Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/116795
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Type: Journal article
Title: Hydrological-niche models predict water plant functional group distributions in diverse wetland types
Author: Deane, D.
Nicol, J.
Gehrig, S.
Harding, C.
Aldridge, K.
Goodman, A.
Brookes, J.
Citation: Ecological Applications, 2017; 27(4):1351-1364
Publisher: Wiley
Issue Date: 2017
ISSN: 1051-0761
1939-5582
Statement of
Responsibility: 
David C. Deane, Jason M. Nicol, Susan L. Gehrig, Claire Harding, Kane T. Aldridge, Abigail M. Goodman and Justin D. Brookes
Abstract: Human use of water resources threatens environmental water supplies. If resource managers are to develop policies that avoid unacceptable ecological impacts, some means to predict ecosystem response to changes in water availability is necessary. This is difficult to achieve at spatial scales relevant for water resource management because of the high natural variability in ecosystem hydrology and ecology. Water plant functional groups classify species with similar hydrological niche preferences together, allowing a qualitative means to generalize community responses to changes in hydrology. We tested the potential for functional groups in making quantitative prediction of water plant functional group distributions across diverse wetland types over a large geographical extent. We sampled wetlands covering a broad range of hydrogeomorphic and salinity conditions in South Australia, collecting both hydrological and floristic data from 687 quadrats across 28 wetland hydrological gradients. We built hydrological-niche models for eight water plant functional groups using a range of candidate models combining different surface inundation metrics. We then tested the predictive performance of top-ranked individual and averaged models for each functional group. Cross validation showed that models achieved acceptable predictive performance, with correct classification rates in the range 0.68-0.95. Model predictions can be made at any spatial scale that hydrological data are available and could be implemented in a geographical information system. We show the response of water plant functional groups to inundation is consistent enough across diverse wetland types to quantify the probability of hydrological impacts over regional spatial scales.
Keywords: Electrical conductivity; environmental water requirements; hydrological-niche model; predictive model; water allocation; water plant functional group; water regime; water resource management wetland plant community.
Rights: © 2017 by the Ecological Society of America
RMID: 0030066875
DOI: 10.1002/eap.1529
Appears in Collections:Earth and Environmental Sciences publications

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