Entity

Time filter

Source Type


Anh T.T.,RMIT University | Anh T.T.,Hue University | Phong T.V.G.,Institute for Social and Environmental Transition ISET | Mulenga M.,International Institute for Environment and Development IIED
International Journal of Disaster Risk Reduction | Year: 2014

Community consultation has been mentioned in literature as one of key requirements for developing climate resilient housing but issues related to its real function and linkage to the effectiveness of resilient housing in a given context or community are still problematic. This article reports on a comparative case study between two climate-change prone cities in Vietnam: Hue and Da Nang, to examine consultation-related issues in the Vietnam context through the lens of post-disaster housing reconstruction. The comparison was carried out against the ISET (2012) urban climate resilience framework. The research outcomes demonstrated an absence of community consultation for the self-built housing, the importance of social relationship in building resilient housing, a big gap between at-risk grassroots communities and technically professional services, and a lack of urban governance for a safe and resilient construction. © 2014 Elsevier Ltd. Source


Friend R.,Institute for Social and Environmental Transition ISET | Jarvie J.,Mercy Corps | Reed S.O.,u Co | Sutarto R.,Mercy Corps Indonesia | And 2 more authors.
Urban Climate | Year: 2014

Emerging literature on urban climate adaptation emphasizes the need to "mainstream" climate change resilience into city planning, while simultaneously acknowledging a frequent disconnect between planning and implementation, especially in countries where governance lacks transparency and/or technical capacity. Moreover, how to influence planning towards prioritizing climate vulnerabilities is by no means self-evident. Particularly in developing countries, policy and planning processes are often complex, murky, and can be poorly understood even by the planners themselves. This paper discusses gaps in the process of mainstreaming climate resilience in Vietnam, Thailand, and Indonesia. Experience indicates that there is a common fundamental governance deficit among the three countries in that there is frequently no effective planning process into which climate change resilience could be mainstreamed. Even where governance mechanisms do function, they are often at odds with the kinds of adaptive, learning oriented processes that are at the heart of climate resilience theory. Reconfiguring urban governance is the core challenge, and within this, greater accountability and transparency. This requires informed public dialogue, where critical information about land, current and projected risks and vulnerabilities is in the public domain, and where regulatory framework, public access to redress and remedy is strengthened. © 2013 Elsevier Ltd. Source


Opitz-Stapleton S.,Institute for Social and Environmental Transition ISET | Gangopadhyay S.,Bureau of Reclamation
Theoretical and Applied Climatology | Year: 2011

Climate change scenarios generated by general circulation models have too coarse a spatial resolution to be useful in planning disaster risk reduction and climate change adaptation strategies at regional to river basin scales. This study presents a new non-parametric statistical K-nearest neighbor algorithm for downscaling climate change scenarios for the Rohini River Basin in Nepal. The study is an introduction to the methodology and discusses its strengths and limitations within the context of hindcasting basin precipitation for the period of 1976-2006. The actual downscaled climate change projections are not presented here. In general, we find that this method is quite robust and well suited to the data-poor situations common in developing countries. The method is able to replicate historical rainfall values in most months, except for January, September, and October. As with any downscaling technique, whether numerical or statistical, data limitations significantly constrain model ability. The method was able to confirm that the dataset available for the Rohini Basin does not capture long-term climatology. Yet, we do find that the hindcasts generated with this methodology do have enough skill to warrant pursuit of downscaling climate change scenarios for this particularly poor and vulnerable region of the world. © 2010 Springer-Verlag. Source


Opitz-Stapleton S.,Staplets Consulting LLC | MacClune K.,Institute for Social and Environmental Transition ISET
Community, Environment and Disaster Risk Management | Year: 2012

Hydrological and climatological modeling is increasingly being used with the intent of supporting community-based climate change adaptation (CCA) and disaster risk reduction (DRR) initiatives in the Hindu Kush-Himalaya (HKH), as well as filling critical data gaps in a region that contributes significantly to the water resources and ecosystem diversity of Asia. As the case studies presented in the previous chapters illustrate, the utility of modeling in informing and supporting CCA and DRR initiatives depends on a number of criteria, including: • appropriate model selection; • ability to interpret models to local contexts; and • community engagement that incorporates and addresses underlying vulnerabilities within the community. There are significant challenges to meeting all three of these criteria. However, when these criteria are met, we find: • There is a clear role for modeling to support CCA. The climate is changing now and will continue to do so for several centuries, even if carbon emissions were to stabilize tomorrow. Models, and other scenario development tools, provide our best insight into what the future climate might be and resulting impacts on dynamic social, environmental, political, and economic systems. • There is a clear role for local CCA. The impacts of climate change will be felt mostly at local levels, necessitating community adaptation responses. At the same time, most of the HKH communities and countries engaged in CCA initiatives have pressing, immediate development and livelihood needs. Making current development and livelihood initiatives incorporate climate adaptation considerations is the best way to ensure that the choices made today can set us on paths of increasing resilience, rather than almost inevitable disaster, for the future. • To achieve the best of both modeling and CCA requires thoughtful and patient application of modeling, tailored to local needs, conditions, and politics, with communities engaged around all stages of generating, interpreting, and applying the results. This requires a rare combination of technical skill, cultural sensitivity, political awareness, and above all, the time to continually engage with and build relationships within the community in order to foster resilient change. Copyright © 2012 by Emerald Group Publishing Limited. Source


Friend R.,Institute for Social and Environmental Transition ISET | Moench M.,Institute for Social and Environmental Transition ISET
Urban Climate | Year: 2013

This paper considers how development policy concerns for poverty reduction and social justice can be accommodated in emerging theories and practice on urban resilience and adaptation in response to climate change. There is growing interest in applying resilience to address the challenges of urban climate change. The application of resilience theory has considerable potential for furthering our understanding of the particulars of urban climate vulnerability with its emphasis on complex systems that are increasingly important to urban life. But there are also significant risks. Resilience theory does not adequately address critical issues of power, voice and equity. Moreover, much of the uptake of resilience is as a buzzword rather than a conceptual framework. As such, the discourse of resilience has connotations that can run counter to interests of poverty reduction. Drawing on experience in Asia, the authors argue for a critical application of resilience, with special attention to concerns of resilience for and by whom. © 2013 Elsevier Ltd. Source

Discover hidden collaborations