A method for calculating ecological network values, a program or device for calculating ecological network values, and a recording medium for storing a program for calculating ecological network values.

Abstract

The present invention provides a method for calculating an ecological network value between green belts, which includes the step of calculating an ecological network value between green belts. [Solution] A method for calculating an inter-green belt ecological network value, comprising the steps of: calculating the biomobility of organisms constituting the ecosystem using the inter-green belt characteristics between a first green belt and a second green belt and the movement characteristics of organisms constituting the ecosystem of the first green belt; identifying the local inter-organism network of organisms constituting the ecosystem in the second green belt; calculating a local inter-organism network value using the local inter-organism network of the second green belt; calculating an ecological connection value of organisms constituting the ecosystem using the biomobility and the local inter-organism network value; and calculating an inter-green belt ecological network value based on the ecological connection value.

Description

[Technical Field]

[0001] This disclosure relates to a method for calculating ecological network values, a program or apparatus for calculating ecological network values, and a recording medium for storing a program for calculating ecological network values. [Background technology]

[0002] In recent years, there has been a growing sense of urgency regarding the significant dependence of human social and economic activities on NCPs (Nature Contribution to People), the blessings of nature, and ecosystem services. In urban areas with limited green space, the challenge lies in how to maintain and create green belts to conserve or improve high levels of NCPs. To maintain high levels of NCPs in green belts, that is, to maintain high levels of ecosystems within green belts, one requirement is that some organisms living within the green belts move between them. Such networks between green belts, created by the movement of organisms, are called ecological networks. If high-level ecological networks are formed between green belts, the level of ecosystems in individual green belts will improve, and even if the level of ecosystems in a particular green belt temporarily declines for some reason, it can be expected that the ecosystem level will recover quickly due to influence from other green belts. In order to improve the level of these ecological networks, it is essential to first properly evaluate them.

[0003] Traditional ecological network evaluations often rely on qualitative estimations based on fieldwork, observing whether specific organisms with relatively long migration distances are present in the target green zone. Attempts have also been made to evaluate them more quantitatively. For example, while the feasibility of organism movement between green zones is a crucial aspect of ecological network evaluation, Patent Document 1 proposes a method for evaluating this feasibility based on characteristics of the green zones, such as distance from the green area. Furthermore, the suitability of the green zone for the organism is also an important consideration. Regarding this, the Habitat Suitability Index (HSI) has been proposed as an indicator of habitat suitability (see, for example, Patent Document 2). [Prior art documents] [Patent Documents]

[0004] [Patent Document 1] Japanese Patent Publication No. 2015-228717 [Patent Document 2] Japanese Patent Publication No. 2011-165112 [Overview of the project]

[0005] A method for calculating an inter-green belt ecological network value according to one aspect of this disclosure includes the steps of: calculating the biomobility of organisms that make up the ecosystem using the inter-green belt characteristics between a first green belt and a second green belt and the movement characteristics of organisms that make up the ecosystem of the first green belt; identifying the local inter-organism network of the organisms that make up the ecosystem of the second green belt; calculating a local inter-organism network value using at least a part of the local inter-organism network of the second green belt; calculating an ecological connection value of the organisms that make up the ecosystem using the biomobility and the local inter-organism network value; and calculating an inter-green belt ecological network value based on the ecological connection value. [Brief explanation of the drawing]

[0006] [Figure 1] Figure 1 is a schematic diagram of a process flow including one embodiment of the present disclosure. [Figure 2] Figure 2 is a schematic diagram of a process flow including one embodiment of the present disclosure different from that of Figure 1. [Figure 3] Figure 3 is a schematic diagram of a process flow including one embodiment of the present disclosure different from those of Figures 1 and 2. [Figure 4] Figure 4 is a schematic diagram of a process flow including one embodiment of the present disclosure different from those of Figures 1 to 3. [Figure 5] Figure 5 is a schematic diagram of a local biological network and an ecological network. [Figure 6] Figure 6 is a schematic diagram of the configuration of a computer that executes a program which is one embodiment of the present disclosure. [Figure 7] Figure 7A is a display of a map of a target area in an embodiment of the present disclosure, and Figure 7B is a display of a green belt extracted from the above map. [Figure 8] Figure 8A is a display showing the local biological network of each target green belt in an embodiment of the present disclosure, and Figure 8B is a display of an enlarged view excluding the map near the second green belt in Figure 8A. [Figure 9] Figure 9A is a display showing the local biological network within each green belt and the ecological network between green belts in an embodiment of the present disclosure, and Figure 9B is a display of an enlarged view excluding the map near the second green belt in Figure 9A. [Figure 10] Figure 10 is a display showing both the ecological network value between green belts and the ecological network between green belts in an embodiment of the present disclosure. [Figure 11] Figure 11 is a display showing the ecological network between green belts in different forms according to the ecological network value in an embodiment of the present disclosure. [Figure 12]Figure 12 shows the display when one component point constituting the local interspecies network is selected by the selection means in an embodiment of the present disclosure. [Figure 13] Figure 13 is a representation showing the first and second contributions in addition to the contents shown in Figure 11, in the embodiment of this disclosure. [Modes for carrying out the invention]

[0007] [Issues this disclosure aims to address] This study aims to quantitatively evaluate the ecological network 3. Most conventional evaluations of the ecological network 3 have been qualitative. Furthermore, quantitative attempts have relied solely on the feasibility of movement of ecological organisms 1, or the ease with which they can inhabit green areas, without considering the improvement of the ecosystem due to the movement of ecological organisms 1. Therefore, the ecological network 3 has not been properly evaluated. While the ecological network 3 is formed by the movement of ecological organisms 1, the relationship between ecological organisms 1 and the local interspecies network 2 in the destination green area determines whether they contribute to the improvement of the destination ecosystem (in other words, they create few interspecies connections), or whether they greatly contribute to the improvement of the destination ecosystem (in other words, they form many interspecies connections with other organisms and greatly contribute to the formation of the local interspecies network 2).

[0008] [Effects of this disclosure] This disclosure enables the accurate and quantitative evaluation of ecological networks 3 between target green spaces and ecological networks 3 within target areas as ecological network values.

[0009] [Description of Embodiments in this Disclosure] First, the embodiments of this disclosure will be listed and described.

[0010] (1) One aspect of this disclosure is: A step of calculating the biomobility of the ecological constituent organism 1 using the inter-green belt characteristics between the first green belt and the second green belt, and the movement characteristics of the ecological constituent organism 1 of the first green belt. The steps include identifying the local interspecies network 2 of the above-mentioned ecological constituent organism 1 in the second green zone, The steps include: calculating the local interspecies network value using at least a portion of the above-mentioned second green belt local interspecies network 2; The steps include: calculating the ecological connection value of the ecological constituent organism 1 using the above-mentioned biomobility and local inter-organism network values; The steps include: calculating the ecological network value between green belts based on the above ecological connection value; This is a method for calculating the ecological network value between green belts, including [the specified element].

[0011] (2) Another aspect of this disclosure, separate from (1), is: In the step of calculating the local interspecies network value described above, In the above-mentioned second green belt local interspecies network 2, for one or more local interspecies connections 21 originating from the above-mentioned ecological constituent organism 1, the sum of the importance values ​​of each of the above-mentioned local interspecies connections 21 is used to calculate the above-mentioned local interspecies network value. (1) The method for calculating the ecological network value between green belts.

[0012] (3) Another aspect of this disclosure, separate from (1) and (2), is: In the step of calculating the local interspecies network value described above, The local interspecies network value is calculated using the individual similarity between the first green belt local interspecies network 2 or a part of the first green belt local interspecies network 2, which includes the above-mentioned ecological constituent organism 1, and the second green belt local interspecies network 2 or a part of the second green belt local interspecies network 2. (1) The method for calculating the ecological network value between green belts.

[0013] (4) Another aspect of this disclosure, separate from (1) to (3), is: The above-mentioned ecological constituent organism 1 is characterized by being identified using DNA analysis. The method for calculating the ecological network value between green belts is as described in (1) to (3).

[0014] (5) Another aspect of this disclosure, separate from (1) to (4), is: In the step of identifying the local interspecies network 2 in the second green belt described above, The method is characterized by identifying the local interspecies connection 21 using the interspecies connection database, or by referring to the local interspecies connection 21 identified using the interspecies connection database. The method for calculating the ecological network value between green belts is as described in (1) to (4).

[0015] (6) Another aspect of this disclosure, separate from (1) to (5), is: In the step of calculating the biomobility described above, At least use a database of travelable distances. The method for calculating the ecological network value between green belts is as described in (1) to (5).

[0016] (7) Another aspect of this disclosure, separate from (1) to (6), is: This method evaluates the ecological network level between green belts based on the ecological network values ​​between green belts calculated by the methods described in (1) to (6).

[0017] (8) Another aspect of this disclosure, separate from (1) to (7), is: The steps include calculating the degree of overlap between the first green belt local biodiversity network 2 and the second green belt local biodiversity network 2, The steps include: referring to the overlap threshold, if the overlap is less than the overlap threshold, omitting the calculation of the inter-green belt ecological network value; and calculating the inter-green belt ecological network value if the overlap is equal to or greater than the overlap threshold. This includes the method for calculating the inter-green belt ecological network value described in (1) to (6).

[0018] (9) Another aspect of this disclosure, separate from (1) to (8), is: The steps include calculating the inter-green belt similarity between the first green belt local biodiversity network 2 and the second green belt local biodiversity network 2, Refer to the similarity threshold between green spaces, If the similarity between the green belts is less than the threshold for similarity between the green belts, the calculation of the ecological network value between the green belts is omitted. If the similarity between the green belts is equal to or greater than the threshold for similarity between the green belts, the ecological network value between the green belts is calculated. The method described in (1) to (6), including the method described in (1) to (6).

[0019] (10) Another aspect of this disclosure, separate from (1) to (9), is: Regarding the area between target green belts in a target region that includes the first green belt having the first green belt local biodiversity network 2, ..., and the Nth green belt (where N is an integer of 2 or more) having the Nth green belt local biodiversity network 2, Based on the method for calculating the inter-green belt ecological network value described in at least one of (1) to (8), The steps include calculating the inter-green belt ecological network value between the first green belt and the other target green belts, This method for calculating regional ecological network values ​​includes the step of calculating the first green belt regional ecological network value based on the above-mentioned inter-green belt ecological network value.

[0020] (11) Another aspect of this disclosure, apart from (1) to (10), is: Between the target green belts in the target area, which includes the first green belt having the first green belt local biodiversity network 2, ..., and the Nth green belt (where N is an integer of 2 or more) having the Nth green belt local biodiversity network 2, Based on the method for calculating the inter-green belt ecological network value described in at least one of (1) to (8), The steps include calculating the ecological network value between all of the above target green belts, This method for calculating regional ecological network values ​​includes the step of calculating the overall regional ecological network value between green belts based on the above-mentioned inter-green belt ecological network value.

[0021] (12) Another aspect of this disclosure, apart from (1) to (11), is: This is a method for evaluating the regional ecological network level based on the above-mentioned first green belt regional ecological network value obtained by (10) or the above-mentioned inter-green belt regional ecological network value obtained by (11).

[0022] (13) Another aspect of this disclosure, apart from (1) to (12), is: This is a method for calculating the first contribution of the first green belt based on the above-mentioned ecological network value of the first green belt area obtained by (10) and the above-mentioned ecological network value of all green belt areas obtained by (11).

[0023] (14) Another aspect of this disclosure, apart from (1) to (13), is: Regarding the target area which includes the first green belt having the first green belt local biodiversity network 2, ..., and the Nth green belt (where N is an integer of 2 or more) having the Nth green belt local biodiversity network 2, Using the above-mentioned ecological network value between green belts calculated based on the method for calculating the ecological network value between green belts described in at least one of (1) to (8), The above-mentioned inter-green belt region ecological network value and the inter-green belt region ecological network value when the first green belt is removed are calculated. This method evaluates the second contribution of the first green belt based on the above-mentioned inter-green belt region ecological network value and the inter-green belt region ecological network value when the first green belt is removed.

[0024] (15) Another aspect of this disclosure, apart from (1) to (14), is: Computer 4, A step of calculating the biomobility of the ecological constituent organism 1 using the inter-green belt characteristics between the first green belt and the second green belt, and the movement characteristics of the ecological constituent organism 1 of the first green belt, The steps include identifying the local interspecies network 2 of the above-mentioned ecological constituent organism 1 in the second green zone, The steps include: calculating the local interspecies network value using at least a portion of the above-mentioned second green belt local interspecies network 2; The steps include: calculating the ecological connection value of the ecological constituent organism 1 using the above-mentioned biomobility and local inter-organism network values; The steps include: calculating the ecological network value between green belts based on the above ecological connection value; This is a program for calculating the ecological connection value between green spaces, which enables the execution of the following:

[0025] (16) Another aspect of this disclosure, apart from (1) to (15), is: The above local interspecies network value is the sum of the importance of each local interspecies connection 21 that originates from the ecological constituent organism 1 in the second local interspecies network 2, as described in (15).

[0026] (17) Another aspect of this disclosure, separate from (1) to (16), is: In the step of calculating the local interspecies network value described above, In the above-mentioned second green belt local interspecies network 2, for one or more local interspecies connections 21 originating from the above-mentioned ecological constituent organism 1, the sum of the importance values ​​of each of the above-mentioned local interspecies connections 21 is used to calculate the above-mentioned local interspecies network value. This is the program for calculating the ecological connection value between green belts, as described in (15).

[0027] (18) Another aspect of this disclosure, apart from (1) to (17), is: The program for calculating the ecological connection value between green belts, as described in (15) to (17), is characterized in that the above-mentioned ecological constituent organism 1 is identified using DNA analysis.

[0028] (19) Another aspect of this disclosure, separate from (1) to (18), is: In the step of identifying the local interspecies network 2 in the second green belt described above, The method is characterized by identifying the local interspecies connection 21 using the interspecies connection database, or by referring to the local interspecies connection 21 identified using the interspecies connection database. This is a program for calculating the ecological connection value between green belts, as described in (15) to (18).

[0029] (20) Another aspect of this disclosure, separate from (1) to (19), is: In the step of calculating the biomobility described above, At least use a database of travelable distances. This is a program for calculating the ecological connection value between green belts, as described in (15) to (19).

[0030] (21) Another aspect of this disclosure, apart from (1) to (20), is: Computer 4, The steps include calculating the degree of overlap between the first green belt local biodiversity network 2 and the second green belt local biodiversity network 2, The steps include: referring to the overlap threshold, if the overlap is less than the overlap threshold, omitting the calculation of the inter-green belt ecological network value; and calculating the inter-green belt ecological network value if the overlap is equal to or greater than the overlap threshold. This is a program for calculating the ecological connection value between green belts, as described in (15) to (20), which is executed.

[0031] (22) Another aspect of this disclosure, apart from (1) to (21), is: Computer 4, The steps include calculating the inter-green belt similarity between the first green belt local biodiversity network 2 and the second green belt local biodiversity network 2, The steps include: referring to the similarity threshold between green belts, if the degree of overlap is less than the overlap threshold, omitting the calculation of the ecological network value between green belts; and calculating the ecological network value between green belts if the degree of overlap is equal to or greater than the overlap threshold. This is a program for calculating the ecological connection value between green belts, as described in (15) to (21), which is executed.

[0032] (23) Another aspect of this disclosure, separate from (1) to (22), is: Regarding the target area which includes the first green belt having the first green belt local biodiversity network 2, ..., and the Nth green belt (where N is an integer of 2 or more) having the Nth green belt local biodiversity network 2, This is a program for calculating regional ecological network values, which causes computer 4 to perform the step of calculating a first green belt regional ecological network value based on the inter-green belt ecological network value between the first green belt and other target green belts, calculated by computer 4 through the execution of the program for calculating inter-green belt ecological network values ​​described in at least one of (15) to (22).

[0033] (24) Another aspect of this disclosure, apart from (1) to (23), is: Regarding the target area which includes the first green belt having the first green belt local biodiversity network 2, ..., and the Nth green belt (where N is an integer of 2 or more) having the Nth green belt local biodiversity network 2, This is a program for calculating regional ecological network values, which causes computer 4 to perform the step of calculating the overall regional ecological network value between green belts based on the inter-green belt ecological network values ​​between all the target green belts calculated by computer 4 through the execution of the program for calculating the inter-green belt ecological network value described in at least one of (15) to (22).

[0034] (25) Another aspect of this disclosure, apart from (1) to (24), is: This program causes computer 4 to perform the step of calculating the first contribution of the first green belt based on the first green belt area ecological network value calculated by computer 4 by executing the program described in (23) and the inter-green belt area ecological network value calculated by computer 4 by executing the program described in (24).

[0035] (26) Another aspect of this disclosure, apart from (1) to (25), is: Regarding the target area which includes the first green belt having the first green belt local biodiversity network 2, ..., and the Nth green belt (where N is an integer of 2 or more) having the Nth green belt local biodiversity network 2, Based on the ecological network value between green belts calculated by computer 4 by executing the program for calculating the ecological network value between green belts described in at least one of (15) to (22), This program causes computer 4 to perform the steps of: calculating the above-mentioned ecological network value for all green belts and the ecological network value for all green belts when the first green belt is removed; and calculating the second contribution of the first green belt based on the above-mentioned ecological network value for all green belts and the ecological network value for all green belts when the first green belt is removed.

[0036] (27) Another aspect of this disclosure, separate from (1) to (26), is: Computer 4, This is a program that executes the step of displaying the above-mentioned ecological network 3.

[0037] (28) Another aspect of this disclosure, separate from (1) to (27), is: In the step of displaying the above ecological network 3, the above ecological network 3 and the map are displayed overlaid on each other. The program is as described in (27).

[0038] (29) Another aspect of this disclosure, separate from (1) to (28), is: In the step of displaying the ecological network 3 described above, the form of the ecological network 3 is changed and displayed according to the ecological network value or the ecological network level. The program described in (27) or (28).

[0039] (30) Another aspect of this disclosure, separate from (1) to (29), is: Computer 4, This is a program that performs the step of displaying at least one value selected from the group consisting of the above ecological network value, the above first contribution, and the above second contribution.

[0040] (31) Another aspect of this disclosure, apart from (1) to (30), is: Computer 4, Further, perform the step of displaying the local biological network 2 of at least one of the target green areas. The programs are those described in (27) through (30).

[0041] (32) Another aspect of this disclosure, apart from (1) to (31), is: The form of the local interspecies network 2 described above and the form of the ecological network 3 described above are different. The programs are those described in (27) through (31).

[0042] (33) Another aspect of this disclosure, separate from (1) to (32), is: Computer 4, The steps include: displaying at least one component point in the local interspecies network 2 in a selectable manner using the selection means 45; When at least one of the above component points is selected, the step is to display information about the ecological component organism 1 indicated by the selected component point, The program described in (27) to (32) further executes the above.

[0043] (34) Another aspect of this disclosure, separate from (1) to (33), is: The morphology of the above-mentioned constituent points differs depending on the type of ecological organism 1 represented by the above-mentioned constituent points. The program described in (33).

[0044] (35) Another aspect of this disclosure, separate from (1) to (34), is: Computer 4, The steps include: displaying at least one of the local interspecies connections 21 in the local interspecies network 2 in a way that can be selected by the selection means 45; When at least one of the above-mentioned local interspecies connections 21 is selected, the step is to display information about the selected local interspecies connection 21, The program described in (27) to (34) further executes the above.

[0045] (36) Another aspect of this disclosure, apart from (1) to (35), is: The form of the above-mentioned local interspecies connection 21 differs depending on the type of interaction between the ecological constituent organisms 1 that the above-mentioned local interspecies connection 21 represents. The program described in (35).

[0046] (37) Another aspect of this disclosure, separate from (1) to (36), is: This is a recording medium readable by computer 4, on which programs (15) through (36) are recorded.

[0047] (38) Another aspect of this disclosure, separate from (1) to (37), is: By running the program, A step of calculating the biomobility of the ecological constituent organism 1 using the inter-green belt characteristics between the first green belt and the second green belt, and the movement characteristics of the ecological constituent organism 1 of the first green belt, The steps include identifying the local interspecies network 2 of the above-mentioned ecological constituent organism 1 in the second green zone, The steps include: calculating the local interspecies network value using at least a portion of the above-mentioned second green belt local interspecies network 2; The steps include: calculating the ecological connection value of the ecological constituent organism 1 using the above-mentioned biomobility and local inter-organism network values; The steps include: calculating the ecological network value between green belts based on the above ecological connection value; It is a device that performs that task.

[0048] [Details of the embodiments of this disclosure] The embodiments of this disclosure will be described in detail below, with reference to the drawings as appropriate. Figures 1 to 4 are schematic diagrams of the process flow. Figure 5 is a schematic diagram of the local inter-organism network 2 and the ecological network 3. Figure 6 is a schematic diagram of the configuration of the computer 4 that executes the program. Figures 7A and 7B are maps of the target area in the embodiment. Figure 8 is a diagram of the local inter-organism network of each green belt in the embodiment. Figures 9A and 9B are diagrams in the embodiment showing the ecological organisms 1 between green belts connected by straight lines. Figures 10 to 13 are diagrams showing the inter-green belt ecological network 3. The same or corresponding parts in the figures are denoted by the same reference numerals and their descriptions will not be repeated. Furthermore, at least some of the embodiments described below may be arbitrarily combined. Note that the figures are intended to facilitate understanding and may include elements that are outside the scope of this disclosure as indicated by the claims. Also note that the elements and dimensions such as length, width, thickness, and depth may differ from those in reality. Furthermore, the figures are for illustrative purposes only and do not limit the scope of this disclosure. This disclosure is not limited to the figures or the embodiments shown, but is indicated by the claims and is intended to include all modifications within the meaning and scope equivalent to the claims.

[0049] <Process Flow> Figure 1 is a schematic diagram of a process flow including one embodiment of the present disclosure. It consists of the following steps. Step S5 is placed after step S4, but may be placed before steps S3 or S4. S1: Identify the target green space within the target area. S2: Identify the organisms that make up the ecosystem of the target green space. S3: Calculate the distance between green belts for the target green belts. S4: Calculate the degree of biological movement between green belts based on the characteristics of the green belts and the movement characteristics of the organisms that make up the ecosystem. S5: Identify the local interbiotic networks within the target green space. S6: Calculate the local interspecies network value. S7: Calculate the ecological connection value and calculate the ecological network value between green belts. S7’: Determine the ecological network level between green belts.

[0050] Figure 2 is a schematic diagram of a process flow including another embodiment of the present disclosure different from Figure 1. The S7’ step is excluded from the steps described in Figure 1, and the S8 step, S8’ step, and S9 step follow the S7 step, which is different. S8: Calculate the regional ecological network value. S8’: Determine the regional ecological network level. S9: Calculate the contribution degree in the regional ecological network of the green belt.

[0051] Figure 3 is a schematic diagram of a process flow including another embodiment of the present disclosure different from Figures 1 and 2. It is different from Figure 1 in that it includes an S10 step between the S2 step and the S3 step. The S10 step is arranged after the S2 step in Figure 3, but it may also be arranged after the S3 step, S4 step, or S5 step. If it is arranged after the S5 step, the similarity between green belts can be calculated. S10: Calculate the duplication degree or the similarity between green belts. Based on these, narrow down the target green belts.

[0052] Figure 4 is a schematic diagram of a process flow including another embodiment of the present disclosure different from Figures 1 to 3. It is different from Figure 2 in that it includes an S11 step instead of the S8‘ step and S9 step. In Figure 4, the S7‘ step, S8‘ step, and S9 step are not arranged, but these can be arranged before the S11 step, and the ecological network level between green belts, the regional ecological network level, and the contribution degree can be displayed in the S11 step. S11: Display the regional ecological network, etc.

[0053] Hereinafter, each step and related phrases will be described. The following, <S1: Identification of target green belts><S1: Identification of target green belts> In the following, <S1: Identification of target green belts> In step S1, the target green space is identified within the target area.

[0054] In the target area, identify multiple green spaces to be considered when designing Ecological Network 3. These green spaces may be identified from maps showing green areas, land use maps, plant vegetation maps, etc. For example, if a park is designated as the target green space, the outer edge of the park's grounds may be used as the outer edge of the target green space. Alternatively, data identifying the target green space (e.g., location data) may be received. The target green space may be a fictitious green space that does not exist. A fictitious green space can be used, for example, to simulate the Ecological Network 3 of the target area if such a fictitious green space were formed. Furthermore, existing green spaces do not need to be designated as target green spaces. Not designating existing green spaces as target green spaces can be used, for example, to simulate the Ecological Network 3 of the target area if such existing green spaces disappear.

[0055] The program may cause the computer 4 to perform this step. The computer 4 may be made to identify the target green area based on an algorithm that extracts the target green area from a map showing green areas, a land use map, a plant vegetation map, etc. For example, the computer may be made to extract the extent of the green area from a map in which green areas are displayed in different colors by color binarization and multilevel processing, calculate the data of the extracted green area, and refer to a storage means 42 that stores a predetermined threshold (hereinafter sometimes referred to as the green area determination threshold), for example, a threshold for the area of ​​the green area, to identify the target green area if it satisfies the conditions of the green area determination threshold. If data of the target green area (for example, location data) is stored in the storage means 42 of the computer 4 in advance, the computer 4 may be made to refer to it to identify the target green area.

[0056] <Green belt> The green belt refers to an area rich in greenery, i.e., an area with many growing plants, such as a park in the city surrounded by areas with little greenery, such as buildings, houses, parking lots, factories, grounds, etc., or a commercial facility with many planted trees. The target green belt may be specified considering its area, the biodiversity of the living organisms, the density of the growing plants, the presence or absence of water resources such as rivers, ponds, and pools, and the conservation status of the ecosystem. For example, a green belt with an area of 5,000 m or more may be used as the target green belt, or a green belt with an area of 10,000 m 2 or more may be used as the target green belt, or a green belt with an area of 20,000 m 2 or more may be used as the target green belt, or a green belt with an area of 30,000 m 2 or more may be used as the target green belt, or a green belt with an area of 50,000 m 2 or more may be used as the target green belt, or a green belt with an area of 100,000 m 2 or more may be used as the target green belt. Within the target green belt, the growth density of plants does not necessarily have to be constant, and the growing areas of plants may be scattered within the target green belt. Adjacent green belts may be considered as one target green belt. The site of a large building or group of buildings with a lot of greenery or the site of a commercial facility with a lot of greenery may be considered as one target green belt.

[0057] <S2: Identification of Ecological Constituent Organisms><000​​​​​​The ecological constituent organisms 1 are organisms that constitute the ecosystem of the target green area, such as plants, insects, birds, microorganisms, etc. Known methods can be used to identify the ecological constituent organisms 1. For example, the ecological constituent organisms 1 may be identified through fieldwork, or by analyzing open-source data such as animal and insect habitat maps, plant vegetation maps, topographic maps, land use maps, water vein maps, images or videos of the target green area such as GOOGLE Street View, and satellite images to identify the ecological constituent organisms 1. Also, the ecological constituent organisms 1 may be identified by DNA analysis (also called environmental DNA analysis) of samples such as soil, water, and plants collected from the target green area, particularly DNA analysis using next-generation sequencing. DNA analysis can obtain information on organisms that exist or have existed through biological feces and relics such as body composition (hair, feathers, etc.). Also, DNA analysis is useful because it can examine invisible microbial communities. Although microorganisms are invisible, they greatly affect plant growth, and plants affect insects, birds, and other animals, so they are important ecological constituent organisms 1 in the local biological network 2.

[0059] <DNA analysis> Methods for DNA analysis and gene base sequence analysis include, for example, DNA microarray, next-generation sequencing, PCR method, DGGE method, T-RFLP method, FISH method, etc., but are not limited thereto. The DNA analysis may be next-generation sequencing. This is because next-generation sequencing is highly sensitive and has excellent accuracy. Next-generation sequencing includes shotgun metagenomic analysis method and amplicon sequencing, such as 16S rRNA gene analysis (DNA metabarcoding method targeting the prokaryotic 16S rRNA region), 18S rRNA gene analysis (DNA metabarcoding method targeting the eukaryotic 18S rRNA region), and fungal ITS (DNA metabarcoding method targeting the fungal ITS (internal transcribed spacer) region). 16S rRNA gene analysis is useful for identifying bacteria and archaea, which are microorganisms. 18S rRNA gene analysis is useful for identifying various eukaryotes including fungi and internal and external parasitic organisms, which are microorganisms. Fungal ITS is useful for identifying fungi. Calibration may be performed when analyzing DNA data by adjusting the concentration of a standard sequence fragment, such as an artificially designed DNA sequence or λ phage, and adding it to the PCR solution, and the absolute abundance (nucleic acid concentration) of each biological species may be estimated. The above analysis methods may be combined.

[0060] <S3: Calculation of green space distance> In step S3, the green space distance is calculated for the target green space. It may be performed before step S2. The green space distance, for example, the green space distance between the first green space and the second green space, is calculated from the position information and range information of the target green space specified in step S1. It may be substituted by receiving data indicating the green space distance, or if data indicating the green space distance has been received in the previous step, it may be substituted by referring to that data.

[0061] The program may cause computer 4 to execute this step. The program may cause computer 4 to measure the distance between target green belts based on the location and extent information of the target green belts identified in step S1, and calculate the distance between green belts. If data indicating the distance between green belts has been input to computer 4, the program may cause computer 4 to calculate the distance between green belts by referring to that data.

[0062] Based on the green belt distance calculated in this step, the target green belts may be narrowed down in subsequent steps. The program may also have the computer 4 narrow down the target green belts in subsequent steps. This reduces the computational load in subsequent steps. For example, if the distance between green belts exceeds a predetermined value, the ecological network 3 between those green belts may not be considered or calculated in subsequent steps. Alternatively, for three or more target green belts, the target green belts may be narrowed down by considering the above-mentioned distance between green belts and their relative positions. For example, if the distance between the first and third green belts is greater than the distance between the first and second green belts, for example, 1.5 times greater, and the distance between the second and third green belts is smaller than the distance between the first and second green belts, the ecological network 3 between the first and third green belts may not be considered or calculated in subsequent steps.

[0063] <Distance between green spaces> The distance between green belts is a major factor in the characteristics between green belts, which will be described later. The distance between the first green belt and the second green belt may be the closest distance between the outer edges of the first green belt and the second green belt. If the movable distance of the ecological constituent organism 1 is greater than the closest distance, there is a possibility of moving between the green belts. The distance between the green belts may also be the distance between representative points within each target green belt. Examples of the representative points include, but are not limited to, the centroid of the area of the target green belt, the centroid of the area of the green space included in the target green belt, etc. The distance between the green belts may be the distance between "the point where the straight line extending in the direction from the representative point of the first green belt to the representative point of the second green belt intersects the outer edge of the first green belt" and "the point where the straight line extending in the direction from the representative point of the second green belt to the representative point of the first green belt intersects the outer edge of the second green belt".

[0064] Through a program, the computer 4 may be made to acquire data on the direction and distance from the representative point of each target green belt to an arbitrary point on the outer edge, and calculate the distance between the green belts. When data on the direction and distance from the representative point of each target green belt to an arbitrary point on the outer edge is stored in the storage means 42 of the computer 4, those data may be referred to and the distance between the green belts may be calculated.

[0065] Through a program, the computer 4 may be made to acquire position data of an arbitrary point on the outer edge of each target green belt, and calculate the distance between the green belts, for example, the closest distance between the first green belt and the second green belt from the position data of the first green belt and the position data of the second green belt. When position data of an arbitrary point on the outer edge of each target green belt is stored in the storage means 42 of the computer 4, those data may be referred to and the distance between the green belts may be calculated. When data on the distance between the green belts of each target green belt is stored in the storage means 42 of the computer 4, the distance between the green belts may be calculated by referring to that data.

[0066] <S4: Calculation of Biological Mobility> In step S4, the degree of biological movement between green belts is calculated based on the characteristics of the green belts and the movement characteristics of the constituent organisms 1.

[0067] The degree of biological mobility represents whether or not organism 1, a component of the ecosystem, can move between target green zones, and the degree of possibility of such movement. In this step, the characteristics between green zones are calculated considering the distance between green zones calculated in step S3, the movement characteristics of organism 1 are calculated, and the degree of biological mobility between green zones is calculated from the above characteristics between green zones and the above movement characteristics. This step may be executed by a program on computer 4.

[0068] If step S6 is performed first and the local interspecies network value is obtained, and the local interspecies network value is smaller than a predetermined threshold, the calculation of biomobility may be omitted. This reduces the computational load.

[0069] Based on the inter-green belt characteristics calculated in this step, the target inter-green belts may be narrowed down in subsequent steps. The program may also have the computer 4 narrow down the target inter-green belts in subsequent steps. This reduces the computational load in subsequent steps. For example, if the inter-green belt characteristics exceed a predetermined value, the ecological network 3 between those inter-green belts may not be considered or calculated in subsequent steps. Alternatively, for three or more target green belts, the target inter-green belts may be narrowed down by considering the above inter-green belt characteristics and their relative positions. For example, if the inter-green belt characteristics between the first and third green belts are greater than the inter-green belt characteristics between the first and second green belts, for example, 1.5 times or more, and the inter-green belt characteristics between the second and third green belts are smaller than the inter-green belt characteristics between the first and second green belts, the ecological network 3 between the first and third green belts may not be considered or calculated in subsequent steps.

[0070] <Characteristics of Green Belts> The characteristics between green belts are calculated using the distance between green belts calculated in step S3. Alternatively, the distance between green belts may be used as the characteristics between green belts. This simplifies the calculation. In addition to the distance between green belts, factors that hinder the movement of organisms 1, such as rivers, seas, roads, factories, and commercial areas, as well as factors such as distance from water sources, topography, and season, and factors that assist the movement of organisms 1, such as the presence of green corridors and scattered small green areas, may be considered. For example, if there are factors that assist the movement of organisms, the characteristics between green belts may be calculated by multiplying the actual distance between green belts by a green belt distance coefficient of less than 1. If there are factors that hinder movement, the characteristics between green belts may be calculated by multiplying the actual distance between green belts by a green belt distance coefficient of greater than 1. Alternatively, data indicating the characteristics between green belts (e.g., distance between green belts or green belt distance coefficient) may be received as a substitute.

[0071] The program may cause the computer 4 to calculate the characteristics between green belts. The state of the green belts may be extracted from a map showing green spaces in the target area, a land use map, a plant vegetation map, etc., and the characteristics between green belts may be calculated based on a predetermined algorithm using the state of the green belts and the distance between green belts calculated in step S3. For example, the program may determine a distance coefficient between green belts based on the state of the green belts, the presence or absence of factors that hinder the movement of ecological organisms 1 such as rivers, seas, roads, factories, and commercial areas, factors such as distance from water veins, topography and season, and the presence or absence of factors that assist the movement of ecological organisms 1 such as green corridors and scattered small green areas, and then calculate the characteristics between green belts by multiplying the distance coefficient between green belts and the distance between green belts calculated in step S3. If data on the characteristics between green belts is stored in the storage means 42 of the computer 4, the characteristics between green belts may be calculated by referring to that data.

[0072] <Movement characteristics, possible movement distance> Movement characteristics are calculated using the distance that can be moved. Alternatively, the distance that can be moved may be used as the movement characteristic, which simplifies the calculation. In addition to the distance that can be moved, factors such as the number of organisms that make up the ecosystem 1 within the target green area, climate (season, temperature, humidity, wind direction, etc.), and the presence of other organisms that assist the movement of organisms that make up the ecosystem 1 may also be considered.

[0073] The distance that can be moved is a value determined for each organism that makes up the ecosystem. Instead of determining the distance that can be moved for each individual organism, a representative value for the same species may be used, such as 1 km for insects and 5 km for birds. Alternatively, a database of the distances that can be moved by organisms may be prepared and referenced.

[0074] In addition to setting the possible travel distance for organisms that move between green spaces on their own, such as insects and birds (migrating organisms), and plants whose pollen and seeds are dispersed by the wind, it is also possible to set the possible travel distance for organisms that are transported by migrating organisms, such as organisms that are eaten by migrating organisms and transported between green spaces as seeds in their feces, or organisms that attach to the bodies of migrating organisms and travel between target green spaces (transported organisms). Since transported organisms move with the help of migrating organisms, when considering movement between green spaces, the presence of migrating organisms and the distance they travel should be taken into consideration.

[0075] The program may cause the computer 4 to calculate the distance it can move and its movement characteristics for each organism 1. If the computer 4's memory 42 stores a database of possible distances for organisms, it may be used to calculate the distance it can move and its movement characteristics by referring to this database. If the computer 4's memory 42 contains data on factors such as the number of organisms 1 in the target green area, climate (season, temperature, humidity, wind direction, etc.), and the presence of other organisms that assist in the movement of organisms 1, it may be used to refer to this data and calculate the movement characteristics from the distance it can move according to a predetermined algorithm. If data on movement characteristics is already stored in the computer 4's memory 42, it may be used to calculate the movement characteristics by referring to this data.

[0076] <Biological mobility> The biomobility rate represents whether or not organism 1 can move between target green zones, and the degree of possibility of such movement. The biomobility rate of organism 1α from the first green zone to the second green zone (hereinafter, d αAs an example of the calculation method (which may be expressed as such), if the above greenbelt interval characteristics are below the above movement characteristics, the biological mobility is set to 1 assuming that the ecological connection 31 is formed, and if it is greater than the movable distance, the ecological connection 31 is not formed and the biological mobility is set to 0. However, the calculation method is not limited to this.

[0077] In the above example, the biological mobility is a discontinuous numerical value according to the binary choice of whether or not the target greenbelt interval of the ecological constituent organism 1 allows movement, that is, the biological mobility d α is set to 1 or 0, but it may be selected from a certain continuous numerical range according to the possibility of biological movement and the ease of movement between greenbelts. The greater the movement characteristics are than the greenbelt interval characteristics, the greater the biological mobility may be. The greenbelt interval characteristics (hereinafter sometimes expressed as D 12 between the first greenbelt and the second greenbelt) and the movement characteristics of the ecological constituent organism 1α (hereinafter sometimes expressed as T <> α may be used (for example, d α =(T α / D 12 )-1). For example, the biological mobility may be calculated based on the area within the second greenbelt that can be covered by the circle of the movement characteristics T α from the point on the outer edge related to the closest distance between the first greenbelt and the second greenbelt. For example, the ratio of the area of the overlapping part (referred to as the overlapping area) between "the range of the movement characteristics T α from the point on the outer edge within the first greenbelt related to the above closest distance" and "the second greenbelt" to the area of the second greenbelt may also be used as the biological mobility (d α =(overlapping area / area of the second greenbelt)).

[0078] When considering the biological mobility between the first greenbelt and the second greenbelt, if there is a third greenbelt, in addition to the direct biological movement between the first greenbelt and the second greenbelt, the indirect biological movement via the third greenbelt may be considered. There may be cases where biological movement can be grasped more accurately. However, the calculation of biological mobility becomes complicated and the calculation load increases.

[0079] The computer 4 may be caused to execute this step by a program. The computer 4 may be caused to calculate the biological mobility based on a predetermined algorithm or the like from the characteristics between green belts and the movement characteristics.

[0080] <S5: Identification of the local biological network> In step S5, the local biological network 2 of the target green belt is identified. The computer 4 may be caused to execute this step by a program.

[0081] Identify the local biological network 2 (second green belt local biological network) in the second green belt of the ecological constituent organism 1α of the first green belt. If α is not included as the ecological constituent organism 1 of the second green belt, the above second green belt local biological network may be identified assuming that α exists. It may be identified by receiving data of the local biological connection 21 or the local biological network 2, or by referring to the storage means 42 in which the data of the local biological connection 21 or the local biological network 2 is stored. In subsequent steps, when obtaining the ecological network value for the movement of the ecological constituent organism 1 of the first green belt to the second green belt and the ecological network value for the movement of the ecological constituent organism 1 of the second green belt to the first green belt, it is efficient to also identify the local biological network 2 in the first green belt in this step. Also, for the individual similarity in method 3 of the local biological network value in step S6 and the calculation of the similarity between green belts in step 10 described later, it is efficient to identify the local biological network 2 of both the first green belt and the second green belt, or all the local biological networks 2 of the target green belt in this step.

[0082] If step S4 has been performed first and biomobility has been obtained, and the biomobility of an ecological constituent organism 1α in the first green belt is less than a predetermined value, the "biomobility threshold," then the local interspecies network 2 may not be identified for that ecological constituent organism 1α. This can reduce the computational load. Step S5 may be performed before steps S4 or S3. Since identifying the local interspecies network 2 requires identifying the ecological constituent organisms 1, this may be done in step S2, which identifies at least the ecological constituent organisms 1 in the first green belt.

[0083] <Local interspecies connections, local interspecies networks> Local interspecies networks 2 are a collection of local interspecies connections 21. Local interspecies connections 21 are the connections between organisms that make up the ecosystem within a green belt. Examples include, but are not limited to, connections where one contributes to the growth and reproduction of the other, connections where one contributes to the growth and reproduction of the other, and reciprocal relationships. For example, from the perspective of pollination and seed dispersal, insects such as bumblebees, honeybees, hoverflies, beetles, and swallowtail butterflies, as well as birds such as white-eyes and jays, and plants that attract insects such as chestnut, thistle, sawtooth oak, Japanese oak, and azalea are connected. From the perspective of predator-prey relationships, swallowtail butterflies and Aristolochia, and geometrid moths and camphor trees are connected. Furthermore, from the perspective of providing habitats and environments, there are connections between the Japanese salamander, the black diving beetle, the eight-tailed dragonfly and sundews, bladderworts, the stag beetle and acorn-bearing plants of the Fagaceae family such as sawtooth oak and konara oak, the fritillary butterfly, the harvest mouse and Japanese pampas grass, which are major components of grasslands.

[0084] When determining whether the local biological connection 21 can be formed among ecological constituent organisms, information on the local biological connections 21 that can be formed may be extracted from a large number of known documents (for example, published by Kinoshita-kun, Asakusu Takamisawa, and Makoto Ito, "Illustrated Encyclopedia of Japanese Honeybees", published by Hokkaido University), compiled, and the biological connection database thus formed may be referred to. The biological connection data stored in the above biological connection database may be 5,000 or more. It may be 10,000 or more. It may be 20,000 or more. It may be 50,000 or more. Also, the local biological connection 21 may be specified by DNA analysis. For example, by analyzing the DNA of bird droppings, the local biological connection 21 between the bird and the organisms eaten by the bird can be specified.

[0085] When determining whether the local biological connection 21 can be formed among ecological constituent organisms, the characteristics of the ecological constituent organism 1, season, water veins and terrain within the green belt, sunlight intensity, temperature and humidity, and land use history (changes in the usage forms such as forests, residential areas, satoyama, factories, commercial areas, etc.) may be considered.

[0086] The program may cause the computer 4 to refer to the biological connection database stored in the storage means 42, etc., to specify the local biological connection 21, and thus the local biological network 2. When the data of the local biological connection 21 is input to the storage means 42 of the computer 4, the local biological connection 21, and thus the local biological network 2, may be specified by referring to it.

[0087] <S6: Calculation of local biological network value> In step S6, for the local biological network 2 specified in step S5, the local biological network value is calculated. The program may cause the computer 4 to execute this step.

[0088] <Local biological network value> Based on the local interspecies connections 21 identified in step S5, the local interspecies network value (hereinafter referred to as L) of the ecological constituent organisms 1α of the first green belt for the second green belt. 1α2 The following methods 1 to 3 are given as examples of how to calculate (sometimes expressed as), but are not limited to these. The program will send L to computer 4. 1α2 You may have the computer calculate this. You may also have computer 4 perform the following methods 1 to 3.

[0089] <Method 1> The number of local interspecies connections 21 identified in the second green belt for the organisms 1α that make up the ecosystem of the first green belt (counting each local interspecies connection 21 as 1) may be used as the local interspecies network value for the organisms 1α that make up the ecosystem of the first green belt in relation to the second green belt. 1α2 For example, k can be calculated using formula [1]. In the following formula, k αβ In the second green belt, this can be calculated as 1 if there is a local interspecies connection 21 between ecological organism 1α and ecological organism 1β, and 0 if there is no such connection.

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[0090] <Method 2> For each local interspecies connection 21 identified in the second green belt for each ecological organism 1α in the first green belt, a value corresponding to importance (hereinafter sometimes referred to as "importance") may be assigned, and the sum of these values ​​may be used as the local interspecies network value for the ecological organism 1α in the first green belt in the second green belt. For example, in the identification of ecological organisms 1 in the local interspecies network 2, if a numerical imbalance occurs with other organisms as a result of focusing on identifying a certain group of organisms, a small importance value may be assigned to the ecological organism 1 of that group. Also, for ecological organisms 1 that are identified in large numbers of similar species, a small importance value may be assigned to each of them. Furthermore, an importance value may be assigned to an ecological organism 1 that can form local interspecies connections 21 with many other ecological organisms 1. The importance value may be set to 1 when a local interspecies connection 21 is formed, and to 0 when it is not formed. Method 1 and formula 1 above correspond to this case. Centrality, an indicator of network analysis, may be calculated, and importance may be determined using this centrality. Centrality may be used as the importance. By-circuiting centrality may be adopted as the centrality. The centrality of the ecological organism 1 in the second green belt in the local interspecies network 2 of the second green belt may be used to calculate the importance of the local interspecies connection 21 between an ecological organism 1 moving from the first green belt to the second green belt and an ecological organism 1 in the second green belt. The above-mentioned interspecies connection database may store the above-mentioned importance. The above-mentioned importance may be identified by referring to the interspecies connection database.

[0091] The importance of the local interspecies connections 21 between the organisms 1α that make up the ecosystem of the first green belt and the organisms 1β that make up the ecosystem of the second green belt in the second green belt is k. 1α2β If expressed as, L 1α2This may be calculated, for example, by formula [2]. In methods 1 and 2, the local interspecies network value for the movement of ecological organisms 1α from the first green zone to the second green zone may differ from the local interspecies network value for the movement from the second green zone to the first green zone. Because the values ​​may differ depending on the direction of movement, the local interspecies network 2 between green zones can be evaluated with high accuracy.

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[0092] <Method 3> The local interspecies network value for organism 1α of the first green belt in the second green belt is the individual similarity (hereinafter, S) between the local interspecies network 2 of the first green belt, which includes organism 1α of the first green belt, or a part of the local interspecies network 2 of the first green belt, and the local interspecies network 2 of the second green belt, which includes organism 1α (including cases where it is assumed to exist), or a part of the local interspecies network 2 of the second green belt. 1α2α The calculation may be based on (sometimes expressed as). This is because if the local interspecies networks 2 are similar, there is a high probability that organisms that have moved between green belts will be able to easily establish themselves in their new locations. For example, if the individual similarity is below a predetermined value or individual similarity threshold, it may be assumed that there is no ecological connection 31, and the local interspecies network value may be set to 0. Alternatively, the local interspecies network value may be calculated based on the individual similarity. For example, L 1α2 This may be calculated using equation [3]. Since the local interspecies network value for the movement of ecological organism 1α from the first green zone to the second green zone and the local interspecies network value for the movement from the second green zone to the first green zone are the same, there is no need to consider the direction of movement, the calculation is simple and the computational load is small.

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[0093] As a method for calculating individual similarity, statistical analysis of similarity patterns may be performed using a similarity index or a dissimilarity index. For example, a dissimilarity index such as the Bray-Curtis index, Jaccard index, or Chao index may be obtained, and the similarity may be calculated based on the value. For example, when the dissimilarity can take a value from 0 to 1, a method of using the value obtained by subtracting the dissimilarity from 1 as the similarity is exemplified, but it is not limited thereto.

[0094] <S7: Calculation of ecological network value between green areas> In step S7, an ecological connection value is calculated, and an ecological network value between green areas is calculated. The computer 4 may be caused to execute this step by a program.

[0095] <Ecological connection, ecological connection value> The ecological connection 31 is the connection between green areas of the ecological constituent organisms 1. In this step, the ecological connection value, which is a quantitative evaluation value of the ecological connection 31, is calculated based on the above biological mobility and the above local biological network value. When considering the ecological connection 31, in addition to the characteristics between green areas (such as the distance between green areas) and the movement characteristics of the ecological constituent organisms 1 (such as the movable distance), the local biological network value of the green area to which the ecological constituent organisms 1 move, and the affinity with the local biological network 2 of the green area to which they move (the ease of establishment of the above ecological constituent organisms 1) are considered, which is one of the features of the present disclosure.

[0096] The ecological connection value between the ecological constituent organism 1α of the first green area and the second green area (hereinafter, may be represented by E 1α2 ) may be calculated based on the biological mobility (d α ) of the ecological constituent organism 1α and the local biological network value (L 1α2 ) of the ecological constituent organism 1α. The computer 4 may be caused to calculate it by a program. For example, E 1α2 is represented by Equation [4]: E 1α2 = d α x L 1α2It may also be calculated by this method.

[0097] The ecological connection value may be calculated by considering the degree of influence of each ecological organism 1α on the ecological network 3, its importance in the ecological network 3, i.e., its degree of influence. For example, a coefficient δ determined according to the degree of influence of each ecological organism 1α. α Using E 1α2 Equation [5]:E 1α2 = δ α xd α x L 1α2 It may also be calculated by preparing a biological characteristics database containing biological characteristic data, storing the above-mentioned influence level in that database, and referring to the above-mentioned biological characteristics database when calculating the ecological connection value. Alternatively, a program may cause the computer 4 to refer to the influence level stored in the storage means 42 and calculate the ecological connection value. The above-mentioned biological characteristics database may also include the movable distance of each organism. That is, the above-mentioned biological characteristics database may also include the above-mentioned movable distance database.

[0098] <Ecological network, ecological network value> The ecological network 3 is a set of ecological connections 31. Therefore, the ecological network value is calculated based on the ecological connection value. The ecological network value may also be calculated by having the computer 4 calculate it using a program.

[0099] <Ecological network between green belts, ecological network value between green belts> Similar to the calculation of the ecological connection value for the ecological constituent organism 1α described above, the ecological connection value is calculated for all ecological constituent organisms 1 in the first green belt, and based on this, the inter-green belt ecological network value (hereinafter referred to as E) from the first green belt to the second green belt is calculated. 12 (Sometimes expressed as) calculates the sum of the ecological connection values ​​of all organisms that make up the first green belt. 12 This is also acceptable (Equation [6]). E12 and the ecological network value E between the green belts from the second green belt to the first green belt 21 may be used to calculate the ecological network value between the first green belt and the second green belt. For example, Equation [7]: (E 12 + E 21 ) / 2, and the calculated value may be used as the ecological network value between the first green belt and the second green belt. Instead of calculating the ecological network value from the first green belt to the second green belt and calculating the ecological network value from the second green belt to the first green belt and averaging them, for the ecological constituent organism 1 of the first green belt and the second green belt, the average value of the ecological network value in the movement from the first green belt to the second green belt and the ecological network value in the movement from the second green belt to the first green belt may be calculated, and the sum of the above average values of each ecological constituent organism 1 may be calculated. The computer 4 may be caused to calculate the ecological network value by a program.

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[0100] <S7’: Determination of the ecological network level between green belts> In step S7’, the ecological network level between green belts is determined based on the ecological network value between green belts. The computer 4 may be caused to execute this step by a program.

[0101] The ecological network level is an index of the level of the ecological network 3 determined based on the above ecological network value. The ecological network level between green belts is determined based on the ecological network value between green belts. The ecological network value itself between green belts may be used as the ecological network level between green belts. Based on a predefined relational expression between the ecological network value between green belts and the ecological network level between green belts, the ecological network level between green belts, for example, a high level, a medium level, a low level, may be determined.

[0102] <S8: Calculation of Regional Ecological Network Value> In step S8, the regional ecological network value is calculated. The computer 4 may be caused to execute this step by a program.

[0103] The regional ecological network value between the target green belts in the target area including a plurality of target green belts is calculated based on the ecological network value between the green belts calculated in step S7. The target green belts may be between all the green belts included in the target area, or may be between the target green belts narrowed down in a step before this step. In the description of step S7 above, for the sake of convenience, the ecological network value between two green belts, the first green belt and the second green belt, was calculated. However, for the target green belts, the ecological network value between the green belts is calculated in the same manner. Note that if the target green belts have been narrowed down, for example, in step S3 or step S4, before this step, follow it. The calculation load is reduced.

[0104] The first green belt regional ecological network value, which is the value of the ecological network 3 for one green belt (the first green belt) to be focused on, may be calculated. The first green belt regional ecological network value may be calculated based on the sum of the ecological network values between the green belts from the first green belt to other green belts (the j-th green belt), for example, based on Equation [8], for the other green belts forming between the first green belt and the target green belts. The value of Equation [8] may be used as the first green belt regional ecological network value. The first green belt regional ecological network value may be calculated based on the sum of the ecological network values between the first green belt and other green belts, for example, based on Equation [9]. The value of Equation [9] may be used as the first green belt regional ecological network value. The computer 4 may be caused to calculate the first green belt regional ecological network value by a program.

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[0105] For all target green areas, the ecological network value between all green areas (between the i-th green area and the j-th green area) may be calculated, and the regional ecological network value between all green areas may be calculated. The above regional ecological network value between all green areas may be calculated based on the sum of the ecological network values between green areas, for example, based on Equation

[10] . The value of Equation

[10] may be used as the above regional ecological network value between all green areas. The computer 4 may be caused to calculate the regional ecological network value between all green areas by a program.

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[0106] <S8’: Determination of the regional ecological network level> In step S8’, the regional ecological network level of the first green area is determined based on the regional ecological network value of the first green area. Or the regional ecological network level between all green areas is determined based on the regional ecological network value between all green areas. The computer 4 may be caused to execute this step by a program.

[0107] The ecological network level is an index of the level of Ecological Network 3 determined based on the above ecological network value. The ecological network level of the first green belt (or between all green belts) area is determined based on the ecological network value of the first green belt (or between all green belts) area. The ecological network value of the first green belt (or between all green belts) area itself may be used as the ecological network level of the first green belt (or between all green belts) area. Based on a predefined relational expression between the ecological network value of the first green belt (or between all green belts) area and the class of the ecological network level of the first green belt (or between all green belts) area, the ecological network level of the first green belt (or between all green belts) area may be determined, for example, as a high level, a medium level, or a low level.

[0108] <S9: Calculation of Contribution Degree> In step S9, based on the ecological network value between green belts calculated in step S7 and the ecological network value of the area calculated in step S8, the contribution degree in the ecological network 3 of the green belt area is calculated. The computer 4 may be made to execute this step by a program.

[0109] Based on the above ecological network value of the first green belt area and the ecological network value between all green belts, the first contribution degree to the ecological network 3 of the first green belt may be calculated. As a method for calculating the first contribution degree, for example, the first contribution degree may be calculated based on the ratio or difference between the ecological network value of the first green belt area and the ecological network value between all green belts, or the value of their ratio or difference may be used as the first contribution degree, but it is not limited to these. For example, the value calculated by formula

[11] or formula

[12] , or the value calculated by formula

[13] or formula

[14] may be used as the first contribution degree of the first green belt. The computer 4 may be made to calculate the first contribution degree to the ecological network 3 of the first green belt based on the above ecological network value of the first green belt area and the ecological network value between all green belts by a program.

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[0110] When there is a first green belt area, the ecological network value between all green belt areas is calculated, and when it is assumed that there is no first green belt area, that is, when there is no ecological network 3 between the first green belt area and other green belt areas, the second contribution degree of the first green belt area to the regional ecological network 3 may be calculated based on the ecological network value between all green belt areas. As a method for calculating the second contribution degree, for example, the second contribution degree may be calculated based on the difference or ratio between the ecological network value between all green belt areas when the first green belt area exists and the ecological network value between all green belt areas when it does not exist, or the value of these differences or ratios may be used as the second contribution degree, but it is not limited thereto. For example, the value calculated by formula

[15] or formula

[16] may be used as the second contribution degree of the first green belt area. Based on the ecological network value between all green belt areas when the first green belt area exists and the ecological network value between all green belt areas when it does not exist, the computer 4 may be caused to calculate the second contribution degree of the first green belt area to the regional ecological network 3 by a program.

Number

Number

[0111] <S10: Narrowing down the target green belt areas based on the degree of duplication, etc.> In step S10, the degree of overlap or similarity between target green belts is calculated, and based on these, the target green belts are narrowed down in the steps following S10. This step may be executed by the computer 4 via a program. In Figure 3, step S10 is located before step S3, but it may also be located after step S3, or after step S4, or after step S5.

[0112] The degree of overlap between the ecological organisms 1 in the first green belt and the ecological organisms 1 in the second green belt is calculated. The degree of overlap may be calculated based on the number of ecological organisms 1 included in the "intersection" of the set of ecological organisms 1 in the first green belt and the set of ecological organisms 1 in the second green belt. For example, if the number of ecological organisms 1 included in the intersection is N, the degree of overlap may be N, and if there are 0, the degree of overlap may be 0. Alternatively, the degree of overlap may be calculated based on the number of ecological organisms 1 included in the intersection and the number of ecological organisms 1 included in the "union" of the set of ecological organisms 1 in the first green belt and the set of ecological organisms 1 in the second green belt. For example, if the number of ecological organisms 1 included in the intersection is N and the number of ecological organisms 1 included in the union is M, the degree of overlap may be N / M.

[0113] If the degree of overlap is below a predetermined value, the overlap threshold, then in the next step, the examination between the first green belt and the second green belt may be omitted. This is because a low degree of overlap makes it highly likely that organisms that have moved between the green belts will have difficulty establishing themselves in their new location. This reduces the computational load in the next step. The program may cause the computer 4 to calculate the degree of overlap and refer to predetermined overlap threshold data stored in the storage means 42 to determine whether or not to examine the area between the green belts in the next step.

[0114] The similarity between the local biodiversity network 2 of the first green belt and the local biodiversity network 2 of the second green belt (hereinafter referred to as S 12(which may be expressed as) is calculated. As a method for calculating the similarity between green spaces, a statistical analysis of the similarity pattern may be performed using a similarity index or a dissimilarity index. For example, an index of dissimilarity such as the Bray-Curtis index, the Jaccard index, or the Chao index may be obtained, and the similarity may be calculated based on the value. For example, when the dissimilarity can take a value from 0 to 1, a method of using the value obtained by subtracting the dissimilarity from 1 as the similarity is exemplified, but it is not limited thereto.

[0115] If the similarity between green spaces is less than or equal to a predetermined value, the similarity threshold between green spaces, then in the subsequent steps, it may be determined that no consideration is given between the first green space and the second green space. This is because if the similarity between green spaces is low, it is highly likely that it is difficult for organisms that have moved between green spaces to establish themselves at the destination. As a result, the load of the calculation in the subsequent steps can be reduced. The computer 4 may be caused by a program to calculate the similarity between green spaces, and to refer to the predetermined similarity threshold data between green spaces stored in the storage means 42, and to determine whether consideration between green spaces is necessary in the subsequent steps.

[0116] <S11: Display> In step S11, the regional ecological network 3 and the like are displayed by the display means 44. The computer 4 may be caused by a program to perform this step.

[0117] Display information such as the local organism connection 21 identified before this step, the local organism network 2 which is an aggregate thereof, the ecological connection 31, the ecological network 3 which is an aggregate thereof, and the ecological network value may be displayed by the display means 44. The display information may be display information processed so as to be displayable by the display means 44. The above display information may be displayed in an easy-to-understand manner with visual devices, or may be displayed in an easy-to-understand manner by focusing on specific information. The display information may be displayed hierarchically and selectively. This may make it easier for the viewer of the display to identify the information they want to know. The computer 4 may be caused by a program to display the above display information by the cover means.

[0118] The morphology (e.g., color and shape) of the constituent points of the local interspecies network 2 may be changed according to the type of ecological constituent organism 1 that the constituent point represents. For example, by changing the color for insects and plants, the relationship between insects and plants is clearly indicated, and the relationship can be inferred, for example, that the plant is pollinated by that insect. The constituent points may also represent the appearance (figure, photograph) of the ecological constituent organism 1.

[0119] Information about the ecological organism 1 may be displayed by selecting a component point of the local inter-organism network 2 using the selection means 45. This information may include, but is not limited to, the name and appearance of the ecological organism 1, its habitat, time of year, its relationship with humans and other organisms, its potential effects on nature, other organisms and humankind, and its usefulness or harmfulness.

[0120] The form representing the local interspecies connection 21, such as a line, may be changed depending on the type of interaction between the organisms that make up the ecosystem. For example, the shape of the line (straight line, curved line, dashed line, double line, line thickness, presence or absence of arrows, shape of arrows) may be changed for each type of interaction, such as pollination / seed dispersal, predation / prey, or provision of habitat / habitat, and the color (type of color and shade of color) may also be changed.

[0121] Since local interspecies networks 2 and ecological networks 3 have different meanings, the forms used to represent local interspecies connections 21 and local interspecies networks 2 may be changed from those used to represent ecological connections 31 and ecological networks 3. For example, the shape of the lines (straight, curved, dashed, double, line thickness, presence or absence of arrows, arrow shape) may be changed, as may the color and shade of the color.

[0122] The form representing ecological network 3 may be changed according to the ecological network value or ecological network level. The ecological network value or ecological network level may be displayed, or the form representing ecological network 3, such as the shape of the line (straight line, curved line, dashed line, double line, line thickness, presence or absence of arrows, shape of arrows) and color (type of color and shade of color), may be changed depending on the magnitude of the ecological network value or the level of the ecological network. Ecological network 3 may also be represented by representing the ecological connections 31 that constitute ecological network 3, and in that case, the form showing the above ecological connections 31, such as the shape of the line (straight line, curved line, dashed line, double line, line thickness, presence or absence of arrows, shape of arrows) and color (type of color and shade of color), may be changed according to the ecological connection value.

[0123] The above-mentioned ecological network 3 may be overlaid on the map, the above-mentioned local biota network 2 may be represented, or the above-mentioned ecological network 3 and the above-mentioned local biota network 2 may be represented. Each target green space may also be shown on the map. For example, on the map, the target green space may be enclosed by a circle or ellipse, a mark indicating that it is a target green space may be placed, or the outer edge of the target green space may be represented by, for example, outlining it with a line. Map information can be added to the information of ecological network 3, local biota network 2, and target green spaces.

[0124] The map can be either 2D or 3D. The 3D map can be a 3D model map, a bird's-eye view map projected onto a 2D display that allows for depth perception, or a pseudo-3D map that allows for changing viewpoints from various angles and obtaining information similar to a 3D map by allowing for depth perception. The map may also display overlaid data such as water veins, topography, sunlight intensity, temperature and humidity, land use history data (changes in land use patterns such as forests, residential areas, rural areas, factories, commercial areas, etc.), animal habitat data (species distribution data, observation point data), insect habitat data (species distribution data, observation point data), and plant vegetation data.

[0125] The display may be displayed in a way that allows the display range to be expanded or contracted by the selection means 45 or other means. This makes it easier for the operator of the selection means 45 or other means to obtain the desired information. The display may also be displayed in a way that allows the display content to be selected by the selection means 45. For example, if the display includes a local inter-organism network 2, the operator of the selection means 45 or other means can select an ecological constituent organism 1 to display information about the selected ecological constituent organism 1, or select a local inter-organism connection 21 to display information about the selected connection, thereby making it easier for the operator to obtain the desired information.

[0126] Figure 5 shows schematic diagrams of local interspecies networks 2 and ecological networks 3. In Figure 5, the first to third green zones are shown as areas enclosed by dashed lines, and the local interspecies network 2 of each green zone is shown by the ecological constituent organisms 1 represented as black circles and the local interspecies connections 21 between ecological constituent organisms represented by solid lines. The ecological connections 31 are shown as dashed lines connecting the black circles representing ecological constituent organisms 1 in different green zones. Ecological networks 3 are shown as a collection of these ecological connections 31.

[0127] Embodiments of this disclosure include methods, programs, recording media, or apparatus. A program causes a computer 4 to perform a predetermined operation. A program may be stored on a recording media. Examples of recording media include, but are not limited to, USB drives, HDDs, CD-ROMs, DVDs, etc. An apparatus may be a computer 4. Examples of computer 4 include, but are not limited to, mainframes, supercomputers, workstations, personal computers, servers, PDAs, tablets, smartphones, etc. A computer 4 may exist independently as a central processing unit, be incorporated into other devices, or multiple computers 4 may constitute a system.

[0128] Figure 6 shows a schematic diagram of the configuration of a computer 4, which is an example of an aspect of this disclosure. This computer 4 consists of an input means 41 for inputting various data, a storage means 42 for storing programs, various data input from the input means 41, and data generated by calculations, a calculation means 43 for performing calculations, a display means 44 for displaying calculation results and data stored in the storage means 42, and a selection means 45 for the operator of the computer 4 to select the display content. Note that Figure 6 shows a simplified configuration of the computer 4 in order to focus on the content of this disclosure. Means that a computer 4 generally has may be provided even if they are not shown in Figure 6. Means that a computer 4 generally has include, but are not limited to, information exchange means for exchanging information between components of the computer 4 related to each means using wired electrical signals, wireless electrical signals, or optical signals, output means for outputting calculation results, etc., information transmission means for exchanging information between computers, information reception means, etc. Each of the components shown in Figure 6 may be distributed across multiple computers 4, for example, with at least a portion of the arithmetic means 43 and storage means 42 being provided in a server computer, and the display means 44 and selection means 45 being provided in a terminal computer 4.

[0129] The input means 41 may be equipped with an input section for recording media such as USB, HDD, CD-ROM, or DVD, and data may be input via such recording media. It may also be equipped with a receiving function for wireless or wired communication and receive data. It may also be equipped with a receiving function for internet communication and receive data.

[0130] The storage means 42 is a means for storing various types of data, and may be a memory or hard disk. It may store data generated by calculations, various programs corresponding to all operations of the computer 4, various databases such as an interspecies connection database, a movable distance database, and a biological characteristics database, various threshold data such as a green zone determination threshold, a local interspecies network threshold, a biological mobility threshold, an individual similarity threshold, a duplication threshold, and an interspecies similarity threshold, map data of the target area, various open-source data, data of the target green zone, interspecies distance data, interspecies characteristics data, data of the identified ecological constituent organisms 1, data used to identify the ecological constituent organisms 1 (such as DNA analysis data for extracting ecological constituent organisms 1 and fieldwork observation records), identified local interspecies connection data, and identified local interspecies network data. These data may also be data input from the input means 41. The storage means 42 does not necessarily have to be located within the target computer 4, and may be located on an external server or computer 4. The expression "storage means 42 of the computer 4" may include the case where it is located on an external server or the like.

[0131] The arithmetic means 43 is a means 43 that drives, controls, and performs calculations for the computer 4. For example, it may be a CPU, a GPU, or, from another perspective, an integrated circuit (IC, LSI, etc.).

[0132] The display means 44 is a means for displaying the content, and may be a flat display screen, a projection mechanism for the content, a glasses-type or goggle-type display, or a head-mounted display.

[0133] The selection means 45 is a means for selecting an option when the display content is displayed on the display means 44 in a selectable manner. The selection means 45 may be a voice input device. It may also be a device that senses the movement of the operator's body. It may be a dedicated device, a general-purpose touch panel device, a keyboard, a mouse, or a device that senses the movement of the eyes, fingers, or arms.

[0134] <Example of Calculating the Ecological Network Value between Green Zones> The ecological network 3 of Nagoya City was investigated.

[0135] <Preparations> As the computer 4, a workstation (WS4000TRX50A manufactured by Lepton) equipped with a display (ProLite X3291HS manufactured by iiyama) as the display means 44 and a mouse as the selection means 45 was prepared. A map of Nagoya City in which green areas are shown in green was obtained from OpenStreetMap. A biological characteristic database was created by summarizing the characteristic data of 5,000 species of organisms by referring to a large number of ecological literature, such as "Atlas of Japanese Honeybees" written by Kimikata Kinoeda, Asakusa Kanzawa, and Makoto Ito, published by Hokkaido University. The above characteristic data includes attribute data of organisms such as insects, birds, and plants, and the movable distance. That is, the biological characteristic database contains a movable distance database. Also, by referring to a large number of ecological literature, such as "The Natural History of Flowers [The Evolution of Beauty]" edited by Masashi Ohara, published by the Hokkaido University Library Publishing Society, etc., biological connection data summarizing 5,000 species of biological connections as data was prepared. Various threshold data such as green zone determination threshold, local biological network threshold, biological mobility threshold, individual similarity threshold, duplication threshold, and similarity threshold between green zones were prepared. The above databases and various threshold data were stored in the storage means 42 via the input means 41 of the computer 4.

[0136] <S1: Identification of Target Green Zones> The target area was the vicinity of Naka-ku, Higashi-ku, and Chikusa-ku in Nagoya City. In the prepared map of Nagoya City, green color was extracted to identify green areas. Referring to the above green area determination threshold, green areas including Higashiyama Zoo (the first green area), Makinoike Rikuen Park (the second green area), and Inotaka Green Space (the third green area) were extracted as the target green areas. Figure 7A shows the map of the target area, and Figure 7B shows the extracted target green areas, enclosed by solid lines. In Figure 7B, the left part enclosed by the solid line is the first green area, the middle part enclosed by the solid line is the second green area, and the right part enclosed by the solid line is the third green area.

[0137] <S2: Identification of Ecological Constituent Organisms, S5 Identification of Local Organism Networks> Regarding the above first to third green areas, ecological constituent organisms 1 inhabiting each green area were identified through fieldwork and environmental DNA analysis, and the list of the identified ecological constituent organisms 1 was input into the computer 4 as data. In this example, ecological constituent organisms 1 that are insects or plants were to be examined. The computer 4 was made to refer to the list of the above ecological constituent organisms 1 and the above biological characteristic database to extract ecological constituent organisms 1 that are insects or plants, and further refer to the above inter-organism connection database to identify the local organism network 2 of each green area. Figure 8A shows the display of the local organism network 2 of the target green area, and Figure 8B shows the enlarged view of the vicinity of the second green area in Figure 8A, excluding the map. Here, ecological constituent organisms 1 belonging to plants are represented by white circles, and ecological constituent organisms 1 belonging to insects are represented by black circles. The local organism connection 21 is represented by a solid line. Although it is not easy to see in black and white Figures 8A and 8B, the color varies depending on the type of the local organism connection 21. For example, the local organism connection 21 in a pollen-mediated relationship is represented by an orange solid line, and the local organism connection 21 in a predator-prey relationship is represented by a pink solid line.

[0138] <S3: Identification of Distance between Green Areas> The computer 4 calculates the closest distance between the green belts by calculating the distance between the position data of the points on the outer edge of the first green belt and the position data of the points on the outer edge of the second green belt, and uses this as the distance between the green belts.

[0139] <S4: Calculation of biological mobility> The above distance between the green belts is used as the characteristic between the green belts. The computer 4 refers to the above movable distance database to specify the movable distance for the ecological constituent organisms 1 of each green belt, and uses this movable distance as the movement characteristic. For the ecological constituent organisms 1 of each green belt, the computer 4 compares the above characteristic between the green belts and the above movement characteristic. When the value of the above movement characteristic is greater than or equal to the value of the above characteristic between the green belts, the biological mobility is set to 1, and when the value of the above movement characteristic is less than the value of the above characteristic between the green belts, the biological mobility is set to 0.

[0140] <S6: Calculation of local biological network value> In step S4, for the ecological constituent organisms 1 with a biological mobility of 1, the computer 4 calculates the local biological network value at the destination (e.g., the second green belt) of the ecological constituent organisms 1 at the source of movement (e.g., the first green belt). For the ecological constituent organisms 1α of the first green belt that move from the first green belt to the second green belt and form a local biological connection 21 with the ecological constituent organisms 1β of the second green belt, the computer 4 calculates the importance of the local biological connection 21 between the ecological constituent organisms 1α and the ecological constituent organisms 1β as the betweenness centrality in the local biological network 2 of the second green belt of the ecological constituent organisms 1β. The local biological network value of the ecological constituent organisms 1α is calculated as the sum of the importance of each ecological constituent organism 1 of the second green belt that forms a local biological connection 21 with the ecological constituent organisms 1α.

[0141] <S7: Calculation of ecological network value between green belts> In this step, the movement of organism 1 from the first green belt to the second green belt is calculated by adding the biomobility value calculated in step S4 and the local inter-organism network value calculated in step S6 to determine the inter-green belt ecological connection value for each organism 1 from the first green belt to the second green belt. The sum of the ecological connection values ​​calculated for each of the above organisms is then used to determine the inter-green belt ecological network value (E) from the first green belt to the second green belt. 12 Specifically, for each ecological component organism 1 whose biomobility was set to 0 in step S4, the ecological connection value was set to 0, and for each ecological component organism 1 whose biomobility was set to 1 in step S4, the local inter-organism network value was used as the ecological connection value. The computer 4 was then instructed to sum up the above ecological connection values ​​for all ecological component organisms 1 in the first green belt, thereby calculating the inter-green belt ecological network value (E) from the first green belt to the second green belt. 12 Similarly, the ecological network value (E) between the second green belt and the first green belt was calculated for the movement of organism 1, an ecological component of the second green belt, to the first green belt. 21 ) was calculated. And E 12 and E 21 The average value was calculated and this was used as the inter-green belt ecological network value between the first and second green belts. Similarly, the inter-green belt ecological network values ​​were calculated between the first and third green belts, and between the second and third green belts. 12 is 259259, E 21 is 94499, E 13 is 419255, E 31 is 158374, E 23 is 1516456, E 32It was 973433 (the number with the first decimal place rounded off was described). The ecological network value between the first green belt and the second green belt was 176879, the ecological network value between the first green belt and the third green belt was 288814, and the ecological network value between the second green belt and the third green belt was 1244944 (the number with the first decimal place rounded off was described).

[0142] In Fig. 9A, the local biotic network 2 within each green belt is shown by local biotic connections 21 represented by solid lines and ecological constituent organisms 1 represented by white or black circles, and the ecological network 3 between the green belts is shown as a set of ecological connections 31 represented by dotted lines. Fig. 9B shows an enlarged view of the vicinity of the second green belt in Fig. 9A, excluding the map.

[0143] Fig. 10 is a display in which the ecological network value between the green belts is shown together with the corresponding ecological network 3 between the green belts. Fig. 11 is a display in which the ecological network between the green belts is shown as an arrow with a thickness corresponding to the ecological network value. Fig. 12 is a display when one constituent point (the black circle indicating the ecological constituent organism 1) of the local biotic network 2 is selected by the selection means 45 provided in the computer 4. Information on the ecological constituent organism 1, such as that the selected ecological constituent organism 1 is a green-striped flower bee, is shown.

[0144] <Example of calculation of regional ecological network value and contribution degree of the first green belt>

[0145] <S8: Calculation of regional ecological network value> The computer 4 was made to calculate the ecological network value of each green belt area for each green belt using the ecological network values between the green belts calculated in step S7 according to Equation 9, and to calculate the ecological network value of the area between all green belts according to Equation 10. The ecological network value of the first green belt area was 465,694, the ecological network value of the second green belt area was 1,421,823, the ecological network value of the third green belt area was 1,533,759, and the ecological network value of the area between all green belts was 3,421,274 (the numbers rounded to the first decimal place were shown).

[0146] <S9: Calculation of Contribution Degree> The computer 4 was made to calculate the first contribution degree of each target green belt according to Equation 12 using the ecological network value of the first green belt area and the ecological network value between all green belts calculated in step S8. The first contribution degree of the first green belt was 0.136, the first contribution degree of the second green belt was 0.416, and the first contribution degree of the third green belt was 0.448 (the numbers rounded to the fourth decimal place were shown).

[0147] The computer 4 was made to calculate the second contribution degree according to Equation 15 using the ecological network values between the green belts calculated in step S7, the ecological network value between all green belts when each target green belt exists, and the ecological network value between all green belts when it does not exist. The second contribution degree of the first green belt was 0.728, the first contribution degree of the second green belt was 0.169, and the first contribution degree of the third green belt was 0.103 (the numbers rounded to the fourth decimal place were shown). In addition to the content shown in FIG. 11, FIG. 13 shows the first and second contribution degrees of each target green belt in a display near each target green belt.

[0148] Note that FIGS. 7 to FIGS. 13 are images shown on the display means 44 when the computer 4 is selected by the selection means 45.

Explanation of Reference Numerals

[0149] 1 Ecological Constituent Organisms 2. Local interspecies networks 21 Local interspecies connections 3. Ecological Network 31 Ecological Connection 4 Computers 41 Input means 42 Memory means 43 Calculation means 44 Display means 45 Selection method

Claims

1. A step of calculating the biomobility of the organisms constituting the ecosystem using the inter-green belt characteristics between the first green belt and the second green belt, and the movement characteristics of the organisms constituting the ecosystem of the first green belt. The steps include identifying the local inter-organism network of the organisms that make up the aforementioned ecosystem in the second green space, The steps include: calculating the local interspecies network value using at least a portion of the second green belt local interspecies network; The steps include: calculating the ecological connection value of the constituent organisms of the ecosystem using the biomobility and the local inter-organism network value; The steps include: calculating the inter-green belt ecological network value based on the aforementioned ecological connection value; A method for calculating the ecological network value between green belts, including [specific element].

2. In the step of calculating the local interspecies network value, A method for calculating an inter-green belt ecological network value according to claim 1, wherein, for one or more local inter-biologic connections originating from the ecological constituent organisms in the second green belt local inter-biologic network, the sum of the importance of each local inter-biologic connection is used to calculate the local inter-biologic network value.

3. In the step of calculating the local interspecies network value, The local inter-organism network value is calculated using the individual similarity between the first green zone local inter-organism network or a part of the first green zone local inter-organism network, which includes the organisms that make up the ecosystem, and the second green zone local inter-organism network or a part of the second green zone local inter-organism network. A method for calculating the ecological network value between green belts according to claim 1.

4. Between the target green belts in a target area that includes multiple target green belts, including the first green belt: A step of calculating the inter-green belt ecological network value between the first green belt and other target green belts for the target green belts, based on the method for calculating the inter-green belt ecological network value according to any one of claims 1 to 3, A method for calculating regional ecological network values, comprising the step of calculating a first green belt regional ecological network value based on the aforementioned inter-green belt ecological network value.

5. Between the target green belts in a target area that includes multiple target green belts, including the first green belt: A step of calculating the inter-green belt ecological network value for all of the target green belts based on the method for calculating the inter-green belt ecological network value described in any one of claims 1 to 3, A method for calculating regional ecological network values, comprising the step of calculating the overall regional ecological network value between green belts based on the aforementioned inter-green belt ecological network value.

6. A method for calculating the first contribution of the first green belt based on the first green belt regional ecological network value calculated by the method for calculating the regional ecological network value described in claim 4, and the regional ecological network value between all green belts calculated by the method for calculating the regional ecological network value described in claim 5.

7. The method for calculating the regional ecological network value described in claim 5 is used to calculate the regional ecological network value between all green belts and the regional ecological network value between all green belts when the first green belt is excluded. A method for calculating the second contribution of the first green belt based on the aforementioned inter-green belt region ecological network value and the inter-green belt region ecological network value when the first green belt is excluded.

8. On the computer, A step of calculating the biomobility of organisms constituting the ecosystem using the inter-green belt characteristics between the first green belt and the second green belt and the movement characteristics of organisms constituting the ecosystem of the first green belt, The steps include identifying the local inter-organism network of the organisms that make up the aforementioned ecosystem in the second green space, The steps include: calculating the local interspecies network value using at least a portion of the second green belt local interspecies network; The steps include: calculating the ecological connection value of the constituent organisms of the ecosystem using the biomobility and the local inter-organism network value; The steps include: calculating the inter-green belt ecological network value based on the aforementioned ecological connection value; A program for calculating ecological network values ​​between green belts, which enables the execution of the following.

9. In the step of calculating the local interspecies network value, In the local interspecies network of the second green belt, for one or more local interspecies connections originating from the constituent organisms of the ecosystem, the sum of the importance values ​​of each local interspecies connection is used to calculate the local interspecies network value. A program for calculating the ecological network value between green belts according to claim 8.

10. In the step of calculating the local interspecies network value, The local inter-organism network value is calculated using the individual similarity between the first green zone local inter-organism network or a part of the first green zone local inter-organism network, which includes the organisms that make up the ecosystem, and the second green zone local inter-organism network or a part of the second green zone local inter-organism network. A program for calculating the ecological network value between green belts according to claim 8.

11. Between the target green belts in a target area that includes multiple target green belts, including the first green belt: A regional ecological network value calculation program that causes a computer to perform the step of calculating a first green belt regional ecological network value based on the inter-green belt ecological network value between the first green belt and other target green belts, calculated by executing the inter-green belt ecological network value calculation program according to any one of claims 8 to 10.

12. Between the target green belts in a target area that includes multiple target green belts, including the first green belt: A program for calculating regional ecological network values ​​that causes a computer to perform the step of calculating a total regional ecological network value between green belts based on the inter-green belt ecological network values ​​between all target green belts, calculated by executing the program for calculating inter-green belt ecological network values ​​according to any one of claims 8 to 10.

13. A program that causes a computer to perform the step of calculating the first contribution of the first green belt based on the first green belt regional ecological network value calculated by executing the regional ecological network value calculation program described in claim 11 and the inter-green belt regional ecological network value calculated by executing the regional ecological network value calculation program described in claim 12.

14. The value calculated by executing the program for calculating regional ecological network values ​​described in claim 12, A program that performs the step of calculating the second contribution of the first green belt based on the aforementioned inter-green belt region ecological network value and the inter-green belt region ecological network value when the first green belt is removed.

15. On the computer, Perform the step of displaying the ecological network. program.

16. On the computer, A program that performs the step of displaying at least one value selected from a group consisting of an ecological network value, a first contribution, and a second contribution.

17. On the computer, The next step involves displaying the local biodiversity network of at least one target green space. The program according to claim 15.

18. A computer-readable recording medium having a program according to any one of claims 8, 9, 10, 15, or 16 recorded on it.

19. By running the program, A step of calculating the biomobility of organisms constituting the ecosystem using the inter-green belt characteristics between the first green belt and the second green belt and the movement characteristics of organisms constituting the ecosystem of the first green belt, The steps include identifying the local inter-organism network of the organisms that make up the aforementioned ecosystem in the second green space, The steps include: calculating the local interspecies network value using at least a portion of the second green belt local interspecies network; The steps include: calculating the ecological connection value of the constituent organisms of the ecosystem using the biomobility and the local inter-organism network value; A device that performs the steps of calculating an ecological network value between green belts based on the aforementioned ecological connection value.

Images