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祁连山东段不同类型灌丛斑块土壤特征对围封的响应
引用本文:刘玉祯,曹文侠,王金兰,李文,辛雨琼,王世林,王小军.祁连山东段不同类型灌丛斑块土壤特征对围封的响应[J].草业学报,2019,28(11):32-45.
作者姓名:刘玉祯  曹文侠  王金兰  李文  辛雨琼  王世林  王小军
作者单位:甘肃农业大学草业学院,草业生态系统教育部重点实验室,中-美草地畜牧业可持续发展研究中心,甘肃 兰州 730070;甘肃农业大学草业学院,草业生态系统教育部重点实验室,中-美草地畜牧业可持续发展研究中心,甘肃 兰州 730070;甘肃农业大学草业学院,草业生态系统教育部重点实验室,中-美草地畜牧业可持续发展研究中心,甘肃 兰州 730070;甘肃农业大学草业学院,草业生态系统教育部重点实验室,中-美草地畜牧业可持续发展研究中心,甘肃 兰州 730070;甘肃农业大学草业学院,草业生态系统教育部重点实验室,中-美草地畜牧业可持续发展研究中心,甘肃 兰州 730070;甘肃农业大学草业学院,草业生态系统教育部重点实验室,中-美草地畜牧业可持续发展研究中心,甘肃 兰州 730070;甘肃农业大学草业学院,草业生态系统教育部重点实验室,中-美草地畜牧业可持续发展研究中心,甘肃 兰州 730070
基金项目:国家自然科学基金(31360569),现代农业产业技术体系(CARS-35)和青藏高原甘南州饲草生产与供给技术研究资助
摘    要:土壤作为高寒带植被的立地条件,是高寒灌丛生态系统发挥其生态功能的重要基础之一。本研究选取祁连山东段头花杜鹃、山生柳和金露梅3种典型灌丛斑块土壤作为研究对象,系统分析围封前后其理化性质分布特征。结果表明:土壤含水量、有机碳、全磷、全钾、速效氮5个理化指标在灌下、灌外差异显著;土壤含水量、容重、有机碳、全磷、速效氮、速效磷6个理化指标在围栏内外差异显著。主成分分析进一步表明,围栏内速效氮与孔隙度的贡献率较高,表明围封后速效氮与孔隙度是影响祁连山东段3种灌丛斑块土壤理化性质的重要环境因子;围栏外速效氮与全磷的贡献率较高,表明有放牧干扰时速效氮与全磷是影响祁连山东段3种灌丛斑块土壤理化性质的重要环境因子。头花杜鹃灌丛斑块不论是否受到放牧干扰,均能保持其良好的土壤理化性质,表明头花杜鹃灌丛斑块抗外界干扰能力较强。短期围封能够显著增加灌丛斑块土壤含水量和速效养分含量,从而改善立地条件,也进一步证明围封更加有利于退化灌丛草地的恢复与重建。

关 键 词:祁连山东段  灌丛斑块  土壤理化性质  相关性分析  主成分分析
收稿时间:2019-07-17

Response of soil characteristics of different types of shrub patches to enclosure on eastern Qilian Mountain
LIU Yu-zhen,CAO Wen-xia,WANG Jin-lan,LI Wen,XIN Yu-qiong,WANG Shi-lin,WANG Xiao-jun.Response of soil characteristics of different types of shrub patches to enclosure on eastern Qilian Mountain[J].Acta Prataculturae Sinica,2019,28(11):32-45.
Authors:LIU Yu-zhen  CAO Wen-xia  WANG Jin-lan  LI Wen  XIN Yu-qiong  WANG Shi-lin  WANG Xiao-jun
Institution:College of Grassland Science, Gansu Agricultural University, Grassland Ecosystem Key Laboratory of Ministry of Education, Sino-U.S. Research Centers for Sustainable Grassland and Livestock Management, Lanzhou 730070, China
Abstract:Soil is one of the basic functional components of the alpine shrub ecosystem. This study aimed to provide scientific guidance for the restoration of the degraded alpine shrub ecosystem. A typical area of the alpine shrub ecosystem on eastern Qilian Mountain with and without enclosures was selected as the sampling site. We selected three typical shrubs (Rhododendron capitatum, Salix oritrepha, Potentilla fruticosa) for detailed analyses of their soil properties. We measured 10 soil physico-chemical properties: total nitrogen (TN), total phosphorus (TP), total potassium (TK), available nitrogen (AN), available phosphorus (AP), available potassium (AK), soil organic carbon (SOC), soil moisture (SM), bulk density (BD), and soil porosity (SP). We analyzed the relationships among soil physico-chemical properties of different distributed community types using various field and experimental methods and statistical analyses including one-way ANOVA, the Tukey-Kramer HSD test, and principal component analysis (PCA) across inside and outside enclosures. We also compared soils from under shrubs and outside the shrub canopy in this ecosystem. It was found that SM, SOC, TP, TK, and AN differed significantly between samples collected under shrubs and outside the shrub canopy, and SM, BD, SOC, TP, AN, and AP differed significantly between inside and outside enclosures. The PCA indicated that AN and SP contributed more to vegetation distribution than did other environmental factors in the fenced plots, and were important predictors of the distribution of different shrubs and plants inside fenced areas on eastern Qilian Mountain. The PCA also indicated that AN and TK contributed more than did the other environmental factors in the grazed plots, and were important predictors of the distribution of different shrubs and plants in grazed grassland on eastern Qilian Mountain. R. capitatum patches always had better soil physical and chemical properties, indicating that this plant has a strong anti-interference ability. The results of these analyses show that short-term enclosure can significantly increase the SM content and available nutrient content in soil in shrub patches, further confirming that fencing is the best way to restore degraded alpine shrub ecosystem.
Keywords:Eastern Qilian Mountain  different types of shrub patches  soil physic-chemical properties  correlation analysis  principal component analysis  
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