@article {8838,
	title = {Image-based machine learning for monitoring the dynamics of deltaic islands in the Atchafalaya River Delta Complex between 1991 and 2019},
	journal = {Journal of Hydrology},
	volume = {623},
	year = {2023},
	month = {Jan-08-2023},
	pages = {129814},
	issn = {00221694},
	doi = {10.1016/j.jhydrol.2023.129814},
	url = {https://linkinghub.elsevier.com/retrieve/pii/S0022169423007564},
	author = {Yang, Jiangjie and Dai, Zhijun and Lou, Yaying and Mei, Xuefei and Fagherazzi, Sergio}
}
@article {zhang_improving_2022,
	title = {Improving Channel Hydrological Connectivity in Coastal Hydrodynamic Models With Remotely Sensed Channel Networks},
	journal = {Journal of Geophysical Research: Earth Surface},
	volume = {127},
	year = {2022},
	pages = {e2021JF006294},
	abstract = {Coastal wetlands are nourished by rivers and periodical tidal flows through complex, interconnected channels. However, in hydrodynamic models, channel dimensions with respect to model grid size and uncertainties in topography preclude the correct propagation of tidal and riverine signals. It is therefore crucial to enhance channel geomorphic connectivity and simplify sub-channel features based on remotely sensed networks for practical computational applications. Here, we utilize channel networks derived from diverse remote sensing imagery as a baseline to build a \~{}10 m resolution hydrodynamic model that covers the Wax Lake Delta and adjacent wetlands (\~{}360 km2) in coastal Louisiana, USA. In this richly gauged system, intensive calibrations are conducted with 18 synchronous field-observations of water levels taken in 2016, and discharge data taken in 2021. We modify channel geometry, targeting realism in channel connectivity. The results show that a minimum channel depth of 2 m and a width of four grid elements (approximatively 40 m) are required to enable a realistic tidal propagation in wetland channels. The optimal depth for tidal propagation can be determined by a simplified cost function method that evaluates the competition between flow travel time and alteration of the volume of the channels. The integration of high spatial-resolution models and remote sensing imagery provides a general framework to improve models performance in salt marshes, mangroves, deltaic wetlands, and tidal flats.},
	keywords = {channel geometry, coastal numerical model, cost function, flow propagation, model performance, remote-sensed channel network},
	issn = {2169-9011},
	doi = {10.1029/2021JF006294},
	url = {https://onlinelibrary.wiley.com/doi/abs/10.1029/2021JF006294},
	author = {Zhang, Xiaohe and Wright, Kyle and Passalacqua, Paola and Simard, Marc and Fagherazzi, Sergio}
}
@article {alizad_integrated_2022,
	title = {Integrated Modeling of Dynamic Marsh Feedbacks and Evolution Under Sea-Level Rise in a Mesotidal Estuary (Plum Island, MA, USA)},
	journal = {Water Resources Research},
	volume = {58},
	year = {2022},
	pages = {e2022WR032225},
	abstract = {Around the world, wetland vulnerability to sea-level rise (SLR) depends on different factors including tidal regimes, topography, creeks and estuary geometry, sediment availability, vegetation type, etc. The Plum Island estuary (PIE) is a mesotidal wetland system on the east coast of the United States. This research applied a newly updated Hydro-MEM (integrated hydrodynamic-marsh) model to assess the impacts of intermediate-low (50 cm), intermediate (1 m), and intermediate-high (1.5 m) SLR on marsh evolution by the year 2100. Model advancements include capturing vegetation change, inorganic and below and aboveground organic matter portion of marsh platform accretion, and mudflat creation. Although the results indicate a low vulnerability marsh at the PIE, the vegetation changes from high to low marsh under all SLR scenarios (2\%{\textendash}22\%), with the higher bounds belonging to higher rise scenarios. Lower SLR produces more productive marsh (13\% gain in high productivity regions), whereas the highest SLR scenario causes increased tidal inundation, which leads to loss in productivity (12\% change from high to low productivity regions), generation of mudflats (17\% of the domain land), and marsh migration to higher lands. Sensitive nonlinear tidal flow changes, which may be increased or decreased with SLR as a result of mudflat creation, marsh migration, and bottom friction change, emphasize the importance of integrated modeling approaches that include dynamic marsh feedbacks in hydrodynamic modeling and varying hydrodynamic effects on the marsh system.},
	keywords = {hydro-MEM, mesotidal system, salt marsh, sea-level rise},
	issn = {1944-7973},
	doi = {10.1029/2022WR032225},
	url = {https://onlinelibrary.wiley.com/doi/abs/10.1029/2022WR032225},
	author = {Alizad, Karim and Morris, James T. and Bilskie, Matthew V. and Passeri, Davina L. and Hagen, Scott C.}
}
@article {shafizadeh-moghadam_integrating_2021,
	title = {Integrating a {Forward} {Feature} {Selection} algorithm, {Random} {Forest}, and {Cellular} {Automata} to extrapolate urban growth in the {Tehran}-{Karaj} {Region} of {Iran}},
	journal = {Computers, Environment and Urban Systems},
	volume = {87},
	year = {2021},
	month = {may},
	pages = {101595},
	issn = {01989715},
	doi = {10.1016/j.compenvurbsys.2021.101595},
	url = {https://linkinghub.elsevier.com/retrieve/pii/S0198971521000028},
	author = {Shafizadeh-Moghadam, Hossein and Minaei, Masoud and Pontius Jr, Robert Gilmore and Asghari, Ali and Dadashpoor, Hashem}
}
@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.}
}
@article {quan_intensity_2020,
	title = {Intensity {Analysis} to communicate land change during three time intervals in two regions of {Quanzhou} {City}, {China}},
	journal = {GIScience \& Remote Sensing},
	volume = {57},
	number = {1},
	year = {2020},
	month = {jan},
	pages = {21{\textendash}36},
	issn = {1548-1603, 1943-7226},
	doi = {10.1080/15481603.2019.1658420},
	url = {https://www.tandfonline.com/doi/full/10.1080/15481603.2019.1658420},
	author = {Quan, Bin and Pontius, Robert Gilmore and Song, Hui}
}
@article {PIE465,
	title = {Intensity Analysis and the Figure of Merit{\textquoteright}s components for assessment of a Cellular Automata {\textendash} Markov simulation model},
	journal = {Ecological Indicators},
	year = {2019},
	note = {PI},
	keywords = {CA-Markov, cellular-automata, figure of merit, intensity analysis, land change, LTER-PIE, Validation},
	doi = {10.1016/j.ecolind.2019.01.057},
	author = {Varga, O.G. and Pontius, R.G., Jr. and Singh, S.K. and Szabo, S.}
}
@article {PIE496,
	title = {Intensity Analysis to communicate land change during three time intervals in two regions of Quanzhou City, China.},
	journal = {GIScience \& Remote Sensing},
	year = {2019},
	note = {PI},
	keywords = {China, GIS, intensity analysis, land change, LTER-PIE, Quanzhou City, regionalization},
	doi = {10.1080/15481603.2019.1658420},
	author = {Quan, B. and Pontius Jr, R.G. and Song H.}
}
@article {castagno_intense_2018,
	title = {Intense {Storms} {Increase} the {Stability} of {Tidal} {Bays}},
	journal = {Geophysical Research Letters},
	volume = {45},
	number = {11},
	year = {2018},
	month = {jun},
	pages = {5491{\textendash}5500},
	issn = {0094-8276, 1944-8007},
	doi = {10.1029/2018GL078208},
	url = {https://onlinelibrary.wiley.com/doi/10.1029/2018GL078208},
	author = {Castagno, Katherine A. and Jim{\'e}nez-Robles, Alfonso M. and Donnelly, Jeffrey P. and Wiberg, Patricia L. and Fenster, Michael S. and Fagherazzi, Sergio}
}
@mastersthesis {PIE457,
	title = {Interacting effects of genotype and the environment on tallform Spartina alterniflora},
	volume = {MS},
	year = {2018},
	note = {Grad},
	school = {Villanova University},
	type = {mastersthesis},
	address = {Villanova, PA},
	keywords = {LTER-PIE, population dynamics, salt marsh, Spartina alterniflora},
	author = {Bauer, C.}
}
@thesis {PIE459,
	title = {Investigations of pond metabolism in temperate salt marshes of Massachusetts},
	volume = {BS},
	year = {2018},
	note = {Undergrad},
	school = {Boston College},
	type = {bachelorsthesis},
	address = {Boston, MA},
	keywords = {carbon dioxide, LTER-PIE, metabolism, organic matter, oxygen, primary production, salt marsh, salt marsh ponds},
	author = {Yoo, G.}
}
@mastersthesis {PIE453,
	title = {The impact of extreme storm surges on Mid Atlantic coastal forests},
	volume = {MS},
	year = {2017},
	note = {Grad},
	school = {Boston University},
	type = {mastersthesis},
	address = {Boston, MA},
	keywords = {coastal vegetation, disturbance, floods, LTER-PIE, primary production, storm surge, tree ring},
	author = {Fernandes, A.}
}
@article {PIE384,
	title = {Implications of using 2m versus 30 m spatial resolution data for suburban residential land change modeling},
	journal = {Journal of Environmental Informatics},
	volume = {25},
	number = {1},
	year = {2015},
	note = {PI Plum Data},
	pages = {1-13},
	keywords = {disturbance, GIS, land change modeling, LTER-PIE, spatial resolution},
	doi = {0.3808/jei.201400284},
	author = {Blanchard, S. and Pontius, R.G., Jr. and Urban, K.M.}
}
@article {PIE408,
	title = {Increased nitrogen export from eastern North America to the Atlantic Ocean due to climatic and anthropogenic changes during 1901{\textendash}2008},
	journal = {Journal of Geophysical Research: Biogeosciences},
	volume = {120},
	year = {2015},
	note = {PI Synthesis},
	pages = {1046-1068},
	keywords = {disturbance, inorganic nutrients, LTER-PIE, nitrogen export, rivers},
	doi = {10.1002/2014JG002763},
	author = {Yang, Q. and Tian, H. and Friedrichs, M.A.M. and Hopkinson, C.S. and Lu, C. and Najjar, R.G.}
}
@article {PIE403,
	title = {An index to characterize the spatial distribution of land use within watersheds and implications for river network nutrient removal and export},
	journal = {Geophysical Research Letters},
	volume = {42},
	year = {2015},
	note = {PI Plum Data},
	keywords = {inorganic nutrients, land use, LTER-PIE, nitrogen export, watershed},
	doi = {10.1002/2015GL064965},
	author = {Mineau, M.M. and Wollheim, W.M. and Stewart, R.J.}
}
@article {PIE395,
	title = {<i>Ulva</i> additions alter soil biogeochemistry and negatively impact Spartina alterniflora growth},
	journal = {Marine Ecological Progress Series},
	volume = {532},
	year = {2015},
	note = {PI},
	pages = {59-72},
	keywords = {allelochemicals, allelopathy, disturbance, eutrophic estuary, LTER-PIE, primary production, salt marsh, salt marsh loss},
	doi = {10.3354/meps11334},
	author = {Watson, E.B. and Wigand, C. and Oczkowski, A.J. and Sundberg, K. and Vendettuoli, D. and Jayaraman, S. and Saliba, K. and Morris, J.T.}
}
@article {PIE313,
	title = {The importance of dissimilatory nitrate reduction to ammonium (DNRA) in the nitrogen cycle of coastal ecosystems.},
	journal = {Oceanography},
	volume = {26},
	number = {3},
	year = {2013},
	note = {PI Plum Data},
	pages = {124-131},
	keywords = {coastal ecosystems, denitrification, inorganic nutrients, LTER-PIE, nitrogen cycle},
	doi = {10.5670/oceanog.2013.54},
	author = {Giblin, A.E. and Tobias, C.R. and Song, B. and Weston, N. and Banta, G.T. and Rivera-Monroy, V.H.}
}
@article {PIE323,
	title = {Impacts of long-term fertilization on salt marsh tidal creek benthic nutrient and N2 gas fluxes},
	journal = {Marine Ecological Progress Series},
	volume = {471},
	year = {2012},
	note = {Grad},
	pages = {11-22},
	keywords = {denitrification, DNRA, fertilization, inorganic nutrients, LTER-PIE, nitrogen loading, salt marsh ecosystem},
	doi = {10.3354/meps10013},
	author = {Vieillard, A.M. and Fulweiler, R.W.}
}
@article {PIE319,
	title = {Impacts of suburbanization on food web stoichiometry in detritus-based streams of New England.},
	journal = {Freshwater Science},
	volume = {31},
	year = {2012},
	note = {Grad},
	pages = {1202-1213},
	keywords = {detritus, food webs, inorganic nutrients, LTER-PIE, population dynamics, stoichiometry, stream, suburban, urban},
	doi = {10.1899/12-004.1},
	author = {Morse, N.B. and Wollheim, W.M. and Benstead, J.P. and McDowell, W.H.}
}
@article {PIE307,
	title = {Intensity Analysis to Unify Measurements of Size and Stationarity of Land Changes by Interval, Category, and Transition.},
	journal = {Landscape and Urban Planning},
	volume = {106},
	number = {1},
	year = {2012},
	note = {PI Plum Data},
	pages = {103-114},
	keywords = {disturbance, LTER-PIE, LULCC, map, matrix, pattern, process, stationary},
	doi = {10.1016/j.landurbplan.2012.02.010},
	author = {Aldwaik, S. and Pontius, R.G., Jr.}
}
@mastersthesis {PIE297,
	title = {Impacts of suburbanization on food web stoichiometry of detritus-based streams.},
	volume = {M.S.},
	year = {2010},
	note = {Grad},
	school = {University of New Hampshire},
	type = {mastersthesis},
	address = {Durham, N.H.},
	keywords = {disturbance, food web, land use, LTER-PIE, population dynamics, suburbanization},
	author = {Morse, N.B.}
}
@mastersthesis {PIE253,
	title = {Implications of using fine versus coarse spatial resolution data in LUCC},
	volume = {MS Degree},
	year = {2010},
	note = {Grad},
	school = {Clark University},
	type = {mastersthesis},
	address = {Worcester, MA},
	keywords = {disturbance, land cover, land use, LTER-PIE},
	author = {Blanchard, S.}
}
@article {PIE212,
	title = {Impact of the dynamic feedback between sedimentation, sea level rise, and biomass production on near surface marsh stratigraphy and carbon accumulation},
	journal = {Estuarine, Coastal and Shelf Science},
	volume = {82},
	year = {2009},
	note = {PI Synthesis},
	pages = {377-389},
	keywords = {accretion, belowground biomass, carbon storage, disturbance, LTER-PIE, organic matter, organic sediments, primary production, salt marsh, sea-level rise},
	doi = {10.1016/j.ecss.2009.01.028},
	author = {Mudd, S.M. and Howell, S. and Morris, J.T.}
}
@article {PIE209,
	title = {Increased supply of ambient nitrogen has minimal effect on salt marsh bacterial production},
	journal = {Limnology and Oceanography },
	volume = {54},
	number = {3},
	year = {2009},
	note = {PI Plum Data},
	pages = {713 - 722},
	keywords = {bacterial production, disturbance, inorganic nutrients, LTER-PIE, nitrogen, salt marsh},
	doi = {10.4319/lo.2009.54.3.0713},
	author = {Bowen, J.L. and Crump, B.C. and Deegan, L.A. and Hobbie, J.E.}
}
@phdthesis {PIE174,
	title = {The impact of increased Nitrogen Loading on Gaseous Loss of Nitrogen from Salt Marsh Sediments},
	volume = {Ph.D.},
	year = {2008},
	note = {Grad},
	school = {Boston University},
	type = {phdthesis},
	address = {Boston, MA},
	keywords = {LTER-PIE, nitrogen, nutrients, organic matter, salt marsh},
	author = {Koop-Jakobsen, K.}
}
@mastersthesis {PIE234,
	title = {The impact of drainage ditches on salt marsh flow patterns, sedimentation and morphology:  Rowley River, Massachusetts},
	volume = {M.S.},
	year = {2007},
	note = {Grad},
	school = {Virginia Institute of Marine Science},
	type = {mastersthesis},
	address = {Gloucester Point, VA},
	keywords = {disturbance, geomorphology, LTER-PIE, salt marsh, sedimentation},
	author = {Lemay, L.E.}
}
@conference {PIE183,
	title = {Improvements in the use of the ROC statistic for landscape ecology},
	booktitle = {Conference proceedings of the World Congress of the International Association for Landscape Ecology},
	year = {2007},
	note = {Grad},
	pages = {2},
	address = {Wageningen, The Netherlands },
	keywords = {landscape ecology, LTER-PIE, ROC statistic},
	author = {Parmentier, B. and Pontius, R.G., Jr.}
}
@thesis {PIE242,
	title = {Investigation into the relationship between morphology and tidal flux in ditched and non-ditched salt marsh creek systems, Rowley, Massachusetts},
	volume = {B.S.},
	year = {2007},
	note = {Undergrad},
	school = {Virginia Institute of Marine Science},
	type = {bachelorsthesis},
	address = {Gloucester Point, VA},
	keywords = {disturbance, ditches, geomorphology, LTER-PIE, salt marsh},
	author = {Luciano, K.E.}
}
@article {PIE152,
	title = {Integrating LIDAR, multispectral imagery and neural network modeling techniques for marsh classification.},
	journal = {International Journal of Remote Sensing},
	volume = {26},
	year = {2005},
	note = {PI Coastal},
	pages = {5221-5234},
	keywords = {disturbance, elevation, LiDAR, LTER-PIE, marsh classification, neural network modeling, population dynamics, primary production, sea level},
	doi = {10.1080/01431160500219018},
	author = {Morris, J. T. and Porter, D. and Neet, M. and Noble, P.A. and Schmidt, L. and Lapine, L.A. and Jensen, J.}
}
@article {PIE155,
	title = {An inverse ecosystem model of year-to-year variations with first order approximation to the annual mean fluxes.},
	journal = {Ecological Modeling},
	volume = {187},
	year = {2005},
	note = {PD Plum Data},
	pages = {369-388},
	keywords = {Ecosystem modeling, First order approximation, Flux analysis, Inverse model, LTER-PIE, Time scale separation},
	doi = {10.1016/j.ecolmodel.2005.02.003},
	author = {Wan, Z. and Vallino, J.}
}
@phdthesis {PIE131,
	title = {The influence of urbanization on runoff generation and stream chemistry in Massachusetts watersheds.},
	volume = {Ph.D.},
	year = {2004},
	note = {Grad},
	school = {University of New Hampshire},
	type = {phdthesis},
	address = {Durham, NH},
	keywords = {LTER-PIE, stream chemistry, urbanization, watershed},
	author = {Pellerin, B. A.}
}
@article {PIE120,
	title = {Isotopic investigation of nitrogen retention in a riparian ecosystem.},
	journal = {Journal of Applied Ecology},
	volume = {40},
	number = {6},
	year = {2004},
	note = {PI Plum Data},
	pages = {1035-1048},
	keywords = {isotopes, LTER-PIE, nitrogen, riparian},
	doi = {10.1111/j.1365-2664.2003.00854.x},
	author = {Clement, J. and Holmes, R.M. and Peterson, B.J. and Pinlay, G.}
}
@article {PIE104,
	title = {Importance of metabolism in the development of salt marsh ponds.},
	journal = {Biological Bulletin},
	volume = {205},
	year = {2003},
	note = {REU},
	pages = {248-249},
	keywords = {LTER-PIE, metabolism, oxygen, salt marsh ponds},
	doi = {10.2307/1543278},
	author = {Johnston, M. E. and Cavatorta, J.R. and Hopkinson, C.S. and Valentine, V.}
}
@mastersthesis {PIE78,
	title = {Identifying impermeable surface from remotely sensed images},
	volume = {M.S.},
	year = {2002},
	note = {Grad},
	school = {Clark University},
	type = {mastersthesis},
	address = {Worcester},
	keywords = {LTER-PIE, remote sensing, watershed},
	author = {Head, J.}
}
@article {PIE51,
	title = {Improving marine ecosystem models: Use of data assimilation and mesocosm experiments.},
	journal = {Journal of Marine Research},
	volume = {58},
	year = {2000},
	note = {PI Plum Data},
	pages = {117-164},
	keywords = {ecosystem, LTER-PIE, marine, mesocosm, model},
	doi = {10.1357/002224000321511223},
	author = {Vallino, J.}
}
@inbook {PIE30,
	title = {Interaction between physical processes and ecosystem structure: A comparative approach.},
	booktitle = {Estuarine Science: A Synthetic Approach to Research and Practice},
	year = {2000},
	note = {PI Synthesis},
	pages = {177-206},
	publisher = {Island Press},
	organization = {Island Press},
	address = {Washington, DC},
	keywords = {estuarine ecology, estuarine oceanography, LTER-PIE},
	author = {Geyer, W. R. and Morris, J. and Prahl, F. and Jay, D},
	editor = {J. Hobbie}
}
@article {PIE17,
	title = {Influence of marsh flooding on the abundance and growth of <i>Fundulus heteroclitus</i> in salt marsh creeks},
	journal = {Biological Bulletin},
	volume = {197},
	year = {1999},
	note = {REU},
	pages = {299-300},
	keywords = {abundance, flood tide, LTER-PIE, mummichog, tidal creek},
	doi = {10.2307/1542663},
	author = {Komarow, S. and Young, T. and Deegan, L. and Garritt, R.}
}
@article {PIE22,
	title = {Ipswich River nutrient dynamics: Preliminary assessment of a simple nitrogen-processing model},
	journal = {Biological Bulletin},
	volume = {197},
	year = {1999},
	note = {REU},
	pages = {289-290},
	keywords = {Ipswich River, land use, LTER-PIE, modeling, nutrient dynamics},
	doi = {10.2307/1542657},
	author = {Pease, K. M. and Claessens, L. and Hopkinson, C. and Rastetter, E. and Vallino, J. and Kilham, N.}
}
@article {PIE5,
	title = {Influence of the benthos on growth of planktonic estuarine bacteria },
	journal = {Aquatic Microbial Ecology},
	volume = {16},
	year = {1998},
	note = {PI Plum Data},
	pages = {109-118},
	keywords = {bacteria, bacterial growth, dissolved organic matter, DOC, DON, estuarine sediments, LTER-PIE, organic matter},
	doi = {10.3354/ame016109},
	author = {Hopkinson, C. S. and Giblin, A.E. and Garritt, R.H. and Tucker, J. and Hullar, M.A.J.}
}
