Environmental impacts of technological change in Bangladesh agriculture: farmers' perceptions and empirical evidence

Concern about the environmental impacts of technological change in agriculture, and studies exploring farmers' perceptions of this issue are nascent. This paper provides an insight into the environmental impacts of modern agricultural technology, as perceived by Bangladeshi farmers. This is supported by material evidence such as soil fertility, and analyses of fertilizer and pesticide use, foodgrain production and fish catches. Farmers are well aware of the adverse environmental impacts of modern agricultural technology, although their awareness remains confined within the daily experience of their local environment, and is limited to matters such as soil fertility, fish catches and health effects. Farmers' perceptions of impacts such as toxicity in water and soils, are weak. Raising farmers' awareness of these tangible and intangible environmental impacts of modern agricultural technology is urgently needed for the development of sustainable agriculture

Incidence and predation rate of hornet (Vespa spp.) on European honeybee (Apis mellifera L.) apiary at mid-hill areas of Lalitpur district, Nepal

Predatory hornets are considered as one of the major constraints to beekeeping industry. Therefore, its incidence and predation rate was studied throughout the year at two locations- rural and forest areas of mid-hill in Laliptur district during 2016/017 to 2017/018. Observation was made on the number of hornet and honey bee captured by hornet in three different times of the day for three continuous minutes every fortnightly on five honeybee colonies. During the study period, major hornet species captured around the honeybee apiary at both locations were, Vespa velutina Lepeletier, Vespa basalis Smith, Vespa tropica (Linnaeus) and Vespa mandarina Smith. The hornet incidence varied significantly between the years and locations along with different observation dates. Their incidence and predation rates were low in early spring and summer that gradually increased with the highest peak in October and November in both locations. The maximum predation was on mid-November (62.07%) and early-November (53.49%) at rural and forest locations, respectively during 2016/017. In 2017/018, the highest predation was on early-November (70.27%) at rural area while it was in mid-November (58.62%) in the apiaries near the forest area. The population of hornet was considerably higher at forest areas and their incidence around the honeybee apiaries were negatively correlated with rainfall. Hence, assessment of the temporal and spatial population variations and predation rates along with weather parameters is helpful in to develop sustainable management plans of the hornet in apiary

Global, regional, and national burden of disorders affecting the nervous system, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

BackgroundDisorders affecting the nervous system are diverse and include neurodevelopmental disorders, late-life neurodegeneration, and newly emergent conditions, such as cognitive impairment following COVID-19. Previous publications from the Global Burden of Disease, Injuries, and Risk Factor Study estimated the burden of 15 neurological conditions in 2015 and 2016, but these analyses did not include neurodevelopmental disorders, as defined by the International Classification of Diseases (ICD)-11, or a subset of cases of congenital, neonatal, and infectious conditions that cause neurological damage. Here, we estimate nervous system health loss caused by 37 unique conditions and their associated risk factors globally, regionally, and nationally from 1990 to 2021.MethodsWe estimated mortality, prevalence, years lived with disability (YLDs), years of life lost (YLLs), and disability-adjusted life-years (DALYs), with corresponding 95% uncertainty intervals (UIs), by age and sex in 204 countries and territories, from 1990 to 2021. We included morbidity and deaths due to neurological conditions, for which health loss is directly due to damage to the CNS or peripheral nervous system. We also isolated neurological health loss from conditions for which nervous system morbidity is a consequence, but not the primary feature, including a subset of congenital conditions (ie, chromosomal anomalies and congenital birth defects), neonatal conditions (ie, jaundice, preterm birth, and sepsis), infectious diseases (ie, COVID-19, cystic echinococcosis, malaria, syphilis, and Zika virus disease), and diabetic neuropathy. By conducting a sequela-level analysis of the health outcomes for these conditions, only cases where nervous system damage occurred were included, and YLDs were recalculated to isolate the non-fatal burden directly attributable to nervous system health loss. A comorbidity correction was used to calculate total prevalence of all conditions that affect the nervous system combined.FindingsGlobally, the 37 conditions affecting the nervous system were collectively ranked as the leading group cause of DALYs in 2021 (443 million, 95% UI 378–521), affecting 3·40 billion (3·20–3·62) individuals (43·1%, 40·5–45·9 of the global population); global DALY counts attributed to these conditions increased by 18·2% (8·7–26·7) between 1990 and 2021. Age-standardised rates of deaths per 100 000 people attributed to these conditions decreased from 1990 to 2021 by 33·6% (27·6–38·8), and age-standardised rates of DALYs attributed to these conditions decreased by 27·0% (21·5–32·4). Age-standardised prevalence was almost stable, with a change of 1·5% (0·7–2·4). The ten conditions with the highest age-standardised DALYs in 2021 were stroke, neonatal encephalopathy, migraine, Alzheimer's disease and other dementias, diabetic neuropathy, meningitis, epilepsy, neurological complications due to preterm birth, autism spectrum disorder, and nervous system cancer.InterpretationAs the leading cause of overall disease burden in the world, with increasing global DALY counts, effective prevention, treatment, and rehabilitation strategies for disorders affecting the nervous system are needed

Impact of social, institutional and ecological factors on land management practices in mountain watersheds of Nepal.

Abstract This paper analyses factors influencing the adoption of land management practices in two mountain watersheds of Nepal based on information collected through a questionnaire survey of 300 households. Farmers in both watersheds have adopted several types of structural and biological land management practices to control land degradation. The stepwise multiple linear regression model ran using SPSS revealed 10 variables significantly influencing the adoption of land management technologies. The variables found significant are: extension service, caste affiliation of farmers, household agricultural labor force, landholdings with fluvents, dystrochrepts, and rhodustalfs soils, training on land management, schooling period of the household head, participation in joint land management activities, and landslide density in farmlands. The predicted R value of 0.62, R square of 0.37, and adjusted R square of 0.35 indicate moderate explanatory power of the model as a whole. However, the acceptance of the variables included in the model helps us to draw very useful policy conclusions for sustainable land management. All above mentioned variables have positive influence on the adoption of land management technologies, but remarkably, extension services were revealed as the strongest factor influencing the adoption of technologies. This indicates the positive influence of the extension service provided by the Phewatal Management Project and the need for provision of similar type extension service for farmers elsewhere in the hills of Nepal.