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Southwestern Riparian Plant Trait Matrix, Colorado River, Grand Canyon, 2014 to 2016—Data

Southwestern riparian plant trait matrix data, Colorado River, Grand Canyon, Arizona, 2014 to 2016

Dates

Publication Date
Start Date
2013
End Date
2016

Citation

Palmquist, C., Ralston, B.E., Sarr, D., Merritt, D., Shafroth, P.B. and Scott, J.A., 2016, Southwestern Riparian Plant Trait Matrix, Colorado River, Grand Canyon, Arizona, 2014 - 2016—Data: U.S. Geological Survey data release, https://dx.doi.org/10.5066/F7QV3JN1.

Summary

This dataset contains information on the physical traits and environmental tolerances of plant species occurring along the lower Colorado River through Grand Canyon. Due to the unique combination of plant species within the Grand Canyon, this flora shares species with many riparian areas in the western U.S.A. and represents obligate wetland to obligate upland plant species. Data for the matrix were compiled from published scientific papers, unpublished reports, plant fact sheets, existing trait databases, regional floras, and plant guides. Categorical, ordinal, and continuous data are included in this dataset. This dataset does not contain sensitive or classified data.

Contacts

Attached Files

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USGS_2016_EPalmquist_Plant_Trait_Matrix_Colorado_River_Grand_Canyon_2014_2016_Metadata.xml
Original FGDC Metadata

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USGS_2016_EPalmquist_Plant_Trait_Matrix_Colorado_River_Grand_Canyon_2014_2016_Data.xml 534.16 KB

Purpose

The purpose of these data are to support efforts to identify riparian vegetation-flow response guilds (groups of plants with similar traits related to water availability) in the riparian area of Grand Canyon and Glen Canyon, which are then used to examine past and future riparian vegetation change in response to dam operations and climate change. In this context, we compiled a matrix of both biological and ecological traits for common vascular plant species occurring along the Colorado River through Grand Canyon. Trait information has been used for a variety of purposes, including making groups of plants (guilds or functional groups) that are expected to respond similarly to environmental resource gradients and/or stressors; evaluating changes in vegetation attributes due to environmental change; and predicting changes to ecosystem services and ecological functions resulting from vegetation change. In arid land riparian areas, traits-based analyses are beginning to be used to better understand the impacts of flow regulation and ground water pumping on riparian vegetation. Uses for traits-based vegetation analyses in other systems have included examining trait patterns over environment gradients and investigating evolutionary patterns in traits, both of which could be useful in understanding patterns and drivers of riparian vegetation.

Rights

The authors of these data require that data users contact them regarding intended use and to assist with understanding limitations and interpretation. Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. Although these data have been processed successfully on a computer system at the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. The USGS or the U.S. Government shall not be held liable for improper or incorrect use of the data described and/or contained herein.

Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/F7QV3JN1

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