CN112507533B - Method for constructing iris cuttlefish growth model based on marine environmental factors - Google Patents
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Abstract
The invention relates to the field of fishery, and discloses a construction method of an iris cuttlefish growth model based on marine environmental factors, which comprises the following steps: 1) Calculating the SST of each month operation sea area within a certain time span; 2) Calculating the growth speed v = ML/d of the iris cuttlefish at the time of primary maturation; 3) Performing typical correlation analysis on the sea area SST of each month operation, the maximal correlation month of the iris cuttlefish in the corresponding year and the corresponding sea area position; 4) Selecting SST and v with the maximum correlation months to perform generalized additive model analysis; log transformation is carried out on the growth speed of the iris tectorum, the iris tectorum accords with normal distribution, and GAM results are optimized by AIC; 5) And obtaining a relational expression of the SST and the v, and establishing a model. The model constructed by the method can be used for analyzing and mastering the individual growth rule of the iris tectorum under the influence of different marine environments, and provides reference for the subsequent sustainability development of the iris tectorum.
Description
Technical Field
The invention relates to the field of fishery, in particular to a construction method of an iris cuttlefish growth model based on marine environmental factors.
Background
Iris cuttlefish (Septemotis otalianiensis) belongs to Cephalopoda (Cepalopoda), piperales (Idiosepiida), carnoea (Ommastrephidae) and Iris (Septemotis), is mainly distributed in east and middle of Pacific ocean and north of American western of India, is a typical ocean warm water Cephalopoda, and has high growth speed exceeding most fishes; short life, typically one year; the sexual maturity is rapid, the fertility is strong, female iris cuttlefish can lay eggs all the year round, the peak period of sexual maturity is in winter, and the peak period of sexual maturity of male iris cuttlefish is mainly in summer; the iris cuttlefish has the characteristic of vertical migration, is positioned in middle and lower sea areas in daytime, floats upwards to prey at night, is predacious, mostly prey objects are small fishes, and crustaceans and copepods have the characteristic of cannibalism, and meanwhile are also preyed by tunas, seabirds, seals and the like, and are positioned at important positions in an ecological system. The iris cuttlefish resource is large in supplement amount and good in development prospect, the status of the iris cuttlefish resource gradually rises in the south China sea commercial fishing along with the decline of offshore resources in recent years, and the iris cuttlefish resource has high economic value.
The ocean is the main carrier for storing energy of a climate system, the environment is complex and changeable, according to the definition of the American national ocean and atmosphere administration, the sea surface temperature in the Nino 3.4 area is an Elnino event when the temperature is higher than 0.5 ℃ for 3 months continuously, a Lanino event is lower than 0.5 ℃ for 3 months continuously, the Annelo event is an uncommon Elnino year in 2015, and the SSTA in the whole year is higher than 0.5 ℃. SSTA is lower than 0.5 ℃ from 7 months to the end of year in 2016, is a Ranina event, is normal months before 10 years in 2017, has no Herniano event or Ranina event, and has severe marine environment change from 2015 to 2017. The iris cuttlefish is easily influenced by the change of marine environment due to its short life cycle and high growth speed.
At present, researchers have studied how individual biology and resource supplement quantity of iris tectorum are affected by marine environment, but research on how different marine environmental factors affect iris tectorum growth speed has not been reported.
Therefore, there is a need to analyze and master the individual growth rule of iris tectorum under the influence of different marine environments, and provide data for the subsequent sustainable development of iris tectorum.
Disclosure of Invention
In order to solve the technical problems, the invention provides a method for constructing an iris tectorum growth model based on a marine environmental factor, and the model constructed by the method can be used for analyzing and mastering the individual growth rule of iris tectorum under the influence of different marine environments, so as to provide a reference for the subsequent sustainability development of iris tectorum.
The specific technical scheme of the invention is as follows:
in a first aspect, the invention provides a method for constructing an iris sepiella growth model based on a marine environmental factor, which comprises the following steps:
1) And calculating sea surface temperature data, namely SST, of the sea area in each month of operation within a certain time span.
2) Calculating the growth speed of the iris cuttlefish at the initial maturity: v = ML/d; in the formula: ML is the first sexually mature squid carcass length in mm, d is the age in days.
3) Performing typical correlation analysis on the operation sea area SST and the maximum correlation month and the corresponding sea area position of the iris cuttlefish in the corresponding year in a certain time span.
4) Selecting SST, SSS, chl-a, LAT, LOG and v with the largest correlation months to perform generalized additive model analysis GAM: log (v) -s (SST) + s (SSS) + s (Chl a) + s (LAT) + s (LON).
In the formula: v is the growth rate of iris at initial maturation, SST is the sea surface temperature of the working sea area, SSS is the sea surface salinity of the working sea area, chl a is chlorophyll, LAT is latitude, and LON is longitude.
Log transformation is carried out on the growth speed of iris tectorum, the growth speed accords with normal distribution, GAM results are optimized through AIC, a GAM model with the minimum value of the AIC value is selected as a best fitting model, and the significance of each factor is evaluated through F test.
5) GAM judges the relation between each environmental factor and v, the most relevant month temperature in the most relevant sea area is used for carrying out relation model fitting, optimization is carried out through AIC, the relational expression of SST and v is finally obtained, and a model is established.
Preferably, the squid iris is male squid iris.
The research of the group of the invention discovers that the analysis of variance shows that the growth speed of the female and male iris inkfish has obvious difference between sexes (F =11.235, P =0.002 < 0.05), and the male iris inkfish is more reasonable to be selected as a research object in consideration of that the experimental result may be caused by muscle energy consumed by the female iris inkfish during spawning.
Preferably, in step 1), the certain time span is 2015-2017.
Preferably, in step 1), the working sea area is 15 ° 50'N to 18 ° 00' N,111 ° 50'E to 114 ° 00' E.
Preferably, in step 1), the resolution at SST is calculated to be 0.5 ° × 0.5 °
Preferably, in step 2), the primary sexual maturation refers to a sexual maturity of III.
Preferably, in the step 2), the carcass length of the iris cuttlefish is accurate to 1mm.
Preferably, in step 2), the method for detecting the age of day is: taking the otolith out of the iris tectorum head balancing capsule, putting the otolith into a centrifugal container containing alcohol, carrying out centrifugal treatment to remove impurities, embedding, slicing and grinding the otolith, reading the growth lines of the otolith through a microscope, counting by a plurality of experimenters respectively, and only keeping the result with the error of not more than 10 percent as the age in days.
In a second aspect, the invention provides a squid growth model based on marine environmental factors, wherein the model is v =0.0561SST-0.9428 2 ＝0.8513。
In a third aspect, the present invention provides a method for predicting the growth rate of iris: and substituting the SST into an iris sepia growth model based on the marine environmental factor to obtain the growth speed of the iris sepia.
Compared with the prior art, the invention has the beneficial effects that: the model constructed by the method can be used for analyzing and mastering the individual growth rule of the iris tectorum under the influence of different marine environments, and provides reference for subsequent sustainability development of the iris tectorum.
Drawings
FIG. 1 is a graph of GAM model analysis of the effect of sea surface temperature (a), latitude (b) and longitude (c) on growth rate of male Iris sepia individuals;
figure 2 is a linear SST relationship of iris cuttlefish growth rate with 112.75 ° E at 5 months, 16.25 ° N.
Detailed Description
The present invention will be further described with reference to the following examples.
General examples
A construction method of an iris cuttlefish growth model based on marine environmental factors comprises the following steps:
1) SST (sea surface temperature) data of sea area sea surface in operation of each month in a certain time span is calculated, and the resolution is 0.5 degrees multiplied by 0.5 degrees.
2) Calculating the growth speed of the male iris cuttlefish at the time of primary maturity (maturity is III): v = ML/d; in the formula: ML is the first sexually mature male iris squid carcass in mm (to the nearest 1 mm) and d is the age in days. The detection method of the age in days comprises the following steps: taking the otolith out of the iris tectorum head balancing capsule, putting the otolith into a centrifugal container containing alcohol, carrying out centrifugal treatment to remove impurities, embedding, slicing and grinding the otolith, reading the growth lines of the otolith through a microscope, counting by a plurality of experimenters respectively, and only keeping the result with the error of not more than 10 percent as the age in days.
3) Typical correlation analysis is carried out on the operation sea area SST of each month in a certain time span and the maximum correlation month and the corresponding sea area position of the male iris cuttlefish in the corresponding year.
4) Selecting SST and v with the maximum correlation months to perform generalized additive model analysis GAM: log (v) -s (SST) + s (SSS) + s (Chl a) + s (LAT) + s (LON).
In the formula: v is the growth rate of male iris sepiella at initial maturation, SST is the sea surface temperature of the working sea area, SSS is the sea surface salinity of the working sea area, chl a is chlorophyll, LAT is latitude, and LON is longitude.
Log transformation is carried out on the growth speed of the iris tectorum, the growth speed accords with normal distribution, GAM results are optimized through AIC, the GAM model with the minimum value of the AIC value is selected as the best fitting model, and the significance of all factors is evaluated through F test.
5) And obtaining a relational expression of the SST and the v, and establishing a model.
Example 1
(1) The investigation fishing boat is a light cover net fishing boat 'Qiongsan 72057' and 'Qiongsan 72068' belonging to Sanyufeng fishery company in Hainan province, and the two boats are of the same boat type: the total length is 33m, the model width is 6.2m, the total ton is 430t, the main engine power is 237kW, the auxiliary engine power is 163kW, the generator power is 200kW, and the average speed is 9kn. The sampling time is 2015, 2016 and 8 months in 2017, and the sea area is 15-degree 50-N-18-degree 00' N, 111-degree 50' E-114-degree 00' E.
(2.1) measuring the carcass length (ML) of the sample, wherein the carcass length is accurate to 1mm, and identifying the sex (sex) and the gonadal maturity (maturity stage) of the sample, wherein the gonadal maturity is divided into stages I-V, the stages I and II are sexual immature stages, the stages III, IV and V are sexual mature stages, and the related data are shown in the table 1.
TABLE 1 Iris sepiella sex, gonad maturity, carcass length
(2.2) taking the otolith out of the head balance sac of the iris cuttlefish, putting the otolith into a centrifugal tube filled with 95% alcohol to remove impurities, embedding, slicing and grinding the otolith, reading the growth lines of the otolith through a microscope, counting the growth lines respectively by two experimenters, and only keeping the result with the error of not more than 10% as the age in days. The relevant data are shown in table 2.
TABLE 2 day-old iris sepiella
(3) Seawater surface temperature data (SST) of the operating sea area in months 1-12 in 2015-2017 are calculated, the resolution is 0.5 degrees multiplied by 0.5 degrees, and the marine environment data comprise Sea Surface Temperature (SST), sea Surface Salinity (SSS), chlorophyll concentration (chloreyl-a, chl a), which are all derived from the U.S. NOAA global ocean observation database (http:// oceanwash. Pifsc. NOAA. Gov), time span 2015-2017 is calculated, and the time resolution is monthly. As the actual sampling fishing point may come in and go out with the environmental data, the average value of the four points with the nearest distance is selected as the environmental data of the point during actual calculation.
(4) Calculating seawater surface temperature data (SST) of the operating sea area in 1-12 months in 2015-2017, wherein the resolution is 0.5 degrees multiplied by 0.5 degrees; the relevant data are shown in tables 3-5.
TABLE 3 average temperature of fishing sites in 2015
TABLE 4 average temperature of 2016 harvested sites
TABLE 5 average temperature of catching sites in 2017
(5) Analysis of variance shows that the growth rates of male and female iris inkfish are significantly different among genders (F =11.235, P =0.002 < 0.05), and the male iris inkfish is selected as a research object considering that the experimental result may be wrong due to muscle energy consumption when the female iris inkfish spawns.
Calculating the growth speed of the male iris cuttlefish at the time of primary maturity: v = ML/d
In the formula: ML is the carcass length of the first sexual maturity (sexual maturity is III) of the squid iris, the unit is mm, and d is the age of day; the relevant data are shown in table 6.
TABLE 6 growth Rate of Primary mature Male Iris Sepiella
(6) Typical correlation analysis 2015-2017 includes operating sea areas at 0.5 degrees multiplied by 0.5 degrees SST at each month, corresponding years of maximum correlation months of male iris sepiella and corresponding sea area positions, and results show that the SST and v of 112.75 degrees E and 16.25 degrees N at 5 months have the highest correlation, and a non-standardized typical correlation coefficient is 27.051, so corresponding relational expressions are established by selecting the SST and v of 112.75 degrees E and 16.25 degrees N at 5 months. The relevant data are shown in tables 7-10.
TABLE 7 typical correlation of SST with v in different months
TABLE 8 SST and v non-normalized typical correlation coefficients
TABLE 9 typical correlation of fishing sites to v
TABLE 10 typical correlation coefficient between fishing sites and v non-normalized points
(7) Selecting a maximum correlation value month SST and the growth speed of iris sepiella to carry out generalized additive model analysis (GAM): log (v) -s (SST) + s (SSS) + s (Chl a) + s (LAT) + s (LON)
In the formula: v is the growth rate of male iris sepiella at initial maturation, SST is the sea surface temperature of the working sea area, SSS is the sea surface salinity of the working sea area, chl a is chlorophyll, LAT is latitude, and LON is longitude.
And (3) carrying out log transformation on the growth speed of the male individual, then conforming to normal distribution, optimizing the GAM result by using AIC, selecting the GAM model with the minimum value of the AIC value as a best fitting model, and evaluating the significance of each factor by using an F test.
GAM model shows that the growth rate of iris tectorum has obvious correlation with surface temperature, latitude and longitude of seawater, the total deviation interpretation rate is 94.7%, the AIC value is-348.988 2 =0.934; the relevant data are shown in table 11 and fig. 1.
TABLE 11 AIC values for SST, LAT, LON correlations
(8) The corresponding relation between the SST and v of 112.75 degrees E in 5 months and 16.25 degrees N is selected to establish the relation v =0.0561SST-0.9428 2 =0.8513; the relevant data are shown in table 12 and fig. 2.
TABLE 12 comparison of different models of AIC
The raw materials and equipment used in the invention are common raw materials and equipment in the field if not specified; the methods used in the present invention are conventional in the art unless otherwise specified.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and any simple modifications, alterations and equivalent changes made to the above embodiment according to the technical spirit of the present invention still belong to the protection scope of the technical solution of the present invention.
Claims (10)
1. A construction method of an iris cuttlefish growth model based on marine environmental factors is characterized by comprising the following steps:
1) Calculating sea surface temperature data (SST) of each month operation sea area within a certain time span;
2) Calculating the growth speed of the iris cuttlefish at the initial maturity: v = ML/d; in the formula: ML is the first sexual maturity of iris cuttlefish trunk length in mm, d is day age;
3) Performing typical correlation analysis on the operation sea area SST of each month and the maximum correlation month and the corresponding sea area position of the iris cuttlefish in the corresponding year within a certain time span;
4) Selecting SST and v with the maximum correlation months to carry out generalized additive model analysis GAM: log (v) -s (SST) + s (SSS) + s (Chl a) + s (LAT) + s (LON);
in the formula: v is the growth speed of the iris tectorum in the initial maturation, SST is the sea surface temperature of the operating sea area, SSS is the sea surface salinity of the operating sea area, chl a is chlorophyll, LAT is latitude, and LON is longitude;
log transformation is carried out on the growth speed of the iris tectorum, the growth speed accords with normal distribution, GAM results are optimized through AIC, a GAM model with the minimum value of AIC values is selected as a best fitting model, and the significance of each factor is evaluated through F test;
5) And obtaining a relational expression of the SST and v, and establishing a model.
2. The method of claim 1, wherein said iris inkfish is a male iris inkfish.
3. The construction method according to claim 1, wherein in step 1), the certain time span is 2015-2017.
4. The method according to claim 1 or 3, wherein in step 1), the working sea area is 15 ° 50 ° N to 18 ° 00.
5. The method of construction according to claim 1, wherein in step 1), the resolution at SST is calculated to be 0.5 ° x 0.5 °.
6. The method of claim 1, wherein in step 2), the primary maturation refers to a sexual maturity of iii.
7. The method of claim 1, wherein in step 2), the carcass length of iris sepiella is accurate to 1mm.
8. The construction method according to claim 1, wherein in step 2), the day-old detection method comprises the following steps: taking the otolith out of the iris tectorum head balancing sac, putting the otolith into a centrifugal container filled with alcohol for centrifugal treatment to remove impurities, embedding, slicing and grinding the otolith, reading the growth lines of the otolith through a microscope, counting the growth lines respectively by a plurality of experimenters, and only keeping the result with the error not more than 10 percent as the day age.
9. A marine environmental factor-based iris growth model constructed by the method of any one of claims 1 to 8, wherein v =0.0561SST-0.9428 r 2 =0.8513。
10. A method for predicting the growth rate of iris sepiella by using the model constructed by the method according to any one of claims 1 to 8 or the model according to claim 9, wherein the growth rate of iris sepiella is obtained by substituting SST into the model.
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| 基于耳石微结构的南海鸢乌贼日龄和生长研究;刘玉 等;《热带海洋学报》;20191130;第62-73页 * |
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