@article {xu_modeling_2022, title = {Modeling the Dynamics of Salt Marsh Development in Coastal Land Reclamation}, journal = {Geophysical Research Letters}, volume = {49}, year = {2022}, pages = {e2021GL095559}, abstract = {The valuable ecosystem services of salt marshes are spurring marsh restoration projects around the world. However, it is difficult to determine the final vegetated area based on physical drivers. Herein, we use a 3D fully coupled vegetation-hydrodynamic-morphological modeling system to simulate the final vegetation cover and the timescale to reach it under various forcing conditions. Marsh development in our simulations can be divided in three distinctive phases: A preparation phase characterized by sediment accumulation in the absence of vegetation, an encroachment phase in which the vegetated area grows, and an adjustment phase in which the vegetated area remains relatively constant while marsh accretes vertically to compensate for sea level rise. Sediment concentration, settling velocity, sea level rise, and tidal range each comparably affect equilibrium coverage and timescale in different ways. Our simulations show that the Unvegetated-Vegetated Ratio also relates to sediment budget in marsh development under most conditions.}, keywords = {COAWST, expectance of marsh coverage, land reclamation, marsh restoration, phases of marsh development, vegetation dynamics}, issn = {1944-8007}, doi = {10.1029/2021GL095559}, url = {https://onlinelibrary.wiley.com/doi/abs/10.1029/2021GL095559}, author = {Xu, Yiyang and Kalra, Tarandeep S. and Ganju, Neil K. and Fagherazzi, Sergio} } @article {jin_river_2021, title = {River body extraction from sentinel-{2A}/{B} {MSI} images based on an adaptive multi-scale region growth method}, journal = {Remote Sensing of Environment}, volume = {255}, year = {2021}, month = {mar}, pages = {112297}, issn = {00344257}, doi = {10.1016/j.rse.2021.112297}, url = {https://linkinghub.elsevier.com/retrieve/pii/S0034425721000158}, author = {Jin, Song and Liu, Yongxue and Fagherazzi, Sergio and Mi, Huan and Qiao, Gang and Xu, Wenxuan and Sun, Chao and Liu, Yongchao and Zhao, Bingxue and Fichot, C{\'e}dric G.} } @article {liu_consumer_2020, title = {Consumer control and abiotic stresses constrain coastal saltmarsh restoration}, journal = {Journal of Environmental Management}, volume = {274}, year = {2020}, month = {nov}, pages = {111110}, issn = {03014797}, doi = {10.1016/j.jenvman.2020.111110}, url = {https://linkinghub.elsevier.com/retrieve/pii/S0301479720310379}, author = {Liu, Zezheng and Fagherazzi, Sergio and Ma, Xu and Xie, Chengjie and Li, Jin and Cui, Baoshan} } @article {liu_efficient_2020, title = {Efficient tidal channel networks alleviate the drought-induced die-off of salt marshes: {Implications} for coastal restoration and management}, journal = {Science of The Total Environment}, volume = {749}, year = {2020}, pages = {141493}, issn = {00489697}, doi = {10.1016/j.scitotenv.2020.141493}, url = {https://linkinghub.elsevier.com/retrieve/pii/S0048969720350221}, author = {Liu, Zezheng and Fagherazzi, Sergio and She, Xiaojun and Ma, Xu and Xie, Chengjie and Cui, Baoshan} } @article {xie_enhanced_2020, title = {Enhanced {Intensity} {Analysis} to {Quantify} {Categorical} {Change} and to {Identify} {Suspicious} {Land} {Transitions}: {A} {Case} {Study} of {Nanchang}, {China}}, journal = {Remote Sensing}, volume = {12}, number = {20}, year = {2020}, pages = {3323}, abstract = {Conventional methods to analyze a transition matrix do not offer in-depth signals concerning land changes. The land change community needs an effective approach to visualize both the size and intensity of land transitions while considering possible map errors. We propose a framework that integrates error analysis, intensity analysis, and difference components, and then uses the framework to analyze land change in Nanchang, the capital city of Jiangxi province, China. We used remotely sensed data for six categories at four time points: 1989, 2000, 2008, and 2016. We had a confusion matrix for only 2016, which estimated that the map of 2016 had a 12\% error, while the temporal difference during 2008{\textendash}2016 was 22\% of the spatial extent. Our tools revealed suspected errors at other years by analyzing the patterns of temporal difference. For example, the largest component of temporal difference was exchange, which could indicate map errors. Our framework identified categories that gained during one time interval then lost during the subsequent time interval, which raised the suspicion of map error. This proposed framework facilitated visualization of the size and intensity of land transitions while illustrating possible map errors that the profession routinely ignores.}, issn = {2072-4292}, doi = {10.3390/rs12203323}, url = {https://www.mdpi.com/2072-4292/12/20/3323}, author = {Xie, Zheyu and Pontius Jr, Robert Gilmore and Huang, Jinliang and Nitivattananon, Vilas} } @article {wilcox_asynchrony_2017, title = {Asynchrony among local communities stabilises ecosystem function of metacommunities}, journal = {Ecology Letters}, volume = {20}, number = {12}, year = {2017}, month = {dec}, pages = {1534{\textendash}1545}, issn = {1461-023X, 1461-0248}, doi = {10.1111/ele.12861}, url = {https://onlinelibrary.wiley.com/doi/10.1111/ele.12861}, author = {Wilcox, Kevin R. and Tredennick, Andrew T. and Koerner, Sally E. and Grman, Emily and Hallett, Lauren M. and Avolio, Meghan L. and La Pierre, Kimberly J. and Houseman, Gregory R. and Isbell, Forest and Johnson, David Samuel and Alatalo, Juha M. and Baldwin, Andrew H. and Bork, Edward W. and Boughton, Elizabeth H. and Bowman, William D. and Britton, Andrea J. and Cahill, James F. and Collins, Scott L. and Du, Guozhen and Eskelinen, Anu and Gough, Laura and Jentsch, Anke and Kern, Christel and Klanderud, Kari and Knapp, Alan K. and Kreyling, Juergen and Luo, Yiqi and McLaren, Jennie R. and Megonigal, Patrick and Onipchenko, Vladimir and Prev{\'e}y, Janet and Price, Jodi N. and Robinson, Clare H. and Sala, Osvaldo E. and Smith, Melinda D. and Soudzilovskaia, Nadejda A. and Souza, Lara and Tilman, David and White, Shannon R. and Xu, Zhuwen and Yahdjian, Laura and Yu, Qiang and Zhang, Pengfei and Zhang, Yunhai}, editor = {Gurevitch, Jessica} } @mastersthesis {PIE278, title = {Comparison of flow matrix and Markov matrix}, volume = {MS }, year = {2011}, note = {Grad}, school = {Clark University}, type = {mastersthesis}, address = {Worcester, MA}, keywords = {geospatial modeling, LTER-PIE, matrices}, author = {Xiang, W.} }