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| Application of GLM and GAM for Studying Relationship between Environmental Factors and Resource Density for Mantis Shrimp Oratosquilla oratoria in Bohai Bay |
| XU Hailong1,2, LIU Zhuoying1, WANG Rui3, XUE Wei1, MA Ting1, GU Dexian4 |
1. Tianjin Key Laboratory of Aqua-Ecology and Aquaculture, Tianjin 300384, China;
2. National Demonstration Center for Experimental Aqua-Ecology and Aquaculture Education, Tianjin Agriculture University, Tianjin 300384, China;
3. Third Institute of Oceanography, Ministry of National Resource, Xiamen 361005, China;
4. Tianjin Fishery Institute, Tianjin 300171, China |
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Abstract Mantis shrimp Oratosquilla oratoria is an important fishery resources in the Bohai Bay. Understanding of the distribution of mantis shrimp, based on the relationship between environmental factors and resource density, is useful for the future research in assessment and management for mantis shrimp. Therefore, the relationship between resource density and environment factors was established based on generalized linear model (GLM) and generalized additive model (GAM). Data including resource density (abundance and biomass) of mantis shrimp and environment conditions of fishing ground were surveyed in Tianjin Bohai Bay from 2014 to 2015, which environment factors included longitude (LON), latitude (LAT), sea surface temperature (SST), sea surface salinity (SSS), chlorophyll a (Chla) concentration, dissolved oxygen (DO) concentration, pH and depth. The results showed that based on the GLM model, the primary factors affecting the abundance of mantis shrimp were DO, LON×Depth, Depth and SST, and the principle factors affecting the biomass of mantis shrimp were pH, LAT and LON×LAT in descending order of effect when the combined effects of factors were considered. The GAM results indicated that the ranges of deviances explained of every environment factor for abundance and biomass of mantis shrimp were varied from 35.12% to 64.35% and from 37.18% to 67.94%, respectively. And the deviances explained the combined effects GAMs between environment factors and abundance as well as biomass equal to 99.957% and 99.911%, respectively.
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Received: 15 June 2020
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