基于小波变换的土壤有机碳与其影响因子多尺度相关分析
Multi-scale correlation analysis of soil organic carbon with its influence factors using wavelet transform
查看参考文献24篇
|
文摘
|
基于GIS,采用小波变换和相关分析方法,以广东山区表层(0~20 cm)土壤有机碳密度及其影响因子(包括归一化植被指数NDVI、海拔、坡度和坡向)作为分析对象,选取4条样带,使用一维离散小波变换对分析对象进行多尺度分解,在栅格尺度上定量分析土壤有机碳密度与其影响因子相关关系的多尺度响应特征.结果表明: 研究区土壤有机碳密度与其影响因子具有不同程度的尺度相关性.NDVI在2、8和16 km尺度、海拔在8和16 km尺度下的控制作用最强;坡度的控制作用极弱,尺度相关性不显著;坡向在大于2 km尺度表现为随尺度增加而增大的负相关作用.不同样带的土壤有机碳密度受不同影响因子的制约,NDVI和海拔是影响广东山区土壤有机碳密度分布的主要因子,坡度和坡向仅在个别样带、较大尺度上起作用. |
|
其他语种文摘
|
Based on GIS, this paper chose the soil organic carbon (SOC) density in soil surface layer (0-20 cm) and its influence factors (NDVI, elevation, slope and aspect) as research objects, one-dimensional discrete wavelet transform (DWT) was used as the multi-scale decomposition tool to quantitatively revealed the multi-scale correlation relationships among SOC density and its influence factors on the grid scale along 4 transects of the mountainous area of Guangdong Pro-vince. The results showed that the correlation among SOC density and its influence factors was scale-dependent with varying degree. The influence of NDVI was strongest at the scales of 2, 8 and 16 km, while elevation showed its greatest influence at the scales of 8 and 16 km. The control action of slope was rather weak, with a less significant correlation depending on scale. The negative effect of aspect became stronger with increasing scale at >2 km scale. The SOC density of the different transects was affected by various factors, of which NDVI and elevation were the main factors, and slope and aspect only reacted with individual transects at larger scales. |
|
来源
|
应用生态学报
,2013,24(12):3415-3422 【核心库】
|
|
关键词
|
土壤有机碳
;
小波变换
;
尺度相关
;
偏相关系数
;
广东山区
|
|
地址
|
1.
广州大学地理科学学院, 广州, 510006
2.
华南农业大学信息学院, 广州, 510642
3.
广东省生态环境与土壤研究所, 广州, 510650
|
|
语种
|
中文 |
|
文献类型
|
研究性论文 |
|
ISSN
|
1001-9332 |
|
学科
|
农业基础科学 |
|
基金
|
国家自然科学基金项目
;
国家“十二五”科技支撑计划项目
|
|
文献收藏号
|
CSCD:5019552
|
参考文献 共
24
共2页
|
|
1.
周莉. 土壤有机碳的主导影响因子及其研究进展.
地球科学进展,2005,20(1):99-105
|
被引
252
次
|
|
|
|
|
2.
郭旭东. 基于GIS和地统计学的土壤养分空间变异特征研究：以河北省遵化市为例.
应用生态学报,2000,11(4):557-563
|
被引
273
次
|
|
|
|
|
3.
区美美. 土壤空间变异研究进展.
土壤,2003,35(1):30-33
|
被引
31
次
|
|
|
|
|
4.
雷咏雯. 不同尺度下土壤养分空间变异特征的研究.
土壤,2004,36(4):376-381
|
被引
62
次
|
|
|
|
|
5.
许信旺.
Regional Distribution and Variation of SOC Storage in Agricultural Soils at Different Scales. PhD Thesis,2008
|
被引
1
次
|
|
|
|
|
6.
Biswas A. Application of continuous wavelet transform in examining soil spatial variation: A review.
Mathematical Geosciences,2011,43:379-396
|
被引
9
次
|
|
|
|
|
7.
舒乔生. 土壤水力特性的空间尺度效应研究进展.
土壤,2010,42(4):513-518
|
被引
4
次
|
|
|
|
|
8.
李双成. 基于小波变换的NDVI与地形因子多尺度空间相关分析.
生态学报,2006,26(12):4198-4203
|
被引
34
次
|
|
|
|
|
9.
李小梅.
Research on the Spatial Scale of Eco-environment Based on Wavelet Transform. PhD Thesis,2008
|
被引
1
次
|
|
|
|
|
10.
李小梅. 基于小波变换的NDVI区域特征尺度.
生态学报,2010,30(11):2864-2873
|
被引
11
次
|
|
|
|
|
11.
Si B C. Scale-dependent relationship between wheat yield and topographic indices: A wavelet approach.
Soil Science Society of America Journal,2004,68:577-587
|
被引
7
次
|
|
|
|
|
12.
Si B C. Spatial scaling analyses of soil physical properties: A review of spectral and wavelet methods.
Vadose Zone Journal,2008,7:547-562
|
被引
11
次
|
|
|
|
|
13.
Shu Q S. Characterizing scale-and location--development correlation of water retention parameters with soil physical properties using wavelet techniques.
Journal of Environmental Quality,2008,37:2284-2292
|
被引
7
次
|
|
|
|
|
14.
广东省土壤调查办公室.
Guangdong Soil,1993
|
被引
1
次
|
|
|
|
|
15.
广东省土壤普查办公室.
Guangdong Soil Species,1996
|
被引
1
次
|
|
|
|
|
16.
文雅. Pattern and characteristics of soil organic carbon density in mountain area of Guangdong Province, China.
应用基础与工程科学学报,2010,18(suppl):10-18
|
被引
11
次
|
|
|
|
|
17.
姜春. 广东山区土壤有机碳空间变异的尺度效应.
生态学报,2013,33(16):5118-5125
|
被引
6
次
|
|
|
|
|
18.
张明锋. A multi-scale analysis on the structure of integrated ecological information tupu based on the wavelet transform.
亚热带资源与环境学报,2007,2(1):21-27
|
被引
2
次
|
|
|
|
|
19.
Carl G. Analyzing spatial ecological data using linear regression and wavelet analysis.
Stochastic Environmental Research and Risk Assessment,2008,22:315-324
|
被引
2
次
|
|
|
|
|
20.
严丽坤. Application of correlation coefficient and biased correlation coefficient in related analysis.
云南财贸学院学报,2003,19(3):78-80
|
被引
37
次
|
|
|
|
|
了解气象卫星更多信息，请访问