Sentence examples for fishing density from inspiring English sources

When we examined fishing density as a function of national socioeconomic variables, we found that, as expected, fishing density increased as a function of population size.

Looking among regions for each gear category, we identified areas of particularly high fishing density.

By quantifying fishing density and delimiting fishing grounds across gear types, our analysis highlights coastal areas where fishing pressures are high.

Our derived metric of fishing density, boat-meters/km2 is based on empirical data and provides a common measurement for national and regional fisheries assessments.

However, these variables accounted for very little of the variability in fishing density (df = 5, MS Model = 2.082, adj. r2 = 0.10).

Although the entire coastal zone mean density calculation (CMD) for some countries yielded lower fishing densities, we characterized these values as underestimates of fishing density.

For interregional comparisons of fishing densities, we log-transformed fishing densities and used one-way ANOVA to test for differences.

Length of coastline was also significantly related to fishing densities, i.e., countries with longer coastlines typically had lower fishing densities across that area.

Data limitations also precluded any formal consideration of temporal variability in fishing densities.

Conversely, countries with a Low HDI classification were found to have the highest fishing densities in our study.

Using the results generated by FEET, we calculated average fishing densities for each country under two different scenarios of fishing effort distribution.