Search Results (7)

Floods are the most frequent and devastating disasters in Bangladesh. The riverine islands, known as char-lands, are particularly vulnerable to flooding. As flooding poses a significant threat to the lives and livelihoods of residents, especially farmers, it is crucial to understand how they perceive flood risk and assess their adaptation strategies in this geographically susceptible context. However, the existing literature has not adequately addressed these issues. Therefore, this study aims to analyze the factors influencing farmers’ perceptions of flood risk and their assessments of flood adaptation. In a survey of 359 farmers in Bangladesh’s char-land region, located in the Chauhali sub-district (Upazila) of Sirajganj district, we used the protection motivation theory (PMT) to measure farmers’ perceived flood risk and adaptation assessments. Multiple regression analysis was employed to identify factors influencing them. Farmers prioritized the risk to livelihoods (production and income) over psychological aspects (health and diseases). Larger farms, more flood experience, and greater risk awareness are associated with higher overall flood risk perception and better flood adaptation, indicating higher self-efficacy, response efficacy, and response cost among farmers. Farmers perceived lower flood risk in exchange for greater house distance from the river and more trust in government actions. Hence, strengthening campaigns and programs is crucial to understanding flood risk in char-lands for improved adaptation to floods. The study highlights the application of PMT to assess farmers’ perceptions of flood risk and their attitudes towards adaptation, suggesting further research opportunities. Full article

Subsurface (or tile) drainage improves land productivity by enhancing soil aeration and preventing water-logged conditions. However, the continuous expansion of drained agricultural lands and reliance on synthetic fertilizer in the Midwestern United States have increasingly facilitated nitrate transport from agricultural fields to surface water bodies. Hence, there is a need to implement various agricultural best management practices (BMPs) in order to reduce the adverse water quality impacts resulting from excess nitrate, such as eutrophication and the formation of hypoxic zones. In this study, we used a SWAT+ model to assess the overall impacts on the riverine nitrate load and crop yield in the corn–soybean cropping system based on a combination of different management practices. The corn and soybean yields simulated with the model were found to be in good agreement with the observed yields for both the calibration and validation periods. The long-term simulation over a period of 30 years showed a reduction in the nitrate load of up to 32% without impacting the crop yield. The model results suggest that by reducing the current N application rate by 20% and using a 40:60 split between spring pre-plant and side-dressing N applications combined with cereal rye as a cover crop in corn–soybean rotation, one can potentially reduce nitrate losses without impacting crop yields. This study will help researchers, stakeholders, and farmers to explore and adopt alternative management practices beneficial for offsetting the environmental impacts of agricultural productions on the watershed scale. Full article

The report of the 19th National Congress of the Communist Party of China first proposed the strategy of rural revitalization. This proposal constitutes a major strategic deployment for work related to “agriculture, the countryside and farmers” based on China’s national and agricultural conditions and scientific analysis of the new problems faced by agricultural and rural reform in the new era. China’s agricultural development is facing multiple challenges, such as market competition, resource scarcity, environmental constraints, labor exodus, and technological innovation. Additionally, China’s agricultural production is inefficient, farmers’ income is low, and the hollowing out of the countryside has further intensified. To address these challenges, the Party Central Committee made the major decision to implement the rural revitalization strategy, and governments at all levels have introduced a series of policies to support agriculture. However, with the rapid advancement of industrialization and urbanization, the proportion of agricultural output to the total output of the national economy and the proportion of the agricultural labor force to the social labor force are not decreasing, and the idea of seizing the opportunities offered by agriculture is no longer able to solve the current dilemma faced by agricultural and rural development. Expanding the function of agriculture and actively docking with the industry and the service industry are a major strategic initiative for actively adapting to the new normal of economic development. They also represent major innovative thinking to accelerate the transformation of the agricultural development mode. Only when industries are prosperous can rural revitalization have a strong material foundation. To achieve industrial prosperity, industrial integration is the key. Therefore, the realization of rural industrial revitalization must take the path of industrial integration and development. At present, research on rural industrial integration is limited to the local regions, such as provinces and cities, and analysis at the level of national rural industrial integration is lacking. Accelerating the integrated development of rural industries is key to promoting rural revitalization. This paper scientifically establishes an evaluation index system for the level of rural industrial integration development based on five related aspects: society, the economy, resources, facilities, and the environment. Factor analysis is used to reduce the dimensionality of the evaluation index system, and cluster analysis is used to classify the rural industrial integration development level of each province in China into different tiers. The results show that there are obvious regional differences in the levels of rural industrial integration development in China. The provinces and cities with development levels that are higher than average (i.e., scores ranging from 0.291 to 0.915) are concentrated in the eastern coastal areas and inland riverine areas. In contrast, those with development levels that are lower than average (i.e., scores ranging from −0.504 to −0.750) are concentrated in Northern China, the northeastern noncoastal areas and northwestern areas. In addition, provinces can be divided into five development tiers of rural industrial integration. Based on this information, national, provincial, and municipal improvement strategies are proposed to address the differences in development among and the prospects for each province, and to effectively promote the integration of rural industries in China. Full article

The labor relationship developed by the Amazonian riverside dwellers is weakened due to changes in temperature, the flood pulse, the ebb tide of the rivers, and precipitation. In this context, this research aimed to evaluate the impacts of climate change on the socio-biodiversity chains in the region of Médio Juruá-Amazonas. Collections were carried out in two communities located in the Sustainable Development Reserve (RDS) Uacari, in July 2022, through participatory workshops. The communities affirm that the extreme flood events of the Juruá River are more intense in recent years, both concerning the extreme levels of the river and in periodicity and speed of flooding. The large floods have impacted the productive calendar, generating losses for farmers. In addition, rubber trees and cassava plantations have been dying with the large floods, and oil seeds are being carried by the water before harvest. The physical data of the Juruá River shows a trend of increasing extreme floods over the last 40 years for the period November to April, highlighting the years 2013 to 2015 and 2021 with the largest positive anomalies. Farmers have adapted their calendars, modified some planting areas to locations with higher altitudes and farther from the river banks, and have sought new rubber matrices. The results point to the need for mitigation and adaptation measures promoted by local governments. Full article

Global climate change, although gradual, is already clearly perceptible for the whole society; however, its impacts affect individuals and regions in diverse ways. Riverine communities in the Brazilian Amazon are highly vulnerable to this change, as seasonal hydroclimatic cycles govern their daily lives, integrate their way of life with the environment, and determine the organization of social and agricultural calendars. This work aimed to understand the impacts caused by climate change on the lives of riverine family farmers on the lower Rio Negro. Initially, through the analysis of changes in hydroclimatic trends and, later, through the description of perception, we tried to present the impacts on the ways of life to then know the climate adaptation strategies. The research was carried out in the state of Amazonas, in the riverine communities Tiririca, Marajá, Santo Antônio, and Terra Preta, located in the Rio Negro Sustainable Development Reserve, with 43 subjects through semi-structured and focus group interviews. Historical trends in the seasonality of the hydrological regime, precipitation, and temperature were analyzed, while qualitative data from environmental perception were analyzed using the technique of content analysis. Physical records of local climate variability and environmental perception are, in most cases, compatible and indicate that hydroclimatic cycles are changing. For the riverine people, the rains have been decreasing and there is unanimity in the perception that the increase in temperature is a reality that has affected their way of life at work, education, health, and food. Although communities have been developing spontaneous adaptive strategies to mitigate the effects of climate change, effective public policies need to reinforce these local responses to climate variability, contributing to the quality of life of populations. Full article

Flood damage assessments provide critical information for flood hazard mitigation under changing climate conditions. Recent efforts to improve and systemise damage assessments have focused primarily on urban environments with few examples for primary industries such as dairy. This paper explores the adverse consequences of flooding on dairy farms in the Bay of Plenty region, New Zealand. Ex-tropical Cyclone Debbie in April 2017 caused prolonged riverine and surface water flooding on over 3500 hectares of dairy farmland. The event provided an opportunity to develop and apply a participatory approach for collecting information about on-farm flood damage, and both response and recovery actions implemented by dairy farmers. Semi-structured interviews and transect walks with farmers revealed a range of direct and indirect damages to production and capital assets, influenced by duration of inundation, silt deposition and seasonality. Results highlight the need to identify on-farm and off-farm asset interdependencies of dairy farm systems to estimate long-term socio-economic consequences at farm-level. Enhancing dairy farm flood resilience in a changing climate will rely on farm-level response and recovery plans, proactively supported by emergency management agencies, farm service suppliers and support agencies. Full article

This study proposes a novel index to evaluate agricultural vulnerability to climate change in coastal areas, using the case of Andhra Pradesh, the state with the second longest coastline in India. Field data was collected from more than 1000 farmers (involved in over 50 varieties of crops) in 22 riverine and coastal case study areas. Data was collected through site visits, surveys and five workshops conducted between November 2018 and June 2019. Based on the collected data sets, a new Agricultural Coastal Vulnerability Index (AGCVI) was developed and applied to the 22 sites located in two districts (Krishna and Guntur) of Coastal Andhra Pradesh. The analysis revealed that the areas with three crop seasons (Kharif, Rabi and Zaid) per year are highly vulnerable to climate change. On the other hand, sites with one crop season (Kharif) per annum are the least vulnerable to climate change. Moreover, grains (particularly rice), flowers and fruit crops are more susceptible to climate change and its induced impacts. Rice is no longer a profitable crop in the case study areas partly as a result of unfavourable weather conditions, inadequate insurance provision and lack of government support for farmers. Cumulatively, all these circumstances impact farmers’ incomes and socio-cultural practices: this is leading to a marriage crisis, with a reduction in the desirability of matrimony to farmers. These findings provide valuable information that can support climate and agriculture policies, as well as sustainable cropping patterns among farmers’ communities in coastal areas of India in the future. Full article