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Publication Type J
Authors Moffett, KB; Robinson, DA; Gorelick, SM
Author Full Name Moffett, Kevan B.; Robinson, David A.; Gorelick, Steven M.
Title Relationship of Salt Marsh Vegetation Zonation to Spatial Patterns in Soil Moisture, Salinity, and Topography
Source ECOSYSTEMS
Language English
Document Type Article
Author Keywords pattern; salt marsh; vegetation; zonation; edaphic; wetland; geophysics; ECa; Q-DEMI
Keywords Plus PLANT ZONATION; ELECTRICAL-CONDUCTIVITY; ELECTROMAGNETIC INDUCTION; COMMUNITY STRUCTURE; MODEL; COMPETITION; ORGANIZATION; ECOSYSTEMS; EVOLUTION; ATLANTIC
Abstract An intertidal San Francisco Bay salt marsh was used to study the spatial relationships between vegetation patterns and hydrologic and edaphic variables. Multiple abiotic variables were represented by six metrics: elevation, distance to major tidal channels and to the nearest channel of any size, edaphic conditions during dry and wet circumstances, and the magnitude of tidally induced changes in soil saturation and salinity. A new approach, quantitative differential electromagnetic induction (Q-DEMI), was developed to obtain the last metric. The approach converts the difference in soil electrical conductivity (ECa) between dry and wet conditions to quantitative maps of tidally induced changes in root zone soil water content and salinity. The result is a spatially exhaustive map of edaphic changes throughout the mapped area of the ecosystem. Spatially distributed data on the six metrics were used to explore two hypotheses: (1) multiple abiotic variables relevant to vegetation zonation each exhibit different, uncorrelated, spatial patterns throughout an intertidal salt marsh; (2) vegetation zones and habitats of individual plant species are uniquely characterized by different combinations of key metrics. The first hypothesis was supported by observed, uncorrelated spatial variability in the metrics. The second hypothesis was supported by binary logistic regression models that identified key vegetation zone and species habitat characteristics from among the six metrics. Based on results from 108 models, the Q-DEMI map of saturation and salinity change was the most useful metric of those tested for distinguishing different vegetation zones and plant species habitats in the salt marsh.
Author Address [Moffett, Kevan B.; Gorelick, Steven M.] Stanford Univ, Dept Environm Earth Syst Sci, Stanford, CA 94305 USA; [Robinson, David A.] Environm Ctr Wales, Ctr Ecol & Hydrol, Bangor LL57 2UW, Gwynedd, Wales
Reprint Address Moffett, KB (reprint author), Stanford Univ, Dept Environm Earth Syst Sci, Stanford, CA 94305 USA.
E-mail Address moffett@stanford.edu
ResearcherID Number Robinson, David/A-6287-2010
ORCID Number Robinson, David/0000-0001-7290-4867
Funding Agency and Grant Number National Science Foundation [EAR-0634709]
Funding Text This work was supported by National Science Foundation grant EAR-0634709 to Stanford University. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation. We thank the City of Palo Alto Baylands Nature Preserve and K. Brauman, M. Cardiff, S. Giddings, E. Hult, K. Knee, I. Lebron, and K. Tufano for field assistance.
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Cited Reference Count 45
Times Cited 35
Total Times Cited Count (WoS, BCI, and CSCD) 35
Publisher SPRINGER
Publisher City NEW YORK
Publisher Address 233 SPRING ST, NEW YORK, NY 10013 USA
ISSN 1432-9840
29-Character Source Abbreviation ECOSYSTEMS
ISO Source Abbreviation Ecosystems
Publication Date DEC
Year Published 2010
Volume 13
Issue 8
Beginning Page 1287
Ending Page 1302
Digital Object Identifier (DOI) 10.1007/s10021-010-9385-7
Page Count 16
Web of Science Category Ecology
Subject Category Environmental Sciences & Ecology
Document Delivery Number 679JC
Unique Article Identifier WOS:000284156700011
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