Shallow groundwater inhibits soil respiration and favors carbon uptake in a wet alpine meadow ecosystem

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Highlights

Abstract

Wet alpine meadows generally act as a significant carbon sink, since their low rate of soil decomposition determines a much smaller ecosystem respiration (Re) than photosynthesis. However, it remains unclear whether the low soil decomposition rate is determined by low temperatures or by nearly-saturated soil moisture. We explored this issue by using five years of measurements from two eddy-covariance sites with low temperature and significantly different soil water conditions. The results showed that both sites were carbon sinks. However, despite a smaller annual gross primary productivity, the wet site with a shallow groundwater showed a much higher carbon use efficiency and larger carbon sink than the dry site (which had a deeper water table) due to its much lower Re. Our analyses showed that Re of the wet site was significantly decreased under the nearly-saturated soil condition during the unfrozen seasons. This effect of nearly-saturated soil water on Re increased with soil depths. In contrast, at the dry site the high soil water content favored Re. The corresponding soil temperature at both sites expectedly showed large and positive effects on Re. These results demonstrated that the high carbon sink of the wet alpine meadow was mainly caused by the inhibiting effects of the nearly-saturated soil condition on soil respiration rather than by the low temperatures. Therefore, we argue that a warming-induced shrinking cryosphere may affect the carbon dynamics of wet and cold ecosystems through changes in soil hydrology and its impact on soil respiration. In addition, our study highlights the different responses of soil respiration to warming across soil depths. The thawing of frozen soil may cause larger CO2 emission in the top soil, while it may also partially contribute to slowing down soil carbon decomposition in the deep soil through decreasing metabolic activity of aerobic organisms.

Introduction

Alpine meadows are sensitive to climate change and human activities due to their extremely cold and fragile environment (Marcolla et al., 2011; Hu et al., 2016; Knowles et al., 2015; Piao et al., 2012). These ecosystems generally act as a carbon sink, since the low soil respiratory (SR) determines a much smaller ecosystem respiration (Re) than photosynthesis (Li et al., 2019; Marchin et al., 2018; Scholz et al., 2018; Wang et al., 2017). The low SR of the ecosystems is usually considered to be primarily determined by the low temperature (Saito et al., 2009). Thus, the carbon sink of the ecosystems is expected to be reduced and potentially turns into a carbon source, due to the large increases in SR carbon losses in response to future warming (Ganjurjav et al., 2018; Sun et al., 2019). According to the soil hydrologic condition, alpine meadows can be divided into wet alpine meadows and dry alpine meadows. Wet alpine meadows are saturated with water during much of the growing seasons, mostly exist a seasonally shallow water table level (WTL), and may be flooded soon after snowmelt. Dry alpine meadows may experience intermittent flooding, but are well-drained and have a deeper WTL than wet alpine meadows (Halsey, 2017; Rocchio, 2006). Except for the direct impacts of warming, the soil carbon dynamics of wet alpine meadows may be also significantly affected by the changing soil hydrologic conditions induced by climate warming and human activities (Zhang et al., 2018; Lv et al., 2020), like the situations occurred in several cold and wet ecosystems such as Arctic tundra, northern peatlands, mires, and bogs (Ise et al., 2008; McVeigh et al., 2014; Drollinger et al., 2019; Korkiakoski et al., 2019). However, the mechanisms of the soil hydrological conditions, such as the shallow WTL, on affecting carbon exchanges in wet alpine meadows are poorly understood. To maintain the carbon sink capacity of the ecosystems and predict their potential changes in response to future warming, it is critical to better understand this eco-hydrological coupling process.

A shallow WTL can largely affect carbon exchanges of cold and wet ecosystems by controlling oxygen diffusion, enzyme dynamics, and osmoregulation in the soil (Moyano et al., 2013; Yan et al., 2018). For example, in northern peatlands a shallow WTL reduced the decomposition rate of soil organic carbon (Bubier et al., 2003; Korkiakoski et al., 2019), and thus resulted in a high sensitivity of peat decomposition to climate change through WTL feedbacks (Ise et al., 2008; Luan et al., 2018). The changing soil water content from melting permafrost largely affects permafrost carbon dynamics (Walvoord & Kurylyk, 2016). For tundra ecosystem, an increase in WTL can strongly lower SR by reducing soil oxygen availability and thus decreases Re; a decreased WTL increases both gross primary productivity (GPP) and Re, while it negatively affects the ecosystem's carbon uptake because the increases in Re are greater than that in photosynthesis (Olivas et al., 2010). In addition, both measurements and model simulations demonstrated that the net ecosystem exchange (NEE) of several mire and bog ecosystems is controlled by the interactions between WTL and temperature (Yurova et al., 2007; McVeigh et al., 2014).

The Tibetan Plateau (TP) is the highest plateau in the world, with an average elevation of 4000 m above sea level and an area covering about 2.5 × 106 km2 (Yang et al., 2014). It is known as the “Asian Water Tower” because of its large water storage (Immerzeel et al., 2010). The alpine meadows and grassland are the dominant ecosystem over the TP, covering more than 50% of the whole TP (Liu et al., 2010; Gao et al., 2013). Wet alpine meadows often occur in upstream watersheds as well as adjacent areas, valley bottoms, lakes, and rivers on the TP (Brierley et al., 2015). The TP has been experiencing significantly warming during recent decades (Gao et al., 2015; Guo et al., 2019). The groundwater level in the wet regions on the TP is usually shallow and is significantly changing with climate warming (Wu et al., 2013). Indeed, both a warming climate and increasing anthropogenic activities have caused significant changes in carbon exchanges of the alpine meadows over the TP (Piao et al., 2012). Many studies have investigated the relationships between carbon exchanges and environmental factors of the alpine meadows (Chen et al., 2015; Hu et al., 2016; Fu et al., 2018; Ganjurjav et al., 2018; Liu et al., 2018a; Zhang et al., 2018; Lv et al., 2020; Yu et al., 2020). These studies mainly focused on the effects of temperature, precipitation, soil moisture (SM), soil temperature (ST), and grazing on NEE, GPP, and Re, but the effects of shallow WTL were rarely considered. As several previous studies demonstrated that the nearly-saturated soil water in cold regions such as Arctic tundra (Olivas et al., 2010) and boreal peatland (Korkiakoski et al., 2019) can decrease the metabolic activity of aerobic organisms and thus negatively affect SR. Based on these knowledges, we hypothesize that the high carbon use efficiency (CUE, defined as the ratio of net ecosystem productivity to GPP) and large carbon sink of the wet alpine meadows on the TP is determined by the inhibiting effects of the shallow WTL on SR (which further on Re) rather than by the low temperature. To test this hypothesis, we analyzed five years of measurements from two sites in the northeastern TP with low temperature and significantly different soil water conditions.

Section snippets

Study area and eddy covariance site information

The study area is located at the upper reach of the Heihe River basin, northeast TP, China (Fig. 1a). The area is characterized by a tundra climate (Kottek et al., 2006), with a MAT of 2 °C and a mean annual precipitation (MAP) of 350 mm (Sun et al., 2019). The elevation in the area ranges from 1637 to 5706 m above sea level. Most of the area is covered by alpine meadows and shrubs (Fig. 1a & b). The study area serves as the main contributing area for the runoff of the Heihe River watershed due

Climate and hydrometeorological characteristics

The daily mean air temperature was obviously higher at Arou than that at Dashalong across the years (Fig. 2). The MATs were 0.3 °C and -3.7 °C for Arou and Dashalong, respectively. The precipitation at the two sites mainly occurred during the growing seasons. The MAPs of Arou and Dashalong were 458.7 mm and 363.0 mm, respectively. The daily mean wind speed of Dashalong was slightly larger than that of Arou during the frozen seasons, while they were comparable during the unfrozen seasons. The

Impacts of shallow groundwater on carbon exchange of wet alpine meadows

Both low temperature and high soil water content could be responsible for the low Re in cold and wet ecosystems (Moyano et al., 2013; Drollinger et al., 2019). In this study, we found that Re of a wet alpine meadow on the TP was significantly decreased under nearly-saturated soil condition during the unfrozen seasons. In contrast, this situation was not observed for a dry alpine meadow on the TP. As expected, Re significantly increased with ST for both the wet and dry alpine meadows. These

Conclusion

We explored how environmental factors determined the high CUE and large carbon sink of a cold and wet alpine meadow on the TP, by comparing continuous measurements from two EC sites with low temperature and different soil water conditions. The results showed that although it had a lower annual GPP, the site with a shallow WTL had a high CUE and a large carbon sink due to the very low Re. The site without a shallow WTL had a high annual GPP, while its CUE and carbon sink were relatively low

Declaration of Competing Interest

The authors declare no conflict of interest.

Acknowledgments

The EC and meteorological datasets were provided by “Heihe Plan Science Data Center, National Natural Science Foundation of China” (http://www.heihedata.org). The authors thank all the people who contributed to the EC and meteorological observations. This work was supported by the research grants from the National Key R & D Program of China (2017YFC0503904 & 2018YFA0606001), the National Natural Science Foundation of China (41801061), and the Peiyang Young Scholar Program (2020XRG-0066). P. G.

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