NCP reference system, central processing unit, terminal, program, storage medium, and similar area NCP data extraction method

Abstract

To provide an NCP reference system for determining an NCP to be noted, a central processing unit, a terminal, a program, a storage medium, and a similar place NCP data extraction method.SOLUTION: The program causes the central processing unit to execute a step (S1) of receiving the target microbial flora association data from the terminal, a step (S2) of extracting the target microbial flora data from the target microbial flora association data, a step (S3) of calculating a similarity between the target microbial flora data and the reference microbial flora data, a step (S4) of extracting the reference microbial flora data having a high similarity by comparing the similarity with a similarity threshold, and a step (S5) of extracting the reference area microbial data included in the reference area data to which the reference microbial flora data having the high similarity belongs, as the similar area microbial data.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present disclosure relates to a system for NCP reference, a central processing unit, a terminal, a program, a storage medium, and an NCP data extraction method. [Background technology]

[0002] In recent years, there has been a growing sense of crisis in the recognition that human social and economic activities are heavily dependent on nature's contributions to people (NCPs), or what nature provides, its blessings, and ecosystem services. This is due to the fact that global warming, environmental destruction, and other factors are causing a worldwide decline in NCPs, and if things continue as they are, society will soon become unsustainable. Politics, economics, specifically urban planning, forestry planning, residential land development, agriculture, forestry, fisheries, and all manner of industrial activity, as well as people's social lives, require actions that are mindful of preserving and, ideally, promoting NCPs. While there are many different types of NCPs, the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES) categorizes them and lists their names (Non-Patent Document 1). As mentioned above, NCP encompasses a variety of things. Computers including computational means that store data sets in memory, organizing various items and data, and allow operators to easily select desired data through selection input means based on the content displayed on display means are widely used for a variety of purposes. In recent years, with the advancement of Internet services, systems have become widespread in which the above-mentioned computers are divided into terminals including selection input means and display means, and central processing units including storage means and computational means, with the terminals and central processing units connected via Internet communications. Greening is related to NCP in terms of the benefits it brings, and a greening search system for this has been proposed (Patent Document 1). Plants are also related to NCP in terms of the benefits they bring, and a plant name search system for this has been proposed (Patent Document 2). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Laid-Open No. 2003-132139 [Patent Document 2] Japanese Patent Application Laid-Open No. 2001-229187 [Non-patent literature]

[0004] [Non-Patent Document 1] IPBES (2019): Global assessment report on biodiversity and ecosystem services of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services. ES Brondizio, J. Settele, S. Diaz, and HT Ngo (editors). IPBES secretariat, Bonn, Germany. 1148 pages. https: / / doi.org / 10.5281 / zenodo.3831673 Summary of the Invention

[0005] According to one embodiment of the present disclosure, the NCP reference system is an NCP reference system comprising a terminal equipped with an input means, a display means, a terminal calculation means, and a terminal storage means, and a central processing unit equipped with a calculation means and a storage means, and stores a reference location data set, which is made up of reference location data including reference location characteristic data, reference location microbiota data, and reference location NCP data, a similarity threshold, and a display rule in at least one of the storage means and the terminal storage means, and executes a program to receive input of target location microbiota linking data by the input means, and derive target location microbiota data from the target location microbiota linking data. a step of extracting data from the target location microbiome data; a step of calculating the similarity between the target location microbiome data and the reference location microbiome data; a step of comparing the similarity with the similarity threshold to extract the reference location microbiome data with high similarity; a step of extracting the reference location NCP data included in the reference location data to which the reference location microbiome data with high similarity belongs as similar location NCP data; a step of determining first display content from the similar location NCP data by referring to the display rules; and a step of displaying the first display content by the display means. [Brief explanation of the drawings]

[0006] [Figure 1]FIG. 1 is a schematic diagram of a process flow including one embodiment of the present disclosure. [Figure 2] FIG. 2 is a schematic diagram of a process flow including another embodiment of the present disclosure different from that of FIG. [Figure 3] FIG. 3 is a schematic diagram of a process flow including an embodiment of the present disclosure different from that of FIGS. [Figure 4] FIG. 4 is a schematic diagram of a process flow including an embodiment of the present disclosure different from those shown in FIGS. [Figure 5] FIG. 5 is a schematic diagram of a first display content including an embodiment of the present disclosure. [Figure 6] FIG. 6 is a schematic diagram of a first display content and a second display content according to another embodiment of the present disclosure different from that shown in FIG. [Figure 7] FIG. 7 is a schematic diagram of a first display content and a second display content according to another embodiment of the present disclosure different from those shown in FIGS. [Figure 8] FIG. 8 is a schematic diagram of a first display content including an embodiment of the present disclosure different from those of FIGS. [Figure 9] FIG. 9 is a schematic diagram of a first display content including an embodiment of the present disclosure different from those of FIGS. [Figure 10] FIG. 10 is a schematic diagram of the configuration of an NCP reference system including an embodiment of the present disclosure. [Figure 11] FIG. 11 is a schematic diagram of the configuration of an NCP reference system including an embodiment of the present disclosure different from that of FIG. DETAILED DESCRIPTION OF THE INVENTION

[0007] [Problem to be solved by this disclosure] When considering the conservation and promotion of NCPs in the target area, the issue was how to determine which NCPs to pay attention to, since NCPs include a variety of items.

[0008] [Effects of this disclosure] The present disclosure discloses a method for determining NCPs that require attention by extracting similar locations from the perspective of the degree of similarity between the microbiome data of a target location and the microbiome data of a reference location, and by referencing the NCP items linked to those similar locations, as well as a system, central processing unit, computer, program, and storage medium storing the program that supports the determination of NCPs that require attention, thereby making it possible to easily determine NCPs that require attention based on a basis.

[0009] [Description of the embodiments of the present disclosure] First, embodiments of the present disclosure will be listed and described.

[0010] (1) One aspect of the present disclosure is an NCP reference system comprising a terminal equipped with an input means, a display means, a terminal calculation means, and a terminal storage means, and a central processing unit equipped with a calculation means and a storage means, storing a reference location data set, a similarity threshold, and a display rule, which are composed of reference location data including reference location characteristic data, reference location microbiota data, and reference location NCP data, in at least one of the storage means and the terminal storage means; By running the program, A step of receiving input of target area microbiota linking data by the input means; A step of extracting target area microbiota data from the target area microbiota linkage data; Calculating the similarity between the microbiota data of the target site and the microbiota data of the reference site; comparing the similarity with the similarity threshold and extracting the microbiome data of the reference area having a high similarity; extracting the reference location NCP data included in the reference location data to which the reference location microbiome data with high similarity belongs as similar location NCP data; determining first display content from the similar location NCP data by referring to the display rules; displaying the first display content by the display means; It is an NCP reference system that performs the following:

[0011] (2) Another aspect of the present disclosure, different from (1), is an NCP reference system comprising a terminal equipped with an input means, a display means, a terminal calculation means, a terminal storage means, and a terminal transmission / reception means, and a central processing unit equipped with a calculation means, a storage means, and a transmission / reception means, The above terminal is By running a terminal program, A step of receiving input of target area microbiota linking data from the input means; transmitting the target area microbiota linking data to the central processing unit; The central processing unit storing a reference location data set consisting of reference location data including reference location characteristic data, reference location microbiota data, and reference location NCP data, and a similarity threshold in the storage means; By executing the central processing unit program, receiving the target area microbiota linking data from the terminal; A step of extracting target area microbiota data from the target area microbiota linkage data; Calculating the similarity between the microbiota data of the target site and the microbiota data of the reference site; comparing the similarity with the similarity threshold and extracting the microbiome data of the reference area having a high similarity; extracting, as similar location NCP data, the reference location NCP data included in the reference location data to which the reference location microbiome data with high similarity belongs; Furthermore, The central processing unit stores display rules in the storage means, and performs a step of determining first display content from the similar location NCP data by referring to the display rules, and a step of transmitting the first display content to the terminal. The terminal executes a terminal program to receive the first display content from the central processing unit, and a step of displaying the first display content on the display means. or the central processing unit transmits at least a portion of the similar location NCP data; The NCP reference system is an NCP reference system in which the terminal stores display rules in the terminal storage means and executes the terminal program to perform the following steps: receiving at least a portion of the similar location NCP data from the central processing unit; determining first display content from the similar location NCP data by referring to the display rules; and displaying the first display content on the display means.

[0012] (3) Another aspect of the present disclosure, other than (1) and (2), is an NCP reference system described in (1) or (2), in which the terminal and the central processing unit form an integrated device or devices arranged in close proximity.

[0013] (4) Another aspect of the present disclosure, different from (1) to (3), is a central processing unit including a computing means, a storage means, and a transmitting / receiving means, storing a reference location data set, a similarity threshold, and a display rule, which are composed of reference location data including reference location characteristic data, reference location microbiota data, and reference location NCP data, in the storage means; By executing the central processing unit program, receiving target location microbiota linkage data; A step of extracting target area microbiota data from the target area microbiota linkage data; Calculating the similarity between the microbiota data of the target site and the microbiota data of the reference site; comparing the similarity with the similarity threshold and extracting the microbiome data of the reference area having a high similarity; extracting the reference location NCP data included in the reference location data to which the reference location microbiome data with high similarity belongs as similar location NCP data; and moreover, transmitting at least a portion of the similar location NCP data by the transmitting / receiving means; or a central processing unit that performs the steps of determining first display content from the similar NCP data by referring to the display rules, and transmitting the first display content.

[0014] (5) Another aspect of the present disclosure, different from (1) to (4), is a terminal including an input means, a display means, a terminal calculation means, a terminal storage means, and a terminal transmission / reception means, The above terminal is By running a terminal program, A step of receiving input of target area microbiota linking data from the input means; transmitting the target area microbiota linking data to a central processing unit; Furthermore, receiving first display content derived from similar location NCP data from the central processing unit, and displaying the first display content on the display means; or a terminal that receives at least a part of the similar location NCP data from the central processing unit, determines the first display content from the similar location NCP data by referring to a display rule stored in the terminal storage device, and displays the first display content on the display means, The above similar area NCP data, A terminal that has been extracted through the steps of: calculating the similarity between the target location microbiome data extracted from the target location microbiome linking data and the reference location microbiome data; comparing the similarity with the similarity threshold to extract the reference location microbiome data with a high similarity; and extracting the reference location NCP data of the reference location data to which the reference location microbiome data with a high similarity belongs as similar location NCP data.

[0015] (6) Another aspect of the present disclosure, different from (1) to (5), is a configuration in which at least one of a central processing unit and a terminal includes: receiving target location microbiota linkage data; A step of extracting target area microbiota data from the target area microbiota linkage data; Calculating the similarity between the microbiota data of the target site and the microbiota data of the reference site; comparing the similarity with a similarity threshold to extract the microbiota data of the reference area having a high similarity; extracting the reference location NCP data of the reference location data to which the highly similar reference location microbiome data belongs as similar location NCP data; determining first display content from the similar location NCP data by referring to a display rule; and a step of displaying the first display content on a display means.

[0016] (7) Another aspect of the present disclosure, different from (1) to (6), is a configuration in which at least one of a central processing unit and a terminal includes: Calculating the similarity between the microbiota data of the target site and the microbiota data of the reference site; comparing the similarity with a similarity threshold to extract the microbiota data of the reference area having a high similarity; and extracting, as similar location NCP data, reference location NCP data from the reference location data to which the reference location microbiome data with high similarity belongs.

[0017] (8) Another aspect of the present disclosure, different from (1) to (7), is a central processing unit and / or a terminal. The program executes a step of displaying, by a display means, first display content including at least a portion of the content of similar location NCP data extracted using the similarity between the target location microbiome data and the reference location microbiome data.

[0018] (9) Another aspect of the present disclosure, different from (1) to (8), is a storage medium storing the program according to any one of (6) to (8).

[0019] (10) Another aspect of the present disclosure, different from (1) to (9), is a method for calculating a similarity between reference location microbiota data included in a reference location microbiota dataset and target location microbiota data; comparing the similarity with a similarity threshold to extract the microbiota data of the reference area having a high similarity; and extracting, as similar location NCP data, reference location NCP data of the reference location data to which the reference location microbiome data with high similarity belongs.

[0020] (11) Another aspect of the present disclosure, different from (1) to (10), is an NCP reference system according to any one of (1) to (3), or a central processing unit according to (4), or a terminal according to (5), or a program according to any one of (6) to (8), or a storage medium according to (9), in which the target local microbiome linking data includes target local microbiome data.

[0021] (12) Another aspect of the present disclosure, different from (1) to (11), is an NCP reference system described in any of (1) to (3), or a central processing unit described in (4), or a terminal described in (5), or a program described in any of (6) to (8), or a storage medium described in (9), wherein the target site microbiome linking data includes target site characteristic data, and the step of extracting the target site microbiome data is a step of obtaining the target site microbiome data linked to the target site characteristic data from the reference site microbiome data.

[0022] (13) Another aspect of the present disclosure, different from (1) to (12), is an NCP reference system described in any of (1) to (3), or a central processing unit described in (4), or a terminal described in (5), or a program described in any of (6) to (8), or a storage medium described in (9), wherein the target site microbiome linking data includes target site characteristic data, and the step of extracting the target site microbiome data is a step of comparing the target site characteristic data with the reference site characteristic data, selecting at least one of the reference site microbiome data, and regarding it as the target site microbiome data.

[0023] (14) Another aspect of the present disclosure, different from (1) to (13), is an NCP reference system described in any one of (1) to (3), or a central processing unit described in (4), or a terminal described in (5), or a program described in (6) or (8), or a storage medium described in (9), in which a second display content is linked to the first display content so as to be selectable by a selection input means.

[0024] (15) Another aspect of the present disclosure, other than (1) to (14), is an NCP reference system according to any one of (1) to (3), or a central processing unit according to (4), or a terminal according to (5), or a program according to (6) or (8), or a storage medium according to (9), in which the first display content includes an NCP item.

[0025] (16) Another aspect of the present disclosure, different from (1) to (15), is an NCP reference system, or a central processing unit, or a terminal, or a program, or a storage medium, as described in (14), in which the second display content includes an NCP item.

[0026] (17) Another aspect of the present disclosure, different from (1) to (16), is an NCP reference system, or a central processing unit, or a terminal, or a program, or a storage medium, as described in (15), in which the NCP items include a higher-level NCP item and a lower-level NCP item associated with the higher-level NCP item, and the higher-level NCP item and the lower-level NCP item are displayed separately in the first display content.

[0027] (18) Another aspect of the present disclosure, different from (1) to (17), is an NCP reference system, or a central processing unit, or a terminal, or a program, or a storage medium, as described in (14), in which the first display content includes higher-level NCP items and the second display content includes lower-level NCP items.

[0028] (19) Another aspect of the present disclosure, other than (1) to (18), is an NCP reference system described in any one of (1) to (3), or a central processing unit described in (4), or a terminal described in (5), or a program described in (6) or (8), or a storage medium described in (9), in which the first display content includes NCP item data or an NCP item data level marking.

[0029] (20) Another aspect of the present disclosure, different from (1) to (19), is an NCP reference system, or a central processing unit, or a terminal, or a program, or a storage medium, as described in (14), in which the second display content includes NCP item data or an NCP item data level notation.

[0030] (21) Another aspect of the present disclosure, different from (1) to (20), is an NCP reference system described in any one of (1) to (3), or a central processing unit described in (4), or a terminal described in (5), or a program described in (6) or (7), or a storage medium described in (9), further comprising a step of extracting the reference location data included in the reference location data to which the reference location microbiome data with the high degree of similarity belongs as similar location data.

[0031] (22) Another aspect of the present disclosure, different from (1) to (21), is an NCP reference system according to any one of (1) to (3), or a central processing unit according to (4), or a terminal according to (5), or a program according to (6) or (8), or a storage medium according to (9), in which the first display content includes similar location data and further displays the location identified by the similar location data on a map.

[0032] (23) Another aspect of the present disclosure, other than (1) to (22), is an NCP reference system, or a central processing unit, or a terminal, or a program, or a storage medium, described in (22), in which the map is a 3D map.

[0033] (24) Another aspect of the present disclosure, different from (1) to (23), is an NCP reference system, or a central processing unit, or a terminal, or a program, or a storage medium, as described in (22), in which the map is a map on which at least one data selected from the group consisting of water vein data, topographical data, sunshine data, temperature and humidity data, land use data, animal habitat data, insect habitat data, and plant vegetation data is overlaid.

[0034] (25) Another aspect of the present disclosure, other than (1) to (24), is an NCP reference system described in any one of (1) to (3), or a central processing unit described in (4), or a terminal described in (5), or a program described in (6) or (7), or a storage medium described in (9), or a method for extracting similar location NCP data described in (10), which includes a step of limiting the range of the reference location data set to be referenced before extracting the similar location NCP data.

[0035] (26) Another aspect of the present disclosure, other than (1) to (25), is an NCP reference system according to any one of (1) to (3), or a central processing unit according to (4), or a terminal according to (5), or a program according to (6) or (7), or a storage medium according to (9), or a method for extracting similar NCP data according to (10), in which an index selected from the group consisting of the Bray-Curtis index, the Jaccard index, and the Chao index is used to calculate the similarity.

[0036] (27) Another aspect of the present disclosure, other than (1) to (26), is an NCP reference system according to any one of (1) to (3), or a central processing unit according to (4), or a terminal according to (5), or a program according to (6) or (7), or a storage medium according to (9), or a method for extracting NCP data from similar locations according to (10), wherein the target location microbiome data is microbiome data obtained by DNA analysis using next-generation sequencing.

[0037] [Details of the embodiments of the present disclosure] Embodiments of the present disclosure will be described in detail below with reference to the accompanying drawings. Figures 1 to 4 are schematic diagrams of process flows. Figures 5 to 9 are schematic diagrams of display content. Figures 10 and 11 are schematic diagrams of the configuration of an NCP reference system. The same or corresponding parts in the figures are designated by the same reference numerals, and their description will not be repeated. Furthermore, at least some of the embodiments described below may be arbitrarily combined. Please note that the drawings are primarily intended to facilitate understanding, and that the constituent elements and dimensions such as length, width, thickness, and depth may differ from the actual dimensions. Furthermore, the drawings are merely examples and do not limit the scope of the present disclosure. The present disclosure is not limited to the drawings and illustrated embodiments, but is defined by the claims, and all modifications within the meaning and scope of the claims are intended to be included.

[0038] <ncp> NCP stands for "nature's contributions to people," and refers to the things nature brings to people, or the blessings of nature. The contents and items of NCP include many things, such as pollination, seed dispersal, water retention, CO2 absorption, the provision of habitats and living environments for living organisms, genetic and medicinal resources, air purification, climate regulation, ocean acidification regulation, nutrient supply to the oceans, water quality regulation, soil and sediment formation, protection, purification, and ground retention (prevention of soil erosion, landslides, etc.), food supply (crops, fruits, mushrooms, etc.), and animal damage prevention (prevention of animal intrusion into human living areas, etc.).

[0039] Many NCP items are interrelated, and some have a superior-subordinate relationship. A subordinate NCP item may be a factor that brings about the level of the superior NCP item, support the level of the superior NCP item, or be a phenomenon that occurs as a result of the superior NCP item.

[0040] For example, under the high-level NCP category of pollination and seed dispersal, lower-level NCP categories include insects such as bumblebees, honeybees, hoverflies, cowries, and swallowtail butterflies, birds such as Japanese white-eyes, and plants such as chestnuts, thistles, oaks, sawtooth oaks, and azaleas that attract insects. Under the high-level NCP category of water retention, lower-level NCP categories include beech and oak. Under the high-level NCP category of CO2 absorption, lower-level NCP categories include cedars, cypresses, pines, and sawtooth oaks that are 20 years old or younger. Under the high-level NCP category of providing habitats and habitats for organisms, lower-level NCP categories include the Japanese giant salamander, Japanese diving beetle, Japanese snowbell, sundew, Dorcus stag beetle, bladderwort, acorn-producing beech plants such as sawtooth oak and oak, and Miscanthus sinensis, a major component of grasslands. For the higher-level NCP item of genetic resources and medicinal resources, plants such as Rhacophora arboreum, Artemisia princeps, Geranium herbaceum, and Phellodendron amurense are listed as lower-level NCP items. For the higher-level NCP item of air purification, plants such as Chinese parasol tree, dogwood, and Japanese bayberry are listed as lower-level NCP items. For the higher-level NCP item of climate regulation, plants such as alder, keyamanouki, Sakhalin fir, and Japanese cypress are listed as lower-level NCP items. For the higher-level NCP item of ocean acidification regulation, plants such as mangrove forest groves are listed as lower-level NCP items. For the higher-level NCP item of nutrient supply to the ocean, soil animals such as earthworms and deciduous broad-leaved trees such as sawtooth oak and konara oak are listed as lower-level NCP items. For the higher-level NCP item of water quality regulation, aquatic plants such as water spurge, bladderwort, water lily, and wild rice are listed as lower-level NCP items. Under the higher-level NCP category of soil and sediment formation, protection, purification, and ground retention (prevention of soil erosion, landslides, etc.), lower-level NCP categories include trees such as alder, alder, horse chestnut, red pine, and white birch, soil fauna such as springtails, millipedes, and woodlice, and ectomycorrhizal fungi such as Amanita muscaria, Russula velutipes, and boletus. Under the higher-level NCP category of food supply (crops, fruits, mushrooms, etc.), lower-level NCP categories include Japanese yam, wild grape, Japanese bayberry, rubus rubus, Akebia sarunashi, bracken, myoga, water parsley, Smilax flavus, mugwort, matsutake mushroom, flamboyant mushroom, and bunashimeji mushroom.In contrast to the higher-level NCP item of preventing animal damage (preventing animal damage from entering human living areas, etc.), lower-level NCP items include plants that are not palatable to deer, such as Japanese laurel, Japanese andromeda, and monkshood.

[0041] The level of NCP items can be quantified by setting appropriate standards (NCP item data). For example, regarding the degree of water retention, if the area is close to a water vein and the topography predicts the presence of groundwater, it can be quantified as 3 points; if the vegetation suggests the presence of groundwater and there is vegetation with high water retention capacity, it can be quantified as 5 points; and conversely, if the area is far from a water vein and there is no vegetation with high water retention capacity, it can be quantified as 1 point. NCP item data, which are NCP items quantified in this way, are suitable for calculation processing and are useful. NCP item data for higher-level NCP items can also be calculated based on lower-level NCP item data.

[0042] Plant vegetation maintained at a high level in terms of diversity and quantity provides the following NCP items: habitats for organisms by providing flowers and fruits, shading, purifying the air, and providing hiding places; genetic and medicinal resources directly or indirectly through attracting animals and insects; pollination and seed dispersal by the animals and insects they attract; air purification; CO2 absorption; climate regulation; ocean acidity regulation through CO2 absorption; nutrient supply to the ocean by maintaining diverse ecosystems; water retention; water quality regulation; soil and sediment formation, protection, and purification; food supply; ground retention; and animal damage prevention, as exemplified by satoyama (satoyama forests). However, accurately identifying and measuring the diversity and quantity of vegetation requires examining each and every plant in the area, which is extremely costly, making it economically unrealistic to use vegetation itself as the basis for selecting and identifying NCP items. Even if a vegetation map is created by focusing on only specific plants, the NCP items that can be associated with it will be limited, biased, and lacking in accuracy.

[0043] NCP items may also involve data on the characteristics of the land, such as distance from water veins, topography, sunlight intensity, temperature and humidity, and the history of land use (transitions in use such as forest, residential land, satoyama, factories, commercial areas, etc.).

[0044] As mentioned above, there are many NCP items, so when considering the conservation and promotion of NCP in the development and use of a target area, it is desirable to develop a method for selecting and identifying NCP items that should be focused on.

[0045] Just as the intestinal flora influences human health, the vegetation of a given area is greatly influenced by the microbiota of that area. Furthermore, the above-mentioned land characteristic data related to NCP items can affect the microbiota, and ultimately the vegetation. The inventors came up with the idea of ​​focusing on the microbiota of a given area when selecting and identifying NCP items to focus on in that area. After extensive research, they completed the invention disclosed herein by using the similarity of the microbiota.

[0046] <Process flow> Figure 1 is a schematic diagram of a process flow including one embodiment of the present disclosure, which comprises the following steps: S1: Accept input of target area microbiota linking data. S2: Extract the target area microbiome data. S3: Calculate the similarity between the target site microbiome data and the reference site microbiome data in the reference site dataset. S4: The similarity is compared with a similarity threshold to extract the microbiome data of the reference area with high similarity. S5: The reference location NCP data of the reference location data to which the highly similar reference location microbiome data belongs is extracted as similar location NCP data. S6: Based on the similar location NCP data and the display rules, the first display content is determined. S7: The first display content is displayed by the display means 11.

[0047] Figure 2 is a schematic diagram of a process flow including an embodiment of the present disclosure different from that of Figure 1. It differs from Figure 1 in that step S7 is replaced by step S7', and step S7' is followed by steps S8 and S9. S7’: The first display content is displayed on the display means 11 in a selectable manner by the selection input means 16. S8: Select the second display content from the first display content that is displayed in a selectable manner. S9: Display the second display content.

[0048] Figure 3 is a schematic diagram of a process flow including an embodiment of the present disclosure different from FIGS. 1 and 2. It is different from FIG. 1 in that it includes step S5’. In FIG. 3, step S5’ is described after step S5, but step S5’ may be performed before step S5 or may be performed simultaneously. S5’: Extract the reference location data of the reference location data to which the reference location microbiota data with high similarity belongs as the similar location data.

[0049] Figure 4 is a schematic diagram of a process flow including an embodiment of the present disclosure different from FIGS. 1 to 3. It is different from FIG. 1 in that it includes step S10. In FIG. 4, step S10 is described between step S2 and step S3, but the performance of step S10 is not limited to this position. For example, it may be performed between step S3 and step S4, or may be performed between step S4 and step S5. S10: Limit the range of the reference location data set.

[0050] Hereinafter, each step and related phrases will be described.

[0051] <S1: Input of target location microbiota association data, S2: Extraction of target location microbiota data> S1: Receive the input of the target location microbiota association data. S2: Extract the target location microbiota data.

[0052] <Target location microbiota association data> The target site microbiome linking data may be the target site microbiome data. In this case, S2 extracts the target site microbiome data entered in S1. A person who wants to know the NCP items of the target site or a person who has been commissioned by such a person may commission an analysis of soil or water samples of the target site to an analysis manufacturer, and the analysis manufacturer may enter the target site microbiome data. Alternatively, a person who wants to know the above NCP items and has received the target site microbiome data from an analysis manufacturer or a person who has been commissioned by such a person may enter the above NCP items.

[0053] The target site microbiome linking data may also be identification data linking it to specific reference site microbiome data. For example, a person who wants to know the NCP items of a target site or a person commissioned by that person commissions an analysis manufacturer to analyze soil or water samples from the target site. The analysis manufacturer analyzes the sample's microbiome. The analysis manufacturer or the person commissioned registers the "target site microbiome data" obtained from the analysis as one of the reference site microbiome data in the reference site dataset. The analysis manufacturer or the person commissioned by that person then sends identification data for identifying the target site microbiome data from the reference site dataset to the person who wants to know the target site's NCP items. The person who wants to know the target site's NCP items then enters the identification data in S1. In this case, in S2, the "target site microbiome data" obtained by the analysis is extracted from the reference site dataset using the identification data.

[0054] The target site microbiome linking data includes target site characteristic data, and in S2, the target site characteristic data is compared with the reference site characteristic data in the reference site dataset to select at least one, and the reference site microbiome data contained in the reference site data to which the reference site characteristic data belongs may be extracted as the target site microbiome data. The comparison of the target site characteristic data with the reference site characteristic data and the selection of the reference site characteristic data may involve, for example, examining the distance between the target site and the reference site to select a nearby reference site. Alternatively, the reference site may be selected based on factors other than distance that hinder the movement and spread of microorganisms, such as rivers, oceans, and cities, the distance to water veins, topography, sunlight intensity, temperature, humidity, and land use history (e.g., changes in use patterns such as forests, residential areas, satoyama, factories, and commercial areas).

[0055] <Microbiome data> The microbiome is a collection of living microorganisms in an ecosystem. In the present disclosure, microorganisms include viruses, bacteria, archaea, fungi (such as molds (filamentous fungi), yeasts, etc.), and also include small protozoa and protists. Microbiome data is data of the microbiome obtained by DNA analysis of soil or water, and includes at least information on the names (microbial identification markers) and detection amounts (abundance of microorganisms in the soil) of the microorganisms present in the analyzed soil.

[0056] Target-site microbiome data is microbiome data obtained from soil or water samples collected at the target site. Reference-site microbiome data is microbiome data obtained from soil or water samples collected at the reference site. The target site may be included in the reference site.

[0057] <DNA analysis> Methods for DNA analysis and gene base sequence analysis include, but are not limited to, for example, DNA microarray, next-generation sequencing, PCR method, DGGE method, T-RFLP method, FISH method, etc. 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, 18S rRNA gene analysis is useful for identifying various eukaryotes including fungi and internal / external parasitic organisms, and fungal ITS is useful for identifying fungi. Calibration may be performed when analyzing DNA data by adding a standard sequence fragment such as an artificially designed DNA sequence or λ phage, after adjusting the concentration, to the PCR solution, and estimating the absolute abundance (nucleic acid concentration) of each species. The above analysis methods may be combined.

[0058] <Target site characteristic data, reference site characteristic data, similar site characteristic data> Land characteristic data may include land location data such as address and longitude / latitude information, and various items that may be related to NCP in the land, for example, distance from a water vein, terrain, sunshine duration, average temperature over a certain period, average precipitation, average humidity, and land use history (changes in usage forms such as forest, residential land, satoyama, factory, commercial land, etc.).

[0059] <S3: Similarity calculation> S3: Calculate the similarity between the target site microbiota data and the reference site microbiota data in the reference site dataset.

[0060] <Similarity> As a method for calculating the similarity between microbiota, a statistical analysis of the similarity pattern 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 taking the value obtained by subtracting the dissimilarity from 1 as the similarity is exemplified, but it is not limited thereto.

[0061] <S4: Extraction of microbiota data of highly similar reference sites> S4: Extract microbiota data of reference sites with high similarity by comparing the similarity with the similarity threshold.

[0062] <Similarity threshold> The similarity threshold may be appropriately set according to the desired similarity. When the index for which the similarity takes a value from 0 to 1, the similarity index may be used as a reference at 0.2 or more. It may be used as a reference at 0.3 or more. The upper limit may be less than 1.0. It may be used as a reference at 0.5 or more. When a similarity index exceeding 1 is used, the absolute value may be used as a reference at 0.1 or more. It may be used as a reference at 0.5 or more. It may be used as a reference at 1.0 or more. The upper limit may be, for example, 100 or less, 50 or less, or 10 or less, but is not particularly limited.

[0063] <S5: Extraction of NCP data of similar areas> S5: Extract the reference site NCP data included in the reference site data to which the above-mentioned microbiota data of the reference site with high similarity belongs as the NCP data of the similar area.

[0064] <NCP data> The NCP data includes NCP items. It may also include NCP item data.

[0065] <Reference site data, reference site data set, target site data> The reference site data includes reference site microbiota data and reference site NCP data. It may further include reference site characteristic data. The reference site data set consists of a plurality of reference site data. The target site data includes target site microbiota association data and target site characteristic data.

[0066] The larger the number of reference site data included in the reference site data set, the larger the number of reference site microbiota data, and the more diverse the characteristics appearing in the reference site characteristic data, the easier it is to identify highly similar reference site microbiota data, that is, the easier it is to extract appropriate similar sites. The number of reference site microbiota data may be 1000 or more, 10,000 or more, or 100,000 or more. The number of sampling locations of soil and water samples for obtaining reference site data may be 100 or more, 1000 or more, 10,000 or more, or 100,000 or more.

[0067] The acquisition locations of soil and water samples for obtaining reference site microbiota data, that is, the reference site characteristic data and reference site NCP data of the reference site, may be obtained through fieldwork at the sampling locations of the soil and water samples, or may be estimated as a result of the analysis of the reference site microbiota data. It may also be estimated as a result of the analysis of open source data such as animal and insect habitat maps, plant vegetation maps, topographic maps, land use maps, water vein maps, and satellite images. Even if the land shown in the above-mentioned open source data is not exactly the same as the sampling location of the above-mentioned soil and water samples, the content of the open source data of the neighboring land may be used as the reference site characteristic data and reference site NCP data. The number of reference data can be increased. Specifically, the neighboring land may be land within 1 km, 10 km, or 30 km from the sampling location of the above-mentioned soil and water samples. When there are factors inhibiting the similarity of microbiota data such as isolation by the sea, river, or large city, considering this, land at a closer distance than when there is no such inhibiting factor may be used as the neighboring land.

[0068] <S6: Determination of the First Display Content, S7: Display of the First Display Content> S6: Based on the similar location NCP data and the display rules, the first display content is determined. S7: The first display content is displayed by the display means 11.

[0069] <Display rules> The display rules are rules that determine, for example, the format of the display content, whether or not to display NCP items in comparison with the NCP item data of similar location NCP data, the NCP item display threshold that determines the category to which the NCP item data belongs when category labels are attached and displayed according to their level, the hierarchical structure of the display (e.g., first display content, second display content, etc.), and the display content of each level. For example, when displaying the similar location NCP data extracted in S5, the display rules determine the format of the display content, which content of the similar location NCP data should be displayed, how, if any, and in what order if hierarchical display, and whether or not to display content other than the similar location NCP data, such as target location characteristic data or an NCP item list. The similar location NCP item data may be a numerical value indicating the level of the NCP item, or it may be a category label (NCP item data level label) indicating the level, determined by comparison with the NCP item display threshold of the display rules. For example, if the level of an NCP item is quantified on a scale of 10 points, categories may be labeled such that if the value of the NCP item data is 7 points or more, it is displayed as ◎; if it is 3 points or more but less than 7 points, it is displayed as ○; and if it is less than 3 points, the NCP item itself is not displayed.

[0070] <Display contents> The display content may include, for example, similar area characteristic data, similar area location data, similar area NCP data, similar area NCP items, target area microbiome linking data, target area characteristic data, target area location data, reference area characteristic data, reference area location data, reference area NCP data, reference area NCP items, maps, explanations of NCP items, etc.

[0071] Similarly, the NCP data may be displayed together with a map. The map may be a 2D map or a 3D map. The 3D map may be a 3D model map, or a bird's-eye view that can confirm depth and is projected onto a 2D display, or a pseudo-3D map that can change the viewing point from various angles and obtain information similar to that of a 3D map by being able to confirm depth. Water vein data, terrain data, sunlight intensity data, temperature and humidity data, land use history (changes in usage forms such as forests, housing, satoyama, factories, commercial areas, etc.) data, animal habitat data (species distribution data, observation point data), insect habitat data (species distribution data, observation point data), and plant vegetation data may be superimposed and displayed on the map. Similarly, the land characteristic data can be understood俯瞰的に in light of the situation of the surrounding area. The map may be displayed so that the display range can be enlarged or reduced by the selection input means 16 or other means. The operator of the terminal 1 can easily obtain information on the desired land.

[0072] <S7’: Display the first display content in a selectable manner, S8: Select the second display content, S8: Display the second display content> S7’: Display the first display content by the display means 11 in a manner selectable by the selection input means 16. S8: Select the second display content from the first display content displayed in a selectable manner. S9: Display the second display content.

[0073] In S7’ to S9, the display content is hierarchically displayed according to the above display rules, and at least a part of the transition between the hierarchies reflects the selection action of the operator of the selection input means 16. The difference between S7’ and S7 is that in S7’, the first display content is displayed in a manner selectable by the selection input means 16. When the operator of the selection input means 16 selects from the options in the first display content, the second display content is displayed on the display means 11. Note that the second display content may be displayed in a selectable manner, and when the operator of the selection input means 16 selects, the third display content may be displayed on the display means 11. The (N - 1)th (N is at least one integer selected from an integer group of 2 or more) display content may be displayed in a selectable manner, and when the operator of the selection input means 16 selects, the Nth display content may be displayed on the display means 11.

[0074] <S5’: Similar location data extraction> S5’: Extract the reference location data of the reference location data to which the reference location microbiota data with a high similarity belongs as similar location data. In FIG. 3, the S5’ step is described after the S5 step, but the S5’ step may be performed before the S5 step or may be performed simultaneously.

[0075] <S10: Limiting the range of the reference location data set> S10: Limit the range of the reference location data set to be referred to. This step is a step of limiting the range of the reference location data set to be used for reference. In FIG. 4, the S10 step is described between the S2 step and the S3 step, but the S10 step is not limited to this position. For example, it may be performed between the S3 step and the S4 step, or may be performed between the S4 step and the S5 step. In some cases, the computational load associated with similarity calculation can be reduced by being located before the S3 step. As something leading to the limitation of the range of the reference location data set, for example, the range of the reference location may be limited. For example, by limiting the range of the reference location to a specific prefecture or within 100 km from the target location, the range of the reference location data set is limited by referring to the reference location data. As a result, the reference location microbiota data for calculating the similarity is limited, the target for extracting the similar location NCP data is limited, and the computational load can be reduced. Also, by limiting the NCP items to be displayed as the similar location NCP items, the range of the reference location data set is limited to the reference location data having those NCP items. As a result, the reference location microbiota data for calculating the similarity is limited, the target for extracting the similar location NCP data is limited, and the computational load can be reduced. Also, it becomes easier to include only the required NCP items in the display content.

[0076] <Examples of display content> The following describes the display contents exemplified in Figures 5 to 9. For convenience, they are referred to as the first display content and the second display content, but in practice they may be the third display content and the fourth display content, the fourth display content and the sixth display content, or the XY display content and the Xth display content (X and XY are integers equal to or greater than 1).

[0077] An example of the first display content is shown in Figure 5. In this example, the target location identification number, which is the target location microbiome linking data, and a list of similar location location data and similar location NCP items are displayed. Part of the list is omitted.

[0078] Figure 6 shows an example of display content different from that shown in Figure 5. In this example, similar location data is displayed in a selectable manner in the first display content, and the second display content is selected by the operator using the selection input means 16. The second display content shows the second display content when address A is selected as similar location data, and the display content when address B is selected. The second display content displays the similar location NCP items and similar location NCP item data. The NCP item data in the second display content of Figure 6 is labeled with a category label.

[0079] Figure 7 shows an example of display content different from Figures 5 and 6. In this example, NCP items are displayed selectably in the first display content, and pollination is selected as the NCP item by the operator using the selection input means 16, and second display content is displayed in accordance with that selection. In the second display content, similar land location data, similar land NCP items, and similar land NCP item data (NCP item level) for similar land that includes pollination, which is the selected NCP item, are displayed in a list.

[0080] FIG. 8 shows an example of display content different from FIGS. 5 to 7. In this example, similar location data and similar location NCP items are displayed as the first display content. However, the upper NCP items and the lower NCP items are separated, and the upper NCP items and the lower NCP items related to the upper NCP items are displayed. In this example, the upper NCP items and the lower NCP items are included in the same table, but the upper NCP items are displayed selectably, and the lower NCP items may be displayed as the second display content according to the selection.

[0081] FIG. 9 shows an example of display content different from FIGS. 5 to 8. FIG. 9A shows similar location data displayed as white inverted triangle flags on a (pseudo) 3D map as the first display content. FIG. 9B shows similar location data displayed as inverted triangle flags on a 2D map showing municipality boundaries and aquifer maps as the first display content. Similar NCP items are linked to the similar location data, and by selecting the similar location data with the selection input means 16, the similar NCP items are displayed in the second display content.

[0082] <Configuration of NCP reference system and device> FIG. 10 shows an example of a configuration schematic diagram of an NCP reference system according to the present disclosure. This system consists of a terminal 1 and a central processing unit 2. The terminal 1 includes a display means 11, an input means 12, a terminal transmission / reception means 13, a terminal arithmetic means 14, and a terminal storage means 15. The central processing unit 2 includes an arithmetic means 21, a storage means 22, and a transmission / reception means 23. The terminal 1 and the central processing unit 2 transmit information through the information transmission means 3. In FIG. 10, one terminal 1 and one central processing unit 2 constitute the NCP reference system, but there may be multiple terminals 1 or multiple central processing units 2.

[0083] The terminal 1 is a computer. It may be a client computer. It may also be hardware dedicated to this system, a personal computer, a workstation, a PDA, a tablet, or a smartphone.

[0084] The display means 11 is a means for displaying the display content, and may be a flat display screen, a projection mechanism for the display content, a glasses-type or goggle-type display, or a head-mounted display.

[0085] The input means 12 is a means for inputting target site microbiota linking data. In addition to the target site microbiota linking data, data such as target site characteristic data, reference site microbiota data, reference site characteristic data, reference site NCP data, similarity thresholds, display rules, and map information may be input. The input means 12 may be equipped with an input section for media such as a USB, HDD, CD-ROM, or DVD, and may input the above data via the above media. It may be equipped with a receiving function for wireless or wired communication to receive the above data. It may be equipped with a receiving function for internet communication to receive the above data.

[0086] The terminal transmitting / receiving means 13 is a means corresponding to the information transmission means 3. It is a means for receiving display contents from the central processing unit 2 and transmitting the contents selected by the selection input means 16 to the central processing unit 2. Although it is referred to as the terminal transmitting / receiving means for ease of description of the configuration, it may be composed of a separate terminal transmitting means and a separate terminal receiving means, in which case the transmitting step is carried out by the terminal transmitting means and the receiving step is carried out by the terminal receiving means.

[0087] The terminal calculation means 14 is a calculation means that drives, controls, and performs calculation processing on the terminal 1. For example, it may be a CPU, a GPU, or from another perspective, an integrated circuit (IC, LSI, etc.). It may also be responsible for part of the driving, control, and calculation processing of the central processing unit 2.

[0088] The terminal storage means 15 is a means for storing data such as programs for causing the terminal 1 to perform desired processing, display rules, map information, etc., and may be a memory or a hard disk.

[0089] The central processing unit 2 is a computer. It may be a server computer. It may be hardware dedicated to this system, or it may be a mainframe, supercomputer, workstation, or personal computer. In Figure 10, means that are normally included in the central processing unit 2, such as input means, output means, and control means, are omitted, but these means may naturally be included. For example, data such as reference site microbiome data, reference site characteristic data, reference site NCP data, similarity thresholds, display rules, and map information may be stored in the storage means 22 via input means included in the central processing unit 2. The input means included in the central processing unit 2 may include an insertion section for media such as USB, HDD, CD-ROM, or DVD, and the data may be input via the media. It may be equipped with a receiving function for wireless or wired communication to receive the data. It may be equipped with a receiving function for Internet communication to receive the data.

[0090] The calculation means 21 is a calculation means that drives, controls, and performs calculation processing on the central processing unit 2. For example, it may be a CPU, a GPU, or from another perspective, an integrated circuit (IC, LSI, etc.). It may also be responsible for part of the driving, control, and calculation processing of the terminal 1.

[0091] The storage means 22 is a means for storing data such as programs that cause the terminal 1 or the central processing unit 2 to perform desired processing, reference site microbiome data, reference site characteristic data, reference site NCP data, similarity thresholds, display rules, and map information, and may be a memory or a hard disk.

[0092] The transmitting / receiving means 23 is a means corresponding to the information transmission means 3. It is a means for transmitting display contents to the terminal 1 and receiving selection contents from the terminal 1 by the selection input means 16. Although it is referred to as a transmitting / receiving means for ease of description of the configuration, it may be composed of separate transmitting means and separate receiving means, in which case it is the transmitting means that performs the transmitting step and the receiving means that performs the receiving step.

[0093] The information transmission means 3 may be a wired cable, wireless communication, or an Internet line. In the case of wireless communication or an Internet line, the degree of freedom in arranging the terminal 1 and the central processing unit 2 can be increased. If it is an Internet line, it is possible to easily access the central processing unit 2 from many terminals 1.

[0094] If the performance of the terminal arithmetic means 14 and the terminal storage means 15 possessed by the terminal 1 is high, the processing amount at the terminal 1 can be increased and high-speed processing becomes possible. The load on the central processing unit 2 in the processing of the entire system can be reduced. Since the amount of information transmission between the terminal 1 and the central processing unit 2 can be reduced, the load on the information transmission means 3 can be reduced. The low performance of the terminal arithmetic means 14 and the terminal storage means 15 possessed by the terminal 1 is advantageous for reducing the weight and cost of the terminal 1.

[0095] FIG. 11 shows an example of a configuration schematic diagram of an NCP reference system according to another disclosure different from FIG. 10. The point that the terminal 1 includes the selection input means 16 is different from FIG. 10. The selection input means 16 is a means for selecting an option when the display content is displayed on the display means 11 so as to be selectable. The selection input means 16 may be a voice input device. It may 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.

[0096] In FIGS. 10 and 11, the terminal 1 and the central processing unit 2 are separated, but the two may be integrated, or may be installed close to each other and used as if they were integrated in practice. The information transmission means 3 may be a wired cable.

[0097] <Examples of the implementation of NCP reference system development> A workstation (WS4000TRX50A) was prepared, which was equipped with a calculation means 21 and a storage means 22 as the central processing unit 2, and was equipped with a means for exchanging data with the terminal 1 via an internet line as the information transmission means 3. A personal computer having a keyboard and a mouse as the selection input means 16 was prepared as the terminal 1.

[0098] Microbiota data for soil or water from 200 locations across Japan was stored as reference site microbiota data in the storage means 22 of the workstation. The soil or water microbiota data was obtained by next-generation sequencing (amplicon sequencing) using Illumina's Iseq100. The longitude and latitude of the soil or water collection site were used as reference site location data, and reference site information obtained by processing open source data such as topographical maps, land use maps, hydrological maps, and satellite images was stored in the storage means 22 together with the reference site location data as reference site characteristic data.

[0099] In addition, the following were set as higher-order NCP items: pollination, seed dispersal, water retention, CO2 absorption, provision of habitats and living environments for organisms, genetic resources and medicinal resources, air purification, climate regulation, regulation of ocean acidification, supply of nutrients to the ocean, water quality regulation, formation, protection, purification and ground maintenance of soil and sediments (prevention of soil erosion, landslides, etc.), food supply (crops, fruits, mushrooms, etc.), and animal damage prevention (prevention of animal damage from entering human living areas, etc.), and plants, animals and insects related to the above higher-order NCP items were extracted from a large amount of prior art literature (for example, Kinoda Kimiko, Takamizawa Kesao, Ito Nobuo, "Illustrated Guide to Japanese Bumblebees," Hokkaido University Press), organized, and stored in storage means 22 as lower-order NCP items. Animals, insects, and microorganisms inhabiting the reference area and wild or cultivated plants that are derived from the analysis of the reference area microbiome data and that match the above-mentioned lower-order NCP items, and animals, insects, and microorganisms inhabiting the reference area and wild or cultivated plants that are derived from the analysis of the open source data, animal and insect habitat maps and plant vegetation maps, that match the above-mentioned lower-order NCP items, were stored together with the higher-order NCP items as reference area NCP items in storage means 22. The higher-order NCP items and lower-order NCP items of the reference area were quantified and included in the reference area NCP items as reference area NCP item data.

[0100] The similarity threshold and display rules are stored in the storage means 22, and 2D map information (general-purpose maps (Geographical Survey Institute maps) containing place names, major transportation networks, municipal boundaries, etc.), and special maps (topographical maps (NASADEM), land use subdivision meshes (Ministry of Land, Infrastructure, Transport and Tourism), hydrological environment maps and Japan hydrogeological maps (AIST)) are also stored in the storage means 22.

[0101] The program was stored in the storage means 22. The above program receives the input of the target area microbiota data, calculates the similarity between the target area microbiota data and each reference area microbiota data using the Bray-Curtis index, extracts the high-similarity reference area microbiota data by comparing the similarity with the similarity threshold, extracts the similarity NCP data, determines the first display content based on the display rules, sends the first display content to the terminal 1 via the Internet line, receives the selection command by the selection input means 16 of the terminal 1 via the Internet line, determines the second display content according to the above selection command, sends the second display content to the terminal 1, and corresponds to the limitation command of the reference area data set range from the terminal 1.

[0102] <Example 1 of using the NCP reference system> In order to maximize the NCP of the development target area A, it was decided to extract the NCP items to be noted using the NCP reference system. As a result of inputting the target area microbiota data from the terminal 1 and sending it to the central processing unit 2, the similar area location data of a plurality of similar areas were displayed on the display which is the display means 11 of the terminal 1 in a selectable manner. The similar area location data was displayed on the map of Japan. By narrowing the search range within 100 km from the target area and selecting the above similar area location data of the similar area with the mouse which is the selection input means 16, the similar area NCP items and the similar area characteristic data were displayed. Among them, there were upper NCP items such as pollen-mediated and seed-dispersal, and the honeybee, chestnut, aster that contribute to it, upper NCP items such as the provision of habitats and living environments for organisms, and the dragonfly, moss, and pampas grass that contribute to it, upper NCP items such as the water retention function, and the Japanese elm that contributes to it. It was noted that among the similar areas, there are wetlands that are habitats for rare organisms and maintain a high level for the upper NCP item of the provision of habitats and living environments for organisms. In the target area, in order to maximize the NCP of the provision of habitats and living environments for organisms, it was decided to carry out wetland formation including appropriate tree felling, etc.

[0103] <Example 2 of using the NCP reference system> In the development target area B, considering the impact on the surrounding orchards, in order to maximize the NCP of "pollination", the NCP items of similar areas to be referenced were extracted using the NCP reference system. The microbial flora data of the target area was input from the terminal 1, and the NCP items to be searched were limited to "pollination" and sent to the central processing unit 2. As a result, the similar area location data of multiple similar areas was displayed on the display, which is the display means 11 of the terminal 1, in a selectable manner. As a result of selecting the above similar area location data with the mouse, which is the selection input means 16, the NCP items related to the pollination of the similar area were displayed. Among them, the crow ash tree, which has a high effect of attracting bees, was included. Since the microbial flora data is similar, good growth is expected even if the crow ash tree is planted. Therefore, it was decided to plant the crow ash tree.

[0104] <Example 3 of using the NCP reference system> The development target area C is located on the mountainside. The agricultural and domestic water in the area at the foot of the mountain depends on the spring water from the mountain. In order to maximize the NCP of "water retention", the NCP items of similar areas to be referenced were extracted using the NCP reference system. The microbial flora data of the target area was input from the terminal 1, and the NCP items to be searched were limited to "water retention" and sent to the central processing unit 2. As a result, the similar area location data of multiple similar areas was displayed on the display, which is the display means 11 of the terminal 1, in a selectable manner. The display mode was changed to display a list of NCP items related to the water retention of the similar area. Among them, the water birch, which has a high water retention effect, was included. Since the microbial flora data is similar, good growth is expected even if the water birch is planted. Therefore, it was decided to plant the water birch.

Explanation of symbols

[0105] 1 Terminal 11 Display means 12 Input means 13 Terminal transmission / reception means 14 Terminal arithmetic means 15 Terminal storage means 16 Selection input means 2 Central processing unit 21 Arithmetic means 22 Memory means 23 Transmission and Reception Means 3. Means of information transmission< / ncp>

Claims

1. An NCP reference system comprising a terminal equipped with an input means, a display means, a terminal calculation means, and a terminal storage means, and a central processing unit equipped with a calculation means and a storage means, A reference location data set consisting of reference location data including reference location characteristic data, reference location microbiota data, and reference location NCP data, a similarity threshold, and a display rule are stored in at least one of the storage means and the terminal storage means; By running the program, A step of receiving input of target area microbiota linking data by the input means; Extracting target area microbiota data from the target area microbiota linkage data; Calculating the similarity between the microbiota data of the target site and the microbiota data of the reference site; A step of comparing the similarity with the similarity threshold and extracting the microbiota data of the reference area having a high similarity; extracting the reference location NCP data included in the reference location data to which the reference location microbiota data with high similarity belongs as similar location NCP data; determining first display content from the similar location NCP data by referring to the display rules; and a step of displaying the first display content by the display means.

2. 2. The NCP referencing system according to claim 1, wherein said terminal and said central processing unit form an integrated device or devices arranged in close proximity.

3. A central processing unit comprising a computing means, a storage means, and a transmitting / receiving means. storing a reference location data set, a similarity threshold, and a display rule, the reference location data set including reference location characteristic data, reference location microbiota data, and reference location NCP data, in the storage means; By executing a central processing unit program receiving target location microbiota linkage data; Extracting target area microbiota data from the target area microbiota linkage data; Calculating the similarity between the microbiota data of the target site and the microbiota data of the reference site; A step of comparing the similarity with the similarity threshold and extracting the microbiota data of the reference area having a high similarity; extracting the reference location NCP data included in the reference location data to which the reference location microbiota data with high similarity belongs as similar location NCP data; and moreover, transmitting at least a portion of the similar location NCP data by the transmitting / receiving means; or a step of determining first display content from the similar location NCP data by referring to the display rules; and a step of transmitting the first display content by the transmitting / receiving means. A central processing unit that performs

4. A terminal equipped with an input means, a display means, a terminal calculation means, a terminal storage means, and a terminal transmission / reception means, The terminal executes the terminal program, A step of receiving input of target area microbiota linking data from the input means; transmitting the target area microbiota linking data to a central processing unit; Furthermore receiving first display content derived from the similar location NCP data from the central processing unit, and displaying the first display content on the display means; or A terminal that performs a step of receiving at least a part of the similar location NCP data from the central processing unit, determining first display content from the similar location NCP data by referring to a display rule stored in the terminal storage means, and displaying the first display content on the display means, A terminal in which the similar location NCP data is extracted by a process including a step of calculating the similarity between the target location microbiome data extracted from the target location microbiome linking data and the reference location microbiome data.

5. To your computer Calculating the similarity between the microbiota data of the target site and the microbiota data of the reference site; A step of comparing the similarity with a similarity threshold and extracting the microbiota data of the reference area having a high similarity; extracting, as similar location NCP data, reference location NCP data of the reference location data to which the reference location microbiome data with high similarity belongs; A program that executes the following.

6. To your computer displaying, by a display means, a first display content including at least a part of the content of the similar location NCP data extracted using the similarity between the target location microbiome data and the reference location microbiome data; A program that executes the following.

7. A storage medium storing the program according to claim 5 or 6.

8. Calculating the similarity between the reference site microbiome data included in the reference site microbiome dataset and the target site microbiome data; A step of comparing the similarity with a similarity threshold and extracting the microbiota data of the reference area having a high similarity; extracting, as similar location NCP data, reference location NCP data of the reference location data to which the reference location microbiome data with high similarity belongs; A similar location NCP data extraction method, including:

9. An NCP reference system as described in claim 1, or a central processing unit as described in claim 3, or a terminal as described in claim 4, or a program as described in claim 6, wherein a second display content is linked to the first display content so as to be selectable by a selection input means.

10. 7. The NCP reference system according to claim 1, wherein the first display content includes an NCP item.

8. The NCP reference system according to claim 1, wherein the first display content includes an NCP item.

11. An NCP reference system, or central processing unit, or terminal, or program as described in claim 10, wherein the NCP items include upper NCP items and lower NCP items associated with the upper NCP items, and the upper NCP items and the lower NCP items are displayed separately in the first display content.

12. 10. The NCP reference system according to claim 1, wherein the first display content includes NCP item data or NCP item data level notation.

11. The NCP reference system according to claim 10, wherein the first display content includes NCP item data or NCP item data level notation.

13. An NCP reference system as described in claim 1, or a central processing unit as described in claim 3, or a terminal as described in claim 4, or a program as described in claim 5, further comprising a step of extracting reference location data included in the reference location data to which the reference location microbiome data with high similarity belongs as similar location data.

14. An NCP reference system as described in claim 1, or a central processing unit as described in claim 3, or a terminal as described in claim 4, or a program as described in claim 6, wherein the first display content includes similar location data and displays the location identified by the similar location data on a map.

15. An NCP reference system as described in claim 1 or a central processing unit as described in claim 3, which includes a step of limiting the range of the reference land data set to be referenced before extracting the similar land NCP data, or a terminal as described in claim 4 or a program as described in claim 5 or a method for extracting similar land NCP data as described in claim 8, which includes a step of limiting the range of the reference land data set to be referenced.

Images