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79 results for “nutrient concentration”

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dryad36/100

Data for: Relatively rare root endophytic bacteria drive plant resource allocation patterns and tissue nutrient concentration in unpredictable ways

Premise of Study Plant endophytic bacterial strains can influence plant traits such as leaf area and root length. Yet, the influence of more complex bacterial communities in regulating overall plant phenotype is less explored. Here, we conducted two complementary experiments to test if we can predict plant phenotype response to changes in microbial community composition. Methods In the first study, we inoculated a single genotype of Populus deltoideswith individual root endophytic bacteria and measured plant phenotype. Next, single inoculation data were used to predict phenotypic traits in mixed three-member community inoculations, which we tested in the second experiment. Key Results When in isolation, each bacterial endophyte significantly but weakly altered plant phenotype relative to non-inoculated plants. In mixture, bacterial strain BurkholderiaBT03, constituted at least 98% of community relative abundance. Yet, plant resource allocation and tissue nutrient concentrationswere disproportionately influenced by Pseudomonas sp.GM17, GM30, and GM41. We found a 10% increase in leaf mass fraction and a 11% decrease in root mass fraction when replacingPseudomonas GM17 with GM41 in communities containing both Pseudomonas GM30 and BurkholderiaBT03. Conclusions Our results indicate that interactions among endophytic bacteria may drive plant phenotype over the contribution of each strain individually. Additionally, we have shown that low-abundant strains contribute to plant phenotype challenging the assumption that the dominant strains will drive plant function.

opencc-zeroJul 2020View details →

zenodo36/100

TN398 Surface Nutrient Concentrations

This dataset contains nitrate, nitrite, phosphate, ammonium, and silicate concentrations.  Water samples were collected on the UW School of Oceanography undergraduate senior thesis cruise via Niskin bottles mounted to a CTD rosette.  The cruise transect was from Honolulu to San Diego. The samples were processed at the Marine Chemistry Laboratory at UW.

opencc-by-4.0Sep 2022View details →

zenodo36/100

Morphometrics and nutrient concentration of eastern oysters (Crassostrea virginica) sampled from Chesapeake Bay, USA

Acknowledgements Ward Slacum and Olivia Caretti from the Oyster Recovery Partnership for providing the support and resources to compile the initial oyster BMP dataset and maintenance.  Background Information The Chesapeake Bay Program (CBP) approved the use of eastern oyster (Crassostrea virginica) aquaculture as a nitrogen and phosphorus reduction best management practice in December 2016. The CBP decision was based on the recommendations of the Oyster Best Management Practice Expert Panel. The approved BMP report, “Panel Recommendations on the Oyster BMP Nutrient and Suspended Sediment Reduction Effectiveness Determination Decision Framework and Nitrogen and Phosphorus Assimilation in Oyster Tissue Reduction Effectiveness for Oyster Aquaculture Practices” is available here: <a href="https://d18lev1ok5leia.cloudfront.net/chesapeakebay/documents/Oyster_BMP_1st_Report_Final_Approved_2016-12-19.pdf">https://d18lev1ok5leia.cloudfront.net/chesapeakebay/documents/Oyster_BMP_1st_Report_Final_Approved_2016-12-19.pdf</a> And a summary fact sheet about the report and the panel’s findings is available here: <a href="https://oysterrecovery.org/wp-content/uploads/June_2018-FINAL-bmp-fact-sheet-1.pdf">https://oysterrecovery.org/wp-content/uploads/June_2018-FINAL-bmp-fact-sheet-1.pdf</a> The panel’s recommendations were based on an analysis of two datasets: 1) available literature for eastern oyster tissue nitrogen and phosphorus concentrations (%) across the Northeast region of the United States, and 2) available literature for the relationship between shell height (mm) vs. tissue dry weight (g) for eastern oysters sampled within Chesapeake Bay, USA. The nitrogen and phosphorus concentration datasets were relatively small, and the data were published in the report. The dataset describing the relationship between oyster shell height vs. tissue dry weight was much larger (n = 6,816). The report contains summary statistics and visual representations of the data, but the data themselves were not publicly released. A second report was released by the Oyster Best Management Practice Expert Panel in 2023, with additional analysis of an expanded dataset for the relationship between oyster shell height vs. tissue dry weight (n = 10,786) and a new dataset for the relationship between oyster shell height vs. shell dry weight to support the development of an oyster restoration BMP. The second BMP report, “Nitrogen and Phosphorus Reduction Associated with Harvest of Hatchery-Produced Oysters and Reef Restoration: Assimilation and Enhanced Denitrification” is available here: <a href="https://d18lev1ok5leia.cloudfront.net/chesapeakebay/documents/Oyster-BMP-Second-Report_Approved_with_Minutes.pdf">https://d18lev1ok5leia.cloudfront.net/chesapeakebay/documents/Oyster-BMP-Second-Report_Approved_with_Minutes.pdf</a> The second report contains summary statistics and visual representations of the data, but the data themselves were not publicly released. Data Description This repository contains 77% of the data (n = 8,395) used by the Chesapeake Bay Program’s Oyster Best Management Practice Expert Panel to develop its recommendations for both the 2016 first report and the 2023 second report. Some of the data in this repository were previously published in the peer-reviewed literature as summary statistics, but the raw data were not archived. The remaining data are either not currently available or are published in the gray literature. Two datasets that were used in the Expert Panel analysis are not included in this repository, as the data are unpublished with the data owners intending to publish these data in the future. The repository is organized with individual oyster samples as rows and a combination of numerical and categorical information as columns. Each row/sample in the repository contains data on oyster shell height (mm) and oyster dry weight (g), data source, and sample collection location information. Location information is presented across columns with different levels of spatial resolution. This repository also contains additional information provided by scientists when available, such as nitrogen, carbon, or phosphorus concentration, details about the oyster source and growth conditions, and sampling time (e.g., season/date/year).

opencc-by-4.0May 2024View details →

zenodo36/100

Morphometrics and nutrient concentration of farmed eastern oysters (Crassostrea virginica) from the US Northeast Region

Acknowledgements This work was supported by the NOAA Fisheries Northeast Fisheries Science Center and the NOAA Fisheries Office of Aquaculture. Thanks to Marta Gomez-Chiarri, PG Harris, Mark Luckenbach, and Christine Thompson for sharing data, although these data were not included in the final repository. Background Information The removal of excess nitrogen from eutrophic environments is an ecosystem service provided by shellfish aquaculture that is well described in the literature (Lindahl et al., 2005; Rose et al., 2014; Petersen et al., 2014; Clements and Comeau, 2019). Nitrogen removal associated with shellfish farms can occur via three mechanisms: the assimilation of nitrogen into tissue and shell, which is removed from the waterbody when animals are harvested; the enhancement of sediment denitrification through biodeposit production on farms; and the long-term burial of biodeposits. A robust calculation of the nitrogen removed at shellfish harvest has been previously published using relatively simple metrics: the nitrogen concentration of tissue/shell, the number and mean size of animals harvested, and a conversion of animal size to tissue and shell dry weight (Reichert-Nguyen et al., 2016; Clements and Comeau, 2019). The quantity of nitrogen removed at shellfish harvest has been previously predicted with high confidence, which has led to the integration of oyster and clam aquaculture into nutrient management programs at the local and estuary scale in the United States (Town of Mashpee, 2015; Reichert-Nguyen et al., 2016; Reitsma et al., 2017). The data in this repository were compiled with the intention of expanding the geographic scope of calculation of nitrogen removal associated with harvested eastern oysters (Crassostrea virginica), and to evaluate variation in this ecosystem service across common cultivation practices and ploidy. Data were obtained from sampling locations across the US from the state of North Carolina north to the state of Maine. Data are included for both diploid and triploid oysters, and for three common styles of cultivation: oysters grown on bottom without the use of aquaculture gear, oysters grown in bottom cages, and oysters grown in floating gear at the sea surface. Data curation was undertaken to obtain a dataset that most closely reflects on-farm conditions as possible. The highest priority was to find data collected from working oyster farms, and a second priority was to identify data collected by scientists who employed common cultivation practices in their research studies. In one state within the region (Rhode Island) we were unable to locate data that fit the previous description, and instead have included data from wild oysters from waterbodies that have oyster farms. This data set was used to support the development of the Aquaculture Nutrient Removal Calculator (ANRC,<a href="https://connect.fisheries.noaa.gov/ANRC/">https://connect.fisheries.noaa.gov/ANRC/</a>), a tool designed for use by both shellfish farmers and managers within the aquaculture permit review process. The ANRC is a publicly available, simple online tool that was developed in direct response to feedback from aquaculture resource managers. The ANRC accurately predicts harvest-based nitrogen removal from an eastern oyster farm located within the geographic range of North Carolina to Maine, USA. We have taken an adaptive management approach to tool development, basing our tool on current best available scientific information, with the intention of maintaining and updating this tool when new information and data become available in the future. Data Description This repository contains information on morphometrics and nitrogen concentration of tissue and shell for eastern oysters sampled within the US geographic region spanning the states of North Carolina to Maine. Some of the data in this repository (6 of 10 sources) were previously published as summary statistics in the peer-reviewed literature, but the raw data included here were not archived. Three datasets were not previously published in raw or summary form. One dataset is publicly available in a technical report. The repository is organized with individual oysters as rows and numerical/categorical information associated with those oyster samples as columns. Each sample in the repository contains data on oyster shell height (mm), tissue dry weight (g), data source, ploidy, cultivation practice, and location of sample collection. The repository also contains additional information provided by data sources as available, such as shell dry weight, nitrogen, carbon, sampling date, oyster stock, and other morphometric measurements. References Clements, J.C., Comeau, L.A., 2019. Nitrogen removal potential of shellfish aquaculture harvests in eastern Canada: A comparison of culture methods. Aquaculture Reports 13, 100183. Lindahl, O., Hart, R., Hernroth, B., Kollberg, S., Loo, L.-O., Olrog, L., Rehnstam-Holm, A.-S., Svensson, J., Svensson, S., Syversen, U., 2005. Improving marine water quality by mussel farming - a profitable solution for Swedish society. Ambio 34, 129-136. Petersen, J.K., Hasler, B., Timmermann, K., Nielsen, P., Tørring, D.B., Larsen, M.M., Holmer, M., 2014. Mussels as a tool for mitigation of nutrients in the marine environment. Marine Pollution Bulletin 82, 137-143. Reichert-Nguyen, J., Cornwell, J., Rose, J., Kellogg, L., Luckenbach, M., Bricker, S., Paynter, K., Moore, C., Parker, M., Sanford, L., Wolinski, B., Lacatell, A., Fegley, L., Hudson, K., French, E., Slacum, W., 2016. Panel recommendations on the oyster BMP nutrient and suspended sediment reduction effectiveness determination decision framework and nitrogen and phosphorus assimilation in oyster tissue reduction effectiveness for oyster aquaculture practices, Report to the Chesapeake Bay Program. Available online at <a href="https://www.oysterrecovery.org/wp-content/uploads/2017/01/Oyster-BMP-1st-Report_Final_Approved_2016-12-19.pdf">https://www.oysterrecovery.org/wp-content/uploads/2017/01/Oyster-BMP-1st-Report_Final_Approved_2016-12-19.pdf.</a> Reitsma, J., Murphy, D.C., Archer, A.F., York, R.H., 2017. Nitrogen extraction potential of wild and cultured bivalves harvested from nearshore waters of Cape Cod, USA. Marine Pollution Bulletin 116, 175-181. Rose, J.M., Bricker, S.B., Tedesco, M.A., Wikfors, G.H., 2014. A Role for Shellfish Aquaculture in Coastal Nitrogen Management. Environmental Science & Technology 48, 2519-2525. Rose J.M.,, Morse, R., and Schillaci, C. 2024. Development and application of an online tool to quantify nitrogen removal associated with harvest of cultivated eastern oysters. PLoS ONE 19(9): e0310062. https://doi.org/10.1371/journal.pone.0310062 Town of Mashpee Sewer Commission, 2015. Comprehensive watershed nitrogen management plan, Town of Mashpee, Available online at http://www.mashpeewaters.com/documents.html.

opencc-by-4.0Jun 2024View details →

dryad36/100

Data from: Microbial population dynamics decouple growth response from environmental nutrient concentration

To explore the diversity of microbial growth responses, we have compiled 247 measurements of half-saturation concentrations K and maximum growth rates gmax from previously-published studies (see Methods). The data includes a wide range of resources, including sources of carbon, nitrogen, phosphorus, metals, and vitamins, with phosphate, glucose, and nitrate having the largest number of measurements due to their emphasis in marine and laboratory systems. Organisms include prokaryotes and eukaryotes as well as autotrophs and heterotrophs. This data has been analyzed in a companion research article. For data plots and a discussion of results, please refer to: <div class="csl-bib-body"> <div class="csl-entry">Fink, Justus Wilhelm, Noelle A. Held, and Michael Manhart. "Microbial Population Dynamics Decouple Growth Response from Environmental Nutrient Concentration." Proceedings of the National Academy of Sciences 120, no. 2 (January 10, 2023). <a href="https://doi.org/10.1073/pnas.2207295120">https://doi.org/10.1073/pnas.2207295120</a>.</div> </div>

opencc-zeroJan 2023View details →

dryad36/100

Data from: Microbial population dynamics decouple growth response from environmental nutrient concentration

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publicJan 2023View details →

dryad36/100

Data for: Relatively rare root endophytic bacteria drive plant resource allocation patterns and tissue nutrient concentration in unpredictable ways

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publicJul 2020View details →

dryad36/100

Phylogeny overrides environmental effects in explaining leaf and root nutrient concentrations in Fabaceae

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publicAug 2025View details →

edi36/100

Weekly Soil Solution Nutrient Concentrations in Bonanza Creek Experimental Forest for the summers of 1985-1988

The chemical composition of soil solution reflects solubility and ion exchange equilibria between a number of physical and biological components of the soil. The objectives of this study were to document soil solution chemistry for representative phases of the primary successional sequence on the Tanana River floodplain and to assess the effect of vegetation clearing in these sites. Soil solution samples were collected on a weekly basis using porous cup soil solution samplers located at 20, 50, and 150 cm below the soil surface. In addition, ground water and river water samples were collected at several sites which represented the successional stages typical of the Tanana River floodplain of interior Alaska. Magnesium, HCO3, Cl, Na, K, NO3, and PO4 showed the highest concentrations in the 50 cm layer at each site. Manganese, Fe, and Zn showed highest concentrations at the ground water level. Aluminum, and Ca showed decreasing concentrations with depth from the surface. Silicon displayed no specific depth trends. Ammonium was the only ion which was more concentrated in river water than in soil solution. Soil solution pH tended to show no specific depth trends. Conductivity of the soil solution was generally lower at deeper depths and was much lower in the river water. Sulfate, potassium, calcium, and manganese decreased in concentration from the early successional stages to the later successional stages, although some year to year variability did occur. All chemical parameters except zinc displayed at least one significant change in concentration due to vegetation clearing. These differences can be summarized broadly as effects on non-biologically cycled nutrients in the open shrub willow stage (III) and changes in the biological cycling of nutrients in the poplar-alder and mature white spruce stages (V and VIII, respectively). The stage V sites displayed the greatest response to treatment. In general the Stage V-A sites displayed significant increases, as a result o

openOpenAug 1991View details →

edi36/100

Nutrient concentrations in fertilized and unfertilized dune plots on Hog Island at the Virginia Coast Reserve 1990-1991

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openCustomDec 2003View details →

dryad32/100

Data from: Dung beetle activity had no positive effect on nutrient concentration or performance of established rainforest seedlings

All five datasets from this study correspond to field observations collected for seedlings of six tree species (Brosimum alicastrum, Calophyllum brasiliense, Cymbopetalum baillonii, Diospyros digyna, Omphalea oleifera and Poulsenia armata) in a tropical rainforest (Los Tuxtlas, Mexico). We estimated the concentrations of foliar nitrogen (N) and phosphorus (P), resource allocation (the ratio of biomass allocated to shoot vs root), seedling survival, and growth. Experimental seedlings were subject to three treatment levels: (a) feces added and beetles active, (b) feces added and beetles excluded, and (c) no feces added (and consequently no beetles active). We analyzed data at two levels: community (all plant species together) and individual species. For resource allocation (ESM_Dataset1_RootShoot) we weighed aerial parts (stem and leaves) and roots, separately, and calculated the root/shoot biomass ratio for each seedling. For foliar nutrients (ESM_Dataset2_FoliarNutrients) we obtained N and P concentrations using a Kjeldahl wet digestion and colorimetric analysis; for the analyses four outlier values were removed (for Brosimum one P value; for Calophyllum two P values and one N value). We analyzed foliar nutrients for all plant species. In the case of seedling survival (ESM_Dataset3_Survival) we registered seedling survival weekly during six weeks for Cymbopetalum, and during 26 weeks for the other five species. The response variable was the number of days elapsed until death; seedlings alive by the end of the experiment were included as right-censored data. For seedling growth in height (ESM_Dataset4_GrowthHeight; measured in all plant species except Cymbopetalum) we measured seedling height to the nearest centimeter every four or five weeks during 26 weeks. For this variable we calculated net growth in height (final height minus initial height). Finally, for the growth in the number of leaves (ESM_Dataset5_GrowthLeaves; measured in all plant species except Cymbopetalum) we counted the number of leaves lost and number of new leaves, every four or five weeks during 26 weeks; the response variable was the net growth in the number of leaves (final number of leaves minus initial number of leaves). All analyses were conducted in R. Detailed information about dataset structure and contents can be found in file ESM_Metadata.

opencc-zeroJan 2021View details →

dryad32/100

Data from: Foliar nutrient concentrations and resorption efficiency in plants of contrasting nutrient-acquisition strategies along a 2-million year dune chronosequence

1. Long-term pedogenesis leads to important changes in the availability of soil nutrients, especially nitrogen (N) and phosphorus (P). Changes in the availability of micronutrients can also occur, but are less well understood. We explored whether changes in leaf nutrient concentrations and resorption were consistent with a shift from N to P limitation of plant productivity with soil age along a >2-million year dune chronosequence in south-western Australia. We also compared these traits among plants of contrasting nutrient-acquisition strategies, focusing on N, P and micronutrients. 2. The range in leaf [P] for individual species along the chronosequence was exceptionally large for both green (103–3000 μg P g-1) and senesced (19–5600 μg P g-1) leaves, almost equalling that found globally. From the youngest to the oldest soil, cover-weighted mean leaf [P] declined from 1840 to 228 μg P g-1, while P-resorption efficiency increased from 0% to 79%. All species converged towards a highly conservative P-use strategy on the oldest soils. 3. Declines in cover-weighted mean leaf [N] with soil age were less strong than for leaf [P], ranging from 13.4 mg N g-1 on the youngest soil to 9.5 mg N g-1 on the oldest soil. However, mean leaf N-resorption efficiency was greatest (45%) on the youngest, N-poor soils. Leaf N:P ratio increased from 8 on the youngest soil to 42 on the oldest soil. 4. Leaf zinc (Zn) concentrations were low across all chronosequence stages, but mean Zn-resorption efficiency was greatest (55–74%) on the youngest calcareous dunes, reflecting low Zn availability at high pH. 5. N2-fixing species had high leaf [N] compared with other species. Non-mycorrhizal species had very low leaf [P] and accumulated Mn across all soils. We surmise that this reflects Mn solubilisation by organic acids released for P acquisition. 6. Synthesis. Our results show community-wide variation in leaf nutrient concentrations and resorption that is consistent with a shift from N to P limitation during long-term ecosystem development. High Zn resorption on young calcareous dunes supports the possibility of micronutrient co-limitation. High leaf [Mn] on older dunes suggests the importance of carboxylate release for P acquisition. Our results show a strong effect of soil nutrient availability on nutrient-use efficiency, and reveal considerable differences among plants of contrasting nutrient-acquisition strategies.

opencc-zeroDec 2012View details →

dryad32/100

Data from: Fertilizer application effects on grain and storage root nutrient concentration

Fertilizer application can affect nutrient concentrations of edible plant products. Data from 70 crop-nutrient response trials conducted in Mali, Niger, Nigeria, and Tanzania were used to evaluate nutrient application effects on nutrient concentrations for grain of five pulse and five cereal crops and for storage roots of cassava (Manihot esculenta L.). Treatments per trial were ≥12 but this study was limited to: no fertilizer applied; macronutrients applied (NPK or PK); and the macronutrient treatment plus Mg, S, Zn, and B applied (MgSZnB). Dried grain or cassava flour samples were analyzed for concentrations of all essential soil nutrients except for Ni and Cl. Concentrations of N and K were positively correlated with concentrations of most other nutrients. The concentrations were relatively low overall for cowpea (Vigna unguiculata L.) and pigeonpea (Cajanus cajan L.) compared with other pulse crops and for maize (Zea mays L.) compared with other cereal crops. Application of NPK or PK had little effect on nutrient concentrations except for increased mean cereal grain concentrations for N, Ca, Mg, S, Zn, Cu, and B. Bean (Phaseolus vulgaris L.), maize and rice (Oryza sativa L.) grain concentrations were reduced by MgSZnB for N, K, S, Cu, Mn, and B. There were no or inconsistent effects of MgSZnB on other crop-nutrient concentrations. Nutrient concentrations are not reduced by NPK for non-legumes or PK for pulses but MgSZnB often reduced bean and cereal nutrient concentrations with greater reductions for immobile compared with mobile nutrients.

opencc-zeroDec 2017View details →

dryad32/100

Data from: The activity of dung beetles increases foliar nutrient concentration in tropical seedlings

Dung beetles are extensively used as a focal taxon in tropical forests. Yet, information for most of their ecological functions comes from other systems. We present results from a field experiment in a tropical rainforest showing that dung beetle activity increases foliar phosphorus concentration in seedlings of the tree Brosimum lactescens. Our results open new lines of research to assess the multiple effects that dung beetles may have on rainforest plants.

opencc-zeroDec 2015View details →

zenodo32/100

Figure S1: Nutrient concentration of lettuce (Lactuca sativa 'Rex') plants grown at different total incident light levels in deep water culture hydroponics. Lines show multiple regression analysis results, indicating no significant interactions. Each data point represents one plant. N = nitrogen, P = phosphorus, K = potassium, Ca = calcium, Mg = magnesium, S = sulfur, B = boron, Cu = copper, Fe = iron, Mn = manganese, and Zn = zinc.

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opencc-by-4.0Mar 2024View details →

dryad32/100

Nutrient concentrations, loading, and N:P stoichiometry (1983 - 2020) and impacts in Flathead Lake (Montana, USA)

Considerable attention is given to absolute nutrient levels in lakes, rivers, and oceans but less is paid to their relative concentrations, their N:P stoichiometry, and to the consequences of imbalanced stoichiometry. Here we report 38 years of nutrient dynamics in Flathead Lake, a large oligotrophic lake in Montana (USA), and its inflows. While nutrient levels were low, the lake had sustained high total N : total P ratios (TN:TP: 60-90:1 molar) throughout the observation period. N and P loading to the lake as well as loading N:P ratio varied considerably among years but showed no systematic long-term trend. Surprisingly, TN:TP ratios in river inflows were consistently lower than in the lake, suggesting that forms of P in riverine loading are removed preferentially to N. In-lake processes, such as differential sedimentation of P relative to N or accumulation of fixed N in excess of denitrification, likely also operate to maintain the lake's high TN:TP ratios. Regardless of causes, the lake's stoichiometric imbalance is manifested in P limitation of phytoplankton growth during early and mid-summer, resulting in high C:P and N:P ratios in suspended particulate matter that propagate P limitation to zooplankton. Finally, the lake's imbalanced N:P stoichiometry appears to raise the potential for aerobic methane production via metabolism of phosphonate compounds by P-limited microbes. These data highlight the importance of not only absolute N and P levels in aquatic ecosystems but also their stoichiometric balance and call attention to potential management implications of high N:P ratios.

opencc-zeroJun 2022View details →

ClinicalTrials.gov32/100

Short Term Response of Breast Milk Micronutrient Concentrations to a Lipid Based Nutrient Supplement in Guatemalan Women

ClinicalTrials.gov study NCT02464111. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →

dryad32/100

Data from: The activity of dung beetles increases foliar nutrient concentration in tropical seedlings

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publicJun 2016View details →

dryad32/100

Data from: Foliar nutrient concentrations and resorption efficiency in plants of contrasting nutrient-acquisition strategies along a 2-million year dune chronosequence

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publicNov 2014View details →

dryad32/100

Fluctuated water depth with high nutrient concentrations promote the invasiveness of Wedelia trilobata in wetland

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publicDec 2019View details →

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Allen Brain Atlas

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Last verified 2026-04-30Open record

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Last verified 2026-04-30Open record

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Last verified 2026-04-29Open record

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Last verified 2026-04-29Open record