Five‐Year Measurements of Net Ecosystem CO<sub>2</sub> Exchange at a Fen in the Zoige Peatlands on the Qinghai‐Tibetan Plateau

Li, Xinwei; Zhu, Dan; Zhan, Wei; Chen, Huai; Zhu, Qiuan; Hao, Yanbin; Liu, Wenjun; He, Yixin

doi:10.1029/2019jd031429

Cited by 24 publications

(34 citation statements)

References 76 publications

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“…However, future work is required in the following areas: First, most existing observations have been conducted in the eastern TP, while very few EC systems have been deployed in the central or even western TP, which is relevant when considering the inner TP has experienced a significant increase in precipitation and water levels. (Niu et al, 2017), Dashalong, Haibei (Fu, 2006;Zhang et al, 2008;Zhao et al, 2010;Zhu et al, 2020), Lake Qinghai (Wang, 2015), Shenzha and Zoige (Kang et al, 2014;Liu et al, 2019) (i.e., the statistics of Table S1). The biweekly average was used to eliminate the influence of data size on the results.…”

Section: Implications and Limitationsmentioning

confidence: 99%

“…Here, the underlying surface with sparse vegetation is directly affected by the very high altitude environment and creates a large temperature difference between day and night (Fan et al, 2011). Moreover, the process of low-temperature limited C exchange has also been widely reported (Hao et al, 2011;Kang et al, 2014;Liu et al, 2019;Piao et al, 2019;Zhao et al, 2006). Thus, we tested the hypothesis (1) that temperature is the dominant factor controlling C exchange in the ecosystem.…”

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confidence: 99%

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Carbon Sink of a Very High Marshland on the Tibetan Plateau

Wei

Zhao

2021

JGR Biogeosciences

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Terrestrial ecosystems absorb atmospheric CO 2 through photosynthesis and convert it into sugars and starches (Keenan & Williams, 2018), though soil carbon (C) loss returns them to the atmosphere (Giardina et al., 2014;Keidel et al., 2015;Yvon-Durocher et al., 2012). Among various regions, the cold high-latitude and high-altitude regions are unique from temperate and boreal ecosystems owing to their vast permafrost soil C storage, rather than in plants. However, these cold ecosystems suffer from much stronger climate warming than the global average; for instance, warming at a rate of 0.3°C per decade in the Arctic, compared to a rate of 0.12°C per decade for the global land surface (IPCC, 2013). Under such conditions, the fate of the permafrost to climate warming is ultimately governed by the balance between photosynthetic assimilation and ecosystem respiration (Ding et al., 2017;McGuire et al., 2016).Averaging over 4,000 m in altitude, the Tibetan Plateau (TP) is home to the world's largest alpine permafrost, which contributes 15.3 Pg of soil C storage (1 Pg = 10 15 g) (Ding et al., 2016). Roughly 46% of the TP is underlain by permafrost, making it the highest and most extensive alpine permafrost on Earth (Ran et al., 2020). Temperatures in the TP region have risen by 0.26°C per decade since the 1960s (Kuang & Jiao, 2016), which is comparable to the Arctic and could potentially cause permafrost thaw and release of C. Although, two opposing pieces of evidence have been reported regarding the effects of warming on the C balance of the TP. On the one hand, permafrost degradation has been reported and projected across the TP (Zou et al., 2017). The large C pool size together with significant permafrost thawing suggests a risk of C emissions and positive climate feedback across the permafrost region on the TP (Chen et al., 2016). On the other hand, several studies, using both satellite observations and model simulations (Piao 2011;Zhang et al., 2013;Zhuang et al., 2010), have found that the TP is greener under the current warming and wetting climate, as well accumulating soil C content (Ding et al., 2017), which together suggests a stronger net C gain of alpine ecosystems, rather than permafrost C loss. Therefore, these contrasting views means it remains unclear as to whether the C balance has been altered by the changing climate on the TP.

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Section: Implications and Limitationsmentioning

confidence: 99%

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confidence: 99%

Carbon Sink of a Very High Marshland on the Tibetan Plateau

Wei

Zhao

2021

JGR Biogeosciences

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“…However, there have been few studies on the carbon cycle in the HKH region. Only part of the research has focused on the Qinghai-Tibet Plateau and mainly focused on site observations of eddy covariance [23][24][25]. There is lack of large-scale studies on the carbon cycle throughout the HKH region; thus, the role of grassland ecosystems in the HKH region in the global carbon cycle remains unclear.…”

Section: Introductionmentioning

confidence: 99%

Large-Scale Analysis of the Spatiotemporal Changes of Net Ecosystem Production in Hindu Kush Himalayan Region

Guo

Song

et al. 2021

Remote Sensing

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The Hindu Kush Himalayan (HKH) region is one of the most ecologically vulnerable regions in the world. Several studies have been conducted on the dynamic changes of grassland in the HKH region, but few have considered grassland net ecosystem productivity (NEP). In this study, we quantitatively analyzed the temporal and spatial changes of NEP magnitude and the influence of climate factors on the HKH region from 2001 to 2018. The NEP magnitude was obtained by calculating the difference between the net primary production (NPP) estimated by the Carnegie–Ames Stanford Approach (CASA) model and the heterotrophic respiration (Rh) estimated by the geostatistical model. The results showed that the grassland ecosystem in the HKH region exhibited weak net carbon uptake with NEP values of 42.03 gC∙m−2∙yr−1, and the total net carbon sequestration was 0.077 Pg C. The distribution of NEP gradually increased from west to east, and in the Qinghai–Tibet Plateau, it gradually increased from northwest to southeast. The grassland carbon sources and sinks differed at different altitudes. The grassland was a carbon sink at 3000–5000 m, while grasslands below 3000 m and above 5000 m were carbon sources. Grassland NEP exhibited the strongest correlation with precipitation, and it had a lagging effect on precipitation. The correlation between NEP and the precipitation of the previous year was stronger than that of the current year. NEP was negatively correlated with temperature but not with solar radiation. The study of the temporal and spatial dynamics of NEP in the HKH region can provide a theoretical basis to help herders balance grazing and forage.

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“…Due to missing and discarded data, in this study, we filled the gaps of CH 4 data by an average diurnal variations based on previous and subsequent days. Details of the CO 2 data processing have been described in previous study (Liu et al, 2019).…”

Section: Ec Methodsmentioning

confidence: 99%

Extrapolation and Uncertainty Evaluation of Carbon Dioxide and Methane Emissions in the Qinghai-Tibetan Plateau Wetlands Since the 1960s

et al. 2020

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Wetlands are important modulators of atmospheric greenhouse gas (GHGs) concentrations. However, little is known about the magnitudes and spatiotemporal patterns of GHGs fluxes in wetlands on the Qinghai-Tibetan Plateau (QTP), the world's largest and highest plateau. In this study, we measured soil temperature and the fluxes of carbon dioxide (CO 2) and methane (CH 4) in an alpine wetland on the QTP from April 2017 to April 2019 by the static chamber method, and from January 2017 to December 2017 by the eddy covariance (EC) method. The CO 2 and CH 4 emission measurements from both methods showed different relationships to soil temperature at different timescales (annual and seasonal). Based on such relationship patterns and soil temperature data (1960-2017), we extrapolated the CO 2 and CH 4 emissions of study site for the past 57 years: the mean CO 2 emission rate was 1096.59 mg C m −2 h −1 on different measurement methods and timescales, with the range of the mean emission rate from 421.17 to 1754.99 mg C m −2 h −1 , while the mean CH 4 emission rate was 32.99 mg C m −2 h −1 , with the ranges of the mean emission rate from 16.95 to 46.25 mg C m −2 h −1. The estimated regional CO 2 and CH 4 emissions from permanent wetlands on the QTP were 94.29 and 2.37 Tg C year −1 , respectively. These results indicate that uncertainties caused by measuring method and timescale should be fully considered when extrapolating wetland GHGs fluxes from local sites to the regional level. Moreover, the results of global warming potential showed that CO 2 dominates the GHG balance of wetlands on the QTP.

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Five‐Year Measurements of Net Ecosystem CO₂ Exchange at a Fen in the Zoige Peatlands on the Qinghai‐Tibetan Plateau

Cited by 24 publications

References 76 publications

Carbon Sink of a Very High Marshland on the Tibetan Plateau

Carbon Sink of a Very High Marshland on the Tibetan Plateau

Large-Scale Analysis of the Spatiotemporal Changes of Net Ecosystem Production in Hindu Kush Himalayan Region

Extrapolation and Uncertainty Evaluation of Carbon Dioxide and Methane Emissions in the Qinghai-Tibetan Plateau Wetlands Since the 1960s

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Five‐Year Measurements of Net Ecosystem CO2 Exchange at a Fen in the Zoige Peatlands on the Qinghai‐Tibetan Plateau

Cited by 24 publications

References 76 publications

Carbon Sink of a Very High Marshland on the Tibetan Plateau

Carbon Sink of a Very High Marshland on the Tibetan Plateau

Large-Scale Analysis of the Spatiotemporal Changes of Net Ecosystem Production in Hindu Kush Himalayan Region

Extrapolation and Uncertainty Evaluation of Carbon Dioxide and Methane Emissions in the Qinghai-Tibetan Plateau Wetlands Since the 1960s

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Five‐Year Measurements of Net Ecosystem CO₂ Exchange at a Fen in the Zoige Peatlands on the Qinghai‐Tibetan Plateau