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.
10 pages, Ongoing climate change and associated food security concerns are pressing issues globally, and are of particular concern in the far north where warming is accelerated and markets are remote. The objective of this research was to model current and projected climate conditions pertinent to gardeners and farmers in Alaska. Research commenced with information-sharing between local agriculturalists and climate modelers to determine primary questions, available data, and effective strategies. Four variables were selected: summer season length, growing degree days, temperature of the coldest winter day, and plant hardiness zone. In addition, peonies were selected as a case study. Each variable was modeled using regional projected climate data downscaled using the delta method, followed by extraction of key variables (e.g., mean coldest winter day for a given decade). An online interface was developed to allow diverse users to access, manipulate, view, download, and understand the data. Interpretive text and a summary of the case study explained all of the methods and outcomes. The results showed marked projected increases in summer season length and growing degree days coupled with seasonal shifts and warmer winter temperatures, suggesting that agriculture in Alaska is undergoing and will continue to undergo profound change. This presents opportunities and challenges for farmers and gardeners.
14pgs, The World Health Organization (WHO) has used communication methods to promote the international ban of the agricultural pesticides paraquat, glyphosate and chlorpyrifos. This ban has led to misunderstanding among farmers who still use these chemicals, which may be available under different brand names. Communication with the non-scientific community is uncertain leading to miscommunication, especially where scientific language is used. Governments have banned the use of these agricultural chemicals. The scientific arguments are not necessarily understood by famers so they may ignore the prohibition and continue using them or other similar chemicals. This study uses story-telling and qualitative research methods where a questionnaire is combined with the content analytical technique. The quantitative research method was used to collect data in the field where 351 participants took part. Participatory action research is a method where community farmers engaged in self-reflection on the impact of chemicals on their fields, their health and the health of others. Their understanding of the non-chemical usage model and good agricultural practice farmers in the vicinity, especially as they were personally involved in the creation of the media from script preparation, to acting, filming, and evaluating the final docu-dramas. The findings of the docu–drama programmes of 5 GAP farmers are presented to identify the perception of how to avoid using chemicals and their solutions for tangerine farmers through a manual that is the media output from the project and the resulting findings suggesting that the factors related to the effectiveness of scientific communication are divided into pull factors and push factors.