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江苏省外生菌根真菌资源调查
作者姓名:LIAN Bin  DONG Yuan-Rong  HOU Wei-Guo  TONG Li-Hu  YUAN Sheng
作者单位:[1]Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Harbin 150081 (China) [2]Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016 (China) [3]Heilongjiang University, Harbin 150080 (China) [4]Department of Plant, Soil and Insect Sciences, University of Massachusetts, Amherst, MA 01003 (USA)
基金项目:国家重点基础研究发展计划(973计划);黑龙江省自然科学基金
摘    要:A total of 1400 soil samples from the plow layer (0-20 cm) at an approximate interval of 5 km were collected in the autumn of 2002 over the entire black soil arable crops region to determine the spatial variability of seven variables, such as total organic matter content (OMC), total N, total P, total K, alkali-dissolvable N (AN), available P (AP) and available K (AK), with classical statistics and geostatistical analysis across the entire black soil area in Northeast China. In nonsampled areas ordinary kriging was utilized for interpolation of estimated nutrient determinations. Classical statistics revealed highly significant (P ≤ 0.01) correlations with all seven of the soil properties, except for OMC with AP and total K with AK. In addition, using coefficients of variation, all soil properties, except for total K, were moderately variable. A geostatistical analysis indicated that structural factors, such as parent material, terrain, and water table, were the main causes of the spatial correlations. Strong spatial correlations were noted with OMC, total N, total P, AN, and AP, while they were moderate for total K and AK. The effective spatial autocorrelation of OMC, total N, total P, and AN ranged from 1 037 to 1353 km, whereas the ranges of total K, AP, and AK were only from 6 to 138 km. The fit of the experimental scmi-variograms to the theoretical models indicated that except for AN, kriging could successfully interpolate other six variables. Thns, the geostatistical method used on a large scale could accurately evaluate the spatial variability of most black soil nutrient properties in Northeast China.

关 键 词:空间变异性  土壤营养学  中国  东北地区
收稿时间:2006-06-10
修稿时间:2006-11-23

Ectomycorrhizal fungi in Jiangsu Province, China
LIAN Bin,DONG Yuan-Rong,HOU Wei-Guo,TONG Li-Hu,YUAN Sheng.Ectomycorrhizal fungi in Jiangsu Province, China[J].Pedosphere,2007,17(1):30-35.
Authors:LIAN Bin  DONG Yuan-Rong  HOU Wei-Guo  TONG Li-Hua and YUAN Sheng
Institution:Jiangsu Key Laboratory for Biodiversity and Biotechnology, College of Life Sciences, Nanjing Normal University, Nanjing 210097 (China). E-mail: bin2368@vip.163.com;State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang 550002 (China);Jiangsu Key Laboratory for Biodiversity and Biotechnology, College of Life Sciences, Nanjing Normal University, Nanjing 210097 (China). E-mail: bin2368@vip.163.com;Jiangsu Key Laboratory for Biodiversity and Biotechnology, College of Life Sciences, Nanjing Normal University, Nanjing 210097 (China). E-mail: bin2368@vip.163.com;Jiangsu Key Laboratory for Biodiversity and Biotechnology, College of Life Sciences, Nanjing Normal University, Nanjing 210097 (China). E-mail: bin2368@vip.163.com;Jiangsu Key Laboratory for Biodiversity and Biotechnology, College of Life Sciences, Nanjing Normal University, Nanjing 210097 (China). E-mail: bin2368@vip.163.com
Abstract:A survey was conducted for about 3 years to study the abundance and diversity of ectomycorrhizal fungi (EMF) in Jiangsu Province, China. The identification of the fungal species was based on the microscopic and macroscopic characteristics of their fruiting bodies. About 126 species of EMF were found in Jiangsu Province. These fungi were largely categorized into three orders (of 121 species), four families (of 96 species), and six genera (of about 86 species).
Keywords:black soil  China  geostatistics analysis  soil survey  spatial variability
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