Analysis of habitat characteristics of small pelagic fish based on generalized additive models in Kepulauan Seribu Waters

2nd International Symposium on Marine and Fisheries Research

地球科学;农业科学

Rivai, A.A.^1 ; Siregar, V.P.^2 ; Agus, S.B.^2 ; Yasuma, H.^3

Department of Marine Technology, Graduate School of Bogor, Agricultural University, Indonesia^1

Faculty of Fisheries and Marine Science, Department of Marine Science and Technology, Bogor Agricultural University, Indonesia^2

Faculty of Fisheries Sciences, Hokkaido University, Japan^3

关键词: Fish species;    Fishing ground;    Generalized additive model;    LANDSAT;    Sea surface height;    Small pelagic fish;    Sustainable fishery;    Total suspended solids;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/139/1/012014/pdf
DOI  :  10.1088/1755-1315/139/1/012014

学科分类：农业科学（综合）

来源: IOP

【 摘 要 】

One of the required information for sustainable fisheries management is about the habitat characteristics of a fish species. This information can be used to map the distribution of fish and map the potential fishing ground. This study aimed to analyze the habitat characteristics of small pelagic fishes (anchovy, squid, sardine and scads) which were mainly caught by lift net in Kepulauan Seribu waters. Research on habitat characteristics had been widely done, but the use of total suspended solid (TSS) parameters in this analysis is still lacking. TSS parameter which was extracted from Landsat 8 along with five other oceanographic parameters, CPUE data and location of fishing ground data from lift net fisheries in Kepulauan Seribu were included in this analysis. This analysis used Generalized Additive Models (GAMs) to evaluate the relationship between CPUE and oceanographic parameters. The results of the analysis showed that each fish species had different habitat characteristics. TSS and sea surface height had a great influence on the value of CPUE from each species. All the oceanographic parameters affected the CPUE of each species. This study demonstrated the effective use of GAMs to identify the essential habitat of a fish species.