From Disaster Response to Prevention: Rachel Kyte | TEDxSendai

Nature-based solutions (NBS) offer effective and cost-efficient strategies for urban climate adaptation by integrating natural processes into city infrastructure; the Singapore River Park project demonstrates how transforming urban waterways from barriers into living ecosystems can increase flood capacity by up to 40% while enhancing biodiversity, while Copenhagen's blue-green infrastructure masterplan shows that surface-level water management approaches can be 200 million dollars cheaper than conventional methods while creating multifunctional public spaces that serve both ecological and social purposes.

Nature-based solutions (NbS) are actions protecting, managing sustainably, and restoring ecosystems to address societal challenges while ensuring human well-being and biodiversity benefits. The IUCN defines NbS as requiring co-benefits: non-negotiable biodiversity enhancement plus response to societal challenges including climate change, water supply, food security, and natural disaster risk reduction. The Marseille river restoration case study demonstrates NbS implementation: post-WWII drainage straightened and deepened the river, accelerating flows and draining wetlands. The 5km restoration cost €800,000, including €250,000 for specialized bridge works on peat soils. Key NbS elements include meandering channel design (2200m from 1700m) to slow flow and increase infiltration, flood protection through overflow into meadows, groundwater recharge, biodiversity protection via fish rescue and bank scraping, and a 10-year monitoring plan with €100,000 investment. Research on groundwater management identifies eight NbS types across three ecosystems: agroforestry, urban, and aquatic. Research on stakeholder perceptions revealed: lack of precise definition creates uncertainty; need for common reference framework for communication; NbS enable expressing agency philosophy by connecting ecosystem services to societal benefits. Survey of 57 projects found local professional networks are key success factors.

Nature-based solutions (NBS) are ecosystem-based approaches that leverage natural processes to reduce disaster risks and enhance urban resilience, including water-sensitive urban design, sustainable urban drainage systems, green infrastructure, and wetland restoration; these solutions work synergistically with community-based disaster risk reduction strategies to create more adaptive and sustainable urban environments.

Nature-based solutions (Solutions Fondées sur la Nature) are approaches that work with natural ecosystems to reduce the impacts of weather disasters like floods, landslides, and storms. These solutions include trees with deep roots that stabilize soil and prevent landslides, mangrove forests that reduce wave energy and protect coastlines, wetlands that absorb excess rainfall, coral reefs and marine vegetation that act as barriers against tsunamis, and peatlands that sequester carbon. Examples include the Oise Valley in France, where restoring natural meadows prevents flooding while improving water quality, and Portland, Maine, which saved $155 million over 20 years by using forest filtration instead of expensive wastewater treatment systems.

Nature-Based Solutions (NBS) are sustainable approaches using natural ecosystems to address social and environmental challenges including climate change, water security, food security, and disaster risk. NBS encompasses multiple approaches: Ecological Restoration (ER) restores ecosystem functions; Ecological Engineering (EE) recalibrates ecosystem services for human needs; Forest Landscape Restoration (FLR) involves reforestation; Ecosystem-Based Management (EBM) integrates ecological perspectives; Ecosystem-Based Adaptation (EBA) and Mitigation (EBM) leverage ecosystems for climate resilience; Ecosystem-Based Disaster Risk Reduction (DRR) prevents non-climate disasters; Area-Based Conservation (ABC) designates protected zones; Green Infrastructure (GI) reduces human environmental impacts; Natural Infrastructure (NI) uses natural ecosystems for water security and disaster mitigation. In water resource management, spatial planning and reforestation in river headwaters represents a key NBS approach.

Municipal development plans should include disaster risk management as a specific chapter defining programs and projects for knowledge, risk reduction, and disaster response preparation. Additionally, each sector chapter (agriculture, housing, infrastructure, etc.) should incorporate disaster risk management content. For example, the agriculture sector should include activities improving agricultural production conditions against disasters; the housing sector should ensure construction in safe zones with earthquake-resistant standards; the infrastructure sector should consider risk analysis in project feasibility studies and operations. This integration ensures development and disaster risk management are coordinated rather than treated as separate processes.

Additional barriers include: (1) Basic tools of land use planning such as zoning and density limitations require integration with other policy powers like taxation, rent control, and transfer of development rights; (2) Mechanisms to encourage DRR implementation are insufficient, though examples exist like the DMA200 USA system with its structured funding eligibility, application criteria, evaluation methods, and auditing procedures; (3) Central authorities often intrude on local planning, impose their plans, and over-audit local activities, creating real troubles for municipalities when DRR expenditure is not officially recognized; (4) Informal settlements present unique challenges with approximately 70% being unauthorized developments in various forms, requiring differentiated policy responses based on their specific vulnerabilities.

This section explores institutional mechanisms for embedding disaster risk reduction into national development. The Indian Universities and Institutions Network, launched in 2021, connects over 250 universities through three streams: bridging academic research with administrative training, mainstreaming DRR into graduate curricula, and creating bidirectional interfaces between academia and practitioners. South Africa's disaster management framework (legislation 2002, framework 2005) demonstrates policy integration through mandatory financial commitments (1.2% sector department allocation), risk-based planning, sector-specific guidelines, and integration into developmental planning. Both cases illustrate how academic-practitioner collaboration and comprehensive policy frameworks enable systematic embedding of DRR principles across government, education, and development sectors.

Societies cannot focus on disaster risk until basic needs are met. Therefore, addressing the structural causes of disasters requires integrating disaster risk reduction into broader development policies. This integration is reflected in national development plans, sectoral programs, and protection civil programs at federal, state, and municipal levels.

Mainstreaming Disaster Risk Reduction (DRR) into developmental planning is essential because disasters severely disrupt development progress and disproportionately affect vulnerable populations; this approach integrates DRR concerns into all developmental policies, strategies, and project cycles through hazard vulnerability analysis, sector-specific integration (shelter, livelihood, food security, health, water/sanitation, education, and environment), capacity building, and stakeholder collaboration to build resilience and prevent disasters from undermining development efforts.

A social vulnerability index is a tool that brings together unlikely sources of data to identify areas and populations that may be disproportionately affected by economic development projects or lack of investment. The development process involves multi-variable analyses of different data sources and considers how they come together to create comprehensive pictures of community needs. This approach extends beyond traditional geographic equity considerations to include economic equity and inclusion. The tool helps regional planners and investors understand who might be negatively impacted by proposed projects and ensures that investment decisions consider the full range of community vulnerabilities.

The Global Social Vulnerability and Resilience Modeling framework addresses the need for complementary maps of social consequences to global hazard models. Social vulnerability is defined as characteristics within social systems that create potential for loss, capturing differential capacities to reduce earthquake risk and pre-existing conditions that aggravate or attenuate impacts. The framework uses composite indicators—measures derived from observed facts that model reality—developed at country levels for global comparison. These indicators help define areas of greatest need, stimulate discussion, and facilitate social responsibility. The development process involves an eight-step methodology including literature review of over 300 articles on earthquake recovery and vulnerability, taxonomy development including social vulnerability, economic vulnerability, and recovery/reconstruction potential, data collection requiring indicators to be justified in literature, freely available, and amenable to downscaling, and validation using earthquake event databases. Statistical analysis including correlation and multi-dimensional scaling reduces indicators from approximately 78 to 53 parsimonious indicators. Validation employs machine learning techniques including ordinal logistic regression and random forest to associate social indicators with earthquake consequences. The Social Vulnerability Index shows high vulnerability in Sub-Saharan Africa, India, Afghanistan, and Pakistan, while Northern Europe, the United States, and Canada show low levels. The Economic Vulnerability Index reveals different patterns, with the United States showing higher vulnerability due to greater asset exposure, while Sub-Saharan Africa, India, Afghanistan, and Nepal show high vulnerability partly due to inability to deal with economic shocks.

Social vulnerability research identifies hot spots by overlaying demographic factors (race, income, household composition) with hazard exposure maps at Census block group resolution. Economic impact is modeled through Computable General Equilibrium (CGE) models connecting households, firms, and government through labor, capital, and tax flows. Interdependency modeling uses three approaches: Dynamic Inoperability Input-Output Models (DIIM) for node-to-node propagation, directed graph networks with connectivity matrices, and Resiliency-Based Interdependency Approach (RBIA) combining fragility-recovery relationships with lag times. The research distinguishes opportunistic dislocation (high-asset households relocating) from suppression (low-income households forced to remain), and examines how interdependency changes effects across pre-event, during-event, and post-event recovery phases.

Socio-economic vulnerability is measured through indicator-based methods analyzing exposure levels and coping mechanisms of individuals, households, and communities. The assessment framework includes: Human Capital (nutrition, education, knowledge, skills, capacity to work and adapt); Physical Capital (energy, communications tools, production equipment, seed, fertilizer, pesticides, traditional technology); Financial Capital (creditor debt, formal/informal sources, NGOs, remittances, pensions, wages, dividends, investment returns); and Social Capital (relationships of trust, mutual support, formal and informal groups, common rules and sanctions). This comprehensive framework enables systematic ranking of vulnerability elements based on exposure levels to specific hazards.

Vulnerability assessment identifies people most likely to be affected negatively by development projects, including those who may become landless, jobless, or homeless. Sources include poverty, lack of resources, social political exclusion, and limited rights. Vulnerability manifests through heightened exposure to risk combined with diminished resilience or capacity for adaptation. Forms include disability (birth defects, deafness, malnutrition), ascriptive factors (race, ethnicity, gender, religion), and social discrimination. Economic sources include lack of wealth and access to resources, while environmental sources include resource degradation and natural disasters. Equity refers to fairness in distributing rights and opportunities. Resilience enables people to endure adverse changes, while adaptation allows changes in living patterns. Cost-benefit analysis provides objective ranking among investment possibilities by identifying all costs and benefits, establishing valuation metrics, and calculating Net Present Value. Challenges include overlooking distributional implications and time valuation issues. Integrating SIA with cost-benefit analysis improves decision-making through stakeholder engagement, thorough distribution analysis, and arrangements to mitigate harm to vulnerable groups.