Mapping and validating predictions of soil bacterial biodiversity using European and national scale datasets
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 EcoFINDER...
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ftunivreading:oai:centaur.reading.ac.uk:75774 2024-06-23T07:50:50+00:00 Mapping and validating predictions of soil bacterial biodiversity using European and national scale datasets Griffiths, Robert I. Thomson, Bruce C. Plassart, Pierre Gweon, Hyun S. Stone, Dorothy Creamer, Rachael E. Lemanceau, Philippe Bailey, Mark J. 2016-01 text https://centaur.reading.ac.uk/75774/ https://centaur.reading.ac.uk/75774/1/N511260PP.pdf https://doi.org/10.1016/j.apsoil.2015.06.018 en eng Elsevier https://centaur.reading.ac.uk/75774/1/N511260PP.pdf Griffiths, R. I., Thomson, B. C., Plassart, P., Gweon, H. S. <https://centaur.reading.ac.uk/view/creators/90008876.html> orcid:0000-0002-6218-6301 , Stone, D., Creamer, R. E., Lemanceau, P. and Bailey, M. J. (2016) Mapping and validating predictions of soil bacterial biodiversity using European and national scale datasets. Applied Soil Ecology, 97. p. 61. ISSN 0929-1393 doi: https://doi.org/10.1016/j.apsoil.2015.06.018 <https://doi.org/10.1016/j.apsoil.2015.06.018> cc_by_nc_nd_4 Article PeerReviewed 2016 ftunivreading https://doi.org/10.1016/j.apsoil.2015.06.018 2024-06-11T15:07:33Z 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 ... Article in Journal/Newspaper Arctic CentAUR: Central Archive at the University of Reading Arctic Applied Soil Ecology 97 61 68 |
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ftunivreading |
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English |
description |
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 ... |
format |
Article in Journal/Newspaper |
author |
Griffiths, Robert I. Thomson, Bruce C. Plassart, Pierre Gweon, Hyun S. Stone, Dorothy Creamer, Rachael E. Lemanceau, Philippe Bailey, Mark J. |
spellingShingle |
Griffiths, Robert I. Thomson, Bruce C. Plassart, Pierre Gweon, Hyun S. Stone, Dorothy Creamer, Rachael E. Lemanceau, Philippe Bailey, Mark J. Mapping and validating predictions of soil bacterial biodiversity using European and national scale datasets |
author_facet |
Griffiths, Robert I. Thomson, Bruce C. Plassart, Pierre Gweon, Hyun S. Stone, Dorothy Creamer, Rachael E. Lemanceau, Philippe Bailey, Mark J. |
author_sort |
Griffiths, Robert I. |
title |
Mapping and validating predictions of soil bacterial biodiversity using European and national scale datasets |
title_short |
Mapping and validating predictions of soil bacterial biodiversity using European and national scale datasets |
title_full |
Mapping and validating predictions of soil bacterial biodiversity using European and national scale datasets |
title_fullStr |
Mapping and validating predictions of soil bacterial biodiversity using European and national scale datasets |
title_full_unstemmed |
Mapping and validating predictions of soil bacterial biodiversity using European and national scale datasets |
title_sort |
mapping and validating predictions of soil bacterial biodiversity using european and national scale datasets |
publisher |
Elsevier |
publishDate |
2016 |
url |
https://centaur.reading.ac.uk/75774/ https://centaur.reading.ac.uk/75774/1/N511260PP.pdf https://doi.org/10.1016/j.apsoil.2015.06.018 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_relation |
https://centaur.reading.ac.uk/75774/1/N511260PP.pdf Griffiths, R. I., Thomson, B. C., Plassart, P., Gweon, H. S. <https://centaur.reading.ac.uk/view/creators/90008876.html> orcid:0000-0002-6218-6301 , Stone, D., Creamer, R. E., Lemanceau, P. and Bailey, M. J. (2016) Mapping and validating predictions of soil bacterial biodiversity using European and national scale datasets. Applied Soil Ecology, 97. p. 61. ISSN 0929-1393 doi: https://doi.org/10.1016/j.apsoil.2015.06.018 <https://doi.org/10.1016/j.apsoil.2015.06.018> |
op_rights |
cc_by_nc_nd_4 |
op_doi |
https://doi.org/10.1016/j.apsoil.2015.06.018 |
container_title |
Applied Soil Ecology |
container_volume |
97 |
container_start_page |
61 |
op_container_end_page |
68 |
_version_ |
1802641773159251968 |