database; click the automatic planting button "EZ_Auto_PlantTree", and within the selected area of ​​the site information model, filter, traverse, or randomly combine the types and quantities of the four types of plants, and automatically arrange and create a plant community according to the preset spacing rules.

[0046] Next, install the Mars plugin for Glorious City. In EZland software, execute the "Mars Export" command and select the area of ​​plant community layout and site information model that needs to be exported. The pick reference point in the command is the coordinate origin position that will be used for import into SketchUp software.

[0047] In SketchUp, use the "Import Plants" function to generate the last exported content; the generation direction determines whether the ground cover height is generated upwards or downwards; then, in SketchUp, click "Mars Sync" in the Mars plugin pop-up window and wait for the model to be synchronized to the Glorious City Mars software.

[0048] Through the above process, that is, based on the original plant community scheme, after the arrangement, the necessary conditions for plant community scene simulation were obtained, and the subsequent simulation process based on the panda's perspective can be carried out.

[0049] In step S4 of this embodiment, the panda viewpoint model is established based on the panda's visual physical parameters, which allows for a better understanding of its visual perception and enables 3D visualization simulation of the plant scene. Here, the panda viewpoint model can be placed in the Radiant City Mars software, allowing the plant community designer to switch their perspective to that of a panda. By simulating the panda's walking speed and movement and field of vision, the designer can perceive the surrounding plant scene and make optimizations. If hardware support is available, a VR device can also be used for a more immersive experience of the plant community effect to be constructed in the panda city habitat.

[0050] In this embodiment, for each original plant community scheme, four types of areas are divided in the simulation scene based on the layout of the plant community: open area, semi-open area, slightly enclosed area, and enclosed area. Visual viewpoints are also set in the simulation scene. Designers adjust the perspective and create visual viewpoints at appropriate locations using the software's "scene" tool. The visible distance is then measured using the "measurement tool." By detecting the visual viewpoints in the four types of areas using a panda viewpoint model, the modification, optimization, combination, and evaluation process of the original plant community scheme is completed.

[0051] In the above-mentioned visual viewpoint detection method, the visual viewpoints include: hardscape features, water bodies, hills, roads, and panda locations; among them, the panda locations are divided and set according to the probability of pandas appearing in different locations in the habitat, which can indicate the perception of other panda companions in the scene of the surrounding plant community when the panda is in the habitat environment.

[0052] After the above methods are used, problems in the original plant community scheme can be identified. The EZland software can be returned to modify and optimize the layout parameters to form a new plant community scheme. The Glorious City Mars software can automatically load the new scheme and repeat the simulation of the scene and the detection based on the panda viewpoint model to carry out a new optimization and evaluation process.

[0053] In this embodiment, based on the characteristics and requirements of four types of areas and the setting of visible viewpoints, a quantitative detection process is performed. The visible viewpoints for each type of area are divided according to their quantity: >50 visible viewpoints in open areas; 15–30 visible viewpoints in semi-open areas; 5–15 visible viewpoints in slightly enclosed areas; and ≤1 visible viewpoints in enclosed areas. By judging the quantity, it is determined whether the corresponding original scheme needs modification and optimization; thus, the scheme that meets the requirements is rendered and exported.

[0054] During the simulation process, multiple modified and optimized plant community schemes that meet specific needs may be obtained. These schemes are then exported and rendered as effect diagrams for the corresponding scenarios. In this embodiment, the effect diagrams can be submitted to expert decision-makers in panda city habitats to jointly select the most ideal scheme as the ideal plant community scheme.

[0055] Finally, the ideal plant community design is output as construction drawings, and the construction drawings and the corresponding simulation scene model are handed over to the construction unit. Based on the construction drawings and the simulation scene model, the construction unit completes the planting process of various specific plants in the actual panda city habitat to form the corresponding plant community and complete the entire construction process.

Claims

1. A method for constructing a plant community of a panda urban habitat, characterized in that, The method includes the following steps: S1. Establish a plant information database, which includes various specific plants and their corresponding plant information models; at the same time, establish a site information model for panda urban habitats. S2. Extract plant information models of multiple specific plants from the plant information database, traverse and combine them to form multiple original schemes for plant communities. S3. Arrange the original plant community scheme in the site information model, adjust the arrangement parameters, and conduct plant community scene simulation. S4. In the simulation, establish a panda viewpoint model to simulate the panda's field of vision in the scene; based on the panda viewpoint model, modify, optimize, combine, and evaluate various original plant community schemes. S5. After simulation, select the only ideal plant community scheme and create it in the actual panda city habitat to complete the construction of the plant community. In step S2, for the four specific plant types in the plant information database, the first type is extracted, the second type is extracted, the third type is extracted, and the fourth type is extracted in sequence to achieve traversal combination and form multiple original plant community schemes; in step S3, for each original plant community scheme, the layout parameters include the distribution location, planting density and plant height of the corresponding plants. In step S4, the panda viewpoint model is established based on the panda's visual physical parameters to achieve a three-dimensional visualization simulation of the plant scene. For each original plant community scheme, four types of areas are divided in the simulation scene based on the layout of the plant community: open area, semi-open area, slightly enclosed area, and enclosed area. At the same time, visible viewpoints are set in the simulation scene. In the four types of areas, the modification, optimization, combination, and evaluation process of the original plant community scheme is completed by detecting the visible viewpoints through the panda viewpoint model. In the panda city habitat, the visible viewpoints include: hardscape features, water bodies, hills, roads, and panda locations; among them, the panda locations are divided and set up according to the probability of pandas appearing in different locations in the habitat. When detecting visible viewpoints using the panda viewpoint model, the number of visible viewpoints in each type of region is divided as follows: >50 in open regions; 15-30 in semi-open regions; 5-15 in slightly enclosed regions; and ≤1 in enclosed regions.

2. The method according to claim 1, wherein the method is characterized by: In step S1, a plant information model is established using modeling software. In the modeling software, the plant information model replaces the actual plant shape of the corresponding plant with a concept family for each specific plant type. The concept family is a combination of ellipsoids and cylinders.

3. The method according to claim 2, wherein the method is characterized by: For plant information models in the form of concept families, during the arrangement and simulation process in step S3, rendering software is used to select a real plant appearance model corresponding to the plant information model from the plant library of the rendering software to replace it, thereby simulating the real field of view of the corresponding scene.

4. The method according to claim 1, wherein the method is characterized by: In step S1, the site information model is established as follows: the topographic map of the proposed panda city habitat is obtained, the data in the topographic map is preprocessed, the three-dimensional information graphic elements describing the terrain structure are retained, and the data is imported into the modeling software to generate the corresponding site information model; at the same time, the geological structure, water features and hardscape design in the site information model are established and improved so as to facilitate the subsequent arrangement of the original plant community plan.

5. The method according to claim 1, wherein the method is characterized by: In step S1, based on the research results on the physiological habits of pandas, the established plant information database includes four specific plant categories: trees, shrubs, herbs, and staple bamboo.

6. The method for constructing plant communities in panda urban habitats according to claim 1, characterized in that: The ideal plant community design is output as construction drawings, and the construction drawings and the corresponding simulation scene model are handed over to the construction unit. Based on the construction drawings and the simulation scene model, the construction unit completes the planting process of various specific plants in the actual panda city habitat to form the corresponding plant community and complete the entire construction process.

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