| 注册
首页|期刊导航|土壤|苹果主产区土壤养分空间分布特征及其影响因素①--以陕西省礼泉县为例

苹果主产区土壤养分空间分布特征及其影响因素①--以陕西省礼泉县为例

张彬 杨联安 杨粉莉 王卫东 袁晓育 张林森 谢贤健 杨煜岑 杜挺

土壤2016,Vol.48Issue(4):777-784,8.
土壤2016,Vol.48Issue(4):777-784,8.DOI:10.13758/j.cnki.tr.2016.04.023

苹果主产区土壤养分空间分布特征及其影响因素①--以陕西省礼泉县为例

Spatial Distribution of Soil Nutrients and Their Influential Factors in Apple Production Area:A Case Study of Liquan County, Shaanxi Province

张彬 1杨联安 1杨粉莉 2王卫东 3袁晓育 3张林森 4谢贤健 5杨煜岑 1杜挺1

作者信息

  • 1. 西北大学城市与环境学院,西安 710127
  • 2. 咸阳市农业科学研究院,陕西咸阳 712000
  • 3. 礼泉县土壤肥料工作站,陕西咸阳 713200
  • 4. 西北农林科技大学园艺学院,陕西杨凌 712100
  • 5. 内江师范学院地理与资源科学学院,四川内江 641000
  • 折叠

摘要

Abstract

Theobjective and quantitative analysis of spatial heterogeneity of soil nutrients and their influential factors can provide scientific basis for precision fertilization. Apple production area at Liquan County, Shaanxi Province was selected as the research area, soil samples at 0–40 cm depth were collected by the “S” shape sampling method, the mapping accuracies of soil nutrients including organic matter, alkali hydrolysable N, available K and available P were studied by geostatistics and GIS. The optimal prediction models were determined by cross-validation and relative tolerance, and spatial distribution maps of soil nutrients were drawn, the spatial distribution characteristics of soil nutrients were comprehensively analyzed. Moreover, influential factors of soil nutrients and their weights were decided by Pearson correlation and multiple regression analysis. The results showed that: 1) Under the optimal variogram model, the interpolation accuracy of Cokriging were better to predicate organic matter, available K and available P compared by Ordinary Kriging, while, Ordinary Kriging was better to predicate alkali hydrolysable N. 2) Soil organic matter showed a decrease trend from Junma Town-Qiandong Town, Jianling and Zhaoling Town to the middle part area; the high value area of hydrolysable N was from Zhao Town to the east of Shide Town, decreasing toward the east, north and southwest respectively; the high value area of available K was located in the south of the studying area; The high value area of available P was located among Fenghuo and Junma Town, Shitan-Zhaoling Town. 3) Soil organic matter and terrain factors were significantly correlated. Alkali hydrolysable N was affected by NDVI, soil types and terrain factors. Available K content was significantly correlated with slope and aspect, however, no significant correlation was found for available P.

关键词

土壤养分/空间分布特征/影响因素/协同克里格/多元线性回归/礼泉县

Key words

Soil nutrients/Spatial distribution/Influencing factors/Cokriging/Multiple regression analysis/Liquan County

分类

农业科技

引用本文复制引用

张彬,杨联安,杨粉莉,王卫东,袁晓育,张林森,谢贤健,杨煜岑,杜挺..苹果主产区土壤养分空间分布特征及其影响因素①--以陕西省礼泉县为例[J].土壤,2016,48(4):777-784,8.

基金项目

教育部人文社会科学研究规划项目(10YJA910010),陕西省农业科技攻关项目(2011K02-11),农业部现代苹果产业技术体系肥水高效利用岗位基金项目(NYCYTX-08),西安市科技计划农业技术研发项目(NC150201;NC1402)和西北大学“211工程”研究生自主创新项目(YZZ15013;YZZ14013)资助。 (10YJA910010)

土壤

OA北大核心CSCDCSTPCD

0253-9829

访问量0
|
下载量0
段落导航相关论文