9pgs, This research was conducted in Swabi district of Khyber Pakhtunkhwa with the aims to study the knowledge of farmers and to evaluate the perceptions of the farmers about Climate Change (CC). To accomplish these objectives primary data was collected from 98 randomly selected farmers by structure questionnaire through face to face interview method and was analysed by using descriptive statistics. Findings revealed that majority (93%) of farmers were aware of CC phenomena and perceived changes in temperature (89%) and precipitation (86%) during the last decade. Crop diversification, soil and water management practices and application of necessary farm inputs were the farmer’s preferred adaptive strategies to CC. Barriers to adaptive strategies were the ineffective government support, lack of capital, information and extension services, traditional beliefs and high cost of farm inputs. The study concludes that climate is changing and the farmers are practicing different adaptive strategies to overcome this problem, but still there is a space for more scientifically verified strategies which can boost the farmer’s productivity and increased the overall wellbeing for the future sustainability of farming.
11 pages., Pakistan is highly vulnerable to extreme climatic events, such as floods and droughts. This study determines the farmers’ risk perception, risk attitude, adaptation measures and various aspects of vulnerability to climate change (e.g. floods, droughts, heavy rainfalls, pests and disease) at farm level in rural Pakistan. The risk perception and attitude of farm households are crucial factors that influence farm productivity, investment and management decisions at this level. A well-designed questionnaire was used to interview 720 farm households from six districts of the Khyber Pakhtunkhwa province. A binary logit model was used to determine the main factors that affect the choice of adaptation strategies of the farm household. The findings revealed that crop diversification, changing crop varieties, altering the crop calendar, varying the fertilizer used, mulching and farm insurance were the main adaptation strategies followed by farm households. The results of the binary logit model revealed that age, education, farm size, household size, credit accessibility, annual income and the perception on the increase in temperature and decrease in rainfall had significant influence on the selection of the adaption strategies. The findings of this study can provide guidance, policy recommendations and reference for future researchers.
