نتایج جستجو برای: agricultural land use
تعداد نتایج: 1889356 فیلتر نتایج به سال:
Coastal aquatic ecosystems are increasingly affected by diffuse source nutrient water pollution from agricultural activities in coastal catchments, even though these ecosystems are important from a social, environmental and economic perspective. To warrant sustainable economic development of coastal regions, we need to balance marginal costs from coastal catchment water pollution abatement and ...
Several arthropods are known to be highly beneficial to agricultural production. Consequently it is of great relevance to study the importance of land management and land composition for the conservation of beneficial aphid-predator arthropod species in agricultural areas. Therefore our study focusing on the beneficial arthropod Bembidion lampros had two main purposes: I) identifying the physic...
ABSTRACT- Agricultural extension agents should provide dry land producers with appropriate education to make them more interested in learning about water use optimization. Therefore, it is recommended to accompany education with art. In this regard, a study, using the randomized experimental research design, was carried out among dry land grape producers in Herayjan village, Southwest Iran, usi...
Assessment of land use changes in the previous years and prediction of these changes in the following years is an essential tool for different planning and management of natural resources. Therefore, the aim of present study is modeling of land use changes in Mehran Plain using Markov- Cellular automata Model in 2028. In order to detect land use changes in the studied area, TM and ETM+ satellit...
An artificial neural network is a system based on the operation of biological neural networks, in other words, is an emulation of biological neural system. Artificial Neural Networks or simply Neural Networks are powerful general purpose computing tools. They have become popular in the analysis of remotely sensed data, particularly in classification or feature extraction from image data more ac...
Urban growth identification, quantification, and the knowledge of rate and trends of growth helps in determining the changes associated with land use and land cover properties and in regional planning with better infrastructure in environmentally sound way. Spatial and temporal technologies such as Remote Sensing, Geographic Information System (GIS) and Global Positioning System (GPS) are very ...
This study used an ECM to analyze the determinants of agricultural land expansion in Nigeria. Results show that at first differencing, Augmented Dickey Fuller test indicated stationarity for all the variables (p< 0.05) and there were 7 cointegrating vectors using Johansen test. The dynamic unrestricted short-run parameters of permanent cropland growth rates (68.62), agricultural production inde...
Future land cover will have a significant impact on climate and is strongly influenced by the extent of agricultural land use. Differing assumptions of crop yield increase and carbon pricing mitigation strategies affect projected expansion of agricultural land in future scenarios. In the representative concentration pathway 4.5 (RCP4.5) from phase 5 of the Coupled Model Intercomparison Project ...
This study spatially assesses, quantifies, and visualizes the agricultural expansion and land use intensification in the northwestern foothills of Mount Kenya over the last 30 years: processes triggered by population growth, and, more recently, by large-scale commercial investments. We made use of Google Earth Engine to access the USGS Landsat data archive and to generate cloud-free seasonal co...
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