Predicting the persistence of coastal wetlands to global change stressors

Held Cairns Convention Centre, Cairns, Queensland, Autstralia, 9-14 July 2006. OCLC: 83612316 PDF on file: 6788_Guntenspergen.pdf
By: , and 


  • The Publications Warehouse does not have links to digital versions of this publication at this time
  • Download citation as: RIS | Dublin Core


Despite progress toward understanding the response of coastal wetlands to increases in relative sea-level rise and an improved understanding of the effect of elevated CO2 on plant species allocation patterns, we are limited in our ability to predict the response of coastal wetlands to the effects associated with global change. Static simulations of the response of coastal wetlands to sea-level rise using LIDAR and GIS lack the biological and physical feedback mechanisms present in such systems. Evidence from current research suggests that biotic processes are likely to have a major influence on marsh vulnerability to future accelerated rates of sea-level rise and the influence of biotic processes likely varies depending on hydrogeomorphic setting and external stressors. We have initiated a new research approach using a series of controlled mesocosm and field experiments, landscape scale studies, a comparative network of brackish coastal wetland monitoring sites and a suite of predictive models that address critical questions regarding the vulnerability of coastal brackish wetland systems to global change. Specifically, this research project evaluates the interaction of sea level rise and elevated CO2 concentrations with flooding, nutrient enrichment and disturbance effects. The study is organized in a hierarchical structure that links mesocosm, field, landscape and biogeographic levels so as to provide important new information that recognizes that coastal wetland systems respond to multiple interacting drivers and feedback effects controlling wetland surface elevation, habitat stability and ecosystem function. We also present a new statistical modelling technique (Structural Equation Modelling) that synthesizes and integrates our environmental and biotic measures in a predictive framework that forecasts ecosystem change and informs managers to consider adaptive shifts in strategies for the sustainable management of coastal wetlands.

Additional publication details

Publication type Book chapter
Publication Subtype Book Chapter
Title Predicting the persistence of coastal wetlands to global change stressors
Year Published 2006
Language English
Publisher Australian Marine Sciences Association and Society of Wetland Scientists
Publisher location [Brisbane, Queensland]
Contributing office(s) Patuxent Wildlife Research Center
Larger Work Type Book
Larger Work Subtype Other Government Series
Larger Work Title Catchments to Coast: Australian Marine Sciences Association, 44th annual conference and the Society of Wetland Scientists 27th International Conference. Book of Abstracts
First page 53 (abs)