Data from: Comparing impacts of two restoration approaches on wild bee assemblages and their habitats in a coastal sandy ecosystem
Data files
Jun 09, 2026 version files 63.37 KB
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Bee_species_life_history_traits.csv
7.02 KB
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Flower_composition.csv
23.01 KB
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Plot_data.csv
29.68 KB
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README.md
3.67 KB
Sep 17, 2026 version files 63.36 KB
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Bee_species_life_history_traits.csv
7.01 KB
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Flower_composition.csv
23.01 KB
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Plot_data.csv
29.68 KB
-
README.md
3.67 KB
Abstract
This dataset originates from a five-year study examining the effects of passive and active habitat restoration on wild bee communities in a Mediterranean coastal dune ecosystem. The study was conducted in a replicated design consisting of five blocks, each containing four habitat types: native shrubland (Natural), Eucalyptus forest, passive regeneration following Eucalyptus removal (Regeneration), and active restoration following Eucalyptus removal (Restoration). The presented data were collected during one to three sampling rounds per year throughout the main bee activity season (February–April). In each plot, wild bees were sampled using complementary netting and pan-trapping methods. Honeybee foraging density was assessed separately through standardized counts. Flowering plant species composition and abundance, as well as the relative cover of nesting substrates, were recorded during each sampling round using 15 hoops (1 m diameter) per plot. Within each hoop, the percent cover of each substrate type was visually estimated and averaged to obtain plot-level values. The identity and abundance of flowering plant species were recorded and summed to plot-level values. The abundance of the most frequently visited flower species or species groups (each accounting for >1% of total recorded bee visits) was also calculated at the plot level. Weather variables, including air temperature (°C), wind velocity (m s⁻¹), and solar radiation (lux), were measured twice daily in each plot and averaged to obtain plot-level values. Data on bee functional composition and flowering plant composition are provided for the Peak Spring sampling round, the only survey period that was conducted consistently across all study years.
The dataset captures early successional dynamics following restoration interventions and enables comparisons among natural, planted forest, passively regenerated, and actively restored habitats. Both management approaches, increased the availability and diversity of floral and nesting resources and supported higher wild bee abundance than Eucalyptus stands. Regenerated habitats more closely resembled natural habitats in resource availability, while restored habitats supported the highest bee abundance by the fifth year. Taxonomic and functional composition of bee assemblages in managed habitats remained distinct from natural habitats, indicating ongoing ecological succession. These data provide a resource for studying pollinator responses to restoration and succession in Mediterranean dune ecosystems.
Dataset DOI: 10.5061/dryad.zkh1893s2
Description of the data and file structure
Data was collected for five consecutive years (2016-2020). A total of one to three sampling rounds annually, during the peak season of bee activity (February-April). In each round, blocks were sampled in random order (one block per day). Successive rounds were at least seven days apart.
Files and variables
File: Plot_data.csv
Description: This dataset summarizes the plot-level data collected between 2015 and 2020.
Variables
- Year: 2016-2020
- Round: "Winter", "Early Spring", "Peak Spring"
- Block: Block number (1-5)
- plot: plot number (1-20)
- Habitat: Habitat name
- Bee Abundance: Plot-level wild bees abundance
- Bee richness: Plot-level wild bee species richness
- Herbaceous plants (%): Ground cover
- Woody plants (%): Ground cover
- Dry herbaceous plants (%): Ground cover
- Dry woody material (%): Ground cover
- Bare soil (%): Ground cover
- Leaves on the ground (%): Ground cover
- Shannon-Weaver index for ground cover:
- Snail shells: "NA" stands for missing values
- Radiation (lux): Microclimate conditions. A plot-level daily average of two measurements (AM and PM)
- Temperature (C): Microclimate conditions. A plot-level daily average of two measurements (AM and PM)
- Wind velocity (m/s): Microclimate conditions. A plot-level daily average of two measurements (AM and PM)
- Apis mellifera: Honey bee abundance
- flower richness: Plot-level flower species richness
- Flower abundance: P-Plot-level flower abundance
- Crepis aculeata: Plot-level flower abundance
- Retama raetam: Plot-level flower abundance
- yellow Asteraceae: Plot level flower abundance
- Fabaceae: Plot-level flower abundance
- Euphorbiaceae: Plot-level flower abundance
- Apiaceae: Plot-level flower abundance
- Lamiaceae: Plot-level flower abundance
- Boraginaceae: Plot-level flower abundance
File: Flower_composition.csv
Description: This dataset summarizes the plot-level data of flowering plant composition for the Peak Spring sampling round, the only survey period that was conducted consistently across all study years.
Variables
- Year: 2016-2020
- Block: Block number (1-5)
- Habitat: Habitat name
- Round: "Peak Spring"
File: Bee_species_life_history_traits.csv
Description: This dataset summarizes bee species life history data for bee species collected during the Peak Spring sampling rounds, the only survey period that was conducted consistently across all study years
Variables
- Bee species: Species name
- Nesting guild: "Above ground nester", "Ground nesters"; "NA" stands for "Not Applicable".
- Lecty: Diet breadth-degree of pollen diet specialization. "Polylege"-generalist (two or more plant families); "Oligolege"-specialist (single plant family). "NA" stands for "Not Applicable".
- Sociality: "Solitary", "primitively eusocial", "Cleptoparasite".
- Female body size (mm): A measurement of female body length
- Body size category(<8.5<): We set median body length as 8.5 mm, and classified species as below-median (small), or equal to and above-median (large)
- Source: Personal data: data collected during the research
- Source: Taxonomist data: personal communication with taxonomists.
- Source: Literature: data from the scientific literature
Code/software
Data are provided as CSV files and can be read by any software that supports the comma-separated values format.
Changes after Jun 9, 2026: The file was updated to correct symbols that were altered during the conversion from Excel to CSV format.
