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Fine scale understory vegetation structure dataset of Wytham Woods, UK, 2023

Publisher
Environmental Information Data Centre
Updated
30 July 2026
Topic
Not set
Licence
Not set

Summary

This dataset contains vegetation and canopy cover data from 780 locations across Wytham Woods (Oxfordshire). It has information on up to the four most common herbaceous plant species (42 sp. identified in total) present at 17 points per location, and canopy cover data at 9 points per location. The sampled area at each location is about 0.12 ha (circle of 20 m radius). Sampling took place in June and July 2023 by two fieldworkers. To control for the potential bias introduced by each of the measurers a subset of locations were repeated to compute the intra- and inter-observer repeatabilities being in both high for the canopy cover and species composition. This dataset results from the NERC project "Understanding Within- and Between-Population Variation in Responses to Climate Variability and Extreme Climatic Events" (Grant NE/X000184/1). The overarching aim of the project was to study the effects of intra- and inter-annual temperature variability, in relation to vegetation structure, on great tit (Parus major) fitness. Full details about this dataset can be found at https://doi.org/10.5285/371f7553-42db-4da0-a062-76b5526ecaa7

Data links

Link Format Preview Updated
Supporting information ZIP 30/7/2026
Download the data 30/7/2026

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Additional information

Source Metadata
XML, HTML
Date added
29 July 2026
Harvest GUID
371f7553-42db-4da0-a062-76b5526ecaa7
Extent (Latitude)
51.784° to 51.754°
Extent (Longitude)
-1.351° to -1.294°
Dataset reference date (publication)
2026-07-28
Access constraints
If you reuse this data, you should cite: López-Idiáquez, D., Sheldon, B.C. (2026). Fine scale understory vegetation structure dataset of Wytham Woods, UK, 2023. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/371f7553-42db-4da0-a062-76b5526ecaa7
Responsible party
(author, pointOfContact, publisher, owner, custodian)
ISO 19139 resource type
dataset
Metadata language
eng