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1、ssrg8N*吴玉红 田霄鸿* * 同延安 南雄雄 周 密 侯永辉(西北农林科技大学资源环境学院, 陕西杨凌 712100)K 1 以杨凌为研究区域,选择田块尺度为评价单元,采集 27个田块土壤,利用模糊数学中综合指数评价模型进行土壤肥力质量评价b经取样数合理性统计分析, 27个样点估计研究区域土壤肥力评价能够满足 90%置信水平条件下 15%和 20%的相对误差取样数的精度需求b运用主成分分析,通过计算变量的 Norm值筛选速效钾a碳酸钙a全磷a全氮a土壤有机质aCECa速效磷a全钾进入土壤肥力评价的最小数据库集(MDS),利用非线性隶属度函数实现评价指标量纲归一化且评价单项肥力指标,利用雷
2、达图直观地反映单因素肥力指标在土壤中的状态以及土壤肥力的整体状况,结果表明,全磷和碳酸钙是影响研究区土壤肥力的限制性因子b研究区域在田块评价尺度上的土壤肥力综合指数范围为 017 018b1oM 主成分分析; 最小数据库; 隶属度函数; 土壤肥力综合指数ms| S158. 2 DSM A cI| 1000- 4890( 2010)1- 0173- 08Assessmentof integrated soil fertility index based on principal components analysis. WUYu-hong, TIAN Xiao-hong, TONG Yan-an
3、, NAN Xiong-xiong, ZHOU M,i HOU Yong-hui(College of Resource and Environment, Northw estA&F University, Yangling 712100, Shaanxi,China). Chinese Journal of Ecology, 2010, 29(1): 173- 180.Abstract: Taking theYangling of Shaanxi as a case and selecting field plot scale as the assess-ment uni,t the far
4、mland soil fertility qualitywas evaluated by using integrated fertility index. Ac-cording to the statisticalanalysis for sample number rationality, the regional soil fertility assess-ment based on 27 sampling siteswere sufficient tomeet the required accuracy of15% and 20%relative errorunder90% confi
5、dence leve.l Theminimum data set components including soil or-ganicmatter, total nitrogen, total phosphorus, total potassium, available phosphorus, availablepotassium, CEC, and calcium carbonatewere selected through calculating theNorm values basedon principal components analysis, and the non-linear
6、membership function was used to transformthe indicators into dimensionless data and to evaluate single indicator. The radarplotwas used toreflect the single factor fertility and the integral fertility. Itwas shown that totalphosphorus andcalcium carbonatewere the limiting factors for the soil fertil
7、ity quality in the study area, and theintegrated fertility index at field plot scalewas 017-018.Key words: principal components analysis ( PCA); minimum data set (MDS); membershipfunction; integrated soil fertility index.*SE/EB0S/9( 2006BAD05B07a2007BAD89B16a2006BAD25B09)b* *YTE-mai:l txhong hotmai.
8、l coml: 2009-06-09 s: 2009-09-09rJ3$,rz13i,rgrb-yY,rg/t,yN,rgMSZ4Nr#zrp,9MS=(fi, 2003;W( 2006)4PqK,ONTrgy0,10:aaaKararKapHaCECaaaryYT,OyWviM1,VyVaay0Nr1ob7,rNNSG(W,2008;M asto et al. , 2008),7VvVr3SBd9ZE,4B4bvV,ssE(PCA)rNKrKr CEC pH,Msv,rB1p9M9F,bMsKv,|9Kb27baS?90%Hq/15%20%M|p;?95%15%20%M|p(V2),yN,2
9、7rgNV9u8rgb212 rgNKlo#rgN,VvVrgrrgSFKlo(MDS)bS|rSrgN1Z,S|HEV1 rd9Tab. 1 Descriptive statistics of soilpropertiesr)KlKv(SMs(% )( g# kg- 1) 11117 9130 20146 13177 2158 18172( g# kg- 1) 2179 0184 3163 2103 0190 44125( g# kg- 1) 0155 0111 0166 0135 0116 44124r(mg# kg- 1 ) 64106 16154 80160 40138 9140 23
10、129K( g# kg- 1) 17137 15166 33103 24146 2171 11110rK(mg# kg- 1 ) 326164 86162 413126 163195 72137 44114CEC( com# kg- 1 ) 8177 17172 26149 21136 2104 9153pH 0165 7188 8153 8132 0121 2147(% ) 8129 4140 12169 8195 2118 24141b(mg# kg- 1 ) 15125 1195 17120 7182 4142 56158(mg# kg- 1 ) 20162 6147 27109 181
11、15 8141 46132V2 S=r|sTab. 2 Adequate sampling amountwithin the errorr95%M5%M10%M15%M20%90%M5%M10%M15%M20%r59 15 7 4 41 10 5 3332 83 37 21 229 57 25 14353 88 39 22 243 61 27 15r92 23 10 6 63 16 7 4K21 5 2 1 14 4 2 1rK329 82 37 21 227 57 25 14CEC 15 4 2 1 11 3 1 1pH 1 1 1 1 1 1 1 1100 25 11 6 69 17 8 4b540 135 60 34 372 93 41 23363 91 40 23 250 62 28 16175:ssrg8NMS,Var8,7|aararKsTZTYv,O?Qrg!sS8rg(dV,2007)bu=,y5
