长期施肥下毛竹林土壤的肥力质量研究

发布时间：2018-05-22 08:40

本文选题：毛竹林 + 土壤肥力质量　；参考：《浙江林业科技》2016年04期

【摘要】：2014-2015年,在浙江省16个县(区/市)的毛竹(Phyllostachys heterocycla cv.pubescens)林地共采集1 141份土壤样品,分析p H值、有机质、速效钾、有效磷和铵态氮,并采用层次分析法,对其肥力质量进行综合评价。结果表明,浙江省毛竹林地土壤肥力质量总体上较好,占68.75%,其中常山和德清的土壤肥力质量最优,土壤肥力质量指数分别为1.013 5和1.093 6;土壤肥力质量处于中等及以下水平的占31.25%,龙泉、绍兴、龙游的土壤质量较差。相关分析显示,土壤的铵态氮与计算得到的土壤肥力质量综合指数呈现极显著的相关性(R=0.943,P0.01),另外,土壤有机质和速效钾含量与土壤肥力质量综合指数也呈极显著的正相关,其相关系数平方值分别达到了0.640(P0.01)和0.670(P0.01),表明氮元素、有机质和速效钾含量是衡量土壤肥力质量的重要指标。毛竹林地土壤p H在4.5~8.5,平均为4.84,土壤的酸化与林农偏施氮肥有一定的关系。
[Abstract]:In 2014-2015, 1,141 soil samples were collected from Phyllostachys heterocycla cv. Pubescens forest land in 16 counties (districts / cities) of Zhejiang Province. The pH value, organic matter, available potassium, available phosphorus and ammonium nitrogen were analyzed by analytic hierarchy process (AHP). A comprehensive evaluation of its fertility quality was carried out. The results showed that the soil fertility quality of Phyllostachys pubescens forest in Zhejiang Province was better on the whole, accounting for 68.75, and the soil fertility quality of Changshan and Deqing was the best. The soil fertility quality index was 1.013 5 and 1.093 6, respectively. The soil quality of Longquan, Shaoxing and Longyou was poor. Correlation analysis showed that there was a significant correlation between the soil ammonium nitrogen and the calculated soil fertility quality comprehensive index. In addition, there was a significant positive correlation between soil organic matter and available potassium content and the comprehensive index of soil fertility quality. The square values of correlation coefficient were 0.640 and 0.670, respectively, indicating that the contents of nitrogen, organic matter and available potassium were important indexes to evaluate the quality of soil fertility. The soil pH of Phyllostachys pubescens forest was 4.5 ~ 8.5, with an average of 4.84. The acidification of soil was related to the application of nitrogen fertilizer to forest farmers.
【作者单位】：浙江省林业科学研究院;浙江工业大学化学工程与材料学院;
【基金】：浙江省科技厅科研专项(2014F10002)
【分类号】：S714.8

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