Changes in community-level riparian plant traits over inundation gradients, Colorado River, Grand Canyon
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- More information: Publisher Index Page (via DOI) Publicly accessible after 3/17/2017 (public access data via CHORUS)
- Data Release: USGS data release - Community-level riparian plant traits, Colorado River, Grand Canyon, 2013-2015Data
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Abstract
Comparisons of community-level functional traits across environmental gradients have potential for identifying links among plant characteristics, adaptations to stress and disturbance, and community assembly. We investigated community-level variation in specific leaf area (SLA), plant mature height, seed mass, stem specific gravity (SSG), relative cover of C4 species, and total plant cover over hydrologic zones and gradients in years 2013 and 2014 in the riparian plant community along the Colorado River in the Grand Canyon. Vegetation cover was lowest in the frequently inundated active channel zone, indicating constraints on plant establishment and production by flood disturbance and anaerobic stress. Changes in trait values over hydrologic zones and inundation gradients indicate that frequently inundated plots exhibit a community-level ruderal strategy with adaptation to submergence (high SLA and low SSG, height, seed mass, C4 relative cover), whereas less frequently inundated plots exhibit adaptation to drought and infrequent flood disturbance (low SLA and high SSG, height, seed mass, C4 relative cover). Variation in traits not associated with inundation suggests niche differentiation and multiple modes of community assembly. The results enhance understanding of future responses of riparian communities of the Grand Canyon to anticipated drying and changes in hydrologic regime.
Study Area
Publication type | Article |
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Publication Subtype | Journal Article |
Title | Changes in community-level riparian plant traits over inundation gradients, Colorado River, Grand Canyon |
Series title | Wetlands |
DOI | 10.1007/s13157-017-0895-3 |
Volume | 37 |
Issue | 4 |
Year Published | 2017 |
Language | English |
Publisher | Springer |
Contributing office(s) | Southwest Biological Science Center |
Description | 12 p. |
First page | 635 |
Last page | 646 |
Country | United States |
State | Arizona |
Other Geospatial | Grand Canyon |
Google Analytic Metrics | Metrics page |