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dc.contributor.authorLi, L
dc.contributor.authorKang, X
dc.contributor.authorBiederman, JA
dc.contributor.authorWang, W
dc.contributor.authorQian, R
dc.contributor.authorZheng, Z
dc.contributor.authorZhang, B
dc.contributor.authorRan, Q
dc.contributor.authorXu, C
dc.contributor.authorLiu, W
dc.contributor.authorChe, R
dc.contributor.authorXu, Z
dc.contributor.authorCui, X
dc.contributor.authorHao, Y
dc.contributor.authorWang, Y
dc.date.accessioned2021-04-30T01:53:02Z
dc.date.available2021-04-30T01:53:02Z
dc.date.issued2021
dc.identifier.issn0048-9697
dc.identifier.doi10.1016/j.scitotenv.2021.147062
dc.identifier.urihttp://hdl.handle.net/10072/404058
dc.description.abstractChanges in precipitation amount and variability would profoundly affect carbon (C) cycling in arid and semiarid grasslands. However, compared to the effects of precipitation amounts, little is understood about the impacts of precipitation temporal variability on terrestrial C cycling. To explore relationships between precipitation variability and C cycling processes and the underlying mechanisms, we conducted a 3-year field experiment and a 12-year model simulation, in which the constant seasonal precipitation amount was temporally manipulated with four and six levels of precipitation variability, respectively, in a semiarid grassland. Based on the manipulative experiment, we found various nonlinear relationships between C cycling processes and the coefficient of precipitation variability (Pcv), including a trinomial relationship for soil respiration (tipping point: 3 and 4.3), convex relationships for gross and net ecosystem production (peak at 3.5) as well as belowground biomass (peak at 4) and a nonlinear negative relationship for ecosystem respiration (peak at 2.5). Such relationships were regulated by seasonal averaged soil water content (SWC), early-growing season precipitation amount, soil inorganic nitrogen availability (SIN), and both SWC and SIN, respectively. However, these results from the manipulative experiment did not match those from the model simulation, in which ecosystem C cycling processes, dominated only by SWC responses, showed positive linear responses to Pcv. Our results mirror that the nonlinear responses of grassland C cycling to precipitation variability as regulate by SWC and SIN should be incorporated into models to forecast future ecosystem shifts under climate change.
dc.description.peerreviewedYes
dc.languageen
dc.publisherElsevier BV
dc.relation.ispartofpagefrom147062
dc.relation.ispartofjournalScience of the Total Environment
dc.relation.ispartofvolume781
dc.subject.fieldofresearchLandscape Ecology
dc.subject.fieldofresearchcode050104
dc.titleNonlinear carbon cycling responses to precipitation variability in a semiarid grassland
dc.typeJournal article
dc.type.descriptionC1 - Articles
dcterms.bibliographicCitationLi, L; Kang, X; Biederman, JA; Wang, W; Qian, R; Zheng, Z; Zhang, B; Ran, Q; Xu, C; Liu, W; Che, R; Xu, Z; Cui, X; Hao, Y; Wang, Y, Nonlinear carbon cycling responses to precipitation variability in a semiarid grassland, Science of the Total Environment, 2021, 781, pp. 147062
dc.date.updated2021-04-30T01:01:33Z
gro.hasfulltextNo Full Text
gro.griffith.authorXu, Zhihong
gro.griffith.authorLI, Linfeng


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