Data from: Urbanisation and agricultural intensification modulate plant-pollinator network structure and robustness
Data files
Jan 02, 2024 version files 966.80 KB
-
Habitat_areas.csv
-
Landscape_analysis.R
-
masterfile_insects_v2.0.csv
-
Masterfile_networkmetrics.csv
-
Metadata_Habitat_areas.xlsx
-
Metadata_masterfile_insects_v2.0.xlsx
-
Metadata_Masterfile_networkmetrics.xlsx
-
Metadata_specieslevel_pollinators.xlsx
-
Networklevel_models.R
-
pollinator_dependence.csv
-
README.md
-
SCM_function.R
-
Specieslevel_models.R
-
specieslevel_pollinators.csv
Abstract
Land use change is a major pressure on pollinator abundance, diversity, and plant-pollinator interactions. Far less is known about how land use alters the structure of plant-pollinator networks and their robustness to plant-pollinator coextinctions.
We analyzed the structure of plant-pollinator networks sampled in 12 landscapes along an urbanisation and agricultural intensity gradient, from early spring to late summer 2021, and used a stochastic coextinction model to correlate plant-pollinator coextinction risk with network structure (species and network-level metrics) and landscape context.
Networks in intensively managed (i.e. agricultural and urban) landscapes had a lower risk of initiating a coextinction cascade, while networks in less-intensively managed landscapes may be less robust. Network structure modulated the frequency and severity of coextinctions and species loss, while the strength of species interactions increased robustness.
Urban networks were more species-rich and symmetrical due to the high diversity of ornamental plants, while intensively managed agricultural landscapes had smaller, more tightly connected, and nested networks.
Network structure modulated the frequency of extinctions, which was decreased by greater linkage density, interaction asymmetry, and interaction dependence in the networks, while once an extinction occurred, nestedness and linkage density propagated the degree of the coextinction cascade and species loss. At the species level, species strength was inversely correlated with extinction risk, implying that generalist species with a high number of interactions with specialists had the lowest extinction risk.
README: Urbanisation and agricultural intensification modulate plant-pollinator network structure and robustness
https://doi.org/10.5061/dryad.msbcc2g51
We analysed plant-pollinator networks in 12 landscapes along a rural-urban-agricultural gradient during three times of the year and looked how network structure affected robustness against coextinctions by running a Stochastic Coextinction Model (SCM). We analysed both the network level and the individual species level (i.e. species chance of coextinction depending on network position). The dataset does not contain any threatened species, and specimen data is given with a 500 m precision.
Description of the data and file structure
This dataset contains the data including raw landscape, plant-pollinator network and network analysis data
on which the paper was based. It also holds the R-script containing all data-analyses.
Contains following files:
Habitat areas.csv: EUNIS land cover of selected sites at 1 km radius
Masterfile insects v2.0.csv: File with all plant-pollinator interactions observed on the transect
Masterfile networkmetrics.csv: File with all plant-pollinator network metrics per site, per sampling period
pollinator dependence.csv: File with interaction dependence scores for plants and pollinators
specieslevel pollinators.csv: species-level traits from all plant-pollinator networks
Each of these files has got an additional .xlsx file with more specific metadata
Furthermore, there are following R scripts:
Landscape analysis.R: Was used for the PCA-analysis of the landscape composition
SCM function.R: The Stochastic Coextinction Model function described in the paper
Networklevel models.R: Statistical analysis of network structure in relation to network robustness and landscape composition
Specieslevel models.R: Statistical analysis of species-level traits on coextinction chance
Sharing/Access information
This dataset is provided under a CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
Code/Software
The data was analysed in R. See above for a further explanation on the different scripts used.
Methods
The dataset describes plant-pollinator networks in 12 landscapes in Bourgogne (eastern France), collected in three different seasons. Per sampling site and sampling period, all pollinators on flowers were caught on a 1 km transect with 2 hours of catching time. The landscape was 1 km in radius and landscape metrics were calculated based on this distance. Pollinators were caught within the inner 500 m radius of this landscape. Network metrics were calculated using the bipartite package in R. Z-score standardization was done using 10,000 random networks created by the vaznull function in bipartite.
A Stochastic Coextinction Model (SCM) was run on the data to test network robustness. The R code for this is given. For further details, we refer to the metadata files.