Developing and managing transdisciplinary and transformative research on the coastal dynamics of sea level rise: Experiences and lessons learned

DeLorme, Denise E.; Kidwell, David; Hagen, Scott C.; Stephens, Sonia H.

doi:10.1002/2015ef000346

Cited by 47 publications

(44 citation statements)

References 47 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…While the multimodel framework highlighted in this special issue represents significant advancement in how predictions of SLR impacts are modeled, the ultimate intent of EESLR‐NGOM is to address explicit needs of coastal managers. To ensure that products and tools developed through this project are relevant and usable by stakeholders, DeLorme et al [] describes a transdisciplinary approach to facilitate collaboration between project scientists and a stakeholder advisory committee. Pre‐project engagement, annual workshops, and periodic webinars are key tools that were used to facilitate objective feedback and analysis of EESLR‐NGOM science activities.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

An Earth's Future Special Collection: Impacts of the coastal dynamics of sea level rise on low‐gradient coastal landscapes

et al. 2017

Self Cite

View full text Add to dashboard Cite

Rising sea level represents a significant threat to coastal communities and ecosystems, including altered habitats and increased vulnerability to coastal storms and recurrent inundation. This threat is exemplified in the northern Gulf of Mexico, where low topography, marshes, and a prevalence of tropical storms have resulted in extensive coastal impacts. The ability to facilitate adaptation and mitigation measures relies, in part, on the development of robust predictive capabilities that incorporate complex biological processes with physical dynamics. Initiated in 2010, the 6-year Ecological Effects of Sea Level Rise-Northern Gulf of Mexico project applied a transdisciplinary science approach to develop a suite of integrated modeling platforms informed by empirical data that are capable of evaluating a range of climate change scenarios. This special issue highlights resultant integrated models focused on tidal hydrodynamics, shoreline morphology, oyster ecology, coastal wetland vulnerability, and storm surges that demonstrate the need for dynamic models to incorporate feedbacks among physical and biological processes in assessments of sea level rise effects on coastal systems. Effects are projected to be significant, spatially variable and nonlinear relative to sea level rise rates. Scenarios of higher sea level rise rates are projected to exceed thresholds of wetland sustainability, and many regions will experience enhanced storm surges. Influenced by an extensive collaborative stakeholder engagement process, these assessments on the coastal dynamics of sea level rise provide a strong foundation for resilience measures in the northern Gulf of Mexico and a transferable approach for application to other coastal regions throughout the world.

show abstract

Section: Conclusion and Discussionmentioning

confidence: 99%

An Earth's Future Special Collection: Impacts of the coastal dynamics of sea level rise on low‐gradient coastal landscapes

et al. 2017

Self Cite

View full text Add to dashboard Cite

show abstract

“…Hydrological modeling is inherently an iterative process involving building, testing and revising specific implementations. Hence, another key issue is that collaborative flood modeling can achieve what is critical for making any type of science useful: iterative interaction between researchers (modelers) and end‐users (DeLorme et al, ; Dilling & Lemos, ). Finally, we note that fine‐resolution urban flood modeling is rapidly advancing and now supports realistic, street‐level flood visualizations (Bhola et al, ; Fewtrell et al, ; Kobayashi et al, ; Sanders, ; Sanders & Schubert, ; Xia et al, ).…”

Section: Introductionmentioning

confidence: 99%

Collaborative Modeling With Fine‐Resolution Data Enhances Flood Awareness, Minimizes Differences in Flood Perception, and Produces Actionable Flood Maps

et al. 2020

View full text Add to dashboard Cite

Existing needs to manage flood risk in the United States are underserved by available flood hazard information. This contributes to an alarming escalation of flood impacts amounting to hundreds of billions of dollars per year and countless disrupted lives and affected communities. Making information about flood hazards useful for the range of decisions that dictate the consequences of flooding poses many challenges. Here, we describe collaborative flood modeling, whereby researchers and end‐users at two coastal sites co‐develop fine‐resolution flood hazard models and maps responsive to decision‐making needs. We find, first of all, that resident perception and awareness of flooding are enhanced more by fine‐resolution depth contour maps than Federal Emergency Management Agency (FEMA) flood hazard classification maps and that viewing fine‐resolution depth contour maps helps to minimize differences in flood perception across subgroups within the community, generating a shared understanding. We also find that collaborative flood modeling supports the engagement of a wide range of end‐users in contemplating the risks of flooding and provides strong evidence that the co‐produced knowledge can be readily adopted and applied for Flood Risk Management (FRM). Overall, collaborative flood modeling advances FRM by providing multiple points of entry for diverse groups of end‐users to contemplate the spatial extent, intensity, timing, chance, and consequences of flooding, thus enabling the web of decision‐making related to flooding to be better informed with the best available science. This transdisciplinary approach emphasizes vulnerability reduction and is complementary to FEMA Flood Insurance Rate Maps used for flood insurance administration.

show abstract

“…Cash et al, 2003;Welp et al, 2006;Allen et al, 2013;von Storch et al, 2015). Knowledge on transdisciplinary approaches is considered to benefit from project experiences (Jahn et al, 2012;Bergmann et al, 2016) and "more guidance grounded in actual project experiences is needed" (DeLorme et al, 2016). Thus, the purpose of this study is to convey first-hand experiences on stakeholder interaction and transdisciplinary orientations from the Coastal Observing System for Northern and Arctic Seas (COSYNA).…”

Section: Introductionmentioning

confidence: 99%

“…There are numerous definitions for transdisciplinarity in literature, but a generally accepted definition is still not available. Generally agreed upon main features are addressing a real-world problem, integrating different disciplines, and involvement of non-academic stakeholders (Bergmann et al, 2016;DeLorme et al, 2016;Jahn et al, 2012;. Transdisciplinarity combines interdisciplinarity (collaboration between researchers from different disciplines aimed at a synthesis and integration of knowledge; Bernstein, 2015) and interactions with extra-academic interest groups, for example from industry, governments, and non-governmental organizations.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Bridging the gap between observational oceanography and users

Eschenbach

2017

Ocean Sci.

View full text Add to dashboard Cite

Abstract. In order to ensure relevance and societal impact of research and to meet the various requirements of different target groups, the Coastal Observing System for Northern and Arctic Seas (COSYNA) developed and pursued a broad range of activities for knowledge transfer and stakeholder interaction. Potential user groups of data and data products include (but are not limited to) science, administration, renewable energies, engineering, tourism, and nature conservation. COSYNA data and data products are publicly accessible and available free of charge via the Internet (data portal; www.cosyna.de).The stakeholder interaction is integrated into the COSYNA product life cycle outlined here and the steps undertaken are exemplified for the product "Surface Current Fields in the German Bight". Initial surveys revealed COSYNA's potential relevance in the national and international context. After the technological and mathematical realization of high-quality parameter fields, external experts evaluated the scientific value, informational value, innovative leap, cost/benefit aspects, operability, etc., of the data products. In order to improve products and their usability and to pave the way for future co-operation, interviews and workshops with potential users from the offshore wind energy industry were conducted. The stakeholder interaction process was successful, revealing relevant insights into user demands and usability of (possible) products. Analysis of data download provided some evidence for impact beyond academia. Other criteria for the increasingly demanded evaluation of the impact of coastal research are discussed. By sharing first-hand experiences, this study contributes to the emerging knowledge on integration of science and end users.

show abstract

Developing and managing transdisciplinary and transformative research on the coastal dynamics of sea level rise: Experiences and lessons learned

Cited by 47 publications

References 47 publications

An Earth's Future Special Collection: Impacts of the coastal dynamics of sea level rise on low‐gradient coastal landscapes

An Earth's Future Special Collection: Impacts of the coastal dynamics of sea level rise on low‐gradient coastal landscapes

Collaborative Modeling With Fine‐Resolution Data Enhances Flood Awareness, Minimizes Differences in Flood Perception, and Produces Actionable Flood Maps

Bridging the gap between observational oceanography and users

Contact Info

Product

Resources

About