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Statistical modelling of sea lice count data from salmon farms in the Faroe Islands
被引:8
|作者:
Gislason, H.
[1
,2
]
机构:
[1] Univ Faroe Islands, Fac Sci & Technol, Noatun 3, FO-100 Torshavn, Faroe Islands
[2] Fiskaaling Aquaculture Res Stn Faroes, Vio Air 11, FO-430 Hvalvik, Faroe Islands
关键词:
lagged correlations;
sea-lice development;
statistical modelling;
LEPEOPHTHEIRUS-SALMONIS;
ATLANTIC SALMON;
SALAR L;
EPIDEMIOLOGIC PATTERNS;
POPULATION-DYNAMICS;
D O I:
10.1111/jfd.12742
中图分类号:
S9 [水产、渔业];
学科分类号:
0908 ;
摘要:
Fiskaaling regularly counts the number of sea lice in the attached development stages (chalimus, mobiles and adult) for the salmon farms in the Faroe Islands. A statistical model of the data is developed. In the model, the sea-lice infection is represented by the chalimus (or mobile) lice developing into adult lice and is used to simulate past and current levels of adult lice-including treatments-as well as to predict the adult sea lice level 1-2 months into the future. Time series of the chalimus and adult lice show cross-correlations that shift in time and grow in size with temperature. This implies in situ the temperature-dependent development times of about 56 down to 42 days and the inverted development times (growth rates) of 0.018 up to 0.024 lice/day at 8-10 degrees C. The temperature dependence D(T) = alpha(1)(T + alpha(2))(alpha 3) = 17, 840(T + 7.439)(-2.128) is approximated by D-1(T) = 105.2 - 6.578T approximate to 49 days at the mean temperature 8.5 degrees C-similar to D-cha(T) = 100.6 - 6.507T approximate to 45 days from EWOS data. The observed development times at four sites for a year (2010-11) were 49, 50, 51 and 52 days, respectively. Finally, we estimate the sea lice production from fish farms to discuss approaches to control the sea lice epidemics-preferably by natural means. This study is useful for understanding sea lice levels and treatments, and for in situ analysis of the sea-lice development times and growth rates.
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页码:973 / 993
页数:21
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