PIE LTER Publications
Improving predictions of salt marsh evolution through better integration of data and models.. Annual Review of Marine Science. 12:389-413.
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2020. Intensity Analysis and the Figure of Merit’s components for assessment of a Cellular Automata – Markov simulation model. Ecological Indicators.
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2019. Intensity Analysis to communicate land change during three time intervals in two regions of Quanzhou City, China.. GIScience & Remote Sensing.
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2018.
Implications of using 2m versus 30 m spatial resolution data for suburban residential land change modeling. Journal of Environmental Informatics. 25:1-13.
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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.
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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
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2015. Ulva additions alter soil biogeochemistry and negatively impact Spartina alterniflora growth. Marine Ecological Progress Series. 532:59-72.
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2015. .
2013.
Impacts of long-term fertilization on salt marsh tidal creek benthic nutrient and N2 gas fluxes. Marine Ecological Progress Series. 471:11-22.
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2012. Impacts of suburbanization on food web stoichiometry in detritus-based streams of New England.. Freshwater Science. 31:1202-1213.
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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.
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2010.
Impact of the dynamic feedback between sedimentation, sea level rise, and biomass production on near surface marsh stratigraphy and carbon accumulation. Estuarine, Coastal and Shelf Science. 82:377-389.
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2009. Increased supply of ambient nitrogen has minimal effect on salt marsh bacterial production. Limnology and Oceanography . 54:713-722.
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2009. .
2008.
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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.
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2007. Integrating LIDAR, multispectral imagery and neural network modeling techniques for marsh classification.. International Journal of Remote Sensing. 26:5221-5234.
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2005. An inverse ecosystem model of year-to-year variations with first order approximation to the annual mean fluxes.. Ecological Modeling. 187:369-388.
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2004.