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Most of the studies done on pastoralists in Ethiopia either rely on qualitative data or mainly focus on descriptive analysis and thus lack rigorous econometric measures. As a result, very little is known about the economics of household level activities in pastoral production systems. Thus, the aim of this paper is to use analysis factors influencing household income among (agro‐) pastoralists of southern Ethiopia. This information therefore can contribute to more evidence‐based decision making occurring across pastoral areas and inform policy decisions regarding the design of income generating strategies in pastoral areas.

Multi stage sampling technique was followed to select 197 household heads. Descriptive statistics like mean, standard deviation and percentages were used to explain the socioeconomic characteristics of respondents. The relationship between the household income and the independent variables were estimated using multiple regression procedure.

The finding shows that wealth and income are highly skewed; agro‐pastoralists earned two‐fold more than pastoralists by virtue of their crop activity. The variables explaining the variations in income level are family size, market distance, land size, education level and livelihood diversification status. Households with larger family members, farm land, nearer to market centres, diversification status and literate heads have earned larger income than their counterparts.

Improving market access and developing marketing opportunities are essential to (agro‐) pastoralists to get the best value for their products; alongside the expansion of crop cultivation and creation of alternative livelihood opportunities and access to education should be emphasized.

The paper presents an analysis of original survey conducted by the author from December to January 2010/11.

The purpose of this paper is to determine the factors influencing adoption of African indigenous vegetables (AIVs) into the agro-pastoral farming systems aiming at improving livelihoods.

The paper is based upon the diffusion theory which is linked to the random utility theory. A survey of 205 agro-pastoral households obtained through multistage sampling technique was used. Factors influencing adoption of AIVs were estimated using a logit model.

Findings indicate that the acreage under AIVs was still very low compared to other crop enterprises with the most common types of AIVs grown being Solanum nigrum, Amaranthus spp., Cucurbita maxima, Vigna unguiculata, Basella alba and Cleome gynandra. Factors influencing adoption were found to be gender, age, farm size, education level, off-farm income and number of visits to extension officer.

Limitations include reliance on respondents’ willingness to provide correct information.

This paper adds value in its contribution to literature on diversifying agro-pastoral livelihoods through production of AIVs for income and food security.

This study aims to examine the phenomenon of climate variability and its implications for pastoralists and agro-pastoralists food security in Amibara and Awash Fentale districts of the Afar region, Ethiopia.

The study relied on meteorological records of temperature and rainfall in the study area between 1988 and 2018. Besides, literature on the topic was reviewed to make caveats on the literal picture that comes from quantitative data, and that is the contribution of this study to the existing debate on climate change and variability. The spatiotemporal trend was determined using the Mann–Kendall test and Sen’s slope estimator, while variability was analyzed using the coefficient of variation and standardized anomaly index, and standardized precipitation index/standardized precipitation evapotranspiration index were applied to determine the drought frequency and severity.

The result reveals that the mean seasonal rainfall varies from 111.34 mm to 518.74 mm. Although the maximum and minimum rainfall occurred in the summer and winter seasons, respectively, there has been a decrease in seasonal and annual at the rate of 2.51 mm per season and 4.12 mm per year, respectively. The study sites have been experiencing highly seasonal rainfall variability. The drought analysis result confirms that a total of nine agricultural droughts ranging from moderate to extreme years were observed. Overall, the seasonal and annual rainfall of the Amibara and Awash Fentale districts showed a decreasing trend with highly temporal variations of rainfall and ever-rising temperatures, and frequent drought events means the climate situation of the area could adversely affect pastoral and agro-pastoral households’ food security. However, analysis of data from secondary sources reveals that analyzing precipitation just based on the meteorological records of the study area would be misleading. That explains why flooding, rather than drought, is becoming the main source of catastrophe to pastoral and agro-pastoral livelihoods.

The analysis of temperature and rainfall dynamics in the Afar region, hence the inception of all development interventions, must take the hydrological impact of the neighboring regions which appears to be useful direction to future researchers.

The research is originally conducted using meteorological and existing literature, and hence, it is original. In this research, we utilized a standardized and appropriate methodology, resulting in insights that augment the existing body of knowledge within the field. These insights serve to advance scholarly discourse on the subject matter.

The purpose of this study is to analyze smallholder farmers’ perceptions on climate change and its stressors, their adaptation strategies and factors that influence their adaptation to climate change.

The study was conducted in Kweneng district, located in the south eastern part of Botswana. Multi-stage sampling was used to obtain a representative sample from three sub-districts in the district. A structured questionnaire was used to collect data by using face-to-face interviews.

Majority of farmers perceived an increase in mean annual temperature and the number of hot days and a decrease in mean annual rainfall and the number of rainfall days over the past 10 years as indicators of climate change. The prominent adaptation strategies included changes in planting dates for crops and supplementary feeding for livestock. The logistic regression results show that gender, age, household size, poverty, shortage of land, mixed farming and knowledge about climate change significantly influence adaptation.

The findings indicate that climate change policy should target agricultural diversification at the household level and dissemination of information on climate change and adaptation strategies.

Policy recommendations can be suggested: government climate change interventions should target agricultural diversification at the household level, and this study provides insights on what influences adaptation strategies and what should be targeted to build resilience in the agricultural sector.

The recently released fifth IPCC report indicates a high agreement among global actors on the need to integrate climate change adaptation (CCA) and disaster risk reduction (DRR). However, there remains little local level evidence on how DRR and CCA could be linked, the sorts of adjustments that are required for the two concepts to be integrated and the challenges ahead. This paper aims to provide an empirical insight on the possible links and departures between DRR and CCA.

The study used a qualitative case study approach to excavate lessons from an existing DRR intervention for CCA using a local-level adaptive capacity assessment framework as a normative criteria. Data was collected both from primary and secondary sources. The primary data collection involved the use of participatory rural appraisal techniques with village communities in Chifra District, Afar Regional State, Ethiopia.

The findings showed that the DRR interventions studied addressed parts of the elements of adaptive capacity at the local level. The findings also showed the limitation of the DRR intervention, which could be attributed to both the nature of the DRR interventions in general and implementation problems of the case study intervention in particular. The limitations show cases where full integration of DRR with CCA could be challenging.

The paper argues why the two approaches may not be integrated fully and also shows the need to focus on the design of DRR interventions in achieving both short-term (reducing disaster risks) and long-term objectives (enhancing adaptive capacity).

The purpose of this systematic review was to assess the determinant factors of climate change adaptation (CCA) in sub-Saharan Africa (SSA).

Studies that focused on determinant factors of CCA by crop–livestock farmers and pastoralists in SSA and written in English were reviewed from five major databases using the applications of Endnote and NVivo. The review process followed a sequence of steps to reach into the final selection.

A total of 3,028 papers were recovered from the databases and screened for duplicates (777) and publications before 2000 (218). The titles and abstracts of 2,033 papers were reviewed, and 1,903 of them were excluded owing to preliminary exclusion criteria. Finally, 130 papers were selected for full-text review and more detailed assessment, where 36 papers qualified for the final review. The most important determinant factors of CCA by pastoralists were household income, access to information, access to extension services, government support and access to market. In the case of agro-pastoralists, access to information, household income, age and land/livestock ownership were found as the major determinant factors. Household income, land ownership, access to information, farm size, household size and access to extension services were the determinant factors found for CCA by smallholder farmers.

This systematic review identified the major determinant factors according to production systems and highlights the importance of considering specific factors in designing CCA strategies.

After clearly stating the research question, a literature search was conducted from the major databases for climate-related research, and a comprehensive search was performed by two independent researchers.

This paper aims to understand the perception of smallholder farmers on climate change, identify major livestock related climate change adaptation (CCA) strategies and their determinants in selected neighboring districts of Tigray and Amhara regions of Ethiopia.

A total of 416 household heads were involved in a questionnaire survey using a multistage sampling approach. To understand the socio-economic factors that influence farmers’ perception on climate change (CC) and/or variability, a binary logit model was used. Multinomial logit model was used to identify the determinants of smallholder farmers’ choices of adaptation strategies.

Milk reduction, weight loss, feed shortage and frequent animal disease outbreak were indicated as major impacts of CC on livestock production. About 86.2% of the farmers’ exercise CCA measures where livestock health care and management (25%), followed by livelihood diversification (21.5%) and shifting and diversification of livestock species (20.9%) were the top three adaptation measures implemented. Education, knowledge on CCA strategies, access to veterinary service and extension, market access, annual income, non-farm income, total livestock unit, sex of household head and household size were the major determinant factors to farmers’ choice of CCA.

Concerned authorities working in CC related sectors should give due attention to improve smallholder farmers’ access to extension and veterinary services, market access and climate information to enhance their adaptive capacity to CC impacts. In addition, incorporating climate change awareness trainings into the existing extension packages is crucial to enhance the awareness of farmers on climate change and implement appropriate adaptation strategies. Moreover, it is very essential to provide appropriate herd management and marketing strategy based on the production system to avoid the significant price reduction during drought periods.

Concerned authorities working in CC related sectors should give due attention to improve smallholder farmers’ access to extension and veterinary services, market access and climate information to enhance their adaptive capacity to CC impacts. In addition, incorporating climate change awareness trainings into the existing extension packages is crucial to implement appropriate adaptation strategies. Moreover, it is very essential to provide appropriate herd management and marketing strategy based on the production system to avoid the significant price reduction during drought periods.

This research is focused on smallholder crop-livestock farmers, livestock-based CCASs and presents the determinant factors to their choice of adaptation.

Sungusungu non-state justice organizations in Tanzania exemplify large-scale cooperation. Sungusungu third-party enforcers protect property and resolve interpersonal disputes for ethnic Sukuma and individuals from other ethnic groups who have joined the hierarchically structured organizations. We use ethnographic and experimental data to highlight the importance of institutional forces when attempting to understand patterns of large-scale cooperation. We acknowledge the usefulness of considering micro-economic theories (e.g. costly signaling theory) to understand Sungusungu, but show that social institutions and a human predisposition to act as a “strong reciprocator” are important mechanisms to explain both the origins and maintenance of Sungusungu cooperation.