2014
DOI: 10.1016/j.ocecoaman.2014.03.019
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Key lessons for incorporating natural infrastructure into regional climate adaptation planning

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Cited by 36 publications
(16 citation statements)
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References 26 publications
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“…The transparency of modeled inputs and outputs, and the ability to quickly test different climate and development scenarios make the InVEST Coastal Vulnerability model an effective tool to engage with stakeholders and communicate with scientists and non-scientists alike (Arkema et al, 2013;Langridge et al, 2014;Hopper et al, 2016;Cabral et al, 2017; Office of the Prime Minister of The Bahamas [OPM], 2017). However, there are also several important limitations with the approach.…”
Section: Discussionmentioning
confidence: 99%
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“…The transparency of modeled inputs and outputs, and the ability to quickly test different climate and development scenarios make the InVEST Coastal Vulnerability model an effective tool to engage with stakeholders and communicate with scientists and non-scientists alike (Arkema et al, 2013;Langridge et al, 2014;Hopper et al, 2016;Cabral et al, 2017; Office of the Prime Minister of The Bahamas [OPM], 2017). However, there are also several important limitations with the approach.…”
Section: Discussionmentioning
confidence: 99%
“…To estimate risk from coastal hazards to people throughout The Bahamas now and with future SLR, we used the InVEST Coastal Vulnerability model. The Coastal Vulnerability model is a decision support tool that uses an index-based approach to understand the relative risk of communities to coastal hazards and identifies where habitats have the greatest potential for providing coastal protection (Arkema et al, 2013;Langridge et al, 2014;Hopper et al, 2016;Cabral et al, 2017;Sharp et al, 2018). The model builds on previous, similar indices that account for biophysical and climatic components governing exposure to flooding and inundation from coastal hazards (e.g., Gornitz, 1990;Cooper and McLaughlin, 1998;Hammar-Klose and Thieler, 2001), by explicitly considering the role of ecosystems in providing coastal protection and incorporating information about people, property and other relevant metrics in the framing of risk.…”
Section: Modeling Coastal Hazardmentioning
confidence: 99%
“…This approach computed the relative exposure of the shoreline to coastal hazards (Fig. A) on the basis of a number of variables, including elevation, wave exposure, shoreline type, sea‐level rise, storm surge potential, and habitat buffers . Next, we coupled the results from the hazard index with census information on the distribution of total population (shown in Fig.…”
Section: Case Studiesmentioning
confidence: 99%
“…4A) on the basis of a number of variables, including elevation, wave exposure, shoreline type, sea-level rise, storm surge potential, and habitat buffers. 103,168 Next, we coupled the results from the hazard index with census information on the distribution of total population (shown in Fig. 4), elderly (>65 years) and young (<15 years) people, and total income to assess the risk of coastal hazards to people and livelihoods currently and under four future scenarios.…”
Section: Sustainable Development In the Bahamasmentioning
confidence: 99%
“…In the Monterey Bay Region, the Center's approach is to utilize the Iterative Process between technical experts and decision makers to produce boundary objects (i.e., models, scenarios, and assessment reports produced jointly by experts and decision makers) that ensure successful adaptation planning at a local level [4]. The Iterative Process-refined based on lessons learned from similar local-level engagements in California [5]-consists of working alongside decision makers in the study area to co-develop and tailor the Center's analytics through each phase of the Engagement Framework to ensure that the Center's research is applicable to decision-making needs. The Iterative Process is also designed to span each phase of the Engagement Framework in order to address the key attributes of a boundary organization's function: credible, legitimate, and salient information [4].…”
Section: Iterative Process For Engagement At the Local Levelmentioning
confidence: 99%