| 低丘红壤地区土壤养分分布状况及施肥策略研究 |
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| 引用本文： | 祝锦霞,许红卫,王珂,高玉蓉.低丘红壤地区土壤养分分布状况及施肥策略研究[J].科技通报,2008,24(6). |
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| 作者姓名： | 祝锦霞 许红卫 王珂 高玉蓉 |
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| 作者单位： | 浙江大学,农业遥感与信息技术应用研究所,杭州,310029 |
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| 基金项目： | 国家自然科学基金
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浙江省围垦局
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| 摘 要： | 以浙江省金华市为例,应用GIS技术,结合相关的土地利用现状图,高程、坡度、坡向图,选择金华市低丘红壤地区代表性的土壤,对土壤有机质、有效N、有效K的分布状况进行研究。结果表明:在有机质含量的分布上,耕地>林地>园地,水稻土>红壤>紫色土>粗骨土;在低缓区域,随着海拔的升高而升高,在陡坡区域,随着海拔的升高而降低;在相同的海拔范围内,缓坡>陡坡,阴坡>阳坡。土壤有效N水平的趋势和有机质大体一致。土壤有效K的分布状况为:耕地>园地>林地;红壤>水稻土>粗骨土。此外,本文还对影响土壤养分分布的驱动力进行了初步的研究,通过对不同的四个驱动因子(土壤养分属性自身的特点、不同土壤质地、土壤类型、不同的土地利用现状、不同的高程、坡度、坡向地形因子)分析,得到金华市低丘红壤地区土壤养分分布的规律,结合研究区的土壤养分现状,总结出合理、有效的施肥策略,有利于改善现有的土壤养分状况,促进作物高产、稳产、优质。
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| 关 键 词： | 低丘红壤 土壤养分分布状况 GIS、驱动因子力 |
Study of Fertilization Management and Soil Nutrient Status in the Red Soil Hilly Region |
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| ZHU Jinxia,XU Hongwei,WANG Ke,GAO Yurong.Study of Fertilization Management and Soil Nutrient Status in the Red Soil Hilly Region[J].Bulletin of Science and Technology,2008,24(6). |
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| Authors: | ZHU Jinxia XU Hongwei WANG Ke GAO Yurong |
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| Abstract: | The distribution of soil organic matter, N, and K in the red soil hilly region was studied based on GIS technology, combined with Digital Elevation Model(DEM), slope and aspect in Jinhua city, Zhejiang Province. The statistic results showed that the content of organic matter was raked as cultivated land>woodland>garden, and paddy soil>red soil> purple soil> skel soil. The spatial distribution of organic matter showed that its content increased with altitude in gentle slope area, while decreased with altitude in steep slopes. Compared with areas at the same elevation, the content of organic matter in gentle slope area was higher than that in steep slope area, and the content in shadow slope was higher than that in sunny slope. The spatially distributed effective N was similar with that of organic matter. Effective K was distributed in the order of cultivated land> garden >woodland. Moreover, the driving force about soil nutrient was also studied and suggested some strategys for fertilization and it would improve the status of soil and advance the yield of crops in future. |
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| Keywords: | GIS |
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