Data from: Do you reap what you sow? Temporal dynamics of insect-relevant floral characteristics of flower strip mixtures
Data files
Apr 06, 2026 version files 318.80 KB
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Raw_Data_Blümel_et_al._2026.xlsx
317.09 KB
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README.md
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Abstract
The implementation of flower strips in agroecosystems is an effective measure to counteract the loss of biodiversity and enhance ecosystem services. Although beneficial effects for their main target group, flower-visiting insects, are assumed to be mediated by plant species composition and its associated floral characteristics, such as species richness and floral trait diversity, comprehensive studies investigating the establishment success and maintenance of different flower strip mixtures over time are rare. Therefore, we studied the performance of four different flower strip mixtures (two annual and two perennial) regarding their potential benefits in supporting flower visitors by evaluating spatio-temporal dynamics of plant community composition and six insect-relevant floral characteristics in a field experiment at three distinct study sites over three consecutive years. Moreover, we examined the impact of weed invasion on flower strips and how realized mixture performance under field conditions deviates from expected mixture performance. We found that both perennial flower strip mixtures undergo a significant community shift due to compositional changes in sown plant species after the year of sowing, strongly affecting mixture performance over time. The mixture with the highest initially sown species richness (51) outperformed all other mixtures after the year of sowing, regarding taxonomic (species richness and Shannon diversity) as well as functional floral characteristics (functional diversity and redundancy). Furthermore, deviation from expected mixture performance in both annual mixtures was largely explained by weed invasion, whereas in perennial mixtures, deviation was mainly caused by community changes in sown plant species (e.g. disproportional dominance of single species). We argue that perennial mixtures with a high number of native plant species provide a greater quantity of floral resources with more diverse niches for flower-visiting insects, with a greater resilience and temporal persistence than annual and less diverse mixtures.
Dataset DOI: 10.5061/dryad.d51c5b0j8
Description of the data and file structure
In this study, we examined the establishment success and performance of four different flower strip mixtures (treatments; Column E) and their respective sown plant species (Column H-BY) as well as spontaneously occurring plant species (BZ-CM) over 3 years (Column A). In order to achieve a high temporal resolution and to capture flowering peaks of each plant species, all plots were surveyed nine times per year (2020-2022; Column A), with ten days between consecutive sampling rounds (Column B and C). Flower cover was assessed by walkover surveys of the entire 252 m² plot, visually estimating the percentage cover (%) of open flowers of each species in relation to the total plot area (Column H-CM). All surveys were conducted by the same observer between 7:00 and 14:00, rotating among all three locations (Column D). Different treatments were arranged in a randomized plot design with each treatment replicated three to four times (Column F).
This table: Raw_Data_Blümel_et_al._2026.xlsx includes all raw data used in the publication of Blümel et al. (2026). Each row contains the numeric flower/vegetation cover in % (Column H-CM) of plant species in each plot (Column G) in the respective sampling year (Column A). Each plot of the respective sampling year can be identified by a unique description that comprises year, sampling round, location, treatment, and replicate number (e.g., 2020_1_Cambisol_ANNUAL_11_1; plot_ID in Column G).
