Seasonal dynamics of soil CO2 effluxes with responses to environmental factors in lower subtropical forests of China

Zhang, Deqiang; Sun, Xiaomin; Zhou, Guoyi; Yan, Junhua; Wang, Yuesi; Liu, Shizhong; Zhou, Cunyu; Liu, Juxiu; Tang, Xuli; Li, Jiong; Zhang, Qianmei

doi:10.1007/s11430-006-8139-z

Cited by 24 publications

(31 citation statements)

References 25 publications

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“…1). This is consistent with other results reported in subtropical forests in China Zhang et al, 2006;Mo et al, 2007Mo et al, , 2008. This area is characterized by a typical subtropical monsoon climate, where nearly 80% of annual precipitation falls in the wet season (April to September).…”

Section: Effect Of Soil Temperature and Moisture On The Seasonality Osupporting

confidence: 93%

“…Therefore, high plant growth and soil microbial activity in the wet season can stimulate greater soil respiration rate. Positive exponential relationships between soil respiration and soil temperature, as well as positive linear relationships between soil respiration and soil moisture have been found in some warm and moist forests (Sotta et al, 2004;Cleveland and Townsend, 2006;Zhang et al, 2006;Mo et al, 2007Mo et al, , 2008. In our study, significant exponential relationships between soil respiration rates and soil temperatures were developed when soil moisture was higher than 15% (Fig.…”

Section: Effect Of Soil Temperature and Moisture On The Seasonality Osupporting

confidence: 77%

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Responses of soil respiration to elevated carbon dioxide and nitrogen addition in young subtropical forest ecosystems in China

et al. 2010

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Abstract. Global climate change in the real world always exhibits simultaneous changes in multiple factors. Prediction of ecosystem responses to multi-factor global changes in a future world strongly relies on our understanding of their interactions. However, it is still unclear how nitrogen (N) deposition and elevated atmospheric carbon dioxide concentration [CO 2 ] would interactively influence forest floor soil respiration in subtropical China. We assessed the main and interactive effects of elevated [CO 2 ] and N addition on soil respiration by growing tree seedlings in ten large open-top chambers under CO 2 (ambient CO 2 and 700 µmol mol −1 ) and nitrogen (ambient and 100 kg N ha −1 yr −1 ) treatments. Soil respiration, soil temperature and soil moisture were measured for 30 months, as well as above-ground biomass, root biomass and soil organic matter (SOM). Results showed that soil respiration displayed strong seasonal patterns with higher values observed in the wet season (April-September) and lower values in the dry season (October-March) in all treatments. Significant exponential relationships between soil respiration rates and soil temperatures, as well as significant linear relationships between soil respiration rates and soil moistures (below 15%) were found. Both CO 2 and N treatments significantly affected soil respiration, and there was significant interaction between elevated [CO 2 ] and N addition (p < 0.001, p = 0.003, and p = 0.006, respectively). We also observed that the stimulatory effect of individual elevated [CO 2 ] (about 29% increased) was maintained throughout the experimental period. The positive effect of N addition was found only in 2006 (8.17% increased), and then had been weakened over time. Their combined effect on soil respiration (about 50% increased) was greater thanCorrespondence to: D. Zhang (zhangdeq@scbg.ac.cn) the impact of either one alone. Mean value of annual soil respiration was 5.32 ± 0.08, 4.54 ± 0.10, 3.56 ± 0.03 and 3.53 ± 0.03 kg CO 2 m −2 yr −1 in the chambers exposed to elevated [CO 2 ] and high N deposition (CN), elevated [CO 2 ] and ambient N deposition (CC), ambient [CO 2 ] and high N deposition (NN), and ambient [CO 2 ] and ambient N deposition (CK as a control), respectively. Greater above-ground biomass and root biomass was obtained in the CN, CC and NN treatments, and higher soil organic matter was observed only in the CN treatment. In conclusion, the combined effect of elevated [CO 2 ] and N addition on soil respiration was apparent interaction. They should be evaluated in combination in subtropical forest ecosystems in China where the atmospheric CO 2 and N deposition have been increasing simultaneously and remarkably.

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Section: Effect Of Soil Temperature and Moisture On The Seasonality Osupporting

confidence: 93%

Section: Effect Of Soil Temperature and Moisture On The Seasonality Osupporting

confidence: 77%

Responses of soil respiration to elevated carbon dioxide and nitrogen addition in young subtropical forest ecosystems in China

et al. 2010

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“…Following the establishment of the QYZ station in 1983, coniferous trees were planted in the area, and they have not been disturbed since then (Huang et al, 2007). The DHS mixed forest is a succession community where evergreen broadleaf species have gradually invaded after pinus massoniana planting in the 1950s (Zhang et al, 2006a). Brief descriptions of the sites' characteristics are presented in Table 1.…”

Section: Site Descriptionmentioning

confidence: 99%

“…The number of overall sampling days was 135 for the CBS, 110 for the DHS, 114 for the QYZ, and 65 for the HBG. The soil respiration measurement method is described in detail in Zhang et al (2006a) and Zheng et al (2009). We estimated daily soil respiration by assuming a constant rate for each sample day.…”

Section: Soil Respiration Data Measured Using the Static Chamber Techmentioning

confidence: 99%

Evaluation of the Community Land Model simulated carbon and water fluxes against observations over ChinaFLUX sites

Zhang

Mao

Shi

et al. 2016

Agricultural and Forest Meteorology

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a b s t r a c tThe Community Land Model (CLM) is an advanced process-based land surface model that simulates carbon, nitrogen, water vapor and energy exchanges between terrestrial ecosystems and the atmosphere at various spatial and temporal scales. We use observed carbon and water fluxes from five representative Chinese Terrestrial Ecosystem Flux Research Network (ChinaFLUX) eddy covariance tower sites to systematically evaluate the new version CLM4.5 and old version CLM4.0, and to generate insights that may inform future model developments. CLM4.5 underestimates the annual carbon sink at three forest sites and one alpine grassland site but overestimates the carbon sink of a semi-arid grassland site. The annual carbon sink underestimation for the deciduous-dominated forest site results from underestimated daytime carbon sequestration during summer and overestimated nighttime carbon emission during spring and autumn. Compared to CLM4.0, the bias of annual gross primary production (GPP) is reduced by 24% and 28% in CLM4.5 at two subtropical forest sites. However, CLM4.5 still presents a large positive bias in annual GPP. The improvement in net ecosystem exchange (NEE) is limited, although soil respiration bias decreases by 16%-43% at three forest sites. CLM4.5 simulates lower soil water content in the dry season than CLM4.0 at two grassland sites. Drier soils produce a significant drop in the leaf area index and in GPP and an increase in respiration for CLM4.5. The new fire parameterization approach in CLM4.5 causes excessive burning at the Changbaishan forest site, resulting in an unexpected underestimation of NEE, vegetation carbon, and soil organic carbon by 46%, 95%, and 87%, respectively. Overall, our study reveals significant improvements achieved by CLM4.5 compared to CLM4.0, and suggests further developments on the parameterization of seasonal GPP and respiration, which will require a more effective representation of seasonal water conditions and the partitioning of net radiation between sensible and heat fluxes.

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“…Soil respiration was measured weekly using a static chamber-gas chromatograph technique from January 2003 to October 2005 (Zhang et al, 2006). Each sampling chamber is composed of a base box (50 cm )50 cm )10 cm) and the chamber box (50 cm )50 cm )50 cm).…”

Section: Data Sourcesmentioning

confidence: 99%

Complementarity of flux- and biometric-based data to constrain parameters in a terrestrial carbon model

Nie

et al. 2015

Tellus B: Chemical and Physical Meteorology

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A B S T R A C T To improve models for accurate projections, data assimilation, an emerging statistical approach to combine models with data, have recently been developed to probe initial conditions, parameters, data content, response functions and model uncertainties. Quantifying how many information contents are contained in different data streams is essential to predict future states of ecosystems and the climate. This study uses a data assimilation approach to examine the information contents contained in flux-and biometric-based data to constrain parameters in a terrestrial carbon (C) model, which includes canopy photosynthesis and vegetationÁsoil C transfer submodels. Three assimilation experiments were constructed with either net ecosystem exchange (NEE) data only or biometric data only [including foliage and woody biomass, litterfall, soil organic C (SOC) and soil respiration], or both NEE and biometric data to constrain model parameters by a probabilistic inversion application. The results showed that NEE data mainly constrained parameters associated with gross primary production (GPP) and ecosystem respiration (RE) but were almost invalid for C transfer coefficients, while biometric data were more effective in constraining C transfer coefficients than other parameters. NEE and biometric data constrained about 26% (6) and 30% (7) of a total of 23 parameters, respectively, but their combined application constrained about 61% (14) of all parameters. The complementarity of NEE and biometric data was obvious in constraining most of parameters. The poor constraint by only NEE or biometric data was probably attributable to either the lack of long-term C dynamic data or errors from measurements. Overall, our results suggest that flux-and biometric-based data, containing different processes in ecosystem C dynamics, have different capacities to constrain parameters related to photosynthesis and C transfer coefficients, respectively. Multiple data sources could also reduce uncertainties in parameter estimation if these data sources contain complementary information.

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Seasonal dynamics of soil CO2 effluxes with responses to environmental factors in lower subtropical forests of China

Cited by 24 publications

References 25 publications

Responses of soil respiration to elevated carbon dioxide and nitrogen addition in young subtropical forest ecosystems in China

Responses of soil respiration to elevated carbon dioxide and nitrogen addition in young subtropical forest ecosystems in China

Evaluation of the Community Land Model simulated carbon and water fluxes against observations over ChinaFLUX sites

Complementarity of flux- and biometric-based data to constrain parameters in a terrestrial carbon model

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