A global analysis of erosion of sandy beaches and sea-level rise: An application of DIVA

Hinkel, Jochen; Nicholls, Robert J.; Tol, Richard S.J.; Wang, Zheng Bing; Hamilton, Jacqueline M.; Boot, Gerben; Vafeidis, Athanasios T.; McFadden, Loraine; Ganopolski, Andrey; Klein, Richard J.T.

doi:10.1016/j.gloplacha.2013.09.002

Cited by 215 publications

(165 citation statements)

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“…5 Several regional and global studies of coastal impacts have been published with DIVA (see Hinkel et al, 2012Hinkel et al, , 2013aHinkel et al, ,b, 2014; these studies account for additional damage factors related to local SLR, storm surge flooding, and wetlands, but stop short of assessing optimal adaptation. The most 4 Fankhauser's reduced-form cost-benefit rule has been formalized in the FUND model (Tol, 1996), which has been used for numerous analyses of the economic impacts of SLR (see Darwin and Tol, 2001;Nicholls and Tol, 2006;Bosello et al, 2007;Nicholls et al, 2008;Tol, 2007;Anthoff et al, 2010).…”

Section: Literature On Global Coastal Impact Estimatesmentioning

confidence: 99%

Estimating global damages from sea level rise with the Coastal Impact and Adaptation Model (CIAM)

Diaz

2016

Climatic Change

105

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The costs of coastal sector impacts from sea level rise (SLR) are an important component of the total projected economic damages of climate change, a major input to decision-making and design of climate policy. Moreover, the ultimate costs to coastal resources will depend strongly on adaptation, society's response to cope with the impacts. This paper presents a new model to assess coastal impacts from SLR, combining global scope with high spatial resolution to fill a gap between very detailed local studies and aggregate global estimates. The Coastal Impact and Adaptation Model (CIAM) determines the optimal strategy for adaptation at the local level, evaluating over 12,000 coastal segments, as described in the DIVA database (Vafeidis et al, 2006), based on their socioeconomic characteristics and the potential impacts of relative sea level rise and uncertain storm surge. An application of CIAM is then presented to demonstrate the model's ability to assess local impacts and direct costs, choose the least-cost adaptation, and estimate global net damages for several probabilistic SLR scenarios (Kopp et al, 2014). CIAM finds that there is large potential for coastal adaptation to reduce the expected impacts of SLR compared to the alternative of no adaptation, lowering global net present costs by a factor of 10 to less than $1.5 trillion over the next two centuries, although this does not include initial transition costs to overcome an under-adapted current state. In addition to producing aggregate estimates, CIAM results can also be interpreted at the local level, where we find that retreat (e.g., relocate inland) is often a more cost-effective adaptation strategy than protect (e.g., construct physical defenses).

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Section: Literature On Global Coastal Impact Estimatesmentioning

confidence: 99%

Estimating global damages from sea level rise with the Coastal Impact and Adaptation Model (CIAM)

Diaz

2016

Climatic Change

105

View full text Add to dashboard Cite

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“…A large fraction of this expansion will be on fertile plains of high agricultural value, with further erosion of coastal plains due to sea level rise 56 . (Fig.…”

Section: Nature Communications | Doimentioning

confidence: 99%

Global potential of biospheric carbon management for climate mitigation

2014

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Elevated concentrations of atmospheric greenhouse gases (GHGs), particularly carbon dioxide (CO 2 ), have affected the global climate. Land-based biological carbon mitigation strategies are considered an important and viable pathway towards climate stabilization. However, to satisfy the growing demands for food, wood products, energy, climate mitigation and biodiversity conservation-all of which compete for increasingly limited quantities of biomass and land-the deployment of mitigation strategies must be driven by sustainable and integrated land management. If executed accordingly, through avoided emissions and carbon sequestration, biological carbon and bioenergy mitigation could save up to 38 billion tonnes of carbon and 3-8% of estimated energy consumption, respectively, by 2050.P otential pathways to climate stabilization require the deployment of a broad portfolio of solutions to increase energy efficiency, replace fossil fuel use and remove GHGs. The technological solutions available to address these challenges can be broadly divided into two camps: (1) non-biological solutions that do not involve the biosphere, such as wind and solar farms for the generation of electricity and (2) biological solutions that do involve biospheric components of the natural and managed carbon cycle, such as bioenergy or reforestation. Biological solutions are distinctive in at least two ways. First, large terrestrial and ocean carbon sinks (reservoirs that accumulate and store carbon) already exist and remove more than half of the annual anthropogenic CO 2 emissions from the atmosphere 1,2 . Thus, understanding and management of the dynamics of these sinks is of paramount importance. Second, most biological mitigation activities require additional harvesting of the Earth's plant production (that is, net primary production) beyond its current 38% use 3 . However, these requirements face the limitation that a third of the terrestrial plant production is belowground, which is not economically harvestable, and another third takes place on difficult or remote terrain. Thus, there is a clear natural limit to the global fraction further available for human exploitation. Only 10% of the land surface, equivalent to 5 PgC per year (petagrams of carbon per year ¼ 10 15 g ¼ a billion metric tonne) 3 , remains. There is a need to exploit a larger fraction of biomass production for the purpose of climate change mitigation that would place this goal in direct competition with the agendas of food security, energy security and often biodiversity conservation 4 , all of which also require increasing quantities of biomass and land to meet their goals (Fig. 1). In addition, an emerging bio-economy intending to replace many of the petroleum-based products by plant-based products 5,6 will put further demands on biomass production.New technologies will contribute to improving the sustainable production and conversion of biomass for a range of food, fibre, energy, health and industrial products. However, with new demands, there will also be unprece...

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“…Titus and Richman 2001;Li et al 2009), with few cases specifically dealing with induced erosion (e.g. Hinkel et al 2013). Due to this and taking into account the importance of sedimentary coasts for the socio-economic development of the Mediterranean countries in general and, Spain in particular, this work focusses on the evaluation of the SLR-induced erosion effects.…”

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confidence: 99%

Impacts of sea-level rise-induced erosion on the Catalan coast

et al. 2016

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The Catalan coast as most of the developed Mediterranean coastal zone is characterized by the coincidence of stresses and pressures on the natural system with a high exposure and low adaptive capacity. Due to this, Climate Change-induced effects will increase natural hazards and aggravate their associated impacts and, in consequence, it is necessary to assess their effects for proper long-term management. In this work, we assess the impact of sea-level rise (SLR) induced shoreline retreat on the Catalan coast for three scenarios ranging from 0.53 m to 1.75 m by the year 2100. Implications are analyzed in terms of affectation of two main functions provided by beaches, i.e. recreation and protection. Obtained results show that CC will be a serious threat to analyzed functions since the expected enhanced shoreline retreat will severely decrease the recreational carrying capacity and, the capacity of protection in the near future under tested scenarios. The actual level of development along the coastal zone reduces the natural resilient capacity of beaches to SLR in such a way that, the lack of accommodation space can be identified as a main factor for the estimated impacts.

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A global analysis of erosion of sandy beaches and sea-level rise: An application of DIVA

Cited by 215 publications

References 31 publications

Estimating global damages from sea level rise with the Coastal Impact and Adaptation Model (CIAM)

Estimating global damages from sea level rise with the Coastal Impact and Adaptation Model (CIAM)

Global potential of biospheric carbon management for climate mitigation

Impacts of sea-level rise-induced erosion on the Catalan coast

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