Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Skip to content

Riparian vegetation data downstream of Glen Canyon Dam in Glen Canyon National Recreation Area and Grand Canyon National Park, AZ from 2014 to 2019

Metadata Updated: July 6, 2024

These data were collected by the Grand Canyon Monitoring and Research Center (GCMRC) to support riparian vegetation monitoring along the Colorado River between Glen Canyon Dam and the full pool level of Lake Mead. The objectives of the GCMRC riparian vegetation monitoring program are to annually measure and summarize the status (composition and cover) of native and non-native vascular plant species within the riparian zone of the Colorado River between Glen Canyon Dam and Lake Mead, assess change in the vegetation composition and cover in the riparian zone, as related to geomorphic setting and dam operations, particularly flow regime, and collect data in a manner that can be used by multiple stakeholders and is compatible with the basin-wide monitoring program overseen by the National Park Service’s Northern Colorado Plateau Network Inventory and Monitoring program. These data represent estimated cover and richness of plants, as well as associated environmental variables at sample sites visited in 2014 and 2016-2019. These data were collected in the field following the Palmquist and others (2018) published protocol in August, September, and October of each year. This protocol uses ocular cover estimates of variables of interest in 1-m2 quadrat frames at both randomly-selected and annually sampled long-term monitoring sites. Within the study area (between Glen Canyon Dam and the full pool level of Lake Mead), these data can be used to evaluate changes in riparian plant cover between 2014 and 2019, evaluate differences in floristic composition, estimate the frequency and cover of recorded plant species, document approximate distributions of plant species, and estimate species richness and diversity. Caution should be used when combining these data with other data sets, particularly those that utilize different plant cover estimation methods (for example, line-point intercept).

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources

Dates

Metadata Created Date May 31, 2023
Metadata Updated Date July 6, 2024

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date May 31, 2023
Metadata Updated Date July 6, 2024
Publisher U.S. Geological Survey
Maintainer
@Id http://datainventory.doi.gov/id/dataset/5f282819f9ea9138289c240daac2fab6
Identifier USGS:612fa47ad34e40dd9c099fd7
Data Last Modified 20230414
Category geospatial
Public Access Level public
Bureau Code 010:12
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://datainventory.doi.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id 9ff2d874-3083-4a36-84fe-0d9615c70d86
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -113.363893891,35.831395422,-111.655606078,36.772325343
Publisher Hierarchy White House > U.S. Department of the Interior > U.S. Geological Survey
Source Datajson Identifier True
Source Hash 8e69d9b8c1f72e83766654e2063b30326d70d6836998f5def6b2317a9be3c5d9
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -113.363893891, 35.831395422, -113.363893891, 36.772325343, -111.655606078, 36.772325343, -111.655606078, 35.831395422, -113.363893891, 35.831395422}

Didn't find what you're looking for? Suggest a dataset here.