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The geographical range of agricultural crops is shifting because of climate change. Reducing the potential negative impact of this shift requires efficient crop switching at farm level. Yet there are scant studies that examine how crop switching is currently taking place and what factors facilitate the process. Even these few existing studies often based their analysis on inadequately established causal link between climate change and switching decisions. This study aims to identify the specific switching decisions that are primarily motivated by climate change, and their determinants.

The study used a household survey on 190 households in Semien Shewa Zone in Ethiopia. Subjective rating of farmers was used to identify the relative importance of climate change in motivating the different types of switching decisions. A logit model is used to identify determinants of crop switching decisions primarily motivated by climate change.

Farmers in the study area are currently abandoning certain crops as a response to climate change. The adoption of new crops is, however, mainly attributed to price changes. Most farmers who abandoned at least one crop adopted mung bean mainly due to its price advantages. As expected, crop switching as an adaptation strategy is more prevalent particularly in drier and hotter agroecologies. The logit model showed that crop switching is strongly correlated with land size and agroecology.

This paper provides an in-depth examination of crop switching as an adaptation strategy to climate change. Crop switching is an adaptation strategy that is expected to substantially reduce the damage from climate change in agriculture. The findings are particularly relevant for adaptation planning in the context of smallholder agriculture.

In this chapter, the question posed is how the CDRI, applied at various cities spread across a country like India, can draw implications that are applicable for other cities in this country. The aim is to understand the risks, vulnerabilities, and capacities (resilience) of 12 Indian cities to respond to potential climate-related disasters. Surjan, Sharma, and Shaw (in press) highlight that particularly the Asian region is experiencing rapid urban growth, which is not only leading many cities to become megacities, with a population above 10 million, over the next decades (UN, 2010), but also making many smaller and middle-sized cities experience the phenomenon of urbanization (UNISDR, 2009). As it is perceived that more densely populated areas are at greater risk from potential disasters than the less populated ones, like rural areas/villages, cities require particular attention when it comes to reducing risks (UNISDR, 2009). Unplanned urbanization and poor urban governance are regarded as the two main underlying factors accelerating risk to disasters (UNISDR, 2009). The tool to assess the current condition and resilience of these 12 Indian cities is a contextualized CDRI addressing the Indian characteristics. In an era where climate change–related natural hazards (floods, storms, droughts, etc.) are expected to occur more frequently and with higher intensity (IPCC, 2007), Indian cities are becoming more vulnerable to such events (Revi, 2008).

In this chapter the objective is to link the causes (risks) with the need of disaster resilient entities (urban areas) in an era in which the climate is changing and natural hazards are likely to occur more frequently and more severely (Intergovernmental Panel on Climate Change (IPCC), 2007). The previous chapters defined what a resilient city is and how it can be understood, but another question may arise subsequently: how to measure a disaster resilient city? This is what this chapter is about: to develop a tool that is capable of adequately addressing the vulnerable parts of a city's functional system, and additionally, its responsive capacity to cope with a potential disaster. This tool – named Climate Disaster Resilience Index, which is only the process of measurement, or Climate Disaster Resilience Initiative (CDRI), which encompasses all aspects of this approach – shall demonstrate how different functionalities of a city can be assessed in a comprehensive single attempt. Accordingly, the CDRI is more than just a tool to measure the condition of a city at a certain point of time; it also has the wider ambition to lead communities and local governments onto a path of sustainable development that ought to increase the overall resilience level of their city to climate-related disasters. As a result, the CDRI tool shall serve as an urban planning tool depicting the sectors within an urban context that are more or less resilient.

In this chapter, the linkages between environment- and disaster-related issues are reviewed in the context of urban planning in developing countries. The focus is on urban areas, with the aim to understand processes in urban systems that are distinct from those in rural villages/towns. Over the past few decades, more people have started living in cities in comparison to rural areas. This shift has led to an increase in the global urban population, which became larger than the rural population in 2007 (United Nations Habitat [UNHABITAT], 2008). The majority of this urban growth has taken place in cities located in developing countries, predominantly in the Asian and African region (UNHABITAT, 2008). Furthermore, it is estimated that up to 95 percent of the total global population increase will be in cities (UNDESA, 2010). Mainly cities in low- and mid-income countries are experiencing trends of urbanization (UNHABITAT, 2008). Projections suggest that 8 out of total 29 new megacities by 2025 will be in developing countries (UNDESA, 2010); therefore, the vast amount of growth will take place in many small and medium cities (UNDESA, 2010; United Nations International Strategy for Disaster Reduction [UNISDR], 2009).

Building a resilient city requires detail and careful assessment of its current level of vulnerabilities and resilience. During such assessment and initiatives it should remember that there are large differences in risk and vulnerability within urban areas (Satterthwaite, Dodman, & Bicknell, 2009). It is natural to consider that the vulnerabilities and eventually the resilience level would not be same for all parts of a city, especially one that is relatively larger. A city, especially a large one, covers a substantial and often physiographically heterogeneous area with different exposures and susceptibility to hazards. Furthermore, a city's population and the conditions under which it lives are diverse. Therefore, some parts and peoples of a city may be more vulnerable than others (Klein, Nicholls, & Thomalla, 2004). In fact, cities form different microclimates within them because of the variations of land use, settlement patterns, functions, densities, and characteristics of the residential areas and their communities. All of these diversities contribute to disaster risk; in turn, these affect human development and the resilience of different parts of the city International Strategy for Disaster Reduction (ISDR).

The importance of community-based organizations to support relief works in the aftermath of disasters is widely recognized as indispensable in providing quickly the needed help for affected populations (Bajek, Matsuda, & Okada, 2008; Nagasaka, 2008; Norris, Stevens, Pfefferbaum, Wyche, & Pfefferbaum, 2008; Shaw & Goda, 2004; Suzuki, 2006). Although communities’ involvement in rescue operations is essential, their role in rehabilitation and future disaster preparedness activities is equally important in the process of forming a disaster-resilient society (Nagasaka, 2008). Furthermore, the level of interaction between local authorities and communities within different phases (preparedness, relief, and rehabilitation) of the disaster management cycle requires attention to effectively implement community-based disaster risk reduction (CBDRR).

In the scientific field of climate change adaptation (CCA), the focus on cities has grown steadily in recent years. Increasing population figures especially in developing countries, and overall in cities, demonstrate a key challenge for institutions, communities, economies, and the natural environment to find appropriate solutions to overcome this problem (Intergovernmental Panel on Climate Change [IPCC], 2007). Rapid urbanization is just one of the key issues that cities have to deal with; another main challenge is how to manage the impacts from climate change like increasing numbers of natural hazards that are resulting in more frequent and intense disasters (EM-Dat, 2009; Munich Re Group, 2009).