Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

< Back to Article

Table 1.

The total number of observations across Sweden for each of the 13 taxonomic groups studied for the period 2000–14, the number of species in each taxonomic group, and the number of observations contributed by the 1st recorder and the 20th recorder (ranked by number of observations contributed).

More »

Table 1 Expand

Fig 1.

Logged number of observations over Sweden and ignorance maps for the period 2000–2014.

Logged number of observations over Sweden for the period 2000–2014 (where grey = no observations) and ignorance maps produced with the half-ignorance algorithm (O0.5 = 1) for three taxonomic groups with widely varying numbers of records; Amphibia (N = 26,794), Odonata (N = 100,367), Papilionoidea (N = 505,881) and birds (N = 22,331,191). Grid resolution is 10 x 10 km. The black contour shows a 10 km buffer around Sweden’s land surface. The inset shows the location of Sweden in Europe.

More »

Fig 1 Expand

Fig 2.

Maps of the geographic variables used to explain ignorance.

The geographic variables used to explain ignorace (elevation, slope, road density, path density, population density and log population density) in Sweden at the 10 km grid cell resolution.

More »

Fig 2 Expand

Fig 3.

The percent deviance explained (R2) when each geographic variable was modelled independently against ignorance score.

The percent deviance explained (R2) when each geographic variable was modelled independently against ignorance score at varying levels of O0.5 (shading indicates the gradient from O0.5 = 1 at the darkest, through 2, 5, 10, 20 to 50 at the lightest). R2 was calculated for the best fit model in each case (either linear or quadratic depending on Δ deviance; Tables A and B in S1 File). Note that the range of y-axes varies (a maximum of either 20 or 80) to accommodate the large variation amongst taxa in R2 values obtained.

More »

Fig 3 Expand

Fig 4.

The relationship between ignorance score and environmental variables.

The relationship between ignorance score and six environmental variables: elevation, slope, road density, path density, population density and log population density, for each taxonomic group studied when O0.5 = 1. Solid line indicates quadratic relationship, while dashed line indicates that only a linear relationship improved the model fit compared to the null model (only best models are drawn).

More »

Fig 4 Expand