An investigation was carried out in the semi- desert region of northern Sudan, during 2000, to study the influence of different micrometeorological parameters on growth and yield of sesame under alley cropping system....An investigation was carried out in the semi- desert region of northern Sudan, during 2000, to study the influence of different micrometeorological parameters on growth and yield of sesame under alley cropping system. Sesame, cv. Kenana-2, was grown in 6-m wide alleys formed by 3 year old Acacia ampliceps and Acacia stenophylla. Air temperature, relative humidity, wind speed, solar energy and shade behaviour were measured throughout the growing season. Irrigation was measured by water meter and soil moisture by gravimetric sampling at depths of 15, 30, 45 and 60 cm, in alley cropping and control plots. Sesame was evaluated for growth and yield performance in southern, central and northern parts of each alley. The results showed substantial reduction in wind runs, solar radiation and air temperature, while relative humidity was increased under alley conditions. Soil moisture content, especially in the upper 045 cm soil depth, was much higher in alley cropped plots than in the control plots. A. stenophylla resulted in the highest saving of irrigation water and considerably increased （40%） sesame seed yield. In contrast, sesame seed yield was reduced by 46% under A. ampliceps-alley cropping. Competition for light and water were highly responsible for variation in sesame seed yield in the different zones of the alley. A. stenophylla tree is, therefore, recommended in an alley cropping system in the semi-desert region of northern Sudan for its superiority in optimizing radiation and saving of irrigation water.展开更多
The impact of vegetation coverage on erosion and sediment yield in the Loess Plateau has been extensively studied,but the research has been primarily based on observations from slope runoff plots or secondary forest r...The impact of vegetation coverage on erosion and sediment yield in the Loess Plateau has been extensively studied,but the research has been primarily based on observations from slope runoff plots or secondary forest regions;the scaling method remains unresolved when it is applied at a large spatial scale,and it is difficult to apply to regions with severe soil and water loss given the predominance of herbs and shrubs.To date,there is little data on the quantitative impact of changes to vegetation on sediment concentration at a large spatial scale.This paper is based on vegetation information from remote sensing images,measured rainfall and sediment data over nearly 60 years,and results from previous runoff and sediment variation research on the Yellow River.We introduce the concepts of a sediment yield coefficient and the percentage of effective vegetation and erodible area,analyze the impact of different vegetation conditions on the flood sediment concentration and sediment yield,and evaluate the effect of rainfall intensity on sediment yield under different vegetation conditions at the watershed scale.We propose models to evaluate the impact of vegetation on sediment yield in the loess gully hilly region,which are based on remote sensing data and support an application at a large spatial scale.The models can be used to assess sediment reduction that results from the current significant improvement of vegetation in the Loess Plateau.展开更多
文摘An investigation was carried out in the semi- desert region of northern Sudan, during 2000, to study the influence of different micrometeorological parameters on growth and yield of sesame under alley cropping system. Sesame, cv. Kenana-2, was grown in 6-m wide alleys formed by 3 year old Acacia ampliceps and Acacia stenophylla. Air temperature, relative humidity, wind speed, solar energy and shade behaviour were measured throughout the growing season. Irrigation was measured by water meter and soil moisture by gravimetric sampling at depths of 15, 30, 45 and 60 cm, in alley cropping and control plots. Sesame was evaluated for growth and yield performance in southern, central and northern parts of each alley. The results showed substantial reduction in wind runs, solar radiation and air temperature, while relative humidity was increased under alley conditions. Soil moisture content, especially in the upper 045 cm soil depth, was much higher in alley cropped plots than in the control plots. A. stenophylla resulted in the highest saving of irrigation water and considerably increased （40%） sesame seed yield. In contrast, sesame seed yield was reduced by 46% under A. ampliceps-alley cropping. Competition for light and water were highly responsible for variation in sesame seed yield in the different zones of the alley. A. stenophylla tree is, therefore, recommended in an alley cropping system in the semi-desert region of northern Sudan for its superiority in optimizing radiation and saving of irrigation water.
基金supported by National Basic Research Program of China(2007CB407207)The National Key Technology R&D Program of China(2007BAC15B01)+1 种基金National Natural Science Foundation(Project No.40971236 and No.30901163)the Vilas Associate Award and the Hammel Faculty Fellow Award from the University of Wisconsin-Madison,and Innovation Grant from the State Key Laboratory of Resources and Environmental Information Systems
基金supported by the National Key Technology R&D Program in the 12th Five-year Plan of China(Grant No.2012BAB02B05)National Natural Science Foundation of China(Grant No.41301030)
文摘The impact of vegetation coverage on erosion and sediment yield in the Loess Plateau has been extensively studied,but the research has been primarily based on observations from slope runoff plots or secondary forest regions;the scaling method remains unresolved when it is applied at a large spatial scale,and it is difficult to apply to regions with severe soil and water loss given the predominance of herbs and shrubs.To date,there is little data on the quantitative impact of changes to vegetation on sediment concentration at a large spatial scale.This paper is based on vegetation information from remote sensing images,measured rainfall and sediment data over nearly 60 years,and results from previous runoff and sediment variation research on the Yellow River.We introduce the concepts of a sediment yield coefficient and the percentage of effective vegetation and erodible area,analyze the impact of different vegetation conditions on the flood sediment concentration and sediment yield,and evaluate the effect of rainfall intensity on sediment yield under different vegetation conditions at the watershed scale.We propose models to evaluate the impact of vegetation on sediment yield in the loess gully hilly region,which are based on remote sensing data and support an application at a large spatial scale.The models can be used to assess sediment reduction that results from the current significant improvement of vegetation in the Loess Plateau.
