Building capacity on ecosystem-based adaptation strategy to cope with extreme events and sea-level rise on the Uruguayan coast

Carro, I., et al., 2018. International Journal of Climate Change Strategies and Management

Original research (primary data)
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Abstract

Purpose: This study aims to show a case study of ecosystem-based adaptation (EbA) measures to increase coastal system’s resilience to extreme weather events and sea-level rise (SLR) implemented at Kiyأ؛ (Uruguayan coast of the Rio de la Plata river estuary). Design/methodology/approach: A participatory process involving the community and institutional stakeholders was carried out to select and prioritise adaptation measures to reduce the erosion of sandy beaches, dunes and bluffs due to extreme wind storm surge and rainfall, SLR and mismanagement practices. The recovery of coastal ecosystems was implemented through soft measures (green infrastructure) such as revegetation with native species, dune regeneration, sustainable drainage systems and the reduction of use pressures. Findings: Main achievements of this case study include capacity building of municipal staff and stakeholders, knowledge exchanges with national-level decision makers and scientists and the incorporation of EbA approaches by subnational-level coastal governments. To consolidate EbA, the local government introduced innovations in the coastal management institutional structure. Originality/value: The outcomes of the article include, besides the increase in the resilience of social-ecological systems, the strengthening of socio-institutional behaviour, structure and sustainability. This experience provides insights for developing a strategy for both Integrated Coastal Management and climate adaptation at the national scale.

Case studies

Basic information

  • Case ID: INT-020-1
  • Intervention type: Restoration
  • Intervention description:

    ecosystem-based adaptation (EbA) measures to increase coastal system’s resilience to extreme weather events and sea-level rise (SLR) implemented at Kiyú (Uruguayan coast of the Rio de la Plata river estuary). The recovery of coastal ecosystems was implemented through soft measures (green infrastructure) such as revegetation with native species, dune regeneration, sustainable drainage systems and the reduction of use pressures. The dune reconstruction and the replacement of the forested park by the resilient deciduous native forest species close the recovery cycle. The former allows accumulating sand due to the presence of vegetation which captures sand and recycles its structure after each windstorm event. The latter reduces the impacts of extreme weather events on coastal bluffs while allowing sunlight to reach the dune grasses to develop and consolidate the dunes.

  • Landscape/sea scape ecosystem management: Yes
  • Climate change impacts Effect of Nbs on CCI Effect measures
    Storm surge  Positive vulnerability reduction assessment (VRA) and measure the relative change in the adaptive capacity of a community before (baseline), during and after the implementation of a CBA project activities. (lower vulnerability perception (1.8) of local stakeholders due to the perceived reduction of barriers combined with the high increase adaptive capacity (3.3) attributed to the observed recovery of sandy dunes and participatory monitoring activities.
    Coastal erosion  Positive vulnerability reduction assessment (VRA) and measure the relative change in the adaptive capacity of a community before (baseline), during and after the implementation of a CBA project activities. (lower vulnerability perception (1.8) of local stakeholders due to the perceived reduction of barriers combined with the high increase adaptive capacity (3.3) attributed to the observed recovery of sandy dunes and participatory monitoring activities.
    Coastal inundation  Positive vulnerability reduction assessment (VRA) and measure the relative change in the adaptive capacity of a community before (baseline), during and after the implementation of a CBA project activities. (lower vulnerability perception (1.8) of local stakeholders due to the perceived reduction of barriers combined with the high increase adaptive capacity (3.3) attributed to the observed recovery of sandy dunes and participatory monitoring activities.
  • Approach implemented in the field: Yes
  • Specific location:

    Kiyé (348420S: 568430W)

  • Country: Uruguay
  • Habitat/Biome type: Coastal |
  • Issue specific term: Ecosystem-based adaptation
    Green/blue infrastructure

Evidence

  • Notes on intervention effectivness: The after-implementation VRA showed an increase in the perception of threats due to the occurrence of erosive extreme rainstorms in early 2014, despite what vulnerability perception lowered (1.8) due to the perceived reduction of barriers and the high increase in adaptive capacity (3.3) attributed to the observed recovery of sandy dunes and participatory monitoring activities.
  • Is the assessment original?: Yes
  • Broadtype of intervention considered: Not applicable
  • Compare effectivness?: No
  • Compared to the non-NBS approach: Not applicable
  • Report greenhouse gas mitigation?: No
  • Impacts on GHG: Not applicable
  • Assess outcomes of the intervention on natural ecosystems: No
  • Impacts for the ecosystem: Not reported
  • Ecosystem measures:
  • Assess outcomes of the intervention on people: Yes
  • Impacts for people: Positive
  • People measures: increased adaptive capacity and vulnerability (quantified) - vulnerability reduction assessment (VRA) and measure the relative change in the adaptive capacity of a community before (baseline), during and after the implementation of a CBA project activities.
  • Considers economic costs: No
  • Economic appraisal conducted: No
  • Economic appraisal described:
  • Economic costs of alternative considered: No
  • Compared to an alternative: Not reported

Evaluation methodology

  • Type of data: Mixed qualitative/quantitative
  • Is it experimental: No
  • Experimental evalution done: Not applicable
  • Non-experimental evalution done: Empirical case study
  • Study is systematic: