United Nations Office for Disaster Risk Reduction (UNISDR)—UNISDR’s Contribution to Science and Technology for Disaster Risk Reduction and the Role of the International Consortium on Landslides (ICL)

The United Nations Sendai Framework 2015-30 for disaster risk reduction (DRR) reaffirms the role of Indigenous Knowledges (IK) as complementing and contributing to more effective DRR. This hard won space for IK comes as Indigenous communities voluntarily contribute to the local management of disasters, including wildfire and threats to biodiversity in forest ecosystems. The effectiveness of Indigenous practices in addressing hazards is based on traditional knowledges and empirical observations that inform active roles in environmental management. However, it is still not clear how IK complements and contributes to DRR. This article analyses interviews with elders, researchers, and community members and identifies how mātauranga Māori (Māori knowledge) on forests and biodiversity is embodied to inform Indigenous watchfulness as a tactical approach in contributing to more effective DRR strategies.

Download Full-text

Strengthening Disaster Risk Governance to Manage Disaster Risk: Output of the Global Forum on Science and Technology for Disaster Resilience 2017

Journal of Disaster Research ◽

10.20965/jdr.2018.p1177 ◽

2018 ◽

Vol 13 (7) ◽

pp. 1177-1180 ◽

Cited By ~ 1

Author(s):

Kenichi Tsukahara ◽

Keyword(s):

Risk Reduction ◽

Disaster Risk Reduction ◽

Science And Technology ◽

Disaster Risk ◽

Risk Governance ◽

Disaster Resilience ◽

Global Forum ◽

Sendai Framework ◽

Hyogo Framework For Action

The importance of disaster risk governance was stated in the Hyogo Framework for Action (HFA) in 2005. However, effective measures towards strengthening disaster risk governance from the science and technology community have not been sufficiently implemented since then. In the Sendai Framework for Disaster Risk Reduction (SFDRR) in 2015, “strengthening disaster risk governance to manage disaster risk” was established as one of the four action items, and many roles for the science and technology community were stated in the SFDRR. This report introduces the discussions and outcomes regarding the role of the science and technology community in strengthening disaster risk governance at the Global Forum on Science and Technology for Disaster Resilience 2017.

Download Full-text

A review of public acceptance of nature-based solutions: The ‘why’, ‘when’, and ‘how’ of success for disaster risk reduction measures

AMBIO ◽

10.1007/s13280-021-01502-4 ◽

2021 ◽

Cited By ~ 1

Author(s):

Carl C. Anderson ◽

Fabrice G. Renaud

Keyword(s):

Ecosystem Services ◽

Risk Perception ◽

Risk Reduction ◽

Disaster Risk Reduction ◽

Disaster Risk ◽

Public Acceptance ◽

Societal Challenges ◽

Increasing Trend ◽

Risk Reduction Measures

AbstractNature-based solutions (NbS) are increasingly recognized as sustainable approaches to address societal challenges. Disaster risk reduction (DRR) has benefited by moving away from purely ‘grey’ infrastructure measures towards NbS. However, this shift also furthers an increasing trend of reliance on public acceptance to plan, implement and manage DRR measures. In this review, we examine how unique NbS characteristics relate to public acceptance through a comparison with grey measures, and we identify influential acceptance factors related to individuals, society, and DRR measures. Based on the review, we introduce the PA-NbS model that highlights the role of risk perception, trust, competing societal interests, and ecosystem services. Efforts to increase acceptance should focus on providing and promoting awareness of benefits combined with effective communication and collaboration. Further research is required to understand interconnections among identified factors and how they can be leveraged for the success and further uptake of NbS.

Download Full-text

Reflections on a Science and Technology Agenda for 21st Century Disaster Risk Reduction

International Journal of Disaster Risk Science ◽

10.1007/s13753-016-0081-x ◽

2016 ◽

Vol 7 (1) ◽

pp. 1-29 ◽

Cited By ~ 81

Author(s):

Amina Aitsi-Selmi ◽

Virginia Murray ◽

Chadia Wannous ◽

Chloe Dickinson ◽

David Johnston ◽

...

Keyword(s):

Risk Reduction ◽

21St Century ◽

Disaster Risk Reduction ◽

Science And Technology ◽

Disaster Risk

Download Full-text

Development and validation of a geospatial model for monitoring indicators of the Sendai framework using the example of flooding in Ecuador

10.5194/egusphere-egu21-14720 ◽

2021 ◽

Author(s):

Manuel Urrutia ◽

Guido Riembauer ◽

Angel A. Valdiviezo-Ajila ◽

Stalin Jímenez ◽

Antonio R. Andrade ◽

...

Keyword(s):

United Nations ◽

Risk Reduction ◽

Disaster Risk Reduction ◽

Disaster Risk ◽

Geospatial Data ◽

Sendai Framework ◽

Loss And Damage ◽

Flood Loss ◽

Information Products ◽

Development And Validation

The Sendai Framework for Disaster Risk Reduction (SFDRR) provides a concrete agenda for evidence-based policy for disaster risk reduction as a key component of the post-2015 global development agenda. However, the progress of implementing the seven Global Targets of the SFDRR at the national level via the monitor of a set of thirty-eight indicators is obstructed due to a lack of available, accessible, and validated data on disaster-related loss and damage, especially in developing countries. This weakens the accuracy, timeliness, and quality of the Sendai monitoring process. In the case of floods, which account for the highest number of people affected by hazards,[WY1]&#160; there is a strong need for innovative and &#160;appropriate tools for monitoring and reporting flood impacts.The country of Ecuador and their validated national flood loss and damage database, which stretches back to 1970, is a stark counterpoint to the norm and serves as the case study for this research. In this research we develop a geospatial model approach, which combines earth observation-based information products with additional geospatial data to result quantitative measures for selected indicators of the SFDRR and validate them based on an existing database on flood loss and damage in Ecuador. Specifically, we build on automated &#160;derivation of flood event characteristics from a full year of Sentinel-1 synthetic aperture radar data to assess flood hazard in Ecuador, and complement this with geospatial data on flood-related exposure and vulnerability to model selected indicators of the SFDRR in a spatially explicit way. The validation process of this geospatial model is conducted in reference to in situ loss and damage data related to flooding for the years 2017, 2018, and 2019. The derivation of information products is conducted in close collaboration with the National Service for Risk and Emergency Management of the Government of Ecuador, the country office of the United Nations Development Program, and the United Nations Office for Disaster Risk Reduction. It is thereby assured that the development and validation of this methodology is in line with the national and international approach of implementing the SFDRR.&#160;

Download Full-text