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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ftunivwagenin:oai:library.wur.nl:wurpubs/563047 2024-01-14T10:05:04+01:00 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 text/html https://research.wur.nl/en/publications/mapping-and-validating-predictions-of-soil-bacterial-biodiversity https://doi.org/10.1016/j.apsoil.2015.06.018 en eng https://edepot.wur.nl/519034 https://research.wur.nl/en/publications/mapping-and-validating-predictions-of-soil-bacterial-biodiversity doi:10.1016/j.apsoil.2015.06.018 info:eu-repo/semantics/restrictedAccess Wageningen University & Research Applied Soil Ecology 97 (2016) ISSN: 0929-1393 Bacteria Biodiversity Map Molecular Soil info:eu-repo/semantics/article Article/Letter to editor info:eu-repo/semantics/publishedVersion 2016 ftunivwagenin https://doi.org/10.1016/j.apsoil.2015.06.018 2023-12-20T23:17:32Z 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 Wageningen UR (University & Research Centre): Digital Library Arctic Applied Soil Ecology 97 61 68 |
institution |
Open Polar |
collection |
Wageningen UR (University & Research Centre): Digital Library |
op_collection_id |
ftunivwagenin |
language |
English |
topic |
Bacteria Biodiversity Map Molecular Soil |
spellingShingle |
Bacteria Biodiversity Map Molecular Soil 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 |
topic_facet |
Bacteria Biodiversity Map Molecular Soil |
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. |
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 |
publishDate |
2016 |
url |
https://research.wur.nl/en/publications/mapping-and-validating-predictions-of-soil-bacterial-biodiversity https://doi.org/10.1016/j.apsoil.2015.06.018 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Applied Soil Ecology 97 (2016) ISSN: 0929-1393 |
op_relation |
https://edepot.wur.nl/519034 https://research.wur.nl/en/publications/mapping-and-validating-predictions-of-soil-bacterial-biodiversity doi:10.1016/j.apsoil.2015.06.018 |
op_rights |
info:eu-repo/semantics/restrictedAccess Wageningen University & Research |
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 |
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1788059466850107392 |