不同植被恢复模式对黄土丘陵区侵蚀土壤微生物量的影响
Effect of Different Vegetation Restoration Models on Soil Microbial Biomass in Eroded Hilly Loess Plateau
查看参考文献31篇
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文摘
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为了解侵蚀环境下植被恢复对土壤微生物量的影响,以典型侵蚀环境黄土丘陵区纸坊沟流域生态恢复30年植被长期定位试验点为研究对象,选取坡耕地为参照,分析了植被恢复过程中土壤微生物量、呼吸强度、代谢熵及理化性质的演变特征。结果表明,侵蚀环境下植被恢复后土壤微生物量碳、氮、磷显著增加,增幅分别为109.01%～144.22%、34.17%～117.09%和31.79%～79.94%,微生物呼吸强度增加26.78%～87.59%,代谢熵降低57.45%～77.49%,微生物量的增大和活性增强进一步促进了土壤性状的改善。相关性分析结果显示微生物量碳、磷、呼吸强度与土壤养分相关性极为密切,显然,土壤微生物量可以作为评价土壤质量的生物学指标。不同植被恢复模式对土壤质量改善作用不同,总体来说混交林作用效果最好,刺槐和柠条纯林次之,荒草地和油松纯林较差,在人工促进生态恢复过程中应持以混交林为主,纯林为辅的原则。 |
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其他语种文摘
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Vegetations recovery is a key measure to improve eco-environments in the Chinese Loess Plateau.In order to find the effect of soil microbial biomass under different vegetation restoration in this region,six long trial sites located in Zhifanggou Catchment were studied.The results showed that soil microbial biomass,microbial respiration and physiochemical properties increased apparently.After 30 years of de-farming and vegetation recovery,soil microbial biomass C,N,P(SMBC,SMBN,SMBP)and microbial respiration,respectively,increased by 109.01%-144.22%,34.17%-117.09%,31.79%-79.94% and 26.78%-87.59% as compared to the farmland.However metabolic quotient declined dramatically with a percentage decrease of 57.45%-77.49%.Different types of vegetation restoration are differentin improving soil properties.In general,mixed stands of P.tabulaeformis-Amorpha fruticosa and R.pseudoacacia-A.fruticosa had the most remarkable effect,followed by Robinia pseudoacacia and Caragana korshinkii,while fallow land and Pinus tabulaeformis was the smallest.Construction of mixed forest is more effective than that of pure forest in restoring vegetations on the eroded hilly Loess Plateau.The significant relationships were observed between SMBC,SMBP,microbial respiration and physiochemical properties of soil.We think that microbial biomass can be used as indicators of soil quality.
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来源
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自然资源学报
,2007,22(1):20-27 【核心库】
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关键词
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侵蚀环境
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植被恢复
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微生物量
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土壤质量
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地址
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中国科学院水利部水土保持研究所西北农林科技大学, 陕西, 杨凌, 712100
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语种
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中文 |
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文献类型
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研究性论文 |
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ISSN
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1000-3037 |
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学科
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农业基础科学 |
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基金
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国家自然科学基金
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国家973计划
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中国科学院重大项目
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文献收藏号
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CSCD:2957508
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