This study highlights drought characteristics and the many responses to drought stresses employed by Turkana pastoralists of northwestern Kenya. Multiple data sources, including socioeconomic interviews with 302 households, focus group discussions, and informal interviews with pastoralists were used to capture various aspects of drought and drought adaptation and coping practices. Standardized precipitation index derived from long-term rainfall data obtained from the Kenya Meteorological Service was used to quantify different degrees of drought intensity between 1950 and 2012. Results revealed that extreme drought events were increasingly frequent, and have impacted negatively on pastoral livelihoods. In order to adapt to or cope with climatic anomalies, households are using a variety of strategies. In addition to the traditional short-term coping mechanisms, the long-term adaptation strategies used include diversification of livelihood sources; livestock mobility to track forage and water resources; diversification of herd composition to benefit from the varied drought and disease tolerance, as well as fecundity of diverse livestock species; and sending children to school for formal education as a long term investment expected to pay back through income from employment. Policies and development interventions that reduce risks, diminish livelihood constraints, and expand opportunities for increased household resilience to drought are critical complements to the existing pastoral strategies.

This study uses statistical and econometric tools to measure households’ vulnerability in pastoral rangelands of Kenya. It considered 27 socio-economic and biophysical indicators obtained from 302 households’ in-depth interviews to reflect climate vulnerability components: adaptive capacity, exposure and sensitivity. The theoretical framework used combines exposure and sensitivity to produce potential impact, which was then compared with adaptive capacity in order to generate an overall measure of vulnerability. Principal component analysis (PCA) was used to develop weights for different indicators and produce a household vulnerability index (HVI) so as to classify households according to their level of vulnerability. In order to understand the determinants of vulnerability to climate-induced stresses, an ordered probit model was employed with predictor variables. The results show that 27% of households were highly vulnerable, 44% were moderately vulnerable and 29% of households were less vulnerable to climate-induced stresses. Factor estimates of the probit model further revealed that the main determinants of pastoral vulnerability are sex of household head, age of household head, number of dependents, marital status, social linkages, access to extension services and early warning information, complementary source of income, herd size and diversity, herd structure, herd mobility, distance to markets, employment status, coping strategies and access to credit. Therefore, policies that address these determinants of vulnerability with emphasis on women's empowerment, education and income diversifications are likely to enhance resilience of pastoral households.

There is a growing concern that climate variability and change, combined with other environmental, social and political pressures, may overwhelm resilience of pastoral systems if local adaptation strategies are not strengthened. Understanding pastoralists’ perception of and response to climatic change is necessary for sustainable adaptation strategies. Systematic and purposive sampling techniques were used to select 302 households in Turkana County of northwestern Kenya. Descriptive statistics and Heckman probit model were used to analyse the data obtained from the household's interviews. The results show that majority of households’ perceive rise in temperatures and rainfall variability over the past three decades. Pastoralists’ perception of climate change was significantly (p<.05) associated with gender of the household head, livestock ownership, herd size and access to extension services. Heckman's sample selectivity probit model revealed that factors influencing pastoralist's choices of climate change adaptation include gender and education level of the household head, household size, wealth in terms of livestock ownership, distance to markets, access to credit and extension services. We conclude that as a prerequisite for long-term commitment to household's climate resilience, policies and programmes should aim at improving these factors.