Climate Change Impacts and Adaptation in a Hill Farming System of the Himalayan Region: Climatic Trends, Farmers’ Perceptions and Practices

Farming communities in the hills and mountains of the Himalayan region are some of the most vulnerable to the changing climate, owing to their specific biophysical and socioeconomic conditions. Understanding the observed parameters of the changing climate and the farmers’ perceptions of it, together with their coping approaches, is an important asset to making farming communities resilient. Therefore, this study aimed to explore the observed change in climatic variables; understand farmers’ perceptions of the changing climate; and document their adaptation approaches in farming systems in the mid-hills of the central Himalayas. Data on the observed change in climatic variables were obtained from the nearby meteorological stations and gridded regional products, and farmers’ perceptions and their adaptation practices were collected from household surveys and from the interviews of key informants. The analysis of temperature data revealed that there has been a clear warming trend. Winter temperatures are increasing faster than summer and annual temperatures, indicating a narrowing temperature range. Results on precipitation did not show a clear trend but exhibited large inter-annual variability. The standardized precipitation index (SPI) showed an increased frequency of droughts in recent years. Farmers’ perceptions of the changing climate are coherent with the observed changes in climatic parameters. These changes may have a substantial impact on agriculture and the livelihood of the people in the study area. The farmers are adapting to climate change by altering their farming systems and practices. Location-specific adaptation approaches used by farmers are valuable assets for community resilience

Climate Change Impacts and Adaptation in a Hill Farming System of the Himalayan Region: Climatic Trends, Farmers’ Perceptions and Practices

Farming communities in the hills and mountains of the Himalayan region are some of the most vulnerable to the changing climate, owing to their specific biophysical and socioeconomic conditions. Understanding the observed parameters of the changing climate and the farmers’ perceptions of it, together with their coping approaches, is an important asset to making farming communities resilient. Therefore, this study aimed to explore the observed change in climatic variables; understand farmers’ perceptions of the changing climate; and document their adaptation approaches in farming systems in the mid-hills of the central Himalayas. Data on the observed change in climatic variables were obtained from the nearby meteorological stations and gridded regional products, and farmers’ perceptions and their adaptation practices were collected from household surveys and from the interviews of key informants. The analysis of temperature data revealed that there has been a clear warming trend. Winter temperatures are increasing faster than summer and annual temperatures, indicating a narrowing temperature range. Results on precipitation did not show a clear trend but exhibited large inter-annual variability. The standardized precipitation index (SPI) showed an increased frequency of droughts in recent years. Farmers’ perceptions of the changing climate are coherent with the observed changes in climatic parameters. These changes may have a substantial impact on agriculture and the livelihood of the people in the study area. The farmers are adapting to climate change by altering their farming systems and practices. Location-specific adaptation approaches used by farmers are valuable assets for community resilience

Attitudes of Fruit and Vegetable Farmers towards Organic Farming in Kathmandu Valley, Nepal

Organic farming is increasingly popular among the farmers of Kathmandu valley. However, the organic growers have been facing issues in production, organic certification, and product marketing. To date, little is known about the challenges faced by the organic growers in Kathmandu valley. This study aimed to explore the status of organic farming, attitudes of farmers towards organic farming, their suggestions for improvement, and strengthening the value chain of organic products. Face-to-face interviews were conducted at Agriculture Knowledge Centre, Lalitpur, Nepal during December 2019 with 37 organic growers directly or indirectly involved in organic farming. The results showed that organic growers face challenges in marketing and institutional recognition. Challenges in product certification and marketing were reported by 45.95% of the total interviewed organic growers while following organic practices (transitional organic). Our study suggested that reducing the cost of production through easy access to organic inputs like organic seeds, fertilizers, and biopesticides are highly desired by the growers. Participatory Guarantee System (PGS) or group certification along with collective marketing could be the policy implications to address the issues. Organic farming in Kathmandu valley is limited to a niche market; however, due to increasing consumer demand for safe, fresh, and local food, the popularity of organic products is extending to other regions within the country

Long-term trends of direct nitrous oxide emission from fuel combustion in South Asia

An increasing concentration of nitrous oxide (N2O) in the global atmosphere can perturb the ecological balance, affecting the climate and human life. South Asia, one of the world's most populous regions, is a hotspot for N2O emission. Although agriculture traditionally dominated the region, economic activities are rapidly shifting towards industry and energy services. These activites may become the largest emitters of N2O in future. Yet, few attempts have been made to estimate long-term direct N2O emission from fuel combustion for the different energy-consuming sectors in the South Asian region. Therefore, the present study developed a comprehensive sectoral N2O emission inventory for South Asian countries for the time period of 1990–2017, with projections till 2041. It revealed that the average N2O emission from fuel combustion in the South Asia region is about 40.96 Gg yr−1 with a possible uncertainty of ±12 Gg yr−1, showing an increase of more than 100% from 1990 to 2017. Although India is the major contributor, with an average of 34 Gg yr−1 of N2O emissions, in terms of growth, small countries like Bhutan and Maldives are dominating other South Asian countries. Sector-wise, the residential sector contributed a maximum emission of 14.52 Gg yr−1 of N2O but this is projected to reduce by more than 50% by 2041. This is because of the successful promotion of cleaner fuels like liquefied petroleum gas over more polluting fuelwood. Power generation contributed 9.43 Gg yr−1of N2O emissions, exhibiting a maximum growth of 395%, followed by road transport (289%) and industry (231%). Future N2O emissions from transport, power and industry are projected to rise by 2.8, 3.3, and 23.9 times their 2017 estimates, respectively, due to the incapability of current policies to combat rising fossil fuel consumption. Mitigation options, such as replacing diesel and compressed natural gas vehicles with electricity-driven vehicles, can decelerate N2O emissions to 45% by 2041 for road transport. A 41% reduction is possible by displacing coal with renewables in the power and industry sectors. Overall, the South Asian contribution to global N2O emissions has enlarged from 2.7% in 1990 to 5.7% in 2007–2016, meaning there is an urgent need for N2O emission mitigation in the region

Assessment of on farm agrobiodiversity and its role in food sufficiency in mid hill, Nepal

A survey was conducted in the agricultural farms in Dhulikhel Municipality, mid-hill, Kavre, Nepal aiming at assessing the status of agrobiodiversity with the purpose of understanding its role in food security taking altogether 133 farming households scattered in several settlements with lowland, upland, and home garden being the general agricultural land use systems. Biodiversity index: Shannon-Wiener Index was used to assess diversity of plant. The main purpose was to assess the farm agrobiodiversity and to find out whether biodiversity level has a direct link to household food self-sufficiency. For descriptive analysis frequency, percentage, mean and standard errors were used. In the case of inferential statistics independent sample t - test and binary logistic was used to find the odd ratio of practicing home garden. The result showed that the average landholding size was 0.66 ha/household with 0.37 ha, 0.3 ha, and 0.06 ha being upland, low land, and home garden, respectively. A total of 136 plant species were documented out of which 74 were the effective number of species in the study area. Among the used plants, fodder shared 27% of the total plant diversity followed by fruit (21%), vegetable (19%), medicinal plants (8%), pulses (8%), spices (7%), oilseeds (5%) and cereals (5%). Similarly, the mean livestock unit (LSU) was 2.65. The overall Shannon-Wiener Index was 4.30 indicating high diversity of species and 87.7% of the species were evenly distributed. The Index was higher for vegetable (3.11) followed by fruits (2.9) and fodder (2.85). Higher diversity was found in fodder trees in lowlands whereas vegetable species were more diverse in upland and home garden. Similarly, the Index was 4.29 in the upland whereas it was 4.078 in the home garden followed by 3.13 in the lowland. The evenness was 0.899, 0.87, and 0.74 in upland, home garden and lowland, respectively. Higher species diversity revealed that the site was rich in agrobiodiversity. A significant positive correlation (0.22) was observed between Shannon-Wiener Index and farming years. Similarly, positive correlation (0.33) was found between an increase in the level of agrobiodiversity and food self-sufficiency. The result demonstrated that increasing crop diversity increases the household’s ability towards food sufficiency implying the need for the formulation and implementation of efficient policy to conserve the agrobiodiversity at municipality as well as national levels

Effect of planting geometry on yield and yield attributes of drought tolerant rice varieties in Nawalparasi, Nepal

A field experiment was conducted, to evaluate the yield and yield attributes of drought tolerant rice (Oryza sativa L.) varieties under different planting geometry in Narayani-7, Nawalparasi, Nepal from May to November, 2014. The experiment was carried out in two factor Randomized Complete Block Design with three replications consisting three rice varieties (Sukhadhan-4, Sukhadhan-5 and Radha-4) and four planting geometry (15 cm × 10 cm, 15 cm × 15 cm, 20 cm × 15 cm and 20 cm × 20 cm). The results revealed that the highest grain yield (6.5 t ha-1) was obtained from planting geometry 20 cm ×15 cm with highest number of effective tillers m-2 (342.6) and highest harvest index (44.8%) while, number of filled grains panicle-1 and panicle length was found statistically at par with 20 cm × 20 cm and 20 cm × 15 cm planting geometry. However, the straw yield and test weight were non-significant with different planting geometry. Regarding tested varieties, Sukhadhan-5 produced highest grain yield (6.1 t ha-1) with highest number of effective tillers (337 m-2), more number of filled grain panicle-1 (144) and more harvest index (44%) compared to other tested varieties in the experiment. The Sukhadhan-4 recorded the longest panicle (28.5 cm) while Radha-4 produced significantly highest straw yield (8.1 t ha-1). Thus, Sukhadhan-5 with planting geometry 20 cm × 15 cm found more economical and profitable to grow in rainfed lowland ecosystem in Terai and inner Terai areas of Nepal

Production and Profitability of Hybrid Rice Is Influenced by Different Nutrient Management Practices

The government of Nepal has recommended blanket fertilizer application for rice cultivation, which results in lower nutrient use efficiency (NUE) particularly under rainfed conditions. With the aim of finding an appropriate nutrient management practices concerning rice production and profitability, a field experiment was conducted during rainy season of 2017 and 2018 at Kavrepalanchowk and Dang district of Nepal. Altogether, five treatments comprising various nutrient management practices viz. Nutrient Expert Model (NE), use of Leaf Color Chart (LCC), Government Recommended Fertilizer Dose (GON), Farm Yard Manure (FYM), and Farmers’ Field Practice (FFP), were laid out in RCBD with four replications in farmers’ fields. The analysis of variance showed significant difference between treatments for test weight and grain yield in Kavrepalanchowk whereas all traits except number of effective tillers were significant in Dang. The significantly higher grain yield and harvest index were obtained in NE, followed by LCC; and the overall straw yield was highest in LCC, followed by NE in both the locations. Also, yield gap analysis suggested the NE had 44.44% and 23.97% increase in yield as compared to FPP in Kavrepalanchowk and Dang, respectively. The combined analysis with Best Linear Unbiased Estimator revealed the interaction of nutrient management and location significantly effects the straw yield and harvest index across both the locations. The estimated mean straw yield and harvest index were 10.93 t/ha and 34.98%, respectively. Both correlation study and biplot of principal component analysis signaled grain yield had positive correlation with all other traits. Furthermore, the net revenue was maximum for NE, followed by LCC in both the locations. The benefit: cost ratio was highest for NE which was 1.55 in Kavrepalanchowk and 2.61 in Dang. On the basis of these findings, NE and LCC can be effectively used as nutrient management practice by the farmers to obtain maximum production and profitability in Rice

Production and Profitability of Hybrid Rice Is Influenced by Different Nutrient Management Practices

The government of Nepal has recommended blanket fertilizer application for rice cultivation, which results in lower nutrient use efficiency (NUE) particularly under rainfed conditions. With the aim of finding an appropriate nutrient management practices concerning rice production and profitability, a field experiment was conducted during rainy season of 2017 and 2018 at Kavrepalanchowk and Dang district of Nepal. Altogether, five treatments comprising various nutrient management practices viz. Nutrient Expert Model (NE), use of Leaf Color Chart (LCC), Government Recommended Fertilizer Dose (GON), Farm Yard Manure (FYM), and Farmers’ Field Practice (FFP), were laid out in RCBD with four replications in farmers’ fields. The analysis of variance showed significant difference between treatments for test weight and grain yield in Kavrepalanchowk whereas all traits except number of effective tillers were significant in Dang. The significantly higher grain yield and harvest index were obtained in NE, followed by LCC; and the overall straw yield was highest in LCC, followed by NE in both the locations. Also, yield gap analysis suggested the NE had 44.44% and 23.97% increase in yield as compared to FPP in Kavrepalanchowk and Dang, respectively. The combined analysis with Best Linear Unbiased Estimator revealed the interaction of nutrient management and location significantly effects the straw yield and harvest index across both the locations. The estimated mean straw yield and harvest index were 10.93 t/ha and 34.98%, respectively. Both correlation study and biplot of principal component analysis signaled grain yield had positive correlation with all other traits. Furthermore, the net revenue was maximum for NE, followed by LCC in both the locations. The benefit: cost ratio was highest for NE which was 1.55 in Kavrepalanchowk and 2.61 in Dang. On the basis of these findings, NE and LCC can be effectively used as nutrient management practice by the farmers to obtain maximum production and profitability in Rice