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MODELING DISTRIBUTION OF SAURY CATCHES IN RELATION WITH ENVIRONMENTAL FACTORS
- Source :
- Известия ТИНРО, Vol 199, Iss 4, Pp 193-213 (2019)
- Publication Year :
- 2019
- Publisher :
- Transactions of the Pacific Research Institute of Fisheries and Oceanography, 2019.
-
Abstract
- Pacific saury Cololabis saira is widely distributed in the North Pacific, with commercial harvesting in the area between 140–172о E. Relationship of its commercial catches distribution with environmental factors is investigated using the daily SST data, the daily data set of multivariate ocean variational estimation system (MOVE) produced by Meteorological Research Institute (Japan) for the area between 140–159о E (about 95 % of all catches and 100 % of the Russian catches of saury were landed in this area in 1994–2017), and the daily set of saury catches position with 1 km resolution collected by the Russian vessel monitoring system. Spatial resolution for all data sets is upscaled to the resolution of MOVE system (0.1 x 0.1 degree). Contribution and permutation importance for the catch distribution are estimated for 184 possible combinations of SST and MOVE products with the lags of 0–7 days and moving average window from 0 to 7 days using the method of maximum entropy (MaxEnt). For synchronic relationships, the best results are found for SST, water temperature at 50 m depth and its spatial gradient, moreover, SST provides high contribution with the lag up to 2 days and the temperature at 50 m and its gradient — with the lag 3–7 days. The same sets of environmental parameters are used for the catches distribution modeling with GAMs and Random Forest techniques; the latter method shows better accuracy and other indices of the confusion matrix. Year-to-year changes of the total area with predicted conditions favorable for the saury fishery within the EEZ of Russia and Japan correlate strongly (r = 0.96, p < 0.05) with the total annual catch of saury, in particular for the extreme years (high catches in 2008, 2014, and 2018, low catch in 2017).
- Subjects :
- Multivariate statistics
north pacific
010504 meteorology & atmospheric sciences
Lag
SH1-691
01 natural sciences
Degree (temperature)
Vessel monitoring system
generalized additive model (gam)
Moving average
Pacific saury
Aquaculture. Fisheries. Angling
pacific saury
catch
sdm software (species distribution modeling)
0105 earth and related environmental sciences
random forest technique
Cololabis
sea surface temperature (sst)
biology
04 agricultural and veterinary sciences
biology.organism_classification
Saury
method of maximum entropy (maxent)
Climatology
040102 fisheries
0401 agriculture, forestry, and fisheries
Environmental science
Subjects
Details
- Language :
- Russian
- ISSN :
- 26585510 and 16069919
- Volume :
- 199
- Issue :
- 4
- Database :
- OpenAIRE
- Journal :
- Известия ТИНРО
- Accession number :
- edsair.doi.dedup.....d2db6f087017208de212040568175c3f