PIE LTER Publications

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Watson E.B., Wigand C., Oczkowski A.J., Sundberg K., Vendettuoli D., Jayaraman S., Saliba K., Morris J.T..  2015.  Ulva additions alter soil biogeochemistry and negatively impact Spartina alterniflora growth. Marine Ecological Progress Series. 532:59-72.
Clement J., Holmes R.M., Peterson B.J., Pinlay G..  2004.  Isotopic investigation of nitrogen retention in a riparian ecosystem.. Journal of Applied Ecology. 40:1035-1048.
Pease K.M, Claessens L., Hopkinson C., Rastetter E., Vallino J., Kilham N..  1999.  Ipswich River nutrient dynamics: Preliminary assessment of a simple nitrogen-processing model. Biological Bulletin. 197:289-290.
Yoo G..  2018.  Investigations of pond metabolism in temperate salt marshes of Massachusetts. BS
Luciano K.E..  2007.  Investigation into the relationship between morphology and tidal flux in ditched and non-ditched salt marsh creek systems, Rowley, Massachusetts. B.S.
Wan Z., Vallino J..  2005.  An inverse ecosystem model of year-to-year variations with first order approximation to the annual mean fluxes.. Ecological Modeling. 187:369-388.
Geyer W.R, Morris J., Prahl F., Jay D.  2000.  Interaction between physical processes and ecosystem structure: A comparative approach.. Estuarine Science: A Synthetic Approach to Research and Practice. :177-206.
Bauer C..  2018.  Interacting effects of genotype and the environment on tallform Spartina alterniflora. MS
Aldwaik S., Pontius, Jr. R.G..  2012.  Intensity Analysis to Unify Measurements of Size and Stationarity of Land Changes by Interval, Category, and Transition.. Landscape and Urban Planning. 106:103-114.
Quan B, Pontius RGilmore, Song H.  2020.  Intensity Analysis to communicate land change during three time intervals in two regions of Quanzhou City, China. GIScience & Remote Sensing. 57:21–36.
Quan B., Jr R.G.Pontius, H. S.  2019.  Intensity Analysis to communicate land change during three time intervals in two regions of Quanzhou City, China.. GIScience & Remote Sensing.
Varga O.G., Pontius, Jr. R.G., Singh S.K., Szabo S..  2019.  Intensity Analysis and the Figure of Merit’s components for assessment of a Cellular Automata – Markov simulation model. Ecological Indicators.
Castagno KA, Jiménez‐Robles AM, Donnelly JP, Wiberg PL, Fenster MS, Fagherazzi S.  2018.  Intense Storms Increase the Stability of Tidal Bays. Geophysical Research Letters. 45:5491–5500.
Morris J.T, Porter D., Neet M., Noble P.A., Schmidt L., Lapine L.A., Jensen J..  2005.  Integrating LIDAR, multispectral imagery and neural network modeling techniques for marsh classification.. International Journal of Remote Sensing. 26:5221-5234.
Shafizadeh-Moghadam H, Minaei M, Jr RGilmore Po, Asghari A, Dadashpoor H.  2021.  Integrating a Forward Feature Selection algorithm, Random Forest, and Cellular Automata to extrapolate urban growth in the Tehran-Karaj Region of Iran. Computers, Environment and Urban Systems. 87:101595.
Pellerin B.A.  2004.  The influence of urbanization on runoff generation and stream chemistry in Massachusetts watersheds.. Ph.D.
Hopkinson C.S, Giblin A.E., Garritt R.H., Tucker J., Hullar M.A.J..  1998.  Influence of the benthos on growth of planktonic estuarine bacteria . Aquatic Microbial Ecology. 16:109-118.
Komarow S., Young T., Deegan L., Garritt R..  1999.  Influence of marsh flooding on the abundance and growth of Fundulus heteroclitus in salt marsh creeks. Biological Bulletin. 197:299-300.
Mineau M.M., Wollheim W.M., Stewart R.J..  2015.  An index to characterize the spatial distribution of land use within watersheds and implications for river network nutrient removal and export. Geophysical Research Letters. 42
Bowen J.L., Crump B.C., Deegan L.A., Hobbie J.E..  2009.  Increased supply of ambient nitrogen has minimal effect on salt marsh bacterial production. Limnology and Oceanography . 54:713-722.
Yang Q., Tian H., Friedrichs M.A.M., Hopkinson C.S., Lu C., Najjar R.G..  2015.  Increased nitrogen export from eastern North America to the Atlantic Ocean due to climatic and anthropogenic changes during 1901–2008. Journal of Geophysical Research: Biogeosciences. 120:1046-1068.
Wiberg P.L., Fagherazzi S., Kirwan M.L..  2020.  Improving predictions of salt marsh evolution through better integration of data and models.. Annual Review of Marine Science. 12:389-413.
Vallino J..  2000.  Improving marine ecosystem models: Use of data assimilation and mesocosm experiments.. Journal of Marine Research. 58:117-164.
Parmentier B., Pontius, Jr. R.G..  2007.  Improvements in the use of the ROC statistic for landscape ecology. Conference proceedings of the World Congress of the International Association for Landscape Ecology. :2.