Mapping and validating predictions of soil bacterial biodiversity using European and national scale datasets

Griffiths, Robert I. ORCID: https://orcid.org/0000-0002-3341-4547; Thomson, Bruce C.; Plassart, Pierre; Gweon, Hyun S. ORCID: https://orcid.org/0000-0002-6218-6301; Stone, Dorothy; Creamer, Rachael E.; Lemanceau, Philippe; Bailey, Mark J.. 2016 Mapping and validating predictions of soil bacterial biodiversity using European and national scale datasets [in special issue: Soil biodiversity and ecosystem functions across Europe: a transect covering variations in bio-geographical zones, land use and soil properties] Applied Soil Ecology, 97. 61-68. 10.1016/j.apsoil.2015.06.018

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Official URL: http://dx.doi.org/10.1016/j.apsoil.2015.06.018

Abstract/Summary

Recent research has highlighted strong correlations between soil edaphic parameters and bacterial biodiversity. Here we seek to explore these relationships across the European Union member states with respect to mapping bacterial biodiversity at the continental scale. As part of the EU FP7 EcoFINDERs project, bacterial communities from 76 soil samples taken across Europe were assessed from eleven countries encompassing Arctic to Southern Mediterranean climes, representing a diverse range of soil types and land uses (grassland, forest and arable land). We found predictable relationships between community biodiversity (ordination site scores) and land use factors as well as soil properties such as pH. Based on the modelled relationship between soil pH and bacterial biodiversity found for the surveyed soils, we were able to predict biodiversity in ∼1000 soils for which soil pH data had been collected as part of national scale monitoring. We then performed interpolative mapping utilising existing EU wide soil pH data to present the first map of bacterial biodiversity across the EU member states. The predictive accuracy of the map was assessed again using the national scale data, but this time contrasting the EU wide spatial predictions with point data on bacterial communities. Generally the maps were useful at predicting broad extremes of biodiversity reflective of low or high pH soils, though predictive accuracy was limited for Britain particularly for organic/acidic soil communities. Spatial accuracy could however be increased by utilising published maps of soil pH calculated using geostatistical approaches at both global and national scales. These findings will contribute to wider efforts to predict and understand the spatial distribution of soil biodiversity at global scales. Further work should focus on enhancing the predictive power of such maps, by harmonising global datasets on soil conditioning parameters, soil properties and biodiversity; and the continued efforts to advance the geostatistical modelling of specific components of soil biodiversity at local to global scales.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	10.1016/j.apsoil.2015.06.018
UKCEH and CEH Sections/Science Areas:	Acreman Directors, SCs
ISSN:	0929-1393
Additional Keywords:	soil, bacteria, map, molecular, biodiversity
NORA Subject Terms:	Ecology and Environment Agriculture and Soil Science Biology and Microbiology
Date made live:	20 Jul 2015 14:13 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/511260

Item Type:

Publication - Article

Digital Object Identifier (DOI):

10.1016/j.apsoil.2015.06.018

UKCEH and CEH Sections/Science Areas:

Acreman
Directors, SCs

ISSN:

0929-1393

Additional Keywords:

soil, bacteria, map, molecular, biodiversity

NORA Subject Terms:

Ecology and Environment
Agriculture and Soil Science
Biology and Microbiology