Temporal variability of soil water storage evaluated for a coffee field
文献类型:SCI/SSCI论文
作者 | Timm L. C. ; Dourado-Neto D. ; Bacchi O. O. S. ; Hu W. ; Bortolotto R. P. ; Silva A. L. ; Bruno I. P. ; Reichardt K. |
发表日期 | 2011 |
关键词 | multiple regression neutron probe sampling number state-space state-time moisture |
英文摘要 | Sampling field soils to estimate soil water content and soil water storage (S) is difficult due to the spatial variability of these variables, which demands a large number of sampling points. Also, the methodology employed in most cases is invasive and destructive, so that sampling in the same positions at different times is impossible. However, neutron moderation, time domain reflectrometry, and, more recently, frequency domain reflectrometry methodologies allow measurements at the same points over long time intervals. This study evaluates a set of neutron probe data, collected at 15 positions placed randomly along a coffee crop contour line, over 2 years at 14-day intervals. The temporal stability of S was again demonstrated, so that wetter or dryer locations remain so over time, and the definition of such positions in the field reduces the number of sampling points in future S evaluations under similar conditions. An analysis was made to determine the minimum number of sampling points to obtain the average S of the field within a chosen level of significance. Classical statistical analysis indicated that the 15 measurement positions could be reduced to four or even to one position to obtain a reliable field S average. State-time analysis showed S estimations depend more on previous measurements of rainfall P (52%) than on evapotranspiration ET (28%) and S (20%). The analysis also showed that ET was not realistically estimated from previous measurements of S; it was more dependent on previous measurements of ET (59%) than on P (30%) and S (9%). This statistical procedure showed great advantages over classical multiple regressions. Future studies of this type should be carried out at regularly spaced observation points in a grid, in order to allow a 2-D and 3-D state-space-time analysis. |
出处 | Soil Research |
卷 | 49 |
期 | 1 |
页 | 77-86 |
收录类别 | SCI |
语种 | 英语 |
ISSN号 | 1838-675X |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/22970] ![]() |
专题 | 地理科学与资源研究所_历年回溯文献 |
推荐引用方式 GB/T 7714 | Timm L. C.,Dourado-Neto D.,Bacchi O. O. S.,et al. Temporal variability of soil water storage evaluated for a coffee field. 2011. |
入库方式: OAI收割
来源:地理科学与资源研究所
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