Dataset Listing

Rio Mameyes and Rio Icacos - Stream Suspended Sediment, Streamflow / Discharge, Precipitation - riverine particulate organic matter export (1991-2015)

Extreme storms drive riverine particulate organic matter export from tropical mountians of estern Puerto Rico

Variables:  discharge, SS, POC, PN, rainfall,

Standard Variables:  Discharge|Nitrogen, particulate organic|Carbon, particulate organic|Precipitation|Sediment, suspended

Date Range:  (1991-2015)

Dataset Creators/Authors:  Clark, Kathryn E.; Stallard, Robert F.; Stallard, Martha A.; Plante, Alain F.; Plante, Sheila F.; Plante, Grizelle; McDowell, William H.

Contact:  Miguel Leon, Miguel.Leon@unh.edu

Field Area:   Rio Mameyes | Rio Icacos

Description
Keywords & XML
Citation
  • Description

    Erosion, transport and deposition of riverine suspended load are pivotal processes in the terrestrial carbon cycle and function of the critical zone. In order to better understand the response of these drivers to changes in land cover and climate, it is critical to characterize these drivers. In montane rivers, such as the Luquillo Mountains, Puerto Rico, extreme storm events erode and transport clastic and organic material from mountain slopes to rivers, dominating annual export. Riverine particulate organic carbon (POC) and particulate nitrogen (PN) exports are not as well understood, especially at high runoff rates. Over 25 years, river POC export was 75±20 tC km-2 yr-1 for Rio Icacos and 22±8 tC km-2 yr-1 for the Mameyes. Caribbean river POC yields were higher in relation to their SS yields, suggesting that these rivers have greater terrestrial OM supply on the landscape to be eroded and transported into rivers, than what is expected based on data for world rivers. Additionally, we determined that 50% of the suspended load flux occurred during extreme rainfall events, spanning just over 2 days a year, but only exporting < 10% of the annual runoff and rainfall. These results emphasize the important role of extreme rainfall events as drivers of POM export from the Luquillo Mountains.
  • Keywords

    rainfall, suspended sediment, hydrology, Luquillo, Puerto Rico, biogeochemistry, particulate organic carbon, extreme events

    XML Metadata

    criticalzone.org/national/data/xml-metadata-test/6026/

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

  • Citation for This Dataset

    Clark, K. E., R. Stallard, M. Scholl, A. F. Plante, S. F. Murphy, G. Gonzalez, W. H. McDowell (2017). Extreme storms drive riverine particulate organic matter export from tropical mountians of estern Puerto Rico, HydroShare, http://www.hydroshare.org/resource/bd540b2b97e8428fb3b7c7ae4d2e704a

    Citation for This Webpage

    Clark, Kathryn E.; Stallard, Robert F.; Stallard, Martha A.; Plante, Alain F.; Plante, Sheila F.; Plante, Grizelle; McDowell, William H. (2015). "CZO Dataset: Rio Mameyes and Rio Icacos - Stream Suspended Sediment, Streamflow / Discharge, Precipitation (1991-2015) - riverine particulate organic matter export." Retrieved 06 Dec 2019, from http://criticalzone.org/national/data/dataset/6026/

Data

Rio Icacos - gap filled 1991 to 2014 instantaneous discharge, original data found online

(.zip)   Data Level 1,  [Private]

Rio Icacos - 1991 to 2015 yields of runoff, SS, POC, and PN using LOADEst

(.xls)   Data Level 1,  [Private]

Rio Icacos - n = 127 with > 80 mm rainfall / event and the flux of rainfall, runoff, SS, POC, and PN

(.xls)   Data Level 1,  [Private]

Rio Icacos - > 0.16 mm rainfall / event at Rio Icacos rain gauge, published: 10.1002/2013WR014413

(xlsx)   Data Level 1,  [Private]

Rio Mameyes - gap filled 1991 to 2014 instantaneous discharge, original data found online

(.zip)   Data Level 1,  [Private]

Rio Mameyes - n = 127 with > 80 mm rainfall / event and the flux of rainfall, runoff, SS, POC, and PN

(.xls)   Data Level 1,  [Private]

Rio Mameyes - 1991 to 2015 yields of runoff, SS, POC, and PN using LOADEst

(.xls)   Data Level 1,  [Private]

Rio Icacos and Rio Mameyes - n = 1793 SS mg/L samples collected weekly from 1989 to 2015 n = 302 results of C%, N%, POC & PN mg/L

(xlsx)   Data Level 1,  [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.

    4. Consult with creators of private CZO datasets prior to use. In order to enable the collaborative vision of the CZO program, data in private CZO repositories will be available to other investigators and collaborators within that CZO. Releasing or publishing any derivative of such private data without explicit consent from the dataset creators will be considered a serious scientific ethics violation.

    * 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.