Spatial heterogeneity of temperature sensitivity of soil respiration: A global analysis of field observations

2020 ◽  
Vol 141 ◽  
pp. 107675 ◽  
Author(s):  
Jinquan Li ◽  
Junmin Pei ◽  
Elise Pendall ◽  
Changming Fang ◽  
Ming Nie
2021 ◽  
Author(s):  
Zhihan Yang ◽  
Xiaolu Tang ◽  
Xinrui Luo ◽  
Yuehong Shi

<p>Soil respiration (RS), consisting of soil autotrophic respiration (RA) and heterotrophic respiration (RH), is the largest outflux of CO<sub>2</sub> from terrestrial ecosystems to the atmosphere. The temperature sensitivity (Q<sub>10</sub>) of RS is a crucial role in benchmarking the intensity of terrestrial soil carbon-climate feedbacks. However, the heterogeneity of Q<sub>10</sub> of RS has not been well explored. To fill this substantial knowledge gap, gridded long-term Q<sub>10</sub> datasets of RS at 5 cm with a spatial resolution of 1 km were developed from 515 field observations using a random forest algorithm with the linkage of climate, soil and vegetation variables. Q<sub>10</sub> of RA and RH were estimated based on the linear correlation between Q<sub>10</sub> of RS and RA/RH. Field observations indicated that regardless of ecosystem types, Q<sub>10</sub> of RS ranged from 1.54 to 4.17 with an average of 2.52. Q<sub>10</sub> varied significantly among ecosystem types, with the highest mean value of 3.18 for shrubland, followed by wetland (2.66), grassland (2.49) and forest (2.48), whereas the lowest value of 2.14 was found in cropland. RF could well explain the spatial variability of Q<sub>10</sub> of RS (model efficiency = 0.5). Temporally, Q<sub>10</sub> of RS, RA and RH did not differ significantly (<em>p </em>= 0.386). Spatially, Q<sub>10</sub> of RS, RA and RH varied greatly. In different climatic zones, the plateau areas had the highest mean Q<sub>10</sub> value of 2.88, followed by tropical areas (2.63), temperate areas (2.52), while the subtropical region had the lowest Q<sub>10</sub> on average (2.37). The predicted mean Q<sub>10</sub> of RS, RA and RH were 2.52, 2.29, 2.64, respectively, with strong spatial patterns, indicating that the traditional and constant Q<sub>10</sub> of 2 may bring great uncertainties in understanding of soil carbon-climate feedbacks in a warming climate.</p>


Author(s):  
Di Tong ◽  
Zhongwu Li ◽  
Haibing Xiao ◽  
Xiaodong Nie ◽  
Chun Liu ◽  
...  

PLoS ONE ◽  
2014 ◽  
Vol 9 (3) ◽  
pp. e91182 ◽  
Author(s):  
Guangxuan Han ◽  
Qinghui Xing ◽  
Yiqi Luo ◽  
Rashad Rafique ◽  
Junbao Yu ◽  
...  

2020 ◽  
Vol 1 (2) ◽  
pp. 171-179

Soil respiration is a major component of global carbon cycle. Therefore, it is crucial to understand the environmental controls on soil respiration for evaluating potential response of ecosystems to climate change. In a temperate deciduous forest (located in Northern-Hungary) we added or removed aboveground and belowground litter to determine total soil respiration. We investigated the relationship between total soil CO2 efflux, soil moisture, and soil temperature. Soil CO2 efflux was measured at each plot using soda-lime method. Temperature sensitivity of soil respiration (Q10) was monitored via measuring soil temperature on an hourly basis, while soil moisture was determined monthly. Soil respiration increased in control plots from the second year after implementing the treatment, but results showed fluctuations from one year to another. The effect of doubled litter was less significant than the effect of removal. Removed litter and root inputs caused substantial decrease in soil respiration. We found that temperature was more influential in the control of soil respiration than soil moisture. In plots with no litter Q10 varied in the largest interval. For treatment with doubled litter layer, temperature sensitivity of CO2 efflux did not change considerably. The effect of increasing soil temperature is more conspicuous to soil respiration in litter removal treatments since lack of litter causes greater irradiation. When exclusively leaf litter was considered, the effect of temperature on soil respiration was lower in treatments with added litter than with removed litter. Our results reveal that soil life is impacted by the absence of organic matter, rather than by an excess of organic matter. Results of CO2 emission from soils with different organic matter content can contribute to sustainable land use, considering the changed climatic factors caused by global climate change.


2018 ◽  
Vol 141 (1) ◽  
pp. 63-73 ◽  
Author(s):  
Megan B. Machmuller ◽  
Ford Ballantyne ◽  
Daniel Markewitz ◽  
Aaron Thompson ◽  
Nina Wurzburger ◽  
...  

2020 ◽  
Vol 17 (3) ◽  
pp. 771-780 ◽  
Author(s):  
Stephanie C. Pennington ◽  
Nate G. McDowell ◽  
J. Patrick Megonigal ◽  
James C. Stegen ◽  
Ben Bond-Lamberty

Abstract. Soil respiration (Rs), the flow of CO2 from the soil surface to the atmosphere, is one of the largest carbon fluxes in the terrestrial biosphere. The spatial variability of Rs is both large and poorly understood, limiting our ability to robustly scale it in space. One factor in Rs spatial variability is the autotrophic contribution from plant roots, but it is uncertain how the presence of plants affects the magnitude and temperature sensitivity of Rs. This study used 1 year of Rs measurements to examine the effect of localized basal area on Rs in the growing and dormant seasons, as well as during moisture-limited times, in a temperate, coastal, deciduous forest in eastern Maryland, USA. In a linear mixed-effects model, tree basal area within a 5 m radius (BA5) exerted a significant positive effect on the temperature sensitivity of soil respiration. Soil moisture was the dominant control on Rs during the dry portions of the year, while soil moisture, temperature, and BA5 all exerted significant effects on Rs in wetter periods. Our results suggest that autotrophic respiration is more sensitive to temperature than heterotrophic respiration at these sites, although we did not measure these source fluxes directly, and that soil respiration is highly moisture sensitive, even in a record-rainfall year. The Rs flux magnitudes (0.46–15.0 µmol m−2 s−1) and variability (coefficient of variability 10 %–23 % across plots) observed in this study were comparable to values observed in similar forests. Six Rs observations would be required in order to estimate the mean across all study sites to within 50 %, and 518 would be required in order to estimate it to within 5 %, with 95 % confidence. A better understanding of the spatial interactions between plants and microbes, as well as the strength and speed of above- and belowground coupling, is necessary to link these processes with large-scale soil-to-atmosphere C fluxes.


2019 ◽  
Vol 52 (8) ◽  
pp. 945-953 ◽  
Author(s):  
M. O. Tarkhov ◽  
G. V. Matyshak ◽  
I. M. Ryzhova ◽  
O. Yu. Goncharova ◽  
A. A. Bobrik ◽  
...  

2020 ◽  
Vol 84 (3) ◽  
pp. 760-774 ◽  
Author(s):  
Di Tong ◽  
Haibing Xiao ◽  
Zhongwu Li ◽  
Xiaodong Nie ◽  
Jinquan Huang

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