在降雨量极少的条件下日本琵琶湖北湖主要环境因子的动态变化和机理的研究(Ⅰ)(英文)

琵琶湖是日本第一大淡水湖,20世纪60年代以来,由于经济的发展,湖水水质逐步变坏。1977年湖的北部出现赤潮,1 983年湖的南部出现了湖泊富营养化的产物微囊藻。多年来,在深水区湖水温度分层情况下,叶绿素α或浮游植物主要分布在湖的表层。但在1 994年夏季降雨量极少的情况下,在深水区叶绿素α或浮游植物主要分布在温跃层的附近,这种现象在琵琶湖是罕见的。分析发现叶绿素的峰值在湖水温度分层时出现在温跃层的上部,而且底边界层同时出现了低溶氧和高浊度的现象。叶绿素α和溶氧、浊度的对应关系表明温跃层是一光合成活跃的区间。本文通过流体力学方程计算,结果表明随着温度的降低,粘滞力就会增加,在温跃层出现了随水深增加,粘滞力急剧增大的情况。由此可见颗粒物在温跃层顶的上部沉降速度比温跃层内快,因此颗粒物高浓度出现在温跃层内。计算结果同时发现,在水深10～20 m(对应于温跃层),分子扩散系数最小,一旦颗粒物进入这一区间就不易扩散出去。由于温跃层是一分子扩散系数小、粘滞力高的区间,所以温跃层是颗粒物和营养盐的富集区,出现了藻类和叶绿素浓度的峰值。     

在降雨量极少的条件下日本琵琶湖的环境因子的分布(英文)

琵琶湖是日本第一大淡水湖,20世纪60年代以来,由于经济的发展,湖水水质逐步变坏。1977年湖的北部出现赤潮,1983年湖的南部出现了湖泊富营养化的产物微囊藻。多年来,在深水区湖水温度分层情况下,叶绿素a或浮游植物主要分布在湖的表层(Tezuka,1984)。但在1994年夏季,降雨量极少的情况下,在深水区叶绿素a或浮游植物主要分布在温跃层附近,这种现象在琵琶湖是罕见的(Nakanishi,1995)。最近,琵琶湖北湖的藻类爆发显著增加了溶氧的消耗,导致了湖底层溶氧的减少。如果湖底层溶氧持续减少,底泥储存的磷就会释放到湖水中,从而加快湖泊富营养化的进程。本文分析了琵琶湖南北10个点1994年4月至1995年3月每月1次的常规观测资料,深入剖析了全湖物理化学参数的时空分布,不仅发现叶绿素的峰值在湖水温度分层时出现在温跃层的上部,而且湖底边界层同时出现了低溶氧和高浊度的现象。分析认为绿素a和溶氧、浊度的对应关系表明温跃层是一光合成活跃的区间。     

在降雨量极少的条件下日本琵琶湖北湖主要环境因子的动态变化和机理的研究(Ⅰ)

琵琶湖是日本第一大淡水湖,20世纪60年代以来,由于经济的发展,湖水水质逐步变坏.1977年湖的北部出现赤潮,1983年湖的南部出现了湖泊富营养化的产物微囊藻.多年来,在深水区湖水温度分层情况下,叶绿素α或浮游植物主要分布在湖的表层.但在1 994年夏季降雨量极少的情况下,在深水区叶绿素α或浮游植物主要分布在温跃层的附近,这种现象在琵琶湖是罕见的.分析发现叶绿素的峰值在湖水温度分层时出现在温跃层的上部,而且底边界层同时出现了低溶氧和高浊度的现象.叶绿素α和溶氧、浊度的对应关系表明温跃层是一光合成活跃的区间.本文通过流体力学方程计算,结果表明随着温度的降低,粘滞力就会增加,在温跃层出现了随水深增加,粘滞力急剧增大的情况.由此可见颗粒物在温跃层顶的上部沉降速度比温跃层内快,因此颗粒物高浓度出现在温跃层内.计算结果同时发现,在水深10～20 m(对应于温跃层),分子扩散系数最小,一旦颗粒物进入这一区间就不易扩散出去.由于温跃层是一分子扩散系数小、粘滞力高的区间,所以温跃层是颗粒物和营养盐的富集区,出现了藻类和叶绿素浓度的峰值.     

基于环境一号卫星多光谱影像数据的三湖一库富营养化状态评价

环境一号卫星是我国2008年自主发射的环境与灾害监测小卫星,其2d的时间分辨率使其成为环境变化监测的重要数据源.根据实测的太湖、巢湖、滇池和三峡水库的水面光谱信息以及水质参数,构建基于环境一号卫星多光谱数据的富营养化评价模型,对太湖、巢湖、滇池和三峡水库2009年水体营养状况进行了评价分析.研究结果表明:利用环境一号卫...     

实验室条件下温度升高对水体叶绿素a的影响研究

以23℃为基础,按2℃温差设置温度梯度,最高温度组为29℃。每隔10d取样一次,进行叶绿素α浓度的测定。结果显示温度低于25℃时,增温有助于藻类生物量的提高,而温度超过25℃时,增温限制了藻类生物量的提高。水体温度量对浮游植物生物的影响程度与增温幅度和培养时间有关。Pearson相关性分析结果显示:温度与叶绿素a浓度相关性显著(P0.05),叶绿素a浓度与培养时间呈极显著正相关(P0.01)。     

Piriformospora indica confers cadmium tolerance in Nicotiana tabacum

Piriformospora indica, a root-colonizing endophytic fungus of Sebacinales, promotes plant growth and confers resistance against biotic and abiotic stresses. In order to confirm the influence of P. indica on growth, proline, malondialdehyde (MDA), chlorophyll, and cadmium (Cd) amounts in Nicotiana tabacum under Cd stress, hydroponics, pot and field trials were conducted. The results showed that P. indica can store Cd in plant roots and reduce leaf Cd content, reduce the concentration of MDA, and increase the proline and chlorophyll content and the activities of catalase, peroxidase, and superoxide dismutase under hydroponic Cd stress. RT-PCR analysis showed that the relative expression level of genes Gsh2, TaPCS1, oas1, GPX, and Hsp70 in colonized plants was 4.3, 1.4, 2.9, 1.7, and 6.9 fold higher than in un-colonized plants respectively. Cd exposure significantly reduced un-colonized plants'' agronomic traits compared to P. indica-colonized ones. Our results suggested that P. indica can sequester Cd in roots, so that much less cadmium was transported to leaves, and the increased concentrations of antioxidant enzymes, pigments and proline contents, as well as the higher expression of stress-related phytochelatin biosynthesis genes in P. indica-inoculated plants, may also serve to protect N. tabacum plants against oxidative damage, enhancing Cd tolerance.     

Approaching the upper boundary of driver-response relationships: identifying factors using a novel framework integrating quantile regression with interpretable machine learning

● A novel framework integrating quantile regression with machine learning is proposed. ● It aims to identify factors driving observations to upper boundary of relationship. ● Increasing N:P and TN concentration help fulfill the effect of TP on CHL. ● Wetter and warmer decrease potential and increase eutrophication control difficulty. ● The framework advances applications of quantile regression and machine learning. The identification of factors that may be forcing ecological observations to approach the upper boundary provides insight into potential mechanisms affecting driver-response relationships, and can help inform ecosystem management, but has rarely been explored. In this study, we propose a novel framework integrating quantile regression with interpretable machine learning. In the first stage of the framework, we estimate the upper boundary of a driver-response relationship using quantile regression. Next, we calculate “potentials” of the response variable depending on the driver, which are defined as vertical distances from the estimated upper boundary of the relationship to observations in the driver-response variable scatter plot. Finally, we identify key factors impacting the potential using a machine learning model. We illustrate the necessary steps to implement the framework using the total phosphorus (TP)-Chlorophyll a (CHL) relationship in lakes across the continental US. We found that the nitrogen to phosphorus ratio (N׃P), annual average precipitation, total nitrogen (TN), and summer average air temperature were key factors impacting the potential of CHL depending on TP. We further revealed important implications of our findings for lake eutrophication management. The important role of N׃P and TN on the potential highlights the co-limitation of phosphorus and nitrogen and indicates the need for dual nutrient criteria. Future wetter and/or warmer climate scenarios can decrease the potential which may reduce the efficacy of lake eutrophication management. The novel framework advances the application of quantile regression to identify factors driving observations to approach the upper boundary of driver-response relationships.     

Humic substances. Part II†: Photophysical,photochemical and free radical characteristics

The effects of mercury (HgCl₂) on cell population, chlorophyll a concentration and rates of photosynthesis and excretion were investigated in the phytoplanktonic species Dunaliella minuta in laboratory cultures. Mercury, above 25ppb inhibited both cell population and chlorophyll a concentration approximately to the same extent, whereas the photosynthetic rate was inhibited to a significantly lesser degree. Although, the total photosynthetic rate of the tested organism was reduced, above a threshold concentration, the photosynthetic activity was not reduced under these conditions, but it was in fact significantly greater than that in the control culture. This may suggest that in D. minuta the inhibitory effect of mercury is primarily on cell division rather than cellular photosynthesis, which is enhanced by the fact mercury caused a significant increase of the mean cell volume. Mercury, also, decreased the growth rate and final cell yield. The excretory rate was markedly increased at concentrations ≥ 250 ppb of mercury, but at lower concentrations it tended to depend more on the physiological state of cells than on mercury concentration. In the different cultures, the photosynthetic activity showed variations which occurred without major changes in the chlorophyll a content per cell, which remained almost constant and independent of variations in cell size and growth conditions.     

Sea-water seasonal changes at a heavy tourism investment site on the Jordanian northern coast of the Gulf of Aqaba,Red Sea

The Gulf of Aqaba exhibits a strong seasonality due to convective mixing during winter and stratification during summer. The present study provides a detailed appraisal of summer and winter sea-water characteristics at the northern coast of the Gulf of Aqaba, that is witnessing rapid development and increasing changes in its geomorphological characteristics. Sea-water temperature, salinity, nutrients, and chlorophyll a concentrations were measured biweekly at five coastal and four cross-sectional stations during the periods February to April and July to September 2004. Meteorological conditions were continuously recorded at the Marine Science Station. The coastal study sites included four open coastal stations and a marina with one-way exchange with the open water. The effect of convective mixing was clearly apparent on the sea-water characteristics. Natural seasonal characteristics of higher nutrients and chlorophyll a concentrations were recorded during winter at most of the open coastal stations. In the cross-sectional stations, the concentrations of nutrients and chlorophyll a were not different between the surface and the bottom during winter, but the bottom waters had generally higher concentrations during summer. Some deviations from the natural seasonal cycle were recorded at the marina and other coastal stations. Here, higher nutrient and chlorophyll a concentrations were recorded in summer than in winter. These deviations that are most likely due to anthropogenic effects are discussed.     

镉对籽粒苋耐性生理及营养元素吸收积累的影响

初步阐明了镉对籽粒苋耐性生理及营养元素吸收积累的影响,为进一步揭示籽粒苋的镉耐性与镉富集机理奠定了基础。通过对生物量的监测,对叶绿素、蛋白质、游离氨基酸、大量元素及微量元素等的含量的测定,阐明镉胁迫对籽粒苋生长生理、抗胁迫耐性、营养元素吸收分配的影响。研究结果显示,镉胁迫对籽粒苋的生长抑制作用不明显,植株生物量随着镉浓度的提高而轻微降低。随着镉处理浓度的提高,叶绿素含量下降幅度显著;蛋白质和游离氨基酸含量变化幅度不明显;钾含量无大幅变化;镉、磷、钙、镁、锌、铁、锰、铜含量变化幅度较显著。镉、钾、磷、锰的迁移系数随着镉处理浓度的提高无显著变化;钙的迁移系数呈上升趋势;镁、锌、铁、铜的迁移系数均呈下降趋势。这些结果表明：镉胁迫降低籽粒苋叶绿素含量,抑制植株光合作用,继而抑制了植株的生长,但其程度不明显;镉胁迫条件启动活性氧防御机制;引起植株体内部分养分代谢紊乱。结论：低浓度镉处理条件下,籽粒苋受镉离子影响,抗氧化能力下降。在高浓度镉处理条件下,籽粒苋调节了营养元素的吸收和分配,启动了一系列活性氧防御机制,提高了抗胁迫能力。