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Data · dataset · 2026

Strip management of wildflower strips promotes beneficial arthropods in the late season via enhanced floral resources

Listed in Teesside University Research Data Repository

Wildflower strips are among the most widely employed agri-environmental schemes to support beneficial arthropods and enhance biodiversity in agricultural landscapes.

Description

However, despite the need for active vegetation management to maintain high flower abundance and stable arthropod populations, evidence on different management techniques is limited. Here, we assessed the impact of three management schemes (whole-strip mulching, strip mulching, and strip mowing) on the species richness, abundance, and community composition of six beneficial arthropod taxa (three pollinator groups and three predator groups).

In a 2-year manipulative experiment with 24-m-wide wildflower strips, we sampled multi-taxa arthropod communities using complementary sampling methods in the early, mid, and late seasons and quantified floral abundance and vegetation height. Overall, we found that strip management of wildflower strips was associated with higher late-season richness and abundance of most taxa than full mulching. These benefits were mostly linked to enhanced floral resources, whereas spiders were associated with vegetation height.

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Strip mulching and strip mowing yielded similar values of richness and abundance throughout the season, suggesting that mulching may not have negative effects on the studied taxa. These results have clear implications for wildflower strip management schemes, as maintaining high floral availability in perennial flower strips is essential for sustaining arthropod populations across time. As many farmers prefer mulching for practical reasons, given that it is a simpler process and biomass from wildflower strips is often of limited value as fodder, we recommend mulching only under strip management to maintain refugia during management events.

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Inferred from text
Ecological applications 71%
Provenance · 1 source records, 11 field assertions
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