Temporal processes of soil water status in a sugarcane field under residue management

被引:54
作者
Awe, G. O. [1 ]
Reichert, J. M. [1 ]
Timm, L. C. [2 ]
Wendroth, O. O. [3 ]
机构
[1] Univ Fed Santa Maria, Dept Soil Sci, Ctr Rural Sci, BR-97105900 Santa Maria, RS, Brazil
[2] Fed Univ Pelotas UFPel, Dept Rural Engn, BR-96001970 Pelotas, RS, Brazil
[3] Univ Kentucky, Dept Plant & Soil Sci, Agr Sci Ctr, Lexington, KY 40546 USA
关键词
Soil water storage; Soil-atmospheric variables; Residue management; Classical regression; State-time analysis; SPATIAL VARIABILITY; SPACE APPROACH; BULK-DENSITY; MOISTURE; STABILITY; STORAGE; PROFILES; PATTERNS; EVALUATE; SLOPE;
D O I
10.1007/s11104-014-2304-5
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
The knowledge of soil water storage is vital for rational agricultural management, and in soil-plant-water relations. This study was conducted to evaluate the temporal processes of soil water status of a sugarcane field under residue management during the 2011/2012 and 2012/2013 growing seasons in southern Brazil. Soil water storage (SWS) and matric potential (I) were monitored in the 0-10 and 10-20 and 40-60 cm layers using time domain reflectometer sensors and tensiometers while precipitation (P) and potential crop evapotranspiration (ET) were obtained using rainguage and daily weather data. There was significant temporal variation of soil water status with soil depths. SWS was lower while matric potential was higher in no mulch treatment than in mulched treatment in both growing seasons. SWS cross-correlated with other variables, however, results were not the same for the different soil depths and treatments. Classical regression of SWS from combinations of log (I), ET and P gave satisfactory results, however state-time analysis was better with higher R-2 values and incorporated errors. State-time analysis, combined with state-space could be a useful tool for good predictions of soil water status. Residue mulching influenced soil water status, thus proved to be a sustainable soil management practice.
引用
收藏
页码:395 / 411
页数:17
相关论文
共 47 条
[1]   STOCHASTIC SOIL-MOISTURE ESTIMATION AND FORECASTING FOR IRRIGATED FIELDS [J].
ABOITIZ, M ;
LABADIE, JW ;
HEERMANN, DF .
WATER RESOURCES RESEARCH, 1986, 22 (02) :180-190
[2]  
Allen R. G., 1998, FAO Irrigation and Drainage Paper
[3]  
[Anonymous], CLIMATE CHANGE AGR R
[4]  
[Anonymous], J BALKAN ECOL
[5]   Soil structure and organic carbon relationships following 10 years of wheat straw management in no-till [J].
Blanco-Canqui, Humberto ;
Lal, R. .
SOIL & TILLAGE RESEARCH, 2007, 95 (1-2) :240-254
[6]   Soil moisture variability of root zone profiles within SMEX02 remote sensing footprints [J].
Choi, Minha ;
Jacobs, Jennifer M. .
ADVANCES IN WATER RESOURCES, 2007, 30 (04) :883-896
[7]  
Coelho M. A. O., 1998, Revista Brasileira de Ciencia do Solo, V22, P555, DOI 10.1590/S0100-06831998000300022
[8]   State-space approach to evaluate spatial variability of field measured soil water status along a line transect in a volcanic-vesuvian soil [J].
Comegna, A. ;
Coppola, A. ;
Comegna, V. ;
Severino, G. ;
Sommella, A. ;
Vitale, C. D. .
HYDROLOGY AND EARTH SYSTEM SCIENCES, 2010, 14 (12) :2455-2463
[9]  
Dourado-Neto D., 1999, Scientia Agricola, V56, P1215
[10]   Carbon budget study using CO2 flux measurements from a no till system in central Ohio [J].
Duiker, SW ;
Lal, R .
SOIL & TILLAGE RESEARCH, 2000, 54 (1-2) :21-30