Relationships between macrozoobenthos and habitat characteristics in an intensively used area of the Dutch coastal zone

Jong, Maarten F. de; Baptist, M.J.; Lindeboom, H.J.; Hoekstra, P.

doi:10.1093/icesjms/fsv060

Cited by 19 publications

(23 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Table 1, and the initial biomass is Table 1 (a) (b) f eq In order to represent the influence of morphological processes on the benthic biomass, we let the carrying capacity be a function of the bottom shear stress. It is widely accepted that the bottom shear stress is a suitable predictor for the distribution of benthic organisms (e.g., de Jong et al [18]). Therefore, the correction factor for the carrying capacity in Eq.…”

Section: Coupling Coefficientsmentioning

confidence: 99%

Modelling the two-way coupling of tidal sand waves and benthic organisms: a linear stability approach

Damveld¹,

Roos²,

Borsje³

et al. 2019

Environ Fluid Mech

View full text Add to dashboard Cite

We use a linear stability approach to develop a process-based morphodynamic model including a two-way coupling between tidal sand wave dynamics and benthic organisms. With this model we are able to study both the effect of benthic organisms on the hydro-and sediment dynamics, and the effect of spatial and temporal environmental variations on the distribution of these organisms. Specifically, we include two coupling processes: the effect of the biomass of the organisms on the bottom slip parameter, and the effect of shear stress variations on the biological carrying capacity. We discuss the differences and similarities between the methodology used in this work and that from 'traditional' (morphodynamics only) stability modelling studies. Here, we end up with a 2 × 2 linear eigenvalue problem, which leads to two distinct eigenmodes for each topographic wave number. These eigenmodes control the growth and migration properties of both sand waves and benthic organisms (biomass). Apart from hydrodynamic forcing, the biomass also grows autonomously, which results in a changing fastest growing mode (FGM, i.e. the preferred wavelength) over time. As a result, in contrast to 'traditional' stability modelling studies, the FGM for a certain model outcome does not necessarily have to be dominant in the field. Therefore, we also analysed the temporal evolution of an initial bed hump (without perturbing biomass) and of an initial biomass hump (without perturbing topography). It turns out that these local disturbances may trigger the combined growth of sand waves and spatially varying biomass patterns. Moreover, the results reveal that the autonomous benthic growth significantly influences the growth rate of sand waves. Finally, we show that biomass maxima tend to concentrate in the region around the trough and lee side slope of sand waves, which corresponds to observations in the field.

show abstract

Section: Coupling Coefficientsmentioning

confidence: 99%

Modelling the two-way coupling of tidal sand waves and benthic organisms: a linear stability approach

Damveld¹,

Roos²,

Borsje³

et al. 2019

Environ Fluid Mech

View full text Add to dashboard Cite

show abstract

“…2001; De Jong et al . 2015b). Therefore, the carrying capacity is written as

φ_{eq} ((), τ_{normalb}) = φ_{eq, flat} ([], ((), τ_{b,flat} - {⟨ (||, τ_{normalb}) ⟩}_{tide}) κ_{eq} + 1)

where φ eq,flat and τ b,flat are the flat bed carrying capacity and bed shear stress, respectively.…”

Section: Model Formulationmentioning

confidence: 99%

“…2008; De Jong et al . 2015b). The tubes of this worm protrude a few centimetres into the water column, affecting the thin boundary layer above the bed (Friedrichs et al .…”

Section: Introductionmentioning

confidence: 99%

Biogeomorphology in the marine landscape: Modelling the feedbacks between patches of the polychaete worm Lanice conchilega and tidal sand waves

Damveld

Borsje

Roos

et al. 2020

Earth Surf Processes Landf

View full text Add to dashboard Cite

Tidal sand waves are dynamic bedforms found in coastal shelf seas. Moreover, these areas are inhabited by numerous benthic species, of which the spatial distribution is linked to the morphological structure of sand waves. In particular, the tube‐building worm Lanice conchilegais of interest as this organism forms small mounds on the seabed, which provide shelter to other organisms. We investigate how the interactions between small‐scale mounds (height ∼⃒dm) and large‐scale sand waves (height ∼⃒m) shape the bed of the marine environment. To this end, we present a two‐way coupled process‐based model of sand waves and tube‐building worm patches in Delft3D. The population density evolves according to a general law of logistic growth, with the bed shear stress controlling the carrying capacity. Worm patches are randomly seeded and the tubes are mimicked by small cylinders that influence flow and turbulence, thereby altering sediment dynamics. Model results relate the patches with the highest worm densities to the sand wave troughs, which qualitatively agrees with field observations. Furthermore, the L. conchilegatubes trigger the formation of sandy mounds on the seabed. Because of the population density distribution, the mounds in the troughs can be several centimetres higher than on the crests. Regarding sand wave morphology, the combination of patches and mounds are found to shorten the time‐to‐equilibrium. Also, if the initial bed comprised small sinusoidal sand waves, the equilibrium wave height decreased with a few decimetres compared to the situation without worm patches. As the timescale of mound formation (years) is shorter than that of sand wave evolution (decades), the mounds induce (and accelerate) sand wave growth on a similar spatial scale to the mounds. Initially, this leads to shorter sand waves than they would be in an abiotic environment. However, near equilibrium the wavelengths tend towards their abiotic counterparts again. © 2020 The Authors. Earth Surface Processes and Landforms published by John Wiley & Sons Ltd

show abstract

“…On the regional scale (i.e., Southern Bight of the North Sea) environmental conditions such as morphology, sediment characteristics, chlorophyll-a, bed shear stress, and salinity are found to explain the benthic species distribution best [17]. Locally, at meso-scale (i.e., tidal ridges and sand wave systems) troughs and crests house different communities [18][19][20][21][22]. At the small scale of nearshore bars, the number of species increases with depth and distance offshore, with a possible increased species diversity in the troughs of the bar system [23].…”

Section: Introductionmentioning

confidence: 99%

Benthic Species Distribution Linked to Morphological Features of a Barred Coast

Holzhauer

Borsje

Dalfsen³

et al. 2019

JMSE

View full text Add to dashboard Cite

The composition of benthic species communities in the nearshore zone is closely related to the hydrodynamic and morphodynamic conditions. Sustainable management of the coastal ecosystem requires knowledge about the natural dynamics as well as human-induced changes on the ecosystem. To improve our knowledge of the benthic species distribution along a dissipative sandy shore with multiple breaker bars, an extensive dataset was collected in the nearshore zone of the barrier islands Ameland and Schiermonnikoog in the Dutch North Sea. From 2010 to 2014, every year, approximately 180 grab samples along 18 cross-shore transects were collected and analyzed for sediment characteristics and macrobenthic species composition. Mixed-effect-models and partial redundancy analysis were used to analyze the importance of morphological features (i.e., slopes, bar crests, and troughs) as an explanatory variable for the benthic species distribution. The results indicate that the morphological features in themselves explain three times more variation than the environmental parameters used. This demonstrates the importance of morphological features as a factor in explaining the distribution of benthic species communities in the nearshore. Detailed information on morphological features is easy to obtain from bathymetry maps or visual inspection. Incorporating morphological features in species distribution models will therefore help to improve sustainable management of our valuable sandy coastal systems.

show abstract

Relationships between macrozoobenthos and habitat characteristics in an intensively used area of the Dutch coastal zone

Cited by 19 publications

References 43 publications

Modelling the two-way coupling of tidal sand waves and benthic organisms: a linear stability approach

Modelling the two-way coupling of tidal sand waves and benthic organisms: a linear stability approach

Biogeomorphology in the marine landscape: Modelling the feedbacks between patches of the polychaete worm Lanice conchilega and tidal sand waves

Benthic Species Distribution Linked to Morphological Features of a Barred Coast

Contact Info

Product

Resources

About