Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
20
datasets available to search
ShareScore release 0.9.0
Dataset results
20 results for “nitrogen pool”
Inorganic Nitrogen Pools and Tree Composition in Hemlock Removal Experiment at Harvard Forest 2007-2009
This study assessed how the change in leaf litter input and environmental conditions, from that of hemlock stands to earlier successional deciduous stands, will affect inorganic nitrogen availability at the interface of the mineral soil and LFH horizons. In early October 2007 we exchanged 0.5 x 0.5 m "loaves" of LFH horizons from hemlock and deciduous stands between forest types, while keeping control plots in the original forest stands. Inorganic nitrogen outputs from the litter loaves were monitored for 20 months using ion-exchange resins, removing and replacing the resins three times at 5 - 8 month intervals. Results indicated that there were differences between the control hemlock and deciduous loaves - NO3 and NH4 availability were higher in deciduous stands. However, the transfer of litter loaves from one stand type to another did not reveal changes in nutrient availability due to a shift in habitat. Rather, the methodology of moving litter loaves to a new site caused greater changes in nutrient availability, particularly over the summer months.
Effects of permafrost thaw on nitrogen availability and plant-soil interactions in a boreal Alaskan lowland: VI - Soil Nitrogen Pools
This dataset examines shifts in soil N and extractable soil pore water chemistry along a lowland boreal permafrost thaw chronosequence. Data was collected in 2013 at the APEX Beta and forested study plots, located adjacent to the BNZ experimental forest. Measured parameters include: dissolved inorganic N, dissolved organic N, free amino acids, total dissolved N, C:N of soil material, soil bulk density, soil N concentration, soil C concentrations, volumetric soil moisture. Soil pore water samples were collected every three to four weeks from late June to late September, 2013 for a total of five sampling events, while soil cores were collected in late July 2013 for physical characterstics and soil C and N concentrations.
PCN01 Plant and soil carbon and nitrogen pool data from the Belowground Plot Experiment at Konza Prairie
Data describe the carbon and nitrogen pools in combustible aboveground litter, and in shoots, roots, litter, and soil at the end of the growing season at the Belowground Plot Experiment in 2021.
Data of soil mineralization rates, carbon and nitrogen pools in a rainfed almond crop and an irrigated mandarin crop derived from Diverfarming project
Data of soil carbon and nitrogen dynamics, auxiliary data and methods metadata from a rainfed almond crop and an irrigated mandarin crop studied in Diverfarming project
The effects of nitrogen and warming on inorganic nitrogen pool and production rates in arctic and boreal ecosystems: inorganic nitrogen transformation during a 3-month laboratory incubation
We incubated (2006) northern Alaskan soils (boreal and tundra) at two temperatures (5 degC and 15 degC) and two levels of nitrogen addition (with and without) to directly test for nitrogen limitation of inorganic nitrogen production rate and explore the interaction between temperature and nitrogen limitation. Over the 3-month laboratory incubation, we measured initial extratable inorganic nitrogen and inorganic nitrogen production rates from organic and mineral soils from four different ecosystem types (boreal burned, boreal unburned, moist acidic, moist non-acidic). To charactarize the soils, we also measured total C, total N, microbial biomass, isotopes values (delta 13, delta14), total free amino acid, and total soluble protein.
Estimates of Forest Structure, Successional Trajectory, and Carbon and Nitrogen Pools Across the 2004 Wildfire Network Sites
This dataset contains stand structure and ecosystem carbon and nitrogen pool data measured in 2005 and 2006. It includes in situ measurements of post-fire residual above and belowground carbon and nitrogen pools, reconstructions of pre-fire pools and estimates of losses. Successional trajectory was calculated from measurements of tree seedling density and biomass made in 2017.
Forest floor Carbon & Nitrogen pools at the Coweeta LTER Terrestrial Gradient Sites, Coweeta Hydrological Laboratory, Otto, NC.
This project is part of a larger examination of site productivity along an elevational gradient. Forest floor weights, %C, and %N were measured at each of the five terrestrial gradient plots located along an elevational gradient at Coweeta Hydrologic Lab, Otto, NC.
Interactive effects of hemlock mortality and nitrogen availability on nutrient pools and fluxes in the southern Appalachian mountains from 2009 to 2011
The impacts of exotic insects and pathogens on forest ecosystems are increasingly recognized, yet the factors influencing the magnitude of effects remain poorly understood. Eastern hemlock (Tsuga canadensis) exerts strong control on nitrogen (N) dynamics, and its loss due to infestation by the hemlock woolly adelgid (Adelges tsugae) is expected to affect nutrient dynamics in impacted stands. We evaluated the potential for variation in N availability to influence the magnitude of effects of hemlock decline on N and P dynamics in mixed hardwood stands. We measured N and P pools and fluxes at three elevations (low, mid, high) subjected to increasing atmospheric N deposition where hemlock was declining or absent (as reference) in western North Carolina. Specifically, this study was conducted at Coweeta Hydrologic Laboratory, a USDA Forest Service experimental forest in the southern Appalachian mountains of western North Carolina, USA from October 2009 to February 2011.
Data from: Accounting for disturbance history in models: using remote sensing to constrain carbon and nitrogen pool spin‐up
Disturbances such as wildfire, insect outbreaks, and forest clearing, play an important role in regulating carbon, nitrogen, and hydrologic fluxes in terrestrial watersheds. Evaluating how watersheds respond to disturbance requires understanding mechanisms that interact over multiple spatial and temporal scales. Simulation modeling is a powerful tool for bridging these scales; however, model projections are limited by uncertainties in the initial state of plant carbon and nitrogen stores. Watershed models typically use one of two methods to initialize these stores: spin-up to steady state, or remote sensing with allometric relationships. Spin-up involves running a model until vegetation reaches equilibrium based on climate; this approach assumes that vegetation across the watershed has reached maturity and is of uniform age, which fails to account for landscape heterogeneity and non-steady state conditions. By contrast, remote sensing, can provide data for initializing such conditions. However, methods for assimilating remote sensing into model simulations can also be problematic. They often rely on empirical allometric relationships between a single vegetation variable and modeled carbon and nitrogen stores. Because allometric relationships are species- and region-specific, they do not account for the effects of local resource limitation, which can influence carbon allocation (to leaves, stems, roots, etc.). To address this problem, we developed a new initialization approach using the catchment-scale ecohydrologic model RHESSys. The new approach merges the mechanistic stability of spin-up with the spatial fidelity of remote sensing. It uses remote sensing to define spatially explicit targets for one, or several vegetation state variables, such as leaf area index, across a watershed. The model then simulates the growth of carbon and nitrogen stores until the defined targets are met for all locations. We evaluated this approach in a mixed pine-dominated watershed in central Idaho, and a chaparral-dominated watershed in southern California. In the pine-dominated watershed, model estimates of carbon, nitrogen, and water fluxes varied among methods, while the target-driven method increased correspondence between observed and modeled streamflow. In the chaparral watershed, where vegetation was more homogeneously aged, there were no major differences among methods. Thus, in heterogeneous, disturbance-prone watersheds, the target-driven approach shows potential for improving biogeochemical projections.
Soil labile nitrogen pools for the Carbon action ACA experiment for year 2022 (4th year of experiment)
<p>This dataset describes labile nitrogen pools following four years of carbon farming experiments in the Carbon Action ACA dataset of 20 farms. The soils were sampled in July and analyzed for Total N, ISNT-N, Autoclave citrate protein -N, Water soluble organic N, inorganic N and potentially mineralizable N. </p> <p>The analysis is published open access in Soil Use And Management. https://doi.org/10.1111/sum.12930</p>
Depth-dependent effects of Ericoid Mycorrhizal shrubs on soil carbon and nitrogen pools are accentuated under Arbuscular Mycorrhizal Trees
<p>Plant mycorrhizal associations influence the accumulation and persistence of soil organic matter and could therefore shape ecosystem biogeochemical responses to global changes that are altering forest composition. For instance, arbuscular mycorrhizal (AM) tree dominance is increasing in temperate forests, and ericoid mycorrhizal (ErM) shrubs can respond positively to canopy disturbances. Yet how shifts in the co-occurrence of trees and shrubs with different mycorrhizal associations will affect soil organic matter pools remains largely unknown. We examine the effects of ErM shrubs on soil carbon and nitrogen stocks and indicators of microbial activity at different depths across gradients of AM versus ectomycorrhizal (EcM) tree dominance in three temperate forest sites. We find that ErM shrubs strongly modulate tree mycorrhizal dominance effects. In surface soils, ErM shrubs increase particulate organic matter accumulation and weaken the positive relationship between soil organic matter stocks and indicators of microbial activity. These effects are strongest under AM trees that lack fungal symbionts that can degrade organic matter. In subsurface soil organic matter pools, by contrast, tree mycorrhizal dominance effects are stronger than those of ErM shrubs. Ectomycorrhizal tree dominance has a negative influence on particulate and mineral-associated soil organic matter pools, and these effects are stronger for nitrogen than for carbon stocks. Our findings suggest that increasing co-occurrence of ErM shrubs and AM trees will enhance particulate organic matter accumulation in surface soils by suppressing microbial activity while having little influence on mineral-associated organic matter in subsurface soils. Our study highlights the importance of considering interactions between co-occurring plant mycorrhizal types, as well as their depth-dependent effects, for projecting changes in soil carbon and nitrogen stocks in response to compositional shifts in temperate forests driven by disturbances and global change.</p>
Depth-dependent effects of Ericoid Mycorrhizal shrubs on soil carbon and nitrogen pools are accentuated under Arbuscular Mycorrhizal Trees
Open the record for dataset details and reuse information.
Data from: Accounting for disturbance history in models: using remote sensing to constrain carbon and nitrogen pool spin‐up
Open the record for dataset details and reuse information.
Data from: Effects of straw return on soil carbon and nitrogen pools and on the diversity of microbial structures and functions
Open the record for dataset details and reuse information.
Wildfire and extreme rainfall reduce soil carbon and nitrogen pools in a semiarid shrubland ecosystem
Open the record for dataset details and reuse information.
Utilizing woody materials for fungal-based management of soil nitrogen pools
<p><span>Application of nitrogen fertilizers to reach high crop production is common practice. However, this can come with an environmental cost, irrespectively of the synthetic or organic origin of the nitrogen fertilizer. Intensively managed soils often fail to retain excess nitrogen, which leads to contamination of ground- and surface water. Next to abiotic factors like soil texture, limited nitrogen retention is ascribed to low activity of saprotrophic fungi. It has been shown that amendment of arable soils with cellulose-rich materials can effectively stimulate resident saprotrophic fungi. The current study investigated the relationship between fungal dynamics (biomass, composition) and nitrogen immobilization-remobilization dynamics upon soil amendment with woody materials Mineral nitrogen pools, ergosterol and ITS2 amplicon sequences were analyzed during a 6-months pot experiment. Carbon-rich amendments included sawdusts of deciduous (beech, willow) and coniferous (Douglas fir, larch) tree species, beech wood chips, wheat straw and combinations of these materials. Excess nitrogen derived from addition of either mineral or organic fertilizer.</span></p> <p><span>Deciduous wood sawdust resulted in rapid stimulation of fungal biomass, mainly consisting of saprotrophic Sordariomycetes. This was accompanied by a reduction in the mineral N pool equivalent to 24–60 kg N ha<sup>-1 </sup>for four to over six months. The intensity of nitrogen immobilization depended on sawdust application rate and the type of fertilizer. Single amendments of coniferous sawdust and beech wood chips had minor effects, but led to prolonged nitrogen retention when combined with beech sawdust. </span></p> <p><span>Our conclusion is that, fungus-stimulating woody soil amendments have great potential to increase nitrogen use efficiency in arable soils. </span></p>
Utilizing woody materials for fungal-based management of soil nitrogen pools
Open the record for dataset details and reuse information.
Data from: Nutrient availability controls the impact of mammalian herbivores on soil carbon and nitrogen pools in grasslands
Open the record for dataset details and reuse information.
Patterns of nitrogen and phosphorus pools in terrestrial ecosystems in China
<p>Recent increases in atmospheric carbon dioxide (CO<sub>2</sub>) and temperature relieve the limitation of these two on terrestrial ecosystem productivity, while nutrient availability constrains the increasing plant photosynthesis more intensively. Nitrogen (N) and phosphorus (P) are critical for plant physiological activities and consequently regulates ecosystem productivity. Here, for the first time, we mapped N and P densities of leaves, woody stems, roots, litter and soil in forest, shrubland and grassland ecosystems across China, based on an intensive investigation in 4175 sites, covering species composition, biomass, and nutrient concentrations of different tissues of living plants, litter and soil. Forest, shrubland and grassland ecosystems in China stored 7665.62 × 10<sup>6</sup> Mg N, with 7434.53 × 10<sup>6</sup> Mg (96.99%) fixed in soil (to a depth of one metre), and 32.39 × 10<sup>6</sup> Mg (0.42%), 59.57 × 10<sup>6</sup> Mg (0.78%), 124.21 × 10<sup>6</sup> Mg (1.62%) and 14.92 × 10<sup>6</sup> Mg (0.19%) in leaves, stems, roots and litter, respectively. The forest, shrubland and grassland ecosystems in China stored 3852.66 × 10<sup>6</sup> Mg P, with 3821.64 × 10<sup>6</sup> Mg (99.19%) fixed in soil (to a depth of one metre), and 3.36 × 10<sup>6</sup> Mg (0.09%), 14.06 × 10<sup>6</sup> Mg (0.36%), 11.47 × 10<sup>6</sup> Mg (0.30%) and 2.14 × 10<sup>6</sup> Mg (0.06%) in leaves, stems, roots and litter, respectively. Our estimation showed that N pools were low in northern China except Changbai Mountains, Mount Tianshan and Mount Alta, while relatively higher values existed in eastern Qinghai-Tibetan Plateau and Yunnan. Southern China held quite small P pools, which may limit some plant-related process. P densities in plant organs were higher in the North and East China, while soil P density was higher in the South and West China. These patterns of N and P densities could potentially improve existing earth system models and large-scale researches on ecosystem nutrients.</p>
Patterns of nitrogen and phosphorus pools in terrestrial ecosystems in China
Open the record for dataset details and reuse information.
ScienceDex guides
Understand access before you commit
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.