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Person

Natalie R Wilson

Physical Scientist

Western Geographic Science Center

Email: nrwilson@usgs.gov
Office Phone: 520-670-5517
Fax: 520-670-5113
ORCID: 0000-0001-5145-1221

Location
UA - ENRB - AZWSC
520 N. Park Ave
Tucson , AZ 85719
US

Supervisor: Laura M Norman
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This dataset contains hydrological data collected at a series of leaky weirs on a working ranchland site in a semiarid ecosystem in Cochise County, Arizona, from 2018-2020. Leaky weirs are a type of structure being experimented with by land managers in aridlands to reduce peak flow events and increase recharge to the aquifer. The weirs are constructed of rock cemented into place in areas of exposed bedrock within the channel are built to allow for water to leak through slowly. Three sites were instrumented for monitoring, one control and two sites treated with ‘leaky weirs’. At each site, at least one pressure transducer was installed in a piezometer to measure water level. Each site also had multiple “3-in-1” gauges,...
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This dataset contains data used in the associated publication in the International Journal of Remote Sensing. The geodatabase contains four feature classes: AOI, MajorZone, MinorZone, and Green2007. Publication can be found at https://doi.org/10.1080/01431161.2018.1437297. Publication abstract: Watershed restoration efforts seek to rejuvenate vegetation, biological diversity, and land productivity at Cienega San Bernardino, an important wetland in southeastern Arizona and northern Sonora, Mexico. Rock detention and earthen berm structures were built on the Cienega San Bernardino over the course of four decades, beginning in 1984 and continuing to the present. Previous research findings show that restoration supports...
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This zip file contains spatial, descriptive and digital camera image data for a vegetation field dataset collected on the San Carlos Apache Reservation and surrounding area in Arizona, and used for analysis in the associated publication. Data consists of vector point data, vegetation community type, field observations, and digital camera images that correspond with the images in the associated directory. This field data was used, in addition to historical field data from the SWReGAP project, to characterize the accuracy of the vegetation maps generated by the techniques described in the associated publication. The maps generated by these techniques did not improve on the accuracy of existing maps and are, therefore,...
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