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Differential responses of ecosystem carbon flux components to experimental precipitation gradient in an alpine meadow.

Authors :
Zhang, Fangyue
Quan, Quan
Ma, Fangfang
Tian, Dashuan
Zhou, Qingping
Niu, Shuli
Wang, Faming
Source :
Functional Ecology. May2019, Vol. 33 Issue 5, p889-900. 12p.
Publication Year :
2019

Abstract

Changes in precipitation have the potential to cause dramatic changes in ecosystem carbon (C) cycling; however, it remains unclear whether different components of the net ecosystem exchange (NEE) (e.g., C uptake vs. release, plant vs. microbe respiration, above‐ground vs. below‐ground plant respiration) have similar or differential sensitivity to precipitation gradients.We conducted a manipulative field experiment (from 2015 to 2017) with six precipitation treatments, including 1/12 annual precipitation (P), 1/4 P, 1/2 P, 3/4 P, P and 5/4 P in an alpine meadow to investigate the responses of the NEE components.Over the 3 years, all C fluxes showed a nonlinear response to the precipitation gradients, except for root respiration. The most extreme drought treatment (1/12 P) caused strong reductions in NEE by 15.57%, gross primary productivity by 17.26% and ecosystem respiration by 19.05%, in contrast to the control. Plant respiration was more sensitive to precipitation change than microbe respiration, and above‐ground plant respiration was more susceptible than below‐ground respiration. Structural equation models revealed that the response of C fluxes under precipitation changes was primarily due to changes in the soil water content and above‐ground net primary productivity.Our findings indicate that future precipitation changes, particularly extreme drought, will decrease ecosystem C fluxes with different magnitudes, leading to a consequent reduction of NEE. These emergent ecosystem properties are essential for the improved elucidation of carbon cycle dynamics and benchmarking models, to predict ecosystem responses to precipitation changes. A plain language summary is available for this article. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02698463
Volume :
33
Issue :
5
Database :
Academic Search Index
Journal :
Functional Ecology
Publication Type :
Academic Journal
Accession number :
136336877
Full Text :
https://doi.org/10.1111/1365-2435.13300