Organism traits determine the strength of scale-dependent bio-geomorphic feedbacks: A flume study on three intertidal plant species

Bouma, Tjeerd J.; Temmerman, Stijn; Duren, Luca A. van; Martini, E.; Vandenbruwaene, Werner; Callaghan, David P.; Balke, Thorsten; Biermans, Geert; Klaassen, P.C.; Steeg, P. van; Dekker, Frank; Koppel, van de Johan; Vries, Mindert de; Herman, Peter M. J.

doi:10.1016/j.geomorph.2012.09.005

Cited by 130 publications

(164 citation statements)

References 44 publications

Supporting

Mentioning

153

Contrasting

Order By: Relevance

“…Vegetation roughness coefficients used in hydrodynamic modelling comprise density, elasticity, shape and bendiness of the vegetation (Nepf ; Bouma et al . ; Camporeale et al . ).…”

Section: Plant Trait Effects On Ecosystem Service Potentialmentioning

confidence: 99%

“…), and clonal plants in marshes can decrease flow velocity due to particularly high shoot density (Bouma et al . ) as well as strong anchorage and resistance to uprooting (Gurnell ). Anchorage and soil stabilization also depend on root architecture, depth and root tensile strength (Bardgett, Mommer & De Vries ).…”

Section: Plant Trait Effects On Ecosystem Service Potentialmentioning

confidence: 99%

“…Plants that alter surface microtopography by forming tussocks or hummocks also reduce near‐surface flow velocity (Bouma et al . ), as does a large amount of litter cover, particularly coarse woody debris (Corenblit et al . ).…”

Section: Plant Trait Effects On Ecosystem Service Potentialmentioning

confidence: 99%

See 2 more Smart Citations

Towards a trait‐based ecology of wetland vegetation

et al. 2017

View full text Add to dashboard Cite

Summary Functional traits mechanistically capture plant responses to environmental gradients as well as plant effects on ecosystem functioning. Yet most trait‐based theory stems from terrestrial systems and extension to other habitats can provide new insights. Wetlands differ from terrestrial systems in conditions (e.g. soil water saturation, anoxia, pH extremes), plant adaptations (e.g. aerenchyma, clonality, ubiquity of bryophytes) and important processes (e.g. denitrification, peat accumulation, methane emission). Wetland plant adaptations and trait (co‐)variation can be situated along major plant trait trade‐off axes (e.g. the resource economics spectrum), but soil saturation represents a complex stress gradient beyond a simple extension of commonly studied water availability gradients. Traits that affect ecosystem functioning overlap with patterns in terrestrial systems. But wetland‐specific traits that mediate plant effects on soil redox conditions, microbial communities and on water flow, as well as trait spectra of mosses, vary among wetland types. Synthesis. With increasing availability of quantitative plant traits a trait‐based ecology of wetlands is emerging, with the potential to advance process‐based understanding and prediction. We provide an interactive cause‐and‐effect framework that may guide research efforts to disentangle the multiple interacting processes involved in scaling from environmental conditions to ecosystem functioning via plant communities.

show abstract

“…Vegetation roughness coefficients used in hydrodynamic modelling comprise density, elasticity, shape and bendiness of the vegetation (Nepf ; Bouma et al . ; Camporeale et al . ).…”

Section: Plant Trait Effects On Ecosystem Service Potentialmentioning

confidence: 99%

Section: Plant Trait Effects On Ecosystem Service Potentialmentioning

confidence: 99%

See 1 more Smart Citation

Towards a trait‐based ecology of wetland vegetation

et al. 2017

View full text Add to dashboard Cite

show abstract

“…Within patches of pioneer plants (e.g., Spartina anglica tussocks), tidal currents are reduced and sediment accumulates, raising the plant in the tidal range and resulting in a positive feedback on plant growth. At the same time, the tidal currents accelerate and sediment erodes around the vegetation patches, leading to a negative feedback on plant growth between patches ( Figure 3B) [145,148,165,[177][178][179]. Both feedbacks are density-dependent and exhibit threshold behaviors, i.e., feedbacks only appear to start to influence system dynamics once a threshold plant shoot density is exceeded, and the intensity of the feedbacks increases with increasing shoot density [166].…”

Section: Salt Marshesmentioning

confidence: 99%

Multiple Stable States and Catastrophic Shifts in Coastal Wetlands: Progress, Challenges, and Opportunities in Validating Theory Using Remote Sensing and Other Methods

et al. 2015

View full text Add to dashboard Cite

Multiple stable states are established in coastal tidal wetlands (marshes, mangroves, deltas, seagrasses) by ecological, hydrological, and geomorphological feedbacks. Catastrophic shifts between states can be induced by gradual environmental change or by disturbance events. These feedbacks and outcomes are key to the sustainability and resilience of vegetated coastlines, especially as modulated by human activity, sea level rise, and climate change. Whereas multiple stable state theory has been invoked to model salt marsh responses to sediment supply and sea level change, there has been comparatively little empirical verification of the theory for salt marshes or other coastal wetlands. Especially lacking is long-term evidence documenting if or how stable states are established and maintained at ecosystem scales. Laboratory and field-plot studies are informative, but of necessarily limited spatial and temporal scope. For the purposes of long-term, coastal-scale monitoring, remote sensing is the best viable option. This review summarizes the above topics and highlights the emerging promise and challenges of using remote sensing-based analyses to validate coastal OPEN ACCESS Remote Sens. 2015, 7 10185 wetland dynamic state theories. This significant opportunity is further framed by a proposed list of scientific advances needed to more thoroughly develop the field.

show abstract

“…Scale-dependent feedbacks occur within ecosystems when the landscape pattern initially based on key physicochemical variables is reinforced and maintained by a positive feedback due to plant resource acquisition at the local scale (in-site short range activation) and when an inhibiting feedback occurs at a larger scale (off-site long range inhibition). In a flume experiment, Bouma et al (2013) showed that the spatial pattern of sediment erosion and deposition varies according to the specific morphological and biomechanical functional traits of engineer plant species. saltmarshes, coastal dunes, rivers) the combination of and balance between local in-site protective and accretive effects of engineer plants and their off-site erosive effects control biogeomorphic organization at the landscape scale (Gurnell et al, 2005;Temmerman et al, 2007;Murray et al, 2008;Van Wesenbeeck et al, 2008;Francis et al, 2009).…”

Section: Post-palaeozoic: Toward a Global Spread On Continents By Seementioning

confidence: 99%

Considering river structure and stability in the light of evolution: feedbacks between riparian vegetation and hydrogeomorphology

Corenblit

Davies

Steiger

et al. 2014

Earth Surf Processes Landf

101

View full text Add to dashboard Cite

show abstract

Organism traits determine the strength of scale-dependent bio-geomorphic feedbacks: A flume study on three intertidal plant species

Cited by 130 publications

References 44 publications

Towards a trait‐based ecology of wetland vegetation

Towards a trait‐based ecology of wetland vegetation

Multiple Stable States and Catastrophic Shifts in Coastal Wetlands: Progress, Challenges, and Opportunities in Validating Theory Using Remote Sensing and Other Methods

Considering river structure and stability in the light of evolution: feedbacks between riparian vegetation and hydrogeomorphology

Contact Info

Product

Resources

About