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174 results for “soil microbial communities”
Data from: Litter microbial and soil faunal communities stimulated in the wake of a volcanic eruption in a semi-arid woodland in Patagonia, Argentina
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Data from: Linking diversity, synchrony and stability in soil microbial communities
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Soil microbial legacies and drought mediate diversity-invasibility relationships in non-native communities
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The soil microbial community alters patterns of selection on flowering time and fitness‐related traits in Ipomoea purpurea
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Root influence on soil nitrogen availability and microbial community dynamics results in contrasting rhizosphere priming effects in pine and spruce soil
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Microbial community dynamics during decomposition of insect exuviae and frass in soil
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Tea seed meal application promoted microbial community diversity in the soil of peach orchard
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Data from: Plant diversity improves resistance of plant biomass and soil microbial communities to drought
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Data from: Interactive effects of soil moisture, air temperature and litter nutrient diversity on soil microbial communities and Folsomia candida population
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Changes in microbial community structure and functioning with elevation are linked to local soil characteristics as well as climatic variables
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Soil microbial communities associated with giant sequoia: How does the world's largest tree affect some of the world's smallest organisms?
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Linking potential greenhouse gas and nitric oxide fluxes to soil microbial communities in incubation experiments with soil from the SAFE landscape
<b>Description: </b><p>Controlled lab experiment to measure potential GHG emissions and associated parameters from SAFE soil. Soil taken Nov 2016, lab experiment carried out Apr-May 2017. Day 0 is before fertilisation, day 1 application of NH4NO3 solution to simulate N deposition of approx. 5 kg N ha-1 y-1 . Day 15 for (OP2,OP7 and RR) application of NH4NO3 solution to simulate N deposition of approx 50 kg N ha-1 y-1.</p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/126"><b>Characterising soil microbial communities and measuring associated biogeochemical fluxes</b></a></p><p><b>Funding: </b>These data were collected as part of research funded by: </p><ul><li>NERC HMTF (Research Programme, (NE/K016091/1), <a href=" http://lombok.nerc-hmtf.info/"> http://lombok.nerc-hmtf.info/</a>)</li></ul><p>This dataset is released under the CC-BY 4.0 licence, requiring that you cite the dataset in any outputs, but has the additional condition that you acknowledge the contribution of these funders in any outputs.</p><p></p><p><b>Permits: </b>These data were collected under permit from the following authorities:</p><ul><li>Sabah Biodiversity Centre (Research licence JKM/MBS.1000-2/3 JLD.2 (115))</li></ul><p></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=3897394">here</a></p><p><b>Files: </b>This consists of 1 file: Lab_experiment_Melissa_corrected.xlsx</p><p><b>Lab_experiment_Melissa_corrected.xlsx</b></p><p>This file contains dataset metadata and 2 data tables:</p><ol><li><p><b>parameters_repeated_measures</b> (described in worksheet parameters_repeated_measures)</p><p>Description: soil characteristics</p><p>Number of fields: 16</p><p>Number of data rows: 207</p><p>Fields: </p><ul><li><b>core_id</b>: Location measurement was taken (Field type: id)</li><li><b>site</b>: Location measurement was taken (Field type: location)</li><li><b>landuse</b>: Land use of location (Field type: categorical)</li><li><b>day_of_exp</b>: day number (Field type: numeric)</li><li><b>flux_CH4</b>: Soil CH4 flux (Field type: numeric)</li><li><b>flux_CO2</b>: Soil CO2 flux (Field type: numeric)</li><li><b>flux_N2O-N</b>: Soil N2O flux (Field type: numeric)</li><li><b>flux_NO</b>: Soil NO flux (Field type: numeric)</li><li><b>NH4-N</b>: Soil NH4 concentration (Field type: numeric)</li><li><b>NO3-N</b>: Soil NO3 concentration (Field type: numeric)</li><li><b>soil_moisture</b>: Soil moisture around the flux chamber (Field type: numeric)</li><li><b>archaeal amoA</b>: Gene transcript abundance (Field type: numeric)</li><li><b>Proteobacteria_nirS</b>: Gene transcript abundance (Field type: numeric)</li><li><b>AniA_nirK</b>: Gene transcript abundance (Field type: numeric)</li><li><b>nosZ-I</b>: Gene transcript abundance (Field type: numeric)</li><li><b>nosZ-II</b>: Gene transcript abundance (Field type: numeric)</li></ul></li><li><p><b>parameters_one_off</b> (described in worksheet parameters_one_off)</p><p>Description: soil pH and density</p><p>Number of fields: 5</p><p>Number of data rows: 18</p><p>Fields: </p><ul><li><b>core id</b>: Location measurement was taken (Field type: id)</li><li><b>site</b>: Location measurement was taken (Field type: location)</li><li><b>landuse</b>: Land use of location (Field type: categorical)</li><li><b>pH</b>: Soil pH (Field type: numeric)</li><li><b>bulk_density</b>: dry weight of soil (Field type: numeric)</li></ul></li></ol><p><b>Date range: </b>2016-11-01 to 2017-05-30</p><p><b>Latitudinal extent: </b>4.5000 to 5.0700</p><p><b>Longitudinal extent: </b>116.7500 to 117.8200</p>
Dataset_2020_Biogeosciences_Protists and collembolans alter microbial community composition, C dynamics and soil aggregation in simplified consumer - prey systems
<p>Dataset associated to the publication: Erktan, A., Rillig, M.C., Carminati, A., Jousset, A., Scheu, S. (2020) Protists and collembolans alter microbial community composition, C dynamics and soil aggregation in simplified consumer - prey systems, Biogeosciences, accepted the 27/08/2020.</p>
Data from: Effects of aridity on soil microbial communities and functions across soil depths on the Mongolian Plateau
1. Arid and semi-arid grassland ecosystems cover about 15% of the global land surface and provide vital soil carbon (C) and nitrogen (N) sequestration. Although half of the soil C and N is stored in deep soils (below 30 cm), no regional-scale study of microbial properties and their functions through the soil profile has been conducted in these drylands. 2. To explore the distribution and determinants of microbial properties and C and N mineralization rates through soil profile along aridity gradient at a regional scale, we investigated these variables for four soil layers (0-20, 20-40, 40-60, and 60-100 cm) in 132 plots on the Mongolia Plateau. 3. Soil microbial properties (biomass and bacteria:fungi ratio) and C and N mineralization rates decreased with increasing soil depth and aridity at the regional scale. Aridity-induced declines in soil microbial properties mainly resulted from the negative effects of aridity on ANPP/root biomass and soil organic C (SOC) in the surface soil layers (0-20 and 20-40 cm) but from the direct and indirect (via SOC and soil C/N) negative effects of aridity in the deep soil layers (40-60 and 60-100 cm). 4. Aridity-induced declines in soil C mineralization rates mainly resulted from the negative indirect effect of aridity on SOC and microbial properties in each soil layer, with weaker effects of SOC and stronger effects of soil microbes in the deep soil layers. Aridity-induced declines in soil N mineralization rates mainly resulted from the negative indirect effect of aridity on SOC in the three soil layers above 60 cm and mainly resulted from the negative direct effect of aridity in the 60-100 cm soil layer. 5. Aridity via direct or indirect effects strongly determined the patterns of soil microbial properties and C and N mineralization throughout soil profiles on the Mongolian Plateau. These findings suggest that the increases in aridity are likely to induce changes in soil microorganisms and their associated functions across soil depths of semi-arid grasslands, and future models should consider the dynamic interactions between substrates and microbial properties across soil depths in global drylands.
Data from: Differences in thallus chemistry are related to species-specific effects of biocrust-forming lichens on soil nutrients and microbial communities
1. It is well-known that vascular plants have species-specific effects on soil properties. However, little is known on how individual species forming biocrusts, communities dominated by lichens, mosses and cyanobacteria that are prevalent in many ecosystems world-wide, affect microbial communities and soil variables related to nutrient cycling. 2. We evaluated the relationship of six biocrust-forming lichens (Buellia epipolia, Diploschistes diacapsis, Fulgensia subbracteata, Psora decipiens, Squamarina cartilaginea and Squamarina lentigera) with microbial abundance and multiple variables associated with soil nitrogen (N), carbon (C) and phosphorus (P) cycling and storage. We also evaluated whether the composition of lichen tissues (contents in C, N, P and polyphenols) is related to the C, N, P availability and microbial abundance in soils. Finally, we assessed what lichen species positively and negatively relate to soil fertility compared to bare ground areas without biocrusts. 3. We found contrasted C, N, P availability and soil microbial abundance under the different biocrust-forming lichens. Interestingly, inorganic P and amino acids were the most important factors differentiating lichen microsites. These differences in nutrient availability seem to be related to the C, N and P composition of the lichen tissues. For example, soils under D. diacapsis and P. decipiens, which had the lowest and highest C, N and P contents in their tissues, respectively, had the lowest and highest nutrient availability, respectively. We also found contrasted soil microbes abundance under the different soil lichens. For instance, F. subbracteata and D. diacapsis were negatively related to the abundance of bacteria compared to bare ground areas. 4. Our results support the idea that, as found with vascular plants, biocrust-forming lichens have species-specific effects on soil microbial communities and C, N and P cycling. Thus, continuing considering biocrusts as a unique entity will only add confusion to our knowledge of how they control nutrient availability and microbial abundance in the ecosystems where this key community is prevalent.
Data from: Effects of between-site variation in soil microbial communities and plant-soil feedbacks on the productivity and composition of plant communities
A critical challenge in the science and practice of restoration ecology is to understand the drivers of variation in restoration outcomes. Soil microbial communities may have a role in explaining this variation due to both site-to-site variation in the composition of soil microbial communities and due to variation that can arise due to plant-soil feedbacks. We tested the relative importance of between-site variation in soil microbial community composition and plant-soil feedbacks in shaping plant community composition and ecosystem function. We used a standard two-phase plant-soil feedback design. Soil inoculum was collected from four tallgrass prairie sites. Then, soils were conditioned separately with nine plant species, and conditioned soils were used to inoculate prairie community mesocosms. In a separate experiment using soil from an additional site we tested conditioned soil samples for the abundance of arbuscular mycorrhizal fungi (AMF) and rhizobia. Site of soil origin and plant-soil feedbacks both had effects on the composition and productivity of our plant communities, and the magnitudes of these effects were similar. We also found changes in the abundance of AMF and rhizobia due to plant-soil feedbacks and that AMF abundance were associated with differences in plant community composition. These results indicate that the composition of soil communities due to site-to-site variation and plant-soil feedbacks are both important determinants of plant community composition and productivity. Our results also suggest that AMF and rhizobia are key microbial functional groups underlying plant-soil feedback effects. Synthesis and applications. Site-to-site variation in soil communities can explain some variation in restoration of plant communities. Since plant-soil feedback effects of restored plant species do not overcome this variation, knowledge of soil microbial communities present at a site prior to initiation of restoration efforts may improve predictability of restoration outcomes, and reintroduction of some components of the soil community may be necessary to achieve restoration goals. Additionally, by understanding variation due to plant-soil feedbacks, restoration practitioners can choose plant species for reintroduction that will create favourable soil conditions, including promoting microbial mutualists. Plant-soil feedbacks should also make it possible to increase heterogeneity in soil microbial communities, leading to increases in beta diversity in plant communities.
Soil trenching – are microbial communities alike in experimental peatland plots measuring total and heterotrophic respiration?
<p> </p> <table> <tbody> <tr> <td>Data obtained within a project financed by LIFE Programme of the European Union ‘Demonstration of climate change mitigation potential of nutrients rich organic soils in Baltic States and Finland (LIFE OrgBalt, LIFE18 CCM/LV/001158)</td> </tr> <tr></tr> </tbody> </table>
Copiotrophic taxa in pig manure mitigate nitrogen limitation of soil microbial communities
<p>Dataset for soil properties, enzyme activities and stoichiometric parameters.</p>
Elevated CO2 and Nitrogen Supply Boost N Use Efficiency and Wheat Growth, and Differentiate Soil Microbial Communities Related to Ammonia-oxidization
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Elevated CO2 and Nitrogen Supply Boost N Use Efficiency and Wheat Growth, and Differentiate Soil Microbial Communities Related to Ammonia-oxidization
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International Brain Laboratory public data
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OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.