Stable carbon and oxygen isotope composition of benthic foraminifera

Seventeen surface sediment samples from the North Atlantic Ocean off NE-Greenland between 76° and 81°N, and nine samples from the South Atlantic Ocean close to Bouvet Island between 48° and 55°S were taken with the aid of a Multiple Corer and investigated for their live (Rose Bengal stained) benthic foraminiferal content within the upper 15 cm of sediment. Preferentially endobenthic Melonis barleeanum, Melonis zaandami, and Bulimina aculeata as well as preferentially epibenthic Lobatula lobatula were counted from 1-cm-thick sediment slices each and analyzed for stable carbon and oxygen isotopic compositions of their calcareous tests. Live and dead specimens were counted and measured separately. The carbon isotopic composition of the foraminifera was compared to that of the dissolved inorganic carbon (DIC) of simultaneously sampled bottom water. During a period of one month, one station off NE-Greenland was replicately sampled once every week and samples were processed as above. Live specimens of Lobatula lobatula are confined to the uppermost two centimeters of sediment. Live specimens of Melonis spp. are found down to 8 cm within the sediment but with a distinct sub-surface maximum between 2 and 5 cm. The down-core distribution of live Bulimina aculeata shows a distinct surface maximum in the top centimeter and constant but low numbers down to 11-cm subbottom depth. The average stable carbon isotopic composition (d13C versus per mil PDB) of live Lobatula lobatula off NE-Greenland is by 0.4±0.1 per mil higher than the d13CDIC of the ambient bottom water at the time of sampling. There is evidence that this species calcify before the ice-free season, when bottom water d13CDIC is supposed to be higher. This would reconfirm the one-to-one relationship between d13C of ambient water DIC and cibicids, widely used by paleoceanographers. Live Melonis barleeanum show a negative offset from bottom water DIC of -1.7±0.6 per mil in the uppermost sediment and of -2.2±0.5 per mil in 3-4-cm subbottom depth. All d13C values of live Melonis spp. decrease within the upper four centimeters, regardless of the time of sampling and site investigated. The offset of live Bulimina aculeata from bottom water d13CDIC values of 8 stations rather constantly amounts to -0.6±0.1 per mil, no matter what subbottom depth the specimens are from. At one station however, where is strong indication of elevated organic carbon flux, the negative offset averaged over all sub-bottom depths increases to -1.5±0.2 per mil. Buliminids actively move within the sediment and by this either record an average isotope signal of the pore water or the signal of one specific calcification depth. The recorded signal, however, depends on the organic carbon flux and reflects general but site-specific pore water d13CDIC values. If compared with epibenthic d13C values from the same site, not influenced by pore water and related phytodetritus layer effects, Buliminad13C values bear some potential as a paleoproductivity proxy. Specimens of Melonis spp. seem to prefer a more static way of life and calcify at different but individually fix depths within the sediment. Although live specimens thus record a stratified pore water d13C signal, there is no means yet to correct for bioturbational and early diagenetic effects in fossil faunas.

Sinking rates of particles measured from deployments in the Atlantic Ocean based on seasonal data

The flux of materials to the deep sea is dominated by larger, organic-rich particles with sinking rates varying between a few meters and several hundred meters per day. Mineral ballast may regulate the transfer of organic matter and other components by determining the sinking rates, e.g. via particle density. We calculated particle sinking rates from mass flux patterns and alkenone measurements applying the results of sediment trap experiments from the Atlantic Ocean. We have indication for higher particle sinking rates in carbonate-dominated production systems when considering both regional and seasonal data. During a summer coccolithophorid bloom in the Cape Blanc coastal upwelling off Mauritania, particle sinking rates reached almost 570 m per day, most probably due the fast sedimentation of densely packed zooplankton fecal pellets, which transport high amounts of organic carbon associated with coccoliths to the deep ocean despite rather low production. During the recurring winter-spring blooms off NW Africa and in opal-rich production systems of the Southern Ocean, sinking rates of larger particles, most probably diatom aggregates, showed a tendency to lower values. However, there is no straightforward relationship between carbonate content and particle sinking rates. This could be due to the unknown composition of carbonate and/or the influence of particle size and shape on sinking rates. It also remains noticeable that the highest sinking rates occurred in dust-rich ocean regions off NW Africa, but this issue deserves further detailed field and laboratory investigations. We obtained increasing sinking rates with depth. By using a seven-compartment biogeochemical model, it was shown that the deep ocean organic carbon flux at a mesotrophic sediment trap site off Cape Blanc can be captured fairly well using seasonal variable particle sinking rates. Our model provides a total organic carbon flux of 0.29 Tg per year down to 3000 m off the NW African upwelling region between 5 and 35° N. Simple parameterisations of remineralisation and sinking rates in such models, however, limit their capability in reproducing the flux variation in the water column.

Organic carbon and biomarker record from the Laptev Sea continental margin

In order to understand the processes controlling organic carbon deposition (i.e., primary productivity vs. terrigenous supply) and their paleoceanographic significance, three sediment cores (PS2471, PS2474. and PS2476) from the Laptev Sea continental margin were investigated for their content and composition of organic carbon. The characterization of organic matter indudes the determination of buk parameters (hydrogen index values and C/N ratios) and the analysis of specific biomarkers (n-alaknes, fatty acids, alkenones, and pigments). Total organic carbon (TOC) values vary between 0.3 and 2%. In general, the organic matter from the Laptev Sea continental margin is dominated by terrigenous matter throughout. However. significant amounts of marine organic carbon occur. The turbidites, according to a still preliminary stratigraphy probably deposited during glacial Oxygen Isotope Stages 2 and 4, are characterized by maximum amounts of organic carbon of terrigenous origin. Marine organic carbon appears to show enhanced relative abundances in the Termination I (?) and early Holocene time intervals, as indicated by maximum amounts of short chain n-alkanes, short-chain fatty acids, and alkenones. The increased amounts of faity acids, however, may also have a freshwater origin due to increased river discharge at that time. The occurrence of alkenones is suggested to indicate an intensification of Atlantic water inflow along the Eurasian continental margin starting at that time. Oxygen Isotope Stage l accumutation rates of total organic carhon are 0.3, 0.17, and 0.02 C/cm**2/ky in cores PS2476, PS2474, and PS2471, respectively.

Particle flux in the NE Atlantic as recorded by sediment traps

Downward particle flux was measured using sediment traps at various depths over the Porcupine Abyssal Plain (water depth ab. 4850 m) for prolonged periods from 1989 to 1999. A strong seasonal pattern of flux was evident reaching a maximum in mid-summer. The composition of the material changed with depth, reflecting the processes of remineralisation and dissolution as the material sank through the water column. However, there was surprisingly little seasonal variation in its composition to reflect changes in the biology of the euphotic zone. Currents at the site have a strong tidal component with speeds almost always less than 15 cm/sec. In the deeper part of the water column they tend to be northerly in direction, when averaged over periods of several months. A model of upper ocean biogeochemistry forced by meteorology was run for the decade in order to provide an estimate of flux at 3000 m depth. Agreement with measured organic carbon flux is good, both in terms of the timings of the annual peaks and in the integrated annual flux. Interannual variations in the integrated flux are of similar magnitude for both the model output and sediment trap measurements, but there is no significant relationship between these two sets of estimates. No long-term trend in flux is evident, either from the model, or from the measurements. During two spring/summer periods, the marine snow concentration in the water column was assessed by time-lapse photography and showed a strong peak at the start of the downward pulse of material at 3000 m. This emphasises the importance of large particles during periods of maximum flux and at the start of flux peaks. Time lapse photographs of the seabed show a seasonal cycle of coverage of phytodetrital material, in agreement with the model output both in terms of timing and magnitude of coverage prior to 1996. However, after a change in the structure of the benthic community in 1996 no phytodetritus was evident on the seabed. The model output shows only a single peak in flux each year, whereas the measured data usually indicated a double peak. It is concluded that the observed double peak may be a reflection of lowered sediment trap efficiency when flux is very high and is dominated by large marine snow particles. Resuspension into the trap 100 m above the seabed, when compared to the primary flux at 3000 m depth (1800 mab) was lower during periods of high primary flux probably because of a reduction in the height of resuspension when the material is fresh. At 2 mab, the picture is more complex with resuspension being enhanced during the periods of higher flux in 1997, which is consistent with this hypothesis. However there was rather little relationship to flux at 3000 m in 1998. At 3000 m depth, the Flux Stability Index (FSI), which provides a measure of the constancy of the seasonal cycle of flux, exhibited an inverse relationship with flux, such that the highest flux of organic carbon was recorded during the year with the greatest seasonal variation.

(Table 3) Oxygen and carbon isotopic record of living (Rose Bengal Stained) benthic foraminifera of North Atlantic surface sediments

Variation of the d13C of living (Rose Bengal stained) deep-sea benthic foraminifera is documented from two deep-water sites (~2430 and ~3010 m) from a northwest Atlantic Ocean study area 275 km south of Nantucket Island. The carbon isotopic data of Hoeglundina elegans and Uvigerina peregrina from five sets of Multicorer and Soutar Box Core samples taken over a 10-month interval (March, May, July, and October 1996 and January 1997) are compared with an 11.5 month time series of organic carbon flux to assess the effect of organic carbon flux on the carbon isotopic composition of dominant taxa. Carbon isotopic data of Hoeglundina elegans at 3010 m show 0.3 per mil lower mean values following an organic carbon flux maximum resulting from a spring phytoplankton bloom. This d13C change following the spring bloom is suggested to be due to the presence of a phytodetritus layer on the seafloor and the subsequent depletion of d13C in the pore waters within the phytodetritus and overlying the sediment surface. Carbon isotopic data of H. elegans from the 2430 m site show an opposite pattern to that found at 3010 m with a d13C enrichment following the spring bloom. This different pattern may be due to spatial variation in phytodetritus deposition and resuspension or to a limited number of specimens recovered from the March 1996 cruise. The d13C of Uvigerina peregrina at 2430 m shows variation over the 10 month interval, but an analysis of variance shows that the variability is more consistent with core and subcore variability than with seasonal changes. The isotopic analyses are grouped into 100 µm size classes on the basis of length measurements of individual specimens to evaluate d13C ontogenetic changes of each species. The data show no consistent patterns between size classes in the d13C of either H. elegans or U. peregrina. These results suggest that variation in organic carbon flux does not preferentially affect particular size classes, nor do d13C ontogenetic changes exist within the >250 to >750 µm size range for these species at this locality. On the basis of the lack of ontogenetic changes a range of sizes of specimens from a sample can be used to reconstruct d13C in paleoceanographic studies. The prediction standard deviation, which is composed of cruise, core, subcore, and residual (replicate) variability, provides an estimate of the magnitude of variability in fossil d13C data; it is 0.27 per mil for H. elegans at 3010 m and 0.4 per mil for U. peregrina at the 2430 m site. Since these standard deviations are based on living specimens, they should be regarded as minimum estimates of variability for fossil data based on single specimen analyses. Most paleoceanographic reconstructions are based on the analysis of multiple specimens, and as a result, the standard error would be expected to be reduced for any particular sample. The reduced standard error resulting from the analysis of multiple specimens would result in the seasonal and spatial variability observed in this study having little impact on carbon isotopic records.

Stable carbon and oxygen isotope ratios of benthic foraminifera from the East Atlantic Ocean

The glacial to interglacial delta13C records of the benthic foraminifera Cibicidoides wuellerstorfi and the Uvigerina peregrina group from deep-sea cores cannot be adjusted by a generally valid constant. The delta13C values of the U. peregrina group largely correlate with the accumulation rates of organic carbon, suggesting a local "habitat effect"; those of C. wuellerstorfi vary independently with respect to the carbon flux and record fluctuations in the delta13C of the ambient bottom water isotopic composition.

Flux data in the Southern Ocean

Since 1983 time-series traps have been deployed in the Atlantic sector of the Southern Ocean to measure the flux of organic carbon, biogenic silica and carbonate. The organic carbon flux data are used to calculate primary production rates and organic carbon fluxes at 100 m water depth. From these calculations, annual primary production rates range from about 170 g C m**-2 in the coastal area (Bransfield Strait) to almost zero in the Permanent Sea-Ice Zone. High rates (of about 80 g C m**-2 year**-1 ) were calculated for the Polar Front Zone and rather low values (about 20 g C m**-2 year**-1 ) characterize the Maud Rise area. The estimated primary production for the entire Southern Ocean (south of 50°S), using various subsystems with characteristic carbon fluxes, is in the order of 1 * 10**9tons year**-1; the organic carbon flux out of the photic layer is 0.17 * 10**9tons year**-1. Our calculation of the Southern Ocean total annual primary production is substantially lower than previously reported values.

Spatial modeling of data with excessive zeros applied to reindeer pellet-group counts

We analyze a real data set pertaining to reindeer fecal pellet-group counts obtained from a survey conducted in a forest area in northern Sweden. In the data set, over 70% of counts are zeros, and there is high spatial correlation. We use conditionally autoregressive random effects for modeling of spatial correlation in a Poisson generalized linear mixed model (GLMM), quasi-Poisson hierarchical generalized linear model (HGLM), zero-inflated Poisson (ZIP), and hurdle models. The quasi-Poisson HGLM allows for both under- and overdispersion with excessive zeros, while the ZIP and hurdle models allow only for overdispersion. In analyzing the real data set, we see that the quasi-Poisson HGLMs can perform better than the other commonly used models, for example, ordinary Poisson HGLMs, spatial ZIP, and spatial hurdle models, and that the underdispersed Poisson HGLMs with spatial correlation fit the reindeer data best. We develop R codes for fitting these models using a unified algorithm for the HGLMs. Spatial count response with an extremely high proportion of zeros, and underdispersion can be successfully modeled using the quasi-Poisson HGLM with spatial random effects.

Regional contingencies in the relationship between aboveground biomass and litter in the world’s grasslands

Based on regional-scale studies, aboveground production and litter decomposition are thought to positively covary, because they are driven by shared biotic and climatic factors. Until now we have been unable to test whether production and decomposition are generally coupled across climatically dissimilar regions, because we lacked replicated data collected within a single vegetation type across multiple regions, obfuscating the drivers and generality of the association between production and decomposition. Furthermore, our understanding of the relationships between production and decomposition rests heavily on separate meta-analyses of each response, because no studies have simultaneously measured production and the accumulation or decomposition of litter using consistent methods at globally relevant scales. Here, we use a multi-country grassland dataset collected using a standardized protocol to show that live plant biomass (an estimate of aboveground net primary production) and litter disappearance (represented by mass loss of aboveground litter) do not strongly covary. Live biomass and litter disappearance varied at different spatial scales. There was substantial variation in live biomass among continents, sites and plots whereas among continent differences accounted for most of the variation in litter disappearance rates. Although there were strong associations among aboveground biomass, litter disappearance and climatic factors in some regions (e.g. U.S. Great Plains), these relationships were inconsistent within and among the regions represented by this study. These results highlight the importance of replication among regions and continents when characterizing the correlations between ecosystem processes and interpreting their global-scale implications for carbon flux. We must exercise caution in parameterizing litter decomposition and aboveground production in future regional and global carbon models as their relationship is complex.

Fluxo de carbono orgânico particulado e dissolvido no estuário do rio Barra Grande em Vila Dois Rios, Ilha Grande, RJ.

Os estuários são ambientes costeiros semifechados, que atuam como um sítio de troca de água e de matéria. De acordo com suas características, estuários podem exportar ou importar matéria orgânica (MO). A MO é um complexo bioquímico formado por diversos compostos orgânicos, e sua quantificação é normalmente traduzida pela quantidade de carbono orgânico total (COT), seu elemento mais abundante, tanto na forma de carbono orgânico dissolvido (COD), quanto carbono orgânico particulado (COP). Determinar a origem do carbono orgânico pode auxiliar na compreensão da dinâmica da MO, podendo ser feita com auxílio de isótopos estáveis de carbono (13C) e de nitrogênio (15N). Vila Dois Rios, é um vilarejo localizado ao sul da Ilha Grande, onde se localiza o rio Barra Grande, que possui pouca intervenção antrópica. Esse é um rio de porte pequeno, com uma mata ciliar bem preservada, representada por espécies de Mata Atlântica, com presença de manguezal, ao lado está localizado o Centro de Estudos Ambientais e Desenvolvimento Sustentável (CEADS). Foram realizadas amostragens sazonais, todas em maré de sizígia, ao longo do ano de 2012, totalizando quatro coletas trimestrais. Todas as campanhas ocorreram em uma estação fixa, na foz do rio Barra Grande. A amostragem de água foi realizada em duas profundidades, superfície e fundo, coletadas em intervalos de 30 minutos, ao longo de 25 horas, para as seguintes determinações: carbono orgânico particulado (COP), carbono orgânico dissolvido (COD) e isótopos estáveis de carbono (13C) e de nitrogênio (15N). Concomitantemente, foram medidos in situ: pH, salinidade, temperatura, oxigênio dissolvido (OD), profundidade do Disco de Secchi e medidas de fluxo. Ao fim da amostragem na Ilha Grande, o material coletado foi transportado para o Laboratório de Geoquímica Orgânica Marinha (LaGOM), na UERJ, onde foi analisado posteriormente. Durante todas as campanhas, foi observada uma maré mista, predominantemente semidiurna com desigualdade. Os resultados de temperatura e salinidade evidenciaram uma estratificação vertical em todas as campanhas. Os valores medianos de MPS foram sempre maiores no fundo em relação às amostras coletadas na superfície. O carbono orgânico apresentou maiores concentrações sob a forma dissolvida do que na particulada, variando entre as profundidades e as campanhas, sendo observadas maiores concentrações medianas, tanto de COD quanto de COP, em superfície e no fundo, na campanha de verão. As concentrações medianas de Nt observadas ao longo das três campanhas foram baixas, estando relacionadas às baixas concentrações de COP. A razão molar C/N e as isotópicas indicaram que o manguezal demonstrou ser a fonte mais abundante de COP nesse estuário. Os cálculos de fluxo indicaram que o estuário tanto importou, quanto exportou material, e apenas o COD foi importado em todas as campanhas.

内蒙古农牧交错区典型草地和农田生态系统碳通量的研究

涡度相关技术是唯一能直接测定大气与植被间CO2通量的标准方法。随着全球变化研究的深入，人类活动干扰下陆地生态系统碳通量研究越来越受到关注，对草地生态系统的研究更是备受关注。本研究选择位于内蒙古典型的农牧交错区——多伦县的典型克氏针茅草地和被开垦的农田为研究对象，利用涡度相关技术，结合各环境因子，在不同时间尺度上探讨了控制内蒙古草地生态系统碳通量可能的生理机制。利用一年多净生态系统CO2气体交换（NEE）通量的观测，量化了这个地区草地生态系统的碳储备量，并进一步阐明了开垦对该区域生态系统物质能量流动的影响。我们还利用Keeling同位素曲线与微气象技术相结合的方法把生态系统夜间呼吸区分为自养呼吸和异养呼吸;同时利用同化箱式法，把草地生态系统白天群落呼吸进行了区分，进一步了解了不同生态过程对净碳通量的贡献。 结果表明，控制该地区生态系统碳通量主要的环境因子是土壤含水量（VWC）和温度。两个生态系统的植被叶面积指数（LAI）和生物量在非干旱季都要高于干旱季，因而两个生态系统在非干旱季不同环境因子的不同梯度下的NEEmax都比干旱季的要高。两个生态系统NEE的最大日变幅和日最大值在非旱季与旱季十分接近，说明即使土壤水分有所改善，但由于这个地区贫瘠的土壤限制了生态系统的净碳交换量而使这两个生态系统的固碳能力依旧不高。无论是旱季还是非旱季，草地生态系统呼吸的温度敏感系数Q10都随土壤含水量的增加而增加，这除了水分的促进作用外，另外就是生长旺季根生物量的增加。而在两个生长季里农田生态系统的Q10都随土壤含水量的变化不是很规则，这主要是因为农作改变了植被类型和土壤的物理结构从而引起生态系统微环境、微生物活性以及根生物量的改变，结果影响生态系统呼吸对温度的敏感性。 在连续两个生长季里，两个生态系统碳通量随季节的变化都有明显的日变化，7月份的日变化最大，而且农田生态系统的NEE日变幅大于草地生态系统NEE的日变幅。两个生态系统每个月NEE的日最大值都出现在上午8~9点左右，而生态系统的呼吸（RE）的日最大值都发生在下午14~16点左右。冬季两个生态系统各组分碳通量的日进程几乎都没有差异，系统基本处于碳平衡状态。进入春季，幼小的植被限制了生态系统的碳同化。期间的耕作促进了土壤CO2的大量释放，同时较频繁的降雨不仅影响植被吸收光以进行光合固定碳，同时也进一步加大了农田CO2的释放，结果农田生态系统释放的CO2比草地生态系统多。夏季，两个生态系统都是吸收碳的库，农田生态系统因较高的LAI和较低的生态系统呼吸温度敏感性使其NEP远高于草地生态系统的NEP，是一个较强的碳库。秋末，草地生态系统几乎处于碳平衡的状态。农作物的收割，使得大量含不溶性物质较低枯叶和秸秆残留在地里，农田生态系统呼吸释放的碳量显著高于同期草地释放的碳量。通过2005～2006年对两个生态系统碳通量进行一整年的观测，发现两个生态系统年净固碳量相当，草地净固定71.3 g C m-2，农田净固定64.4 g C m-2。但秋季的收获使农田生态系统近70%的生物量被收走，降低了该系统的固碳能力。 为进一步了解不同生态过程对净碳通量的贡献量，我们利用浓度梯度-同位素法与微气象技术相结合的方法，初步将生态系统呼吸区分为自养呼吸和异养呼吸。草地生态系统在生长旺季自养呼吸占总呼吸80%以上，而农田生态系统在生长季阶段异养呼吸所占整个生态呼吸的比例从60%上升至作物成熟时的80%以上。降雨不仅显著增加草地生态系统呼吸的释放量，而且主要是显著增加了异养呼吸的释放量。此外，我们还利用同化箱式法对草地生态系统的群落呼吸进行区分，结果显示群落总呼吸（Re）有明显的季节变化，最高值在生长季中期。凋落物分解、土壤有机质呼吸、根呼吸和地上植被呼吸在整个生长季平均分别占总生态系统呼吸的19.4%、37.8%、9.8%和32.9%。构建各组分呼吸通量与温度的指数关系，结果显示根呼吸的温度敏感系数最大，土壤有机质的温度敏感性最低。降雨后首先促进了异养呼吸，随后植物的呼吸也开始变大，群落呼吸释放的最高峰出现在雨后第二天。 本研究初步分析了控制内蒙古农牧交错区草地生态系统碳通量的主要因子，量化了该区域草地生态系统的碳储备量，并进一步阐述了开垦对该区域生态系统碳通量的影响。同时尝试不同方法对生态系统碳通量进行了区分，得出了一些具有生态学意义的结果，为进一步探讨控制生态系统碳通量的生理机制提供了可能。

克氏针茅草原的碳通量与碳收支

植被和大气之间CO2通量的长期观测有助于理解陆地生态系统的碳循环及其控制机理，评价生态系统碳循环及其对未来气候变化的响应。本研究以中国北方克氏针茅草原为研究对象，以涡度相关法为主要技术手段，利用克氏针茅草原观测站碳通量的长期连续观测数据，探讨了环境因子在不同时间尺度上对克氏针茅草原光合生产力(GEP)、系统呼吸(Re)和净CO2交换(NEE)的影响，分析了克氏针茅草原碳通量的季节变化和年际碳收支动态。主要得到以下结论： (1) 温度和土壤水分是调控克氏针茅草原光响应曲线的关键环境因子。10-20oC是克氏针茅草原瞬时GEP的最适温度，15-20oC是日GEP的最适温度。GEP日总值随土壤水分的增加呈二次曲线关系，当土壤含水量(SWC)超过0.2 m3m-3时，GEP日总值不再增加。 (2) 克氏针茅草原Re同时受温度和土壤水分的控制。降雨脉冲对短期系统呼吸有激发作用。Lloyd & Taylor方程对Re的拟合效果好于指数方程。 (3) 克氏针茅草原表现出白天净碳吸收和夜间净碳释放的日变化特征，并且往往出现上午碳吸收强、下午碳吸收弱的不对称现象。降雨的季节分布通过SWC的季节变异间接影响克氏针茅草原NEE的季节变化。在日尺度上，NEE主要受温度和土壤水分的控制，10-20oC的空气温度有助于克氏针茅草原吸收CO2。在月尺度上，NEE主要受土壤水分的控制。 (4) 生长季的长度是决定克氏针茅草原源汇变化的关键因子。 (5) 克氏针茅草原的GEP、Re和NEE都具有非常明显的季节变化。冬季或干旱胁迫下量级较低，温暖和湿润季节的量级较高。干旱胁迫同时抑制植被的GEP和Re，对GEP的抑制强度更大，随着土壤水分的下降，不同尺度的NEE累积值逐渐向正值转变，即生态系统由碳汇转变为碳源。 (6) 克氏针茅草原2005年降雨量只有174mm，当年GEP和Re也是三年中最低的，只有101和169gCm-2yr-1;2006年降雨量为215mm，GEP和Re是三年中最强的，分别为149 和187gCm-2yr-1;2004年降雨量为297mm，接近多年平均，但大部分降雨发生在8、9月份，GEP和Re分别为141和190gCm-2yr-1。 (7) 克氏针茅草原在2004、2005和2006年碳收支分别为：49、68和37 gCm-2yr-1。未来全球气候的变暖可能对克氏针茅草原的碳汇功能产生负面影响，降雨的季节不均匀分布可能加强这种影响。

暖温带典型森林生态系统未来碳平衡的LPJ-GUESS模型模拟与分析

森林作为陆地生态系统的主体，在全球陆地碳循环中起着决定性作用。实测和模型研究均表明北半球的森林是重要的大气CO2汇，在缓解全球碳收支失衡中发挥着关键作用。过去几十年北半球所经历的显著气候变化，已经很大地改变了陆地生态系统的碳平衡状况。随着未来100年气候变化继续增大，对未来气候变化下森林生态系统碳平衡的预测研究就尤为重要。 北京山区森林属于典型的暖温带森林生态系统，前人对本区森林的植被特征、生态系统结构和功能、养分循环以及长期动态变化等都进行了深入的研究。然而长期的人类活动已使本区原生的地带性植被破坏殆尽。因此，对该区域森林生态系统碳平衡的模拟研究可以帮助我们认识其生态系统碳平衡变化特点及未来气候变化对其潜在的影响。 本研究采用LPJ-GUESS植被动态机理模型，利用IPCC于2000年发布的《排放情景特别报告》(SRES)的A2和B2两种情景下不同气候模式对华北地区未来100年温度和降水预测的平均值以及相应大气CO2浓度变化情景进行驱动，模拟北京山区未来100年暖温带森林生态系统的净初级生产力和碳平衡，尽可能真实地反映未来百年的变化趋势。通过比较当前和未来气候情景下北京山区以辽东栎（Quercus liaotungensis）为优势种的落叶阔叶林、以白桦（Betula platyphylla）为主的落叶阔叶林和油松（Pinus tabulaeformis）为主的针阔混交林三种典型暖温带森林生态系统的碳平衡差异，了解未来北京山区这三种暖温带森林生态系统的碳源汇功能，认识气候变化和大气CO2浓度升高对净初级生产力（Net primary productivity, NPP）、净生态系统碳交换（Net ecosystem exchange, NEE）、土壤异养呼吸（Heterotrophic respiration, Rh）和碳储量（Carbon biomass, C biomass）的影响，以及不同生态系统碳平衡对气候变化响应的异质性。 结果表明，未来100年两种气候情景下三种森林生态系统的NPP和Rh均增加，并且A2情景下增加的程度更大。由于三种生态系统树种组成的不同，未来气候情景下各自NPP和Rh增加的比例不同，导致三者NEE的变化也相异：100年后辽东栎林由碳汇转变为弱碳源，白桦林仍保持为碳汇但功能减弱，油松林成为一个更大的碳汇。三种森林生态系统的碳生物量在未来气候情景下均增大，21世纪末与20世纪末相比：辽东栎林在A2情景下碳生物量增加的比例为27.6%，大于B2情景下的19.3%；白桦林和油松林在B2情景下碳生物量增加的比例分别为34.2%和52.2%，大于A2情景下的30.8%和28.4%。各森林类型碳平衡状况不同，原因除气候因素外，主要是由于树种组成的差异所导致。SRES A2和B2两种气候情景相比，相对较低的排放情景（B2）下，生态系统有更高的碳储量。

辽河三角洲芦苇湿地生态系统水碳通量动态及其控制机制

全球变化背景下人类生存环境及社会经济的可持续发展要求，使得水循环和碳循环成为科学研究的关注点。湿地与森林、海洋并称为全球三大生态系统，与生态平衡、人类生存和经济社会可持续发展息息相关，特别是湿地的碳汇功能使得其在全球碳循环中具有重要作用。我国湿地面积占亚洲第一位，世界第四位，占世界湿地面积的11.9% 。但是，与森林、草地与农田等生态系统相比，湿地水碳循环控制机制研究的甚少，制约着湿地生态系统的水碳管理。 本论文基于2005~2007 年盘锦芦苇湿地生态系统野外观测站的涡度相关系统的水碳通量和气象环境因子的连续观测数据，结合芦苇湿地生态系统的生物学调查资料，较系统地分析了芦苇湿地生态系统水汽通量和碳通量的动态特征，探讨了不同时间尺度芦苇湿地生态系统水汽通量和碳通量的环境控制机制。主要结论如下： (1)芦苇湿地生态系统蒸散的日、季变化显著。2005~2007 年盘锦芦苇湿地生态系统的年蒸散量分别为432、480 和445 mm。非生长季(11 月~次年4 月)对全年蒸散量的贡献约13~16%，表明在湿地蒸散年总量的估算中不能忽略非生长季的贡献。 (2)关于动力作用和热力作用对芦苇湿地蒸散的贡献表明，能量是驱动芦苇湿地蒸散的重要因素，在小时至月尺度上均起着主导作用；时间尺度越长，能量因子对蒸散变异的解释率越大。仅温度就能解释蒸散月总量变异的95%左右。但是，随着时间尺度的降低，水分条件如饱和水汽压差、相对湿度，对芦苇湿地蒸散的作用逐渐显现。降雨和蒸散的变化虽然没有统计上的相关性，但短时段的降雨可能导致雨后蒸散增强，而持续多天的阴雨天气却能导致蒸散量连续下降。 (3)基于芦苇湿地生态系统作物系数(kc)具有显著日间变异的事实，发展了耦合气温、相对湿度和净辐射影响的芦苇湿地日作物系数模型，弥补了国际粮农组织建议的蒸发散估算模型FAO56 缺乏适宜湿地作物系数的不足。 (4)芦苇湿地生态系统呼吸呈单峰型季节变化，2005~2007 年生态系统呼吸的年总量分别为834、894 和872 g C m-2 yr-1，非生长季芦苇湿地的生态系统呼吸碳排放量为102~136 g C m-2 season-1，占全年生态系统呼吸总量的12~16%。这说明，非生长季湿地生态系统的碳排放通量不可忽视。温度是小时至月尺度的生态系统呼吸控制因子；同时，生物因素也对芦苇湿地生态系统呼吸有显著影响。生态系统呼吸对温度的响应呈指数函数关系，二者间的响应受土壤水分的影响。当表层土壤含水量(5 cm) 为20~25%时，芦苇湿地生态系统呼吸的潜力(Reco,10)最大。生态系统呼吸的日值与地上生物量、叶面积指数呈对数正相关，而与冠层高度呈显著二次曲线关系。生态系统呼吸的年际差异并不是由温度变化引起，而与植被生长状况密切相关。 (5)芦苇湿地生态系统的净碳交换季节变化明显，变化范围在-12.9~4.2 g C m-2 day-1 之间。一般在5~9 月表现为大气CO2 的汇，其余月份为碳源。其中，净碳吸收最大的月份为6、7 月，而净碳排放最大的月份为4、10 月。2005~2007 年的年碳收支分别为-55、-230 和-53 g C m-2 yr-1，呈碳汇。 (6)不同时间尺度的净碳交换控制因子不同。小时尺度上，影响芦苇湿地生态系统净碳交换的环境因子主要是光合有效辐射(PAR) 。芦苇湿地生态系统光合作用的光响应参数(α、Amax 和Reco)随温度指数上升，而与叶面积指数呈线性正相关。光响应参数的这种显著季节波动表明，在生态系统碳循环模型中不应该将生态系统的光合作用参数视为常数，应该考虑采用光响应参数与环境和生物因子间的定量关系来反映光合作用光响应参数动态。日尺度上，温度是芦苇湿地碳交换的主要控制因子，湿地净碳交换在15℃左右由正值变为负值，芦苇湿地由碳源变为碳汇。除温度外，饱和水汽压差对日尺度净碳交换波动也有影响，二者呈二次曲线关系(U 型)，当饱和水汽压差在0.8 kPa 附近时，芦苇湿地净碳吸收达到最大。月尺度上，影响芦苇湿地净碳交换的主要环境因子依然是温度，二者间表现出“非对称响应”特征。 (7)对芦苇湿地碳交换各组分间的关系分析表明，芦苇湿地生态系统呼吸和净碳交换均受总光合生产力的显著影响，即通过光合作用产物来源控制。

Phytoplankton biomass size structure and its regulation in the Southern Yellow Sea (China): Seasonal variability

Phytoplankton size structure plays a significant role in controlling the carbon flux of marine pelagic ecosystems. The mesoscale distribution and seasonal variation of total and size-fractionated phytoplankton biomass in surface waters. as measured by chlorophyll a (Chl a), was studied in the Southern Yellow Sea using data from four cruises during 2006-2007. The distribution of Chl a showed a high degree of spatial and temporal variation in the study area. Chl a concentrations were relatively high in the summer and autumn, with a mean of 142 and 1.27 mg m(-3), respectively. Conversely, in the winter and spring. the average Chl a levels were only 098 and 0.99 mg m(-3) Total Chl a showed a clear decreasing gradient from coastal areas to the open sea in the summer, autumn and winter cruises. Patches of high Chl a were observed in the central part of the Southern Yellow Sea in the spring due to the onset of the phytoplankton bloom. The eutrophic coastal waters contributed at least 68% of the total phytoplankton biomass in the surface layer. Picophytoplankton showed a consistent and absolute dominance in the central region of the Southern Yellow Sea (>40%) in all of the cruises, while the proportion of microphytoplankton was the highest in coastal waters The relative proportions of pico- and nanophytoplankton decreased with total biomass, whereas the proportion of the micro-fraction increased with total biomass. Relationships between phytoplankton biomass and environmental factors were also analysed. The results showed that the onset of the spring bloom was highly dependent on water column stability. Phytoplankton growth was limited by nutrient availability in the summer due to the strong thermocline. The combined effects of P-limitation and vertical mixing in the autumn restrained the further increase of phytoplankton biomass in the Surface layer. The low phytoplankton biomass in winter was caused by vertical dispersion due to intense mixing. Compared with the availability of nutrients. temperature did not seem to cause direct effects on phytoplankton biomass and its size structure. Although interactions of many different environmental factors affected phytoplankton distributions. hydrodynamic conditions seemed to be the dominant factor. Phytoplankton size structure was determined mainly by the size-differential capacity in acquiring resource. Short time scale events, such as the spring bloom and the extension of Yangtze River plume, can have substantial influences, both on the total Chl a concentration and on the size structure of the phytoplankton. (C) 2009 Elsevier Ltd. All rights reserved.