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21.
In view of the significance of agricultural commercialization for rural development, this study analyzed factors determining agricultural commercialization and mechanization in the hinterland of an urban centre in Morang district, Nepal. Information needed for the study was collected through a questionnaire survey, covering 120 farm households, and group discussion and key informant interviews. The regression analysis of determinants of agricultural commercialization revealed four significant variables, namely, the amount of inorganic fertilizer used, area under tractor-ploughing, area under pump-set irrigation and landholding size. The predicted R value of 0.87, R square of 0.75, and adjusted R square of 0.75 indicate the high explanatory power of the model as a whole. The regression model related to the area under pump-set irrigation predicted the degree of agricultural commercialization and the distance from the city as significantly influencing factors, with a predicted R value of 0.79, R square of 0.63, and adjusted R square of 0.62. The analysis of determinants of the area under tractor-ploughing found only the degree of commercialization as a significantly influencing factor, with a predicted R value of 0.77, R square of 0.59, and adjusted R square of 0.58. In both instances of farm mechanization, the degree of commercialization is the most influential factor, indicating the significant role of mechanization in agricultural commercialization. The major policy implications of the findings of the study are outlined.  相似文献   
22.
Flood hazards are the most destructive among all natural disasters and are a constant threat to human’s life and property. Effective disaster risk reduction strategies can be improved by geospatial approach in the way of producing information and knowledge that are useful to plan truly effective actions for the protection from floods. This research aims to develop a quantified predictive model of flood susceptibility in the Ghatal and Tamluk subdivision of Medinipur district of West Bengal, India, by means of empirically selected and weighted spatial predictors of flood. The weighted prediction model is used to quantify the spatial associations between individual geospatial factors within the flood inundated study area. Yule’s coefficient and distance distribution analysis are used to assign weights to individual geo-factors, and finally weighted spatial predictors are integrated to a multi-class index overlay analysis to derive the spatially explicit predictive model of flood susceptibility. The resultant susceptibility model reveals that approximately 32.35 and 52.99% of the total study areas (3261.45 km2) are under the category of high-to-moderate flood susceptible zone. Quantitative results of this study could be integrated into the policy process in the formulation of local and national government plans for the future flood mitigation management and also to develop appropriate infrastructure in order to protect the lives and properties of the common people of the Medinipur district.  相似文献   
23.
Amidst the increasing concern about steadily depleting forests in Laos, this paper examines its causes and existing forest management systems in Sangthong District. Forests in Sangthong were virtually undisturbed until the early 1970s. Guided by customary law, a relatively small local population utilised the forest sustainably for food, fodder, wood fuel and construction materials. Subsequently the government effectively abolished customary law through the declaration of forests as state property and the sanctioning of logging. Logging was banned in the early 1990s but forest degradation continues as a result of ongoing logging, the open access to forests, the government policy of utilising degraded forests for agriculture, and population pressure from in-migration. Village surveys show that local people appreciate ecological and economic values of forest resources and are willing to contribute to their management. These social qualities lay the foundation of a sustainable forest management system, but the evolution of this type of system has been prevented by the "open access" to forest resources. For effective forest conservation a management strategy focused on property rights reform, public participation and integrated rural development is proposed.  相似文献   
24.
Dwarka River basin in Birbhum, West Bengal (India), is an agriculture-dominated area where groundwater plays a crucial role. The basin experiences seasonal water stress conditions with a scarcity of surface water. In the presented study, delineation of groundwater potential zones (GWPZs) is carried out using a geospatial multi-influencing factor technique. Geology, geomorphology, soil type, land use/land cover, rainfall, lineament and fault density, drainage density, slope, and elevation of the study area were considered for the delineation of GWPZs in the study area. About 9.3, 71.9 and 18.8% of the study area falls within good, moderate and poor groundwater potential zones, respectively. The potential groundwater yield data corroborate the outcome of the model, with maximum yield in the older floodplain and minimum yield in the hard-rock terrains in the western and south-western regions. Validation of the GWPZs using the yield of 148 wells shows very high accuracy of the model prediction, i.e., 89.1% on superimposition and 85.1 and 81.3% on success and prediction rates, respectively. Measurement of the seasonal water-table fluctuation with a multiplicative model of time series for predicting the short-term trend of the water table, followed by chi-square analysis between the predicted and observed water-table depth, indicates a trend of falling groundwater levels, with a 5% level of significance and a p-value of 0.233. The rainfall pattern for the last 3 years of the study shows a moderately positive correlation (R 2 = 0.308) with the average water-table depth in the study area.  相似文献   
25.
Estimation of crop variables is necessary for crop type monitoring as well as crop yield forecast. At the present era artificial neural network methodology are widely used to the remote sensing domain for numerous applications like crop yield forecasting and crop type classification. In the present work, two neural network models namely general regression neural network (GRNN) and radial basis function neural network (RBFNN) are used to estimate crop variables: leaf area index (LAI), biomass (BM), plant height (PH) and soil moisture (SM) by using ground based X-band scatterometer data. The both networks are trained and tested with X-band scatterometer data. The performance of the GRNN and RBFNN networks are found that the radial basis approach is more suitable for crop variable estimation in comparison to the GRNN approach. This work presents the applicability of neural network as an estimator and method employed could be useful to estimate the crop variables of other crops.  相似文献   
26.
Yarsagumba (Ophiocordyceps sinensis), an endemic species to the Himalayas and Tibetan Plateau, is one of the most valuable medicinal mushrooms in the world. In Nepal, it is distributed largely in isolated patches of alpine grasslands of 3,000-5,000 m elevation. Although it is reported from 27 northernmost districts of Nepal, the local distribution pattern of this species is largely unknown. Furthermore, the collection system and local management regime of this species are not well documented. We conducted a field survey at Dhorpatan Hunting Reserve (DHR) among the different stakeholders in January-June 2012 to assess collection sites, patterns and trends and to understand the management regime. We estimated that about 75 kg of Yarsagumba is collected every year from DHR and the amount has been declining since 2008. To manage the resource, locals have initiated regulating the collection by issuing permits, taxing to the collectors, and monitoring the activities of harvesters with the help of park authorities. The revenue generated at local level from the permits has been used for community developmental activities.  相似文献   
27.
This study analyzed information gathered from 200 date palm households in the mountainous Panjgur District of Balochistan in Pakistan with the aim of determining date farmers' access to and satisfaction with agricultural extension services. Information was collected through a structured questionnaire survey, group discussions and semi- structured personal interviews. The findings of the analysis revealed very poor access to extension services. The results of logistic regression analysis identified five variables out of six which significantly influence date farmers' access to extension services: household bead's age, household bead's literacy, number of date palm trees owned, mostly inherited date palm trees, and percentage of dead date palm trees. The overwhelming majority of farmers were dissatisfied with all three main types of extension services being provided by public extension officials. Explanations for this as well as for associations between access to extension services and the six independent variables are provided. Important policy conclusions are drawn based on the findings.  相似文献   
28.
塔里木西克尔基性麻粒岩捕虏体的发现及其地质意义   总被引:2,自引:1,他引:1  
在塔里木西部新生代碧玄岩中新发现了基性麻粒岩捕虏体。其原生矿物组合为Cpx+Opx+Pl (An=30~50)+Sp+Ilm+Tim,次生矿物组合为Ol+Pl (An>50)+alkaline feldspar+glass。原生矿物组合的温度和压力分别为1005~1059℃ 和 0.6~1.1GPa; 次生矿物组合形成于近等温减压过程和固相线上熔融以及之后的近地表快速冷却。这些麻粒岩捕虏体代表了早期底侵到塔里木板块下地壳的幔源岩浆。  相似文献   
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