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The purpose of this paper is to explore whether “resilience” offers any positive inputs to international discourse in the field of disaster risk reduction and climate change adaptation and if so, what recommendations can be made for further research on the topic.

In addition to an in-depth literature review, observations on resilience were made based on interdisciplinary research conducted in Nepal 2008-2011 with landslide affected communities, to map local understandings of resilience in contrast to issues of risk and vulnerability.

Resilience has the potential to offer a more systemic and cross-cutting approach to disaster risk reduction, climate change adaptation and the humanitarian sector. However, it needs to be assessed critically as one attribute of sustainable development, not as a lesser substitute.

This paper provides new insights to the emerging contrast between proponents and critics of the resilience paradigm with recommendations for avoiding potential dangers that this paradigm brings.

Climate change data and predictions for the Himalayas are very sparse and uncertain, characterized by a “Himalayan data gap” and difficulties in predicting changes due to topographic complexity. A few reliable studies and climate change models for Nepal predict considerable changes: shorter monsoon seasons, more intensive rainfall patterns, higher temperatures, and drought. These predictions are confirmed by farmers who claim that temperatures have been increasing for the past decade and wonder why the rains have “gone mad.” The number of hazard events, notably droughts, floods, and landslides are increasing and now account for approximately 100 deaths in Nepal annually. Other effects are drinking water shortages and shifting agricultural patterns, with many communities struggling to meet basic food security before climatic conditions started changing.

The aim of this paper is to examine existing gaps between current climate models and the realities of local development planning through a case study on flood risk and drinking water management for the Municipality of Dharan in Eastern Nepal. This example highlights current challenges facing local-level governments, namely, flood and landslide mitigation, providing basic amenities – especially an urgent lack of drinking water during the dry season – poor local planning capacities, and limited resources. In this context, the challenge for Nepal will be to simultaneously address increasing risks caused by hazard events alongside the omnipresent food security and drinking water issues in both urban and rural areas. Local planning is needed that integrates rural development and disaster risk reduction (DRR) with knowledge about climate change considerations. The paper concludes with a critical analysis of climate change modeling and the gap between scientific data and low-tech and low capacities of local planners to access or implement adequate adaptation measures. Recommendations include the need to bridge gaps between scientific models, the local political reality and local information needs.

The purpose of this paper is to describe empirical research intended to fill the perceived gap in practical guidance methodologies for assessing resilience.

To do so, an interdisciplinary team of researchers studied landslide risk in four different communities of Central and Eastern Nepal using a case study approach. Two case studies on flood-affected communities were developed for comparison sake in more urban areas. Methods combined qualitative participatory approaches to develop indicators of resilience as well as a household survey and focus group discussions for collecting data on the indicators.

What the research results demonstrate is a relatively straightforward and simple means for obtaining data on the state of a community's resilience as a relatively simple “snapshot” of resilience at one period in time, assuming that resilience is an outcome that can be improved over time with the “right” set of interventions.

The main limitation of this research is that it focussed mainly on outcome indicators; although some process indicators of resilience were identified (i.e. grazing management practices, skills training, organizational skills and learning through education), these need to be more comprehensive and validated through community consultations.

The paper provided data and a straightforward methodology for measuring resilience and has thus contributed to the literature on this topic, while providing practical ideas for future research on resilience building measures and indicators.

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.

The purpose of this paper is to identify how governance and accountability have been addressed in the Sendai Framework for Disaster Risk Reduction (SFDRR) 2015-2030.

The research is mainly based on the analysis of the SFDRR; scientific literature, particularly recent publications covering the SFDRR. The paper also takes into account grey literature.

The SFDRR does address issues of governance and accountability in disasters. However, more needs to be done to translate it into practice – particularly with regard to accountability.

The paper covers a topic that has not attracted considerable academic attention, despite the fact that the need to address accountability in disaster risk management, notably in DRR, has been generally acknowledged. By addressing governance and accountability in the most recent international DRR framework the paper adds value to the literature.

The purpose of this paper is to present the findings of a qualitative and exploratory study aimed at learning more about the local forms of resilience that emerged in two localities (one rural and one urban locality) in Talcahuano, Chile, in response to the major earthquake and devastating tsunami that hit them on February 27, 2010.

To ensure that people’s experiences remained leading throughout the study, data were collected in the field by the first author over a period of 13 months using a variety of qualitative methods. The primary methods were observation, participation and semi-structured interviews with a variety of actors, ranging from community members to local leaders and emergency professionals. For the analysis, a scheme was used that categorizes manifested resilience using two dimensions: damage and responsiveness. Since this scheme has been mostly used to evaluate tree populations, it was adapted to fit the appraisal of a social system.

The findings suggest that damage levels in the two communities were similar, but that the responsiveness was not. One locality revealed high levels of resilience, while the other exposed increased susceptibility to future similar events.

This research initiative was relevant because it exposed actual resilience. Also, the specificities of the findings enable insights about prevalent vulnerability, in particular the local capacity of response, and that can be used to elaborate concrete earthquake/tsunami disaster scenarios and design local disaster risk reduction interventions.