Effects of precipitation changes on aboveground net primary production and soil respiration in a switchgrass field

Deng, Qi; Aras, Sadiye; Yu, Chih‐Li; Dzantor, E. Kudjo; Fay, Philip A.; Luo, Yiqi; Shen, Weijun; Hui, Dafeng

doi:10.1016/j.agee.2017.07.023

Cited by 48 publications

(44 citation statements)

References 58 publications

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“…Soil type at the experimental site was a Lindside silt loam soil (fine-silty, mixed, active, mesic fluvaquentic Eutrudepts, occasionally flooded), slightly acidic (pH = 5.7), and average carbon (11.1 g kg −1 ), N (1.0 g kg −1 ), and phosphorus (150 mg kg −1 ). Annual mean temperature is about 15 • C and total annual precipitation is 1200 mm [37].…”

Section: Experimental Facility and Designmentioning

confidence: 99%

“…Leaf photosynthesis and transpiration rates were measured using a Li-6400 Portable Photosynthesis System (Li-Cor Inc., Lincoln, NE, USA) similar to Hui et al (2018) [5,37]. Five fully expanded healthy leaves were randomly selected and measured for leaf photosynthesis in each plot.…”

Section: Field Measurementsmentioning

confidence: 99%

“…Soil respiration was measured using the Li-Cor 6400 infrared gas analyzer (Li-COR, Inc., Lincoln, NE, USA) connected to a Li-Cor 6400-09 soil respiration chamber (9.55 cm diameter) (Li-COR, Inc., Lincoln, NE, USA) following Deng et al (2017) [38,39]. Four PVC soil collars (80 cm 2 in area and 5 cm in height) were permanently installed about 3 cm deep into the soil in each of the plots of two blocks at least 24 h before the first soil respiration measurements.…”

Section: Field Measurementsmentioning

confidence: 99%

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Weak Effects of Biochar and Nitrogen Fertilization on Switchgrass Photosynthesis, Biomass, and Soil Respiration

Hui

Deng

et al. 2018

Agriculture

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Application of nitrogen (N) fertilizer plus biochar may increase crop yield, but how biochar will interact with N fertilization to affect bioenergy crop switchgrass physiology, biomass, and soil CO2 emission (i.e., soil respiration) from switchgrass fields remains unclear. Here, we assessed this issue by conducting a field experiment near Nashville TN with two levels of biochar treatment (a control without biochar addition and biochar addition of 9 Mg ha−1), and four N fertilization levels (0 kg N ha−1, 17 kg N ha−1, 34 kg N ha−1, and 67 kg N ha−1, labeled as ON, LN, MN, and HN, respectively). Results showed that both biochar addition and N fertilization did not influence switchgrass leaf photosynthesis and biomass, but biochar addition enhanced leaf transpiration, and reduced water use efficiency. Soil respiration was reduced by biochar addition, but significantly enhanced by N fertilization. Biochar and N fertilization interactively influenced soil respiration and seasonal variation of soil respiration was mostly controlled by soil temperature. Our results indicated that switchgrass can maintain high productivity without much N input, at least for several years. The findings from this study are useful to optimize N fertilization and biochar addition in the switchgrass fields for maintaining relatively high productive switchgrass biomass while reducing soil CO2 emission.

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Section: Experimental Facility and Designmentioning

confidence: 99%

Section: Field Measurementsmentioning

confidence: 99%

Section: Field Measurementsmentioning

confidence: 99%

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Weak Effects of Biochar and Nitrogen Fertilization on Switchgrass Photosynthesis, Biomass, and Soil Respiration

Hui

Deng

et al. 2018

Agriculture

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“…When modeling the characteristics of FGs, there are several key factors that should be included in order to properly simulate ecosystem processes. Biomass has a large impact on CS rates and can be integrated into models through data on net primary production [37] and vegetative growth as well as growth responses to management (grazing intensity, fertilizer addition, etc. ), weather, and atmospheric C levels [38].…”

Section: Resultsmentioning

confidence: 99%

Using Plant Functional Groups as a Strategy for Modeling Carbon Dynamics in Grassland Ecosystems

Deirdre¹,

Bailey²,

Yi-Wen³

2019

Adv Environ Stud

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This paper argues for the use of plant functional groups as an important strategy for modeling carbon dynamics in grasslands. Carbon sequestration is paramount to help reduce climate change globally, and grasslands, representing 40% of all terrestrial area, can serve as primary locations of sequestration if optimal management strategies can be realized. Currently, the majority of research occurs in the field, which can take years to find what an optimal carbon sequestration strategy looks like, but modeling ecosystems offers an opportunity of realize long term management strategies for a particular locations. Current ecosystem modeling strategies tend to focus on agricultural applications or are model grassland for large regions, like Europe, or globally. Models tend to use just a few species, or only C3/C4 groups, as opposed to using C3 and C4 grasses as separate groups as well as forbs and legumes in their model. This paper lays out a justification for using the four groups in modeling in order to optimize simulation models while accounting for the importance of diversity in modeling strategies.

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“…First, changes in the C fluxes were related to changes in the ANPP (Supporting Information Figure S3). The asymmetric change in ANPP serves as a major cause of the nonlinear response of C fluxes to changing precipitation (Deng et al, ; Wilcox et al, ). Second, SWC was significantly reduced by decreasing precipitation treatments; however, they were not impacted by increasing precipitation (Figure ).…”

Section: Discussionmentioning

confidence: 99%

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

Zhang

Quan

et al. 2019

Functional Ecology

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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.

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Effects of precipitation changes on aboveground net primary production and soil respiration in a switchgrass field

Cited by 48 publications

References 58 publications

Weak Effects of Biochar and Nitrogen Fertilization on Switchgrass Photosynthesis, Biomass, and Soil Respiration

Weak Effects of Biochar and Nitrogen Fertilization on Switchgrass Photosynthesis, Biomass, and Soil Respiration

Using Plant Functional Groups as a Strategy for Modeling Carbon Dynamics in Grassland Ecosystems

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

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