Flora and fauna data from agricultural land under differing crop and management regimes, 2006-2010 - RELU Effects of scale in organic agriculture 
 (Effects of scale in organic agriculture - ecology data, 2006-2010) 
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          This dataset consists of ecology data from 16 paired field sites; each pair consisting of an organic and conventional farm. A multiscale sampling design was employed to assess the impact of (i) location-within-field (field margin vs. edge vs. centre), (ii) crop type (arable cereal vs. permanent pasture), (iii) farm management (organic vs. conventional) and (iv) landscape-scale management (landscapes that contained low or high fractions of organic land) on a wide range of taxa. Studied taxa include birds, insect pollinators (hoverflies, bumblebees and solitary bees), epigeal arthropods, aphids and their natural enemies, earthworms and plants. 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 Most who were currently farming (i.e. their listing was not out of date) agreed to participate.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. Soil data from agricultural land under differing crop and management regimes,are also available. 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
          
         View numbers valid from 01 June 2023 Download numbers valid from 20 June 2024 (information prior to this was not collected)
           
          Formats
Microsoft Excel, Comma-separated values (CSV)
Spatial information
          Study area
         
         
          Spatial representation type
         
         
          Tabular (text)
         
        
          Spatial reference system
         
         
          WGS 84
         
        Temporal information
          Temporal extent
         
         2007-03-04    to    2008-08-31
          
         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: 12 lamb farms, 15 beef farms, 12 cheese farms, 3 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
        
       Licensing and constraints
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Supplemental information
          Gabriel, D., Sait, S.M., Hodgson, J.A., Schmutz, U., Kunin, W.E. and Benton, T.G. 2010. Scale matters: the impact of organic farming on biodiversity at different spatial scales. Ecology Letters 13: 858-869.
         
         
        Correspondence/contact details
Other contacts
          Custodian
         
         
            NERC EDS Environmental Information Data Centre
           
  info@eidc.ac.uk
          
          Publisher
         
         
            NERC Environmental Information Data Centre
           
  info@eidc.ac.uk
          
          Owner
         
         
          Owner
         
         
          Owner
         
         
          Owner
         
         Additional metadata
          Keywords
         
         2006-2010 , aphids , bumblebees , earthworms , Effects of Scale in Organic Agriculture , epigeal arthropods , farmland birds , farmland plants , hoverflies , natuaral enemies , pollinators , Rural Economy and Land Use Programme , solitary wild bees
         
        
          Funding
         
          Economic and Social Research Council 
         
         
      