NRN-LCEE launch, 26th March 2015, Cardiff – Martin Skov, Bangor Univ. RESILCOAST Integrating resilience into coastal planning Ecosystem services Flood protection http://www.cam.ac.uk Accreting bank Eroding bank Regime shift and resilience Resilience – what is it? Economic resilience • Ability to resist or to recover from economic down-turn – Maintain jobs; quickly recover to previous employment Medical resilience • Ability to recover from or adjust easily to misfortune or change Mindfulness and resilience Resilience of ecosystems Capacity of system to maintain function, structure and feedbacks in the face of change or disturbance 1. Resistance 2. Recovery 3. Adaptation A ‘regime’ (or ‘ecosystem state’) • A characteristic structure and function of a system Ecological regime shifts Large, sometimes abrupt, long-lived changes in the structure and function of a system • Dramatic, costly, worrying • Difficult to predict A major research gap Tipping point Conditions RESILCOAST focus - Coastal resilience The Global coast • 50% of world’s population • 75% of cities (UNEP) Porthcawl Christmas swim Welsh coast • 60% of population • >92,000 jobs • Recreational importance to 75% of people • £700 mill pa in tourism revenue References: UNEP, Wales Tourism Alliance, WWF (2012) Global change – acutely felt on the coast • Emerging impacts of climate change, sea-level rise, flood risk – 357,000 Welsh properties at risk of flooding – 23% of Welsh coastline already eroding • Global migration to coast → increased pressure on resources RESILCOAST will deliver research to facilitate coastal resilience Shoreline management planning (SMP) Framework for managing coastal flood and erosion risk • SMPs consider adaptations to flooding risks and sea-level rise – Investing in habitat creation where predictions indicate loss will occur – Role of natural ecosystems in coastal protection • Has 4 options for a stretch of coast – – – – No active intervention Hold the (existing defence) line Managed realignment – allow shoreline to move Advance the line – New defences are built on to seaward side Implications of coastal regime shifts and resilience Costly if get spatial predictions wrong Salt marshes Salt marshes – key to coastal ecosystem services Cost savings on coastal protection Flood protection http://www.cam.ac.uk Engineered protection Environment Agency brochure Salt marshes undergo regime shifts • Small-scale die-back scales up to cause disappearance of whole marshes - causes are often unknown A problem to management → unpredictable eco-services, including natural coastal protection Small-scale (patch) Large-scale (marsh or estuary) Evidence of resilience Pioneering, accreting marsh Eroding marsh cliff Re-colonisation in front of eroded cliff Stepped marsh – evidence of past erosion and recovery Resilience at estuarine scale? Is area loss of one marsh compensated by expansion in another marsh → no net change at estuarine scale? Porthmadog GIS map Portmeirion 3 1 2 4 5 6 Six marshes Glaslyn Estuary The 6 project tasks Task 1 Patterns and contextual drivers of state shifts Task 4-5 End-users and eco-service values Task 3 Modelling and mapping Experiments Photo & data archives LARGE SCALE Task 2 Biological resilience and feedback mechanisms SMALL SCALE Predictions Task 6 Policy implications Study region • Tasks 1-3: all UK – Possibly the Netherlands Glaslyn/ Dwyryd • Task 4-6: Three estuaries of the Sarnau SAC in Cardigan Bay – Glaslyn / Dwyryd – Mawddach – Dyfi This region because: • Known flooding risk • Marshes are changing Mawddach Dyfi Task 1 – patterns and drivers of regime shifts Objectives 1. Describe patterns of change in marsh area/distribution – For UK estuaries with contrasting tendencies to erode – Using aerial photography and Lidar images 1947 of upper part of Glaslyn GIS map of marsh extent, Glaslyn Task 1 – patterns and drivers of regime shifts 2. Establish main large-scale drivers of change – Identify environmental contexts most at risk 3. Develop tools for predicting regime shifts (critical slowing down) Predictions from temporal changes to sizes and distributions of marsh patches at seaward end of marsh Predictions of marsh area change by shifts in estuarine main channel Bio-physical feedback mechanisms • Plant colonisation moderates the path and force of water → gives further opportunity for marsh expansion → moderating forces further → → expansion up until a threshold condition Small-scale processes relevant to large scale patterns Task 2 – resilience mechanisms and thresholds Develop understanding how plants mediate resilience Field observations, cultured species mixes Hydrological flume Marsh cores eroded in flume Variance in erosion explained (%) • Are tipping points in erosion controlled by species mix, biodiversity, growing conditions (N, salinity, grazing pressure) and/or extreme events (draught, storms)? Effects and tipping points Task 3 – predictive modelling: thresholds, patterns • Model change in marsh landscape in response to environmental conditions, perturbation and plant composition 1. 4-D modelling (space, time) the effects of sea-level rise, grazing, sediment character/supply, plant diversity and growth 2. GIS-based model predictions for Sarnau region – Using existing SLAMM model (Sea-level Affecting Marshes Model) Modelling will consider • Sea-level rise (20, 50, 100 yrs) • Task 1-2 results/parameters • Model 1 outputs Example SLAMM output Task 4-5 – Values and distributions of eco-services Task 4 – Map stakeholders and interests across region » Establish focal group for consultation in subsequent tasks Task 5 – Value eco-services by resilience scenarios 1. Hind-casting value, based on historical changes in marshes – Values from: literature, focal group consultations and tools from the CBESS project (Skov, NRW) 2. Predict changes in ES values with scenarios (SMP2, 50 yr epoch) Estimates of value per area Historical change in marsh cover Maps of ecosystem service values Task 6 – implications to SMP • Evaluate implications of change in service values given SMP planning and policy – Structured workshops → evaluate implications to policy • E.g., predicted habitat loss could require Coastal Habitat Management Plans (CHAMPS)* • Are SMP policies and actions suitable for Sarnau SAC? – Identify which planning regimes (local, regional, national) will be influenced by change in ES * Advices strategic flood planning how to avoid damage to protected area The RESILCOAST team PhD Fellow Impact through • Cutting-edge research outputs • Research uptake by environmental decision makers and management • Continuation beyond NRN-LCEE: • Additional funding & partnerships • Training/boosting careers of emerging and established academics • Impact on the general public PhD Fellow
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