Applying a hydrogeomorphic channel classification to understand spatial patterns in riparian vegetation
Abstract
Here, we compared perennial riparian plant community composition among five a priori hydrogeomorphic channel types at 86 stream reaches in arid ephemeral watersheds. Floristic differences among channel types were assessed using PERMANOVA. GLM were used to identify species and functional groups whose abundance differed among channel types. Abiotic drivers of compositional differences were identified through correlations among biotic and abiotic matrices.
- Authors:
-
- Colorado State Univ., Fort Collins, CO (United States)
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
- Publication Date:
- Research Org.:
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- OSTI Identifier:
- 1482943
- Report Number(s):
- LA-UR-18-22356
Journal ID: ISSN 1100-9233
- Grant/Contract Number:
- 89233218CNA000001
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Journal of Vegetation Science
- Additional Journal Information:
- Journal Volume: 29; Journal Issue: 3; Journal ID: ISSN 1100-9233
- Publisher:
- Wiley
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 59 BASIC BIOLOGICAL SCIENCES; Earth Sciences; Arizona; channel classification; community composition; drylands; ephemeral stream; fluvial process domains; plant functional groups; riparian vegetation; Sonoran Desert; xeroriparian vegetation; Yuma Proving Ground
Citation Formats
Shaw, Jeremy R., Cooper, David J., and Sutfin, Nicholas Alan. Applying a hydrogeomorphic channel classification to understand spatial patterns in riparian vegetation. United States: N. p., 2018.
Web. doi:10.1111/jvs.12629.
Shaw, Jeremy R., Cooper, David J., & Sutfin, Nicholas Alan. Applying a hydrogeomorphic channel classification to understand spatial patterns in riparian vegetation. United States. https://doi.org/10.1111/jvs.12629
Shaw, Jeremy R., Cooper, David J., and Sutfin, Nicholas Alan. Wed .
"Applying a hydrogeomorphic channel classification to understand spatial patterns in riparian vegetation". United States. https://doi.org/10.1111/jvs.12629. https://www.osti.gov/servlets/purl/1482943.
@article{osti_1482943,
title = {Applying a hydrogeomorphic channel classification to understand spatial patterns in riparian vegetation},
author = {Shaw, Jeremy R. and Cooper, David J. and Sutfin, Nicholas Alan},
abstractNote = {Here, we compared perennial riparian plant community composition among five a priori hydrogeomorphic channel types at 86 stream reaches in arid ephemeral watersheds. Floristic differences among channel types were assessed using PERMANOVA. GLM were used to identify species and functional groups whose abundance differed among channel types. Abiotic drivers of compositional differences were identified through correlations among biotic and abiotic matrices.},
doi = {10.1111/jvs.12629},
journal = {Journal of Vegetation Science},
number = 3,
volume = 29,
place = {United States},
year = {Wed Mar 07 00:00:00 EST 2018},
month = {Wed Mar 07 00:00:00 EST 2018}
}
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Cited by: 4 works
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Figures / Tables:
Figure 1: Location map of study reaches in the Sonoran Desert, southwestern Arizona, USA.
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