Published September 8, 2023 | Version v1

Data from: Alternative measures of trait-niche relationships: a test on dispersal traits in saproxylic beetles (Ecology and Evolution)

  • 1. Norwegian University of Life Sciences
  • 2. Swedish Species Information Centre, Swedish University of Agricultural Sciences
  • 3. Natural Resources Institute Finland (Luke)

Description

Data from: Alternative measures of trait-niche relationships: a test on dispersal traits in saproxylic beetles (Ecology and Evolution)

DATA DOI: https://doi.org/10.5281/zenodo.8322080

Associated article DOI: https://doi.org/10.1002/ece3.10588

Ryan C. Burner, Jorg Stephan, Juha Siitonen, Tord Snall, et al. 2023

ryan.c.burner@gmail.com

This data release contains data files needed to run the Hmsc models described in the associated publication. It is a subset of the complete beetle capture and environmental covariate dataset maintained by Juha Siitonen (see associated manuscript for references to prior publications). It contains the following four files:

1) Species_detections.csv

This site_year x species table has detection/non-detection (1/0) values for each species at each site_year. Beetles were trapped at about 142 sites in Finland forests. Includes only beetle species (n = 212) which are considered saproxylic and which were detected at >=5 sites in the dataset, and for which trait information was available. Species names are as originally identified in the source dataset (see early publications by Juha Siitonen). Row names ('Row_ID'), which consist of [site]_[year], correspond to 'Row_ID' in the 'Site_covariates.csv' file. Species (column) names correspond to species row naes in 'Species_traits.csv'

2) Site_covariates.csv

This table has one row for each 'Row_ID' (n = 142) corresponding to rows in 'Species_data.csv'. Covariate columns have been scaled and centered for modeling. Columns are as follows:

rowID - [site]_[year] of sampling
Year - year of sampling
Site - site name/number
climID - unique ID for each grid cell from which climate data were extracted
lat_WGS84 - latitude (WGS84)
lon_WGS84 - longitude (WGS84)
VD10 - scaled and centered total pooled volume of local standing and fallen dead trees (originally in m3/ha, before scaling) with a minimum diameter of 10 cm, estimated using transects
agedomin - scaled and centered mean age of the five oldest trees in the stand
OldFor_1km - scaled and centered volume of living wood in those forests older than 100 years within a one km radius around each site
MeanTemp - scaled and centered mean temperature during the trapping period, from mean of all ERA5 hourly estimates of 2m temperature (see manuscript for details)
TotalPrecip - scaled and centered total precipitation during the trapping period, from ERA5 summed across all hourly estimates of total precipitation (see manuscript for details)
globRad_WHm2 - scaled and centered total solar radiation during the trapping period, summed across all daily values, based on site slope and aspect, calculated using GIS (see manuscript for details). Units were Wh/m2 prior to scaling and centering.
log_Nr_traps - scaled and centered log-transformed number of traps used at each capture site 


3) Species_traits.csv

Trait data, based on trait values in Hagge et al. (2021 - see manuscript for full reference), for beetle species included in model (see species data information, above). In some cases traits are from synonyms used in Hagge that differ from taxonomy of this dataset. Traits have been scaled and centered. Row names are species names that match columns in 'Species_detections.csv'. Columns as follows:

wing_length - scaled and centered (log(wing length divided by body length))
wing_load - scaled and centered (log(mass / wing area / body length))
wing_aspect - scaled and centered (log(wing aspect ratio)


4) Phylotree.csv

A phylogenetic tree for the species in this dataset, written in the Newick (also known as New Hampshire) format. The tree is based on the species-level insect tree in Chesters et al. (2017) (see manuscript for full citation) but has missing species added randomly to the correct genus (when present) or family or (occassionally) order.

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Phylotree.csv

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Additional details

Related works

Is referenced by
Journal article: 10.1002/ece3.10588 (DOI)