Urbanisation and agricultural intensification modulate plant-pollinator network structure and robustness

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 sym..., 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., , # Urbanisation and agricultural intensification modulate plant-pollinator network structure and robustness

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-pollina...