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Betts, K., Sawyer, K., Standing Committee on Emerging Science for Environmental Health Decisions, Board on Life Sciences, Division on Earth and Life Studies, & National Research Council. (2015). Modeling the Health Risks of Climate Change: Workshop Summary. Washington, DC: National Academies Press.
Abstract: Climate change poses risks to human health and well-being through shifting weather patterns, increases in frequency and intensity of heat waves and other extreme weather events, rising sea levels, ocean acidification, and other environmental effects. Those risks occur against a backdrop of changing socioeconomic conditions, medical technology, population demographics, environmental conditions, and other factors that are important in determining health. Models of health risks that reflect how health determinants and climate changes vary in time and space are needed so that we can inform adaptation efforts and reduce or prevent adverse health effects. Robust health risk models could also help to inform national and international discussions about climate policies and the economic consequences of action and inaction.
Displacement Solutions. (2015). One Step at a Time: The Relocation Process of the Gardi Sugdub Community in Gunayala, Panama.
Emrich, C. T., Morath, D. P., Bowser, G. C., & Reeves, R. (2014). Climate-Sensitive Hazards in Florida: Identifying and Prioritizing Threats to Build Resilience against Climate Effects. Hazards and Vulnerability Research Institute.
Fiske, S. J., Crate, S.A., Crumley, C.L., Galvin, K., Lazrus, H., Lucero, L. Oliver-Smith, A., Orlove, B., Strauss, S., Wilk, R. (2014). Changing the Atmosphere: Anthropology and Climate Change. Arlington, VA: American Anthropological Association.
Florida Atlantic University. (2012). Summary Update/Information Packet.
Frank, K., Volk, M., & Jourdan, D. (2015). Planning for Sea Level Rise in the Matanzas Basin: Opportunities for Adaptation. Gainesville, FL: University of Florida.
Garces, K. P., Bloetscher, F., Mitsova, D., Chung-Bridges, K., & Hamilton, K. (2016). Health and Sea-level rise: Impacts on South Florida. West Palm Beach, FL: Florida Institute for Health Innovation.
Hall, J. A., Gill, S, Obeysekera, J., Sweet, W., Knuuti, K., & Marburger, J. (2016). Regional Sea Level Scenarios for Coastal Risk Management: Managing the Uncertainty of Future Sea Level Change and Extreme Water Levels for Department of Defense Coastal Sites Worldwide. U.S. Department of Defense, Strategic Environmental Research and Development Program.
Harrington, J., T. Walton. (2008). Climate Change in Coastal Areas in Florida: Sea Level Rise Estimation and Economic Analysis to Year 2080.
Jagger, M., Kintziger, K., Stockdale, E., & Watkins, S. (2014). Health Effects of Precipitation Abundance and Deficits in Florida. Tallahassee, FL: Florida Department of Health, Division of Disease Control and Health Protection, Bureau of Epidemiology, Building Resilience Against Climate Effects Program.
Jones, J. W., Berry, L., & Chassignet, E. (2012). SUS Climate Change Task Force: Science Addressing the Needs of Florida Agencies, Industry, and Citizenry – Final Project Report (Vol. January 31).
Keywords: State University System of Florida
Jones, J. W., Boote, K. J., Bartels, W. - L., Baigorria, G., Hoogenboom, G., & Hayhoe, K. (2012). Iconic Agricultural Crops: Climate Change Impacts on Peanut, Cotton and Corn in Georgia and Florida: Final Project Report.
Mitchum, G. T. (2011). Sea level changes in the southeastern United States: past, present, and future. Florida Climate Institute/Southeast Climate Consortium.
Abstract: This paper is about past, present, and future sea
level changes in the southeastern United States. It
is aimed at non-scientists and scientists who are not
specialists in sea level change. Although this report is
about our specific part of the world, sea level change
in any region is best viewed in the context of global
sea level changes. This should be seen as encouraging,
though, since measuring and predicting global sea
level change is a much easier problem than predicting
the changes at any particular location along a coastline.
Global sea level measures the volume of the
oceans. This volume can change only if we add or
remove water, or if we change the mean density of the
water in the oceans. The most likely way to change the
density is to warm or cool the oceans. For example,
warmer water is less dense and therefore takes up
more space, thus raising the sea level. So determining
global sea level change is a relatively easy problem
since we only have to determine how much water is
added or subtracted from the oceans, or how much the
oceans on average are warmed or cooled.
Regional and local relative sea level changes, on
the other hand, are strongly influenced by land motion.
Many people do not realize that the land we are standing
upon is also slowly moving up and down. If the
land is sinking, then the sea level appears to be rising,
and vice versa. Also, even if the oceans are globally
warming, that does not mean that the associated sea
level increase will be felt everywhere uniformly. If our
region is warming at an anomalously high rate, then
we will see a higher rate of sea level change. Similarly,
if the water added from ice melt does not immediately
spread out over the entire ocean, then we may see
higher or lower rates of sea level change. At present
we do not know if our region is set to be a winner or a
loser in this game.
Fortunately, though, the present sea level changes
in the southeastern US region can be accounted for
largely by the global changes once we take into
account the local and regional land motions. The latter
are small at most stations in our region, but nonetheless
need to be accounted for. In some areas along our
coastlines the land motions are in fact dominant.
I will suggest that the best projection of the future
is about 80 centimeters of global sea level increase by
2100, an increase we need to plan for in our region.
This is somewhat larger than the most recent global
assessment from the Intergovernmental Panel on
Climate Change, but I will argue that it is likely our
present best guess. Unfortunately, the uncertainties in
these analyses lead me to conclude that the probability
of a larger increase is more likely than the chance that
it will be substantially smaller.
It may seem a bit tangential, but I will also suggest
that episodic changes due to changes in storm tracks,
frequencies, and intensities should not be ignored.
Climate change will almost certainly be felt most
strongly as changes in what we call weather. Such
changes are potentially the most important thing that
we need to predict in the coming decades.
Finally, I will say that we can likely reduce the
uncertainty in sea level rise rates over the next 10
years, but only if we maintain the superb observational
system that we have in place now. We are now able to
determine sea level change from the global scale, to
the regional scale, and down to the local scale. If we
simply continue to make the observations that we are
making now for another decade, then we will most
likely be able to intelligently inform the public about
the real risks that might be associated with climate
Morrissey, J., & Oliver-Smith, A. (2013). Perspectives on Non-Economic Loss and Damage: Understanding value at risk from climate change. Bonn: UNU-EHS Publication Series.
Abstract: Loss and damage pertains to those impacts of climate change which cannot be adapted to, and therefore result in net losses. Currently there is no international protocol describing with whom responsibility on this matter lies, or how to address it.
There is currently good data documenting how losses and damages, as a result of extreme events, have increased However it needs to be appreciated that much of that which will be potentially lost or damaged as a result of climate change cannot be accurately captured in economic terms. The fact that non-economic losses and damages are difficult to assess, quantify and aggregate means that they may well be excluded from policy discussions. Such exclusion will result in an underestimation of the potential costs of climate change, thereby compromising our decision-making ability on how to respond to climate change, with potentially significant implications for both social justice and human well-being.
Noss, R. F., Reece, J. S., Hoctor, T., & Oetting, J. (2014). Adaptation to Sea-Level Rise in Florida: Biological Conservation Priorities.
Oliver-Smith, A. (2009). Nature, Society and Population Displacement: Toward an Understanding of Environmental Migration and Social Vulnerability. Bonn: United Nations University - Institute of Environment and Human Security.
Oliver-Smith, A. (2009). Sea Level Rise and the Vulnerability of Coastal Peoples: Responding to the Local Challenges of Global Climate Change in the 21st Century. Bonn: UNU-EHS.
Oliver-Smith, A., Cutter, S. L., Warner, K., Corendea, C., & Yuzva, K. (2012). Addressing loss and damage in the context of social vulnerability and resilience. Bonn: UNU-EHS Publication Series.
Tampa Bay Climate Science Advisory Panel. (2015). Recommended Projection of Sea-Level Rise in the Tampa Bay Region.
Wooten, A., Smith, K., Boyles, R., Terando, A. J., Stefanova, L., Misra, V., et al. (2014). Downscaled climate projections for the Southeast United States: evaluation and use for ecological applications. Reston, VA: U.S. Geological Survey.
Abstract: Climate change is likely to have many effects on natural ecosystems in the Southeast U.S. The National Climate Assessment Southeast Technical Report (SETR) indicates that natural ecosystems in the Southeast are likely to be affected by warming temperatures, ocean acidification, sea-level rise, and changes in rainfall and evapotranspiration. To better assess these how climate changes could affect multiple sectors, including ecosystems, climatologists have created several downscaled climate projections (or downscaled datasets) that contain information from the global climate models (GCMs) translated to regional or local scales. The process of creating these downscaled datasets, known as downscaling, can be carried out using a broad range of statistical or numerical modeling techniques. The rapid proliferation of techniques that can be used for downscaling and the number of downscaled datasets produced in recent years present many challenges for scientists and decisionmakers in assessing the impact or vulnerability of a given species or ecosystem to climate change. Given the number of available downscaled datasets, how do these model outputs compare to each other? Which variables are available, and are certain downscaled datasets more appropriate for assessing vulnerability of a particular species? Given the desire to use these datasets for impact and vulnerability assessments and the lack of comparison between these datasets, the goal of this report is to synthesize the information available in these downscaled datasets and provide guidance to scientists and natural resource managers with specific interests in ecological modeling and conservation planning related to climate change in the Southeast U.S. This report enables the Southeast Climate Science Center (SECSC) to address an important strategic goal of providing scientific information and guidance that will enable resource managers and other participants in Landscape Conservation Cooperatives to make science-based climate change adaptation decisions.