Leaf Trait and Spectroscopy Data from Surrey Field Experiment

Surrey, UK field experiment data comprises leaf trait measurements from 66 trees across six species on deep alluvial and shallow chalk soils. Collected by the University of Cambridge in 2015 under the NERC HMTF Programme, the dataset includes field spectroscopy and physical leaf samples.

Use Cases

• Analyze leaf trait variations between deep alluvial and shallow chalk soil conditions across six tree species.
• Model relationships between field spectroscopy data and measured physical leaf properties for species like Acer campestre or Fraxinus excelsior.
• Compare species-specific trait data, such as for Corylus avellana or Crataegus monogyna, to assess environmental adaptation.

Strengths

• Data from 66 individual trees provides a substantive sample for comparative analysis.
• Includes six distinct tree species common to both experimental sites, enabling cross-species comparison.
• Measurements taken from two contrasting soil types (alluvial and chalk) capture environmental variability.

Limitations

• Sample size is limited to a single year (2015) and a specific geographic area near Mickleham, Surrey.
• Unknown row count, column structure, and file size details limit assessment of dataset scale and complexity.

Provenance

Source

Environmental Information Data Centre, University of Cambridge.

Collection Method

Field spectroscopy and physical measurement of leaf samples collected from trees.

Time Range

2015.

Freshness

Data was collected in 2015; metadata was last updated in March 2026.

Geography

Mickleham, Surrey, United Kingdom.