Sensitivity of the global carbonate weathering carbon-sink flux to climate and land-use changes

Zeng, Sibo; Liu, Zaihua; Kaufmann, Georg

doi:10.1038/s41467-019-13772-4

Cited by 94 publications

(71 citation statements)

References 46 publications

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“…The Shaliu River, with a length of 110 km and a catchment area of 1442 km 2 (Zhang et al, 2013) and a mean annual daily discharge of 7.5 m 3 s −1 from 2015 to 2016 (from Gangcha hydrological station), is the second largest river flowing into the Qinghai Lake on the northeastern edge of the Qinghai-Tibetan Plateau at an altitude of 3200-3800 m above sea level (Fig. 1a).…”

Section: Study Areamentioning

confidence: 99%

“…The Shaliu River is a small river in-tegrating headwater streams of orders of 1-3 on the Qinghai-Tibetan Plateau. It flows through a semiarid alpine region widely covered by seasonally frozen soils (Wang et al, 2018) and is relatively well protected from human activities (Zhang et al, 2013;Cheng et al, 2018). The Shaliu River basin is covered by grassland (∼ 71 %) dominated by Potentilla anserina Rosaceae, Elymus nutans Griseb and Deyeuxia arundinacea (Liu et al, 2018); bare land (16 %); and wetland (10 %; Cheng et al, 2018).…”

Section: Study Areamentioning

confidence: 99%

“…The Shaliu River basin is covered by grassland (∼ 71 %) dominated by Potentilla anserina Rosaceae, Elymus nutans Griseb and Deyeuxia arundinacea (Liu et al, 2018); bare land (16 %); and wetland (10 %; Cheng et al, 2018). The soils in the basin are mainly Gelic Cambisol (IUSS working group WRB, 2015) underlain by Triassic sandstone, late Cambrian metamorphic rocks (schist and gneiss), granites (Zhang et al, 2013) and a widespread distribution of late Paleozoic marine sedimentary rocks (Jin et al, 2009;Xiao et al, 2013), and the latter rocks contain abundant limestone rich in carbonates (Bissell and Chilingar, 1967). The Shaliu River basin is under a continental monsoon climate characterized by warm, humid summers and cold, dry winters (Wang et al, 2018).…”

Section: Study Areamentioning

confidence: 99%

“…In addition, this region has a continental monsoon climate and is hence significantly affected by intense precipitation in the summer monsoon (Zou et al, 2017). Hydrological alterations induced by both spring thawing and summer monsoon likely result in unique seasonal patterns in riverine carbon transport in the Qinghai-Tibetan streams compared to headwater streams in other regions including the Arctic or tropical rivers (Zhang et al, 2013). The exported carbon could originate from both recently fixed modern carbon from terrestrial plants and aged carbon preserved in frozen soils within this region (Song et al, 2020;Qu et al, 2017), which show different decomposition characteristics (Mann et al, 2015) and thus may influence regional carbon cycling.…”

Section: Introductionmentioning

confidence: 99%

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Spatial–temporal variations in riverine carbon strongly influenced by local hydrological events in an alpine catchment

et al. 2021

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Abstract. Headwater streams drain >70 % of global land areas but are poorly monitored compared with large rivers. The small size and low water buffering capacity of headwater streams may result in a high sensitivity to local hydrological alterations and different carbon transport patterns from large rivers. Furthermore, alpine headwater streams on the “Asian water tower”, i.e., Qinghai–Tibetan Plateau, are heavily affected by thawing of frozen soils in spring as well as monsoonal precipitation in summer, which may present contrasting spatial–temporal variations in carbon transport compared to tropical and temperate streams and strongly influence the export of carbon locked in seasonally frozen soils. To illustrate the unique hydro-biogeochemistry of riverine carbon in Qinghai–Tibetan headwater streams, here we carry out a benchmark investigation on the riverine carbon transport in the Shaliu River (a small alpine river integrating headwater streams) based on annual flux monitoring, sampling at a high spatial resolution in two different seasons and hydrological event monitoring. We show that riverine carbon fluxes in the Shaliu River were dominated by dissolved inorganic carbon, peaking in the summer due to high discharge brought by the monsoon. Combining seasonal sampling along the river and monitoring of soil–river carbon transfer during spring thaw, we also show that both dissolved and particulate forms of riverine carbon increased downstream in the pre-monsoon season due to increasing contribution of organic matter derived from thawed soils along the river. By comparison, riverine carbon fluctuated in the summer, likely associated with sporadic inputs of organic matter supplied by local precipitation events during the monsoon season. Furthermore, using lignin phenol analysis for both riverine organic matter and soils in the basin, we show that the higher acid-to-aldehyde (Ad/Al) ratios of riverine lignin in the monsoon season reflect a larger contribution of topsoil likely via increased surface runoff compared with the pre-monsoon season when soil leachate lignin Ad/Al ratios were closer to those in the subsoil than topsoil solutions. Overall, these findings highlight the unique patterns and strong links of carbon transport in alpine headwater catchments with local hydrological events. Given the projected climate warming on the Qinghai–Tibetan Plateau, thawing of frozen soils and alterations of precipitation regimes may significantly influence the alpine headwater carbon transport, with critical effects on the biogeochemical cycles of the downstream rivers. The alpine headwater catchments may also be utilized as sentinels for climate-induced changes in the hydrological pathways and/or biogeochemistry of the small basin.

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Section: Study Areamentioning

confidence: 99%

Section: Study Areamentioning

confidence: 99%

Section: Study Areamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Spatial–temporal variations in riverine carbon strongly influenced by local hydrological events in an alpine catchment

et al. 2021

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“…Many studies have been performed on the highly sensitive response of karstification to environmental change, such as to changing temperature and precipitation, the instability of DIC in karst water 8,9 and the complexity of DIC sources 10,11 . Sand-Jensen et al 12 observed that the ratio of HCO 3 -/CO 2 increased from 4 to 140 when the pH value of a freshwater lake ranged from 7.0 to 8.5, indicating that the characteristics of karst groundwater were partial alkaline with high concentrations of HCO 3 -.…”

Section: Introductionmentioning

confidence: 99%

Diel Variation of Hydrochemistry and Carbon Flux in the Banzhai River, SW China

Shi

Liu

et al. 2021

Preprint

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This study was undertaken in the Banzhai, a small groundwater-fed stream flowing over carbonate karst terrain in the southwest of Guizhou, China. To assess the biogeochemical processes behind carbon fluxes and sinks and calculate the end-member contribution to the geological carbon sink, samples were collected at a 2-h sampling interval during a two-day period, and the diel-variation of δ13CDIC, δ13CPOC, and C/N were analyzed. During the sampling period, temperature, pH, electrical conductivity (EC), dissolved oxygen (Do), and chlorophyll were measured at a 15-min interval using in situ sensors. The results showed that (1) the hydro-chemical variations reflected the photosynthesis of subaquatic plants and degassing. These processes likely turned a part of HCO3- to organic carbon, which subsequently precipitated. (2) The 13C isotope ratios indicated a varying intensity of photosynthesis and degassing during the HCO3- migration process. Moreover, subaquatic plants changed their metabolic pathway from C3 to C4 carbon fixation due to the lack of CO2 in the water and utilized HCO3- in the water as their carbon source. (3) The net carbon sink flux was 1784.54 kg CO2, where carbonate weathering, the biological carbon pump, and weathering of silicate rocks accounted for 85.80 %, 13.64 %, and 0.56 %, respectively. (4) In the Banzhai ground river, the DIC during the migration process was mainly lost through degassing, allogenic acid, and consumption by photosynthesis of subaquatic plants.

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Stepping beyond your comfort zone: Diffusion‐based network analytics for knowledge trajectory recommendation

Zhang

et al. 2023

Asso for Info Science & Tech

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Predicting a researcher's knowledge trajectories beyond their current foci can leverage potential inter‐/cross‐/multi‐disciplinary interactions to achieve exploratory innovation. In this study, we present a method of diffusion‐based network analytics for knowledge trajectory recommendation. The method begins by constructing a heterogeneous bibliometric network consisting of a co‐topic layer and a co‐authorship layer. A novel link prediction approach with a diffusion strategy is then used to capture the interactions between social elements (e.g., collaboration) and knowledge elements (e.g., technological similarity) in the process of exploratory innovation. This diffusion strategy differentiates the interactions occurring among homogeneous and heterogeneous nodes in the heterogeneous bibliometric network and weights the strengths of these interactions. Two sets of experiments—one with a local dataset and the other with a global dataset—demonstrate that the proposed method is prior to 10 selected baselines in link prediction, recommender systems, and upstream graph representation learning. A case study recommending knowledge trajectories of information scientists with topical hierarchy and explainable mediators reveals the proposed method's reliability and potential practical uses in broad scenarios.

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Sensitivity of the global carbonate weathering carbon-sink flux to climate and land-use changes

Cited by 94 publications

References 46 publications

Spatial–temporal variations in riverine carbon strongly influenced by local hydrological events in an alpine catchment

Spatial–temporal variations in riverine carbon strongly influenced by local hydrological events in an alpine catchment

Diel Variation of Hydrochemistry and Carbon Flux in the Banzhai River, SW China

Stepping beyond your comfort zone: Diffusion‐based network analytics for knowledge trajectory recommendation

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