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NSF/USDA NIFA Supported  
  
 
 
 
 
 
 
 
Publications
  1. 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,
    http://dx.doi.org/10.1016/j.envsci.2016.09.005
  2. 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
  3. 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
  4. 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.
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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.
  14. 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.
  15. 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
  16. 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
  17. 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.