Transdisciplinary ecosystem-based approaches to flood risk reduction supported by traditional ecological knowledge in Mikatagoko Lakes, Japan

Author(s):  
Takehito Yoshida

<p>Rainfall-induced floods and landslides have occurred and caused devastating impacts in recent years in Japan, and adaptation to natural disaster risks is a key to the sustainability of local communities. Traditional ecological knowledge in Japanese communities exists abundantly, such as those in disaster risk reduction and natural resource use, and it has been passed down from generation to generation. These traditional knowledge and skills have been used to benefit from nature’s gifts or ecosystem services as well as to avoid devastating impacts from natural disasters. Collaboration and cooperation by diverse stakeholders are crucial for recognizing and utilizing traditional ecological knowledge in actual solutions and actions. In this presentation, I introduce how traditional ecological knowledge has been used in disaster risk reduction in Mikatagoko Lakes area located in Fukui Prefecture, Japan. Rainfall-induced floods occur frequently in this area, but traditional land use helps to reduce inundation damage of houses and conserve biodiversity and ecosystem services including local food culture. Embankment built around the lakes has been renovated not only for flood risk reduction but also for biodiversity conservation, also supported by traditional ecological knowledge in this area. The Mikatagoko nature restoration committee, in which diverse local stakeholders participate and collaborate, has played a significant role in these actions and solutions. Our experiences suggest that transdisciplinary ecosystem-based approaches contribute to the sustainability of local communities and the collaborative platform among local stakeholders is important in taking advantage of traditional ecological knowledge in actual solutions and actions.</p>

AMBIO ◽  
2021 ◽  
Author(s):  
Carl C. Anderson ◽  
Fabrice G. Renaud

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.


2021 ◽  
Vol 13 (3) ◽  
pp. 1291
Author(s):  
Beatriz Mayor ◽  
Pedro Zorrilla-Miras ◽  
Philippe Le Coent ◽  
Thomas Biffin ◽  
Kieran Dartée ◽  
...  

Nature-based solutions (NBS) are increasingly being promoted because they can solve different pursued aims together with providing an additional array of multiple ecosystem services or co-benefits. Nevertheless, their implementation is still being curbed by several barriers, for example, a lack of examples, a lack of finance, and a lack of business cases. Therefore, there is an urgent need to facilitate the construction of business models and business cases that identify the elements required to capture value. These are necessary to catalyze investments for the implementation of NBS. This article presents a tool called a Natural Assurance Schemes (NAS) canvas and explains how it can be applied to identify business models for NBS strategies providing climate adaptation services, showing an eye-shot summary of critical information to attract funding. The framework is applied in three case studies covering different contexts, scales, and climate-related risks (floods and droughts). Finally, a reflective analysis is done, comparing the tool with other similar approaches while highlighting the differential characteristics that define the usefulness, replicability, and flexibility of the tool for the target users, namely policymakers, developers, scientists, or entrepreneurs aiming to promote and implement NAS and NBS projects.


2015 ◽  
Vol 112 (24) ◽  
pp. 7362-7368 ◽  
Author(s):  
Belinda Reyers ◽  
Jeanne L. Nel ◽  
Patrick J. O’Farrell ◽  
Nadia Sitas ◽  
Deon C. Nel

Achieving the policy and practice shifts needed to secure ecosystem services is hampered by the inherent complexities of ecosystem services and their management. Methods for the participatory production and exchange of knowledge offer an avenue to navigate this complexity together with the beneficiaries and managers of ecosystem services. We develop and apply a knowledge coproduction approach based on social–ecological systems research and assess its utility in generating shared knowledge and action for ecosystem services. The approach was piloted in South Africa across four case studies aimed at reducing the risk of disasters associated with floods, wildfires, storm waves, and droughts. Different configurations of stakeholders (knowledge brokers, assessment teams, implementers, and bridging agents) were involved in collaboratively designing each study, generating and exchanging knowledge, and planning for implementation. The approach proved useful in the development of shared knowledge on the sizable contribution of ecosystem services to disaster risk reduction. This knowledge was used by stakeholders to design and implement several actions to enhance ecosystem services, including new investments in ecosystem restoration, institutional changes in the private and public sector, and innovative partnerships of science, practice, and policy. By bringing together multiple disciplines, sectors, and stakeholders to jointly produce the knowledge needed to understand and manage a complex system, knowledge coproduction approaches offer an effective avenue for the improved integration of ecosystem services into decision making.


Author(s):  
Tahir Ali ◽  
Petra Topaz Buergelt ◽  
Douglas Paton ◽  
James Arnold Smith ◽  
Elaine Lawurrpa Maypilama ◽  
...  

The Sendai Framework of Action 2015–2030 calls for holistic Indigenous disaster risk reduction (DRR) research. Responding to this call, we synergized a holistic philosophical framework (comprising ecological systems theory, symbolic interactionism, and intersectionality) and social constructionist grounded theory and ethnography within a critical Indigenous research paradigm as a methodology for exploring how diverse individual and contextual factors influence DRR in a remote Indigenous community called Galiwinku, in the Northern Territory of Australia. Working together, Indigenous and non-Indigenous researchers collected stories in local languages using conversations and yarning circles with 20 community members, as well as participant observations. The stories were interpreted and analysed using social constructivist grounded theory analysis techniques. The findings were dialogued with over 50 community members. The findings deeply resonated with the community members, validating the trustworthiness and relevance of the findings. The grounded theory that emerged identified two themes. First, local Indigenous knowledge and practices strengthen Indigenous people and reduce the risks posed by natural hazards. More specifically, deep reciprocal relationships with country and ecological knowledge, strong kinship relations, Elder’s wisdom and authority, women and men sharing power, and faith in a supreme power/God and Indigenous-led community organizations enable DRR. Second, colonizing practices weaken Indigenous people and increase the risks from natural hazards. Therefore, colonization, the imposition of Western culture, the government application of top-down approaches, infiltration in Indigenous governance systems, the use of fly-in/fly-out workers, scarcity of employment, restrictions on technical and higher education opportunities, and overcrowded housing that is culturally and climatically unsuitable undermine the DRR capability. Based on the findings, we propose a Community-Based DRR theory which proposes that facilitating sustainable Indigenous DRR in Australian Indigenous communities requires Indigenous and non-Indigenous partners to genuinely work together in two-directional and complementary ways.


2021 ◽  
Author(s):  
Melisa Mena-Benavides ◽  
Manuel Urrutia ◽  
Konstantin Scheffczyk ◽  
Angel A. Valdiviezo-Ajila ◽  
Jhoyzett Mendoza ◽  
...  

<p>Understanding disaster risk is the first priority for action of the Sendai Framework for Disaster Risk Reduction (SFDRR) and is the essential information needed to guide disaster governance and achieve disaster risk reduction. Flooding is a natural hazard that causes the highest number of affected people due to disasters. In Ecuador from 1970 to 2019 flooding caused the highest amount of loss and damage to housing, and from 2016 to 2019 there were 1263 flood events reported. However, the differentiated impacts in flood exposed areas and what can be done to reduce risk and its impacts are still not well understood. In this research, we explored the different dimensions of flood risk, namely hazard, exposure, and vulnerability, and investigated the drivers of risk in different ecological regions of Ecuador. The assessment was conducted at the parish level, the smallest administrative scale, for three selected provinces of Bolivar, Los Ríos, and Napo, representing not only the country’s three main ecological regions but also commonly affected territories due to flooding. Using an automated flood detection procedure based on Sentinel-1 synthetic aperture radar data, flood hazard information was derived from flood frequency and flood depth for the years 2017, 2018, and 2019. The drivers of exposure and vulnerability were derived from scientific literature and further evaluated and complemented during a participatory workshop with over 50 local experts from the different regions. Centered on this exercise, an indicator library was created to inform the data selection from various sources and provides the basis for deriving a spatially explicit flood risk assessment using an indicator-based approach. Impact data are available to validate the risk assessment at the parish level and with this reveal key drivers of flood risk in different ecological regions of Ecuador. This information will provide the basis to derive targeted measures for disaster risk reduction.</p>


2021 ◽  
Author(s):  
Ida Wallin

<p>Knowledge has been shown to be more effectively implemented in practice when produced in collaboration between researchers and other stakeholders as the co-produced knowledge is more likely to be accepted and found relevant. Knowledge co-production processes have however been found guilty of depoliticizing and hiding political struggles to the end of reinforcing existing unequal power relations and prevent broad societal transformation from taking place. From this perspective, knowledge co-production can come into conflict with participatory governance that focuses on the empowerment and capacity building of actors, social justice and advocacy. In this presentation I take a closer look at this conflictual perspective and propose a research focus on knowledge practices for exploring and analyzing participatory governance options for flood risk management (FRM) and disaster risk reduction (DRR). I do this by exemplifying and presenting a research design developed within the newly started PARADeS-project.</p><p>The PARADeS-project is a research project led by German research institutions in close collaboration with partners in Ghana and with the overall aim to contribute to enhancing Ghana’s national flood risk and disaster management strategy. Co-production of knowledge is foreseen to take place in several workshops including collaborative modelling, scenario- and policy back-casting exercises. One of the planned project outputs is a concept of participatory governance in FRM and DRR based on the findings from a stakeholder analysis, a policy network analysis and a participatory assessment of different policy options.</p><p>In this project context a research focus on stakeholders’ knowledge practices can be used to inform and improve the participatory governance concept and facilitate its implementation process. Knowledge is used by stakeholders as a powerful resource in suggesting certain policy options and convincing others of their necessity. Knowledge practices entail how actors use knowledge to argue, convince and make decisions. Through knowledge practices, stakeholders decide what knowledge to base decisions on and how to convince others of their position using that knowledge. What knowledge becomes accepted as legitimate in such interactions - often deliberative settings - can be decisive for the acceptability of any policy option. It is therefore important to study not only the different types of stakeholders and technical options for FRM and DRR, but the interaction between stakeholders and how they use information and co-create knowledge - the knowledge practices.</p><p>Within the presentation I discuss the proposed research design for how to study knowledge practices and how to make use of these findings when going from research project and co-production of knowledge to a concept of participatory governance in flood risk management and disaster risk reduction in Ghana.</p>


Author(s):  
Brett F. Sanders

Communities facing urban flood risk have access to powerful flood simulation software for use in disaster-risk-reduction (DRR) initiatives. However, recent research has shown that flood risk continues to escalate globally, despite an increase in the primary outcome of flood simulation: increased knowledge. Thus, a key issue with the utilization of urban flood models is not necessarily development of new knowledge about flooding, but rather the achievement of more socially robust and context-sensitive knowledge production capable of converting knowledge into action. There are early indications that this can be accomplished when an urban flood model is used as a tool to bring together local lay and scientific expertise around local priorities and perceptions, and to advance improved, target-oriented methods of flood risk communication. The success of urban flood models as a facilitating agent for knowledge coproduction will depend on whether they are trusted by both the scientific and local expert, and to this end, whether the model constitutes an accurate approximation of flood dynamics is a key issue. This is not a sufficient condition for knowledge coproduction, but it is a necessary one. For example, trust can easily be eroded at the local level by disagreements among scientists about what constitutes an accurate approximation. Motivated by the need for confidence in urban flood models, and the wide variety of models available to users, this article reviews progress in urban flood model development over three eras: (1) the era of theory, when the foundation of urban flood models was established using fluid mechanics principles and considerable attention focused on development of computational methods for solving the one- and two-dimensional equations governing flood flows; (2) the era of data, which took form in the 2000s, and has motivated a reexamination of urban flood model design in response to the transformation from a data-poor to a data-rich modeling environment; and (3) the era of disaster risk reduction, whereby modeling tools are put in the hands of communities facing flood risk and are used to codevelop flood risk knowledge and transform knowledge to action. The article aims to inform decision makers and policy makers regarding the match between model selection and decision points, to orient the engineering community to the varied decision-making and policy needs that arise in the context of DRR activities, to highlight the opportunities and pitfalls associated with alternative urban flood modeling techniques, and to frame areas for future research.


Author(s):  
Ernest Dube ◽  
Edson Munsaka

This article examined the contribution of indigenous knowledge to disaster risk reduction activities in Zimbabwe. The current discourse underrates the use of indigenous knowledge of communities by practitioners when dealing with disasters’, as the knowledge is often viewed as outdated and primitive. This study, which was conducted in 2016, sought to examine this problem through analysing the potential contribution of indigenous knowledge as a useful disaster risk reduction intervention. Tsholotsho district in Matabeleland, North province of Zimbabwe, which frequently experiences perennial devastating floods, was used as a case study. Interviews and researcher observations were used to gather data from 40 research participants. The findings were that communities understand weather patterns and could predict imminent flooding after studying trees and clouds, and the behaviours of certain animal species. Local communities also use available local resources to put structural measures in place as part of disaster risk reduction interventions. Despite this important potential, the study found that the indigenous knowledge of disaster risk reduction of the communities is often shunned by practitioners. The practitioners claim that indigenous knowledge lacks documentation, it is not found in all generational classes, it is contextualised to particular communities and the knowledge cannot be scientifically validated. The study concluded that both local communities and disaster risk reduction practitioners can benefit from the indigenous knowledge of communities. This research has the potential to benefit communities, policymakers and disaster risk reduction practitioners.


Sign in / Sign up

Export Citation Format

Share Document