- Update frequency
asNeeded
- Lineage
- This dataset was created through systematic soil sampling across Forest Research monitoring plots, including Level I and Level II ICP Forests plots and additional NFI+ sampling locations. Field sampling methodology for soil physical and chemical indicators: - Soil samples collected using a stratified random sampling design within forest stands - Sampling conducted during October & January to minimise seasonal variation - Volumetric samples taken using steel corers for bulk density determination - Composite samples created from 5 sub samples per plot for chemical analysis - GPS coordinates recorded at ± 3m accuracy for all sampling points Laboratory analysis: - Soil pH determined using 1:2.5 soil:water suspension (ISO 10390:2005) - Organic carbon analysed by dry combustion (ISO 10694:1995) or Walkley-Black method - Total nitrogen determined by Kjeldahl digestion or dry combustion (ISO 13878:1998) - Available phosphorus extracted using Olsen method for neutral/alkaline soils or Bray method for acid soils - Particle size analysis conducted using pipette method or laser diffraction (ISO 11277:2009) - Bulk density determined from oven-dried (105°C) volumetric samples - All analyses conducted at Forest Research/UKAS accredited laboratory Quality control: - Certified reference materials analysed with each batch - Duplicate analyses performed on 10% of samples - Inter-laboratory ring tests participated in annually through ICP Forests programme Data processing: - Laboratory results compiled and validated against expected ranges - Outliers investigated and reanalysed where necessary - Data harmonised with BioSoil and ICP Forests database structures - Spatial data linked using unique plot identifiers Third-party data integration: - Climate data from Met Office 1km grid datasets - Elevation data from Ordnance Survey DTM - Geological parent material from British Geological Survey 1:50,000 maps Field sampling methodology for biological indicators is the same as for soil chemical and physical indicators (5 replicates per plot): for mesofauna, standard cores (8 cm, 5 cm diameter) were extracted by Tullgren funnel extraction and specimens identified taxonomically and by metabarcoding. For earthworms, soil pits (25x25x20 cm) were dug and hand-sorted for 20-25 minutes, specimens identified taxonomically. For bacteria and nematodes, samples were collected at 2 depths (0-15 cm, 15-30 cm) with a minimum weight of 100 g and identified by metabarcoding; same depths for fungi soil cores (30 cm, 6 cm diameter), identified by metabarcoding.
NFI+ Soil Condition & Health
Summary
This dataset contains comprehensive soil chemical, physical and biological indicators collected as part of the NFI+ (National Forest Inventory Plus) programme and the BioSoil forest soil and biodiversity monitoring network. The dataset covers forest soil sampling sites across Great Britain and provides baseline and monitoring data on soil condition and health in forest ecosystems.
Chemical indicators measured include: soil pH (measured in water and CaCl2), organic carbon content (%), total nitrogen (%), available phosphorus (mg/kg), exchangeable cations (Ca, Mg, K, Na in cmol/kg), cation exchange capacity (cmol/kg), base saturation (%), and heavy metal concentrations where applicable.
Physical indicators measured include: soil texture (% sand, silt, clay), bulk density (g/cm³), porosity (%), aggregate stability, moisture content at sampling, and soil depth profiles.
Biological indicators measured include: metabarcoding data (ASVs) only for bacterial and fungal communities. Metabarcoding and taxonomic (counts) data for mesofauna communities. Taxonomic data only for earthworm communities.
Samples were collected at multiple depth intervals (0-10cm, 10-20cm, 20-40cm) using standardised protocols aligned with ICP Forests and BioSoil methodologies. Each sampling location includes associated metadata on forest type, soil type, elevation and forest origin (plantation or natural). The data include chemical and physical soil properties.
Quality assurance procedures included duplicate sampling, laboratory reference standards, and inter-laboratory comparisons.
Limitations: Data coverage is limited to forest soils only. Some historical samples may have incomplete heavy metal analysis. Seasonal variation should be considered when interpreting results.
Data are georeferenced using a delocalised grid. The bounding coordinates for each grid square are included in the dataset. Further information about the delocalisation process is provided in the dataset evidence pack.
The 'NFI+ Soil Condition & Health' is a project funded by the UK Government through Defra’s Natural Capital and Ecosystem Assessment programme (NCEA), England sites, and the Department for Energy, Security and Net Zero (DESNZ), Scotland sites. Users should ensure they have read the supporting documentation before viewing or making use of the data. This includes the NCEA Analysis Ready Data Limitations Statement and dataset specific limitations/caveats outlined in the supporting documentation, please refer to the 'Metadata' tab on each of the Soil Condition datasets in the 'Full downloads and supporting documentation' section.
Categories
Keywords
- soil chemistry
- organic carbon
- soil texture
- soil quality
- nutrient cycle
- forest ecosystem
- ARD
- Analysis Ready Data
- Great Britain
- ICP Forests
- NCEA
- bacteria
- base saturation
- belowground biodiversity
- bioindicators
- biosoil
- boilogical monitoring
- bulk density
- carbon sequestration
- cation exchange capacity
- eDNA
- earthworms
- forest soil biota
- forest soil monitoring
- fungi
- mesofauna
- metabarcoding
- microbial communities
- molecular analysis
- soil biodiversity
- soil carbon stocks
- soil health
- soil indicators
- soil nutrients
- soil organic matter
- soil ph
- soil physics
- soil sampling
- total nitrogen
Use limitation statement
Users should ensure they have read the supporting documentation before viewing or making use of the data. This includes the NCEA Analysis Ready Data Limitations Statement and dataset specific limitations/caveats outlined in the supporting documentation
Licence
Open Government LicenceAttribution statement
© Forestry Commission copyright and/or database right 2025. Includes data from Ordnance Survey, British Geological Survey, and the Met Office. All rights reserved.
Use constraints
There are no public access constraints to this data. Use of this data is subject to the licence identified.
Coordinate reference system
http://www.opengis.net/def/crs/EPSG/0/27700Geographic extent
- Latitude from: 49.8647926358421 to 60.8607658077002
- Longitude from: -8.64999583330431 to 1.76370560966352
Language
English
Metadata identifier
97db9f06-94ed-49cf-bc72-333504ac62c1
Data and Supporting Information
| Data services and download by area of interest | Link | Action |
|---|---|---|
| Forestry Commission Open Data | Open link | |
| NCEA Analysis Ready Data Limitations Statement Dec 2025 | Open link | |
| ICP Forests Manual 2022 Objectives | Open link | |
| ICP Forests Manual 2021 QAQC | Open link | |
| ICP Forests Manual 2020 Basic Design | Open link | |
| ICP Forests Manual 2020 Soil Analysis | Open link | |
| ICP Forests Manual 2016 Sampling & Analysis of Soils | Open link | |
| ICP Forest Manual 2020 QAQC Labs | Open link |
| Full downloads and supporting documentation | Format | Action |
|---|---|---|
| Soil Condition NCEA Bacterial Fungal Data 2022-24.ods | ODS | |
| Soil Condition NCEA Bacterial Fungal QAQC 2022-24.pdf | ||
| Soil Condition NCEA Chemical Physical Data 2022-24.ods | ODS | |
| Soil Condition NCEA Chemical Physical QAQC 2022-24.pdf | ||
| Soil Condition NCEA FR BioSoil Extended Protocol 2022-24.pdf | ||
| Soil Condition NCEA Mesofauna Earthworms Data 2022-24.ods | ODS | |
| Soil Condition NCEA Mesofauna Earthworms QAQC 2022-24.pdf | ||
| Soil Condition NCEA Method Statement ToC v1.0 2022-24.pdf |