Modelling coastal marsh stability in response to sea level rise: a case study in coastal Louisiana, USA
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Cited by (34)
Reprint of Modelling wetland surface elevation dynamics and its application to forecasting the effects of sea-level rise on estuarine wetlands
2013, Ecological ModellingCitation Excerpt :The developed landscape model projected no net loss in wetland extent under moderate rates of sea-level rise (3.65 mm y−1) by 2050, thereby highlighting the capacity of natural ecosystems to self-regulate to perturbations. These findings are consistent with studies that have established wetland elevation adjustment over the Holocene at rates consistent with sea-level rise (e.g. Redfield, 1972; Woodroffe, 1990; Hashimoto et al., 2006) and through modelling studies that establish optimal rates of relative sea-level rise for marsh stability (Chmura et al., 1992; Morris et al., 2002; Bartholdy et al., 2010). There has been considerable discussion about the ability of wetland ecosystems to self adjust to perturbations (Orson et al., 1985; Reed, 1990, 1995, 2002; Morris et al., 2002).
Tagus estuary salt marshes feedback to sea level rise over a 40-year period: Insights from the application of geochemical indices
2013, Ecological IndicatorsCitation Excerpt :However, rapid sea levels rise, as predicted in some climate change scenarios (IPCC, 2007) increases salt-marsh loss caused by the increased submersion periods since salt marsh productivity (organogenic input) is suppressed (Nyman et al., 1993, 1994). Recently, an increasing number of numerical modelling studies have appeared aimed at identifying and simulate the main processes of marsh elevation dynamics in response to changing sea level (Allen, 1990, 1995, 1997; Callaway et al., 1996; Chmura et al., 1992; Day et al., 1999; French, 1993; Krone, 1987; Morris et al., 2002; Pont et al., 2002; Rybczyk and Cahoon, 2002; Rybczyk et al., 1998; Temmerman et al., 2003a; Van Wijnen and Bakker, 2001). However, as stated by Allen (2000), these models are at a rather embryonic stage of development.
Modelling wetland surface elevation dynamics and its application to forecasting the effects of sea-level rise on estuarine wetlands
2012, Ecological ModellingCitation Excerpt :The developed landscape model projected no net loss in wetland extent under moderate rates of sea-level rise (3.65 mm y−1) by 2050, thereby highlighting the capacity of natural ecosystems to self-regulate to perturbations. These findings are consistent with studies that have established wetland elevation adjustment over the Holocene at rates consistent with sea-level rise (e.g. Redfield, 1972; Woodroffe, 1990; Hashimoto et al., 2006) and through modelling studies that establish optimal rates of relative sea-level rise for marsh stability (Chmura et al., 1992; Morris et al., 2002; Bartholdy et al., 2010). There has been considerable discussion about the ability of wetland ecosystems to self adjust to perturbations (Orson et al., 1985; Reed, 1990, 1995, 2002; Morris et al., 2002).
Interannual (1999-2005) morphodynamic evolution of macro-tidal salt marshes in Mont-Saint-Michel Bay (France)
2011, Continental Shelf ResearchCitation Excerpt :Much attention was given to the quantification of sedimentation rates, with particular focus on salt marsh development, maintenance, and long-term health in relation to a wide range of processes and forcing agents such as tides (frequency and duration of flooding, tidal range, variations in mean relative sea level), meteorologically induced parameters (storm frequency, ice rafting, rainfall), geomorphology and rheology (suspension concentration, exposure to wave attack, biodegradation, and compaction of surface sediment, subsidence), vegetation/sediment characteristics and human impact (e.g. Redfield, 1972; Pethick, 1981; Stumpf, 1983; Oenema and DeLaune, 1988; Reed, 1990; Anisfeld et al., 1999; Allen, 2000; Orson et al., 1998; Weinstein and Kreeger, 2000; Chmura et al., 2001; Morris et al., 2002; French, 2006). To this regard, a wide range of measuring techniques have been used, on different timescales ranging from one tidal cycle to several hundreds of years: sediment traps (e.g. Reed, 1989; French et al., 1995; Allen and Duffy, 1998a; Temmerman et al., 2003a), sedimentation/erosion bars, tables, and filters (e.g. Boumans and Day, 1993; Jigorel, 1996; Cahoon et al., 2000, 2002; Van Proosdij et al., 2006b; Marion et al., 2009), artificial or natural marker horizons (e.g. Richard, 1978; Allen and Rae, 1988; Stoddart et al., 1989; Wood et al., 1989; Cahoon et al., 1996; Goodman et al., 2007), ultrasonic altimetry (Desguée, 2008; Marion et al., 2009), dating of sediment cores using palaeoenvironmental, radiometric, or geochemical techniques (e.g. Oenema and DeLaune, 1988; Bricker-Urso et al., 1989; Berger and Caline, 1991; Dionne, 2004; Chmura and Hung, 2004; Bartholdy et al., 2004; Wang et al., 2005; Murphy and Voulgaris, 2006; Kolker et al., 2009), changes in ecosystem/vegetation (e.g. Boorman et al., 1998; Miller et al., 2001; Langlois et al., 2003), and modelling techniques (e.g. Pethick, 1981; Chmura et al., 1992; Brown et al., 2003; Temmerman et al., 2003b, 2004; French, 2006). Both inorganic matter (mineralogenic settings), accumulating trough allochthonous inputs of mineral sediments from tides and internal redistributions within the system, and autochthonous organic matter (organogenic settings) resulting from vegetation production, contribute to the accretion of the marsh surface (Dijkema, 1987; Stevenson et al., 1988; Allen, 2000; Turner et al., 2000; Chmura and Hung, 2004, French, 2006, Kolker et al., 2009).
Coastal marsh response to historical and future sea-level acceleration
2009, Quaternary Science ReviewsCitation Excerpt :These types of numerical models may prove helpful in determining the response of marshes to historical sea-level acceleration. Although a number of modeling approaches exist (e.g. Krone, 1987; Chmura et al., 1992; French, 1993; Allen, 1995; Callaway et al., 1996; Rybczyk et al., 1998; Van Wijnen and Bakker, 2001; Morris et al., 2002; Temmerman et al., 2003; Mudd et al., 2004; D'Alpaos et al., 2007; Kirwan and Murray, 2007, 2008a; Marani et al., 2007), direct comparisons between their results are lacking. Moreover, they focus exclusively on the response of marshes to present-day or future rates of sea-level rise, leaving the response of marshes to historical changes in sea level relatively unexplored.
- 1
Present address: Department of Geography, McGill University, 805 Sherbrooke Street W., Montreal, QC H3A 2K6, Canada.
- 2
Present address: Department of Geology, University of Utrecht, P.O. Box 80.021, 3508 TA Utrecht, The Netherlands.