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In 55 76% of the scenarios run with directional change in phytoplankton biomass across fishing strategies and ecosystem models, indicators were significantly more responsive to changes in fishing than to changes in phytoplankton biomass.
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In all models, indicator variables that reflect land use were found to be consistent in their relative magnitudes.
By excluding the two incident cases reported above the model indicators were further estimated (Tables 4 and 5).
All exogenous parameters in the model (indicators) were set to optimum values (HI = 1) and the impact of each individual parameter within all groups (water quality, floral and faunal) was assessed from the lowest to the highest extremes.
However, we are not advocating our particular model, indicators, or thresholds.
Also shown are the coefficients of the association between the model indicators and covariates.
In the one-factor model, indicators of cognitive and motor development were assumed to represent one factor.
In a multiple regression model, indicators of perceived stress, perceived health and experience of serious life events were included.
Therefore, due to these data gaps, we recommend that resource managers examine individual values for model indicators and not rely completely on overall scores.
A zero η3 to y6 effect would causally disconnected y6 from all the other model indicators in Figure 2, and hence y6 would display zero covariance with all those indicators.
When all model indicators were combined as equally weighed parts of the DSS model, the overall score for the parks' watersheds was 0.43 (based on the −1 to 1 fuzzy logic scale) (Table 2).
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