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Fig 1.

Overview of the study workflow.

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Fig 2.

Deviations in ecological status class (ESC) estimates obtained from presence/absence data using ASTERICS for 13,312 samples from 30 German stream types (y-axis, numbers in parentheses = data points).

Green indicates the proportion of ESCs that remained identical, yellow indicates those that differed by ±1 and orange indicates those that differed by ±2 ESCs. Deviations in the negative (worse) direction are shown on the left and deviations towards a more positive assessment (better) are shown on the right side.

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Table 1.

Deviation between presence/absence and abundance data for different assessment metrics.

The diagonal displays the numbers of sampling sites for which the results did not differ between the two data types.

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Fig 3.

Deviations in general degradation module (GDM) results calculated from presence/absence data using ASTERICS for 13,295 samples from 30 German stream types (y-axis, numbers in parentheses = data points).

Green indicates assessment values that remained identical, yellow indicates those that differed by ±1 and orange indicates those that differed by ±2 classes. Deviations in the negative (worse) direction are shown on the left and deviations towards a more positive assessment (better) are shown on the right side.

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Fig 4.

Deviations in organic pollution module results calculated with presence/absence data using ASTERICS for 13,312 samples from 30 different German stream types (y-axis, numbers in parentheses = data points).

Green indicates assessment values that remained identical, yellow indicates values that differed by ±1 and orange indicates value that differed by ±2 classes. Deviations in the negative (worse) direction are shown on the left and deviations towards a more positive assessment (better) are shown on the right side.

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Fig 4 Expand

Fig 5.

Regression analysis of presence/absence (y-axis) and abundance-based data (x-axis) for two metrics of the general degradation module: A) German fauna index, B) EPT[%].

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Fig 5 Expand

Fig 6.

Regression analysis of presence/absence (y-axis) and abundance-based data (x-axis) for the German saprobic index (organic pollution module, OPM).

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