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.
Via online issue. 3 pages., Summary of panel discussion at a Virtual Town Hall meeting of the Produce Marketing Association. Panelists noted how greenhouse technologies can soften the blow of climate change.
10 pages., Smallholder farmers in Afghanistan are already facing various risks in agricultural production due to past continuous insurgencies. Climate change is likely to amplify the risk and make them even more vulnerable. The present study attempted to evaluate the vulnerability profiles of smallholder farmers due to climate change using the IPCC Framework. Primary data on relevant parameters for assessing climate change-led social vulnerability in the region were collected by classifying study region into two zones: the plain and the hills of Yangi Qala District in Takhar province, Afghanistan. Thirteen villages from each zone were selected at random, and face-to-face interviews were conducted with ten randomly selected households in each of the selected villages in both zones based on a pre-tested questionnaire. The questionnaire contained indicators for all three dimensions of vulnerability: exposure, sensitivity and adaptive capacity. The collected data were subjected to a proposed vulnerability index, after estimating the indices of the three dimensions of vulnerability. The Iyenger and Sudershan weighting method was used to assess the contribution of each vulnerability dimension. Vulnerability was classified according to different categories based on beta distribution to evaluate the villages’ vulnerability status. The results showed that about 23% of all 26 sampled villages in both zones had low exposure, 26% moderate exposure and 51% high exposure to climate-change hazards and extreme weather events. High sensitivity was observed in 51%, moderate sensitivity in 7%, and low sensitivity in 42% of villages. High adaptive capacity to climate change was observed in 38% of villages, 19% were moderately adaptive and 42% showed a low adaptive capacity. High vulnerability was observed in 50% of villages, 4% were moderately vulnerable, and 46% had low vulnerability. A high proportion of smallholder farmers in the hilly zone in the sampled district were highly vulnerable, exposed and sensitive with a low adaptive capacity to climate change compared to the plain zone. The high vulnerability in the hilly zone was attributed to limited resources with a low adjustment capability to counter the disturbances, especially in crop cultivation, in response to climate change. A handful of low-cost and local approaches such as improving farmer extension services, introducing small-scale local infrastructure projects, reinforcing informal safety nets and protecting natural ecosystems could be viable cost-effective options that would also be sustainable given their low recurring costs and the limited maintenance required.
14 Pgs., Although climate information can aid farmers’ capacity to adapt to climate change, its accessibility and adoption by subsistence farmers hinge on the collaboration between farmers and climate information providers. This paper examines collaborations among actors in the process of climate information production and dissemination in the Namibian agricultural sector. The aim is to investigate the extent to which subsistence farmers are integrated into the collaboration process and the impact of the collaboration on the nature and accessibility of disseminated information. Key informant interviews and a questionnaire survey were used for data collection. Using network analysis, we estimated the networks’ density, clustering coefficient, and degree centrality. The study found that both the climate information production and dissemination networks have a high overall clustering coefficient (78% and 77%, respectively) suggesting a high rate of collaboration among the actors in the networks. However, the frequency of interactions between the actors in both the information production and dissemination networks and subsistence farmers remains very low. Nearly all surveyed farmers reported that they meet with information providers only once in a year. The effect of this poor interaction is reflected in the poor occurrence of feedback learning, which is needed to optimize channels of information dissemination to subsistence farmers and enhance the robustness of disseminated information. We recommend innovative communication means via mobile phone, promotion of peer-to-peer learning, flexible collaboration relations with more space for feedback from the users of climate information, and more attention to long-term forecasts and their implications for adaptive actions.
