2021
DOI: 10.1007/s11104-020-04808-6
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Functional traits drive the difference in soil respiration between Gilbertiodendron dewevrei monodominant forests patches and Scorodophloeus zenkeri mixed forests patches in the Central Congo basin.

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Cited by 4 publications
(3 citation statements)
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“…These results indicate that the vegetation characteristics controlled the R A by signi cantly regulating the Vco 2 and LAI in the function of temperature in the P. taiwanensis forest across the altitudinal gradient. It was consistent with previous studies that seasonal changes in vegetation activity play a dominant role in the sensitivity of soil respiration component and highlights the critical ecological linkages between plant physiological processes and soil C cycling processes(Wang et al, 2010;Cassart et al, 2021).…”
supporting
confidence: 92%
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“…These results indicate that the vegetation characteristics controlled the R A by signi cantly regulating the Vco 2 and LAI in the function of temperature in the P. taiwanensis forest across the altitudinal gradient. It was consistent with previous studies that seasonal changes in vegetation activity play a dominant role in the sensitivity of soil respiration component and highlights the critical ecological linkages between plant physiological processes and soil C cycling processes(Wang et al, 2010;Cassart et al, 2021).…”
supporting
confidence: 92%
“…However, it is largely unknown the dominant species community's characteristics, soil properties, and their interactive effects on soil autotrophic respiration. Dominant tree species identity has great impact on soil autotrophic respiration, due to the plant functional traits that drive C assimilation, transfer and emission collaborate with root activity, litter production and climate conditions (De Deyn et al 2008;Cassart et al, 2021). Accurate knowledge of the predictions of soil autotrophic respiration changes require the monodominant species of characteristics to quantify these relationships.…”
Section: Introductionmentioning
confidence: 99%
“…However, it is difficult for researchers to obtain information on underground plant traits involving a certain spatial range. Because there is a strong correlation between changes in aboveground and underground traits [38], it is feasible to select easily measured aboveground functional traits to predict spatial variations in Rs [71]. The results showed that the key factors affecting Rs variability differed at different spatial scales.…”
Section: Discussionmentioning
confidence: 99%