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Data from: Landscape diversity and local temperature, but not climate, affect arthropod predation among habitat types

Citation

Fricke, Ute et al. (2022), Data from: Landscape diversity and local temperature, but not climate, affect arthropod predation among habitat types, Dryad, Dataset, https://doi.org/10.5061/dryad.f1vhhmh04

Abstract

Arthropod predators are relevant for top-down regulation of insect herbivores. Biotic and abiotic factors influence predator communities and their activity with consequences for the strength of top-down regulation (‘arthropod predation’). Anthropogenic climate and land-use change urges a deeper understanding of the combined effects of potential drivers on arthropod predation. This study obtained arthropod predation rates on 113 plots of open herbaceous vegetation adjacent to different habitat types (forest, grassland, arable field, settlement) along climate and land-use gradients in Bavaria, Germany, using a standardized method of artificial caterpillars at ground level. Predation rates were analysed with regard to habitat characteristics (habitat type, plant species richness, local mean temperature and mean relative humidity during artificial caterpillar exposure), landscape diversity (0.5–3.0-km, six scales), climate (multi-annual mean temperature, ‘MAT’) and interactive effects of habitat type with other drivers. Arthropod predation rates did not substantially differ between the studied habitat types, related to plant species richness and across the Bavarian-wide climatic temperature gradient, and also no interactive effects were observed. However, arthropod predation rates were limited by low local mean temperatures, tended to decrease towards higher relative humidity and increased towards more diverse landscapes at a 2-km scale. Thus, high arthropod predation rates in open herbaceous vegetation are favoured by diverse landscapes independent of the dominant habitat in the vicinity. Diversifying landscapes may help to improve top-down control of herbivores, e.g. agricultural pests, but more research is needed to derive specific recommendations on landscape management. Little influence of MAT on predation rates suggests that moderate increases of MAT may not strongly alter this process in the near future.

Methods

Twenty artificial caterpillars made from green plasticine (diameter 3 mm, length 20 mm) were placed at ground level on open herbaceous vegetation for a 2-d period. Arthropod attack marks on caterpillars were assessed in the field, and those caterpillars brought to the lab were double-checked (raw data). From the number of assessed caterpillars with and without arthropod attack marks, arthropod predation rates were calculated and data aquired in deviation from the protocol were excluded (processed data). For details see 'Fricke et al predation data processing' in the usage notes and address the related manuscript.

Usage Notes

Fricke et al predation data processing (.R file)

This R-script contains all code needed to process data in preparation for data analysis.

Fricke_et_al_predation_data_processing.R

Fricke et al predation data analysis (.R file)

This R-script contains the code used to analyse arthropod predation rates including generalized linear mixed effect models and multimodel averaging

Fricke_et_al_predation_data_analysis.R

Fricke et al predation data processing

Raw data on attack marks per individual artificial caterpillar were processed and standardized using the accompanying R-script on data processing to achieve processed data on arthropod predation rates per plot as used in the accompanying R-script on data analysis.

Fricke_et_al_predation_data_raw.csv

Metadata_Fricke_et_al_predation_data_raw.txt

Fricke_et_al_predation_data_processed.csv

Metadata_Fricke_et_al_predation_data_processed.txt

Fricke et al landscape diversity data

This dataframe contains the landscape variable ‘landscape diversity’ at multiple spatial scales as used in the accompanying R-script on data analysis.

Fricke_et_al_landscape_diversity_data.csv

Metadata_ Fricke_et_al_landscape_diversity_data.txt

Funding

Bayerisches Staatsministerium für Wissenschaft, Forschung und Kunst