Relationship between basal soil respiration and the temperature sensitivity of soil respiration and their key controlling factors across terrestrial ecosystems

2022 ◽  
Author(s):  
Shutao Chen ◽  
Miaomiao Zhang ◽  
Jianwen Zou ◽  
Zhenghua Hu
Keyword(s):  
Soil Respiration ◽  
Temperature Sensitivity ◽  
Terrestrial Ecosystems ◽  
Controlling Factors ◽  
Basal Soil Respiration

Spatial heterogeneity of temperature sensitivity of soil respiration across China

2021 ◽  
Author(s):  
Zhihan Yang ◽  
Xiaolu Tang ◽  
Xinrui Luo ◽  
Yuehong Shi
Keyword(s):  
Soil Respiration ◽  
Soil Carbon ◽  
Temperature Sensitivity ◽  
Terrestrial Ecosystems ◽  
Mean Value ◽  
Field Observations ◽  
Climate Feedbacks ◽  
Tropical Areas ◽  
Model Efficiency

<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>

scholarly journals How do soil microbes exert impact on soil respiration and its temperature sensitivity?

2021 ◽  
Author(s):  
Di Tong ◽  
Zhongwu Li ◽  
Haibing Xiao ◽  
Xiaodong Nie ◽  
Chun Liu ◽  
...  
Keyword(s):  
Soil Respiration ◽  
Temperature Sensitivity ◽  
Soil Microbes

A coupled multi-proxy and process modelling approach for extraction of quantitative terrestrial ecosystem information from speleothems

2021 ◽  
Author(s):  
Franziska Lechleitner ◽  
Christopher C. Day ◽  
Oliver Kost ◽  
Micah Wilhelm ◽  
Negar Haghipour ◽  
...  
Keyword(s):  
Climate Change ◽  
Soil Respiration ◽  
Western Europe ◽  
Global Climate ◽  
Terrestrial Ecosystem ◽  
Terrestrial Ecosystems ◽  
Clear Correlation ◽  
Northern Spain ◽  
Regional Temperature ◽  
Global Carbon

<p>Terrestrial ecosystems are intimately linked with the global climate system, but their response to ongoing and future anthropogenic climate change remains poorly understood. Reconstructing the response of terrestrial ecosystem processes over past periods of rapid and substantial climate change can serve as a tool to better constrain the sensitivity in the ecosystem-climate response.</p><p>In this talk, we will present a new reconstruction of soil respiration in the temperate region of Western Europe based on speleothem carbon isotopes (δ<sup>13</sup>C). Soil respiration remains poorly constrained over past climatic transitions, but is critical for understanding the global carbon cycle and its response to ongoing anthropogenic warming. Our study builds upon two decades of speleothem research in Western Europe, which has shown clear correlation between δ<sup>13</sup>C and regional temperature reconstructions during the last glacial and the deglaciation, with exceptional regional coherency in timing, amplitude, and absolute δ<sup>13</sup>C variation. By combining innovative multi-proxy geochemical analysis (δ<sup>13</sup>C, Ca isotopes, and radiocarbon) on three speleothems from Northern Spain, and quantitative forward modelling of processes in soil, karst, and cave, we show how deglacial variability in speleothem δ<sup>13</sup>C is best explained by increasing soil respiration. Our study is the first to quantify and remove the effects of prior calcite precipitation (PCP, using Ca isotopes) and bedrock dissolution (open vs closed system, using the radiocarbon reservoir effect) from the speleothem δ<sup>13</sup>C signal to derive changes in respired δ<sup>13</sup>C over time. Our approach allows us to estimate the temperature sensitivity of soil respiration (Q<sub>10</sub>), which is higher than current measurements, suggesting that part of the speleothem signal may be related to a change in the composition of the soil respired δ<sup>13</sup>C. This is likely related to changing substrate through increasing contribution from vegetation biomass with the onset of the Holocene.</p><p>These results highlight the exciting possibilities speleothems offer as a coupled archive for quantitative proxy-based reconstructions of climate and ecosystem conditions.</p>

scholarly journals Vegetation Types Alter Soil Respiration and Its Temperature Sensitivity at the Field Scale in an Estuary Wetland

PLoS ONE ◽  
2014 ◽  
Vol 9 (3) ◽  
pp. e91182 ◽  
Author(s):  
Guangxuan Han ◽  
Qinghui Xing ◽  
Yiqi Luo ◽  
Rashad Rafique ◽  
Junbao Yu ◽  
...  
Keyword(s):  
Soil Respiration ◽  
Temperature Sensitivity ◽  
Vegetation Types ◽  
Field Scale
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