Invasive organism data visualization method, system, medium and equipment

Abstract

The invention discloses an invasive organism data visualization method, system, medium and equipment, the system comprises a data acquisition unit, a data processing unit, a visualization unit, a display unit and a data storage unit, the data acquisition unit is in communication connection with the data processing unit, the data processing unit is in communication connection with the visualization unit, and the visualization unit is in communication connection with the display unit. The visualization unit is in communication connection with the display unit, and the data acquisition unit, the data processing unit and the visualization unit are respectively in communication connection with the data storage unit. According to the method, the distribution area of the invasive species is expanded or contracted according to different conditions, so that the distribution area of the invasive species and the development condition of the distribution area of the invasive species in a period of time in the future can be reflected more effectively and accurately.

Description

Technical Field

[0001] This invention relates to the field of computer technology, and more specifically to a method, system, medium, and device for visualizing invasive biological data. Background Technology

[0002] To improve the environment and enrich local food sources, people introduce plants and animals from other regions. Some individuals also raise or cultivate plants and animals from other areas based on personal preferences. However, some species that harm the local environment and native species are also introduced in this process. Current research on the distribution of invasive species focuses primarily on harmful invasive species, in order to understand their local distribution and facilitate the prevention and control of harmful invasive species.

[0003] Based on the National Key Research and Development Program's project "Research and Application Demonstration of Key Technologies for Baseline Information and Big Data Platform for the Occurrence and Spread of Invasive Alien Species" (Project No. 2023YFC2605200), this study investigated visualization technology for the distribution areas of invasive alien species. The research found that when studying the distribution areas of invasive alien species, researchers often visualize the results—the distribution of these species—to provide a more intuitive understanding. However, when visualizing the distribution areas of invasive alien species, researchers often focus on statistically analyzing the areas where the species was discovered and then expanding these areas to a certain extent, thus forming a possible distribution area for the species. This research method results in some omissions in the obtained distribution areas of invasive alien species, and also has certain limitations in predicting or forecasting the development of invasive species distribution areas. Summary of the Invention

[0004] Therefore, the technical problem to be solved by the present invention is to provide a method, system, medium and device for visualizing invasive species data. By expanding or shrinking the distribution area of ​​invasive species according to different conditions, it can more effectively and accurately reflect the distribution area of ​​invasive species and the development status of the distribution area of ​​invasive species in the future.

[0005] To solve the above-mentioned technical problems, the present invention provides the following technical solution:

[0006] A method for visualizing invasive organism data includes the following steps:

[0007] S10) Collect raw data related to invasive species. The raw data related to invasive species include the location and number of invasive species, as well as the regional characteristics related to the location of the invasive species. The regional characteristics include the altitude, average annual temperature, average annual precipitation and soil acidity / alkalinity of the region where the invasive species is found.

[0008] S20) The raw data collected in step S10) is processed as follows:

[0009] S21) Clean the raw data collected in step S10) to remove duplicate data and obtain first-order data information;

[0010] S22) Label the invasive species related to the first-order data information, and indicate the biological classification information of the invasive species related to the primary data information to obtain the second-order data information.

[0011] S23) The second-order data information obtained in step S22) is processed according to the following strategy to obtain the third-order data information:

[0012] a1) When invasive species A and invasive species B belong to the same family or have similar or identical living environment conditions, and the invasive species discovery locations of invasive species A and invasive species B are within the distance threshold Distance, the distribution areas of invasive species A and invasive species B are superimposed.

[0013] a2) When an invasive species appears in an area without survival threats, the distribution area of ​​the invasive species is expanded.

[0014] a3) When an invasive species appears in an area with survival threats, the distribution area of ​​the invasive species should be reduced.

[0015] S30) Visualizes the third-order data information and displays it on the display interface.

[0016] In the above-mentioned invasive species data visualization method, in step S23), when overlaying the distribution areas of invasive species A and invasive species B, the distribution areas of invasive species A and invasive species B are overlaid according to the following formula:

[0017] ;

[0018] In the formula, Range A+B The distribution area after overlay processing of invasive species A and invasive species B; Range A This represents the original distribution area of ​​invasive species A; δ A For Range A The superposition coefficient; Range B This represents the original distribution area of ​​invasive species B; δ B For Range B The superposition coefficient;

[0019] δ A With δ B All are obtained by calculation using the following formula:

[0020] ;

[0021] in, Let represent the similarity between the native environmental factors of the i-th invasive species and the environmental factors of the invasive species' discovery site.

[0022] In the above-mentioned invasive species data visualization method, in step S23), when narrowing down the distribution area of ​​the invasive species, the reduced distribution area Range of the invasive species is calculated using the following formula. 缩 :

[0023] ;

[0024] In the formula, To narrow down the range; Range represents the projected distribution area of ​​the invasive species;

[0025] Reduction factor The following formula is used to calculate:

[0026]

[0027] In the formula, HF represents the weight of environmental factors that are detrimental to the survival of the species, and its value ranges from greater than 0 to less than 1.

[0028] In the above-mentioned invasive species data visualization method, in step S23), when expanding the distribution area of ​​the invasive species, the expanded invasive species distribution area Range is calculated using the following formula. 扩 :

[0029] ;

[0030] In the formula, The expansion factor is calculated using the following formula:

[0031] ;

[0032] In the formula, σ is the average weight of environmental factors that are conducive to the survival of the species, and the weight of environmental factors that are conducive to the survival of the species ranges from 1 to 5.

[0033] In the aforementioned invasive species data visualization method, in step S23), when expanding the distribution area of ​​invasive species, if the reproduction and spread rate of the invasive species exceeds an upper limit, the following formula is used to... Make corrections:

[0034] ;

[0035] In the formula, α is a self-defined time accumulation factor, with a value greater than or equal to 1.5 and less than or equal to 2.5; β is an adverse environmental factor limiting factor, with a value greater than or equal to 0.5 and less than 1; Value is an adjustable value greater than or equal to 4.8 and less than or equal to 6.4.

[0036] In the above-mentioned invasive species data visualization method, under strategy a1, when invasive species A1 and invasive species B1 belong to the same family or have similar or identical living environment conditions, and invasive species A2 and invasive species B2 belong to the same family or have similar or identical living environment conditions, but invasive species A1 and invasive species A2 do not belong to the same family or have dissimilar or different living environment conditions, the distance threshold Distance1 applicable to calculating the distribution area of ​​invasive species A1 and invasive species B1 is different from the distance threshold Distance2 applicable to calculating the distribution area of ​​invasive species A2 and invasive species B2.

[0037] A system utilizing the above-described invasive organism data visualization method includes:

[0038] The data acquisition unit is used to collect raw data related to invasive species.

[0039] The data processing unit is used to process the raw data collected by the data acquisition unit. The data processing unit includes a data cleaning module, a data labeling and classification module, and a data operation module. The data cleaning module is used to clean the raw data to obtain first-order data information. The data labeling and classification module is used to label the invasive species related to the first-order data information to obtain second-order data information. The data operation module is used to process the second-order data information to obtain third-order data information.

[0040] The visualization unit is used to visualize third-order data information.

[0041] The display unit is used to display the visualized third-order data information on the display interface;

[0042] The data storage unit is used to store the raw data collected by the data acquisition unit, as well as the output of the data processing unit and the visualization unit;

[0043] The data acquisition unit is communicatively connected to the data processing unit, the data processing unit is communicatively connected to the visualization unit, the visualization unit is communicatively connected to the display unit, and the data acquisition unit, data processing unit, and visualization unit are each communicatively connected to the data storage unit.

[0044] The system also includes a retrieval unit for providing information on invasive species.

[0045] A computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the above-described method for visualizing invasive biological data.

[0046] A computer device includes a readable storage medium, a processor, and a computer program stored on the readable storage medium and executable on the processor, wherein the computer program, when executed by the processor, implements the above-described method for visualizing invasive biological data.

[0047] The technical solution of the present invention achieves the following beneficial technical effects:

[0048] 1. This invention superimposes the distribution areas of two invasive species with similar living conditions to a certain extent. On the one hand, it can avoid the shrinkage of the distribution area of ​​invasive species due to the inability to conduct thorough surveys. On the other hand, it can also avoid the blind expansion of the distribution area of ​​invasive species due to simple superposition. It can provide a more scientific reference for the management of invasive species.

[0049] 2. When studying the distribution areas of invasive species, the distribution areas of invasive species can be expanded or contracted according to the weight of the impact of environmental conditions on the survival and reproduction of invasive species. This makes it easier to judge the survival, reproduction and spread speed of invasive species in the local area based on the natural environmental characteristics of the area where the invasive species is found, so as to provide a basis for decision-making on the management of invasive species in the local area.

[0050] 3. By optimizing the calculation method for the distribution area of ​​invasive species, the misjudgment or misestimation of the distribution area of ​​invasive species caused by the inability to conduct thorough surveys can be reduced, making it easier for people to understand the distribution status of invasive species before the statistical deadline. Attached Figure Description

[0051] Figure 1 This is a schematic diagram illustrating the working principle of the invasive organism data visualization system in this invention.

[0052] Figure 2 This is a flowchart illustrating the visualization of invasive organism data in this invention;

[0053] Figure 3 A schematic diagram of a computer device capable of visualizing invasive biological data. Detailed Implementation

[0054] The present invention will be further explained below with reference to examples.

[0055] like Figure 1As shown, the invasive organism data visualization system of the present invention includes a data acquisition unit, a data processing unit, a visualization unit, a display unit, a data storage unit, and a retrieval unit. The data acquisition unit is communicatively connected to the data processing unit, the data processing unit is communicatively connected to the visualization unit, the visualization unit is communicatively connected to the display unit, and the data acquisition unit, data processing unit, visualization unit, and retrieval unit are all communicatively connected to the data storage unit.

[0056] The system comprises the following components: a data acquisition unit for collecting raw data related to invasive species; a data processing unit for processing the raw data collected by the data acquisition unit; the data processing unit includes a data cleaning module, a data labeling and classification module, and a data computation module. The data cleaning module cleans the raw data to obtain first-order data information; the data labeling and classification module labels the invasive species related to the first-order data information to obtain second-order data information; and the data computation module processes the second-order data information to obtain third-order data information. A visualization unit is used to visualize the third-order data information. A display unit displays the visualized third-order data information on a display interface. A data storage unit stores the raw data collected by the data acquisition unit, as well as the outputs from the data processing and visualization units. A retrieval unit provides information retrieval for invasive species.

[0057] When studying the distribution of invasive species, raw data related to invasive species, such as the location and quantity of invasive species, and the regional characteristics associated with the location of invasive species, can be obtained through field surveys or other reliable sources (mainly official findings). Therefore, when using the invasive species data visualization system of this invention to visualize the distribution area of ​​invasive species, such as... Figure 2 As shown, this can be achieved through the following steps:

[0058] S10) Collect raw data related to invasive species. The raw data related to invasive species include the location and number of invasive species, as well as the regional characteristics related to the location of the invasive species. The regional characteristics include the altitude, average annual temperature, average annual precipitation and soil acidity / alkalinity of the region where the invasive species is found.

[0059] S20) The raw data collected in step S10) is processed as follows:

[0060] S21) Clean the raw data collected in step S10) to remove duplicate data and obtain first-order data information;

[0061] S22) Label the invasive species related to the first-order data information, and indicate the biological classification information of the invasive species related to the primary data information to obtain the second-order data information.

[0062] S23) The second-order data information obtained in step S22) is processed according to the following strategy to obtain the third-order data information:

[0063] a1) When invasive species A and invasive species B belong to the same family or have similar or identical living environment conditions, and the invasive species discovery locations of invasive species A and invasive species B are within the distance threshold Distance, the distribution areas of invasive species A and invasive species B are superimposed.

[0064] a2) When an invasive species appears in an area without survival threats, the distribution area of ​​the invasive species is expanded.

[0065] a3) When an invasive species appears in an area with survival threats, the distribution area of ​​the invasive species should be reduced.

[0066] S30) Visualizes the third-order data information and displays it on the display interface.

[0067] In this embodiment, in strategy a1, when invasive species A1 and invasive species B1 belong to the same family or have similar or identical living environment conditions, and invasive species A2 and invasive species B2 belong to the same family or have similar or identical living environment conditions, but invasive species A1 and invasive species A2 do not belong to the same family or have dissimilar or different living environment conditions, the distance threshold Distance1 applicable to calculating the distribution area of ​​invasive species A1 and invasive species B1 is different from the distance threshold Distance2 applicable to calculating the distribution area of ​​invasive species A2 and invasive species B2.

[0068] In the study of species distribution, when two species belong to the same family or have similar or identical living conditions, their distribution areas overlap to some extent. Therefore, when invasive species A and invasive species B belong to the same family or have similar or identical living conditions, if the distance between the locations where invasive species A and invasive species B are found is within the distance threshold Distance, invasive species A and invasive species B can be treated as the same invasive species for distribution area research. The distance threshold Distance can be determined based on the geographical distribution variations of important factors in the living conditions of invasive species A and invasive species B. For example, in mountainous areas, a smaller distance threshold Distance can be chosen, such as setting the limit distance threshold Distance to 3 km. In plains or flat plateau areas, the distance threshold Distance can be adjusted to a larger value, such as setting the limit distance threshold Distance to 5 km or 10 km.

[0069] In step S23), when overlaying the distribution areas of invasive species A and invasive species B, the distribution areas of invasive species A and invasive species B are overlaid according to the following formula:

[0070] ;

[0071] In the formula, Range A+B The distribution area after overlay processing of invasive species A and invasive species B; Range A This represents the original distribution area of ​​invasive species A; δ A For Range A The superposition coefficient; Range B This represents the original distribution area of ​​invasive species B; δ B For Range B The superposition coefficient;

[0072] δ A With δ B All are obtained by calculation using the following formula:

[0073] ;

[0074] in, Let represent the similarity between the native environmental factors of the i-th invasive species and the environmental factors of the invasive species' discovery site.

[0075] In the process of species growth, reproduction, and dispersal, apart from accidental factors (such as birds spreading seeds of exotic plants to distant places), environmental factors are crucial influencing species growth, reproduction, and dispersal. For invasive species, similarity between the environmental factors at the discovery site and the native environment is beneficial to their growth and reproduction. Conversely, the relative importance of favorable and unfavorable environmental factors depends on their impact. When overlaying the distribution areas of two similar invasive species for estimation, the similarity between the environmental factors at the discovery site and the native environment should be prioritized. This avoids more complex calculations and ensures accurate estimation of the invasive species' distribution area. Overlaying the distribution areas of two similar species reduces the workload of surveys and avoids omissions due to insufficient research.

[0076] Similarly, adverse environmental factors can also affect the distribution area of ​​invasive species. If the original estimation method is still used, the estimated distribution area of ​​invasive species will be too large, leading to misleading approaches to invasive species management. Therefore, it is necessary to consider the constraints of adverse environmental factors on the distribution area of ​​invasive species. Thus, in step S23), when narrowing down the distribution area of ​​invasive species, the narrowed distribution area (Range) is calculated using the following formula. 缩 :

[0077] ;

[0078] In the formula, To narrow down the range; Range represents the projected distribution area of ​​the invasive species;

[0079] Reduction factor The following formula is used to calculate:

[0080] ;

[0081] In the formula, HF represents the weight of environmental factors that are detrimental to the survival of the species, and its value ranges from greater than 0 to less than 1.

[0082] When considering the impact of adverse environmental factors on the distribution area of ​​invasive species, multiple adverse environmental factors can be taken into account, or only the adverse environmental factor with the highest weight can be considered. The former can make the estimation of the distribution area of ​​invasive species more accurate, while the latter can reduce the amount of computation and algorithm design work. Under the condition of meeting the requirements of invasive species distribution research and providing effective scientific guidance for invasive species management, the invasive species distribution area estimation method with less computation is preferred, namely the reduction factor adopted in this invention. The calculation method.

[0083] Organisms can rapidly grow, reproduce, and spread in environments favorable to their own growth and reproduction. If the distribution area of ​​invasive species is estimated solely based on survey results, the estimate will inevitably be underestimated. Therefore, when the environmental conditions at the discovery site of an invasive species are conducive to its growth and reproduction, the estimated distribution area should be expanded. Specifically, the expanded distribution area (Range) should be calculated using the following formula. 扩 :

[0084] ;

[0085] In the formula, The expansion factor is calculated using the following formula:

[0086] ;

[0087] In the formula, σ is the average weight of environmental factors that are conducive to the survival of the species, and the weight of environmental factors that are conducive to the survival of the species ranges from 1 to 5.

[0088] The distribution and development trend of a species in a region depends not only on environmental factors but also on its own reproductive capacity. For animals with strong reproductive capabilities and plants that can reproduce or spread through multiple means, their inherent characteristics also influence the distribution and development trend of the species in a region. When the reproduction and dispersal rate of a species exceeds an upper limit, by the time news of the invasive species' discovery is received, the estimated distribution area of ​​the invasive species has already changed. Therefore, when visualizing data on invasive organisms, the estimated distribution area of ​​the invasive species should be modified to a certain extent to play a defensive predictive role. This facilitates the prediction of the possible distribution area of ​​the invasive species during the control of the invasive species, thereby making it easier for control personnel to clean up the invasive species in the possible distribution area. Therefore, when expanding the distribution area of ​​an invasive species, when the reproduction and dispersal rate of the invasive species exceeds an upper limit, the following formula is used to... Make corrections:

[0089] ;

[0090] In the formula, α is a self-defined time accumulation factor, with a value greater than or equal to 1.5 and less than or equal to 2.5; β is an adverse environmental factor limiting factor, with a value greater than or equal to 0.5 and less than 1; Value is an adjustable value greater than or equal to 4.8 and less than or equal to 6.4.

[0091] The invasive species data visualization system of this invention visualizes the distribution areas of invasive species, not only accurately displaying the location where a particular invasive species is found, but also predicting its distribution area with relatively high accuracy. For example, when visualizing the distribution area of ​​pine wood nematode in a certain region, the system predicts and visualizes the pine wood nematode's distribution in that area based on the characteristics of the region and the characteristics of the pine wood nematode. The pine wood nematode distribution area displayed in the invasive species data visualization system of this invention overlaps with the actual pine wood nematode distribution area found through investigation up to 97%.

[0092] The present invention also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the above-described method for visualizing invasive biological data.

[0093] like Figure 3 As shown, the present invention also provides a computer device, including a readable storage medium, a processor, and a computer program stored on the readable storage medium and executable on the processor, wherein the computer program, when executed by the processor, implements the above-described method for visualizing invasive biological data.

[0094] Obviously, the above embodiments are merely illustrative examples for clear explanation and are not intended to limit the implementation. Those skilled in the art will recognize that other variations or modifications can be made based on the above description. It is neither necessary nor possible to exhaustively list all possible implementations here. However, obvious variations or modifications derived therefrom are still within the scope of protection of the claims of this patent application.

Claims

1. A method for visualizing invasive organism data, characterized in that, Includes the following steps: S10) Collect raw data related to invasive species. The raw data related to invasive species include the location and number of invasive species, as well as the regional characteristics related to the location of the invasive species. The regional characteristics include the altitude, average annual temperature, average annual precipitation and soil acidity / alkalinity of the region where the invasive species is found. S20) The raw data collected in step S10) is processed as follows: S21) Clean the raw data collected in step S10) to remove duplicate data and obtain first-order data information; S22) Label the invasive species related to the first-order data information, and indicate the biological classification information of the invasive species related to the primary data information to obtain the second-order data information. S23) The second-order data information obtained in step S22) is processed according to the following strategy to obtain the third-order data information: a1) When invasive species A and invasive species B belong to the same family or have similar or identical living environment conditions, and the invasive species discovery locations of invasive species A and invasive species B are within the distance threshold Distance, the distribution areas of invasive species A and invasive species B are superimposed. a2) When an invasive species appears in an area without survival threats, the distribution area of ​​the invasive species is expanded. a3) When an invasive species appears in an area with survival threats, the distribution area of ​​the invasive species should be reduced. S30) Visualizes the third-order data information and displays it on the display interface.

2. The method for visualizing invasive organism data according to claim 1, characterized in that, In step S23), when overlaying the distribution areas of invasive species A and invasive species B, the distribution areas of invasive species A and invasive species B are overlaid according to the following formula: ； In the formula, Range A+B The distribution area after overlay processing of invasive species A and invasive species B; Range A This represents the original distribution area of ​​invasive species A; δ A For Range A The superposition coefficient; Range B This represents the original distribution area of ​​invasive species B; δ B For Range B The superposition coefficient; δ A With δ B All are obtained by calculation using the following formula: ； in, Let represent the similarity between the native environmental factors of the i-th invasive species and the environmental factors of the invasive species' discovery site.

3. The method for visualizing invasive organism data according to claim 1, characterized in that, In step S23), when reducing the distribution area of ​​the invasive species, the reduced distribution area Range of the invasive species is calculated using the following formula. 缩 : ； In the formula, To narrow down the range; Range represents the projected distribution area of ​​the invasive species; Reduction factor The following formula is used to calculate: ； In the formula, HF represents the weight of environmental factors that are detrimental to the survival of the species, and its value ranges from greater than 0 to less than 1.

4. The method for visualizing invasive organism data according to claim 1, characterized in that, In step S23), when expanding the distribution area of ​​the invasive species, the expanded distribution area Range of the invasive species is calculated using the following formula. 扩 : ； In the formula, The expansion factor is calculated using the following formula: ； In the formula, σ is the average weight of environmental factors that are conducive to the survival of the species, and the weight of environmental factors that are conducive to the survival of the species ranges from 1 to 5.

5. The method for visualizing invasive organism data according to claim 4, characterized in that, In step S23), when expanding the distribution area of ​​the invasive species, if the reproduction and spread rate of the invasive species exceeds an upper limit, the following formula is used to... Make corrections: ； In the formula, α is a self-defined time accumulation factor, with a value greater than or equal to 1.5 and less than or equal to 2.5; β is an adverse environmental factor limiting factor, with a value greater than or equal to 0.5 and less than 1; Value is an adjustable value greater than or equal to 4.8 and less than or equal to 6.

4.

6. The method for visualizing invasive organism data according to claim 1, characterized in that, In strategy a1, when invasive species A1 and invasive species B1 belong to the same family or have similar or identical living conditions, and invasive species A2 and invasive species B2 belong to the same family or have similar or identical living conditions, but invasive species A1 and invasive species A2 do not belong to the same family or have dissimilar or different living conditions, the distance threshold Distance1 applicable to calculating the distribution area of ​​invasive species A1 and invasive species B1 is different from the distance threshold Distance2 applicable to calculating the distribution area of ​​invasive species A2 and invasive species B2.

7. A system utilizing the invasive organism data visualization method of claim 1, characterized in that, include: The data acquisition unit is used to collect raw data related to invasive species. The data processing unit is used to process the raw data collected by the data acquisition unit. The data processing unit includes a data cleaning module, a data labeling and classification module, and a data processing module. The data cleaning module is used to clean the raw data to obtain first-order data information. The data labeling and classification module is used to label the invasive species related to the first-order data information to obtain second-order data information. The data processing module is used to process the second-order data information to obtain third-order data information. The visualization unit is used to visualize third-order data information. The display unit is used to display the visualized third-order data information on the display interface; The data storage unit is used to store the raw data collected by the data acquisition unit, as well as the output of the data processing unit and the visualization unit; The data acquisition unit is communicatively connected to the data processing unit, the data processing unit is communicatively connected to the visualization unit, the visualization unit is communicatively connected to the display unit, and the data acquisition unit, data processing unit, and visualization unit are each communicatively connected to the data storage unit.

8. The system according to claim 7, characterized in that, It also includes a retrieval unit for providing information on invasive species.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the invasive organism data visualization method according to claims 1 to 6.

10. A computer device, comprising a readable storage medium, a processor, and a computer program stored on the readable storage medium and executable on the processor, characterized in that, When the computer program is executed by the processor, it implements the invasive organism data visualization method according to claims 1 to 6.

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