Partitioning interannual variability in net ecosystem exchange between climatic variability and functional change

Hui, Dafeng; Luo, Yiqi; Katul, Gabriel G.

doi:10.1093/treephys/23.7.433

Cited by 124 publications

(161 citation statements)

References 50 publications

Supporting

Mentioning

156

Contrasting

Order By: Relevance

“…Previous studies have shown that the importance of BE could be larger than Polley et al, 2008;Wu et al, 2012), equivalent to (Hui et al, 2003;Richardson et al, 2007), or less than Polley et al, 2008;Teklemariam et al, 2010) that of CE at the interannual scale. However, whether such discrepancy was related to disturbances (Polley et al, 2008), vegetation types (Adkinson et al, 2011;Wu et al, 2012), or other factors is not well quantified.…”

Section: Introductionmentioning

confidence: 87%

“…S2a-c), although they might theoretically impact the sensitivity of ecosystems to climatic variations. For example, ecosystem type was suggested as a factor related to the CnBE NEE with the largest value in grassland, followed by deciduous forest, evergreen forest, and peatland (Hui et al, 2003;Polley et al, 2008;Richardson et al, 2007;Teklemariam et al, 2010;Wu et al, 2012). Young stands might tend to have larger CnBE NEE due to their rapid growth.…”

Section: Relative Contribution Of Be To the Iav In C Fluxes At The Ecmentioning

confidence: 99%

“…The IAV in NEE is a phenomenon observed at almost all eddy-flux sites around the world (Baldocchi, 2008). The factors driving the IAV in NEE include (1) climate, (2) physiological processes, (3) phenology, (4) ecosystem structure, (5) nutrient cycling in ecosystems, and (6) disturbance (Hui et al, 2003;Marcolla et al, 2011;Polley et al, 2008;Richardson et al, 2007). Among these, the changes in climatic variables and physiological processes can directly affect the IAV in NEE.…”

Section: Introductionmentioning

confidence: 99%

“…Unfortunately, this approach is not always appropriate because biotic drivers are usually difficult to obtain. Hui et al (2003) and Richardson et al (2007) attributed the CE and BE to the changes in the model outputs caused by changed values of variables and parameters, respectively. However, model-data mismatching (Hui et al, 2003;Polley et al, 2008;Teklemariam et al, 2010) and site-specific relationships between climatic variables and C fluxes caused the great difficulty in multi-site comparisons.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Biotic and climatic controls on interannual variability in carbon fluxes across terrestrial ecosystems

Shao

Zhou

Luo

et al. 2015

Agricultural and Forest Meteorology

View full text Add to dashboard Cite

a b s t r a c tInterannual variability (IAV, represented by standard deviation) in net ecosystem exchange of CO 2 (NEE) is mainly driven by climatic drivers and biotic variations (i.e., the changes in photosynthetic and respiratory responses to climate), the effects of which are referred to as climatic (CE) and biotic effects (BE), respectively. Evaluating the relative contributions of CE and BE to the IAV in carbon (C) fluxes and understanding their controlling mechanisms are critical in projecting ecosystem changes in the future climate. In this study, we applied statistical methods with flux data from 65 sites located in the Northern Hemisphere to address this issue. Our results showed that the relative contribution of BE (CnBE) and CE (CnCE) to the IAV in NEE was 57% ± 14% and 43% ± 14%, respectively. The discrepancy in the CnBE among sites could be largely explained by water balance index (WBI). Across water-stressed ecosystems, the CnBE decreased with increasing aridity (slope = 0.18% mm −1 ). In addition, the CnBE tended to increase and the uncertainty reduced as timespan of available data increased from 5 to 15 years. Inter-site variation of the IAV in NEE mainly resulted from the IAV in BE (72%) compared to that in CE (37%). Interestingly, positive correlations between BE and CE occurred in grasslands and dry ecosystems (r > 0.45, P < 0.05) but not in other ecosystems. These results highlighted the importance of BE in determining the IAV in NEE and the ability of ecosystems to regulate C fluxes under climate change might decline when the ecosystems experience more severe water stress in the future.

show abstract

Section: Introductionmentioning

confidence: 87%

Section: Relative Contribution Of Be To the Iav In C Fluxes At The Ecmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Biotic and climatic controls on interannual variability in carbon fluxes across terrestrial ecosystems

Shao

Zhou

Luo

et al. 2015

Agricultural and Forest Meteorology

View full text Add to dashboard Cite

show abstract

“…The annual CO 2 exchange at Harvard Forest have been found to be sensitive to climatic factors during and before the growing season [Goulden et al, 1996;Barford et al, 2001;Urbanski et al, 2007]. The critical role of climatic factors in influencing the interannual variability of CO 2 exchange is also evident in other northern midlatitude forests [e.g., Graumlich et al, 1989;Houghton, 2000;Hui et al, 2003;Dunn et al, 2007;Wang et al, 2008].…”

Section: Introductionmentioning

confidence: 99%

Relationships between large-scale circulation patterns and carbon dioxide exchange by a deciduous forest

Zhang

Huang

et al. 2011

J. Geophys. Res.

View full text Add to dashboard Cite

[1] In this study, we focus on a deciduous forest in central Massachusetts and investigate the relationships between global climate indices and CO 2 exchange using eddy-covariance flux measurements from 1992 to 2007. Results suggest that large-scale circulation patterns influence the annual CO 2 exchange in the forest through their effects on the local surface climate. Annual gross ecosystem exchange (GEE) in the forest is closely associated with spring El Niño-Southern Oscillation (ENSO) and Pacific Decadal Oscillation (PDO), previous fall Atlantic Multidecadal Oscillation (AMO), and previous winter East Pacific-North Pacific (EP-NP) pattern. Annual net ecosystem exchange (NEE) responds to previous fall AMO and PDO, while annual respiration (R) is impacted by previous fall ENSO and Pacific/North American Oscillation (PNA). Regressions based on these relationships are developed to simulate the annual GEE, NEE, and R. To avoid problems of multicollinearity, we compute a "Composite Index for GEE (CI GEE )" based on a linear combination of spring ENSO and PDO, fall AMO, and winter EP-NP and a "Composite Index for R (CI R )" based on a linear combination of fall ENSO and PNA. CI GEE , CI R , and fall AMO and PDO can explain 41, 27, and 40% of the variance of the annual GEE, R, and NEE, respectively. We further apply the methodology to two other northern midlatitude forests and find that interannual variabilities in NEE of the two forests are largely controlled by large-scale circulation patterns. This study suggests that global climate indices provide the potential for predicting CO 2 exchange variability in the northern midlatitude forests.Citation: Zhang, J., L. Wu, G. Huang, and M. Notaro (2011), Relationships between large-scale circulation patterns and carbon dioxide exchange by a deciduous forest,

show abstract

Atmospheric observations inform CO₂ flux responses to enviroclimatic drivers

Fang

Michalak

2015

Global Biogeochemical Cycles

View full text Add to dashboard Cite

Understanding the response of the terrestrial biospheric carbon cycle to variability in enviroclimatic drivers is critical for predicting climate-carbon interactions. Here we apply an atmospheric-inversion-based framework to assess the relationships between the spatiotemporal patterns of net ecosystem CO 2 exchange (NEE) and those of enviroclimatic drivers. We show that those relationships can be directly observed at 1°× 1°3-hourly resolution from atmospheric CO 2 measurements for four of seven large biomes in North America, namely, (i) boreal forests and taiga; (ii) temperate coniferous forests; (iii) temperate grasslands, savannas, and shrublands; and (iv) temperate broadleaf and mixed forests. We find that shortwave radiation plays a dominant role during the growing season over all four biomes. Specific humidity and precipitation also play key roles and are associated with decreased CO 2 uptake (or increased release). The explanatory power of specific humidity is especially strong during transition seasons, while that of precipitation appears during both the growing and dormant seasons. We further find that the ability of four prototypical terrestrial biospheric models (TBMs) to represent the spatiotemporal variability of NEE improves as the influence of radiation becomes more dominant, implying that TBMs have a better skill in representing the impact of radiation relative to other drivers. Even so, we show that TBMs underestimate the strength of the relationship to radiation and do not fully capture its seasonality. Furthermore, the TBMs appear to misrepresent the relationship to precipitation and specific humidity at the examined scales, with relationships that are not consistent in terms of sign, seasonality, or significance relative to observations. More broadly, we demonstrate the feasibility of directly probing relationships between NEE and enviroclimatic drivers at scales with no direct measurements of NEE, opening the door to the study of emergent processes across scales and to the evaluation of their scaling within TBMs.

show abstract

Partitioning interannual variability in net ecosystem exchange between climatic variability and functional change

Cited by 124 publications

References 50 publications

Biotic and climatic controls on interannual variability in carbon fluxes across terrestrial ecosystems

Biotic and climatic controls on interannual variability in carbon fluxes across terrestrial ecosystems

Relationships between large-scale circulation patterns and carbon dioxide exchange by a deciduous forest

Atmospheric observations inform CO₂ flux responses to enviroclimatic drivers

Contact Info

Product

Resources

About

Partitioning interannual variability in net ecosystem exchange between climatic variability and functional change

Cited by 124 publications

References 50 publications

Biotic and climatic controls on interannual variability in carbon fluxes across terrestrial ecosystems

Biotic and climatic controls on interannual variability in carbon fluxes across terrestrial ecosystems

Relationships between large-scale circulation patterns and carbon dioxide exchange by a deciduous forest

Atmospheric observations inform CO2 flux responses to enviroclimatic drivers

Contact Info

Product

Resources

About

Atmospheric observations inform CO₂ flux responses to enviroclimatic drivers