Pan trap and plant-flower visitor observation data for: Multi-species crop mixtures increase insect biodiversity in an intercropping experiment
- 1. Leibniz Institute for the Analysis of Biodiversity Change*
- 2. University of Münster
Description
- Recent biodiversity declines require action across sectors such as agriculture. The situation is particularly acute for arthropods, a species-rich taxon providing important ecosystem services. To counteract negative consequences of agricultural intensification, creating a less hostile agricultural "matrix" through growing crop mixtures can reduce harm for arthropods without yield losses.
- While grassland biodiversity experiments showed positive plant biodiversity effects on arthropods, experiments manipulating crop diversity and agrochemical input use to study arthropods are lacking.
- Here, we experimentally manipulated crop diversity (1–3 species, fallows), crop species (wheat, faba bean, linseed, oilseed rape) and agrochemical input (high vs. low) and studied responses of arthropod biodiversity. We tested if arthropod responses were affected by crop diversity, mixtures and management. Additionally, we measured crop biomass.
- Crop biomass increased with crop diversity under high-input mangement, while under low management intensity, biomass was highest in two-species mixtures.
- Increasing crop diversity positively affected arthropod abundance and diversity, both under low- and high-input management. Crop mixtures containing faba bean, linseed or oilseed rape had particularly high arthropod diversity.
- Mass-flowering crops attracted more arthropods than legumes or cereals. Integrating intercropping into agricultural systems could increase flower visits by insects up to 15 million per hectare, thus likely also supporting pollination and pest-control ecosystem services.
- Flower-visitor network complexity increased in mixtures containing linseed and faba bean, and under low-input management.
- Intercropping can counteract insect declines in farmland by creating beneficial matrix habitat without compromising crop yield.
Notes
All statistical analyses were done using the open-source software "R". For convenience, an editor such as RStudio can be used (but this is not necessary).
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Funding provided by: European Commission
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100000780
Award Number: 727284
Files
Basedata_plot_level.txt
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