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Fig. 1. Principle of statistical inference through stochastic simulation. (a) shows mean model predictions (black), standard deviation (gray) and min/max values (light gray) for the biomass of a 1 ha plot over 10 000 yr, starting from an empty plot. (b) shows the same mean equilibrium biomass (black) and two standard deviations (gray), but as a function of the mortality of the late-successional type PFT 3; all other parameters constant. Comparing the observed biomass from (a), which was created with a mortality rate of 0.005, with the predicted biomass for different mortality rates, we can infer the original value as well as a statistical uncertainty, without having to define a statistical model.  
Fig. 2. Illustration of the estimation process: at the top left, a visualization representing the FORMIND model. Different colors represent different PFTs. The model is compared to the field data (middle) by fitting a distribution to the stochastic model output, and calculating the approximate probability of observing the field data from this distribution. This approximate likelihood value feeds into the conventional Bayesian analysis.  
Fig. 3. Summaries of the estimated parameter values (shown as probability distributions) after fitting the model to the virtual inventory data (case V1 in Table 2). The distributions in (a) correspond to the marginal posterior density p(φ|D) for each parameter, scaled relative to the "true" values that were used to create the synthetic data (see Table 2 in the Supplement for true values and units). The dot within each distribution denotes the median value. Panels in (b) visualize correlations between recruitment and mortality parameters in the posterior sample (recr1 refers to the recruitment rate of PFT1, mort2 refers to mortality of PFT2 and so on). The diagonal shows the marginal distributions displayed in panel (a). The lower triangle shows the correlation density between the parameters on the diagonal (red values denoting higher density) and a nonlinear fit of the correlation (black line). The upper triangle shows Spearman's rank correlation coefficients for the correlations in the lower triangle.
Fig. 5. Marginal posterior probabilities for the model parameters after fitting the model to field data from Ecuador, scaled relative to the uniform prior distributions (see Table 3 in the Supplement for prior values and units). Values used by Dislich et al. (2009) are marked as dark-red triangles. An unscaled version of these distributions and correlations are provided in Figs. 12 and 13 of the Supplement.  
Fig. 4. True, prior and posterior predictive uncertainty. Each distribution is created from 1000 model runs, observing the biomass on a 1 ha forest plot after 2000 years. The upper distribution shows biomass values from model runs with the same, " true " parameters (Table 2, Supplement), and thereby gives an estimate of the stochastic uncertainty of the model. For the middle distribution, model parameters were drawn from the prior distribution (resulting in what is called the prior predictive distribution). For the lower distribution, model parameters were drawn from the posterior (posterior predictive uncertainty).  
Technical Note: Approximate Bayesian parameterization of a complex tropical forest model
  • Article
  • Full-text available

January 2014

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174 Reads

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Claudia Dislich

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Thorsten Wiegand

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Andreas Huth
Likelihoods for fitting process-based stochastic models are usually based on general assumptions about variability in the observed data, and not on the stochasticity generated by the model. Only in recent years have new methods become available that allow the generation of likelihoods directly from stochastic simulations. Previous applications of these approximate Bayesian methods have concentrated on relatively simple models. Here, we report on the application of a simulation-based likelihood approximation for FORMIND, a parameter-rich individual-based model of tropical forest dynamics. We show that approximate Bayesian inference, based on a parametric likelihood approximation placed in a conventional Markov chain Monte Carlo (MCMC) sampler, performs well in retrieving known parameter values from virtual inventory data generated by the forest model. We analyze the results of the parameter estimation, examine its sensitivity to the choice of summary statistics that aggregate the data, and demonstrate the application of this method by fitting the FORMIND model to field data from an Ecuadorian tropical forest. Finally, we discuss how this approach differs from Approximate Bayesian Computation (ABC), another method commonly used to generate simulation-based likelihood approximations. Our results demonstrate that simulation-based inference, which offers considerable conceptual advantages over more traditional methods for inverse parameter estimation, can be successfully applied to process-based models of high complexity. The methodology is particularly suitable for heterogeneous and complex data structures and can easily be adjusted to other model types, including most stochastic population and individual-based models. Our study therefore provides a blueprint for a fairly general approach to parameter estimation of stochastic process-based models.
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Fig. 2. NO soil emission flux measured by two chambers (ch1 and 2).
Table 2 .
Nitric oxide and nitrous oxide emission from Hungarian forest soils; link with atmospheric N-deposition

June 2005

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77 Reads

Studies of forest nitrogen (N) budgets generally measure inputs from the atmosphere in wet and dry deposition and outputs via hydrologic export. Although denitrification has been shown to be important in many wetland ecosystems, emission of N oxides from forest soils is an important, and often overlooked, component of an ecosystem N budget. During 1 year (2002–03), emissions of nitric oxide (NO) and nitrous oxide (N2O) were measured from Sessile oak and Norway spruce forest soils in northeast Hungary. Accumulation in small static chambers followed by gas chromatography-mass spectrometry detection was used for the estimation of N2O emission flux. Because there are rapid chemical reactions of NO and ozone, small dynamic chambers were used for in situ NO flux measurements. Average soil emissions of NO were 1.2 and 2.1 μg N m−2 h−1, and for N2O were 15 and 20 μg N m−2 h−1, for spruce and oak soils, respectively. Due to the relatively high soil water content, and low C/N ratio in soil, denitrification processes dominate, resulting in an order of magnitude greater N2O emission rate compared to NO. The previously determined N balance between the atmosphere and the forest ecosystem was re-calculated using these soil emission figures. The total (dry+wet) atmospheric N-deposition to the soil was 1.42 and 1.59 g N m−2 yr−1 for spruce and oak, respectively, while the soil emissions are 0.14 and 0.20 g N m−2 yr−1. Thus, about 10–13% of N compounds deposited to the soil, mostly as and , were transformed in the soil and emitted back to the atmosphere, mostly as greenhouse gas (N2O).

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Fig. 5. Seasonal variation in DOC concentration in different depths in the no litter treatment (a) and the double litter treatment (b). The data gap is caused by summer dryness, when no free soil solution was available.  
Figures 695 Figure 1 696  
Mechanisms of soil carbon storage in experimental grasslands

October 2008

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297 Reads

We investigated the fate of root and litter derived carbon in soil organic matter and dissolved organic matter in soil profiles, in order to explain mechanisms of short-term soil carbon storage. A time series of soil and soil solution samples was investigated at the field site of The Jena Experiment between 2002 and 2004. In addition to the main experiment with C3 plants, a C4 species (Amaranthus retroflexus L.) naturally labeled with 13C was grown on an extra plot. Changes in organic carbon concentration in soil and soil solution were combined with stable isotope measurements to follow the fate of plant carbon into the soil and soil solution. A split plot design with plant litter removal versus double litter input simulated differences in biomass input. After 2 years, the no litter and double litter treatment, respectively, showed an increase of 381 g C m−2 and 263 g C m−2 to 20 cm depth, while 71 g C m−2 and 393 g C m−2 were lost between 20 and 30 cm depth. The isotopic label in the top 5 cm indicated that 115 g C m−2 and 156 g C m−2 of soil organic carbon were derived from C4 plant material on the no litter and the double litter treatment, respectively. Without litter, this equals the total amount of 97 g C m−2 that was newly stored in the same soil depth, whereas with double litter this clearly exceeded the stored amount of 75 g C m−2. Our results indicate that litter input resulted in lower carbon storage and larger carbon losses and consequently accelerated turnover of soil organic carbon. Isotopic evidence showed that inherited soil organic carbon was replaced by fresh plant carbon near the soil surface. Our results suggest that primarily carbon released from soil organic matter, not newly introduced plant organic matter, was transported in the soil solution. However, the total flow of dissolved organic carbon was not sufficient to explain the observed carbon storage in deeper soil layers, and the existence of additional carbon uptake mechanisms is discussed.

Review article

March 2013

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188 Reads

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Y.-C. Chen

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[...]

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The air-sea exchanges of CO2 in the world's 165 estuaries and 87 continental shelves are evaluated. Generally and in all seasons, upper estuaries with salinities of less than two are strong sources of CO2 (39 ± 56 mol C m-2 yr-1, negative flux indicates that the water is losing CO2 to the atmosphere); mid-estuaries with salinities of between 2 and 25 are moderate sources (17.5 ± 34 mol C m-2 yr-1) and lower estuaries with salinities of more than 25 are weak sources (8.4 ± 14 mol C m-2 yr-1). With respect to latitude, estuaries between 23.5 and 50° N have the largest flux per unit area (63 ± 101 mmol C m-2 d-1); these are followed by mid-latitude estuaries (23.5-0° S: 44 ± 29 mmol C m-2 d-1; 0-23.5° N: 39 ± 55 mmol C m-2 d-1), and then regions north of 50° N (36 ± 91 mmol C m-2 d-1). Estuaries south of 50° S have the smallest flux per unit area (9.5 ± 12 molC m-2 d-1). Mixing with low-pCO2 shelf waters, water temperature, residence time and the complexity of the biogeochemistry are major factors that govern the pCO2 in estuaries but wind speed, seldom discussed, is critical to controlling the air-water exchanges of CO2. The total annual release of CO2 from the world's estuaries is now estimated to be 0.10 PgC yr-1, which is much lower than published values mainly because of the contribution of a considerable amount of heretofore unpublished or new data from Asia and the Arctic. The Asian data, although indicating high in pCO2, are low in sea-to-air fluxes because the wind speeds are lower than previously determined values, which rely heavily on data from Europe and North America, where pCO2 is lower but wind speeds are much higher, such that the CO2 fluxes are higher than in Asia. Newly emerged CO2 flux data in the Arctic reveal that estuaries there mostly absorb, rather than release CO2. Most continental shelves, and especially those at high latitude, are under-saturated in terms of CO2 and absorb CO2 from the atmosphere in all seasons. Shelves between 0° and 23.5° S are on average a weak source and have a small flux per unit area of CO2 to the atmosphere. Water temperature, the spreading of river plumes, upwelling, and biological production seem to be the main factors in determining pCO2 in the shelves. Wind speed, again, is critical because at high latitudes, the winds tend to be strong. Since the surface water pCO2 values are low, the air-to-sea fluxes are high in regions above 50° N and below 50° S. At low latitudes, the winds tend to be weak, so the sea-to-air CO2 flux is small. Overall, the world's continental shelves absorb 0.4 PgC yr-1 from the atmosphere.

Fig. 1. Depth profiles of CE-SSCP fingerprints of bacterial communities of sample A (Julian Day 263). 
Fig. 2. MDS plot based on Bray-Curtis similarities of CE-SSCP fingerprints of bacterial communities samples at different time and depth. Depth repartition in three groups: 0-40 m (∆), 60-150 m () and 200-1000 m (). 
Fig. 3. Canonical correspondence analysis of bacterioplankton community structure from samples from 0 to 1000 m depth using physico-chemical parameters. Arrows point in the direction of increasing values of each variable. The length of the arrows indicates the degree of correlation with the represented axes. The position of samples relative to arrows is interpreted by projecting the points on the arrow and indicates the extent to which a sample bacterial community composition is influenced by the environmental parameter represented by that arrow. Samples from different depth groups (0-20 m, 60-150 m and 200-1000 m) are indicated by different symbols. 
Fig. 4. Canonical correspondence analysis of bacterioplankton community structure from samples from 0 to 1000 m depth using lipid biomarker parameters. For interpretation see Fig. 3. LC: lipids from chloroplastic origin, TG: triglycerides, Met: metabolites, PL: phospholipids, WE: wax esters. 
Fig. 5. Canonical correspondence analysis of bacterioplankton community structure from samples from 0 to 150 m depth using phytoplankton pigments variability. For interpretation see Fig. 3. 
Role of environmental factors for the vertical distribution (0–1000 m) of marine bacterial communities in the NW Mediterranean Sea

May 2008

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172 Reads

Bacterioplankton plays a central role in energy and matter fluxes in the sea, yet the factors that constrain its variation in marine systems are still poorly understood. Here we use the explanatory power of direct multivariate gradient analysis to evaluate the driving forces exerted by environmental parameters on bacterial community distribution in the water column. We gathered and analysed data from a one month sampling period from the surface to 1000 m depth at the JGOFS-DYFAMED station (NW Mediterranean Sea). This station is characterized by very poor horizontal advection currents which makes it an ideal model to test hypotheses on the causes of vertical stratification of bacterial communities. Capillary electrophoresis single strand conformation polymorphism (CE-SSCP) fingerprinting profiles analyzed using multivariate statistical methods demonstrated a vertical zonation of bacterial assemblages in three layers, above, in or just below the chlorophyll maximum and deeper, that remained stable during the entire sampling period. Through the use of direct gradient multivariate ordination analyses we demonstrate that a complex array of biogeochemical parameters is the driving force behind bacterial community structure shifts in the water column. Physico-chemical parameters such as phosphate, nitrate, salinity and to a lesser extent temperature, oxygen, dissolved organic carbon and photosynthetically active radiation acted in synergy to explain bacterial assemblages changes with depth. Analysis of lipid biomarkers of organic matter sources and fates suggested that bacterial community structure in the surface layers was in part explained by lipids of chloroplast origin. Further detailed analysis of pigment-based phytoplankton diversity gave evidence of a compartmentalized influence of several phytoplankton groups on bacterial community structure in the first 150 m depth.

Fig. 1. Map of the Northwestern Mediterranean Sea and the location of the time-series sampling station DYFAMED. 
Fig. 2. Comparison of seasonal and interannual variabilities of mass and TM fluxes for the period 2003-2005. Mass (in grey) and TM (black line) fluxes are expressed in gm −2 d −1 and µgm −2 d −1 , respectively; data come from a sediment trap deployed at 1000 m depth at the DYFAMED site. The correlation between mass and TM fluxes is figured by R 2 coefficients given for each TM. The data for the period 22 February to 23 June was not considered (dnc) in the present study pending calibration of the mass flux with 230 Th data (see text). 
Factors controlling the temporal variability of mass and trace metal downward flux at 1000 m depth at the DYFAMED site (Northwestern Mediterranean Sea)

April 2010

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108 Reads

The final version of the manuscript has been published in Deep Sea Research Part I: Vertical export flux of metals in the Mediterranean Sea Lars-Eric Heimbürger, Christophe Migon, Rémi Losno, Juan-Carlos Miquel, Benoît Thibodeau, Marion Stabholz, Aurélie Dufour, Nathalie Leblond Deep Sea Research Part I: Oceanographic Research Papers 01/2014; DOI:doi.org/10.1016/j.dsr.2014.02.001 Abstract: Mass fluxes and trace metal (TM) fluxes were measured from samples collected in 2003 to 2005 from sediment traps deployed at 1000 m depth at the DYFAMED (DYnamique des Flux Atmosphériques en MEDiterranée) time-series station (central Ligurian Sea, 2350 m depth). A highly significant correlation is observed between all TM fluxes, whatever the nature and emission source of the TM (e.g., crustal such as Al, Fe, Co, or anthropogenic such as Zn, Cd, Pb) and the mass flux. Because these TMs originate from different emission sources, and, therefore, their atmospheric deposition to the sea surface varies with different seasonal patterns, it is suggested that fluxes of particulate organic carbon determine fluxes of TMs, and not the contrary. The seasonal sequence of the transfer of TMs to sea floor (winter convection, spring bloom and nutrient depletion of surface waters in summer and autumn) is briefly examined to highlight the concomitant temporal variability of mass and TM fluxes. This suggests that the TM downward transfer is totally controlled by the seasonal variability of biogenic carbon production, itself depending upon the intensity of winter convection. This may be a peculiarity of marine regions such as the Ligurian Sea, where hydrodynamical features (and, therefore, spring blooms) are strongly constrained by climatic and meteorological conditions (winter temperature, wind events, rain events).

Fig. 2. 129 I concentrations in surface seawater (< 50 m) before and after the 1FNPP accident as a function of latitude. The dark green, light green, dark orange, and light orange symbols indicate cruises KT-11-06, BO-11-05, KH11-07, and KT-11-27, respectively, after the 1FNPP accident. The white symbols indicate a cruise before the Fukushima NPP accident.
Table 2 . Inventory of 129 I before and after the 1FNPP accident and its influence.
Iodine-129 concentration in seawater near Fukushima before and after the accident at the Fukushima Daiichi Nuclear Power Plant

January 2013

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675 Reads

Anthropogenic radionuclides were released into the environment in large quantities by the Fukushima Daiichi Nuclear Power Plant (1FNPP) accident. To evaluate accident-derived <sup>129</sup>I, the <sup>129</sup>I concentrations in seawater before and after the accident were compared. Before the accident (2009–2010), the <sup>129</sup>I concentrations in the western margin of the North Pacific between 36° N and 44° N showed a atitudinal gradient that was expressed as a linear function of latitude. The highest and average <sup>129</sup>I concentrations after the accident were 73 times and approximately 8 times, respectively, higher than those before the accident in this study area. Considering the distribution of <sup>129</sup>I in surface seawater, the accident-derived <sup>129</sup>I in the southern and northern stations of the 1FNPP was predominantly supplied by seawater advection and atmospheric deposition, respectively. As of October 2011, depth profiles of <sup>129</sup>I revealed that <sup>129</sup>I originating from the 1FNPP existed mainly in the upper 100 m depth. From the depth profiles, the cumulative inventories of accident-derived <sup>129</sup>I were estimated to be (1.8–9.9) × 10<sup>12</sup> atoms m<sup>−2</sup> in this study area. On the basis of the <sup>129</sup>I data in the seawater near Fukushima, the effective dose of <sup>129</sup>I from seafood ingestion was much smaller than the annual dose limit.

Fig. 1. Kinetics of cumulative excess 13 C in soil CO 2 efflux (CLR FS , top panel) and kinetics of excess 13 C in soil CO 2 efflux (Excess 13 C in F S ). Open circles are measured data and the curves represent the best fits of Eqs. (9) and (11), respectively. The example shown is for pine labelled on 3 August 2009. Asymptotic value of CLR FS (CLR FS (∞)), half residence time of soil respired 13 C in the whole plant-soil system (t1/2) and time lag (L) between the start of the labelling and the first appearance of 13 C in soil CO 2 efflux are depicted on the graphs. In this example, the best-fitted rate constants are k CB1 = 0.022, k B1B2 = 0.001, k B2B1 = 0.130 and k B1A = 0.022.  
Fig. 3. Time courses of Excess 13 C in microbial respiration (R M ) after whole crown pulse labelling of beeches (top), oaks (middle) and pines (bottom) at 0–5 cm depth (left) and 5–10 cm depth (right). Each tree is identified by its date of labelling. There are significant differences between trees for beech (F 7,78 = 23.1, p < 0.001) and oak (F 5,23 = 13.3, p < 0.001), between depths (F 1,78 = 44.9, F 1,23 = 31.7 and F 1,20 = 15.8 for beech, oak and pine respectively, p < 0.001) and between sampling dates (F 64,78 = 4.6, F 23,23 = 3.5 and F 16,20 = 3.2 for beech, oak and pine respectively, p < 0.001). The verticals bars represent the root mean error. Data are presented on two different panels according to depth but depth was included in the ANOVA.  
Fig. 5. Time courses of Excess 13 C in microbial carbon (C M ) after whole crown pulse labelling of beeches (top), oaks (middle) and pines (bottom) at 0-5 cm depth (left) and 5-10 cm depth (right). Data for 10-20 cm depth in beech and pine are not shown but they are included in the statistical analyses. Each tree is identified by its date of labelling. There are significant differences between trees (F 7,120 = 22.0, F 5,23 = 10.1 and F 7,120 = 3.8, for beech, oak and pine respectively, p < 0.001), between depth (F 2,120 = 22.0, F 1,23 = 47.1 and F 2,120 = 14.5 for beech, oak and pine respectively, p < 0.001) and between sampling dates (F 96,120 = 2.5 for beech, p < 0.001, F 23,23 = 2.4 for oak, p < 0.05 and F 96,120 = 3.0 for pine, p < 0.001). The verticals bars represent the root mean error. Data are presented on two different panels according to depth but depth was included in the ANOVA.
Fig. 7. Excess 13 C in microbial carbon (C M , left) or Excess 13 C in microbial respiration (R M , right) between normal cores and root exclusion cores. Data are pooled by date of sampling and depth for presentation but the statistical analyses were done on non-pooled data. Each tree is identified by its date of labelling. For C M , there are significant differences for beech and pine between trees (F 7,64 = 7.1 and F 7,64 = 8.2, p < 0.001), between depth for beech and oak (F 1,64 = 4.5 and F 1,62 = 3.9 respectively, p < 0.05) and between sampling dates for beech and pine (F 32,64 = 2.0 and F 32,62 = 2.2, p < 0.05). For R M , there are significant differences between trees and between sampling dates for beech (F 7,63 = 10.9 and F 32,63 = 3.7, p < 0.001), between depths for all species (F 1,63 = 14.9, F 1,16 = 18.2 and F 1,24 = 13.5 for beech, oak and pine respectively, p < 0.001). The dashed bars represent the root mean error.  
Seasonal variations of belowground carbon transfer assessed by in situ (CO2)-C-13 pulse labelling of trees

May 2011

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176 Reads

Soil CO2 efflux is the main source of CO2 from forest ecosystems and it is tightly coupled to the transfer of recent photosynthetic assimilates belowground and their metabolism in roots, mycorrhiza and rhizosphere microorganisms feeding on root-derived exudates. The objectives of our study were to assess patterns of belowground carbon allocation among tree species and along seasons. Pure 13CO2 pulse labelling of the entire crown of three different tree species (beech, oak and pine) was carried out at distinct phenological stages. Excess 13C in soil CO2 efflux was tracked using tunable diode laser absorption spectrometry to determine time lags between the start of the labelling and the appearance of 13C in soil CO2 efflux and the amount of 13C allocated to soil CO2 efflux. Isotope composition (δ13C) of CO2 respired by fine roots and soil microbes was measured at several occasions after labelling, together with δ13C of bulk root tissue and microbial carbon. Time lags ranged from 0.5 to 1.3 days in beech and oak and were longer in pine (1.6–2.7 days during the active growing season, more than 4 days during the resting season), and the transfer of C to the microbial biomass was as fast as to the fine roots. The amount of 13C allocated to soil CO2 efflux was estimated from a compartment model. Seasonal patterns of carbon allocation to soil CO2 efflux differed markedly between species, with pronounced seasonal variations in pine and beech. In beech, it may reflect competition with other sinks (aboveground growth in late spring and storage in late summer) that were not observed in oak.

Fig. 6. Seasonal variations in bulk tissue NO 3-concentration (A) and total soluble N (B) per unit dry matter in different tissues of ryegrass. The bar with arrow represents N application as NH 4 NO 3 ; the bar with solid circle represents N application as urea.
Seasonal variation in nitrogen pools and 15 N/ 13 C natural abundances in different tissues of grassland plants

December 2011

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69 Reads

Seasonal changes in nitrogen (N) pools, carbon (C) content and natural abundance of 13C and 15N in different tissues of ryegrass plants were investigated in two intensively managed grassland fields in order to address their ammonia (NH3) exchange potential. Green leaves generally had the largest total N concentration followed by stems and inflorescences. Senescent leaves had the lowest N concentration, indicating N re-allocation. The seasonal pattern of the Γ value, i.e. the ratio between NH4+ and H+ concentrations, was similar for the various tissues of the ryegrass plants but the magnitude of Γ differed considerably among the different tissues. Green leaves and stems generally had substantially lower Γ values than senescent leaves and litter. Substantial peaks in Γ were observed during spring and summer in response to fertilization and grazing. These peaks were associated with high NH4+ rather than with low H+ concentrations. Peaks in Γ also appeared during the winter, coinciding with increasing δ15N values, indicating absorption of N derived from mineralization of soil organic matter. At the same time, δ13C values were declining, suggesting reduced photosynthesis and capacity for N assimilation. δ15N and δ13C values were more influenced by mean monthly temperature than by the accumulated monthly precipitation. In conclusion, ryegrass plants showed a clear seasonal pattern in N pools. Green leaves and stems of ryegrass plants generally seem to constitute a sink for NH3, while senescent leaves have a large potential for NH3 emission. However, management events such as fertilisation and grazing may create a high NH3 emission potential even in green plant parts. The obtained results provide input for future modelling of plant-atmosphere NH3 exchange.

Figure 2 Water discharge of the Natsui River and the Same River in 2011. Data were 5 referred from the Fukushima Prefectural Government. 6 7 8 9
Table 4 . Export fluxes of 137 Cs from land to ocean in the Natsui, Same, Kuji and Tone Rivers.
Fig. 5. X-ray diffraction patterns of suspended solids in the Natsui River (a) and Same River (b) after the heavy rain event by Typhoon Roke in 2011.
Figure 6 Schematic illustrations of export of 134 Cs and 137 Cs from watersheds to rivers. 6 7 8 9
Export of 134Cs and 137Cs in the Fukushima river systems at heavy rains by Typhoon Roke in September 2011

February 2013

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104 Reads

Effects of a heavy rain event on radiocesium export were studied at stations on the Natsui River and the Same River in Fukushima Prefecture, Japan after Typhoon Roke during 21-22 September 2011, six months after the Fukushima Daiichi Nuclear Power Plant accident. Radioactivity of 134Cs and 137Cs in river waters was 0.011-0.098 Bq L-1 at normal flow conditions during July-September in 2011, but it increased to 0.85 Bq L-1 in high flow conditions by heavy rains occurring with the typhoon. The particulate fractions of 134Cs and 137Cs were 21-56% in the normal flow condition, but were close to 100% after the typhoon. These results indicate that the pulse input of radiocesium associated with suspended particles from land to coastal ocean occurred by the heavy rain event. Export flux of 134Cs and 137Cs by the heavy rain accounts for 30-50% of annual radiocesium flux in 2011. Results show that rain events are one factor controlling the transport and dispersion of radiocesium in river watersheds and coastal marine environments.

Table 1. Continued. 
Table 1. 134 Cs and 137 Cs activity in the surface water in the North Pacific Ocean until March 2012. 
Surface pathway of radioactive plume of TEPCO Fukushima NPP1 released 134Cs and 137Cs

January 2013

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165 Reads

134Cs and 137Cs were released to the North Pacific Ocean by two major likely pathways, direct discharge from the Fukushima NPP1 accident site and atmospheric deposition off Honshu Islands of Japan, east and northeast of the site. High density observations of 134Cs and 137Cs in the surface water were carried out by 17 cruises of cargo ships and several research vessel cruises since March 2011 till March 2012. Main body of radioactive surface plume of which activity was exceed 10 Bq m-3 had been travelling along 40° N, and reached International Date Line on March 2012 one year after the accident. A feature was that the radioactive plume was confined along 40° N when the plume reached International Date Line. A zonal speed of the radioactive plume was estimated to be about 8 cm s-1 which was consistent with zonal speeds derived by Argo floats and satellite observations at the region.

Fig. 1. Kaeriyama et al.
Fig. 2. The result of particle tracking experiment at the median date of each sampling period. Red circles indicate pseudo particle and black circles indicate sampling locations. (a) 13 July 2012. (b) 24 October 2011. (c) 15 July 2012.
Table 3 . Concentrations of 134 Cs and 137 Cs in the surface seawater collected during 2 July and 1 August 2012.
Fig. 4. (a) Relationship between concentrations of 137 Cs and seawater temperature at 5 m depth during July 2011 and July 2012. (b) Relationship between concentrations of 137 Cs and latitude.
Direct observation of 134Cs and 137Cs in surface seawater in the western and central North Pacific after the Fukushima Dai-ichi nuclear power plant accident

February 2013

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114 Reads

The horizontal distribution of radioactive cesium (Cs) derived from the Fukushima Dai-ichi Nuclear Power Plant (FNPP) in the North Pacific is still unclear due to the limitation of direct measurement of the seawater in the open ocean. We present the result of direct observation of radioactive Cs in surface seawater collected from broad area in the western and central North Pacific in July, October 2011 and July 2012. We also conducted a simple particle tracking experiment to estimate the qualitative spatial distribution of radioactive Cs in the North Pacific. 134Cs were detected at 94 stations out of 123 stations and 137Cs was detected at all stations. The high 134Cs and 137Cs concentrations more than 10 mBq kg-1 were observed in the area where the northern part of Kuroshio extension at 144° E and 155° E in July 2011, in the area 147° E-175° E around 40° N in October 2011, and the northern part of Kuroshio extension at 155° E and 175° 30´ E in July 2012. Combining the result of direct observations and particle tracking experiment, the radioactive Cs derived from FNPP had been dispersed eastward to the central North Pacific during 2011. It was considered from the horizontal distribution that radioactive Cs was dispersed not only eastward but also north- and southward in the central North Pacific. Pronounced dilution process of radioactive Cs from FNPP during study period is suggested from temporal change in the activity ratio of 134Cs/137Cs which was decay corrected at 6 April 2011, and relationships between radioactive Cs and temperature.

Fig. 5. Comparisons of model-computed and observed 137 Cs concentrations at 1F-N and 1F-S over the period 26 March8 June 2011.
Fig. 13 826
Initial Spread of 137Cs over the shelf of Japan: a study using the high-resolution global-coastal nesting ocean model

February 2013

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68 Reads

The 2011 Tohoku earthquake caused radionuclide 137Cs be directly released into the ocean from the Fukushima Dai-ichi nuclear power plants. A high-resolution global-coastal nesting ocean model was established to simulate the initial spread of 137Cs as conservative tracer over the shelf of Japan after the accident. The major advantage in the current model system is to use unstructured grids to resolve the power plant and the coastal geometry with a grid resolution much higher than that used in previous modeling experiments. Therefore, it gives us an opportunity to examine the necessity whether the detailed structure of the Power plant should be considered for numerical experiment of 137Cs dispersion or not. This could provide us an alternative insight into the physical processes that lead to its spread of 137Cs over the shelf of Japan. Our results suggested that to resolve the dispersion process from the source point to the south and north discharging canal is critical for an accurate prediction of the spread of 137Cs to the 30 km sites off the coast. Moreover, a 2 km grid resolution along Japan coast is probably not high enough to resolve the plume correctly. Finally, the model-data comparison suggested that the physical process associated with the transfer of dissolved 137Cs into the sediment phase could potentially be important and should be considered in the future tracer modeling.

Fig. 1. (a) The artificial harbour facility of the Fukushima Dai-ichi Nuclear Power Plant and TEPCO monitoring points (redrawn from a TEPCO document TEPCO, 2011), (b) possible routes of radioactive water transfer. T1: North discharge gate, ULD: unloading dock, 1-4 N: North of unit 1-4 intake, 1 I: inside unit 1 screen, 1 O: outside unit 1 screen, 2 I: inside unit 2 screen, 2 O: outside unit 2 screen, 3 I: inside unit 3 screen, 3 O: outside unit 3 screen, 4 I: inside unit 4 screen, 4 O: outside unit 4 screen, 1-4 S: South of unit 1-4 intake, T2: South discharge gate.
Fig. 4. (a) 137 Cs radioactivity at ULD in April 2011. Solid line indicates a least square fitting of an exponential curve for the period from 6 April through 19 April. (b) 137 Cs radioactivity at T1 (open circles) and at T2 (closed circles) plotted against radioactivity at ULD for the period from 6 to 19 April. The linear regression lines were obtained by excluding values on 6 April with a slope of 0.125 for T1 and a slope of 0.038 for T2.
Continuing 137Cs release to the sea from the Fukushima Dai-ichi Nuclear Power Plant through 2012

February 2013

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142 Reads

Rate of cesium-137 (137Cs) release to the sea from the Fukushima Dai-ichi Nuclear Power Plant was estimated until September 2012. Based on publicly released data of 137Cs in seawater near the power plant by Tokyo Electric Power Company, a continuing release of radionuclides to the sea is strongly suggested. The plant has an artificial harbour facility, and the exchange rate of harbour water with surrounding seawater was estimated by decrease of radioactivity immediately after an intense event of radioactive water release. The estimated exchange rate of water in the harbour is 0.44 day-1 during the period from 6 to 19 April 2011. 137Cs radioactivity of the harbour water is substantially higher than seawater outside and remained relatively stable after June 2011. A quasi-steady state was assumed with continuous water exchange, and an average release rate of 137Cs was estimated to be 93 GBq day-1 in summer 2011 and 8.1 GBq day-1 in summer 2012.

One-year, regional-scale simulation of 137Cs radioactivity in the ocean following the Fukushima Daiichi Nuclear Power Plant accident

April 2013

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554 Reads

A series of accidents at the Fukushima Dai-ichi Nuclear Power Plant following the earthquake and tsunami of 11 March 2011 resulted in the release of radioactive materials to the ocean by two major pathways, direct release from the accident site and atmospheric deposition. A 1 yr, regional-scale simulation of 137Cs activity in the ocean offshore of Fukushima was carried out, the sources of radioactivity being direct release, atmospheric deposition, and the inflow of 137Cs deposited on the ocean by atmospheric deposition outside the domain of the model. Direct releases of 131I, 134Cs, and 137Cs were estimated for 1 yr after the accident by comparing simulated results and measured activities. The estimated total amounts of directly released 131I, 134Cs, and 137Cs were 11.1 ± 2.2 PBq, 3.5 ± 0.7 PBq, and 3.6 ± 0.7 PBq, respectively. The contributions of each source were estimated by analysis of 131I/137Cs and 134Cs/137Cs activity ratios and comparisons between simulated results and measured activities of 137Cs. Simulated 137Cs activities attributable to direct release were in good agreement with measured activities close to the accident site, a result that implies that the estimated direct release rate was reasonable, while simulated 137Cs activities attributable to atmospheric deposition were low compared to measured activities. The rate of atmospheric deposition onto the ocean was underestimated because of a~lack of measurements of deposition onto the ocean when atmospheric deposition rates were being estimated. Measured 137Cs activities attributable to atmospheric deposition helped to improve the accuracy of simulated atmospheric deposition rates. Simulated 137Cs activities attributable to the inflow of 137Cs deposited onto the ocean outside the domain of the model were in good agreement with measured activities in the open ocean within the model domain after June 2012. The contribution of inflow increased with time and was dominant (more than 99%) by the end of February 2012. The activity of directly released 137Cs, however, decreased exponentially with time and was detectable only in the coastal zone by the end of February 2012.

Fig. 1
Table 1 . Schedule of fertilizer application and water management during the rice season.
Fig. 3. CH 4 production in aerobically incubated paddy soil (a) and rice roots (c), and corresponding δ 13 C-values of CH 4 (b) and (d) at the four rice growth stages. TS: tillering stage, BS: booting stage, FS: grain filling stage, RS: ripening stage. WS: straw incorporation, CK: without straw incorporation. Mean ± SD, n = 3.
Pathway of CH4 production, fraction of CH4 oxidized, and 13C isotope fractionation in a straw incorporated rice field

October 2012

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178 Reads

Straw incorporation generally increases CH4 emission from rice fields, but its effects on the mechanism of CH4 emission, especially on the pathway of CH4 production and the fraction of CH4 oxidized are not well known. To investigate the methanogenic pathway, the fraction of CH4 oxidized as well as the stable carbon isotope fractionation during the oxidation and transport of CH4 as affected by straw incorporation, production and oxidation of CH4 in paddy soil and rice roots and δ13C-values of produced CH4 and CO2, and emitted CH4 were observed in incubation and field experiments. Straw incorporation significantly enhanced CH4 production potentials of the paddy soil and rice roots. However, it increased the relative contribution of acetate to total CH4 production (Fac) in the paddy soil by ~ 10-30%, but decreased Fac-value of the rice roots by ~ 5-20%. Compared with rice roots, paddy soil was more important in acetoclastic methanogenesis, with Fac-value being 6-30% higher. Straw incorporation highly decreased the fraction of CH4 oxidized (Fox) by 41-71%, probably attributed to the fact that it increased CH4 oxidation potential whereas CH4 production potential was increased to a larger extent. There was little CH4 formed during aerobic incubation, and the produced CH4 was more 13C-enriched relative to that of anaerobic incubation. Assuming δ13C-values of CH4 aerobically produced in paddy soil to be the δ13C-values of residual CH4 after being oxidized, Fox-value still appeared to be 45-68% lower when straw was incorporated. Oxidation fractionation factor (αox) was higher with straw incorporation (1.033) than without straw incorporation (1.025). The δ13C-values of CH4 emitted after cutting of the plants (-50--43‰) were more positive than those of before (-58--55‰), suggesting a transport fractionation factor (&varepsilon;transport) was -8.0‰ with straw incorporation and -12.0‰ without straw incorporation. Reasons for this difference may be related to the decrease in growth of the rice crop as a result of straw incorporation. The experiment shows that straw incorporation increases the contribution of acetate to total methanogenesis in paddy soil but decreases it on rice roots, and it significantly decreases the fraction of CH4 oxidized in the field, and expands oxidation fractionation while reducing transport fractionation.

Fig. 3. Bathymodiolus azoricus gill tissue tFA ( n = 3, average ± min-max) 13 C incorporation per total PLFA content after a 20 day supply 
Tracing carbon assimilation in endosymbiotic deep-sea hydrothermal vent Mytilid fatty acids by 13C-fingerprinting

September 2010

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88 Reads

Bathymodiolus azoricus mussels thrive at Mid-Atlantic Ridge hydrothermal vents, where part of their energy requirements are met via an endosymbiotic association with chemolithotrophic and methanotrophic bacteria. In an effort to describe phenotypic characteristics of the two bacterial endosymbionts and to assess their ability to assimilate CO2, CH4 and multi-carbon compounds, we performed experiments in aquaria using 13C-labeled NaHCO3 (in the presence of H2S), CH4 or amino-acids and traced the incorporation of 13C into total and phospholipid fatty acids (tFA and PLFA, respectively). 14:0; 15:0; 16:0; 16:1(n − 7)c+t; 18:1(n − 13)c+t and (n − 7)c+t; 20:1(n − 7); 20:2(n − 9,15); 18:3(n − 7) and (n − 5,10,13) PLFA were labeled in the presence of H13CO3− (+H2S) and 13CH4, while the 12:0 compound became labeled only in the presence of H13CO3− (+H2S). In contrast, the 17:0; 18:0; 16:1(n − 9); 16:1(n − 8) and (n − 6); 18:1(n − 8); and 18:2(n − 7) PLFA were only labeled in the presence of 13CH4. Some of these symbiont-specific fatty acids also appeared to be labeled in mussel gill tFA when incubated with 13C-enriched amino acids, and so were mussel-specific fatty acids such as 22:2(n − 7,15). Our results provide experimental evidence for the potential of specific fatty acid markers to distinguish between the two endosymbiotic bacteria, shedding new light on C1 and multi-carbon compound metabolic pathways in B. azoricus and its symbionts.

Fig. 1. Precipitation, soil moisture at 15 and 30 cm depth, soil temperature at 5 cm depth and soil CO 2 efflux measured in drought and control plots during a litter addition experiment in 2007. Means and standard errors for soil CO 2 effluxes of three plots.
Fig. 2. δ 13 C values of soil CO 2 efflux for control and for drought plots and proportion of litter-derived CO 2 from the total soil CO 2 efflux in per cent for drought and control plots during a litter addition experiment in 2007. Means and standard errors of three plots.
Fig. 3. Litter-and belowground-derived CO 2 efflux (F Litter and F BG ) during a litter addition experiment in 2007. Means and standard errors of three plots.
Summer drought reduces total and litter-derived soil CO 2 effluxes in temperate grassland - Clues from a 13C litter addition experiment

March 2010

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208 Reads

Current climate change models predict significant changes in rainfall patterns across Europe. To explore the effect of drought on soil CO<sub>2</sub> efflux ( F <sub>Soil</sub>) and on the contribution of litter to F <sub>Soil</sub> we used rain shelters to simulate a summer drought (May to July 2007) in an intensively managed grassland in Switzerland by reducing annual precipitation by around 30% similar to the hot and dry year 2003 in Central Europe. We added <sup>13</sup>C-depleted as well as unlabelled grass/clover litter to quantify the litter-derived CO<sub>2</sub> efflux ( F <sub>Litter</sub>). Soil CO<sub>2</sub> efflux and the <sup>13</sup>C/<sup>12</sup>C isotope ratio (δ<sup>13</sup>C) of the respired CO<sub>2</sub> after litter addition were measured during the growing season 2007. Drought significantly decreased F <sub>Soil</sub> in our litter addition experiment by 59% and F <sub>Litter</sub> by 81% during the drought period itself (May to July), indicating that drought had a stronger effect on the CO<sub>2</sub> release from litter than on the belowground-derived CO<sub>2</sub> efflux ( F <sub>BG</sub>, i.e. soil organic matter (SOM) and root respiration). Despite large bursts in respired CO<sub>2</sub> induced by the rewetting after prolonged drought, drought also reduced F <sub>Soil</sub> and F <sub>Litter</sub> during the entire <sup>13</sup>C measurement period (April to October) by 26% and 37%, respectively. Overall, our findings show that drought decreased F <sub>Soil</sub> and altered its seasonality and its sources. Thus, the C balance of temperate grassland soils respond sensitively to changes in precipitation, a factor that needs to be considered in regional models predicting the impact of climate change on ecosystems C balance.

Satellite views of the seasonal and inter-annual variability of phytoplankton blooms in the eastern China seas over the past 14 yr (1998-2011)

January 2013

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434 Reads

The eastern China seas are one of the largest marginal seas in the world, where high primary productivity and phytoplankton blooms are often observed. However, to date, little is known about the spatial and temporal variability of phytoplankton blooms in these areas due to the difficulty of the monitoring of bloom events by field measurement. In this study, 14-yr time series of satellite ocean color data from the Sea-Viewing Wide Field-of-view Sensor (SeaWiFS) and the Moderate Resolution Imaging Spectroradiometer (MODIS) onboard the Aqua satellite have been used to investigate the seasonal and inter-annual variability and long-term changes of phytoplankton blooms in the eastern China seas. We validated and calibrated the satellite-derive chlorophyll concentration in the eastern China seas based on extensive data sets from two large cruises. Overestimation of satellite-derive chlorophyll concentration caused by high water turbidity was found to be less than 10 μg L-1. This level can be used as a safe threshold for the identification of a phytoplankton bloom in a marginal sea with turbid waters. Annually, blooms mostly occur in the Changjiang Estuary and along the coasts of Zhejiang. The coasts of the northern Yellow Sea and Bohai Sea also have high-frequency blooms. The blooms have significant seasonal variation, with most of the blooms occurring in the spring (April-June) and summer (July-September). This study revealed a doubling in bloom intensity in the Yellow Sea and Bohai Sea during the past 14 yr (1998-2011), yet surprisingly, there has been no decadal increase or decrease of bloom intensity in despite of significant inter-annual variation in the Changjiang Estuary. The time series in situ datasets show that both the nitrate and phosphate concentrations increase more than twofold from 1998 to 2005. This might be the reason for the doubling of bloom intensity in the Yellow Sea and Bohai Sea. In addition, the ENSO and PDO can affect the inter-annual variation of bloom intensity in the eastern China seas.

Fig. 1. Formation of Fe(II) and CH 4 and consumption of sulfate in anoxic microcosms of soil obtained from the lowland fen (0-10 cm depth) in September 2001. Presented are the averages ± standard deviations of triplicates.
Fig. 2. Effect of the consumption of supplemental electron donors (a) on the formation of Fe(II) (b) and formation of CH 4 (c) in anoxic microcosms of soil obtained from the lowland fen (0-10 cm) in March, 2002. Presented are the averages ± standard deviations of triplicates.
Fig. 4. Detailed porewater depth profiles of Fe(II) (a) and acetate (b) in the lowland fen sampled in July, September, and November 2001, and in January 2002.
Fig. 5. Phylogenetic tree showing the relative positions of Acidiphilium-affiliated 16S rRNA gene sequences derived from the lowland fen soil (0-10 cm) obtained in October 2003. Sequences were added to the existing tree without changing the overall tree topology by using the ARB treeing tool PARSIMONY INTERAKTIV. Names and accession numbers (between bracktes) for closest relatives 16S rRNA gene sequences are given. The bar indicates 10% sequence divergence.
Küsel K, Blothe M, Schulz D, Reiche M, Drake HL.. Microbial reduction of iron and porewater biogeochemistry in acidic peatlands. Biogeosciences 5: 1537-1549

November 2008

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119 Reads

Temporal drying of upper soil layers of acidic methanogenic peatlands might divert the flow of reductants from CH<sub>4</sub> formation to other electron-accepting processes due to a renewal of alternative electron acceptors. In this study, we evaluated the in situ relevance of Fe(III)-reducing microbial activities in peatlands of a forested catchment that differed in their hydrology. Intermittent seeps reduced sequentially nitrate, Fe(III), and sulfate during periods of water saturation. Due to the acidic soil conditions, released Fe(II) was transported with the groundwater flow and accumulated as Fe(III) in upper soil layers of a lowland fen apparently due to oxidation. Microbial Fe(III) reduction in the upper soil layer accounted for 26.7 and 71.6% of the anaerobic organic carbon mineralization in the intermittent seep and the lowland fen, respectively. In an upland fen not receiving exogenous Fe, Fe(III) reduction contributed only to 6.7%. Fe(II) and acetate accumulated in deeper porewater of the lowland fen with maximum concentrations of 7 and 3 mM, respectively. Both supplemental glucose and acetate stimulated the reduction of Fe(III) indicating that fermentative, incomplete, and complete oxidizers were involved in Fe(II) formation in the acidic fen. Amplification of DNA yielded PCR products specific for Acidiphilium- , Geobacter- , and Geothrix- , but not for Shewanella- or Anaeroromyxobacter -related sequences. Porewater biogeochemistry observed during a 3-year-period suggests that increased drought periods and subsequent intensive rainfalls due to global climate change will further favor Fe(III) and sulfate as alternative electron acceptors due to the storage of their reduced compounds in the soil.

Technical Note: Simultaneous measurement of sedimentary N2 and N2O production and new 15N isotope pairing technique

April 2013

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132 Reads

Dinitrogen (N2) and/or nitrous oxide (N2O) are produced through denitrification, anaerobic ammonium oxidation (anammox) or nitrification in sediments, of which entangled processes obfuscate the absolute rate estimation of gaseous nitrogen production from individual pathway. Recently, the classical isotope pairing technique (IPT), the most common 15N-nitrate enrichment method to quantify denitrification, has been modified by different researchers to (1) discriminate relative contribution of N2 production by denitrification from anammox or to (2) provide more accurate denitrification rate by considering both N2O and N2 productions. Both modified methods, however, have deficiencies such as overlooking N2O production in case 1 and neglecting anammox in case 2. In this paper, a new method was developed to refine previous methods. We installed cryogenic traps to pre-concentrate N2 and N2O separately, thus, allowing simultaneous measurement for two gases generated by one sample. The precision is better than 2% for N2 (m/z 28, m/z 29 and m/z 30), and 1.5% for N2O (m/z 44, m/z 45 and m/z 46). Based on the six m/z peaks of the two gases, we further revised IPT formulae to truthfully resolve the production rates of N2 and N2O contributed from 3 specific nitrogen removal processes, i.e. N2 and N2O from denitrification, N2 from anammox and N2O from nitrification. To validate the applicability of our new method, incubation experiments were conducted using sediment cores taken from the Danshuei estuary in Taiwan. We successfully determined the rates of aforementioned nitrogen removal processes. Moreover, N2O yield was as high as 66%, which no doubt would significantly bias previous IPT approaches when N2O was not considered. Our new method not only complements the previous IPT but also provides more comprehensive information to advance our understanding of nitrogen dynamics through the water-sediment interface.

Fig. 1. (A) Schematic outline of the experimental setup, including equilibration columns for preparation of the different CO 2 enriched air mixtures, gas mixer, alga addition and exposure bottles. (B) Illustration of the bottles used for the exposure, including water-inlet, water- outlet and air holes. (C) Illustration of the columns used for equilibration of the water, including outer and inner tube, submersible pump, and air stone introducing the different CO 2 enriched air mixtures into the water. 
Fig. 2. Mortality recorded after 28-day exposure to different levels of CO 2 -acidified seawater. The bars show mean ± 1 std and signifi- 
Fig. 3. Stage distribution (percentage) of the copepodites exposed to different levels of CO 2 -acidified seawater. Three replicate groups at each exposure level. The bars show mean ± 1 std. Significant differences ( p < 0 . 05) between the experimental groups are indicated by asterisks (*). 
Fig. 4. Stage-specific prosome and lipid content (volume %) of the animals following 28-day exposure to different levels of CO 2 -acidified seawater. The bars indicate mean ± 1 std ( n = 3), and significant differences ( p < 0 . 05) between control and exposed groups are indicated by asterisks (*). The total number of individuals measured in the experiment was CIII = 43, CIV = 254, CV = 610. 
Chronic exposure of the North Atlantic copepod Calanus finmarchicus (Gunnerus, 1770) to CO2-acidified seawater; effects on survival, growth and development

March 2013

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159 Reads

The impact of chronic exposure to CO2-acidified seawater on survival, growth and development was investigated in the North Atlantic copepod Calanus finmarchicus. Using a custom developed microcosm system fertilized eggs and subsequent development stages were exposed to normal seawater (390 ppm CO2) or one of three different levels of CO2-induced acidification (3300, 7300, 9700 ppm CO2). Following the 28 day exposure period survival was found to be unaffected by exposure to 3300 ppm CO2, but significantly reduced at 7300 and 9700 ppm CO2. Also, the proportion of copepodite stages IV to VI observed in the different treatments was significantly affected in a manner that may indicate a CO2-induced retardation of the rate of ontogenetic development. Morphometric analysis revealed a significant increase in size (prosome length) and lipid storage volume in stage IV copepodites exposed to 3300 ppm CO2 and reduced size in stage III copepodites exposed to 7300 ppm CO2. Together, the findings indicate that a pCO2 level ≤2000 ppm (the highest CO2 level expected within year 2300) will probably not directly affect survival in C. finmarchicus. Long-term experiments at more moderate CO2 levels are however necessary before the possibility that growth and development may be affected below ≤2000 ppm CO2 can be ruled out.

Fig. 1. Successful fertilization in Strongylocentrotus droebachiensis. (a-d) represent the common states of eggs/zygotes grouped within "Perfect Fertilization Envelope formation (PFE)"; (ef) show two of the features included in "Hyaline Blebbing (HB)" and (g-i) illustrate eggs/zygotes belonging to the category "Partial Lifting-Off of FE (PLO)". 100× magnification used.
Fig. 2. Unsuccessful fertilization in Strongylocentrotus droebachiensis. (a) represents the eggs grouped in the category "Not Fertilized (NFert)"; (b-c) eggs/zygotes classified as "Polyspermic with No FE formation (NFE)"; (d-i) illustrate the aberrations included in "Polyspermic with FE formation (WFE)". Note polyspermic eggs/zygotes showing sperms within the FE in (h-i). 100× magnification used.
Fig. 3. (i) Fertilization success of Strongylocentrotus droebachiensis (SF, grey bars and UF, black bars) at six different pCO 2 treatment. Values are expressed as mean ±SD and capital letters indicate statistically significant differences between pH-pCO 2 (a/A, p < 0.001) and FtPI.t (b/B, p < 0.01) levels (post-hoc pairwise comparison, N = 255). (ii) (WOPI) without preincubation approach (N = 146). (iii) (WIPI) with pre-incubation approach (N = 109).
Table 3 .
Fig. 5. (a) Impact of CO 2-simulated OA on the development of Strongylocentrotus droebachiensis, (24 h post-fertilization) under six pCO 2 treatments (NB-3000 µatm). (b) Details of zygote movements at 180 and 1400 µatm treatments after 48 h. (c) Normal development after 72 h under 980 µatm. (d) Morphological details of archenteron (arrowheads) in delayed development at 1400 µatm (i-ii) vs. normal development after water equilibration (iii-iv).
Fertilization success of an arctic sea urchin species, Strongylocentrotus droebachiensis (O. F. Müller, 1776) under CO2-induced ocean acidification

May 2013

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169 Reads

Sea urchins as broadcasting spawners, release their gametes into open water for fertilization, thus being particularly vulnerable to ocean acidification. In this study, we assessed the effects of different pH scenarios on fertilization success of Strongylocentrotus droebachiensis, collected at Spitsbergen, Arctic. We achieved acidification by bubbling CO2 into filtered seawater using partial pressures (pCO2) of 180, 380, 980, 1400 and 3000 μatm}. Untreated filtered seawater was used as control. We recorded fertilization rates and diagnosed morphological aberrations after post-fertilization periods of 1 h and 3 h under different exposure conditions in experiments with and without pre-incubation of the eggs prior to fertilization. In parallel, we conducted measurements of intracellular pH changes using BCECF/AM in unfertilized eggs exposed to a range of acidified seawater. We observed increasing rates of polyspermy in relation to higher seawater pCO2, which might be due to failures in the formation of the fertilization envelope. In addition, our experiments showed anomalies in fertilized eggs: incomplete lifting-off of the fertilization envelope and blebs of the hyaline layer. Other drastic malformations consisted of constriction, extrusion, vacuolization or degeneration (observed as a gradient from the cortex to the central region of the cell) of the egg cytoplasm, and irregular cell divisions until 2- to 4-cell stages. The intracellular pH (pHi) decreased significantly from 1400 μatm on. All results indicate a decreasing fertilization success at CO2 concentrations from 1400 μatm upwards. Exposure time to low pH might be a threatening factor for the cellular buffer capacity, viability, and development after fertilization.

Fig. 1. Sampling location of multicore 1MC-3 during cruise BASIN 2004 (34 @BULLET 13.41 N, 12 @BULLET 01.53 W; water depth: 588 m). Arrows denote flow directions of California Current (blue) and California Counter Current (red). Counterclockwise circulation inside the Santa Barbara Basin is indicated by black arrows.  
Figure 2  
Fig. 3. (a) Relative abundances of six selected coccolithophore species in core B from multicore 1MC-3, cruise BASIN 2004. (b) PDO index (Mantua et al., 1997; Zhang et al., 1997) (data available at http://jisao.washington.edu/pdo/PDO.latest) and extended NINO3 index (Kaplan et al., 1998; Reynolds et al., 2002). (c) Reconstructed seasonality for the six selected coccolithophores species determined from the ultra-high resolution record of core B.
Figure 4
Coccolithophore response to climate and surface hydrography in Santa Barbara Basin, California, AD 1917–2004

October 2008

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91 Reads

The varved sedimentary AD 1917–2004 record from the depositional center of the Santa Barbara Basin (SBB, California) was analyzed with monthly to annual resolution to yield relative abundances of six coccolithophore species representing at least 96% of the coccolithophore assemblage. Seasonal/annual relative abundances respond to climatic and surface hydrographic conditions in the SBB, whereby (i) the three species G. oceanica, H. carteri and F. profunda are characteristic of the strength of the northward flowing warm California Counter Current, (ii) the two species G. ericsonii and G. muellerae are associated with the cold equatorward flowing California Current, (iii) and E. huxleyi appears to be endemic to the SBB. Spectral analyses on relative abundances of these species show that all are influenced by the El Niño Southern Oscillation (ENSO) and/or by the Pacific Decadal Oscillation (PDO). Increased relative abundances of G. oceanica and H. carteri are associated with warm ENSO events, G. muellerae responds to warm PDO events, and the abundance of G. ericsonii increases during cold PDO events. Morphometric parameters measured on E. huxleyi, G. muellerae and G. oceanica indicate increasing coccolithophore calcification from ~1917 until 2004 concomitant with rising pCO2 and sea surface temperature in the region of the SBB.

Fig. 1. The study area on the Sanjiang Plain of Northeast China, covering 23 counties and 3 administrative farms.
Fig. 3. Observed vs. simulated CH 4 emissions from Deyeuxia angustifolia site (June 2002December 2004) and Carex lasiocarpa site (June 2002-December 2005) on the Sanjiang Plain. (a) CH4 fluxes, dashed lines are 95 % confidence limits. (b) Total amount of annual/seasonal CH 4 emissions, dashed line is 1 : 1, the vertical bars are standard deviations from 3 sampling replicates.
Fig. 4. Conversion of marshland to cropland on the Sanjiang Plain.
Methane emissions associated with the conversion of marshland to cropland and climate change on the Sanjiang Plain of Northeast China from 1950 to 2100

May 2012

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104 Reads

Wetland loss and climate change are known to alter regional and global methane (CH4) budgets. Over the last six decades, an extensive area of marshland has been converted to cropland on the Sanjiang Plain in Northeast China, and a significant increase in air temperature has also been observed there, while the impacts on regional CH4 budgets remain uncertain. Through model simulation, we estimated the changes in CH4 emissions associated with the conversion of marshland to cropland and climate change in this area. Model simulations indicated a significant reduction of 1.1 Tg yr-1 from the 1950s to the 2000s in regional CH4 emissions. The cumulative reduction of CH4 from 1960 to 2009 was estimated to be ~36 Tg relative to the 1950s, and marshland conversion and the climate contributed 86 % and 14 % of this change, respectively. Interannual variation in precipitation (linear trend with P > 0.2) contributed to yearly fluctuations in CH4 emissions, but the relatively lower amount of precipitation over the period 1960-2009 (47 mm yr-1 lower on average than in the 1950s) contributed ~91 % of the reduction in the area-weighted CH4 flux. Global warming at a rate of 0.3 °C per decade (P < 0.001) has increased CH4 emissions significantly since the 1990s. Relative to the mean of the 1950s, the warming-induced increase in the CH4 flux has averaged 19 kg ha-1 yr-1 over the last two decades. For the RCP 2.6, RCP 4.5, RCP 6.0 and RCP 8.5 scenarios of the fifth IPCC assessment report (AR5), the CH4 flux is predicted to increase by 36 %, 52 %, 78 % and 95 %, respectively, by the 2080s compared to 1961-1990 in response to climate warming and wetting.

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