Different effects of warming and cooling on the decomposition of soil organic matter in warm–temperate oak forests: a reciprocal translocation experiment

Luan, Junwei; Liu, Shirong; Chang, Scott X.; Wang, Jingxin; Zhu, Xiaobing; Liu, Kuan; Wu, Jianghua

doi:10.1007/s10533-014-0022-y

Cited by 32 publications

(29 citation statements)

References 46 publications

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“…However, we could not determine which process the norB genes belong to. The ecosystem respiration (Re, represented by the measured CO 2 flux) response was negative, with an effect size of − 0.30 (±0.15) (Figure 1), similar to a recent cooling experiment in forests (Luan et al, 2014). However, partial Mantel tests demonstrated an insignificant correlation between C decomposition gene abundance and CO 2 flux when soil or plant variables were controlled (Table 2).…”

Section: Resultssupporting

confidence: 69%

“…To date, the effects of cooling are estimated indirectly by historical records (Campbell and McAndrews, 1993;Doran et al, 2002) or model simulation (Lucht et al, 2002), owing to the difficulty of carrying out in situ studies. Soil transplant experiments provide an opportunity to quantify the direct influence of substantial climate changes on the plant and soil microbial community structure and function (Breeuwer et al, 2010;Vanhala et al, 2011;Luan et al, 2014). For example, soil transplants into warmer climates have shown comparable results to long-term in situ artificial warming (Petchey et al, 1999;Vanhala et al, 2011;Zhou et al, 2012;Luan et al, 2014;Yue et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

“…Soil transplant experiments provide an opportunity to quantify the direct influence of substantial climate changes on the plant and soil microbial community structure and function (Breeuwer et al, 2010;Vanhala et al, 2011;Luan et al, 2014). For example, soil transplants into warmer climates have shown comparable results to long-term in situ artificial warming (Petchey et al, 1999;Vanhala et al, 2011;Zhou et al, 2012;Luan et al, 2014;Yue et al, 2015). In this study, we conducted a soil transplant study in a Tibetan alpine grassland, which is the largest grassland on the Eurasian continent (Yang et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

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Alpine soil carbon is vulnerable to rapid microbial decomposition under climate cooling

Yang

Wang

et al. 2017

The ISME Journal

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As climate cooling is increasingly regarded as important natural variability of long-term global warming trends, there is a resurging interest in understanding its impact on biodiversity and ecosystem functioning. Here, we report a soil transplant experiment from lower to higher elevations in a Tibetan alpine grassland to simulate the impact of cooling on ecosystem community structure and function. Three years of cooling resulted in reduced plant productivity and microbial functional potential (for example, carbon respiration and nutrient cycling). Microbial genetic markers associated with chemically recalcitrant carbon decomposition remained unchanged despite a decrease in genes associated with chemically labile carbon decomposition. As a consequence, cooling-associated changes correlated with a decrease in soil organic carbon (SOC). Extrapolation of these results suggests that for every 1 °C decrease in annual average air temperature, 0.1 Pg (0.3%) of SOC would be lost from the Tibetan plateau. These results demonstrate that microbial feedbacks to cooling have the potential to differentially impact chemically labile and recalcitrant carbon turnover, which could lead to strong, adverse consequences on soil C storage. Our findings are alarming, considering the frequency of short-term cooling and its scale to disrupt ecosystems and biogeochemical cycling.

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Section: Resultssupporting

confidence: 69%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Alpine soil carbon is vulnerable to rapid microbial decomposition under climate cooling

Yang

Wang

et al. 2017

The ISME Journal

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“…7 General negative relationships between temperature sensitivity (Q 10 ) and substrate quality across all ecosystem types. Thus, the significant linear relationships between Q 10 and qCO 2 might explain why Q 10 increases with increasing EC (Luan et al, 2014). Fitted function: Q 10 = x 0 + a 9 exp (b 9 A).…”

Section: Factors Controlling Regional Variation In Q 10mentioning

confidence: 99%

“…Soil microbial biomass declined significantly with increasing EC, whereas the metabolic quotient (qCO 2 ) was positively correlated with EC (Iwai et al, 2012). Thus, the significant linear relationships between Q 10 and qCO 2 might explain why Q 10 increases with increasing EC (Luan et al, 2014). DOC is an indicator of easily decomposable substrate.…”

Section: Factors Controlling Regional Variation In Q 10mentioning

confidence: 99%

Regional variation in the temperature sensitivity of soil organic matter decomposition in China's forests and grasslands

Liu

Zhu

et al. 2017

Global Change Biology

113

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How to assess the temperature sensitivity (Q ) of soil organic matter (SOM) decomposition and its regional variation with high accuracy is one of the largest uncertainties in determining the intensity and direction of the global carbon (C) cycle in response to climate change. In this study, we collected a series of soils from 22 forest sites and 30 grassland sites across China to explore regional variation in Q and its underlying mechanisms. We conducted a novel incubation experiment with periodically changing temperature (5-30 °C), while continuously measuring soil microbial respiration rates. The results showed that Q varied significantly across different ecosystems, ranging from 1.16 to 3.19 (mean 1.63). Q was ordered as follows: alpine grasslands (2.01) > temperate grasslands (1.81) > tropical forests (1.59) > temperate forests (1.55) > subtropical forests (1.52). The Q of grasslands (1.90) was significantly higher than that of forests (1.54). Furthermore, Q significantly increased with increasing altitude and decreased with increasing longitude. Environmental variables and substrate properties together explained 52% of total variation in Q across all sites. Overall, pH and soil electrical conductivity primarily explained spatial variation in Q . The general negative relationships between Q and substrate quality among all ecosystem types supported the C quality temperature (CQT) hypothesis at a large scale, which indicated that soils with low quality should have higher temperature sensitivity. Furthermore, alpine grasslands, which had the highest Q , were predicted to be more sensitive to climate change under the scenario of global warming.

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Geothermally warmed soils reveal persistent increases in the respiratory costs of soil microbes contributing to substantial C losses

et al. 2018

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Increasing temperatures can accelerate soil organic matter decomposition and release large amounts of CO2 to the atmosphere, potentially inducing positive warming feedbacks. Alterations to the temperature sensitivity and physiological functioning of soil microorganisms may play a key role in these carbon (C) losses. Geothermally active areas in Iceland provide stable and continuous soil temperature gradients to test this hypothesis, encompassing the full range of warming scenarios projected by the Intergovernmental Panel on Climate Change for the northern region. We took soils from these geothermal sites seven years after the onset of warming and incubated them at varying temperatures and substrate availability conditions to detect persistent alterations of microbial physiology to long-term warming. Seven years of continuous warming ranging from 1.8 to 15.9 ºC triggered a 8.6 to 58.0 % decrease on the C concentrations in the topsoil (0-10 cm) of these sub-arctic silt-loam Andosols. The sensitivity of microbial respiration to temperature (Q10) was not altered. However, soil microbes showed a persistent increase in their microbial metabolic quotients (microbial respiration per unit of microbial biomass) and a subsequent diminished C retention in biomass. After an initial depletion of labile soil C upon soil warming, increasing energy costs of metabolic maintenance and resource acquisition led to a weaker capacity of C stabilization in the microbial biomass of warmer soils. This mechanism contributes to our understanding of the acclimated response of soil respiration to in situ soil warming at the ecosystem level, despite a lack of acclimation at the physiological level. Persistent increases in the respiratory costs of soil microbes in response to warming constitute a fundamental process that should be incorporated into climate change-C cycling models.

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Different effects of warming and cooling on the decomposition of soil organic matter in warm–temperate oak forests: a reciprocal translocation experiment

Cited by 32 publications

References 46 publications

Alpine soil carbon is vulnerable to rapid microbial decomposition under climate cooling

Alpine soil carbon is vulnerable to rapid microbial decomposition under climate cooling

Regional variation in the temperature sensitivity of soil organic matter decomposition in China's forests and grasslands

Geothermally warmed soils reveal persistent increases in the respiratory costs of soil microbes contributing to substantial C losses

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