Pathways to coastal resiliency: The Adaptive Gradients Framework
Repository Usage Stats
Current and future climate-related coastal impacts such as catastrophic and repetitive flooding, hurricane intensity, and sea level rise necessitate a new approach to developing and managing coastal infrastructure. Traditional "hard" or "grey" engineering solutions are proving both expensive and inflexible in the face of a rapidly changing coastal environment. Hybrid solutions that incorporate natural, nature-based, structural, and non-structural features may better achieve a broad set of goals such as ecological enhancement, long-term adaptation, and social benefits, but broad consideration and uptake of these approaches has been slow. One barrier to the widespread implementation of hybrid solutions is the lack of a relatively quick but holistic evaluation framework that places these broader environmental and societal goals on equal footing with the more traditional goal of exposure reduction. To respond to this need, the Adaptive Gradients Framework was developed and pilot-tested as a qualitative, flexible, and collaborative process guide for organizations to understand, evaluate, and potentially select more diverse kinds of infrastructural responses. These responses would ideally include natural, nature-based, and regulatory/cultural approaches, as well as hybrid designs combining multiple approaches. It enables rapid expert review of project designs based on eight metrics called "gradients", which include exposure reduction, cost efficiency, institutional capacity, ecological enhancement, adaptation over time, greenhouse gas reduction, participatory process, and social benefits. The framework was conceptualized and developed in three phases: relevant factors and barriers were collected from practitioners and experts by survey; these factors were ranked by importance and used to develop the initial framework; several case studies were iteratively evaluated using this technique; and the framework was finalized for implementation. The article presents the framework and a pilot test of its application, along with resources that would enable wider application of the framework by practitioners and theorists.
Published Version (Please cite this version)
Hamin, EM, Y Abunnasr, MR Dilthey, PK Judge, MA Kenney, P Kirshen, TC Sheahan, DJ DeGroot, et al. (2018). Pathways to coastal resiliency: The Adaptive Gradients Framework. Sustainability (Switzerland), 10(8). pp. 2629–2629. 10.3390/su10082629 Retrieved from https://hdl.handle.net/10161/23914.
This is constructed from limited available data and may be imprecise. To cite this article, please review & use the official citation provided by the journal.
Brian G. McAdoo is Associate Professor of Earth and Climate Science at Duke University’s Nicholas School of the Environment where he studies the effects of disasters triggered by natural hazards. How are humans impacting the physical systems that keep us alive, and how are marginalized populations specifically affected? Current research projects in Nepal (earthquakes, landslides and road development) as well as Borneo and Brazil (deforestation, ecosystem services and community health) seek to apply a Planetary Health framework to understand how coupled human-environment systems and geohazards interact with the ultimate goal of informing community resilience and reducing environmental suffering.
Elizabeth's current research centers on how policies and decisions are made in response to extreme climatic events. Further, she is interested in collaborative decision making processes, particularly in the realm of water resource management. She has received a grant from the National Science Foundation and a Fulbright Scholarship to support her scholarship. The Midwest Political Science Associated recently awarded Elizabeth the 'Best Paper by an Emerging Scholar' award at their national conference. Her geographic regions of interest include the southeast US and Central and Eastern Europe. Prior to completing her Ph.D. Elizabeth worked for the State of North Carolina in water resource management.
Unless otherwise indicated, scholarly articles published by Duke faculty members are made available here with a CC-BY-NC (Creative Commons Attribution Non-Commercial) license, as enabled by the Duke Open Access Policy. If you wish to use the materials in ways not already permitted under CC-BY-NC, please consult the copyright owner. Other materials are made available here through the author’s grant of a non-exclusive license to make their work openly accessible.