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Title: 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:
ORCiD logo [1];  [1]; ORCiD logo [2]
  1. Colorado State Univ., Fort Collins, CO (United States)
  2. 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) (SC-23)
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. doi: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. doi: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 = {2018},
month = {3}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record

Figures / Tables:

Figure 1 Figure 1: Location map of study reaches in the Sonoran Desert, southwestern Arizona, USA.

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    Figures/Tables have been extracted from DOE-funded journal article accepted manuscripts.