Summary & Purpose
Geologic, geomorphic, and climatic factors have been hypothesized to influence stream drying patterns, but hydrologists struggle to explain spatiotemporal patterns of drying. Few hydrologists have isolated the role that vegetation plays in controlling the timing and location of stream drying. We continuously measured the presence and absence of streamflow at twenty-five locations at Murphy Creek within the Reynolds Creek Experimental Watershed and Critical Zone Observatory. In addition to streamflow observations, we modeled evapotranspiration and calculated the normalized vegetation difference index (NDVI) at each of the same twenty-five locations. We found that evapotranspiration impacts the timing of stream drying and that NDVI reflects streamflow status and has potential to be used to predict spatiotemporal stream drying patterns.
Date of Publication or Submission
3-4-2021
DOI
10.18122/reynoldscreek/24/boisestate
Funding Citation
NSF [#1653998 & RC CZO Coop Agreement EAR 1331872], Exxon Mobil, the Idaho State University Geslin Fund, and the Geological Society of America.
Single Dataset or Series?
Series
Data Format
.csv
.rtf
Data Attributes
See NDVI_ET_Murphy_readme.rtf
Map Area
43.259390°-116.847949°,43.252490°-116.847999°
Map Area
43.251912°-116.816932°,43.259829°-116.817746°
Time Period
6/3/2019 - 10/1/2019
Privacy and Confidentiality Statement
Boise State is explicitly compliant with federal and state laws surrounding data privacy including the protection of personal financial information through the Gramm-Leach-Bliley Act, personal medical information through HIPAA, HITECH and other regulations. All human subject data (e.g., surveys) has been collected and managed only by personnel with adequate human subject protection certification.
Use Restrictions
1. Use our data freely. All CZO, USGS, and USDA-ARS 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. 2. Give proper acknowledgement. Publications, models and data products that make use of these datasets must include proper acknowledgement, including citing datasets in a similar way to citing 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). 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.
Disclaimer of Warranty
BOISE STATE UNIVERSITY MAKES NO REPRESENTATIONS ABOUT THE SUITABILITY OF THE INFORMATION CONTAINED IN OR PROVIDED AS PART OF THE SYSTEM FOR ANY PURPOSE. ALL SUCH INFORMATION IS PROVIDED "AS IS" WITHOUT WARRANTY OF ANY KIND. BOISE STATE UNIVERSITY HEREBY DISCLAIMS ALL WARRANTIES AND CONDITIONS WITH REGARD TO THIS INFORMATION, INCLUDING ALL WARRANTIES AND CONDITIONS OF MERCHANTABILITY, WHETHER EXPRESS, IMPLIED OR STATUTORY, FITNESS FOR A PARTICULAR PURPOSE, TITLE AND NON-INFRINGEMENT.
IN NO EVENT SHALL BOISE STATE UNIVERSITY BE LIABLE FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF INFORMATION AVAILABLE FROM THE SYSTEM.
THE INFORMATION PROVIDED BY THE SYSTEM COULD INCLUDE TECHNICAL INACCURACIES OR TYPOGRAPHICAL ERRORS. CHANGES ARE PERIODICALLY ADDED TO THE INFORMATION HEREIN. COMPANY AND/OR ITS RESPECTIVE SUPPLIERS MAY MAKE IMPROVEMENTS AND/OR CHANGES IN THE PRODUCT(S) AND/OR THE PROGRAM(S) DESCRIBED HEREIN AT ANY TIME, WITH OR WITHOUT NOTICE TO YOU.
BOISE STATE UNIVERSITY DOES NOT MAKE ANY ASSURANCES WITH REGARD TO THE ACCURACY OF THE RESULTS OR OUTPUT THAT DERIVES FROM USE OF THE SYSTEM.
Recommended Citation
Warix, Sara; Godsey, Sarah; Flerchinger, Gerald; Bottenburg, Carrie; Chu, Xiaosheng; Lohse, Kathleen; Hale, Rebecca; and Seyfried, Mark. (2021). Dataset for Riparian Evapotranspiration and NDVI: Murphy Creek, Idaho [Data set]. Retrieved from 10.18122/reynoldscreek/24/boisestate