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  • Biogeochemistry  (17)
  • Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu  (15)
  • Ecological Society of America  (2)
  • Cell Press
  • Institute of Electrical and Electronics Engineers (IEEE)
  • 2020-2023  (17)
Collection
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Years
Year
  • 1
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: EN638 Bulk Plate Rates
    Description: Small substrate hydrolysis of bulk water samples samples taken aboard the R/V Endeavor EN638, May 2019 in the Northern Atlantic. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/820973
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1736772
    Keywords: Carbon cycling ; Extracellular enzymes ; Heterotrophy ; Microbial activity ; Biogeochemistry
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 2
    Publication Date: 2022-10-31
    Description: Dataset: Kelp forest pumping data - pH
    Description: pH measured in situ over depth in the kelp forest (36° 37.3’ N, 121° 54.1’ W) recorded in July 2018. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/826162
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1737096, NSF Division of Ocean Sciences (NSF OCE) OCE-1737176
    Keywords: Ocean acidification ; Kelp forest ; Biogeochemistry ; Spatiotemporal variability ; Upwelling ; In situ pumping ; PH
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 3
    Publication Date: 2022-10-31
    Description: Dataset: Nighttime Surface Chlorophyll a
    Description: Nighttime surface chlorophyll-a concentrations at the MBARI OA1 Buoy (36° 37.373’ N, 121 ° 54.000’ W) from June to October 2018 For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/822494
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1737096, NSF Division of Ocean Sciences (NSF OCE) OCE-1737176
    Keywords: Ocean acidification ; Kelp forest ; Biogeochemistry ; Spatiotemporal variability ; Upwelling ; Chlorophyll a
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 4
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Ruergeria pomeroyi DSS-3 replete proteome
    Description: This dataset represents the global proteome of replete laboratory cultures of Ruergeria pomeroyi DSS-3 (collected in triplicate). This dataset is an initial examination of the proteome allocation of this heterotrophic bacteria and will contribute to C-CoMP's efforts that are focused on understanding the physiology of model marine bacteria. A total of 2341 proteins were identified in DSS-3. The Moran laboratory at University of Georgia grew and prepared the cultures and the Saito laboratory at Woods Hole Oceanographic Institution conducted the proteomics analyses. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/875600
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-2019589
    Keywords: Proteomics ; Marine bacteria ; Physiology ; Metabolites ; Biogeochemistry
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 5
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Alteromonas macleodii MIT1002 replete proteome
    Description: This dataset represents the global proteome of replete laboratory cultures of Alteromonas macleodii MIT1002 (collected in triplicate). This dataset is an initial examination of the proteome allocation of this heterotrophic bacteria and will contribute to C-CoMP's efforts that are focused on understanding the physiology of model marine bacteria. A total of 2075 proteins were identified in MIT1002. The Moran laboratory at University of Georgia grew and prepared the cultures and the Saito laboratory at Woods Hole Oceanographic Institution conducted the proteomics analyses. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/875612
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-2019589
    Keywords: Proteomics ; Marine bacteria ; Physiology ; Metabolites ; Biogeochemistry
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 6
    Publication Date: 2022-10-27
    Description: © The Author(s), 2021. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Pold, G., Baillargeon, N., Lepe, A., Rastetter, E. B., & Sistla, S. A. Warming effects on arctic tundra biogeochemistry are limited but habitat-dependent: a meta-analysis. Ecosphere, 12(10), (2021): e03777, https://doi.org/10.1002/ecs2.3777.
    Description: Arctic tundra consists of diverse habitats that differ in dominant vegetation, soil moisture regimes, and relative importance of organic vs. inorganic nutrient cycling. The Arctic is also the most rapidly warming global area, with winter warming dominating. This warming is expected to have dramatic effects on tundra carbon and nutrient dynamics. We completed a meta-analysis of 166 experimental warming study papers to evaluate the hypotheses that warming changes tundra biogeochemical cycles in a habitat- and seasonally specific manner and that the carbon (C), nitrogen (N), and phosphorus (P) cycles will be differentially accelerated, leading to decoupling of elemental cycles. We found that nutrient availability and plant leaf stoichiometry responses to experimental warming were variable and overall weak, but that both gross primary productivity and the plant C pool tended to increase with growing season warming. The effects of winter warming on C fluxes did not extend into the growing season. Overall, although warming led to more consistent increases in C fluxes compared to N or P fluxes, evidence for decoupling of biogeochemical cycles is weak and any effect appears limited to heath habitats. However, data on many habitats are too sparse to be able to generalize how warming might decouple biogeochemical cycles, and too few year-round warming studies exist to ascertain whether the season under which warming occurs alters how ecosystems respond to warming. Coordinated field campaigns are necessary to more robustly document tundra habitat-specific responses to realistic climate warming scenarios in order to better understand the mechanisms driving this heterogeneity and identify the tundra habitats, communities, and soil pools most susceptible to warming.
    Description: Funding for this project was provided by NSF Signals in the Soil grant number 1841610 to SAS and ER. SAS and ER conceived of and acquired funding for the project. NB completed the literature search.
    Keywords: Arctic ; Biogeochemistry ; Climate change ; Experimental warming ; Meta-analysis ; Stoichiometry ; Tundra
    Repository Name: Woods Hole Open Access Server
    Type: Article
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  • 7
    Publication Date: 2022-10-27
    Description: © The Author(s), 2021. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Rastetter, E. B., Griffin, K. L., Rowe, R. J., Gough, L., McLaren, J. R., & Boelman, N. T. Model responses to CO(2) and warming are underestimated without explicit representation of Arctic small-mammal grazing. Ecological Applications, (2021): e02478, https://doi.org/10.1002/eap.2478.
    Description: We use a simple model of coupled carbon and nitrogen cycles in terrestrial ecosystems to examine how “explicitly representing grazers” vs. “having grazer effects implicitly aggregated in with other biogeochemical processes in the model” alters predicted responses to elevated carbon dioxide and warming. The aggregated approach can affect model predictions because grazer-mediated processes can respond differently to changes in climate compared with the processes with which they are typically aggregated. We use small-mammal grazers in a tundra as an example and find that the typical three-to-four-year cycling frequency is too fast for the effects of cycle peaks and troughs to be fully manifested in the ecosystem biogeochemistry. We conclude that implicitly aggregating the effects of small-mammal grazers with other processes results in an underestimation of ecosystem response to climate change, relative to estimations in which the grazer effects are explicitly represented. The magnitude of this underestimation increases with grazer density. We therefore recommend that grazing effects be incorporated explicitly when applying models of ecosystem response to global change.
    Description: This work was supported in part by the National Science Foundation under NSF grants 1651722, 1637459, 1603560, 1556772, 1841608 to E.B.R.; 1603777 to N.T.B. and K.L.G.; 1603654 to R.J.R.; 1603760 to L.G.; and 1603677 to J.R.M.
    Keywords: Arctic tundra ; Biogeochemistry ; Carbon cycling ; Carbon-nitrogen ecosystem model ; Climate change ; Nitrogen cycling ; Population cycles ; Small-mammal herbivores
    Repository Name: Woods Hole Open Access Server
    Type: Article
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  • 8
    Publication Date: 2022-10-31
    Description: Dataset: ADCP - Inside Kelp Forest
    Description: Cross-shore and alongshore velocity inside the kelp forest at Hopkins Marine Station (36° 37.297’ N, 121° 54.102’ W) recorded between June and October, 2018. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/826431
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1737096, NSF Division of Ocean Sciences (NSF OCE) OCE-1737176
    Keywords: Ocean acidification ; Kelp forest/outside kelp forest ; Biogeochemistry ; Spatiotemporal variability ; Upwelling ; Current velocity
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 9
    Publication Date: 2022-10-31
    Description: Dataset: Kelp Forest Estimated Carbonate Parameters
    Description: Kelp forest mooring DIC, TA, pCO2, and aragonite saturation state estimations inside the kelp canopy (36° 37.297’ N, 121° 54.102’ W.) at Hopkins Marine Station, recorded between June and October 2018. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/823008
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1737096, NSF Division of Ocean Sciences (NSF OCE) OCE-1737176
    Keywords: Ocean acidification ; Kelp forest ; Biogeochemistry ; Spatiotemporal variability ; Upwelling ; DIC ; Alkalinity ; Omega (aragonite) ; PCO2
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 10
    Publication Date: 2022-10-31
    Description: Dataset: ADCP - Outside Kelp Forest
    Description: Cross-shore and alongshore velocity outside the kelp forest at Hopkins Marine Station (36° 37.342’ N, 121° 54.049’ W) recorded between June and October, 2018. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/822913
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1737096, NSF Division of Ocean Sciences (NSF OCE) OCE-1737176
    Keywords: Ocean acidification ; Kelp forest/outside kelp forest ; Biogeochemistry ; Spatiotemporal variability ; Upwelling ; Current velocity
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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