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Background Climate change poses a threat to the sustainability of food production among small-scale rural communities in Sub-Saharan Africa that are dependent on rain-fed agriculture. Understanding farmers’ adaptations and the determinants of their adaptation strategies is crucial in designing realistic strategies and policies for agricultural development and food security. The main objectives of this study were to identify the adaptation strategies used by smallholder farmers to counter the perceived negative effects of climate change in northern Uganda, and factors influencing the use of specific adaptation strategies. A cross-sectional survey research design was employed to collect data from 395 randomly selected smallholder farmers’ household heads across two districts by the administration of a semi-structured questionnaire. Binary logistic regression was used to analyze the factors influencing farmers’ adaptation to climate change. Results The three most widely practiced adaptation strategies were planting of different crop varieties, planting drought-resistant varieties, and fallowing. Results of the binary logit regression model revealed that marital status of household head, access to credit, access to extension services, and farm income influenced farmers’ adoption of planting drought-resistant varieties as an adaptation strategy while access to credit, annual farm income, and time taken to market influenced adoption of planting improved seeds. Gender of household head and farm income had a positive influence on farmers’ adoption of fertilizer and pesticide use. Farming experience, farm income, and access to extension services and credit influenced farmers’ adoption of tree planting. Household size, farming experience, and time taken to market had positive influence on the use of fallowing, while size of land cultivated significantly influenced farmers’ planting of different crop varieties as an adaptation strategy. Conclusion Findings of the study suggest there are several factors that work together to influence adoption of specific adaptation strategies by smallholder farmers. This therefore calls for more effort from government to strengthen the provision of agricultural extension services by improving its climate information system, providing recommended agricultural inputs and training farmers on best agronomic practices to enhance their holistic adaptation to the effect of climate change.

Facing the increasingly adverse impacts of climate change, many coastal cities in developing and least-developed countries have shaped their climate adaptation plan. This study aims to unpack the state-of-the-art municipal adaptation planning in developing countries. The paper seeks to understand the types of vulnerability and explore planned adaptation options through a content analysis of adaptation planning documents in 45 selected coastal cities in developing countries. The result shows the complexity of vulnerabilities that are not only climate change impacts, but more importantly, the socio-economic sensitivity, the insufficient infrastructure system, and limited adaptive capacity. Adaptation responses, correspondingly, address primarily current vulnerabilities rather than future climate change impacts. Local climate change adaptation in developing countries, therefore, cannot separate from socio-economic development and capacity enhancement. A coordination mechanism for inter-policy is necessary to manage the trade-offs between multiple priorities.

Climate change is increasingly affecting agriculture worldwide, causing yield losses and undermining food security. Behind the international consensus on the urgent need for ambitious policies to adapt agriculture to climate change (AACC) hides a competition between three agricultural models—agroecology, climate-smart agriculture, and conventional agriculture—each carrying distinctive perspective on how agriculture should adapt to climate change. To date, no study has shown which of these three agricultural models is promoted the most by climate change adaptation policies. To shed light on this question, we undertook semi-structured surveys with resource persons, a literature review and a multi-criteria analysis, identifying and characterizing 226 AACC policy initiatives in seven countries or regions in the north (Andalusia, Occitanie, California, Guadeloupe) and the south (Colombia, South Africa, Senegal). Our aim was to identify (1) concrete strategic options mobilized by policy initiatives to adapt agriculture to climate change and (2) agricultural models that are implicitly or explicitly promoted by these policy initiatives. We identified 14 climate change adaptation options that mobilize a set of three complementary levers of action: (i) transforming production systems or enabling access to productive resources, (ii) providing access to knowledge that is useful for AACC, and (iii) coordinating and financing adaptation actions at territorial or sector scale. Agroecology and climate-smart agriculture are the two agricultural models favored in the mix of policy initiatives in all the studied sites. Despite conceptual differences, in real-life situations, these models do not conflict with each other since they are often promoted concomitantly. AACC policy initiatives, although diversified, seem too fragmented and not sufficiently restrictive to bring about rapid and profound change. This paper presents a new classification of AACC adaptation options, and is the first to reveal which agricultural models are promoted by policy initiatives in a wide range of regions.

Climate change is a global phenomenon but disproportionately affects smallholder farmers, prompting them to use various coping and adaptation strategies to counter the problem. This study aimed to examine the trends of climate parameters, assess farmers’ perception of climate change, and identify the strategies of adaptation measures in central Ethiopia. Climate data were obtained from the National Meteorological Agency. Survey data were collected from 120 randomly selected households in 2017 and complemented with focus group discussions. The Mann–Kendall approach was used to detect climate trends, while a rainfall anomaly was calculated using the rainfall anomaly index. Multinomial logit model was used to examine determinants of farmers’ adaptation to the perceived change. In most of the cases, farmers’ perceptions were in accordance with climate trend analyses. Farmers used crop diversification, adjustments of planting dates, destocking of livestock, seasonal migration, crop rotation, and climate information services to adapt to climate-related shocks. Empirical results showed that the age and education of the household heads, family size, access to extension services, and farm and nonfarm incomes had a significant association with the adaptation practices farmers took. The existence of strong correlations between the demographic, socio-institutional variables, and the choice of adaptation strategies suggests the need to strengthen local institutions to enhance the adaptation of smallholder farmers to climate change.

European mountain regions have already been impacted by climate change, and this is projected to increase in the future. These mountain regions experience rapid changes, which influence social-ecological systems in the lower-mountain and floodplain regions of Europe. There is scattered evidence across different strands of academic literature on the ways in which the impacts of changing climate in mountain regions are addressed and adaptive capacity is enhanced. Using a systematic mapping review, we mapped English-language scientific journal articles that analyzed the climate change adaptation options that are planned or implemented in European mountain regions. Our understanding of how academic literature has investigated climate change adaptation is critical to identifying key knowledge gaps and research foci. Following the Reporting Standards for Systematic Evidence Syntheses in environmental research protocol, 72 scientific articles published between January 2011 and August 2019 were identified from a total of 702 scientific articles. Our findings show that existing academic literature has a strong focus on the western and southern European mountains: the European Alps (n = 24), Pyrenees (n = 11), and Sierra Nevada (n = 4). Key climate impacts reported for the biophysical systems include reduction in forest carbon, soil erosion, changes in vegetation patterns, and changes in plant population and tree heights; in human systems, these include water availability, agricultural production, changes in viticulture, and impacts on tourism. Key adaptation options reported in this article are wetland conservation options, changing cropping and cultivation cycles, tree species management strategies, and snow-making technology. We found very few articles analyzing governance responses to planning and implementing adaptation; these had a strong bias toward techno-managerial responses. We conclude that, while climate impacts are substantial in European mountain regions, there are knowledge gaps in academic literature that need to be addressed.

Transformation of social-ecological systems due to climate change requires, transformative adaptation responses. We propose the concept of nature's contribution to adaptation (NCA; previously called adaptation services), to reveal properties of ecosystems that provide options for future livelihoods and adaptation to transformative change. Knowledge about the capacity of ecosystems to supply NCA can inform decisions by revealing options for adaptation. We analysed eight historical and contemporary case studies of transformative adaptation and found that the five cases with medium-high degree of adaptation and use of NCA showed evidence of participative learning and co-production of adaptation options, low values contestation, low power imbalances and well-developed governance arrangements. These variables indicated that communities engaged in adaptation had ownership and agency to change how they thought and acted to implement transformative adaptation. We found the use of NCAs enabled transformative adaptation by helping people overcome current decision constraints imposed by societal values, institutional rules, or knowledge deficits to create novel options and re-frame decision contexts. The NCA concept can be applied to (1) help resolve uncertainties about nature's contributions to people under environmental change; (2) reveal ecosystem properties of value for adaptation, but which are marginalised in current, dominant knowledge frameworks and decision-making; (3) act as a 'boundary object' for participative learning and co-production of adaptation options. Thus, the NCA concept represents a pragmatic, optimistic approach for societal adaptation to ecosystem transformation, countering feelings of despair that accompany the acceptance of irreversible, unavoidable loss of current ecosystem states and associated nature's contributions to people.

It is essential to understand how adaptation needs and options differ among stakeholders in protected areas (PAs) to effectively implement climate change (CC) adaptation strategies. Using the Qiangtang PA in Xizang as a case study, this research examines CC adaptation needs and options from the perspectives of stakeholders across multiple administrative levels, including provincial, prefectural, county authorities, 73 protection stations, and 13 364 pastoralists residing within the PA. The findings show that stakeholders at the provincial level, as well as those from the Ali and Naqu prefectures and six counties, place greater emphasis on institutional and resource-related needs than on other categories (attention score: 7.0–9.3 vs. 5.0–7.0). In contrast, stakeholders from the 73 protection stations prioritize technological and capacity-building needs more strongly than other types (attention score: 8.0–9.0 vs. 4.0–8.0). The 13 364 pastoralists assign the highest importance to social needs relative to other categories (attention score: 9.0–9.5 vs. 3.0–8.0). Most of the eight existing protection measures were found to indirectly support broader climate adaptation efforts. In particular, protective actions addressing fire, pests, and weather-related disasters can be classified as autonomous adaptation, while other measures generate outcomes that enhance adaptation capacity under specific conditions. Adaptation options, grouped into three main types and 13 subcategories, differ across stakeholder groups, although substantial overlap exists between these options and current protective actions, including ecosystem-based adaptation strategies, adaptation-related practices, autonomous adaptation measures, and emergency interventions. Overall, these findings highlight the critical role of all stakeholders—especially staff from the 73 protection stations and the 13 364 pastoralists—in the effective implementation of adaptation actions within the PA.

Smallholder farmers’ decisions to adopt adaptation options in response to climate change and variability are influenced by socioeconomic, institutional, and environmental factors, indicating that decision patterns can be very specific to a given locality. The prime objective of this research is to identify factors affecting smallholder farmers’ decisions to adopt adaptation options to climate change and variability in the Muger River sub-basin of the Blue Nile basin of Ethiopia. Both quantitative and qualitative data were collected using a semi-structured questionnaire, focused group discussions, and key informant interviews from 442 sampled households. Frequency, mean, Chi-square test, and one-way ANOVA were used for analysis. Furthermore, a multinomial logit model was employed to analyze the data. Results signified that small-scale irrigation, agronomic practices, livelihood diversification, and soil and water conservation measures are the dominant adaptation options that smallholder farmers used to limit the negative impact of climate change and variability in the study area. The results further revealed that adoption of small-scale irrigation as an adaptation to climate change and variability is significantly and positively influenced by access to credit, social capital, and the educational status of household heads. Greater distance to marketplace and size of farmland negatively affected the use of agronomic practices, whereas crop failure experience and access to early warning systems have a positive influence. The results also point out that adoption of soil and water conservation measures are positively affected by exposure to early warning systems, greater distance to the marketplace, and larger size of cultivated land. It is also noted that livelihood diversification is negatively influenced by socioeconomic factors such as education, the gender of the household head, and livestock ownership. Overall, the results suggested that improved policies aimed at increasing the adoption of adaptation options to offset the impact of climate change and variability should focus on: creating effective microfinance institutions and effective early warning systems, increasing farmer awareness, improving infrastructure, and encouraging farmers’ membership to many social groups. The results further suggested that agroecological and gender-based research should be promoted and increased for a more holistic understanding of farmer adaptation options.

Certain communities along the coast of Ketu South Municipality in south-eastern Ghana, remain vulnerable to coastal flood events from storm surges, high tidal waves, lagoon overflow, and heavy rainfall. However, the local conditions that make these communities vulnerable are poorly understood and knowledge on which communities are most vulnerable is lacking. This study improves the conceptual understanding of different dimensions of vulnerability that exist across the communities and the various levels of vulnerability that each exposed community exhibits. The study surveyed 354 household heads from selected flood-prone communities including Blekusu, Agavedzi, Salakope, Amutsinu, and Adina. The survey collected data on demographic, social, economic, physical, exposure, and adaptive capacity to flood hazards. The data was then used to construct composite vulnerability indices at community levels. Results from the study demonstrate that the communities have different levels of vulnerability as a result of differences in their exposure, sensitivity, and adaptive capacity levels. The willingness to relocate as an adaptation strategy was determined by household flood duration, number of livelihoods, and sea defence preference. These results are relevant to flood disaster management programs and the adoption of effective adaptation measures that take into account local knowledge. The findings imply that interventions aimed at reducing vulnerability should take into account household characteristics, as well as flood exposure, and adaptive capacity factors.

Climate change impact assessment along with adaptation measures are key for reducing the impact of climate change on crop production. The impact of current and future climate change on maize production was investigated, and the adaptation role of shifting planting dates, different levels of nitrogen fertilizer rates, and choice of maize cultivar as possible climate change adaptation strategies were assessed. The study was conducted in three environmentally contrasting sites in Ethiopia, namely: Ambo, Bako, and Melkassa. Future climate data were obtained from seven general circulation models (GCMs), namely: CanESM2, CNRM-CM5, CSIRO-MK3-6-0, EC-EARTH, HadGEM2-ES, IPSL-CM5A-MR, and MIROC5 for the highest representative concentration pathway (RCP 8.5). GCMs were bias-corrected at site level using a quantile-quantile mapping method. APSIM, AquaCrop, and DSSAT crop models were used to simulate the baseline (1995–2017) and 2030s (2021–2050) maize yields. The result indicated that the average monthly maximum air temperature in the 2030s could increase by 0.3–1.7 °C, 0.7–2.2 °C, and 0.8–1.8 °C in Ambo, Bako, and Melkassa, respectively. For the same sites, the projected increase in average monthly minimum air temperature was 0.6–1.7 °C, 0.8–2.3 °C, and 0.6–2.7 °C in that order. While monthly total precipitation for the Kiremt season (June to September) is projected to increase by up to 55% (365 mm) for Ambo and 75% (241 mm) for Bako respectively, whereas a significant decrease in monthly total precipitation is projected for Melkassa by 2030. Climate change would reduce maize yield by an average of 4% and 16% for Ambo and Melkassa respectively, while it would increase by 2% for Bako in 2030 if current maize cultivars were grown with the same crop management practice as the baseline under the future climate. At higher altitudes, early planting of maize cultivars between 15 May and 1 June would result in improved relative yields in the future climate. Fertilizer levels increment between 23 and 150 kg ha−1 would result in progressive improvement of yields for all maize cultivars when combined with early planting for Ambo. For a mid-altitude, planting after 15 May has either no or negative effect on maize yield. Early planting combined with a nitrogen fertilizer level of 23–100 kg ha−1 provided higher relative yields under the future climate. Delayed planting has a negative influence on maize production for Bako under the future climate. For lower altitudes, late planting would have lower relative yields compared to early planting. Higher fertilizer levels (100–150 kg ha−1) would reduce yield reductions under the future climate, but this varied among maize cultivars studied. Generally, the future climate is expected to have a negative impact on maize yield and changes in crop management practices can alleviate the impacts on yield.