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Comparative Study Of Habitat Suitability Index Models Of Saury(Cololabis Saira)

Posted on:2021-01-28Degree:MasterType:Thesis
Country:ChinaCandidate:C X ShiFull Text:PDF
GTID:2393330611461675Subject:Fisheries
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The Northwest Pacific High Seas fishing ground is one of China's important offshore fishing grounds.In recent years,our saury fishing industry has developed rapidly.At present,the number of fishing boats and labors that companies put into use when catching saury will be affected by different environmental factors,resulting in certain fluctuations in production.In order to increase the production of saury in the Pacific Northwest of China,we need to further study the impact of habitat environmental factors on the saury fishing ground.China's fishing grounds for saury in the Northwest Pacific Ocean are mainly distributed in the seas outside the 200-nautical-mile exclusive economic zone of Japan and Russia,with latitudes ranging from 37 ° N-49 ° N and longitudes ranging from 144 ° E-168 ° E.The purpose of this study is to verify the Habitat Suitability Index(HSI)model by comparison and select a more suitable Habitat Suitability Index model from the normal function model,skew function model and exponential polynomial model,as Contribute to predicting the distribution of saury fishing grounds.The fishery data for saury in the Northwest Pacific Ocean used in this article is from May to November from 2014 to 2017.Environmental data includes sea surface temperature(SST),sea surface height(SSH)and sea surface temperature gradient(SSTG),with a spatial resolution of 1 ° × 1 °,the time resolution is month.1.Analysis of variance of production data and environmental data found that the total output-sea surface temperature gradient,fishing days-sea surface height,fishing dayssea surface temperature gradient p value are all less than 0.01,indicating that the relationship between the above is extremely significant There is a related relationship,but the p value of total production-sea surface temperature,total production-sea surface high,fishing days-high sea surface temperature is greater than 0.05,so there is no correlation between the above relationships.By conducting an analysis of variance on environmental data and production data,it is verified whether there is a correlation between the two,which provides a basis for building a habitat index model.2.According to the model results,it is found that the skewed distribution geometric average method of total fishing output has the highest accuracy rate of 44.52%.The HSI value of each month of 2017 is calculated based on the skew function geometric average method of total production,combined with Matlab to do The total output and HSI are superimposed on the base map.Finally,the most suitable ranges of SST,SSH,and SSTG are: 12.86-16.31 ?,0.19-0.36 cm,0.019-0.042 ? / km,the actual environmental data of fishing grounds SST,SSH,SSTG are 13-17 ?,-0.05-0.2cm,0.02-0.04 ? / km,the actual environment interval is not very different from the fitting result,and it is consistent with the research conclusions of the existing literature.3,and the results of the remaining habitat suitability index models show that there is a correlation between production data and environmental data(p <0.05).Through verification,the relationship between the habitat suitability index model(HSI)in this paper Forecasts of saury fishing conditions can be made.
Keywords/Search Tags:saury, northwest Pacific Ocean, habitat suitability index model, model comparison
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