Modeling the effects of nitrogen deposition on carbon budget in two temperate forests

Gu, Fangyi; Zhang, Yuandong; Tao, Bo; Wang, Qiufeng; Yu, Guirui; Zhang, Leiming; Li, Kerang

doi:10.1016/j.ecocom.2010.04.002

Cited by 18 publications

(16 citation statements)

References 69 publications

(98 reference statements)

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“…First, A-C i data are time-consuming to collect: each CO 2 response curve may take 1 h to set up and measure, particularly in stressed plants where stomatal closure may even prohibit such measurements. Second, a number of competing methods exist for fitting the data (Dubois et al, 2007;Sharkey et al, 2007;Patrick et al, 2009;Gu et al, 2010;Feng & Dietze, 2013) and, depending on the chosen method, parameter estimates may vary even for the same datasets (Miao et al, 2009;Niinemets et al, 2009). Many individual experimental studies tend to focus on only a small number of species and, more often than not, they concern plants grown and measured in controlled environments (laboratory or glasshouse).…”

Section: Introductionmentioning

confidence: 99%

A test of the ‘one‐point method’ for estimating maximum carboxylation capacity from field‐measured, light‐saturated photosynthesis

et al. 2015

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Key words: A-C i curve, leaf respiration during the day (R day ), maximum carboxylation rate (V cmax ), net photosynthetic rate at saturating irradiance and at ambient atmospheric CO 2 concentration (A sat ). SummarySimulations of photosynthesis by terrestrial biosphere models typically need a specification of the maximum carboxylation rate (V cmax ). Estimating this parameter using A-C i curves (net photosynthesis, A, vs intercellular CO 2 concentration, C i ) is laborious, which limits availability of V cmax data. However, many multispecies field datasets include net photosynthetic rate at saturating irradiance and at ambient atmospheric CO 2 concentration (A sat ) measurements, from which V cmax can be extracted using a 'one-point method'.We used a global dataset of A-C i curves (564 species from 46 field sites, covering a range of plant functional types) to test the validity of an alternative approach to estimate V cmax from A sat via this 'one-point method'.If leaf respiration during the day (R day ) is known exactly, V cmax can be estimated with an r 2 value of 0.98 and a root-mean-squared error (RMSE) of 8.19 lmol m À2 s À1 . However, R day typically must be estimated. Estimating R day as 1.5% of V cmax, we found that V cmax could be estimated with an r 2 of 0.95 and an RMSE of 17.1 lmol m À2 s À1 . The one-point method provides a robust means to expand current databases of fieldmeasured V cmax , giving new potential to improve vegetation models and quantify the environmental drivers of V cmax variation.

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Section: Introductionmentioning

confidence: 99%

A test of the ‘one‐point method’ for estimating maximum carboxylation capacity from field‐measured, light‐saturated photosynthesis

et al. 2015

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“…In the CEVSA2, three integral, independent, but interconnected cycles are examined: C, water, and N (Gu et al, 2010). The CEVSA2 includes major interactions between C and N, such as the effects of N on photosynthesis, respiration, carbon allocation, and soil C decomposition (Fig.…”

Section: General Descriptionmentioning

confidence: 99%

Nitrogen deposition and its effect on carbon storage in Chinese forests during 1981–2010

Zhang

Huang

et al. 2015

Atmospheric Environment

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h i g h l i g h t sWe developed a new algorithm to simulate the variation of nitrogen deposition. The N deposition rate has increased significantly, during 1981e2010 in China. An increase in C storage of Chinese forests attributed to increase of N deposition. The N use efficiency is the highest in the moderate N deposition. a r t i c l e i n f o . We suggest conducting more manipulation experiments and observations in different vegetation types, which will be greatly helpful to incorporate additional processes and mechanisms into the ecosystem modeling. Further development of ecosystem models and identification of CeN interactions will be important for determining the effects of N input on C cycles on both regional and global scales.

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“…Initial values of carbon pool sizes were derived from relevant studies (Yang and Li 2003;Jiang et al 2005), and measurements of biomass and soil organic matter were obtained from the Chinese Ecosystem Research Network (CERN) at the CBS site. The default values of model parameters were chosen to be the same values used in Gu et al (2010). A comparison between the observed and modeled GPP, NEE, LAI, and evapotranspiration (ET) showed that the output from the CEVSA2 model with default values were a good match to the corresponding actual data (Fig.…”

Section: Model Descriptionmentioning

confidence: 98%

“…CEVSA2 is based on the original CEVSA model (Cao and Woodward 1998;Cao et al 2003;Tao et al 2007), but a parameterization submodel of leaf phenology has been added to it, and the simulation of carbon allocation, seasonal changes in the leaf area index (LAI), and evapotranspiration (ET) has also been modified (Gu et al 2010). The CEVSA2 model was applied successfully to model the dynamic carbon flux in different forest ecosystems (Gu et al 2010). A detailed description of the CEVSA2 model is given in the Appendix.…”

Section: Model Descriptionmentioning

confidence: 99%

“…The CEVSA2 model is a processbased ecosystem model that simulates carbon and water exchange between the vegetation, the soil, and the atmosphere with a time step of one day, and consists of three submodels: the biophysical submodel, the vegetation submodel, and the biogeochemical submodel (Gu 2007;Gu et al 2010). CEVSA2 is based on the original CEVSA model (Cao and Woodward 1998;Cao et al 2003;Tao et al 2007), but a parameterization submodel of leaf phenology has been added to it, and the simulation of carbon allocation, seasonal changes in the leaf area index (LAI), and evapotranspiration (ET) has also been modified (Gu et al 2010). The CEVSA2 model was applied successfully to model the dynamic carbon flux in different forest ecosystems (Gu et al 2010).…”

Section: Model Descriptionmentioning

confidence: 99%

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Uncertainty analysis of modeled carbon fluxes for a broad-leaved Korean pine mixed forest using a process-based ecosystem model

Zhang

et al. 2012

Journal of Forest Research

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The uncertainty in the predicted values of a process-based terrestrial ecosystem model is as important as the predicted values themselves. However, few studies integrate uncertainty analysis into their modeling of carbon dynamics. In this paper, we conducted a local sensitivity analysis of the model parameters of a process-based ecosystem model at the Chaibaishan broad-leaved Korean pine mixed forest site in [2003][2004][2005]. Sixteen parameters were found to affect the annual net ecosystem exchange of CO 2 (NEE) in each of the three years. We combined a Monte Carlo uncertainty analysis with a standardized multiple regression method to distinguish the contributions of the parameters and the initial variables to the output variance. Our results showed that the uncertainties in the modeled annual gross primary production and ecosystem respiration were 5-8% of their mean values, while the uncertainty in the annual NEE was up to 23-37% of the mean value in [2003][2004][2005]. Five parameters yielded about 92% of the uncertainty in the modeled annual net ecosystem exchange.Finally, we analyzed the sensitivity of the meteorological data and compared two types of meteorological data and their effects on the estimation of carbon fluxes. Overestimating the relative humidity at a spatial resolution of 10 km 9 10 km had a larger effect on the annual gross primary production, ecosystem respiration, and net ecosystem exchange than underestimating precipitation. More attention should be paid to the accurate estimation of sensitive model parameters, driving meteorological data, and the responses of ecosystem processes to environmental variables in the context of global change.

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Modeling the effects of nitrogen deposition on carbon budget in two temperate forests

Cited by 18 publications

References 69 publications

A test of the ‘one‐point method’ for estimating maximum carboxylation capacity from field‐measured, light‐saturated photosynthesis

A test of the ‘one‐point method’ for estimating maximum carboxylation capacity from field‐measured, light‐saturated photosynthesis

Nitrogen deposition and its effect on carbon storage in Chinese forests during 1981–2010

Uncertainty analysis of modeled carbon fluxes for a broad-leaved Korean pine mixed forest using a process-based ecosystem model

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