Transference of Robinia pseudoacacia water-use patterns from deep to shallow soil layers during the transition period between the dry and rainy seasons in a water-limited region

Zhao, Yali; Wang, Yunqiang; He, Meina; Tong, Y.; Zhou, Junxia; Guo, Xiangyu; Liu, Jinzhao; Zhang, Xingchang

doi:10.1016/j.foreco.2019.117727

Cited by 45 publications

(25 citation statements)

References 57 publications

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“…For example, the main limiting factor of Populus tomentosa in the North China Plain with sufficient soil moisture is surface soil moisture above 30 cm [15]. Nevertheless, research on the Loess Plateau in China found that Robinia pseudoacacia mainly used deep soil moisture to maintain its normal physiological activities under drought conditions [74]. In this study, the main water sources for T were 0-40 cm soil layers.…”

Section: Contribution Of Soil Moisture In Different Soil Layers To Tmentioning

confidence: 66%

Assessing the Impact of Soil Moisture on Canopy Transpiration Using a Modified Jarvis-Stewart Model

Guo

Liu

et al. 2021

Water

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In dryland regions, soil moisture is an important limiting factor for canopy transpiration (T). Thus, clarifying the impact of soil moisture on T is critical for comprehensive forest—water management and sustainable development. In this study, T, meteorological factors (reference evapotranspiration, ETref), soil moisture (relative soil water content, RSWC), and leaf area index (LAI) in a Larix principis-rupprechtii plantation of Liupan Mountains in the dryland region of Northwest China were simultaneously monitored during the growing seasons in 2017–2019. A modified Jarvis—Stewart model was established by introducing the impact of RSWC in different soil layers (0–20, 20–40, and 40–60 cm, respectively) to quantify the independent contribution of RSWC of different soil layers to T. Results showed that with rising ETref, T firstly increased and then decreased, and with rising RSWC and LAI, T firstly increased and then gradually stabilised, respectively. The modified Jarvis—Stewart model was able to give comparable estimates of T to those derived from sap flow measurements. The contribution of RSWC to T in different soil layers has obvious specificity, and the contribution rate of 20–40 cm (13.4%) and 0–20 cm soil layers (6.6%) where roots are mainly distributed is significantly higher than that of 40–60 cm soil layer (1.9%). As the soil moisture status changes from moist (RSWC0–60cm ≥ 0.4) to drought (RSWC0–60cm < 0.4), the role of the soil moisture in the 0–20 cm soil layer increased compared with other layers. The impacts of soil moisture that were coupled into the Jarvis—Stewart model can genuinely reflect the environmental influence and can be used to quantify the contributions of soil moisture to T. Thus, it has the potential to become a new tool to guide the protection and management of forest water resources.

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Section: Contribution Of Soil Moisture In Different Soil Layers To Tmentioning

confidence: 66%

Assessing the Impact of Soil Moisture on Canopy Transpiration Using a Modified Jarvis-Stewart Model

Guo

Liu

et al. 2021

Water

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“…The vegetation effect is prominent in the soil layer of 0-20 cm and 40-60 cm. This phenomenon might be related to the root distribution depth of the herbaceous plants and the black locust (Chang et al 2016;Zhao et al 2020). The effects and effect depth of the precipitation, air temperature, and slope on the soil water content of the black locust forest are stronger than that of the grassland.…”

Section: Effect Analysis Of Environmental Factors On the Soil Watermentioning

confidence: 99%

“…The 0-20 cm soil layer is the main distribution and water use layer of herbage roots (Chang et al 2016), while one of the root main distribution layer is situated at the depth of 40-60 cm in the black locust forest (Zhao et al 2020). Therefore, vegetation has a stronger effect to soil water in those two layers (Table 4).…”

Section: Response Of Soil Water To Different Impact Factorsmentioning

confidence: 99%

“…Compared to the black locust forest, it produces more surface runoff and interflow in the grassland (Gu 2019), moreover, more conducive to the formation of surface water in the watershed. Meanwhile, in gully slope, there is higher deep soil water on the grassland, than that on the black locust forest (Zhao et al 2019(Zhao et al , 2020, indicating that more soil water could convert into groundwater. According to our previous research, the groundwater recharge ratio by soil water of the grassland is about 0.52% higher than that of the black locust forest (Ma et al 2020).…”

Section: Implications On the Water Conservation In The Watershedmentioning

confidence: 99%

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Influences of revegetation mode on soil water dynamic in gully slope of the Chinese Loess hilly–gully region

2020

Nat Hazards

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Gully slope is one of the most active areas of soil erosion in small watershed of the Chinese Loess hilly-gully region. Although its soil erosion has been effectively controlled with the implementation of the "Grain-for-Green Program" in this region, the soil water storage and distribution have been also impacted. In particular, unreasonable revegetation model has aggravated the water shortage, which may in turn threaten the health of ecosystems.However, yet little is known about the effect mechanism of vegetation on soil water in the gully slope. In this study, we examined the relationship between two revegetation modes, including afforestation (i.e. black locust forest) and natural revegetation (i.e. the grassland), and soil water in a depth of 0-120 cm of the gully slope, during the rainy season. The results showed that the effect of the vegetation to the soil water was smaller than that of the precipitation. Furthermore, the response of soil water to the environmental factors was higher in afforestation vegetation due to its lower soil water content, resulting in higher space dependence for soil water, compared to the natural revegetation. The lower soil water content of the black locust forest was mainly caused by its higher recession rate, not its supply. The soil water was deficient for a long time, caused by afforestation, with a shallower formation depth of the dried soil layer and stronger desiccation degree. However, this deficient could not be effectively relieved until in wet year. In comparison with the ridge slope, the effect of vegetation to soil water in gully slope was stronger, with greater water consumption in afforestation vegetation and the higher water storage in natural revegetation. From the aspect of water resources conservation on the water scale, the natural revegetation was the optimal revegetation mode in the gully slope of the loess hilly region.

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“…More specifically, soil water isotopes are determined by a mixture of individual precipitation events with distinct isotopic signals and are also affected by evaporation, both of which lead to the development of isotopic gradients in soil water with depth (Allison et al, 1983;Liu et al, 2015). A number of studies have shown that the δ 18 O and δ 2 H values of root/xylem water can be used to characterize the water sources used by plants (Rothfuss and Javaux, 2017;Wu et al, 2018;Wang et al, 2019;Amin et al, 2020;Zhao et al, 2020;Liu et al, 2021a). These studies rested substantially on the assumption that no isotopic fractionation of δ 18 O and δ 2 H values occurs during water uptake by plant roots (Dawson and Ehleringer, 1991;Chen et al, 2020), except in saline or xeric environments (Lin and Sternberg, 1993;Ellsworth and Williams, 2007).…”

Section: Introductionmentioning

confidence: 99%

Controls on leaf water hydrogen and oxygen isotopes: A local investigation across seasons and altitude

Liu

Chong

et al. 2022

Preprint

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Abstract. The stable oxygen (δ18Oleaf) and hydrogen (δ2Hleaf) isotopes of leaf water act as a bridge that connects hydroclimate to plant-derived organic matter. However, it remains unclear whether the source water (i.e., twig water, soil water, and precipitation) or meteorological parameters (i.e., temperature, relative humidity, and precipitation) are the dominant controls on δ18Oleaf and δ2Hleaf. Here, we reported seasonal analysis of δ18Oleaf and δ2Hleaf together with isotopes from potential source waters and meteorological parameters along an elevation transect on the Chinese Loess Plateau. We found that δ2Hleaf values were more closely correlated with source water isotopes than δ18Oleaf values, whereas δ18Oleaf and δ2Hleaf values were similarly correlated with meteorological parameters. Dual-isotope analysis showed that the δ18Oleaf and δ2Hleaf values were closely correlated because of their similar altitudinal and seasonal responses, and so generated a well-defined isotope line relative to the local meteoric water line (LMWL). We also compared the measured δ18Oleaf and δ2Hleaf values with predicted values by the Craig-Gordon model, and found no significant differences between them. We demonstrate that the first-order control on δ18Oleaf and δ2Hleaf values was the source water, and the second-order control was the enrichment associated with biochemical and environmental factors.

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Transference of Robinia pseudoacacia water-use patterns from deep to shallow soil layers during the transition period between the dry and rainy seasons in a water-limited region

Cited by 45 publications

References 57 publications

Assessing the Impact of Soil Moisture on Canopy Transpiration Using a Modified Jarvis-Stewart Model

Assessing the Impact of Soil Moisture on Canopy Transpiration Using a Modified Jarvis-Stewart Model

Influences of revegetation mode on soil water dynamic in gully slope of the Chinese Loess hilly–gully region

Controls on leaf water hydrogen and oxygen isotopes: A local investigation across seasons and altitude

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