Research paperDetermining deep root water uptake patterns with tree age in the Chinese loess area
Introduction
In the terrestrial ecosystem, vegetation plays important roles in the hydrological cycle, transpiring incident precipitation (Schlesinger and Jasechko, 2014), and altering surface and subsurface water flow patterns (Bond et al., 2002, Huang et al., 2003). In the past decades, a series of revegetation projects were conducted in China, contributing 25% of the global greening during that period (Chen et al., 2019). The “Green for Green” project, which was implanted on the CLP in 1999, is the largest of these projects. Although this project has made pronounced progress increasing vegetation coverage, the revegetated trees have also altered the water cycle, and disrupted the water balance that existed between soil and plants prior to revegetation (Feng et al., 2016, Zhang et al., 2018).
Apple trees have been commonly used as an economical revegetation strategy, where the conversion from cropland to apple orchards not only increase the income of local farmers, but also reduces soil water erosion of the loess hills and existing gullies (Chen et al., 2015, Gao et al., 2018a). Many studies have been conducted to assess the changes in soil water following afforestation (Jia et al., 2017, Wang et al., 2011, Yan et al., 2015). Notably, recent studies (Li et al., 2018a, Li et al., 2019) revealed the connection between deep soil depletion and rooting depth and presented a conceptual model for the interaction between rooting depth and deep soil water depletion: under limited precipitation (150–800 mm year−1), trees growing in a deep unsaturated zone, develop root networks progressively deeper in order to access water in deeper soil. However, little focus has been placed on understanding how changes in deep soil water and rooting depth will impact RWU over the lifetime and over different precipitation years. This is important for understanding how the soil water balance is affected by land use change and afforestation over the long term, which is critical, but poorly understood for assessing the sustainability of afforestation.
RWU patterns have been identified among various vegetation types (Wang et al., 2019, Wu et al., 2016), as well as in mixed-species settings where heterospecifics compete for water (Tang et al., 2018, West et al., 2007). Previous studies with isotopes method found that plants may shift their RWU patterns under different precipitation conditions, and the patterns can be species-dependent (Liu et al., 2019b, Nie et al., 2019). However, few RWU studies have included trees of varying ages located in a variety of different soil water conditions over a multi-year scale.
RWU patterns have been assessed by measurements of water potential (Cook and O'Grady, 2006, Nehemy et al., 2020), root distribution (Song et al., 2020), and/or chemical or isotopic tracers (Wang et al., 2017, Zhang et al., 2017). Water isotopes in particular, have been widely used to trace the movement of water from the soil to the plant xylem (Rothfuss and Javaux, 2017). A critical assumption in the application of water stable isotopes (2H, 18O) is that no isotope fractionation occurs when plants transport water from the soil to the xylem. This assumption has been convincingly verified recently with a variety of plants (Chen et al., 2020). Furthermore, water isotopes can be used to quantify and partition RWU with respect to both space (shallow soil, deep soil, groundwater, etc.) (Evaristo and McDonnell, 2017, Rossatto et al., 2012) and time (winter precipitation, summer precipitation, etc.) (Allen et al., 2019, Zhang et al., 2017). Relative to neutron probe method (Wang and Wang, 2018, Wang et al., 2015), the advantage of isotopes based method is that they can capture the seasonal water use pattern accurately associated with deep-rooted plants.
Although roots are commonly found at depths of more than 20 m on the CLP (Li et al., 2018a, Yan et al., 2015), the depths of isotopic investigation of most studies are far less than the maximum rooting depth, and are often as shallow as 3 m or less (Gao et al., 2018b, Huo et al., 2018, Tang et al., 2018, Wang et al., 2019, Wang et al., 2017). For example, recent studies concerned with RWU on the Loess Plateau identified rooting depths of 2 m for Jujube trees (Huo et al., 2018), 3 m for Hippophae rhamnoides and Spiraea pubescens (Wang et al., 2019), and 5 m for Robinia pseudoacacia (Zhao et al., 2019). However, the apple trees in this study have much greater rooting depths to the depth of 23.2 m in the old orchard (Li et al., 2018b). Therefore, in the case of apple trees, shallow investigation depths will likely result in an incomplete understanding of the contributions of deep soil water to RWU. Furthermore, as apple trees on the CLP age, their fine roots shift from an exponential distribution to a more uniform distribution with depth, thus increasing the proportion of fine roots located in deep soils (Li et al., 2018b). Whether fine-root water uptake in deep soil influences RWU pattern remains unclear. However, a small quantity of RWU in each deep soil layer certainly has the potential to increase the amount of water available for transpiration.
The objective of this study is to quantify the extent to which afforested apple trees may rely on deep soil water for RWU with the increasing rooting depth in a water-limited area. A Bayesian mixing model (MixSIAR) coupled with dual isotopes was used to determine the seasonal RWU proportion and the contributions of shallow and deep soil water to the transpiration of apple trees of varying age, under varying rooting depth and precipitation. The results of this study are projected to improve our understanding of the water use and drought mitigation strategies of trees facing deep soil water deficits.
Section snippets
Study area
The study site is located on flat land with an average elevation of 1200 m a.s.l. This land is located in the southeastern portion of the CLP, in Changwu County, Shaanxi Province (39°14′N, 107°41′E) (Fig. 1). This region has a sub-humid continental climate, with a long-term (1957−2015) mean annual temperature of 9.4 °C. The mean annual precipitation is 571 mm, of which 55% occurs between July and September. Long-term mean potential evapotranspiration has been estimated as 891 mm year−1 using
Water isotope characteristics of precipitation, soil water, and xylem water
Precipitation in 2017, 2018, and 2019 during the growing season (from April to October) were 496.0 mm, 541.0 mm, and 734.9 mm, respectively (Fig. 3a−c). This indicated a wet year in 2019, and normal years in 2017 and 2018 based on the long-term historical average value (514.5 mm).
The isotopic compositions of precipitation events varied greatly during the growing season, with δ2H ranged from +69.3‰ to −137.8‰, and δ18O from +16.6‰ to −19.1‰ (Fig. 3a−c). Generally, precipitations were enriched in
RUW patterns for apple trees
Compared with deep soil, the shallow 0–2 m soil layer can be influenced more by the climate and tree water use, they can be depleted by evaporation and transpiration and then replenished by subsequent precipitation events. This is facilitated by the synchronous occurrence of high temperature and relatively frequent precipitation events in the monsoon climate. As a result, there is a high frequency of wet-dry cycles. In addition, the monsoon climate is characterized mostly by small precipitation
Conclusion
Large scale afforestation on the CLP greatly contributes to global greening, but the RWU pattern with soil desiccation evolution requires further evaluation for these woody trees. This study suggests that the afforestation of apple trees on the CLP significantly depleted soil water in deep strata, exacerbating deep soil desiccation with tree age. The resulting water shortage at root zone stimulates the fine roots to dig into deeper soil as much as more than 20 m. Thus, deep soil below 5 m depth
Declaration of Competing Interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Acknowledgments
This research was funded by the National Natural Science Foundation of China (NSFC), grant numbers 41630860 and 41877017 and Natural Science and Engineering Research Council of Canada (NSERC). For her assistance in performing sample measurements, we thank Jingjing Jin, lab manager from the Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University. We also extend our appreciation to Huijie Li and Keyu Liu for their
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