Dataset Listing

Calhoun CZO - Soil Geochemistry - Soil organic matter transformations (2015)

Sampling depths of 40-50 cm and 400-500 cm

Variables:  Soil_pH, fresh_ mass_incubated_soil, dry_mass_incubated_soil, extractable_organic_carbon_concentration, extractable_organic_nitrogen_concentration, nitrate_conconcentration, microbial_biomass_concentration, soil_CO2_production_rate, soil_CH4_produtcion_rate, soil_N2O_production_rate, δ13C_soil_respired_CO2, β-glucosidase_activity, β-N-acetyl_glucosaminidase_activity, acid_phosphatase_activity, phenol_oxidase_activity

Date Range:  (2015-06-09 to 2015-07-22. irregular collections)

Dataset Creators/Authors:  Min, K.; Flournoy, R.; Heroneme, C.; Barger, K.; Lehmeier, C.A.; Heine, P.; Richter, D.deB.; Billings, S.A.

Contact:  Sharon A. Billings, 2101 Constant Ave., University of Kansas, Lawrence, KS, 66047, USA.

Field Area:   Calhoun Long-Term Soil-Ecosystem Plots and Reference Areas

Description
Keywords & XML
Citation
  • Description

    Deep within soil profiles, organic matter (OM) inputs are derived from root growth and root exudates of deeply-rooted species, and organic compounds percolating through the profile from more shallow horizons. Severe disturbance “orphans” these deep roots, which eventually decay in place. When annual crops replace long-lived, deeply rooted vegetation, sustained organic inputs into deep soil volumes are limited to those that percolate down from the overlying horizons. Multiple studies suggest that even after forests are re-planted, it can take more than a century for deep roots to become re-established.

    We thus ask if past disturbance and subsequent changes across depth in OM inputs (both content and form) have a contemporary influence on transformations and fate of deep, ancient soil OM and associated biogeochemical fluxes and microbial communities. If so, this phenomenon would suggest a far-reaching nature of the biogeochemical legacies of past disturbance, both in vertical space (down deep) and time (~60 y after forest re-establishment at the Calhoun experimental forest). Discerning and quantifying any such effect would add an additional dimension to existing disturbance-related literature, and helps address some of the questions raised in the Calhoun Critical Zone Observatory proposal.

    Our objective was to quantify the influence of past land use history and current land cover on deep soil biogeochemical processes linked to OM transformations. For this, we collected soil samples from the Calhoun CZO, from three replicate sites of old-grown hardwood forests, from three replicate sites of old-field pine forests, and from one current crop field (“dovefield”), from depths of 40-50 cm and 400-500 cm by hand augering.

    Once the shipped soil samples arrived at the University of Kansas, Lawrence, we incubated subsamples in mason jars and prepared them for gas sampling. Gas samples from the incubation jars were at time 0 and time 1, and CO2, CH4 and N2O concentrations in the sampled gas were analyzed with a gas chromatograph. This allowed us to compute rates of soil microbial CO2, CH4 and N2O production. Determining δ13C of the sampled gases with a 13CO2/12CO2 gas analyzer allowed us to assess the δ13C of the CO2 respired by the soil microbes. At the same sampling points during the soil incubations, we also took aliquots of the samples for flourometric enzyme assays. This aimed at quantifying the activities of the microbial extracellular enzymes β-glucosidase, β-N-acetyl glucosaminidase, acid phosphatase, and phenol oxidase.

    All other soil parameters were analyzed on subsamples of the soils immediately after their arrival at the University of Kansas.
  • Keywords

    Soil organic matter, soil microbial activity, extracellular enzymes, heterotrophic respiration, CO2 efflux, land use change, disturbance history, soil depth

    XML Metadata

    criticalzone.org/calhoun/data/xml-metadata-test/4637/

    XML is in ISO-19115 geographic metadata format, compatible with ESRI Geoportal Server.

  • Citation for This Dataset

    Min, K.; Flournoy, R.; Heroneme, C.; Barger, K.; Lehmeier, C.A.; Heine, P.; Richter, D.deB.; Billings, S.A., 2015, Calhoun CZO soil organic matter transformations, http://criticalzone.org/calhoun/data/dataset/4637/

    Citation for This Webpage

    Min, K.; Flournoy, R.; Heroneme, C.; Barger, K.; Lehmeier, C.A.; Heine, P.; Richter, D.deB.; Billings, S.A. (2015). "CZO Dataset: Calhoun CZO - Soil Geochemistry (2015) - Soil organic matter transformations." Retrieved 21 Feb 2019, from http://criticalzone.org/calhoun/data/dataset/4637/

Data

Hardwood, Pine, and Dove field replicates - Ex situ CO2 efflux and extracellular enzyme activities

(.xls)   Data Level 2,  [Private]

Data Use Policy
Data Sharing Policy
  • Data Use Policy

    DRAFT v.0.4.0

    1. Use our data freely. All CZO Data Products* except those labelled Private** are released to the public and may be freely copied, distributed, edited, remixed, and built upon under the condition that you give acknowledgement as described below. Non-CZO data products — like those produced by USGS or NOAA — have their own use policies, which should be followed.

    2. Give proper citation and acknowledgement. Publications, models and data products that make use of these datasets must include proper citation and acknowledgement. Most importantly, provide a citation in a similar way as a journal article (i.e. author, title, year of publication, name of CZO “publisher”, edition or version, and URL or DOI access information. See http://www.datacite.org/whycitedata). Also include at least a brief acknowledgement such as: “Data were provided by the NSF-supported Southern Sierra Critical Zone Observatory” (replace with the appropriate observatory name).

    3. Let us know how you will use the data. The dataset creators would appreciate hearing of any plans to use the dataset. Consider consultation or collaboration with dataset creators.

    *CZO Data Products.  Defined as a data collected with any monetary or logistical support from a CZO.

    **Private. Most private data will be released to the public within 1-2 years, with some exceptionally challenging datasets up to 4 years. To inquire about potential earlier use, please contact us.

  • Data Sharing Policy

    DRAFT v.0.2.5

    All CZO investigators and collaborators who receive material or logistical support from a CZO agree to:

    1. Share data privately within 1 year. CZO investigators and collaborators agree to provide CZO Data Products* — including data files and metadata for raw, quality controlled and/or derived data — to CZO data managers within one year of collection of samples, in situ or experimental data. By default, data values will be held in a Private CZO Repository**, but metadata will be made public and will provide full attribution to the Dataset Creators†.

    2. Release data to public within 2 years. CZO Dataset Creators will be encouraged after one year to release data for public access. Dataset Creators may chose to publish or release data sooner.

    3. Request, in writing, data privacy up to 4 years. CZO PIs will review short written applications to extend data privacy beyond 2 years and up to 4 years from time of collection. Extensions beyond 3 years should not be the norm, and will be granted only for compelling cases.

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    * CZO Data Products. Defined as data collected with any monetary or logistical support from a CZO. Logistical support includes the use of any CZO sensors, sampling infrastructure, equipment, vehicles, or labor from a supported investigator, student or staff person. CZO Data Products can acknowledge multiple additional sources of support.

    ** Private CZO Repository. Defined as a password-protected directory on each CZO’s data server. Files will be accessible by all investigators and collaborators within the given CZO and logins will be maintained by that local CZO’s data managers. Although data values will not be accessible by the public or ingested into any central data system (i.e. CUAHSI HIS), metadata will be fully discoverable by the public. This provides the dual benefit of giving attribution and credit to dataset creators and the CZO in general, while maintaining protection of intellectual property while publications are pending.

    † Dataset Creators. Defined as the people who are responsible for designing, collecting, analyzing and providing quality assurance for a dataset. The creators of a dataset are analogous to the authors of a publication, and datasets should be cited in an analogous manner following the emerging international guidelines described at http://www.datacite.org/whycitedata.

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