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123 results for “Carbon cycling”
Impact of soil inoculation on crop residue breakdown and carbon and nitrogen cycling in organically and conventionally managed agricultural soils
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Precipitation manipulation and terrestrial carbon cycling: the roles of treatment magnitude, experimental duration, and local climate
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Mycorrhiza: Saprotroph interactions and carbon cycling in the rhizosphere
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Does land use age influence carbon cycling in the Tibetan Plateau?
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Southern Ocean's circulation impact on the marine carbon cycle
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A before/after intervention study to determine impact on life cycle carbon footprint of converting from single-use to reusable sharps containers in 40 United Kingdom NHS Trusts
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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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Shifts in plant composition mediate grazing effects on carbon cycling in grasslands
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Data from: Desiccation and rehydration of mosses greatly increases resource fluxes that alter soil carbon and nitrogen cycling
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Effects of salt marsh vegetation zonation on carbon and nitrogen cycling in Connecticut
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Repeated fire shifts carbon and nitrogen cycling by changing plant inputs and soil decomposition across ecosystems
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Repeated freeze-thaw cycles increase extractable, but not total, carbon and nitrogen in a Maine coniferous soil
This dataset contains processed data for the publication Patel et al. 2021. "Repeated freeze-thaw cycles increase extractable, but not total, carbon and nitrogen in a Maine coniferous soil". Geoderma. https://doi.org/10.1016/j.geoderma.2021.115353. Northeastern North America has been experiencing warmer winters with reduced snow accumulation, with more frequent winter freeze-thaw cycles. We conducted a laboratory experiment to investigate how increased frequency of freeze-thaw cycles (FTC) would alter soil C and N availability. Organic (O) and mineral (B) horizon soils were collected from a coniferous forest in Maine, processed to exclude roots, and then frozen in the laboratory (-10 °C) with one (FTC-1), two (FTC-2), or six (FTC-6) thaw periods (+5 °C). Soils were analyzed for extractable ammonium (NH4-N), water extractable organic carbon (WEOC), carbon dioxide flux (respiration), and total C and N. Extractable NH4-N increased following FTC (all levels), for both horizons. While WEOC concentrations did not change for FTC vs. control, the WEOC in O horizons had a lower SUVA254 in FTC soils compared to control, indicating a stronger microbial influence (i.e., microbial cell lysis) in these soils after FTC. Respiration in O horizon soils decreased post-incubation and did not differ between FTC and Control soils. In the B horizon, however, FTC soils showed greater respiration than Control soils, suggesting that the newly available nutrients may have stimulated microbial activity. In contrast to these results, total C and N remained unaltered by FTC, presumably because the FTC disturbances represented mostly a translocation of C and N from one pool into another, and losses due to respiration were too small to significantly influence the large TC and TN pools. The effect of FTC on NH4-N did not change with FTC frequency, suggesting that a single FTC is sufficient to alter both C and N availability and/or quality, and that additional FTC may not have a significant further
Nitrogen and Carbon cycling data in 10 urban afforestation sites in New York City 2018
The data includes soil microbial processes of carbon (C) and N in 10 afforestation sites in New York City as part of the MillionTreesNYC initiative (MTNYC) of the New York City Department of Parks and Recreation. Long-term research plots were established between 2009-2011 in municipal parks: Alley Pond, Canarsie, Ft. Totten, Clearview, Conference House, Clove Lakes, Marine Park (3 sites), and Pelham Bay. Sites were planted with low (two tree species) and high diversity (six tree species) treatments. More detailed description of sites and MTNYC project is provided by Downey et al. (2021). In 2018, 1 m soil cores were collected from plots at each site and analyzed for microbial biomass C and N, basal respiration, potential net N mineralization and nitrification, denitrification potential, soil inorganic N, and total soil N. Laboratory methods followed those used by Raciti et al. (2011a,b), and Groffman et al. (1999).
Riparian Carbon and Nitrogen Cycling: Influences of Spatial Heterogeneity and Hydrologic Vectors
Terrestrial and aquatic ecosystem ecologists study the same phenomena (e.g., nutrient cycling, energy flow, succession) but they do so within separate conceptual frameworks. Terrestrial frameworks address state factors of climate, organisms, parent material, topography, and time to understand ecosystem processes within a location, but less often consider how ecosystems are connected. Aquatic ecologists, especially those studying flowing waters, emphasize the role of water as a means of propagating processes and materials through space and time. Both terrestrial and aquatic ecosystems contain hydrologic vectors as well as soils or sediments that record the influences of state factors. This dissertation is an investigation of carbon and nitrogen cycling in the stream-riparian corridor of the San Pedro River, a large desert river, and tests the relative effects of soil characteristics and hydrologic vectors. Riparian zones are well suited to such investigations because they are spatially heterogeneous and subject to material and water inputs from multiple hydrologic vectors. Spatially explicit methods showed that flood vectors homogenized soil characteristics and denitrification along a stream reach with frequent overbank floods, whereas soils of a riparian site that was infrequently inundated by floods were heterogeneous. Legacies of previous floods appeared to determine the spatial locations of denitrification at the latter site. At a plot scale, manipulation of precipitation and flood vectors across a gradient of soil types showed that water functioned as an essential resource during the dry season, resulting in increased emissions of trace gases following simulation of floods. Following inundation of riparian soils by several monsoon floods, however, further addition of water appeared to suppress biogeochemical activity by decreasing oxygen availability. Thus desert riparian ecosystems appear to shift seasonally along a terrestrial-aquatic continuum, functioning si
Data from: Prolonged exposure to manure from livestock administered antibiotics decreases ecosystem carbon-use efficiency and alters nitrogen cycling
Microbial communities drive soil ecosystem function but are also susceptible to environmental disturbances. We investigated whether exposure to manure sourced from cattle either administered or not administered antibiotics affected microbially-mediated terrestrial ecosystem function. We quantified changes in microbial community composition via amplicon sequencing, and terrestrial elemental cycling via a stable isotope pulse-chase. Exposure to manure from antibiotic-treated cattle caused: i) changes in microbial community structure; and ii) alterations in elemental cycling throughout the terrestrial system. This exposure caused changes in fungal:bacterial, as well as changes in bacterial community structure. Additionally, exposure to manure from cattle treated with pirlimycin resulted in an approximate two-fold increase in ecosystem respiration of recently fixed-carbon, and a greater proportion of recently-added nitrogen in plant and soil pools compared to the control manure. Manure from antibiotic-treated cattle therefore affects terrestrial ecosystem function via the soil microbiome, causing decreased ecosystem carbon use efficiency, and altered nitrogen cycling.
The origin and diversification of pteropods predate past perturbations in the Earth's carbon cycle
<p>This study examines the taxonomy of pteropods and their divergence time using phylogenomics by incorporating 21 new species and new fossil evidence. In agreement with traditional taxonomy, we recovered the first molecular support for a division between sea butterflies (Thecosomata) and sea angels (Gymnosomata). Molecular dating demonstrated that these two lineages diverged in the early Cretaceous, and that all main pteropod clades, including shelled, partially-shelled and unshelled groups, diverged in the mid to late Cretaceous. This datasets includes the following files: </p> <ul> <li>'pteropods_May18_s7.cali': fossil calibrations used for molecular dating </li> <li>'Concat-Ptero200.phy.gz': reduced alignment with 200 marker genes showing highest support</li> <li>'Concat-Ptero040317.phy.gz': main alignment of 2654 marker genes </li> <li>'OMA-alis.tgz': individual alignments for each marker gene</li> <li>'Ptero200_PBcatgtr.tgz': phylobayes run files on the reduced 200 genes dataset</li> <li>'Ptero040317_examl.tgz': examl run files on the main 2654 markers alignment</li> <li>'pteropods_May18_s7_cir_sb_bd.tgz'z: phylobayes molecular dating run with log-normal model </li> <li>'pteropods_May18_s7_ugam_sb_bd.tgz': phylobayes molecular dating run with UGALM model </li> </ul>
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>
Differential impacts of alternate primary producers on carbon cycling
<p>Disturbance impacts the spatial distribution of primary producers, which can have cascading effects on ecosystem function. The lower-intertidal zone on the rocky shores of the Pacific Northwest is one such place where wave energy creates a mosaic-like distribution between two assemblages: surfgrass (<i>Phyllospadix scouleri</i>) meadows and macroalgal forests dominated by kelp. We simulated wave disturbance by experimentally removing patches of surfgrass monocultures, resulting in a macroalgal assemblage with increased diversity, biomass, and net primary productivity in the following year. While surfgrass had a higher C:N compared to macroalgal assemblages, macroalgal assemblages achieved a higher biomass, fixed carbon at a faster rate, and released more dissolved organic carbon (DOC) during photosynthesis. Thus, despite similar standing amounts of carbon, macroalgal assemblages have increased carbon turnover – from fixation to DOC release. Comparative photophysiology indicated that surfgrasses have a competitive advantage over other macrophytes at low-light levels, allowing them to persist when disturbance is reduced. Unexpectedly, disturbance in this system increased the potential for carbon sequestration when surfgrass monocultures were replaced by diverse macroalgae.</p>
supplementary material for "Analyzing the joint effect of volcanic carbon and sulfur emissions on the marine carbon cycle", for Geochemistry, Geophysics, Geosystems
<p>We provide our LOSCAR output and eruption history data files, along with IPython Jupyter notebook code to plot the various main text and supplementary figures.</p> <p>Please see README.txt for more information.</p> <p> </p>
Biota-mediated carbon cycling – a synthesis of biotic-interaction controls on blue carbon
<p><span>Research on biotic interactions has been a core theme of ecology for over a century. However, despite the obvious role that biota play in the global carbon cycle, effects of biotic interactions on carbon pools and fluxes are poorly understood. Here we develop a conceptual framework that illustrates the importance of biotic interactions in regulating carbon cycling based on a literature review and quantitative synthesis by means of meta-analysis. Our study focuses on blue carbon ecosystems, vegetated coastal ecosystems that function as the most effective long-term CO<sub>2</sub> sinks of the biosphere. We demonstrate that a multitude of mutualistic, competitive and consumer-resource interactions between plants, animals and microbiota exert strong effects on carbon cycling across various spatial scales ranging from the rhizosphere to the landscape scale. Climate-change sensitive abiotic factors modulate the strength of biotic-interaction effects on carbon fluxes, suggesting that the importance of biota-mediated carbon cycling will change under future climatic conditions Strong effects of biotic interactions on carbon cycling imply that biosphere-climate feedbacks may not be sufficiently represented in current Earth system models. Inclusion of new functional groups in these models, and new approaches to simplify species interactions, may thus improve predictions of biotic effects on the global climate.</span></p>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
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.