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.. 2009.
Impacts of long-term fertilization on salt marsh tidal creek benthic nutrient and N2 gas fluxes. Marine Ecological Progress Series. 471:11-22.. 2012.
Impacts of suburbanization on food web stoichiometry in detritus-based streams of New England.. Freshwater Science. 31:1202-1213.. 2012.
Implications of using 2m versus 30 m spatial resolution data for suburban residential land change modeling. Journal of Environmental Informatics. 25:1-13.. 2015.
The importance of dissimilatory nitrate reduction to ammonium (DNRA) in the nitrogen cycle of coastal ecosystems.. Oceanography. 26:124-131.. 2013.
Importance of metabolism in the development of salt marsh ponds.. Biological Bulletin. 205:248-249.. 2003.
Improving marine ecosystem models: Use of data assimilation and mesocosm experiments.. Journal of Marine Research. 58:117-164.. 2000.
Improving predictions of salt marsh evolution through better integration of data and models.. Annual Review of Marine Science. 12:389-413.. 2020.
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.. 2015.
Increased supply of ambient nitrogen has minimal effect on salt marsh bacterial production. Limnology and Oceanography . 54:713-722.. 2009.
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. 2015.
Influence of marsh flooding on the abundance and growth of Fundulus heteroclitus in salt marsh creeks. Biological Bulletin. 197:299-300.. 1999.
Influence of the benthos on growth of planktonic estuarine bacteria . Aquatic Microbial Ecology. 16:109-118.. 1998.
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.. 2021.
Integrating LIDAR, multispectral imagery and neural network modeling techniques for marsh classification.. International Journal of Remote Sensing. 26:5221-5234.. 2005.
Intense Storms Increase the Stability of Tidal Bays. Geophysical Research Letters. 45:5491–5500.. 2018.
Intensity Analysis and the Figure of Merit’s components for assessment of a Cellular Automata – Markov simulation model. Ecological Indicators.. 2019.
Intensity Analysis to communicate land change during three time intervals in two regions of Quanzhou City, China.. GIScience & Remote Sensing.. 2019.
Intensity Analysis to communicate land change during three time intervals in two regions of Quanzhou City, China. GIScience & Remote Sensing. 57:21–36.. 2020.
Intensity Analysis to Unify Measurements of Size and Stationarity of Land Changes by Interval, Category, and Transition.. Landscape and Urban Planning. 106:103-114.. 2012.
An inverse ecosystem model of year-to-year variations with first order approximation to the annual mean fluxes.. Ecological Modeling. 187:369-388.. 2005.
Ipswich River nutrient dynamics: Preliminary assessment of a simple nitrogen-processing model. Biological Bulletin. 197:289-290.. 1999.
Isotopic investigation of nitrogen retention in a riparian ecosystem.. Journal of Applied Ecology. 40:1035-1048.. 2004.
Ulva additions alter soil biogeochemistry and negatively impact Spartina alterniflora growth. Marine Ecological Progress Series. 532:59-72.. 2015.
Land change: Ecosystem responses to urbanization and pollution across climatic and societal gradients. Frontiers in Ecology and Environment. 6:264-272.. 2008.