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

Published by U.S. Geological Survey | Department of the Interior | Metadata Last Checked: January 27, 2026 | Last Modified: 2023-04-14T00:00:00Z
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).

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