This web map service (WMS) depicts estimates of mean values of soil bacteria, invertebrates, carbon, nutrients and pH within selected habitats and parent material characteristics across GB . Estimates were made using CS data using a mixed model approach. The estimated means of habitat/parent material combinations using 2007 data are modelled on dominant habitat and parent material characteristics derived from the Land Cover Map 2007 and Parent Material Model 2009, respectively. Bacteria data is representative of 0 - 15 cm soil depth and includes bacterial community structure as assessed by ordination scores. Invertebrate data is representative of 0 - 8 cm soil depth and includes Total catch, Mite:Springtail ratio, Number of broad taxa and Shannon diversity. Gravimetric moisture content (%) data is representative of 0 - 15 cm soil depth Carbon data is representative of 0-15 cm soil depth and includes Loss-on-ignition (%), Carbon concentration (g kg-1) and Carbon density (t ha-1). Loss-on-ignition was determined by combustion of 10g dry soil at 375 deg C for 16 hours; carbon concentration was estimated by multiplying LOI by a factor of 0.55, and carbon density was estimated by combining carbon concentration with bulk density estimates. Nutrient data is representative of 0 - 15 cm soil depth and includes total nitrogen (N) concentration (%), C:N ratio and Olsen-Phosphorus (mg/kg). pH and bulk density (g cm-3) data is representative of 0 - 15 cm soil depth. Topsoil pH was measured using 10g of field moist soil with 25ml de-ionised water giving a ratio of soil to water of 1:2.5 by weight; bulk density was estimated by making detailed weight measurements throughout the soil processing procedure. Areas, such as urban and littoral rock, are not sampled by CS and therefore have no associated data. Also, in some circumstances sample sizes for particular habitat/parent material combinations were insufficient to estimate mean values.
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Estimates were modelled with data collected by the Countryside Survey. For details of similar statistical analysis see Scott, 2008 (http://www.countrysidesurvey.org.uk/outputs/technical-reports)