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59 results for “microbial nitrogen”
Data for Rhamnolipids mediate the effects of a gastropod grazer in regards to carbon-nitrogen stoichiometry of intertidal microbial biofilms
<p>Data for the manuscript: <strong>Rhamnolipids mediate the effects of a gastropod grazer in regards to carbon-nitrogen stoichiometry of intertidal microbial biofilms. </strong></p>
Long-term warming of a forest soil reduces microbial biomass and its carbon and nitrogen use efficiencies
<p>Global warming impacts biogeochemical cycles in terrestrial ecosystems, but it is still unclear how the simultaneous cycling of carbon (C) and nitrogen (N) in soils could be affected in the longer-term. Here, we evaluated how 14 years of soil warming (+4°C) affected the soil C and N cycle across different soil depths and seasons in a temperate mountain forest. We used H<sub>2</sub><sup>18</sup>O incorporation into DNA and <sup>15</sup>N isotope pool dilution techniques to determine gross rates of C and N transformation processes. Our data showed different warming effects on soil C and N cycling, and these were consistent across soil depths and seasons. Warming decreased microbial biomass C (−22%), but at the same time increased microbial biomass-specific growth (+25%) and respiration (+39%), the potential activity of β-glucosidase (+31%), and microbial turnover (+14%). Warming reduced gross rates of protein depolymerization (−19%), but stimulated gross N mineralization (+63%) and the potential activities of N-acetylglucosaminidase (+106%) and leucine-aminopeptidase (+46%), and had no impact on gross nitrification (+1%). Microbial C and N use efficiencies were both lower in the warming treatment (−15% and −17%, respectively). Overall, our results suggest that long-term warming drives soil microbes to incorporate less C and N into their biomass (and necromass), and to release more inorganic C and N to the environment, causing lower soil C and N storage in this forest, as indicated by lower soil C and total N contents. The decreases in microbial CUE and NUE were likely triggered by increasing microbial P constraints in warmed soils, limiting anabolic processes and microbial growth and promoting pervasive losses of C and N from the soil.</p>
Data from: Warming-induced effects on microbial communities and nitrogen cycling capacity in tundra litter
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Data and code from: Thermodynamics underpinning the microbial community-level nitrogen networks
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Habitat specific effects of bark on wood decomposition: influences of fragmentation, nitrogen concentration, and microbial community composition
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Dataset for manuscript entitled: Switchgrass cropping systems affect soil carbon and nitrogen and microbial diversity and activity on marginal lands
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Nitrogen enrichment stimulates wetland plant responses whereas salt amendments alter sediment microbial communities and biogeochemical responses
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Long-term warming of a forest soil reduces microbial biomass and its carbon and nitrogen use efficiencies
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Plant-microbe interactions derive the rhizosphere microbial assembly and nitrogen cycling in a subtropical forest
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Trophic regulation of soil microbial biomass under nitrogen enrichment: A global meta-analysis
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Data from: Nitrogen availability and changes in precipitation alter microbially-mediated N emissions from a Pinyon Juniper dryland
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Data from: Effects of straw return on soil carbon and nitrogen pools and on the diversity of microbial structures and functions
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Reconciling plant and microbial ecological strategies to elucidate cover crop effects on soil carbon and nitrogen cycling
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Biochar and nitrogen fertilizer promote rice yield by altering soil enzyme activity and microbial community structure
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Data from: Weed management modifies functional properties of both weeds and microbial nitrogen-cycling communities in Mediterranean vineyards
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Data from: Environmental change alters nitrogen fixation rates and microbial parameters in a subarctic biological crust
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Canopy and understory nitrogen additions differently affect soil microbial residual carbon in a temperate forest
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Microbial nitrogen: Schizachyrium scoparium Nutrient Uptake Profiles
The objective of this experiment is to determine the distances over which Schizachyrium scoparium can reduce available soil N. This experiment is being conducted in field B, outside the fenced area of the microplots. Each experimental unit consists of a circular plot of 3 meters diameter, at the center of which there is a Schizachyrium scoparium plant. Two treatments are being tested: 1 (=A). All the vegetation around the central S. scoparium was killed with roundup at a rate of 2.04 g/m2 (1g of Isopropylamine salt of N (phosphonomethyl ) Glycine ). Spraying was repeated at the same rate as needed (Yearly folder). A plastic barrier, 80 cm high, was placed around each Schizachyrium scoparium plant to protect it from any drift that might occur. The area sprayed is the circle with 2 m radius around the central plant. 2 (=B). The vegetation around S. scoparium is left intact. Each treatment is replicated 5 times. The two treatments were randomly assigned to the 10 plots of the experiment. The plot layout is: Plot # Treatment 1 2 2 1 3 2 4 2 5 1 6 1 7 1 8 2 9 2 10 1 Soil samples were taken several times and the amount of ammonium and nitrate were determined at the lab. Soil samples were also taken once for mineralization rate, microbial biomass and total carbon determination. When plants reached maturity, they were harvested and dried for dry matter determination, then ground for tissue nitrogen determination. For an additional list of treatments see the treatment layouts in file trmte38.
Substrate mass, nitrogen, extracellular enzyme, and microbial biomass and stoichiometry dynamics: Nitrogen limitation in decomposition
Modern agriculture and fossil fuel combustion contribute to the transfer of N from largely inert pools (atmospheric N2, fossil fuel reserves) to biologically reactive forms that can be transported downwind from agricultural or industrial areas to ecosystems that historically may have experienced low levels of N inputs. Understanding how increased N inputs alter the cycling of another biologically important element, C, has been impeded by uncertainties about N effects on the process of decomposition. To date, ecologists remain unable to predict when, where, and in what forms N addition stimulates rates of decomposition. For example, recent work showed that in eight low-N sites in Central Minnesota, litter N was positively correlated with decomposition, suggesting N limitation of decomposition, yet addition of inorganic N fertilizer increased decomposition in only two of eight sites. These paradoxical results call into question the assumption that the often-observed correlation between substrate N concentration and decomposition arises because N limits decomposition. Research is addressing three interrelated questions:* (1) Why do litter N and externally supplied N have contrasting effects on decomposition in low-N ecosystems? (2) Do different forms of N (organic vs. inorganic; substrate vs. externally supplied) affect the activity, function and composition of the decomposer community differently, and, if so, what are the consequences for decomposition? (3) What are temporal dynamics of the activity, function, and composition of the decomposer community and do these dynamics depend upon the amount and forms of N supplied to the decomposer community?* These questions will be addressed using a 4-y decomposition experiment manipulating the quantity and form of N available to decomposers via use of substrates ranging in N concentrations and of inorganic (ammonium nitrate) and organic (amino acids) N fertilizers. The response of microbial biomass, stoichiometry, efficiency
Soil carbon, nitrogen, and phosphorus cycling microbial populations and their resistance to global change depend on C:N:P stoichiometry
<p><span>Maintaining the stability of ecosystem functions to global change calls for a better understanding the regulatory factors of functionally specialized microbial-groups and their population-response to disturbance. Here, we explored this issue by collecting soils from 54 managed ecosystems in China and building a predictive model of microcosm experiments. <span>S</span><span>oil carbon:nitrogen:phosphorus (C:N:P) stoichiometry</span> <span>(3</span><span>5</span><span>%~4</span><span>9</span><span>%)</span> imparted a greater individual effects on the abundances of microbial-groups associated with main carbon C, N, and P biogeochemical processes in comparison with geographical conditions <span>(7%~10%).</span> <span>Soil</span><span> total </span><span>C </span><span>and N </span><span>content</span><span>s were</span><span> significantly positively correlated with the abundances of </span><span>d</span><span>iazotrophs</span><span> (</span><i><span><span>nifH</span></span></i><span>), </span><span>n</span><span>itrifiers</span><span> (bacterial </span><i><span><span>amoA</span></span></i><span>), </span><span>n</span><span>itrate </span><span>r</span><span>educers</span><span> (</span><i><span><span>narG</span></span></i><span>) and d</span><span>enitrifiers</span><span> (</span><i><span><span>nirS</span></span></i><span>/</span><i><span><span>K</span></span></i><span> and </span><i><span><span>nosZ </span></span></i><span>genes).</span><span> Soil C:</span><span>N</span><span> ratio not only exhibited a negative relationship with the abundances of </span><span>P activators</span><span> (</span><i><span><span>phoD</span></span></i><span><span>,</span></span> <i><span><span>phoC</span></span></i><i> </i><span>and </span><i><span><span>pqqC</span></span></i><span> genes</span><span>)</span><span>, but also with </span><span>c</span><span>ellulolytic</span><span> decomposers</span><span> (</span><i><span><span>fungcbhIR</span></span></i><span> and </span><i><span><span>GH74</span></span></i> <span>genes)</span><span>. N</span><span>itrogen</span><span> cycling </span><span>genes, including bacterial </span><i><span><span>amoA</span></span></i><span>,</span><i><span><span> nirS</span></span></i><span>, </span><i><span><span>narG</span></span></i><span> and </span><i><span><span>norB</span></span></i><span>,</span> <span>exhibited</span><span> high</span><span>er</span><span> genetic resistance to </span><span>N deposition</span><span> compared with the </span><span>drying-wetting cycles</span><span> and </span><span>warming</span><span>. </span><span>Soil </span><span>total </span><span>C, N and P contents, and their ratios</span> <span>had</span><span> a </span><span>strong </span><span>direct effect on </span><span>the </span><span>genetic </span><span>resistance </span><span>of </span><span>microbial-groups</span><span>.</span><span> S</span><span>oil C:P ratio </span>was selected by random forest analyses as the main predictor of N cycling genetic resistance to <span>N deposition</span><span>. </span><span>Soil </span><span>total </span><span>C and N contents, and their ratios were </span>the main predictors of the <span>P cycling genetic resistance</span><span> to three global change drivers</span>. Overall, our work highlights the importance of soil stoichiometric balance for maintaining the ability of microbially-driven ecosystem functions to withstand global change.</span></p>
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.