2016
DOI: 10.1016/j.agrformet.2016.01.010
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Differential responses of ecosystem respiration components to experimental warming in a meadow grassland on the Tibetan Plateau

Abstract: a b s t r a c tGlobal warming is anticipated to have profound effects on terrestrial carbon fluxes and thus feed backs to future climate change. Ecosystem respiration (R eco ) is one of the dominant components of biosphere CO 2 fluxes, but the effects of warming on R eco are still unclear. A field warming experiment using open top chambers (OTCs) was conducted in a meadow grassland on the Tibetan Plateau to study the effects of warming on the components of R eco . Warming significantly enhanced above-ground pl… Show more

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Cited by 129 publications
(108 citation statements)
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“…The root respiration, as a component of Ra and Re, showed no significant correlation with CUE (Figure 8d). Previous studies have rarely considered Rr, because it is a very small proportion of Re and is hard to accurately determine [24,50]. Similarly, we did not find a comparable conclusion on the relation between Rr and CUE.…”
Section: Underlying Mechanism Explaining the Effects Of Land-use Pattcontrasting
confidence: 55%
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“…The root respiration, as a component of Ra and Re, showed no significant correlation with CUE (Figure 8d). Previous studies have rarely considered Rr, because it is a very small proportion of Re and is hard to accurately determine [24,50]. Similarly, we did not find a comparable conclusion on the relation between Rr and CUE.…”
Section: Underlying Mechanism Explaining the Effects Of Land-use Pattcontrasting
confidence: 55%
“…The LAI is a major explanatory factor for CUE changes under different land uses of steppe (91%, Figure 9a). Although it was slightly lower than Ra (Figure 8b, 97%), LAI still explained more of the CUE variation than Re (Figure 8a, 84%), whereas previous research has mostly focused on the contribution of Re [20,24,52]. The relation between LAI and productivity has been proven repeatedly and applied in biomass modeling with remote-sensing data [53,54].…”
Section: Underlying Mechanism Explaining the Effects Of Land-use Pattmentioning
confidence: 95%
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