Soil data from agricultural land under differing crop and management regimes, 2006-2010 - RELU Effects of scale in organic agriculture

This dataset consists of soil data for 64 field sites on paired farm sites, with 29 variables measured for soil texture and structural condition, aggregate stability, organic matter content, soil shear strength, fuel consumption, work rate, infiltration rate, water quality and hydrological condition (HOST) data. The study is part of the NERC Rural Economy and Land Use (RELU) programme. A move to organic farming can have significant effects on wildlife, soil and water quality, as well as changing the ways in which food is supplied, the economics of farm business and indeed the attitudes of farmers themselves. Two key questions were addressed in the SCALE project: what causes organic farms to be arranged in clusters at local, regional and national scales, rather than be spread more evenly throughout the landscape; and how do the ecological, hydrological, socio-economic and cultural impacts of organic farming vary due to neighbourhood effects at a variety of scales. The research was undertaken in 2006-2007 in two study sites: one in the English Midlands, and one in southern England. Both are sites in which organic farming has a 'strong' local presence, which we defined as 10 per cent or more organically managed land within a 10 km radius. Potential organic farms were identified through membership lists of organic farmers provided by two certification bodies (the Soil Association and the Organic Farmers and Growers). Most who were currently farming (i.e. their listing was not out of date) agreed to participate. Conventional farms were identified through telephone listings. Respondents' farms ranged in size from 40 to 3000 acres, with the majority farming between 100 and 1000 acres. Most were mixed crop-livestock farmers, with dairy most common in the southern site, and beef and/or sheep mixed with arable in the Midlands. In total, 48 farms were studied, of which 21 were organic farmers. No respondent had converted from organic to conventional production, whereas 17 had converted from conventional to organic farming. Twelve of the conventional farmers defined themselves as practicing low input agriculture. Farmer interview data from this study are available at the UK Data Archive under study number 6761 (see online resources). Further documentation for this study may be found through the RELU Knowledge Portal and the project's ESRC funding award web page (see online resources).

Publication date: 2012-09-21


Study area
Temporal extent
2007-03-01    to    2008-04-01

Supplemental information

Other useful information regarding this dataset:

Stagl, S. , Effects of Scale in Organic Agriculture - Soil Data, 2006-2010. Lancaster, Environmental Information Data Centre [distributor], September 2012. URI CEH:EIDC: 1310549740504

Provenance & quality

Research funded by Economic and Social Research Council, Natural Environment Research Council and Biotechnology and Biological Sciences Research Council. Award Number: RES-227-25-0006 Botanical inventory and soil analyses on 42 selected case study farms with biodiverse grassland types: twelve lamb farms, fifteen beef farms, twelve cheese farms, three control farms. Three grassland communities (mesotrophic, acid and calcareous) were so selected, represented by saltmarsh, moorland and heather for sheep farming; acid, calcareous and wet-neutral grasslands for beef farming; and circumneutral for on-farm cheese production. These were located using existing vegetation maps and surveys. For the botanical survey plant species were identified and their frequency recorded, as well as site and vegetation description, soil profile, soil depth, slope, aspect, stand area, sample area, mean height of layers of vegetation, altitude and geology. The data recorded on species cover and the calculated frequency class was then used to assign the assessed stand of vegetation to a published community or sub-community. For soil analyses 100 g soil samples were taken for each site to determine:
* sodium, potassium, calcium and magnesium in soil by ICP-AES
* phosphate-phosphorus in soil by colorimetry
* pH in soil and water

Other contacts

Environmental Information Data Centre
Ruben Sakrabani
Cranfield University
RJ Godwin
Cranfield University
Laura Hathaway-Jenkins
Cranfield University


Spatial representation type
Tabular (text)
Spatial reference system
WGS 84


Topic categories
Boundaries , Environment , Farming
[HASSET keywords],  2006-2010,  Effects of Scale in Organic Agriculture,  Rural Economy and Land Use Programme