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Successful adaptation often involves changes to the decision context to enable new ways of thinking and acting on climate change. Using 16 adaptation initiatives the authors were engaged with, we analysed how and why decision contexts changed to identify ways to improve adaptation as a process of collective deliberation and social learning. We used the scope of the adaptation issue and governance arrangements to classify initiatives into four types and scored changes in the decision context using three frameworks: (1) the values, rules and knowledge (VRK) perspective to identify changes to adaptation decision‐making; (2) the five dimensions of futures consciousness to identify the building of adaptation capabilities and (3) the social learning cycle to reveal evidence of reflexive learning. Initiatives using novel governance arrangements for discrete problems (‘problem governance’) or complex, systemic issues (‘systems governance’) scored highest for influences of VRK, futures consciousness and the social learning cycle on the decision context. Initiatives using existing management for discrete problems (‘problem management’) scored moderately for change in the decision context, while those using existing management for systemic issues (‘systems management’) scored low because change was often impeded by existing rules. All three frameworks influenced decision contexts in systems governance initiatives. Problem governance initiatives revealed interactions of VRK and futures consciousness but limited influence of VRK on the social learning cycle. Scope and governance arrangements differ with the adaptation issue and initiatives adapt over time: some small‐scale ones became more systemic, developed novel governance arrangements and changed the decision context. Our findings do not show that some adaptation initiatives are better or more transformative than others; just that their scope and appropriate governance arrangements are different. This questions the notion that successful adaptation requires building generic transformative adaptation approaches and capabilities. There is a diversity of arrangements that work. What is important is to align the approach to the adaptation problem. We suggest two directions for improving adaptation initiatives: first, by influencing how they can shift between problem and systems focus and between standard management and novel governance, and secondly, by using methods to diagnose and direct change in the decision context. Read the free Plain Language Summary for this article on the Journal blog. Read the free Plain Language Summary for this article on the Journal blog.

There are increasing concerns about the likely impacts of climate change on poverty, economic growth, and the overall development of poor countries. The need to adapt to the daunting challenges posed by climate change has resulted in a multiplicity of responses from various actors across scales. Evidence suggests that at the national and sub-national levels in Ghana, initiatives to address climate change are nascent. The objective of this paper is to uncover the nature of these initiatives, the actors involved and the successes and challenges for achieving sustainable outcomes through local-level interventions in Ghana. The paper adopted the qualitative cross-sectional case study design involving the use of key informant interviews, observations, focus group discussions and institutional reports. The findings suggest that initiatives for adaptation to climate change were largely autonomous since they were not necessarily outcomes from mainstream planning aimed at addressing climate change. Key actors behind the initiatives were governmental institutions, agencies, non-governmental organisations, and community leaders. The paper recommends that further efforts be made to integrate climate change adaptation initiatives at the local level of planning for proper targeting, coordination, collaboration, and sustainable adaptation.

Considering the feasibility and effectiveness of adaptation options is essential for guiding responses to climate change that reduce risk. Here, we assessed the feasibility of adaptation options for the African context. Using the Global Adaptation Mapping Initiative, a stocktake of adaptation-related responses to climate change from the peer-reviewed literature in 2013–2020, we found 827 records of adaptation actions in Africa. We categorised and evaluated 24 adaptation options and for each option, six dimensions of feasibility were considered: economic, environmental, social, institutional, technological, and evidence of effectiveness. Over half (51%) of all adaptation actions were reported in the food sector where sustainable water management (SWM) was the most reported option. The fewest actions were reported for cities (5%). The majority of actions (53%) were recorded in just six countries: Ghana, Ethiopia, Kenya, Tanzania, Nigeria and South Africa. Encouragingly, effectiveness was assessed as medium or high for 95% of adaptation options. However, no options had high feasibility on any other dimension. Technological and institutional factors present major barriers to implementation. Crop management, SWM, sustainable agricultural practices, agroforestry, livelihood diversification, ecosystem governance and planning, health governance and planning, infrastructure and built environment, all had moderate feasibility across three or more dimensions. Human migration has low feasibility but high potential for risk reduction. Major knowledge gaps exist for environmental feasibility, for assessing adaptation limits at increasing levels of climate hazard, for economic trade-offs and synergies, and for Central and Northern Africa. Our results highlight sectors where enablers for adaptation can be increased. Future assessments can apply the method established here to extend findings to other national and local levels.

PurposeThis paper presents assessment results on the level of perceived knowledge in climate change and the extent to which participatory awareness in adaptation initiatives by management and the public in key selected areas identified to be highly impacted by climate change has fared.Design/methodology/approachExploratory research design, using snowball, purposive and simple random sampling methods, was employed to assess respondents' level of knowledge in climate change and participatory adaptation awareness activities. Focus group discussion was finally used to appraise returned responses that compared indigenous knowledge with scientific data to examine variables influencing key determinants.FindingsAge, gender, the level of education and work experience were all significant in determining outcome of responses by respondents on perceived level of knowledge in climate change and awareness in adaptation engagement efforts by the public. The study also confirmed existence of perceived knowledge and awareness gap with a marginal difference of 28% between management and stakeholder respondents.Practical implicationsAnthropogenic activities leading to climate change impacts are rarely linked to individual actions, lifestyles and community's sociocultural practices and choices.Originality/valueThere is a disconnect between what climate change managers know and are doing in terms of adaptation and mitigation efforts and what stakeholders should know and are expected to do toward achieving functional participatory engagements in Ghana. It calls for needs assessment on a governance system that will chart a new order to transform individual and household attitudes through curriculum development, awareness training, coping strategies to capacity building for members of the communities and households.

The climate is changing, and the Eastern Europe and Central Asia (ECA) region is vulnerable to the consequences. Many of the region's countries are facing warmer temperatures, a changing hydrology, and more extremes, droughts, floods, heat waves, windstorms, and forest fires. This book presents an overview of what adaptation to climate change might mean for Eastern Europe and Central Asia. It starts with a discussion of emerging best-practice adaptation planning around the world and a review of the latest climate projections. It then discusses possible actions to improve resilience organized around impacts on health, natural resources (water, biodiversity, and the coastal environment), the 'unbuilt' environment (agriculture and forestry), and the built environment (infrastructure and housing). The last chapter concludes with a discussion of two areas in great need of strengthening given the changing climate: disaster preparedness and hydro-meteorological services. This book has four key messages: a) contrary to popular perception, Eastern Europe and Central Asia face significant threats from climate change, with a number of the most serious risks already in evidence; b) vulnerability over the next 10 to 20 years is likely to be dominated by socioeconomic factors and legacy issues; c) even countries and sectors that stand to benefit from climate change are poorly positioned to do so; and d) the next decade offers a window of opportunity for ECA countries to make their development more resilient to climate change while reaping numerous co-benefits.

The water supply systems in hilly regions of Bangladesh predominantly rely on surface water, particularly spring water. Groundwater is an alternative, but extraction is difficult due to the intricate geological profile, significant aquifer depth from the hilltop, and complicated hydrogeological structure. This study investigates the water quality and availability of potable water in the hilly region of Sajek, Rangamati. The research was conducted by analyzing 39 water samples, a survey involving 156 participants, and two focus group discussions. The water quality was assessed by collecting samples of tank storage, spring, chara (small pond), and drinking water. The study of the water quality parameters exposed the extreme conditions of the drinking water sources in the area. The mean total coliform (TC) and faecal coliform (FC) in June ranged from 2 CFU/100 ml to 163 CFU/100 ml, with the highest TC measured at 163 CFU/100 ml in spring water samples and the highest value of FC measured in chara water 149 CFU/100 ml. In October, the highest TC value recorded for the spring water samples was 174 CFU/100 ml, and FC was 155 CFU/100 ml, which exceeds the national limit of 0 CFU/100 ml. Spring water showed the highest turbidity of 13.97 NTU compared to other months and all the water sources. In June, the total dissolved solid (TDS) was the highest (54.333 mg/l) in the chara water sample and the lowest in the DW 2 sample (23.967 mg/l). The finding shows presence of potentially harmful bacteria in all water samples, indicating that none of the water sources are safe for drinking and require treatment before consumption. Considering the water quantity, community perception analysis revealed that almost all respondents attribute this scarcity to increased tourist numbers, high water costs, and dependence on a single spring water source. The cost of water in Sajek is 5 times higher compared to Chittagong WASA (CWASA), highlighting severe water crisis. Another finding revealed that the community lacks adaptive technologies to address water scarcity effectively, as they do not utilize or develop appropriate strategies. To overcome these problems the study concludes by finding a community-based model that outlines the responsibilities of stakeholders, including local and central governments, non-governmental organizations (NGOs), and community members which will be effective for reducing the scarcity of the safe drinking water.

The emergence of the new SARS-CoV-2 virus two years ago strongly affected economic life and labour markets around the world. The pandemic affected many sectors, including the mining industry. Coal companies have had to cope with the challenges and adapt their operations to the situation. Due to the peculiarities of the mines, not only to the hazardous factors and conditions prevailing underground but also to the large number of employees who usually move in groups in the plants, the emergence of a new threat caused by a biological agent posed a real challenge for them. The aim of this paper was to present the initiatives and measures taken in the coal mining sector to ensure the safety of workers during a pandemic. The guidelines for the operation of mining plants during the SARS-CoV-2 epidemic were analysed, as well as the identification of locations in mining plants particularly vulnerable to infection with the virus. We also presented how the pandemic period affected the operations of a selected coal company in Poland from an economic point of view.

Nigeria receives funds from several global health initiatives that are aimed at addressing elevated risks and overall burden of infectious disease outbreaks. These funds include the Global Fund to Fight AIDS, Tuberculosis and Malaria; US President's Emergency Plan for AIDS Relief; US President's Malaria Initiative; and Global Polio Eradication Initiative. These initiatives have contributed to a substantial reduction in illness and death from HIV, tuberculosis, malaria, and polio. However, Nigeria has experienced mixed success with leveraging the capacities built through these donor-funded vertical programs to respond to new health threats. This report describes experiences using resources from vertical disease programs by the Nigeria Centre for Disease Control in response to the 2014-2016 Ebola outbreak in West Africa and the COVID-19 pandemic. Integrating resources from different disease programs with government-led systems and institutions will improve responses to endemic outbreaks and preparedness for future pandemics in Nigeria.

Machine learning approaches have been widely used for the identification of neuropathology from neuroimaging data. However, these approaches require large samples and suffer from the challenges associated with multi-site, multi-protocol data. We propose a novel approach to address these challenges, and demonstrate its usefulness with the Autism Brain Imaging Data Exchange (ABIDE) database. We predict symptom severity based on cortical thickness measurements from 156 individuals with autism spectrum disorder (ASD) from four different sites. The proposed approach consists of two main stages: a domain adaptation stage using partial least squares regression to maximize the consistency of imaging data across sites; and a learning stage combining support vector regression for regional prediction of severity with elastic-net penalized linear regression for integrating regional predictions into a whole-brain severity prediction. The proposed method performed markedly better than simpler alternatives, better with multi-site than single-site data, and resulted in a considerably higher cross-validated correlation score than has previously been reported in the literature for multi-site data. This demonstration of the utility of the proposed approach for detecting structural brain abnormalities in ASD from the multi-site, multi-protocol ABIDE dataset indicates the potential of designing machine learning methods to meet the challenges of agglomerative data. [Display omitted] •A machine learning method to deal with challenges of agglomerative data is proposed.•We demonstrate the method by predicting the symptom severity in ASD based on MRI.•We use the imaging data from the multi-site, multi-protocol ABIDE database.•The proposed method performed better than simpler alternatives.•It also benefited from the multi-site data.

The journal The Lancet recently published a countdown on health and climate change. Attention was focused solely on humans. However, animals, including wildlife, livestock and pets, may also be impacted by climate change. Complementary to the high relevance of awareness rising for protecting humans against climate change, here we present a One Health approach, which aims at the simultaneous protection of humans, animals and the environment from climate change impacts (climate change adaptation). We postulate that integrated approaches save human and animal lives and reduce costs when compared to public and animal health sectors working separately. A One Health approach to climate change adaptation may significantly contribute to food security with emphasis on animal source foods, extensive livestock systems, particularly ruminant livestock, environmental sanitation, and steps towards regional and global integrated syndromic surveillance and response systems. The cost of outbreaks of emerging vector-borne zoonotic pathogens may be much lower if they are detected early in the vector or in livestock rather than later in humans. Therefore, integrated community-based surveillance of zoonoses is a promising avenue to reduce health effects of climate change.