Suchergebnisse

Under embargo until: 2021-01-22 ; Citizen science is put forward as a method for extending science to include communities in learning about, and adapting to, climate variability and change in the places they live. But it is difficult to find evidence of how citizen science influences climate adaptation governance. The citizen science field lacks the assessment frameworks and empirical studies for understanding impacts on citizen scientists' common adaptive capacities for supporting social processes of adaptation. In addressing this gap, this paper describes a citizen science initiative carried out with communities in northeast Bangladesh, and assesses how it contributed to local governance capacity for climate adaptation. In doing so, it develops and tests a novel framework that assesses citizen science's contributions a high-quality knowledge base, and to five different capital stocks. The assessment saw high increases in citizen scientists' human capital relative to their awareness and understanding of local rainfall; learning that they applied in adaptive practices at work and at home, and local leadership. There were also high increases in social capital among citizen scientists, but more moderate increases in technological and resource capital, and in political capital. There was some evidence of the citizen science being used to support public adaptation decision-making. The initiative had the least impact on institutional capital. ; acceptedVersion

There are numerous challenges to mobilising high quality knowledge in support of climate adaptation. Urgent adaptive action often has to be taken on the basis of imperfect information, with the risk of maladaptive consequences. These issues of knowledge quality can be particularly acute in vulnerable developing countries like Bangladesh, where there can be less capacity for producing and using climate knowledge. This paper argues that climate change adaptation in places like Bangladesh would benefit from a more self-conscious critical review of the knowledge systems mobilised in support of action, and suggests that 'knowledge quality assessment' (KQA) tools can structure this review. It presents a desktop assessment of information used for climate change adaptation projects in Sylhet Division in Bangladesh, steered by the six themes of the 'Guidance for Uncertainty Assessment and Communication' KQA tool. The assessment found important differences in approaches to mobilising knowledge, particularly between governmental and non-governmental organisations (NGOs). It demonstrated that problem framing has an impact on project success; projects that adopt a narrow techno-scientific framing can lead to significant adverse side effects. Recognising this some projects are engaging stakeholders in framing adaptation. It found a lack of national policy Guidance on the use of indicators or appraisal of uncertainty, seeing government agencies fall back on their risk-based calculations, and NGOs attempt to identify indicators and uncertainties via community engagement, with mixed success. Moreover, the adaptation knowledge base is relatively disintegrated, despite tentative steps toward its consolidation and appraisal, potentially related to on-going friction impeding vertical communication within government, and horizontal communication between government, NGOs and stakeholders. This all suggests that the Bangladeshi practices at the adaptation science-policy interface can benefit from reflection on KQA criteria; reflection ...