A multi-scale approach for simulating tidal marsh evolution

Nunez, Karinna; Zhang, Yinglong J.; Herman, Julie; Reay, William G.; Hershner, Carlton

doi:10.1007/s10236-020-01380-6

Cited by 4 publications

(3 citation statements)

References 88 publications

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“…Blooms of M. polykrikoides are usually patchy with local accumulations due to algal behavior and physical transport. The superior boundary fitting and local refinement enable unstructured-grid models to perform better in regions with complex bathymetry and shoreline geometry (Nunez et al 2020). The present hydrodynamic model did not activate the wave module, yet wave effects, for example, wave-induced sea surface roughness and Stokes drift advection, are suggested to be important factors impacting simulated particle trajectories, especially during wind events (Mao and Xia 2020).…”

Section: Lpt-bio Modelmentioning

confidence: 91%

“…The LPT models are useful for predicting the transport and spatial distributions of HABs (Fernandes-Salvador et al 2021) and detecting bloom initiation sites (Zhang et al 2020;Clark et al 2021). In principle, the tracked particles could spread over the whole model domain if they are allowed to disperse randomly.…”

Section: Necessity Of Incorporating Mixotrophy and Algal Bloom Dynami...mentioning

confidence: 99%

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Biophysical interactions control the progression of harmful algal blooms in Chesapeake Bay: A novel Lagrangian particle tracking model with mixotrophic growth and vertical migration

Xiong

Shen

Qin

et al. 2023

Limnol Oceanogr Letters

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Climate change and nutrient pollution contribute to the expanding global footprint of harmful algal blooms. To better predict their spatial distributions and disentangle biophysical controls, a novel Lagrangian particle tracking and biological (LPT‐Bio) model was developed with a high‐resolution numerical model and remote sensing. The LPT‐Bio model integrates the advantages of Lagrangian and Eulerian approaches by explicitly simulating algal bloom dynamics, algal biomass change, and diel vertical migrations along predicted trajectories. The model successfully captured the intensity and extent of the 2020 Margalefidinium polykrikoides bloom in the lower Chesapeake Bay and resolved fine‐scale structures of bloom patchiness, demonstrating a reliable prediction skill for 7–10 d. The fully coupled LPT‐Bio model initialized/calibrated by remote sensing and controlled by ambient environmental conditions appeared to be a powerful approach to predicting transport pathways, identifying bloom hotspots, resolving concentration variations at subgrid scales, and investigating responses of HABs to changing environmental conditions and human interference.

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Section: Lpt-bio Modelmentioning

confidence: 91%

Section: Necessity Of Incorporating Mixotrophy and Algal Bloom Dynami...mentioning

confidence: 99%

Biophysical interactions control the progression of harmful algal blooms in Chesapeake Bay: A novel Lagrangian particle tracking model with mixotrophic growth and vertical migration

Xiong

Shen

Qin

et al. 2023

Limnol Oceanogr Letters

Self Cite

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“…Its ecological significance reveals the function of nutrients in tides in maintaining ecological health and the material balance between land and sea [ 17 , 18 ]. When seawater immerses the surface of the wetland in the intertidal zone, a process of material exchange and energy exchange occurs [ 19 , 20 ]. However, due to the differences in the spatial locations of different intertidal wetland ecosystems, there are spatial differences in the material exchange function of the intertidal zone.…”

Section: Introductionmentioning

confidence: 99%

Temporal and Spatial Changes in the Material Exchange Function of Coastal Intertidal Wetland—A Case Study of Yancheng Intertidal Wetland

Dai

Liu

2022

IJERPH

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As a transition zone between the terrestrial ecosystem and the marine ecosystem, coastal intertidal wetland provides an important place for material circulation and energy exchange, and it is nature’s most precious resource. The ecological health of intertidal wetlands is an important prerequisite for sustainable green development. The material exchange function objectively and accurately reflects the material balance and ecological health of intertidal wetlands in the coastal zone. This paper uses remote sensing, geographic information technology, and model methods to objectively and accurately assess the temporal and spatial changes in the material exchange function of intertidal wetlands, providing a feasible method for studying the material exchange function of coastal wetlands. The material exchange capacity of wetlands in intertidal zones is affected by many factors, such as vegetation, topography, and base soil. After the invasion of the alien species Spartina alterniflora Lois., the elevation of the Suaeda salsa beach increased by 0.3 m. The elevation of the Phragmites australis beach rose by 0.14 m. The average elevation of S. alterniflora increased by 1.24 m. The material exchange capacity of the intertidal zone decreased by 25%. The functioning of the material exchange between sea and land changed significantly, and the area with a high level of material exchange function capacity was reduced by 71%.

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Coastal setting determines tidal marsh sustainability with accelerating sea-level rise

Nunez

Zhang

Bilkovic

et al. 2021

Ocean & Coastal Management

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A multi-scale approach for simulating tidal marsh evolution

Cited by 4 publications

References 88 publications

Biophysical interactions control the progression of harmful algal blooms in Chesapeake Bay: A novel Lagrangian particle tracking model with mixotrophic growth and vertical migration

Biophysical interactions control the progression of harmful algal blooms in Chesapeake Bay: A novel Lagrangian particle tracking model with mixotrophic growth and vertical migration

Temporal and Spatial Changes in the Material Exchange Function of Coastal Intertidal Wetland—A Case Study of Yancheng Intertidal Wetland

Coastal setting determines tidal marsh sustainability with accelerating sea-level rise

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