Data from: Soil and ground-dwelling arthropod diversity on green roofs: Functional groups are strongly influenced by substrate depth and plant community
Data files
Oct 31, 2025 version files 45.41 KB
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Datasets-green_roof_arthropods.xlsx
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README.md
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Abstract
Green roofs are a nature-based solution with the potential to support urban arthropod biodiversity. However, evidence remains inconclusive, as many roof characteristics and arthropod groups are still understudied. We used a multi-taxa and functional trait approach focused on soil and ground-dwelling arthropod communities to assess how green roof features related to structure and design, plant community, management, and surrounding landscape influence the species richness and abundance of arthropods (overall and of groups defined by vertical distribution, body size, mobility, and feeding habits). We sampled arthropods (N=7155, 244 species) using pitfall traps in 20 green roofs from central Argentina, and recorded green roof characteristics (i.e., size, age, height, substrate depth and composition, plant species richness and composition, irrigation, and landscape green cover). Substrate depth was the most important structural variable, being positively linked to the species richness of euedaphic and hemiedaphic arthropods and other groups. Additionally, substrates containing plant litter and sand benefited detritivores. Plant composition influenced the richness and abundance of herbivores and parasitoids, probably due to the presence of specific resources. Irrigation increased total abundance and richness of hemiedaphics and small arthropods, although total richness was unaffected. Landscape green cover was positively related to parasitoid and small-sized arthropod abundance, highlighting the role of green spaces as sources of individuals. Our findings demonstrate that green roofs can support diverse communities of soil and ground-dwelling arthropods with varied functional traits, offering practical insights for designing biodiverse green roofs and conserving species within urban ecosystems.
Dataset DOI: 10.5061/dryad.dz08kps9s
Description of the data and file structure
Files and variables
File: Datasets-green roof arthropods.xlsx
Description: The dataset includes multiple sheets with all the data used in the article. The metadata sheet includes detailed instructions for reading and interpreting the remaining tables. The raw data sheet includes all the local and landscape variables used in the analyses, as well as the species richness and abundance of all arthropod groups. A list of the collected plant species is provided in the Plant species sheet. The sheet Arthropod species includes all the identified arthropod species, along with their classification into functional groups.
Files and variables
File: Datasets-green_roof_arthropods.xlsx
Description:
Variables
- siteID: Id of the study site
- trap: Number of pitfall trap in each green roof
- region: Study region (vp: Paravachasca Valley; sc: Sierras Chicas; cp: Córdoba city)
- age: Age of the green roof (in months)
- depth: Substrate depth (in centimeters)
- height: Green roof maximum height (in meters)
- area: Green roof size (in square meters)
- plant_richness: Number of plant species recorded on the green roof
- green_cover: Percentage of green cover in the landscape
- PCA1: Axis 1 of the Principal Component Analysis of plant composition
- PCA2: Axis 2 of the Principal Component Analysis of plant composition
- irrigation: Presence (yes) or absence (no) of irrigation on the green roof
- substrate: Substrate type (black_soil: black soil; sand: black soil and sand; vermiculite: black soil and vermiculite; plant_litter: substrate with plant litter added)
- ab_tot: Total arthropod abundance
- ri_tot: Total arthropod richness
- ab_large: Abundance of large arthropods
- ri_large: Richness of large arthropods
- ab_med: Abundance of medium-sized arthropods
- ri_med: Richness of medium-sized arthropods
- ab_small: Abundance of small arthropods
- ri_small: Richness of small arthropods
- ab_high: Abundance of arthropods with high mobility
- ri_high: Richness of arthropods with high mobility
- ab_low: Abundance of arthropods with low mobility
- ri_low: Richness of arthropods with low mobility
- ab_int: Abundance of arthropods with intermediate mobility
- ri_int: Richness of arthropods with intermediate mobility
- ab_epi: Abundance of epiedaphic arthropods
- ri_epi: Richness of epiedaphic arthropods
- ab_eu: Abundance of euedaphic arthropods
- ri_eu: Richness of euedaphic arthropods
- ab_hem: Abundance of hemiedaphic arthropods
- riq_hem: Richness of hemiedaphic arthropods
- ab_det: Abundance of detritivore arthropods
- ri_det: Richness of detritivore arthropods
- ab_herb: Abundance of herbivore arthropods
- ri_herb: Richness of herbivore arthropods
- ab_pre: Abundance of predatory arthropods
- ri_pre: Richness of predatory arthropods
- ab_par: Abundance of parasitoid arthropods
- ri_par: Richness of parasitoid arthropods
- ab_omn: Abundance of omnivore arthropods
- ri_omn: Richness of omnivore arthropods
Code/software
Code/software
No specific software or code is needed to view the data used in the article.
Study area
The study was performed in Córdoba, central Argentina, where 20 green roofs were selected. Five roofs were located in the Paravachasca Valley, eight in the region of Sierras Chicas, and seven in the city of Córdoba (Fig. S1). The green roofs of the Paravachasca Valley and Sierras Chicas corresponded mostly to family homes following bioconstruction techniques. In the city of Córdoba, however, green roofs belonged to family homes and commercial buildings to better represent the green roofs in the city (Suarez et al., 2016).
Green roof and landscape variables
Structural and design variables were measured on each roof or obtained through interviews with the roof owners. For green roof plant community variables, we sampled all the plant species on each roof for 15 minutes, collecting specimens that were later herbarized at the laboratory. Plant species were identified following the criteria of the Darwinian Botanic Institute (Zuloaga & Morrone, 2017), and the species richness for each roof was calculated. In addition to species richness, we also considered plant species composition as an explanatory variable of arthropod communities. Therefore, we performed a Principal Component Analysis (PCA; Hotelling, 1933) on plant communities (see Statistical analyses). Finally, to measure the surrounding landscape in terms of green cover, we calculated the percentage of vegetated areas in circular buffers of 600 m radius, a scale that influenced urban arthropods in previous studies (e.g., MacIvor, 2016). Sentinel images of 10 m resolution (bands 4 and 5; acquired on March 14, 2017) were used to calculate the Normalized Differential Vegetation Index (NDVI), which was then used to estimate the percentage of green cover (Purevdorj et al., 1998). Table 1 summarizes local and landscape-level characteristics registered along the 20 green roofs.
Soil and ground-dwelling arthropod sampling and identification
Sampling took place during February and March of 2017, at the end of the summer, a period in which high arthropod activity is recorded and accumulated rainfall favors a higher plant cover on the roofs. On each green roof, soil and ground-dwelling arthropods were sampled using three pitfall traps (100 ml plastic cups, 5.5 cm high and 7.5 cm diameter) filled with 50 ml of 20% ethylene glycol as a preservative. Pitfall traps are widely used in studies comparing arthropod communities, especially for passively collecting soil and ground-dwelling species (Southwood, 1978). Traps were buried at the ground level and separated by at least four meters to cover the entire area of the green roofs. After seven days, the content of each trap was filtered and stored in labeled plastic recipients with 70% ethanol. Samples were taken to the laboratory and preserved for further analysis.
Arthropod identification was performed using dichotomous keys for orders and families. Individuals were then classified at the morphospecies level (hereafter, species), which is widely supported as a measure of species richness when large numbers of individuals are collected and in regions where taxonomic knowledge is limited (Obrist & Duelli, 2010). On the other hand, four functional traits were evaluated for each species: vertical distribution, body size, mobility, and feeding habit. Vertical distribution was related to the position of arthropods in the soil profile, where species are classified into euedaphic, hemiedaphic, or epiedaphic (see above). Regarding body size, the body length of each species was measured using a stereoscope with a measuring eyepiece, and species were classified as small (less than 2.5 mm), medium (2.5 to 6 mm), or large (more than 6mm), following similar criteria to previous studies (e.g., Schweiger et al., 2005). Mobility was categorized into high (species with well-developed functional wings), intermediate (soil and dwelling species with relatively large dispersal ability), and low (soil and dwelling species with limited dispersal). Finally, for feeding habits, arthropods were classified into herbivores, predators, parasitoids, omnivores, and detritivores by considering the dominant family habits (or a more detailed taxonomic category in cases of families with multiple feeding habits). For groups with varying feeding habits across life stages, the stage with the most relevant habit from a functional point of view was considered (e.g., gnats from the family Sciaridae were considered detritivores due to the habits of their larvae). The assignment of species to functional groups was based on specific literature for insects (Triplehorn et al., 2005), springtails, and mites (Bokhorst et al., 2012; Momo & Falco, 2009; Önen & Koç, 2011; Potapov et al., 2020).
