浅水湖泊湖泛(黑水团)中的微生物生态学研究进展

"湖泛"是指湖泊水体中(包括沉积物)富含大量藻源性(或草源性)的生物质,在微生物的分解作用下,大量消耗氧气,出现厌氧分解,微生物在还原条件下,促进许多"黑臭"物质的形成,进而影响水质和湖泊生态系统结构与功能乃至造成环境灾难.与湖泛发生时的环境特征(如低溶解氧,低p H,高有机质,高总磷、总氮)相对应的是其简化的食物网结构和特殊的微生物类群.本文将主要针对湖泛中的微生物群落及其在物质循环中的作用展开综述.研究显示湖泛水体中主要微生物类群,如真菌、细菌厚壁菌门的梭菌以及产甲烷古菌等,在有机质的快速分解和厌氧矿化过程中发挥着重要作用;沉积物中主要的微生物功能群,如硫酸盐还原细菌、铁还原细菌、甲烷厌氧氧化菌和反硝化细菌等,是湖泛致黑物质形成的关键.缺氧及厌氧条件下碳、硫和铁等元素生物地球化学过程的相互关联以及多种微生物之间形成的互营共生可能是湖泛过程中功能微生物的重要特征.湖泛中微生物功能的进一步研究,亟需借鉴海洋低氧区及深海沉积物的经验,引用先进研究手段,提出可靠的生物地球化学证据.浅水湖泊湖泛(黑水团)中的微生物生态学探索将有助于从机理上揭示湖泛黑臭的成因.     

湖泊生态修复基准环境的制定:古生态学面临的机遇

全球范围内的湖泊生态环境均出现了不同程度的退化,对其进行生态修复的最终目的,就是要将受损的生态系统尽量恢复到人类干扰前或接近人类干扰前的生态状况,即基准环境.湖泊生态系统是长期演化的产物,其形成及演化机制必须从历史的视角加以考察,因此基于湖泊沉积物的古生态学技术在制定基准环境方面有着独特的优势.本文从基准环境的定义、建立的常用方法、基本特征和典型应用几个方面介绍了古生态学手段在湖泊生态修复中的应用,提出中国今后利用古生态学手段在水环境治理工作的应用前景.     

中国湖泊古生态研究进展

湖泊古生态学是古湖沼学的一个主要分支学科,主要通过沉积记录中的各种生物化石指标分析,重建不同时空尺度的湖泊生态系统演化过程,回答生态学、全球变化和环境管理应用方面的议题.本文回顾了国内外湖泊古生态研究的发展历程,在介绍湖泊古生态系列指标和研究基本原理基础上,着重评述了过去20 a来我国湖泊古生态研究取得的主要进展和成果,包括:(1)建立了基于多种生物和生物标记化合物指标进行古气候环境要素(温度、盐度、水体总磷等)定量重建的系列转换函数模型;(2)重点揭示了不同地质历史时期和近百年来湖泊生态环境演变的规律,及其对自然和人为驱动的响应特征与机理;(3)利用古生态记录诊断了湖泊生态系统突变模式与早期信号特征,定量揭示了湖泊生物群落演替与生态系统弹性损失的关系.上述成果为湖泊环境管理和治理提供了重要依据.本文最后对我国湖泊古生态研究进行了展望,提出了今后研究的重点方向.     

长江中下游湖泊沉积物生物可利用磷分布特征

利用化学提取方法对太湖6个样点,巢湖4个样点和龙感湖3个样点的表层沉积物和沉积物柱样进行了生物可利用磷(BAP)测定．北太湖表层沉积物的平均含量为259．5mg／kg,而西部湖区平均含量为114 6mg／kg,湖心区平均含量为40．6 mg/kg,而东太湖平均含量为50．7 mg／kg,呈显著北高南低的特点．巢湖西部湖区表层沉积物的BAP平均含量为 254．2 mg／kg,而东部湖区BAP含量降低为101．9mg／kg．龙感湖表层沉积物BAP平均含量为67．8 mg／kg．显著表明污染程度较高的湖区沉积物的BAP相应较高．BAP在沉积物中随深度呈指数降低,显示生物可利用磷在沉积作用下向稳定的非活性磷转化．夏季沉积物中的BAP由于生物活性的增强向溶解态活性磷转化过程增强,显示为较低的BAP含量．BAP 含量与水体溶解态活性磷呈正相关关系,且该相关性在BAP含量较低的样点好于高BAP的样点．     

湖泊生态服务生产函数构建研究——以博斯腾湖为例

湖泊生态系统服务（LES）在维持区域乃至全球生态安全格局中发挥重要作用,是目前生态系统服务研究的热点之一。由于湖泊面广量大、类型丰富、区域差异大及基础数据较为缺乏等原因,适用于LES定量评估且较为便捷、可行的模型方法较少。本文以博斯腾湖为例,基于生态系统最终服务与关键特征指标构建湖泊生态服务生产函数（LEPF）,用于定量评估湖泊生态系统服务价值（LESV）并甄别关键特征指标的贡献度。结果表明：（1）博斯腾湖1990 2019年生态系统最终服务年均价值量为2226.84亿元,总体呈“上升下降上升”的变化趋势,气候调节、防洪蓄水为主导生态系统服务;（2）LEPF拟合结果较好地反映了5类关键特征指标对LESV的贡献度,从高到低依次为：湖泊水位>蒸发量>面积>水生植被面积>综合营养状态指数;（3）5类关键特征指标中水位的产出弹性较高,表明水位波动与生态系统最终服务价值变化密切相关。     

Parametric uncertainty and sensitivity analysis of hydrodynamic processes for a large shallow freshwater lake

Abstract

A parametric uncertainty and sensitivity analysis of hydrodynamic processes was conducted for a large shallow freshwater lake, Lake Taihu, China. Ten commonly used parameters in five groups were considered including: air–water interface factor, water–sediment interface factor, surrounding terrain factor, turbulent diffusion parameters and turbulent intensity parameters. Latin hypercube sampling (LHS) was used for sampling the parametric combinations, which gave predictive uncertainty results directly without using surrogate models, and the impacts of different parametric distribution functions on the results were investigated. The results showed that the different parametric distribution functions (e.g. uniform, normal, lognormal and triangular) for sampling had very little impact on the uncertainty and sensitivity analysis of the lake hydrodynamic model. The air–water interface factor (wind drag coefficient) and surrounding terrain factor (wind shelter coefficient) had the greatest influence on the spatial distribution of lake hydrodynamic processes, especially in semi-closed bays and lake regions with complex topography, accounting for about 60–70% and 20%, respectively, of the uncertainty on the results. Vertically, velocity in the surface layer was also largely influenced by the two factors, followed by velocity in the bottom layer; the middle velocity had minimal impact. Likewise, the water–sediment interface factor (i.e. bottom roughness height) ranked third, contributing about 10% to the uncertainty of the hydrodynamic processes of the lake. In contrast, turbulent diffusion parameters and turbulent intensity parameters in the lake hydrodynamic model had little effect on the uncertainty of simulated results (less than 1% contribution). The findings were sufficiently significant to reduce the parameter uncertainties and calibration workload of the hydrodynamic model in large shallow lakes.

Editor Z. W. Kundzewicz; Associate editor S. Grimaldi     

Thresholds in the storm response of a lake chain system and the occurrence and magnitude of lake overflows: Implications for flood frequency

The aim of this paper is to illustrate the effects of spatial organization of lake chains and associated storage thresholds upon lake-overflow behaviour, and specifically their impact upon large scale flow connectivity and the flood frequency of lake overflows. The analysis was carried out with the use of a multiple bucket model of the lake chain system, consisting of a network of both lakes and associated catchment areas, which explicitly incorporated within it three storage thresholds: a catchment field capacity threshold that governs catchment subsurface stormflow, a total storage capacity threshold that governs catchment surface runoff, and a lake storage capacity threshold that determines lake overflow. The model is driven by rainfall inputs generated by a stochastic rainfall model that is able to capture rainfall variability at a wide range of time scales. The study is used to gain insights into the process controls of lake-overflow generation, and in particular, to explore the crucial role of factors relating to lake organization, such as the average catchment area to lake area (A_C/A_L) ratio and the distribution of A_C/A_L with distance in the downstream direction (increasing or decreasing). The study showed that the average A_C/A_L value was the most important factor determining the frequency of occurrence and magnitude of floods from a landscape consisting of lake chains. The larger the average A_C/A_L value the more runoff is generated from catchments thus increasing both the occurrence and magnitude of lake overflows. In this case the flood frequency curve reflects that of the catchment area, and lake organization does not play an important role. When A_C/A_L is small the landscape is lake dominated, the spatial organization of lakes has a significant impact on lake connectivity, and consequently on flood frequency. One of the aspects of lake organization that may have a significant influence on lake connectivity is the spatial distribution of A_C/A_L from upstream to downstream (increasing or decreasing). In a landscape in which A_C/A_L increases downstream, lake overflow will occur more frequently relative to a similar landscape (i.e. identical A_C/A_L) with a constant value of A_C/A_L. When A_C/A_L decreases downstream, however, runoff inputs from the upstream parts will trigger lake overflow in the downstream parts, and consequently, full connectivity may be achieved leading to increased flood frequencies.     

鄱阳湖湿地生态功能重要性分区

在分析鄱阳湖湿地自然环境特征和湿地生态系统服务功能特征基础上,利用GIs技术,对鄱阳湖湿地范围进行界定,湿地面积为3886km2.基于湿地生态环境保护和社会经济发展总体要求,按照生态功能区划原理,对湿地进行生态功能重要性分区研究.根据湿地生态功能重要性评价结果将湿地分为极重要区、高度重要区、重要区、一般重要区四个区域,...     

基于随机森林的内陆湖泊水体有色可溶性有机物(CDOM)浓度遥感估算

水体中的有色可溶性有机物(CDOM)是湖泊生态系统中氮、磷等有机营养物质的重要来源,利用卫星遥感数据反演内陆水体中CDOM浓度一直是个挑战.因此本文基于滇池2009年9月、2017年4月以及太湖2016年7月的现场原位观测和室内实验,在分析水体固有光学特性的基础上,引入机器学习算法,建立了基于哨兵-3A OLCI传感器的我国内陆湖泊水体CDOM浓度随机森林反演模型.利用独立的验证数据集对所构建的随机森林模型及常用的波段比值模型、一阶微分模型、半分析模型、BP神经网络模型等的反演精度进行评价.结果表明:随机森林模型的均方根误差为0.14 m-1,平均相对误差为21%,与反演效果相对较好的BP神经网络模型相比,均方根误差降低了50%,平均相对误差降低了38%,反演精度得到了显著的提高.根据随机森林算法的特征重要性参数提供的各自变量影响力结果,发现B11(709 nm)和B6(560 nm)波段贡献率最大,是反演CDOM的敏感波段.最后将随机森林模型应用到滇池2017年4月12日、太湖2017年5月18日的哨兵-3A OLCI影像上,得到滇池、太湖水体CDOM浓度分布图.滇池CDOM浓度的分布特征大致符合东北、西南高,中西部低的趋势,且河口处的CDOM浓度高于湖泊水体,表明径流的输入给滇池水体带来了大量的CDOM.太湖CDOM浓度的分布特征大致符合西部高,湖心区和东部低的趋势.太湖西部以及北部梅梁湾受入湖河流影响较大,CDOM浓度较高,太湖开敞区远离河口处,受外源河流的影响逐渐减小,且由于湖水的不断稀释,CDOM浓度不断降低.太湖东部水生植物很多,湖水较为清澈,CDOM浓度较低.     

Possibilities and limitations of lake restoration: Conclusions for Lake Lugano

In most lakes eutrophication is linked to an excessive input of phosphorus. Lake restoration by reduction of P-input (external measure) has led to a considerable drop of the P-concentration in all major Swiss lakes as well as in many other lakes. Internal restoration measures such as artificial mixing, drainage of hypolimnetic water, flushing, aeration, biomanipulation and others serve to improve and accelerate the response of a lake to external measures. For the case of Lago di Lugano, a simple two-box model is employed to demonstrate that a reduction of the P-input to about 25% of the present values is necessary to reach the P-criterion (P-concentration below 30 µg/l). Internal measures could possibly accelerate the extremely slow response of the northern basin.     

Device for finely resolved sampling of littoral lake regions: Design and operation

Although littoral regions in northern lakes may sustain fish spawning grounds, little is known of the temporal or spatial aspects of their thermal and chemical regimes. This shortcoming is due in part to the difficulty in properly sampling these regions throughout the year with adequate spatial resolution. This problem is especially critical in lakes affected by episodic acidification during the spring snowmelt, a period of substantial importance to fisheries recruitment. A device was constructed to alleviate the problems associated with conventional water quality sampling of littoral regions. Constructed of thick walled polyvinyl chloride and permanently installed in the nearshore regions of an Adirondack lake, the episodic event sampler (EES) provided finely resolved (0.25 m) temperature and water chemistry data during the spring snowmelt period (February to May) of 1989. Although the construction and installation of the sampler represented a significant investment in labour and materials, this was offset by the high quality of the data collected. As the samplers were relatively undamaged by freeze-thaw activity, it is expected that they will continue to provide excellent information for several years.