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NSF/USDA NIFA Supported  
  1. Lanier, A.L., J.R. Drabik, T. Heikkila, J. Bolson, M.C. Sukop, D.W. Watkins, J. Rehage, A. Mirchi, V. Engel, D. Letson (2018) Facilitating Integration in Interdisciplinary Research: Lessons from a South Florida Water, Sustainability, and Climate Project, Environmental Management. https://doi.org/10.1007/s00267-018-1099-1
  2. Stevens, P.W., R.E. Boucek, A.A. Trotter, J.L. Ritch, E.R. Johnson, C.P. Shea, D.A. Blewett, J.S. Rehage, 2018. Illustrating the value of cross-site comparisons: Habitat use by a large, euryhaline fish differs along a latitudinal gradient, Fisheries Research 208:42-48,
  3. Galen A. Treuer (2018) The psychology of Miami’s struggle to adapt to sea-level rise, Bulletin of the Atomic Scientists, 74:3, 155-159, DOI: 10.1080/00963402.2018.1461970
  4. Sinha, P., M.E. Mann, J.D. Fuentes, A. Mejia, L. Ning, W. Sun, T. He, J. Obeysekera, 2018, Downscaled rainfall projections in south Florida using self-organizing maps, Sci Total Environ 628:1110-1123, https://doi.org/10.1016/j.scitotenv.2018.04.144.
  5. J. D. Salas, J. Obeysekera & R. M. Vogel (2018): Techniques for assessing water infrastructure for nonstationary extreme events: a review, Hydrological Sciences Journal, https://dx.doi.org/10.1080/02626667.2018.1426858
  6. Treuer, G., K. Broad, R. Meyer, 2018, Using simulations to forecast homeowner response to sea level rise in South Florida: Will they stay or will they go?, Global Environmental Change 48:108-118 https://doi.org/10.1016/j.gloenvcha.2017.10.008
  7. Mirchi, A., D.W. Watkins, V. Engel, M.C. Sukop, J. Czajkowski, M. Bhat, J. Rehage, D. Letson, Y. Takatsuka, R. Weisskoff, 2018, A hydro-economic model of South Florida water resources system, Sci Total Environ 628–629:1531-1541, https://doi.org/10.1016/j.scitotenv.2018.02.111.
  8. Seeteram, N.A., V. Engel, P. Mozumder, 2018, Implications of a valuation study for ecological and social indicators associated with Everglades restoration, Sci Total Environ 627:792-801, https://dx.doi.org/10.1016/j.scitotenv.2018.01.152
  9. Takatsuka, Y. M.R. Niekus, J. Harrington, S. Feng, D. Watkins, A. Mirchi, H Nguyen, M.C. Sukop, 2018, Value of irrigation water usage in South Florida agriculture, Science of The Total Environment 626:486–496, https://doi.org/10.1016/j.scitotenv.2017.12.24
  10. Brown, C.E., , M.G. Bhat, J.S. Rehage,, A. Mirchi, R Boucek, V Engel, J.S. Ault, P Mozumder, D. Watkins, M. Sukop, Ecological-economic assessment of the effects of freshwater flow in the Florida Everglades on recreational fisheries, Science of The Total Environment 627:480–493, https://doi.org/10.1016/j.scitotenv.2018.01.038
  11. Sukop, M.C., M. Rogers, G. Guannel, J.M. Infanti, K. Hagemann., 2018, High temporal resolution modeling of the impact of rain, tides, and sea level rise on water table flooding in the Arch Creek basin, Sci Total Environ 616–617, March 2018, 1668-1688, https://doi.org/10.1016/j.scitotenv.2017.10.170
  12. Czajkowski, J., V. Engel, C. Martinez, A. Mirchi, D. Watkins, M.C. Sukop, J.D. Hughes, 2018, Economic impacts of urban flooding in South Florida: Potential consequences of managing groundwater to prevent salt water intrusion, Science of The Total Environment 621:465-478, https://doi.org/10.1016/j.scitotenv.2017.10.251
  13. Treuer, G., E. Koebele, A. Deslatte, K. Ernst, M. Garcia, and K. Manago (2017), A narrative method for analyzing transitions in urban water management: The case of the Miami-Dade Water and Sewer Department, Water Resour. Res., 53, 891–908, https://dx.doi.org/10.1002/2016WR019658.
  14. Ho, D. T., S. Ferrón, V. C. Engel, W. T. Anderson, P. K. Swart, R. M. Price, and L. Barbero (2017), Dissolved carbon biogeochemistry and export in mangrove-dominated rivers of the Florida Everglades, Biogeosciences, 14(9), 2543-2559, doi:10.5194/bg-14-2543-2017.
  15. Treuer, Galen, "Risk and the Response to Sea Level Rise in South Florida" (2017). Open Access Dissertations. 1928. https://scholarlyrepository.miami.edu/oa_dissertations/1928
  16. Obeysekera, J. and J Salas, 2016, Frequency of Recurrent Extremes under Nonstationarity, ASCE J. Hydrol. Eng, 21(5), https://doi.org/10.1061/(ASCE)HE.1943-5584.0001339
  17. Lanier, A.L. and M.C. Sukop 2016. Interdisciplinary Projects Require an Adaptive and Agile Management Approach: South Florida Water, Sustainability, and Climate Project Experience, World Environmental and Water Resources Congress 2016: Environmental, Sustainability, Groundwater, Hydraulic Fracturing, and Water Distribution Systems Analysis (184 - 189), https://doi.org/10.1061/9780784479865.019
  18. Regier, P, H Briceño, R Jaffé, 2016, Long-term environmental drivers of DOC fluxes: Linkages between management, hydrology and climate in a subtropical coastal estuary, Estuarine, Coastal and Shelf Science 182, Part A :112-122, https://doi.org/10.1016/j.ecss.2016.09.017.
  19. Regier P and Jaffé R (2016) Short-Term Dissolved Organic Carbon Dynamics Reflect Tidal, Water Management, and Precipitation Patterns in a Subtropical Estuary. Front. Mar.Sci.3:250. doi: http://dx.doi.org/10.3389/fmars.2016.00250
  20. Jerath, M., M. Bhat, V. H. Rivera-Monroy, E. Castañeda-Moyab, M. Simard, R.R. Twilley, 2016, The role of economic, policy, and ecological factors in estimating the value of carbon stocks in Everglades mangrove forests, South Florida, USA. In press in Envronmental Science and Policy, 66:160-169.
  21. Rehage, J. S., J. R. Blanchard, R. E. Boucek, J. J. Lorenz, and M. Robinson. 2016. Knocking back invasions: variable resistance and resilience to multiple cold spells in native vs. nonnative fishes. Ecosphere 7(6): e01268. 10.1002/ecs2.1268
  22. Stevens, P. W., D. A. Blewett, R. E. Boucek, J. S. Rehage, B. L. Winner, J. M. Young, J. A. Whittington, and R. Paperno. 2016. Resilience of a tropical sport fish population to a severe cold event varies across five estuaries in southern Florida. Ecosphere 7(8):e01400. 10.1002/ecs2.1400
  23. Mozumder, P., T. Randhir, W. F. Vásquez, M. Jerath* 2015. “Risk Perceptions and Adaptation to Climate Change: Survey Evidence from Maple Syrup Farmers”, International Journal of Ecological Economics and Statistics, 36 (4): 1-17.
  24. Boucek, R.E. & Rehage, J.S. A Tale of Two Fishes: Using Recreational Angler Records to Examine the Link Between Fish Catches and Floodplain Connections in a Subtropical Coastal River Estuaries and Coasts (2015) 38(Suppl 1): 124. https://doi.org/10.1007/s12237-013-9710-4
  25. Chatterjee, C. and Mozumder, P. 2015. “Hurricane Wilma, Utility Disruption and Household Wellbeing”, International Journal of Disaster Risk Reduction, 14 (4): 395–402. http://dx.doi.org/10.1016/j.ijdrr.2015.09.005
  26. J.S. Rehage, D.P. Lopez, M.Y. Anderson, J.E. Serafy, On the mismatch between salinity tolerance and preference for an invasive fish: A case for incorporating behavioral data into niche modeling, Journal of Experimental Marine Biology and Ecology, Volume 471, October 2015, Pages 58-63, ISSN 0022-0981, http://dx.doi.org/10.1016/j.jembe.2015.05.002
  27. Ho, D. T., S. Ferrón, V. C. Engel, L. G. Larsen, and J. G. Barr (2014), Air-water gas exchange and CO2 flux in a mangrove-dominated estuary, Geophys. Res. Lett., 41, 108–113, doi: 10.1002/2013GL058785.
  28. Boucek, R. E. and Rehage, J. S. (2014). Climate extremes drive changes in functional community structure. Global Change Biology. 20 1821. DOI: 10.1111/gcb.12574
  29. Boucek, R.E. & J.S. Rehage (2013). Examining the effectiveness of consumer diet sampling as a non-native detection tool in a sub-tropical estuary. Transactions of the American Fisheries Society. DOI: 10.1080/00028487.2013.862180
  30. Chatterjee, C. and Mozumder, P. (2014). Understanding Household Preferences for Hurricane Risk Mitigation Information: Evidence from Survey Responses. Risk Analysis. 34 984. DOI: 10.1111/risa.12196
  31. Ding He, Ralph N. Mead, Laura Belick, Oliva Pisani, Rudolf Jaffé (2014). Assessing source contributions to particulate organic matter in a subtropical estuary: A biomarker approach. Organic Geochemistry. 75 129. DOI: 10.1016/j.orggeochem.2014.06.012
  32. Eduard Ariza, Kenyon C. Lindeman, Pallab Mozumder, Daniel O. Suman (2014). Beach management in Florida: Assessing stakeholder perceptions on governance. Ocean & Coastal Management. 96 82. DOI: 10.1016/j.ocecoaman.2014.04.033
  33. Kaelin M. Cawley, Youhei Yamashita, Nagamitsu Maie and Rudolf Jaffé (2014). Using Optical Properties to Quantify Fringe Mangrove Inputs to the Dissolved Organic Matter (DOM) Pool in a Subtropical Estuary. Estuaries and Coasts. 37 399. DOI: 10.1007/s12237-013-9681-5
  34. Mozumder, P., Chowdhury, A., Vásquez, W., and Flugman, E. (2014). "Household Preferences for a Hurricane Mitigation Fund in Florida." Nat. Hazards Rev. , 10.1061/(ASCE)NH.1527-6996.0000170 , 04014031.
  35. Breithaupt, J. L., J.M. Smoak, T. J. Smith III, and C. J. Sanders (2014), Temporal variability of carbon and nutrient burial, sediment accretion, and mass accumulation over the past century in a carbonate platform mangrove forest of the Florida Everglades, J. Geophys. Res. Biogeosci., 119, doi:10.1002/2014JG002715.
  36. Ault, J.S., S.G. Smith, J.A. Browder, W. Nuttle, E.C. Franklin, G.T. DiNardo, and J.A. Bohnsack. 2014. Indicators for assessing the ecological and sustainability dynamics of southern Florida’s coral reef and coastal fisheries. Ecological Indicators (2014), DOI:10.1016/j.ecolind.2014.04.013
  37. Robertson, B.A., J.S. Rehage, and A. Sih, 2013, Ecological novelty and the emergence of evolutionary traps, Trends in Ecology & Evolution. DOI: 10.1016/j.tree.2013.04.004 Additional coverage: National Geographic
  38. Improved Forecasting of Water Demands for South Florida Based on Household and Business Sector Micro-Data, Richard Weisskoff, University of Miami, Dept of International Studies (economics). This paper estimates new water demand coefficients for 20 industrial sectors and for household use based on residential characteristics in South Florida. We begin with a monthly micro-file of all water users in Miami-Dade County for three consecutive years. We add house and building characteristics to the residential file, and employment and business sector codes to the industrial-and-commercial file. We then estimate demand functions for the industrial sectors and for different residential types. The result is a set of Florida-specific coefficients of water use which we then apply to our regional economic forecasting model. These estimates are superior to the IWR-MAIN and in-house models which have been shown to seriously understate long-term water use. (See Weisskoff, Economics of Everglades Restoration, Ch. 16). Our technique remedies the deficiencies of the off-the-shelf “standard” estimating models used in the past for South Florida. World Environmental & Water Resources Congress 2013, May 19-23, 2013, Cincinnati, Ohio  

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    This material is based upon work supported by the National Science Foundation under Grant No. EAR-1204762 Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.