2015
DOI: 10.1016/j.soilbio.2014.12.020
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Simulated rain addition modifies diurnal patterns and temperature sensitivities of autotrophic and heterotrophic soil respiration in an arid desert ecosystem

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Cited by 30 publications
(18 citation statements)
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“…To further diagnose the influences of various drivers that have not been included in the model calculation, we performed multiple linear regression of F3 over all land polygons as a function of vegetation type, annual precipitation, and average temperature. The results show that the spatial variation of F3 is primarily driven by the average temperature (18.8%), which controls the key parameter of net primary production (NPP) through affecting the enzyme kinetics during the processes of photosynthesis and autotrophic respiration (50,51), and is secondarily driven by precipitation and vegetation types. The most sensitive regions, which are small in area but contribute a great amount to both lateral and vertical C fluxes, are hotspots on which conservation policies should be focused.…”
Section: ) (3)mentioning
confidence: 99%
“…To further diagnose the influences of various drivers that have not been included in the model calculation, we performed multiple linear regression of F3 over all land polygons as a function of vegetation type, annual precipitation, and average temperature. The results show that the spatial variation of F3 is primarily driven by the average temperature (18.8%), which controls the key parameter of net primary production (NPP) through affecting the enzyme kinetics during the processes of photosynthesis and autotrophic respiration (50,51), and is secondarily driven by precipitation and vegetation types. The most sensitive regions, which are small in area but contribute a great amount to both lateral and vertical C fluxes, are hotspots on which conservation policies should be focused.…”
Section: ) (3)mentioning
confidence: 99%
“…However, studies showed that Q 10 was spatially heterogeneous and varied with environmental factors such as temperature and moisture . For example, Q 10 was relatively higher during the edges (start and end) of the growing season (GS) than during its peak . It was also reported that Q 10 may acclimate to warming due to depletion of soil substrates, limitation of soil moisture, and alteration of soil microbial activities .…”
Section: Introductionmentioning
confidence: 99%
“…Annual carbon sequestration would be largely overestimated if soil CO 2 fluxes in the DS were not included10. Moreover, several studies by using different approaches including stable isotope methods11, modeling methods verified by eddy covariance system12, or by using soil respiration monitoring system1314 indicated that soil CO 2 fluxes differed largely between daytime and nighttime. Nevertheless, we have still known little about the proportions and variations of nighttime and the DS R S in annual soil C fluxes in specific ecosystems.…”
mentioning
confidence: 99%
“…It varies with environmental factors and with different components of R S , largely due to the fact that Q 10 is regulated by various biotic and abiotic factors, such as soil temperature and soil water content, microbial biomass, substrate quality, and plant physiological activity131516. However, estimates of Q 10 are mostly based on measurements in daytime and during the GS, and few measurements were conducted in winter and at nighttime.…”
mentioning
confidence: 99%
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