Influence of climate, weather and floral associations on pollinator community composition across an elevational gradient
Data files
Oct 02, 2024 version files 1.28 MB
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clim.data.xlsx
473.61 KB
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network.data.xlsx
796.48 KB
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README.md
5.44 KB
Abstract
Insect pollinators, which are ectothermic, are especially sensitive to abiotic conditions, which often drive predictable patterns of pollinator species turnover along environmental gradients. However, pollinator activity is also reliant on suitable biotic conditions, such as the presence of host plants. High-elevation environments provide a useful setting to examine the relative contribution of abiotic and biotic factors in shaping species interactions as they are often characterised by strong environmental gradients over short geographic distances. Here, we examined pollination interaction networks across an elevational gradient from 930-2000m a.s.l. in southern Australia, to determine the underlying patterns of pollinator activity and their interactions with flowers. The interaction frequency of Diptera increased at high elevations, while the interaction frequency of Hymenoptera and Coleoptera decreased. We provide evidence that this elevational pattern of activity is partly driven by floral associations, with interactions dominated by Hymenoptera-attracting plant families at lower elevations (Proteaceae, Fabaceae) and a Diptera-attracting family at high elevations (Asteraceae). Pollinator activity was also influenced by weather conditions, with reduced activity for all three orders at lower temperatures, and Diptera active across the broadest range of temperature, humidity, and wind conditions. We suggest that changes across elevation gradients in pollinator community composition are driven by both direct responses to abiotic conditions such as temperature, as well as the elevational distribution patterns of associated flowering plants. Despite these distinct shifts in the composition of the pollinator assemblage with elevation, the pollination network structure was stable across the elevational gradient, with moderate levels of specialisation and low levels of connectance and nestedness present across the gradient. By considering both abiotic conditions and biotic processes, our results provide insight for predicting the impacts of upslope vegetation shifts on pollinator communities in the face of climate change.
README: Influence of Climate, Weather and Floral Associations on Pollinator Community Composition Across an Elevational Gradient
Authors: Joshua M. Coates*, Maldwyn J. Evans, Ben C. Scheele, Jaime Florez Fernandez, James Lumbers, Saul A. Cunningham
*Collected all data. Corresponding author: coates.jc@hotmail.com
Related manuscript to be published in Oikos, 2024: https://doi.org/10.1111/oik.10688
Files and variables
This folder contains two files: "clim.data.xlsx" and "network.data.xlsx"
clim.data.xlsx is the data used in regression and hypervolume analysis. Each row is an individual observation of a single plant/pollinator interaction, with associated climate/weather predictors and metadata. Columns contain predictors used in our modeling (wind, temperature, humidity, flower richness, elevation, date, time), as well as taxonomic information for plants and insects and metadata columns (ObjectID, Unique Sequence ID, CreationDate, Sample number). Insect taxonomic information in this file is only accurate to the Order level, whereas insect information in network.data.xlsx is accurate to the morpho/species level.
The data is structured as follows:
Type | Values | Column name | Explanation |
---|---|---|---|
numeric | 1 to 5133 | Unique Sequence ID | Metadata column for the purposes of sorting/ordering |
numeric | 0 to 2348 | Object ID | Metadata column from Survey123 submission |
text | plant taxa | Plant Species | Plant species for plant/pollinator observation |
text | plant taxa | Plant Family | Plant family for plant/pollinator observation |
numeric | 1 to 243 | Sample number | Sample number of 30 min plant/pollinator samples |
text | insect taxa | Initial ID | Initial Field ID of insects, to be later confirmed with voucher |
text | insect taxa | Insect order | Taxonomic order of insect (Diptera, Hymenoptera, Coleoptera etc.) |
numeric | 0 to 23.34 | Wind | Wind speed (km/h) during observation period |
numeric | 25 to 27.85 | Temperature | Temperature (Degrees C) during observation period |
text | 1000m to 2000m | Elevation | Elevation (m a.s.l.) of observation |
date | 22/10/21 to 26/02/22 | CreationDate | Combined date and time of observation |
date | 22/10/21 to 26/02/22 | Date | Date of observation, with time removed |
time | 9:06am to 5:21 pm | Time | Time of observation, with date removed |
network.data.xlsx contains many of the same properties as clim.data.xls, however it also includes insect data at a finer taxonomic resolution (Initial ID, Confirmed ID, Insect Order, Insect Family). The spreadsheet includes a tab with data from all sites, as well as tabs with data separated into each site individually. This spreadsheet was used in bipartite network analysis.
The data is structured as follows:
Type | Values | Column name | Explanation |
---|---|---|---|
numeric | 0 to 2348 | Object ID | Metadata column from Survey123 submission |
text | plant taxa | Plant Species | Plant species for plant/pollinator observation |
text | plant taxa | Plant Family | Plant family for plant/pollinator observation |
numeric | 1 to 243 | Sample number | Sample number of 30 min plant/pollinator samples |
numeric | 0 to 23.34 | Wind | Wind speed (km/h) during observation period |
numeric | 25 to 27.85 | Temperature | Temperature (Degrees C) during observation period |
text | 1000m to 2000m | Elevation | Elevation (m a.s.l.) of observation |
date | 22/10/21 to 26/02/22 | CreationDate | Combined date and time of observation |
date | 22/10/21 to 26/02/22 | Date | Date of observation, with time removed |
time | 9:06am to 5:21 pm | Time | Unformatted time of observation, with date removed |
text | insect taxa | Initial ID | Initial Field ID of insects, to be later confirmed by voucher |
text | insect taxa | Confirmed ID | Confirmed morpho/species ID of insects, as confirmed by voucher |
text | insect taxa | Insect order | Taxonomic order of insect (Diptera, Hymenoptera, Coleoptera etc.) |
text | insect taxa | Insect family | Taxonomic family of insect |
Methods
Please see the associated publication for full methods: https://doi.org/10.1111/oik.10688