Determinants for choosing climate change adaptation strategies and selecting improved agroforestry practices have rarely been explored, while numerous studies have been conducted on climate change and agroforestry. This paper discusses; local understanding of climate change, climatic impacts, and factors that affect farmers’ choices of adaptation strategies, and agroforestry practices. We focused on three districts located in the mid-hills of Nepal, where farmers were adopting agroforestry practices in two forms; traditional and improved practices. We followed three techniques of social survey; household survey (n = 420), focus group discussions (n = 6), and key informant interviews (n = 24). Almost all farmers of the study areas were experiencing climatic challenges, but only 59.29% of them accepted that the challenges are induced by climate change and, likewise, 55.24% have adopted climate change adaptation measures. Diversifying crop production, shifting farming practices, changing occupation, and emigration were local adaptation strategies. Livelihood improvement, income generation, and food production were the primary motives for adopting agroforestry practices in the study area. Agroforestry as an adaptation measure to climate change was considered secondary by most farmers. Statistical analysis using a logit model revealed that age, education, and habit of growing commercial species significantly influenced farmers adopting climate change adaptation strategies. Likewise, age, education, gender, habit of growing commercial species, and income from tree products significantly influenced the choice of improved agroforestry practices as a better option. Though agroforestry was widely considered a strategy to combat climate change, only some farmers accepted it due to their awareness level. Therefore, education programs such as training, farmer field schools, door-to-door visits, etc., should be intensified to sensitize farmers about climate change and encourage them to adopt improved agroforestry practices. The findings of the study could reinforce local, national, and international allied agencies to design operative actions in the days to come.

This paper presents the analysis and interpretation of occupational and ambient particulate matter concentrations measured as PM10 at a network of ten high density road traffic intersections in Kathmandu valley during the period of February 2008 to January 2009. The purpose was to understand the pollution trends associated with the high density road traffic intersections considering the levels of particulate matter concentrations (PM10), representing the occupational and ambient air quality of the traffic police personnel of the Kathmandu valley, Nepal. The study indicates that the occupational PM10 play a significant dominant role in controlling ambient PM10 loads at the high density road traffic intersections. The occupational and ambient PM10 concentrations in high density traffic area and road intersection of Kathmandu Valley showed a marked monthly and seasonal variation. High density traffic areas and road intersection of the Kathmandu valley were seriously polluted by PM10. Monthly and yearly average occupational and ambient PM10 concentration at the high density traffic areas and road intersection greatly exceeded the 24–h average limit value (120μg m−3) in Nepal

-Intensification of food production in Nepal has been found to acidify the soils and hence increase their apparent propensity to emit N2O as measured by the N2O/(N2+N2O) product ratio of denitrification during standardized anoxic incubations (Raut et al., 2012). We hypothesized that this would lead to high N2O emission factors (EF), and tested this by measuring N2O emissions from fields on which intensified crop production (IC) had been practiced for the last 20 years, and adjacent fields having traditional crop production (TC) practices. The measurements were done every one to two weeks over a period of 12 months covering two to three cropping periods. On the sites with periodically flooded soils, the cumulated emissions for IC and TC were 15.41 and 7.23 kg N2O/ha, respectively. On the sites with permanently drained soils, the cumulated emissions were 5.43 and 1.46 kg N2O/ha (IC and TC). We used the available data on fertilizer levels to calculate an emission factor for the transition from TC to IC (EFI); i.e. View the MathML sourceΔN2O−N/ΔNfertilizer, where ΔΔN2O-N is the cumulated emission in IC minus that in TC, View the MathML sourceΔNfertilizer is the annual N input to IC minus that in TC. The EF values were 0.08 and 0.02 for the sites with permanently drained and periodically flooded soils, respectively. These factors are 2 to 8 times higher than the EF values used by IPCC to calculate emission as a function of fertilizer level. The high EFI appear to confirm our hypothesis that intensification will lead to higher emission of N2O than that predicted by the increase in nitrogen inputs, and that this is due to the soil acidification