A significant trend in stock productivity was determined if the 95% confidence interval of the regression slope did not contain zero. 2.2.2 Latent Trend Identification The primary, underlying patterns (latent trends) in stock productivity were detected by Dynamic Factor Analysis (DFA) with the R package ‘MARSS’ (Holmes et al. 2024 ).
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Overall, the stock productivity estimates—in some cases going as far back as to the 1950s—tended to decrease in the Northern Hemisphere (i.e., positive loadings on a decreasing trend) while they increased in the Southern Hemisphere (i.e., positive loadings on an increasing trend) (Figure 5 , Supplementary texts).