Uncertainty in predicting the spatial pattern of soil water temporal stability at the hillslope scale

Uncertainty in predicting the spatial pattern of soil water temporal stability at the hillslope scale
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山坡尺度土壤水时间稳定性空间格局预测的不确定性

DOI:
10.1071/sr15059
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发表时间:
2016-09
期刊:
影响因子:
1.6
通讯作者:
Zhu Q.
Zhu Q.
中科院分区:
农林科学4区
文献类型:
--
作者:
Liao K.;Lai X.;Lv L.;Zhu Q.

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土壤水分的时空稳定性受空间变异的影响,从而影响对坡面平均土壤水分状况的预测。然而,土壤水分时间稳定性的空间格局的估计和量化的不确定性与预测往往被忽视。本研究于2013年1月至2014年4月对茶园和森林坡地10 cm和30 cm深度土壤水分进行了17个时段的监测。利用普通克里格法对这17个时期的土壤湿度图进行插值,然后对土壤湿度相对差异的空间分布进行评估。在此基础上,计算了土壤水分相对差的标准差(SDRD),以表征土壤水分时间稳定性的空间变化。分别采用Bootstrap和序贯高斯模拟技术研究了由于用于计算SDRD(U1)和用于普通克里格空间插值(U2)的采样天数有限而导致的SDRD预测模式的不一致性。结果表明,林地坡地土壤水分含量的空间变异性普遍强于茶园坡地。在山坡尺度上,SDRD在空间上变化很大。不同土地利用方式下,30cm土层土壤水分的时间稳定性显著(P<0.05)强于10cm土层。但两种土地利用方式的土壤水分时间稳定性差异不显著。此外,在两个山坡上,U2通常比U1更重要。这表明应该开发更多的采样点和更稳健的插值方法,而不是额外的采样日,以降低研究山坡上SDRD预测的不确定性。
Soil water temporal stability is subject to spatial variation, which influences the prediction of mean soil water status on a hillslope. However, estimation of the spatial pattern of soil water temporal stability and quantification of the uncertainties associated with the predictions are often ignored. In this study, volumetric soil water contents at 10 and 30cm depths on tea garden and forest hillslopes were monitored across 17 dates from January 2013 to April 2014. Soil moisture maps on these 17 dates were interpolated using ordinary kriging and then the spatial distribution of the relative difference of soil moisture was assessed. Based on these maps, standard deviations of relative difference (SDRD) of soil moisture were calculated to represent the spatial variation of soil water temporal stability. Uncertainties in predicted patterns of SDRD due to the limited number of sampling days used for calculating SDRD (U1) and for spatial interpolation of soil moisture by ordinary kriging (U2) were investigated using bootstrap and sequential Gaussian simulation techniques respectively. Results showed that soil water content on the forest hillslope generally exhibited stronger spatial variability than that on the tea garden hillslope. The SDRD substantially varied in space at the hillslope scale. Temporal stabilities of soil water content at 30cm depth were significantly (P<0.05) stronger than those at 10cm soil depth, regardless of the land use type. However, differences in soil water temporal stabilities on these two land use hillslopes were not significant. In addition, U2 was generally more important than U1 on both hillslopes. This suggests that additional sampling sites and more robust interpolation methods rather than additional sampling days should be developed to reduce SDRD prediction uncertainty on the study hillslopes.
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