2020
DOI: 10.1016/j.fishres.2020.105563
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Spatial analyses of the influence of autocorrelation on seasonal diet composition of a marine fish species

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Cited by 5 publications
(2 citation statements)
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“…In this regard, the value of a variable of interest in each region ( i ) is associated with the value of the same variable in the neighboring regions ( j ) . We first used Moran’s I to check for spatial autocorrelation ( 41 , 42 ). Then, we developed both ordinary least squares and spatial regression models to assess the equity impact of transit accessibility.…”
Section: Methodsmentioning
confidence: 99%
“…In this regard, the value of a variable of interest in each region ( i ) is associated with the value of the same variable in the neighboring regions ( j ) . We first used Moran’s I to check for spatial autocorrelation ( 41 , 42 ). Then, we developed both ordinary least squares and spatial regression models to assess the equity impact of transit accessibility.…”
Section: Methodsmentioning
confidence: 99%
“…However, under the high fishing pressure of the early 2000s, particularly since 2003, the landing continued to decrease until 2009 (Figure 1), and anchovy spawning stock biomass (SSB) in the Yellow Sea during the early 2000s declined significantly from 1.3 × 10 6 tons to 0.2 × 10 6 tons, as estimated through acoustic methods [15,18,19]. There is also a phenomenon of catch composition characterized by miniaturization, early sexual maturity, and decreasing catch per unit effort (CPUE) [16,20,21]. In recent years, the anchovy landings gradually increased until 2015, followed by a subsequent decrease.…”
Section: Introductionmentioning
confidence: 99%