2018
DOI: 10.1029/2018gl077789
|View full text |Cite
|
Sign up to set email alerts
|

Influences of Root Hydraulic Redistribution on N2O Emissions at AmeriFlux Sites

Abstract: It has long been suspected that root hydraulic redistribution (HR) affects the carbon and nitrogen cycles. Nitrous oxide (N2O) is an important greenhouse gas and is the primary stratospheric ozone‐depleting substance. To our knowledge, the influences of HR on N2O emissions have not been investigated. Here we use the HR schemes of Ryel et al. and Amenu and Kumar incorporated into CLM4.5 to examine N2O emissions at five AmeriFlux sites. The results show that HR reduced N2O emissions by 28–92% in the four natural… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
9
0

Year Published

2018
2018
2024
2024

Publication Types

Select...
8

Relationship

3
5

Authors

Journals

citations
Cited by 14 publications
(9 citation statements)
references
References 50 publications
0
9
0
Order By: Relevance
“…Compared to SMS configuration, the water transported by plant root from deep to shallow soil layers (i.e., upward HR) in PHS supported plant survival and growth during drought events, which increased leaf stomatal conductance (Figure S4) and plant transpiration (Figure S5), and simultaneously promoted carbon uptake via photosynthesis and GPP. In contrast, downward HR that usually occurred during rainfall events transported water from shallow to deep soil layers, which might cause decrease of GPP, although downward HR could also help plant to survive during the following dry events/season (Fu, Lee, et al, 2018; Scott et al, 2008; Wu et al, 2020). The positive correlation between the PHS‐induced GPP increase and annual precipitation amount in the DRY region (Figure 10d) was caused by the fact that more water was available for upward HR when the limited annual precipitation increased from ~100 to ~200 mm yr −1 .…”
Section: Discussionmentioning
confidence: 99%
See 2 more Smart Citations
“…Compared to SMS configuration, the water transported by plant root from deep to shallow soil layers (i.e., upward HR) in PHS supported plant survival and growth during drought events, which increased leaf stomatal conductance (Figure S4) and plant transpiration (Figure S5), and simultaneously promoted carbon uptake via photosynthesis and GPP. In contrast, downward HR that usually occurred during rainfall events transported water from shallow to deep soil layers, which might cause decrease of GPP, although downward HR could also help plant to survive during the following dry events/season (Fu, Lee, et al, 2018; Scott et al, 2008; Wu et al, 2020). The positive correlation between the PHS‐induced GPP increase and annual precipitation amount in the DRY region (Figure 10d) was caused by the fact that more water was available for upward HR when the limited annual precipitation increased from ~100 to ~200 mm yr −1 .…”
Section: Discussionmentioning
confidence: 99%
“…However, as we noted in the methods section, nighttime stomatal conductance tends toward zero in CLM5 simulation. The model deficiency in reproducing nighttime stomatal conductance and transpiration could lead to bias in simulations of HR and subsequently ecosystem GPP (Figures 11 and 13; Fu, Lee, et al, 2018; Wu et al, 2020).…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…When HR strongly modulates N mineralization, immobilization, and plant N uptake in the dry season, soil nitrogen decomposition and soil nitrate concentration will be significantly decreased. N 2 O emission is thus reduced [35]. Moreover, HR affects the land-atmosphere water exchange and further feedbacks on the climate.…”
Section: Hydraulic Redistribution (Hr) Implementation and The Implicationmentioning
confidence: 99%
“…Soil water dynamics reflect the comprehensive influences of rainfall, evapotranspiration, and lateral leaching; therefore, we used the soil water content to validate the modeling results for the water cycle. In our previous C/N modeling studies based on CLM4.5, CLM4.5 roughly captured the net ecosystem exchange (NEE) dynamics at a site in Minnesota representing the United States Corn Belt, a Douglas fir site in Washington State, a Mesquite Savanna site in Arizona, an oak pine forest site in southern California, and an Amazon evergreen forest site in Brazil [30,31]. Moreover, CLM4.5 reproduced gross primary production (GPP), net primary production (NPP), soil organic C content, and litter and fine root masses [31].…”
Section: Land Surface Modelmentioning
confidence: 99%