摘要
以吉林汪清林业局金沟岭林场中41块天然云冷杉针阔混交林样地为对象,采用主成分-聚类分析,结合GIS技术,对该区域土壤肥力质量进行综合评价。结果表明,按主成分-聚类分析结果将41块样地分为4类:第1类土壤肥力质量综合得分为11.17~18.86(优),包括5块样地;第2类土壤肥力质量综合得分为3.01~7.44(良),包括8块样地;第3类土壤肥力质量综合得分为-6.97~1.27(一般),包括24块样地;第4类土壤肥力质量综合得分为-12.40^-9.63(差),包括4块样地。然后采用Arc GIS软件对综合得分进行普通Kriging插值,其标准均方根预测为0.9544,在1的附近,这基本达到插值精度的要求。从生成的研究区土壤肥力质量综合得分空间分布图来看,森林土壤肥力质量由西向东呈现先降低后升高的趋势;由北向南,森林土壤肥力质量变化幅度逐步减小,表明研究区南部土壤肥力质量变化较北部均匀。就研究区的整体土壤肥力质量而言,土壤肥力质量中等以上(优,良,一般)样地数占所研究区样地总数比例为90.24%,表明所研究区森林土壤肥力质量整体处于良好水平。
Forty-one plots of natural spruce-fir mixed broadleaf-conifer forests were selected for soil fertility quality assessment using principal component cluster analysis method and GIS in Jinggouling forest farm, Wangqing Forestry Bureau, Jilin Province. The results showed that 41 plots were classified into 4 classes： the score for the first class was 11.17 - 18.86 （excellent）, including 5 plots; the score for the second class was 3.01 - 7.44 （good）, including 8 plots; the score for the third class was -6.97 - 1.27 （fair）, including 24 plots; and the score for the fourth class was -12.40 spatial distribution map of soil fertility quality in the region. Soil fertility quality decreased first and then increased from the west to east, whereas its change range gradually decreased from the north to south, indicating more uniform variation of soil fertility quality in the south than in the north. The Root-Mean-Square Standardized was 0.9544 （in the vicinity of 1） and satisfied the interpolation accuracy. The soil fertility quality of the study area was in good condition with 90.24% of the plots falling into excellent, good and fair classes.
出处
《土壤通报》
CAS
CSCD
北大核心
2016年第5期1223-1230,共8页
Chinese Journal of Soil Science
基金
林业公益性行业科研专项(201504303)资助
关键词
土壤肥力
主成分-聚类分析
空间异质性
Soil fertility quality
Principal component cluster analysis
Spatial heterogeneity
