Critical knowledge gaps seriously hinder efforts for building disaster resilience at all levels, especially in disaster-prone least developed countries. Information deficiency is most serious at local levels, especially in terms of spatial information on risk, resources, and capacities of communities. To tackle this challenge, we develop a general methodological approach that integrates community-based participatory mapping processes, one that has been widely used by governments and non-government organizations in the fields of natural resources management, disaster risk reduction and rural development, with emerging collaborative digital mapping techniques. We demonstrate the value and potential of this integrated participatory and collaborative mapping approach by conducting a pilot study in the flood-prone lower Karnali river basin in Western Nepal. The process engaged a wide range of stakeholders and non-stakeholder citizens to co-produce locally relevant geographic information on resources, capacities, and flood risks of selected communities. The new digital community maps are richer in content, more accurate, and easier to update and share than those produced by conventional Vulnerability and Capacity Assessments (VCAs), a variant of Participatory Rural Appraisal (PRA), that is widely used by various government and non-government organizations. We discuss how this integrated mapping approach may provide an effective link between coordinating and implementing local disaster risk reduction and resilience building interventions to designing and informing regional development plans, as well as its limitations in terms of technological barrier, map ownership, and empowerment potential.
The citizen science approach has gained momentum in recent years. It can enable both experts and citizen scientists to co-create new knowledge. Better understanding of local environmental, social, and geographical contexts can help in designing appropriate plans for sustainable development. However, a lack of geospatial data, especially in the context of developing countries, often precludes context-specific development planning. This study therefore tests an innovative approach of volunteer citizen science and an open mapping platform to build resilience to natural hazards in the remote mountainous parts of western Nepal. In this study, citizen scientists and mapping experts jointly mapped two districts of Nepal (Bajhang and Bajura) using the OpenStreetMap (OSM) platform. Remote mapping based on satellite imagery, capacity building, and mobilization of citizen scientists was performed to collect the data. These data were then uploaded to OSM and later retrieved in ArcGIS to produce a usable map that could be exploited as a reference resource for evidence-based decision-making. The collected data are freely accessible to community members as well as government and humanitarian actors, and can be used for development planning and risk reduction. By piloting in two communities of western Nepal, we found that using open data platforms for collecting and analyzing location-based data has a mutual benefit for researchers and communities. Such data could be vital in understanding the local landscape, environmental risk, and distribution of resources. Furthermore, they enable both researchers and local people to transfer technical knowledge, collect location-specific data, and use them for better decision-making.
This study presents an analysis of risk and resilience perceptions in two villages of Far West Nepal, Sunkuda and Bajedi, located in the upper Karnali River Basin. The area has been affected by deep-seated and shallow landslides, which have had a devastating impact on many rural lives and livelihoods. While both villages are exposed to landslides, Bajedi is situated in a higher risk zone. Using structured surveys, semi-structured interviews and insights from stakeholder workshops, the risk and resilience perceptions of household residents of the two villages are elicited. The objectives of the study are 1) to understand how residents perceive their risk and resilience to landslides, and 2) to provide evidence and insights on the factors that influence risk perception. Results show that landslides are perceived as an existential risk in both villages, although risks are perceived as more serious in Bajedi. The higher risk perception in Bajedi is shown to be mainly driven by households' ability to cope, including their energy sources, whether they know whom to call in case of a landslides, as well as household savings and income sources. In Sunkuda, risk perception is shown to be influenced by households' access to and status of community forests, expenditure on medication, the seasonality and types of water sources, and ethnicity. In both villages, additional drivers of risk perception include households' social networks, their perceived triggers of landslides, their outstanding loans, and who collects the water. The results demonstrate the interconnectedness of risk perception and indicators of resilience. By elucidating the risk perception of Sunkuda and Bajedi, this study has important implications for local risk management strategies and policies.
<p>Nepal is one of the world&#8217;s most vulnerable countries to the impacts of climate change due to its high-relief topography, heavy monsoon rainfall, and weak governance. Landslides are common across almost all Nepal&#8217;s vast Himalaya mountains, of which the Far Western region suffers most, and climate change, coupled with severe under-development is expected to exacerbate the situation. Deficiency in spatial data and information seriously hinder the design and effective implementation of development plans, especially in the least developed areas, such as Seti River Basin in Far Western Nepal, where landslides constantly devastate landscapes and communities. We adopted a participatory mapping process with emerging collaborative digital mapping techniques to tackle the problem of critical information gaps, especially spatial risk information at local levels which compromise efforts for sustainable landscape planning and uses in disaster prone regions. In short, participatory here refers to working with local stakeholders and collaborative refers to crowdsourced map information with citizens and professionals. Engaging a wide range of stakeholders and non-stakeholder citizens in this integrated mapping processes eventually structure human capital at local scales with skills and knowledge on maps and mapping techniques. Also, this approach increases spatial knowledge and their uses in development planning at the local level and eventually increases landscape resilience through improved information management. We will further discuss how this integrated approach may provide an effective link between planning, designing, and implementing development plans amid fast policy and environmental changes and implications for communities in the developing world, especially in the context of climate change and its cascading effects.</p>
<p>The concept of using open data in development planning and resilience building to frequent environmental hazards has gained substantial momentum in recent years. It is helpful in better understanding local capacities and associated risks to develop appropriate risk reduction strategies. Currently, lack of accurate and sufficient data has contributed to increased environmental risks, preventing local planners the opportunity to consider these risks in advance. To fulfil this gap, this study presents an innovative approach of using openly available platforms to map locally available resources and associated risks in two remote communities of Nepal. The study also highlights the possibility of using the combined knowledge of technical persons and citizen scientists to collect geo-spatial data to support proper decision making. We harnessed the power of citizen scientists to collect geo-spatial data by training them on currently available tools and platforms. Also, we equipped these communities with the necessary instruments to collect location based data. Later, these data collected by citizen scientists were uploaded in the online platforms. The collected data are freely accessible to community members, government and humanitarian actors which could be used for development planning and risk reduction. Moreover, the information co-generated by local communities and scientists could be crucial for local government bodies to plan activities related to disaster risk reduction. Through the piloting in two communities of Nepal, we have found that using open data platforms for collecting and analysing location based data has a mutual benefit to researchers and communities. These data could be vital in understanding the local landscape of development, environmental risk and distribution of resources. Furthermore, it enables both researchers and local people to transfer the technical knowledge, collect location specific data and use them in better decision making.</p>
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