@article {PIE487,
	title = {Determining the drivers of suspended sediment dynamics in tidal marsh-influenced estuaries using high-resolution ocean color remote sensing},
	journal = {Remote Sensing of Environment},
	volume = {240},
	year = {2020},
	note = {PI},
	keywords = {LTER-PIE, remote-sensing reflectance, river discharge, salt marsh, sediment budget, suspended sediment concentration, tidal asymmetry},
	doi = {10.1016/j.rse.2020.111682},
	author = {Zhang, X. and Fichot, C.G. and Baracco, C. and Guo, R. and Neugebauer, S. and Bengtsson, Z. and Ganju, N.K. and Fagherazzi, S.}
}
@article {zhang_divergence_2020,
	title = {Divergence of Sediment Fluxes Triggered by Sea-Level Rise Will Reshape Coastal Bays},
	journal = {Geophysical Research Letters},
	volume = {47},
	year = {2020},
	pages = {e2020GL087862},
	abstract = {Sediment budget and sediment availability are direct metrics for evaluating the resilience of coastal bays to sea-level rise (SLR). Here we use a high-resolution numerical model of a tidally dominated marsh-lagoon system to explore feedbacks between SLR and sediment dynamics. SLR augments tidal prism and inundation depth, facilitating sediment deposition on the marsh platform. At the same time, our results indicate that SLR enhances ebb-dominated currents and increases sediment resuspension, reducing the sediment-trapping capacity of tidal flats and bays and leading to a negative sediment budget for the entire system. This bimodal distribution of sediments budget trajectories will have a profound impact on the morphology of coastal bays, increasing the difference in elevation between salt marshes and tidal flats and potentially affecting intertidal ecosystems. Our results also clearly indicate that landforms lower with respect to the tidal frame are more affected by SLR than salt marshes.},
	keywords = {bed composition, numerical modeling, salt marsh, sea-level rise, sediment budget, tidal flats},
	issn = {1944-8007},
	doi = {10.1029/2020GL087862},
	url = {https://onlinelibrary.wiley.com/doi/abs/10.1029/2020GL087862},
	author = {Zhang, Xiaohe and Leonardi, Nicoletta and Donatelli, Carmine and Fagherazzi, Sergio}
}
@article {PIE492,
	title = {Improving predictions of salt marsh evolution through better integration of data and models.},
	journal = {Annual Review of Marine Science},
	volume = {12},
	year = {2020},
	note = {PI Synthesis},
	pages = {389-413},
	keywords = {disturbance, LTER-PIE, marsh accretion, marsh-edge erosion, morphodynamic modeling, sea level rise, sediment budget, storm surge},
	doi = {10.1146/annurev-marine-010419-010610},
	author = {Wiberg, P.L. and Fagherazzi, S. and Kirwan, M.L.}
}
