The variability in soil water storage on the loess hillslopes in China and its estimation

Mei, Xuemei; Ma, Lei; Zhu, Qing; Bai, Li; Dong, Zhibao; Liu, Huifang; QiaNing, Zhang; Gou, Qianqian; Shen, Mi

doi:10.1016/j.catena.2018.09.045

Cited by 18 publications

(14 citation statements)

References 37 publications

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“…The CV value of the observed yield variability between each soil type corresponds to values reported between 5 % and 27 % by Joernsgaard and Halmoe (2003) and Wallor et al (2018). The yield of winter wheat (7.8 t ha −1 ; see Table S4) for the soil from BL at BL agreed well with observations on yields from a long-term fertilization experiment at the BL site (Merbach and Schulz, 2013), which demonstrates the high yield potential of the soil from BL.…”

Section: Crop Yield and Water Use Efficiencysupporting

confidence: 76%

“…Nevertheless, current knowledge of changes of the SWS are still limited mostly to the analysis of soil moisture observations related to restricted soil volumes and soil moisture ranges (Mei et al, 2019;Yost et al, 2019). As an alternative method, weighable lysimeters allow for the direct observation of the SWS by monitoring the temporal changes of the total soil mass in mostly cylindrical containers.…”

Section: Introductionmentioning

confidence: 99%

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Responses of soil water storage and crop water use efficiency to changing climatic conditions: a lysimeter-based space-for-time approach

Groh

Vanderborght²,

Pütz³

et al. 2020

Hydrol. Earth Syst. Sci.

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Abstract. Future crop production will be affected by climatic changes. In several regions, the projected changes in total rainfall and seasonal rainfall patterns will lead to lower soil water storage (SWS), which in turn affects crop water uptake, crop yield, water use efficiency (WUE), grain quality and groundwater recharge. Effects of climate change on those variables depend on the soil properties and were often estimated based on model simulations. The objective of this study was to investigate the response of key variables in four different soils and for two different climates in Germany with a different aridity index (AI): 1.09 for the wetter (range: 0.82 to 1.29) and 1.57 for the drier (range: 1.19 to 1.77) climate. This is done by using high-precision weighable lysimeters. According to a “space-for-time” (SFT) concept, intact soil monoliths that were moved to sites with contrasting climatic conditions have been monitored from April 2011 until December 2017. Evapotranspiration (ET) was lower for the same soil under the relatively drier climate, whereas crop yield was significantly higher, without affecting grain quality. Especially “non-productive” water losses (evapotranspiration out of the main growing period) were lower, which led to a more efficient crop water use in the drier climate. A characteristic decrease of the SWS for soils with a finer texture was observed after a longer drought period under a drier climate. The reduced SWS after the drought remained until the end of the observation period which demonstrates carry-over of drought from one growing season to another and the overall long-term effects of single drought events. In the relatively drier climate, water flow at the soil profile bottom showed a small net upward flux over the entire monitoring period as compared to downward fluxes (groundwater recharge) or drainage in the relatively wetter climate and larger recharge rates in the coarser- as compared to finer-textured soils. The large variability of recharge from year to year and the long-lasting effects of drought periods on the SWS imply that long-term monitoring of soil water balance components is necessary to obtain representative estimates. Results confirmed a more efficient crop water use under less-plant-available soil moisture conditions. Long-term effects of changing climatic conditions on the SWS and ecosystem productivity should be considered when trying to develop adaptation strategies in the agricultural sector.

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Section: Crop Yield and Water Use Efficiencysupporting

confidence: 76%

Section: Introductionmentioning

confidence: 99%

Responses of soil water storage and crop water use efficiency to changing climatic conditions: a lysimeter-based space-for-time approach

Groh

Vanderborght²,

Pütz³

et al. 2020

Hydrol. Earth Syst. Sci.

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show abstract

“…Soil moisture storage is calculated using the following formula (Mei et al 41 ). where Q i is the soil moisture storage (mm); θ i is the gravimetric soil moisture content (g/g); H is the thickness of soil layer (cm); ρ is the water density (1 g/cm 3 ), and BD i is the bulk density (g/cm 3 ); i represents the soil sequence, and n is the number of layers that were measured.…”

Section: Methodsmentioning

confidence: 99%

“…When calculating the soil water storage, the measured values above the depth of 1 m and the measured values below 1 m were used to calculate the soil bulk density at 1 m. The relevant studies showed that the soil bulk density barely changes under 1 m of the soil profile 40 . In addition, it is difficult to sample undisturbed soils below a depth of 1 m 41 .…”

Section: Methodsmentioning

confidence: 99%

Response of deep soil moisture to different vegetation types in the Loess Plateau of northern Shannxi, China

Gou

Zhu

2021

Sci Rep

Self Cite

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Deep soil moisture is a highly important source of water for vegetation in the semiarid Loess Plateau of China, vegetation restoration reduced the deep soil moisture, but how to better quantify the impact of vegetation restoration on deep soil moisture is lack of certain understanding. To explore the impact exerted by different types of vegetation on deep layers of the soil moisture, the 0–10 m soil moisture content profile was measured before and after the rainy season in Armeniaca sibirica, Robinia pseudoacacia, Populus simonii, Pinus tabuliformis, Hippophae rhamnoides and in natural grassland in Wuqi County in Shannxi Province. These results showed that the highest soil moisture in the shallow layers (0–200 cm) was exhibited in the P. simonii forest, which was followed by that in the natural grassland. Both of these results were significantly higher than that those of the A. sibirica, P. tabuliformis, H. rhamnoides and R. pseudoacacia forests. The soil moisture in the deep layer (200–1000 cm) of the natural grassland was significantly higher than that of the other vegetation types. The annual precipitation that recharges the depth of soil moisture was the highest in natural grassland and the lowest in P. simonii. The inter-annual soil moisture replenishment is primarily affected by rainfall and vegetation types. Compared with the natural grassland, the CSWSD (the comparison of the soil moisture storage deficit) of different vegetation types varies. In the shallow soil layer, P. simonii is the lowest, and R. pseudoacacia is the highest. In the deep soil layer, R. pseudoacacia and P. simonii are the highest; H. rhamnoides is the second highest, and A. sibirica and P. tabuliformis are the lowest. These results indicate that vegetation restoration can significantly reduce the amount of water in the deep layers of the soil. In the future vegetation restoration, we suggest emphasizing natural development more strongly, since it can better maintain the local vegetation stability and soil moisture balance.

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“…Nevertheless, current knowledge on changes of SWS are still limited mostly to the analysis of soil moisture observations related to restricted soil volumes and soil moisture ranges (Mei et al, 2019;Yost et al, 2019). As an alternative method, weighable lysimeters allow the direct observation of SWS by monitoring the temporal changes of the total soil mass in mostly cylindrical containers.…”

Section: Introductionmentioning

confidence: 99%

Responses of soil water storage and crop water use efficiency to changing climatic conditions: A lysimeter-based space-for-time approach

Groh¹,

Vanderborght²,

Pütz³

et al. 2019

Preprint

View full text Add to dashboard Cite

Abstract. Future crop production will be affected by climatic changes. In several regions, the projected changes in total rainfall and seasonal rainfall patterns will lead to lower soil water storage (SWS) which in turn affects crop water uptake, crop yield, water use efficiency, grain quality and groundwater recharge. Effects of climate change on those variables depend on the soil properties and were often estimated based on model simulations. The objective of this study was to investigate the response of key variables in four different soils and for two different climates in Germany with different aridity index: 1.09 for the wetter (range: 0.82 to 1.29) and 1.57 for the drier climate (range: 1.19 to 1.77), by using high-precision weighable lysimeters. According to a “space-for-time” concept, intact soil monoliths that were moved to sites with contrasting climatic conditions have been monitored from April 2011 until December 2018. Evapotranspiration was lower for the same soil under the relatively drier climate whereas crop yield was significantly higher, without affecting grain quality. Especially non-productive water losses (evapotranspiration out of the main growing period) were lower which led to a more efficient crop water use in the drier climate. A characteristic decrease of the SWS for soils with a finer texture was observed after a longer drought period under a drier climate. The reduced SWS after the drought remained until the end of the observation period which demonstrates carry-over of drought from one growing season to another and the overall long term effects of single drought events. In the relatively drier climate, water flow at the soil profile bottom showed a small net upward flux over the entire monitoring period as compared to downward fluxes (ground water recharge) or drainage in the relatively wetter climate and larger recharge rates in the coarser- as compared to finer-textured soils. The large variability of recharge from year to year and the long lasting effects of drought periods on SWS imply that long term monitoring of soil water balance components is necessary to obtain representative estimates. Results confirmed a more efficient crop water use under less optimal soil moisture conditions. Long-term effects of changing climatic conditions on the SWS and ecosystem productivity should be considered when trying to develop adaptation strategies in the agricultural sector.

show abstract

The variability in soil water storage on the loess hillslopes in China and its estimation

Cited by 18 publications

References 37 publications

Responses of soil water storage and crop water use efficiency to changing climatic conditions: a lysimeter-based space-for-time approach

Responses of soil water storage and crop water use efficiency to changing climatic conditions: a lysimeter-based space-for-time approach

Response of deep soil moisture to different vegetation types in the Loess Plateau of northern Shannxi, China

Responses of soil water storage and crop water use efficiency to changing climatic conditions: A lysimeter-based space-for-time approach

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