PIE LTER Publications

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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.
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.
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.
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
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.
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.
Pellerin B.A.  2004.  The influence of urbanization on runoff generation and stream chemistry in Massachusetts watersheds.. Ph.D.
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.
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.
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.
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.
Bauer C..  2018.  Interacting effects of genotype and the environment on tallform Spartina alterniflora. MS
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.
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.
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.
Yoo G..  2018.  Investigations of pond metabolism in temperate salt marshes of Massachusetts. BS
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.
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.
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.

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