From Australian Oceans Data Network
JSON RDF ISO19115-3 XML

Code and data for: The effect of seabird presence and seasonality on ground-active spider communities across temperate islands

Created 13/03/2025

Updated 13/03/2025

JSON RDF ISO19115-3 XML

We investigated the effects of seabird presence and seasonality on ground-active spider community structure (activity-density, family-level richness, age class and sex structure) and composition at the family-level across five short-tailed shearwater breeding islands around south-eastern Tasmania, Australia. Using 75 pitfall traps (15 per island), spiders were collected inside, near and outside seabird colonies on each island, at five different stages of the short-tailed shearwater breeding cycle over a year. 3. Pitfall traps were deployed for a total of 2,674 days, capturing 1,592 spiders from 26 families with Linyphiidae and Lycosidae the most common.

Files and APIs

Tags

Additional Info

Field Value
Title Code and data for: The effect of seabird presence and seasonality on ground-active spider communities across temperate islands
Language eng
Licence notspecified
Landing Page https://devweb.dga.links.com.au/data/dataset/8b0e0147-4406-430e-8d9b-7ce6a30957c9
Contact Point
CSIRO Oceans & Atmosphere
Penelope.Pascoe@utas.edu.au
Reference Period 25/02/2020 - 16/03/21
Geospatial Coverage {"type": "Polygon", "coordinates": [[[146.2312692571431, -43.68281562522466], [146.29369155317542, -43.68281562522466], [146.29369155317542, -43.61596796388009], [146.2312692571431, -43.61596796388009], [146.2312692571431, -43.68281562522466]]]}
Data Portal data.gov.au

Data Source

This dataset was originally found on data.gov.au "Code and data for: The effect of seabird presence and seasonality on ground-active spider communities across temperate islands". Please visit the source to access the original metadata of the dataset:
https://devweb.dga.links.com.au/data/dataset/code-and-data-for-the-effect-of-seabird-presence-and-seasonality-on-ground-active-spider-commun

Original dataset
Dataset copies

No duplicate datasets found.