CN111080143A - Behavior pattern-based wild animal individual viability evaluation technology - Google Patents

Behavior pattern-based wild animal individual viability evaluation technology Download PDF

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Publication number
CN111080143A
CN111080143A CN201911321176.6A CN201911321176A CN111080143A CN 111080143 A CN111080143 A CN 111080143A CN 201911321176 A CN201911321176 A CN 201911321176A CN 111080143 A CN111080143 A CN 111080143A
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viability
individual
wild
wild animal
wild animals
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吴庆明
李浙
朱井丽
孙雪莹
沙力瓦·拍依祖拉木
邓文攸
邹红菲
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Northeast Forestry University
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Northeast Forestry University
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Abstract

A technology for evaluating the individual viability of wild animals based on behavior patterns belongs to the field of the behavioral science of wild animals. The method solves the difficult problems that data in the wild animal individual viability aspect are difficult to obtain, the wild animal individual viability capability is difficult to evaluate, and further scientific management is difficult to make. The evaluation technology comprises the steps of standard model construction, assessment object viability behavioural data acquisition, assessment object viability measurement and calculation and assessment object viability analysis. The invention is used for evaluating the viability of any type of wild animal.

Description

Behavior pattern-based wild animal individual viability evaluation technology
Technical Field
The invention relates to a technology for evaluating the individual viability of wild animals based on behavior patterns, and belongs to the field of the ethology of wild animals.
Background
Population viability is a tool for evaluating whether a wild animal species population can survive persistently or on a survival time scale, and is a broad concept. The viability in the patent only refers to the daily viability of wild animal individuals, is more fundamental detail and is the behavior pattern expression of population viability individual level.
It is well known that individual viability in wild animals is expressed by behavioral patterns; in turn, behavioral patterns can reflect the viability of individual wildlife. Based on the consideration, if the individual behavioral data of the wild animals in the wild animal model production area or a certain approved area is used as the construction standard of the behavior model, the behavior ability, namely the viability of the wild animals in the non-wilderness can be judged according to the individual behavioral data. If the hypothesis is established, the behavior patterns of the wild animal individuals artificially intervened in the ex-situ protected area or the in-situ protected area can be evaluated to judge the field survival ability of the wild animal individuals, so that the wild animal individuals artificially intervened can be scientifically managed in a targeted mode, and the wild animal individuals artificially rejuvenated can be artificially rejuvenated.
The method is used for evaluating the viability of the individual to be evaluated based on the constructed behavior standard model and the behavioral data of the object to be evaluated. The invention can provide a reference model for evaluating the viability of wild animal individuals, and provides technical support for scientific management of the wild animal individuals, so that the refined and scientific management of the related wild animal individuals can be reasonably and attentively followed.
SUMMARY OF THE PATENT FOR INVENTION
The invention aims to provide a technology for evaluating the individual viability of wild animals based on behavior patterns, which is used for promoting the establishment of a more scientific wild animal resource management and maintenance system and the implementation of more precise wild animal management and maintenance actions in the existing natural conservation method taking the wild animal individuals as main protection objects and provides technical support for natural restoration and population rejuvenation of the wild animal individuals.
The patent evaluation technology comprises the steps of standard model construction, behavior data acquisition of the viability of an object to be evaluated, viability measurement and calculation of the object to be evaluated, and viability analysis of the object to be evaluated.
The technical evaluation scheme adopted by the invention patent is as follows.
First, the place of study where the model for evaluation is to be constructed is determined by the place of origin of the wild animal model or a recognized region.
Secondly, wild animal individuals are screened in the screened research area as data source individuals of the standard model.
And then, performing behavioural data collection on the screened individual, and modeling the screened individual to be used as a standard model for evaluating the individual viability of the wild animal to be evaluated.
Subsequently, the individual wild animals in the region to be evaluated are subjected to behavioural data collection.
And then, calculating the Viability (Viability, V) of the object to be evaluated according to the collected individual behavioral data of the wild animal to be evaluated.
And then, analyzing the viability of the object to be evaluated by combining with a standard model for evaluating the viability of the wild animal individual.
Finally, for the evaluated individual viability (V) results of the wild animals, four results were divided based on the constructed standard model for individual viability evaluation of wild animals: strong, good, moderate, weak or none viability.
The standard model data source required by the evaluation technology of the invention is easy to collect, and various methods can be used: most commonly, reference is made to published results of scientific research by predecessors; field behavioral data collection can also be performed; field data collection may also be performed on the basis of historical data.
The standard model constructed by the evaluation technology of the invention can be different according to the species of the wild animals, and the same wild animal individual can also have differences due to factors such as distribution area, sex, larval age, season, life history period and the like.
The evaluation technology of the invention adopts behavioral observation and big data mathematical modeling. The technical layer has the advantages of easy data collection, huge sample size and high evaluation precision, is a model for evaluating the individual viability of wild animals, is easy to accept, approve and operate, and is suitable for vertebrates of mammalia, avians, amphibia, reptiles, fishes and the like.
The evaluation technology of the invention is suitable for all the protected areas which take wild animals as main protected objects in China, and all the protected areas can evaluate the viability of the wild animal individuals in the area, so that the wild animal individuals in the area can be classified and managed. The invention realizes the individual layered management and guidance-oriented scientific mode of the wild animals in a classified mode from the perspective of large data mathematical modeling such as a standard model, reference evaluation and the like, and realizes the simplified operation of the individual viability analysis of the wild animals. The evaluation technology can provide a very powerful theoretical reference for scientific management of wild animal individuals in the protected area in China.
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FIG. 1 is a technical process for evaluating the individual viability of wild animals based on behavior patterns.
Detailed Description
The evaluation technology of the individual viability of the wild animals based on the behavioral patterns comprises the steps of constructing a standard model (1), acquiring behavioural data of the viability of an object to be evaluated (2), measuring and calculating the viability of the object to be evaluated (3) and analyzing the viability of the object to be evaluated (4).
The behavioural data acquisition (2) of the viability of the object to be evaluated is a data source for measuring and calculating the viability of the object to be evaluated (3).
And the measurement and calculation (3) of the viability of the object to be evaluated is a specific basis for the in-depth analysis (4) of the viability of the object to be evaluated.
The standard model (1) is a theoretical reference basis for measuring and calculating the viability of the object to be evaluated (3) and analyzing the viability of the object to be evaluated (4). The Viability (V) of the model is between [0, 1], and includes various categories, the classification value is influenced by many factors, and is divided into four categories as a whole: if the viability V value is between [ V1, 1.00], defining that the viability of the wild animal individual is strong; if the viability V value is between [ V2, V1), the viability of the wild animal individual is defined to be good; if the viability V value is between [ V3, V2), defining that the viability of the wild animal individual is moderate; if the viability V value is between [0, V3), the individual wild animal is defined as having weak or no viability.

Claims (1)

1. A technology for evaluating the individual viability of wild animals based on behavior patterns is characterized in that: evaluating the individual viability of wild animals by a series of operations of big data mathematical modeling based on the constructed standard model and the behavioral data of the object to be evaluated, wherein the evaluation technology comprises the following steps:
(1) screening of a standard model data source producing area and screening of a data source wild animal individual in the source producing area.
(2) And (3) performing behavioural data collection based on the wild animal individuals determined in the step (1).
(3) Constructing a standard model for evaluating the individual viability of the wild animals based on the behavioral data in the step (2).
(4) And collecting the ethological data of the wild animal to be evaluated.
(5) And (4) carrying out individual viability calculation on the individual ethological data of the wild animals to be evaluated in the step (4) based on the standard model for individual viability evaluation of the wild animals constructed in the step (2).
(6) And (4) continuously combining the standard model for evaluating the individual Viability of the wild animals constructed in the step (2) to perform individual Viability analysis (V) of the wild animals to be evaluated based on the measured result of the individual Viability of the wild animals measured in the step (5). The results of the individual viability analysis of wild animals are in four categories: if the viability V value is between [ V1, 1.00], defining that the viability of the wild animal individual is strong; if the viability V value is between [ V2, V1), the viability of the wild animal individual is defined to be good; if the viability V value is between [ V3, V2), defining that the viability of the wild animal individual is moderate; if the viability V value is between [0, V3), the individual wild animal is defined as having weak or no viability.
CN201911321176.6A 2019-12-20 2019-12-20 Behavior pattern-based wild animal individual viability evaluation technology Pending CN111080143A (en)

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Application Number Priority Date Filing Date Title
CN201911321176.6A CN111080143A (en) 2019-12-20 2019-12-20 Behavior pattern-based wild animal individual viability evaluation technology

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113207743A (en) * 2021-04-08 2021-08-06 长江水资源保护科学研究所 Method for testing influence of noise on behavior of wild animals at certain distance from sound source

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113207743A (en) * 2021-04-08 2021-08-06 长江水资源保护科学研究所 Method for testing influence of noise on behavior of wild animals at certain distance from sound source
CN113207743B (en) * 2021-04-08 2024-06-11 长江水资源保护科学研究所 Test method for influence of noise on behavior of wild animals at certain distance from sound source

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