Date
7-5-2016
Abstract
This study originated with the objective of parameterizing riparian evapotranspiration (ET) in the water budget of the Middle Rio Grande. We hypothesized that flooding and invasions of non-native species would strongly impact ecosystem water use. Our objectives were to measure and compare water use of native (Rio Grande cottonwood, Populus deltoides ssp. wizleni) and non-native (saltcedar, Tamarix chinensis, Russian olive, Eleagnus angustifolia) vegetation and to evaluate how water use is affected by climatic variability resulting in high river flows and flooding as well as drought conditions and deep water tables. Eddy covariance flux towers to measure ET and shallow wells to monitor water tables were instrumented in 1999. Active sites in their second decade of monitoring include a xeroriparian, non-flooding salt cedar woodland within Sevilleta National Wildlife Refuge and a dense, monotypic salt cedar stand at Bosque del Apache NWR, which is subject to flood pulses associated with high river flows. This data set includes the soil temperature and moisture data collected during this study.
Handle
http://hdl.handle.net/1928/33080
Other Identifier
SEV310
Knowledge Network for Biocomplexity (KNB) Identifier
knb-lter-sev.310.3
Document Type
Dataset
Rights
Data Policies: This dataset is released to the public and may be freely downloaded. Please keep the designated Contact person informed of any plans to use the dataset. Consultation or collaboration with the original investigators is strongly encouraged. Publications and data products that make use of the dataset must include proper acknowledgement of the Sevilleta LTER. Datasets must be cited as in the example provided. A copy of any publications using these data must be supplied to the Sevilleta LTER Information Manager. By downloading any data you implicitly acknowledge the LTER Data Policy (http://www.lternet.edu/data/netpolicy.html).
Publisher
Sevilleta Long Term Ecological Research (LTER) Project
Source
http://dx.doi.org/10.6073/pasta/3ae2cbbab385383fddc1611184748811
Temporal coverage
1999-04-17 - 2011-12-31
Spatial coverage
Sevilleta NWR, west side of Rio Grande, approx. 1.5 km upstream (N) of San Acacia Diversion.Bosque del Apache NWR, west side of Rio Grande, approx. 1.5 km downstream (S) of NWR bridge over Low Flow Conveyance Channel.Albuquerque South Valley (access off Shirk Ln), east side of Rio Grande, approx. 1 km upstream (N) of U.S. Interstate 25 bridge over Rio Grande.South of Belen (Rio Communities, access off NM 304 via La Grima Rd.), east side of Rio Grande, approx. 7 km downstream (S) of NM 309 bridge over Rio Grande.La Joya State Game Refuge, west side of Rio Grande, approx. 3.5 km downstream (S) of Rio Puerco confluence with Rio Grande.
DOI
doi:10.6073/pasta/3ae2cbbab385383fddc1611184748811
Permanent URL
http://dx.doi.org/10.6073/pasta/3ae2cbbab385383fddc1611184748811
Recommended Citation
Dahm, Clifford; Thibault, Jim (2016-07-05): Riparian Evapotranspiration (ET) Study (SEON) from the Middle Rio Grande River Bosque, New Mexico (1999-2011 ): Soil Thermal Flux, Temperature and Moisture Data. Long Term Ecological Research Network. http://dx.doi.org/10.6073/pasta/3ae2cbbab385383fddc1611184748811
Show full metadata
knb-lter-sev.310.3-provenance.xml (4 kB)
Show provenance metadata
knb-lter-sev.310.3-report.html (27 kB)
Show original LTER Network Data Portal ingest report
sev310_bosqueETSoil_20160710.csv (123198 kB)
Data in CSV format
Comments
This dataset was originally published on the Long Term Ecological Research (LTER) Network Data Portal, https://portal.lternet.edu, and potentially via other repositories or portals as described. The Digital Object Identifier (DOI) of the source data package is doi:10.6073/pasta/3ae2cbbab385383fddc1611184748811, and may be accessed at http://dx.doi.org/10.6073/pasta/3ae2cbbab385383fddc1611184748811. Metadata and files included in this record mirror as closely as possible the source data and documentation, with the provenance metadata and quality report generated by the LTER portal reproduced here as '*-provenance.xml' and *-report.html' files, respectively.