The effects of immobilization on physiology and ultrastructure of unicellular alga Platymonas subcordiformis

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鼠尾藻(Sargassum thunbergii)对邻苯二甲酸二甲酯(DMP)胁迫的响应

邻苯二甲酸二甲酯(dimethyl phthalate,DMP)是近海环境有机污染物之一,不仅对海洋生物造成毒害,且能在生物体内富集和放大,对海洋生态系统形成严重威胁。本文以鼠尾藻(Sargassum thunbergii)为研究对象,通过测定比生长速率、叶绿素a含量、光合和呼吸速率、光合基因rbcL转录水平上的相对表达量等指标,研究了鼠尾藻对不同浓度DMP的响应。结果表明,低浓度的DMP(0.lmg/L)短时间内(≤15d)能促进鼠尾藻的生长和叶绿素a的合成,并使藻体的光合作用增强,诱导光合基因rbcL的表达,而在高浓度DMP(≥0.3mg/L)的作用下,鼠尾藻的生长速率、光合和呼吸速率、rbcL基因的表达量均随着暴露时间的延长呈明显下降趋势,且DMP浓度越高,降幅越大。以上研究结果对了解DMP对鼠尾藻胁迫的影响机制奠定了基础,为保护海洋经济藻类的养殖环境提供了理论依据。     

Diurnal Variations of Hydrochemistry in a Travertine-depositing Stream at Baishuitai, Yunnan, SW China

Diurnal variations of hydrochemistry were monitored at a spring and two pools in a travertine-depositing stream at Baishuitai, Yunnan, SW China. Water temperature, pH and specific conductivity were measured in intervals of 5 and 30 min for periods of 1 to 2 days. From these data the concentrations of Ca²⁺, HCO₃⁻, calcite saturation index, and CO₂ partial pressure were derived. The measurements in the spring of the stream did not show any diurnal variations in the chemical composition of the water. Diurnal variations, however, were observed in the water of the two travertine pools downstream. In one of them, a rise in temperature (thus more CO₂ degassing) during day time and consumption of CO₂ due to photosynthesis of submerged aquatic plants accelerated deposition of calcite, whereas in the other pool, where aquatic plants flourished and grew out of the water (so photosynthesis was taking place in the atmosphere), the authors suggest that temperature-dependent root respiration underwater took place, which dominated until noon. Consequently, due to the release of CO₂ by the root respiration into water, which dominated CO₂ production by degassing induced by temperature increase, the increased dissolution of calcite was observed. This is the first time anywhere at least in China that the effect of root respiration on diurnal hydrochemical variations has been observed. The finding has implications for sampling strategy within travertine-depositing streams and other similar environments with stagnant water bodies such as estuaries, lakes, reservoirs, pools and wetlands, where aquatic plants may flourish and grow out of water.     

Effect of water stress on ecosystem photosynthesis and respiration of a Leymus chinensis steppe in Inner Mongolia

Many studies on global climate have forecast major changes in the amounts and spatial patterns of precipitation that may significantly affect temperate grasslands in arid and semi-arid regions. As a part of ChinaFLUX, eddy covariance flux measurements were made at a semi-arid Leymus chinensis steppe in Inner Mongolia, China during 2003-2004 to quantify the response of carbon exchange to environmental changes. Results showed that gross ecosystem production (FGEP) and ecosystem respiration (Reco) of the steppe were significantly depressed by water stress due to lack of precipitation during the growing season. Temperature was the dominant factor affecting FGEP and Reco in 2003, whereas soil moisture imposed a significant influence on both Reco and FGEP in 2004. Under wet conditions, Reco showed an exponentially increasing trend with temperature (Q10 = 2.0), but an apparent reduction in the value of Reco and its temperature sensitivity were observed during the periods of water stress (Q10=1.6). Both heat and water stress can cause decrease in FGEP. The sea-sonality of ecosystem carbon exchange was strongly correlated with the variation of precipitation. With less precipitation in 2003, the steppe sequestrated carbon in June and July, and went into a senescence in early August due to water stress. As compared to 2003, the severe drought during the spring of 2004 delayed the growth of the steppe until late June, and the steppe became a CO2 sink from early July until mid-September, with ample precipitation in August. The semi-arid steppe released a total of 9.7 g C·m-2 from May 16 to the end of September 2003, whereas the net carbon budget during the same period in 2004 was close to zero. Long-term measurements over various grasslands are needed to quantify carbon balance in temperate grasslands.     

Net ecosystem CO_2 exchange and controlling factors in a steppe——Kobresia meadow on the Tibetan Plateau

Knowledge of seasonal variation of net ecosystem CO2 exchange (NEE) and its biotic and abiotic controllers will further our understanding of carbon cycling process, mechanism and large-scale modelling. Eddy covariance technique was used to measure NEE, biotic and abiotic factors for nearly 3 years in the hinterland alpine steppe--Korbresia meadow grassland on the Tibetan Plateau, the present highest fluxnet station in the world. The main objectives are to investigate dynamics of NEE and its components and to determine the major controlling factors. Maximum carbon assimilation took place in August and maximum carbon loss occurred in November. In June, rainfall amount due to monsoon climate played a great role in grass greening and consequently influenced interannual variation of ecosystem carbon gain. From July through September, monthly NEE presented net carbon assimilation. In other months, ecosystem exhibited carbon loss. In growing season, daytime NEE was mainly controlled by photosynthetically active radiation (PAR). In addition, leaf area index (LAI) interacted with PAR and together modulated NEE rates. Ecosystem respiration was controlled mainly by soil temperature and simultaneously by soil moisture. Q10 was negatively correlated with soil temperature but positively correlated with soil moisture. Large daily range of air temperature is not necessary to enhance carbon gain. Standard respiration rate at referenced 10℃(R10) was positively correlated with soil moisture, soil temperature, LAI and aboveground biomass. Rainfall patterns in growing season markedly influenced soil moisture and therefore soil moisture controlled seasonal change of ecosystem respiration. Pulse rainfall in the beginning and at the end of growing season induced great ecosystem respiration and consequently a great amount of carbon was lost. Short growing season and relative low temperature restrained alpine grass vegetation development. The results suggested that LAI be usually in a low level and carbon uptake be relatively low. Rainfall patterns in the growing season and pulse rainfall in the beginning and at end of growing season control ecosystem respiration and consequently influence carbon balance of ecosystem.     

Soil respiration mapped by exclusively use of MODIS data for forest landscapes of Saskatchewan,Canada

Soil respiration (R_s) is of great importance to the global carbon balance. Remote sensing of R_s is challenging because of (1) the lack of long-term R_s data for model development and (2) limited knowledge of using satellite-based products to estimate R_s. Using 8-years (2002–2009) of continuous R_s measurements with nonsteady-state automated chamber systems at a Canadian boreal black spruce stand (SK-OBS), we found that R_s was strongly correlated with the product of the normalized difference vegetation index (NDVI) and the nighttime land surface temperature (LSTn) derived from Moderate Resolution Imaging Spectroradiometer (MODIS) imagery. The coefficients of the linear regression equation of this correlation between R_s and NDVI × LSTn could be further calibrated using the MODIS leaf area index (LAI) product, resulting in an algorithm that is driven solely by remote sensing observations. Modeled R_s closely tracked the seasonal patterns of measured R_s and explained 74–92% of the variance in R_s with a root mean square error (RMSE) less than 1.0 g C/m²/d. Further validation of the model from SK-OBS site at another two independent sites (SK-OA and SK-OJP, old aspen and old jack pine, respectively) showed that the algorithm can produce good estimates of R_s with an overall R² of 0.78 (p < 0.001) for data of these two sites. Consequently, we mapped R_s of forest landscapes of Saskatchewan using entirely MODIS observations for 2003 and spatial and temporal patterns of R_s were well modeled. These results point to a strong relationship between the soil respiratory process and canopy photosynthesis as indicated from the greenness index (i.e., NDVI), thereby implying the potential of remote sensing data for detecting variations in R_s. A combination of both biological and environmental variables estimated from remote sensing in this analysis may be valuable in future investigations of spatial and temporal characteristics of R_s.     

祁连山中部亚高山草地土壤呼吸及其组分研究

草地碳通量组分的区分及其与环境因子的关系是了解生态系统碳循环的重要环节。于2013年6-8月在祁连山中部亚高山草地开展了土壤呼吸及其组分研究,利用根去除法区分根系自养呼吸和土壤微生物异养呼吸。采用LI-8100土壤碳通量系统测定生态系统呼吸、土壤呼吸及土壤微生物呼吸速率,同时测定10cm处土壤温度和5cm处土壤湿度。分析呼吸速率和环境因子的昼夜变化动态,自养呼吸和异养呼吸速率占土壤呼吸速率的比例,呼吸速率与土壤温湿度及与生物量的关系。结果表明：生态系统呼吸、土壤呼吸和土壤微生物呼吸速率的日变化趋势均呈单峰型曲线,具体表现为生态系统呼吸（11.07μmol · m^-2 ·s^-1）>土壤呼吸（6.31μmol·m^-2·s^-1）>异养呼吸（4.92μmol·m^-2 ·s^-1）>自养呼吸（1.39μmol·m^-2·s^-1）;自养和异养呼吸速率分别占土壤呼吸速率的22.03%和77.97%;呼吸速率与10cm处土壤温度呈指数相关,Q₁₀值排序为：土壤微生物呼吸（Q₁₀=3.74）>土壤呼吸（Q₁₀=2.76）>生态系统呼吸（Q₁₀=2.49）,呼吸速率与5cm处土壤湿度呈显著线性负相关关系,双因素模型明显提高了呼吸速率与温湿度的相关性,能够分别解释土壤微生物呼吸,土壤呼吸和生态系统呼吸速率变异的89%,79%和62%;地上生物量和呼吸速率之间存在显著线性正相关关系,地下生物量与呼吸速率之间呈二次回归关系（P=0.01）,未刈割草地呼吸速率大于刈割草地土壤呼吸速率,刈割一年的土壤呼吸速率大于刈割两年的土壤呼吸速率。     

塔里木河流域干旱区棉田土壤呼吸的温度敏感性研究

利用阿克苏绿洲农田试验站连续测定的棉田土壤呼吸值及同步测定的土壤温度与湿度数据, 构建通用的土壤呼吸温度敏感性模型. 结合构建的模型, 对5个常用的土壤呼吸温度模型所模拟的研究区的土壤呼吸变化的温度敏感性进行评析. 结果表明: Arrhenius模型能较好的预测研究区的土壤呼吸温度敏感性的变化; 研究区土壤呼吸温度敏感性随温度的升高呈下降的趋势. 两类试验样地土壤呼吸温度敏感性存在明显的差异性, 这可能与两类试验样地土壤呼吸组分的差异有关, 这是以后需要重点关注的地方.     

Plant Species Mediate Rhizosphere Microbial Activity and Biodegradation Dynamics in a Riparian Soil Treated with Bensulfuron‐methyl

A pot experiment was conducted to investigate microbial characteristics and the biodegradation process of bensulfuron‐methyl (BSM) in a rhizosphere soils planted with different riparian plants. The results showed that microbial population decreased with BSM addition in the rhizosphere, especially for bacteria and fungi. The activities of the dehydrogenase (DHase) were stimulated firstly, due to BSM addition, but then were inhibited, and recovered to the initial level, while the activities of the phosphatase and urease showed obviously decreasing trend throughout the whole experiment. Rhizosphere soil substrate‐induced respiration (SIR) was depressed by BSM, especially at the initial 14 days of incubation. Compared to Zizania aquatica and Phragmites australis, Acorus calamus showed a significantly (p < 0.05) higher DHase activity and larger SIR in the rhizosphere soils treated with BSM, which means that A. calamus can effectively alleviate inhibitory effect of the sulfonylurea herbicide addition on microbial activity. There were significant (p < 0.05) differences in microbial degradation dynamics of BSM in the rhizosphere soils among three kinds of riparian plants. A. calamus displayed a significantly (p < 0.05) higher degradation efficiency of BSM in the rhizosphere soils, followed by Z. aquatica and P. australis. The residual BSM concentration in A. calamus rhizosphere soil was 23.1 and 32.2% lower than that in Z. aquatica and P. australis rhizosphere soils, respectively, indicating a greater improvement effect on biodegradation of BSM in A. calamus rhizosphere soils.     

陆面模式中土壤呼吸的研究概况

土壤呼吸是陆地植被吸收的CO2返回大气的基本途径,土壤呼吸速度轻微变化也会引起大气中CO2浓度的明显改变,进而影响气候变化。陆面过程模式中更好地描述土壤呼吸过程对于预测未来气候变化是至关重要的。对于土壤呼吸的模拟研究,介绍了经验模型和以过程为基础的机理模型,以及国内外陆面过程模式中土壤呼吸的研究情况,并讨论了土壤呼吸模式中需要改进的问题。