CN110781353A - Coral reef fish competition pressure query and resource allocation method based on competition graph - Google Patents

Coral reef fish competition pressure query and resource allocation method based on competition graph Download PDF

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CN110781353A
CN110781353A CN201911007095.9A CN201911007095A CN110781353A CN 110781353 A CN110781353 A CN 110781353A CN 201911007095 A CN201911007095 A CN 201911007095A CN 110781353 A CN110781353 A CN 110781353A
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competition
fish
coral reef
population
pressure
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CN110781353B (en
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黄冬梅
赵丹枫
黄洲
许强
宋巍
贺琪
杜艳玲
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Shanghai Ocean University
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/901Indexing; Data structures therefor; Storage structures
    • G06F16/9024Graphs; Linked lists
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/903Querying
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/004Artificial life, i.e. computing arrangements simulating life
    • G06N3/006Artificial life, i.e. computing arrangements simulating life based on simulated virtual individual or collective life forms, e.g. social simulations or particle swarm optimisation [PSO]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
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    • G06Q50/26Government or public services
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    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A40/00Adaptation technologies in agriculture, forestry, livestock or agroalimentary production
    • Y02A40/80Adaptation technologies in agriculture, forestry, livestock or agroalimentary production in fisheries management
    • Y02A40/81Aquaculture, e.g. of fish

Abstract

The invention discloses a coral reef fish competition pressure query and resource allocation method based on a competition graph, which comprises the following steps of: 1) analyzing according to the distance value between the fish population of the target coral reef and the coral reef and according to the distance value to obtain a fixed value as a dependence standard of the fish population of the target coral reef; 2) selecting a fish population of a target coral reef and the coral reef, and constructing a competition graph; 3) carrying out LSH (least squares fit) improvement on the competition graph, and estimating the neighborhood overlapping degree of each coral reef fish point and other coral reef fish points; 4) defining resource competition degree and competition value; 5) acquiring a fixed value as a pressure standard according to the competition value, and regarding the fish population with the competition value exceeding the pressure standard as an overpressure fish population; 6) defining overall competitive pressure to evaluate the overall competitive pressure of the coral reef fishes in the target sea area; 7) and formulating a resource allocation strategy, and screening a range within the dependence standard of the fish population periphery with overhigh overall competition pressure to obtain the artificial reef placement position.

Description

Coral reef fish competition pressure query and resource allocation method based on competition graph
Technical Field
The invention relates to the field of coral reef fish protection, in particular to a coral reef fish competition pressure query and resource allocation method based on a competition graph.
Background
Coral reefs are structures formed by animals of the order stoneworthus and can be so large as to affect the physical and ecological conditions of their surroundings. Coral reefs exist in both deep and shallow seas, providing a living environment for many animals and plants, including worms, mollusks, sponges, echinoderms, and crustaceans, and furthermore coral reefs are also the habitat for juvenile fish of fish in the ocean. At present, a method for coral reef fish competition pressure query and resource allocation is lacked, so that the protection of the coral reef fish cannot be scientifically and reasonably arranged.
Disclosure of Invention
The invention aims to provide a coral reef fish competition pressure query and resource allocation method based on a competition graph aiming at the defects in the prior art, so as to solve the problems in the prior art.
The technical problem solved by the invention can be realized by adopting the following technical scheme:
a coral reef fish competition pressure query and resource allocation method based on a competition graph comprises the following steps:
1) analyzing a fixed value according to the distance values between all the fish populations of the target coral reef and the distance values to obtain a dependence standard taking the fixed value as the fish population of the target coral reef;
2) selecting a fish population of a target coral reef as a point a, selecting a coral reef as a point b, and calculating the distance between the point a and the point b; if the distance between the two is smaller than the dependence standard, the selected fish population is determined to depend on the selected coral reef, an oriented edge is connected from the point a to the point b, and a bipartite graph is constructed and defined as a competition graph;
3) performing improved LSH on the competition graph, and estimating the neighborhood overlapping degree of each coral reef fish point and other coral reef fish points, wherein the improved LSH process comprises the steps of constructing an adjacency list once and performing Hash mapping for multiple times; finally, calculating the similarity through a Jaccord system;
4) defining resource competition degree and competition value;
the fish populations A and B are set, the coral reef sets depended by the fish populations A and B are N (A) and N (B), and the resource competitiveness of the fish populations A and B is defined as follows:
Figure BDA0002243095580000021
wherein, | v | represents the resource amount of the coral reef;
the resource competition degree represents the competition relationship of the two fish populations, and is in inverse proportion to the quantity of coral reef resources competing by the two fish populations;
fish population A, C (A) ═ u is provided 1,u 2,...,u nIs a competitive population set of fish population a, the competitive value of fish population a is defined as:
Figure BDA0002243095580000022
the competition value quantifies and reflects the comprehensive degree of interspecific competition between the fish population A and a competition population which has a competition relation with the fish population A and intraspecific competition inside the fish population A;
5) acquiring a fixed value as a pressure standard according to the competition value, and taking the fish population with the competition value exceeding the pressure standard as an overpressure fish population to be protected by taking protective measures;
6) defining overall competitive pressure to evaluate the overall competitive pressure of the coral reef fishes in the target sea area;
7) formulating a resource allocation strategy, and reasonably screening a range within the dependence standard of the fish population periphery with overhigh overall competition pressure to obtain the placement position of the artificial reef; the above process is iterative, and finally the overall competition pressure of the coral reef fishes in the whole target sea area is reduced.
Compared with the prior art, the invention has the beneficial effects that:
1. and a 'dependency standard' is provided, and a basis is provided for dependency relationship quantification.
1. By constructing a 'competition diagram' of the dependence relationship between the coral reef fish population and the coral reef, the dependence relationship between the coral reef fish population and the coral reef and the intra-species and intermediate competition relationship generated by the dependence relationship can be simply and clearly expressed.
2. A competition pressure query method based on the LSH is provided, and the specific competition value of each coral reef fish population in a large sea area can be estimated with high precision in a very short time.
3. And (5) providing a pressure standard and screening the overpressure fish school.
4. And (4) providing a reasonable artificial reef placement strategy, namely a resource allocation method.
5. The overall competition pressure of the coral reef fishes in the specific sea area is obviously reduced through the measures.
6. Lays a foundation for subsequent marine science and biology research.
Drawings
Fig. 1 is a flowchart of a coral reef fish competition pressure query and resource allocation method based on a competition graph.
Fig. 2 is a schematic view illustrating the placement of artificial reefs on coral reefs to reduce overall competitive pressure according to the present invention.
Fig. 3 is a time-consuming comparison graph of the LSH and the modified LSH algorithm according to the present invention.
Fig. 4 is a diagram illustrating the overall competitive pressure and the improvement rate of the overall competitive pressure according to the present invention.
Detailed Description
In order to make the technical means, the creation characteristics, the achievement purposes and the effects of the invention easy to understand, the invention is further described with the specific embodiments.
Referring to fig. 1 and 2, the coral reef fish competition pressure query and resource allocation method based on the competition graph comprises the following steps:
1) analyzing a fixed value according to the distance values between all the fish populations of the target coral reef and the distance values to obtain a dependence standard taking the fixed value as the fish population of the target coral reef;
2) selecting a fish population of a target coral reef as a point a, selecting a coral reef as a point b, and calculating the distance between the point a and the point b; if the distance between the two is smaller than the dependence standard, the selected fish population is determined to depend on the selected coral reef, an oriented edge is connected from the point a to the point b, and a bipartite graph is constructed and defined as a competition graph;
3) performing improved LSH on the competition graph, and estimating the neighborhood overlapping degree of each coral reef fish point and other coral reef fish points, wherein the improved LSH process comprises the steps of constructing an adjacency list once and performing Hash mapping for multiple times; finally, calculating the similarity through a Jaccord system;
4) defining resource competition degree and competition value;
the fish populations A and B are set, the coral reef sets depended by the fish populations A and B are N (A) and N (B), and the resource competitiveness of the fish populations A and B is defined as follows:
Figure BDA0002243095580000041
wherein, | v | represents the resource amount of the coral reef;
the resource competition degree represents the competition relationship of the two fish populations, and is in inverse proportion to the quantity of coral reef resources competing by the two fish populations;
fish population A, C (A) ═ u is provided 1,u 2,...,u nIs a competitive population set of fish population a, the competitive value of fish population a is defined as:
Figure BDA0002243095580000051
the competition value quantifies and reflects the comprehensive degree of interspecific competition between the fish population A and a competition population which has a competition relation with the fish population A and intraspecific competition inside the fish population A;
5) acquiring a fixed value as a pressure standard according to the competition value, and taking the fish population with the competition value exceeding the pressure standard as an overpressure fish population to be protected by taking protective measures;
6) defining overall competitive pressure to evaluate the overall competitive pressure of the coral reef fishes in the target sea area;
7) formulating a resource allocation strategy, referring to fig. 3, reasonably screening a range within the dependence standard of the fish population periphery with over-high overall competition pressure to obtain an artificial reef placement position; the above process is iterative, and finally the overall competition pressure of the coral reef fishes in the whole target sea area is reduced.
Example 1
The data of the coral reef and the fishes are adopted in the United states near coast of 2002-.
Referring to FIG. 4, ALLP is the overall competitive pressure and IR is the overall competitive pressure improvement rate.
The higher the initial ALLP, the more significant the resource allocation, with initial ALLP of about 1051032.55 and 1462067.50 in 2004 and 2005, respectively, ALLP of about 73384.73 and 143330.48 after resource allocation, and IR reaching 93.03% and 90.20%, respectively. In the lower years of the initial ALLP, the overall competition pressure in the sea area is small, and the demand for resource allocation is small. Therefore, the improvement rate is not high.
The time consumed by algorithm 1 includes the time to read the file and build the competition graph. Algorithm 1 takes more time than algorithm 2, but remains between 130000ms and 180000ms, the procedure is more stable, and the overall time consumption is low.
The foregoing shows and describes the general principles and broad features of the present invention and advantages thereof. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.

Claims (1)

1. A coral reef fish competition pressure query and resource allocation method based on a competition graph is characterized by comprising the following steps:
1) analyzing a fixed value according to the distance values between all the fish populations of the target coral reef and the distance values to obtain a dependence standard taking the fixed value as the fish population of the target coral reef;
2) selecting a fish population of a target coral reef as a point a, selecting a coral reef as a point b, and calculating the distance between the point a and the point b; if the distance between the two is smaller than the dependence standard, the selected fish population is determined to depend on the selected coral reef, an oriented edge is connected from the point a to the point b, and a bipartite graph is constructed and defined as a competition graph;
3) performing improved LSH on the competition graph, and estimating the neighborhood overlapping degree of each coral reef fish point and other coral reef fish points, wherein the improved LSH process comprises the steps of constructing an adjacency list once and performing Hash mapping for multiple times; finally, calculating the similarity through a Jaccord system;
4) defining resource competition degree and competition value;
the fish populations A and B are set, the coral reef sets depended by the fish populations A and B are N (A) and N (B), and the resource competitiveness of the fish populations A and B is defined as follows:
Figure FDA0002243095570000011
wherein, | v | represents the resource amount of the coral reef;
the resource competition degree represents the competition relationship of the two fish populations, and is in inverse proportion to the quantity of coral reef resources competing by the two fish populations;
fish population A, C (A) ═ u is provided 1,u 2,...,u nIs a competitive population set of fish population a, the competitive value of fish population a is defined as:
Figure FDA0002243095570000012
the competition value quantifies and reflects the comprehensive degree of interspecific competition between the fish population A and a competition population which has a competition relation with the fish population A and intraspecific competition inside the fish population A;
5) acquiring a fixed value as a pressure standard according to the competition value, and taking the fish population with the competition value exceeding the pressure standard as an overpressure fish population to be protected by taking protective measures;
6) defining overall competitive pressure to evaluate the overall competitive pressure of the coral reef fishes in the target sea area;
7) formulating a resource allocation strategy, and reasonably screening a range within the dependence standard of the fish population periphery with overhigh overall competition pressure to obtain the placement position of the artificial reef; the above process is iterative, and finally the overall competition pressure of the coral reef fishes in the whole target sea area is reduced.
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