Benefits of adapting to sea level rise : the importance of ecosystem services in the French Mediterranean sandy coastline

This article proposes an innovative approach to assess the benefits of adapting to sea level rise (SLR) in a coastal area on a regional scale. The valuation framework integrates coastal ecosystem services, together with urban and agricultural assets. We simulate the impacts of a progressive 1 m rise in sea level in the twenty-first century and an extreme flooding event in 2100 for four contrasted adaptation scenarios (Denial, “Laissez-faire”, Protection and Retreat). The assessment involves coupling the results of hazard-modelling approaches with different economic valuation methods, including direct damage functions and methods used in environmental economics. The framework is applied to the French Mediterranean sandy coastline. SLR will result in major land-use changes at the 2100 time horizon: relocation or densification of urban areas, loss of agricultural land, increase in lagoon areas and modification of wetlands (losses, migration or extension of ecosystems). Total benefits of public adaptation options planned in advance could reach €31.2 billion for the period 2010–2100, i.e. €69,000 per inhabitant (in the study area) in 2010 or €135 million/km of coastline. Our results highlight the importance of (i) raising awareness to ensure that public services and coastal managers can anticipate the consequences of SLR and (ii) incorporating coastal ecosystems into the assessment of the adaptation options. Our findings could provide a basis for participatory foresight approaches to build coastline adaptation pathways.PostprintPeer reviewe

Evolution of coastal zone vulnerability to marine inundation in a global change context. Application to Languedoc Roussillon (France)

The coastal system is likely to suffer increasing costal risk in a global change context. Its management implies to consider those risks in a holistic approach of the different vulnerability components of the coastal zone, by improving knowledge of hazard and exposure as well as analyzing and quantifying present day and future territory vulnerability. The ANR/VMC2007/MISEEVA project (2008-2011) has applied this approach on Languedoc Roussillon region in France. MISEEVA approach relies on several scenarios for 2030 and 2100, in terms of meteorology (driver of coastal hazard), sea level rise, and also considering further trends in demography and economy, and possible adaption strategies Hazard has been modeled (SWAN, MARS and SURFWB), on the base of the presentday situation, sea level rise hypotheses, and existing or modeled data, of extreme meteorological driving f. It allowed to assess the possible surges ranges and map coastal zone exposure to: - a permanent inundation (considering sea level rise in 2030 and 2100, - a recurrent inundation (considering sea level rise and extreme tidal range) - an exceptional inundation (adding extreme storm surge to sea level rise and tidal range). In 2030, exposure will be comparable to present day exposure. In 2100, extreme condition will affect a larger zone. Present days social and economic components of the coastal zone have been analyzed in terms of vulnerability and potential damaging. Adaptation capacity was approached by public inquiries and interviews of stakeholders and policy makers, based on existing planning documents The knowledge of the present day system is then compared to the possible management strategies that could be chosen in the future, so to imagine what would be the evolution of vulnerability to marine inundation, in regards to these possible strategies

Charged-particle multiplicity fluctuations in Pb–Pb collisions at √sNN = 2.76 TeV

Measurements of event-by-event fluctuations of charged-particle multiplicities in Pb–Pb collisions at sNN−−−√ = 2.76 TeV using the ALICE detector at the CERN Large Hadron Collider (LHC) are presented in the pseudorapidity range |η|<0.8 and transverse momentum 0.2<pT<2.0 GeV/c. The amplitude of the fluctuations is expressed in terms of the variance normalized by the mean of the multiplicity distribution. The η and pT dependences of the fluctuations and their evolution with respect to collision centrality are investigated. The multiplicity fluctuations tend to decrease from peripheral to central collisions. The results are compared to those obtained from HIJING and AMPT Monte Carlo event generators as well as to experimental data at lower collision energies. Additionally, the measured multiplicity fluctuations are discussed in the context of the isothermal compressibility of the high-density strongly-interacting system formed in central Pb–Pb collisions