How does the Insect Calculator work?
14.04.2025
by Johanna Berger
What data is the insect calculator based on?
The current version of the calculator is based on eight data sets that were aggregated from different published and unpublished studies. All studies used suction sampling as a method, whereas arthropods are sucked from one square meter using a modified leaf blower. Studies were only selected if they contained enough information about mowing. For the current version, we used data of the following projects and studies:
However, the idea of the insect calculator is that new data could always be implemented. If you would like to contribute data, please get in touch with us!
How are the meadow inhabitants calculated?
To create the models, we used all the parameters that can be found as buttons in “Expert mode” as fixed effects: mowed (yes/no), mower type, mowing height, mowing width, number of cuts, meadow size, coordinates, day of the year (date) and proportion of sealed area (isolation). We ran a model with abundance as the response variable for each arthropod order. The glmmTMB package in R was used to run the negative binomial models (1). The “walk mode” is similar, but without the variables “mowing width” and “mowing height”. Finally, to simplify the “walk mode” even further, we have defined default settings for the examples of 4 different meadow types. This allows users who are not familiar with the subject to use the calculator initially without any knowledge of the mower type, for example.
Consequently, we extracted coefficients of the model outputs to calculate the predictions manually in a simple linear function (prediction = a+ b*x + c*x...) with the values entered by the calculator. We used this approach to be able to work together with a company that helped creating this website. As for them it was more difficult to implement R, we found the most parsimonious way to simply provide a prediction function and providing a csv file that contains all model estimates.
Based on the extensive species level data of our project BioDivKultur and of the Biodiversity Exploratories, we additionally predicted the richness per arthropod order based on the abundance. Here, we used a nonlinear model (nls) to take into account a saturation of the number of species.
Parameters for the model of the Insect Calculator
|
Parameter |
Description and unit |
Median |
Min |
Max |
|
|
|
Mown |
Was the meadow previously mown or not? yes: 1077, no: 609 |
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Mower |
Mower type: Bar mower (n=112), eco mower (62), lawn mower (n=26), motor scythe with string or knife (n=12), mulcher (n=354), rotary mower (n=1061) and sickle mower (n=39). |
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Width |
Mowing width in m |
4.87 |
0.1 |
10 |
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Height |
Mowing height in cm |
7.3 |
4 |
20 |
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Cuts |
Number of cuts/year |
2 |
0 |
25 |
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Date |
Day of the year (between 11th May and 3rd September, Median: 6th July) |
187 |
128 |
265 |
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Meadow size |
Size of the sampled meadow in ha |
1.27 |
0.0005 |
130 |
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Isolation |
Impervious surfaces: Settlements and transportation areas in % 50 m buffer around the meadow |
0.041 |
0 |
0.976 |
|
|
Longitude |
Longitude coordinates |
8.675 |
6.186 |
14.03 |
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Latitude |
Latitude coordinates |
48.73 |
46.38 |
53.15 |
- Mollie E. Brooks, Kasper Kristensen, Koen J. van Benthem, Arni Magnusson, Casper W. Berg, Anders Nielsen, Hans J. Skaug, Martin Maechler and Benjamin M. Bolker (2017). glmmTMB Balances Speed and Flexibility Among Packages for Zero-inflated Generalized Linear Mixed Modeling. The R Journal, 9(2), 378-400. doi: 10.32614/RJ-2017-066.
- R Core Team (2023). _R: A Language and Environment for Statistical Computing_. R Foundation for Statistical Computing, Vienna, Austria. <R Core Team (2023). _R: A Language and Environment for Statistical Computing_. R Foundation for Statistical Computing, Vienna, Austria. .>.








