Biological Connectivity of Seasonally Ponded Wetlands across Spatial and Temporal Scales

Many species that inhabit seasonally ponded wetlands also rely on surrounding upland habitats and nearby aquatic ecosystems for resources to support life stages and to maintain viable populations. Understanding biological connectivity among these habitats is critical to ensure that landscapes are protected at appropriate scales to conserve species and ecosystem function. Biological connectivity occurs across a range of spatial and temporal scales. For example, at annual time scales many organisms move between seasonal wetlands and adjacent terrestrial habitats as they undergo life‐stage transitions; at generational time scales, individuals may disperse among nearby wetlands; and at multigenerational scales, there can be gene flow across large portions of a species’ range. The scale of biological connectivity may also vary among species. Larger bodied or more vagile species can connect a matrix of seasonally ponded wetlands, streams, lakes, and surrounding terrestrial habitats on a seasonal or annual basis. Measuring biological connectivity at different spatial and temporal scales remains a challenge. Here we review environmental and biological factors that drive biological connectivity, discuss implications of biological connectivity for animal populations and ecosystem processes, and provide examples illustrating the range of spatial and temporal scales across which biological connectivity occurs in seasonal wetlands.     

富营养水体中常绿水生植被组建及净化效果研究

1992～1993年在富营养湖泊五里湖中开展了常绿型人工水生植被组建实验,在面积为2000m²的半封闭式围隔实验区中,选用耐寒植物伊乐藻和喜温植物菱及风眼莲,组建成了常绿型人工水生植被。这种常绿型人工水生植被不仅使实验区内常年保持较好的水质,而且对外来污染冲击有很强的缓冲能力。它可用于水源保护、局部性水质控制、污水净化生态工程、小型富营养水体的生态恢复等。如能解决耐寒型沉水植物伊乐藻与喜温型沉水植物种类间的衔接过渡,这种常绿型人工水生植被技术还可望用于富营养水体中天然水生植被的恢复。     

RESPONSE OF NORTH AMERICAN FRESHWATER LAKES TO SIMULATED FUTURE CLIMATES1

ABSTRACT: We apply a physically based lake model to assess the response of North American lakes to future climate conditions as portrayed by the transient trace-gas simulations conducted with the Max Planck Institute (ECHAM4) and the Canadian Climate Center (CGCM1) atmosphere-ocean general circulation models (A/OGCMs). To quantify spatial patterns of lake responses (temperature, mixing, ice cover, evaporation) we ran the lake model for theoretical lakes of specified area, depth, and transparency over a uniformly spaced (50 km) grid. The simulations were conducted for two 10-year periods that represent present climatic conditions and those around the time of CO₂ doubling. Although the climate model output produces simulated lake responses that differ in specific regional details, there is broad agreement with regard to the direction and area of change. In particular, lake temperatures are generally warmer in the future as a result of warmer climatic conditions and a substantial loss (> 100 days/yr) of winter ice cover. Simulated summer lake temperatures are higher than 30°C over the Midwest and south, suggesting the potential for future disturbance of existing aquatic ecosystems. Overall increases in lake evaporation combine with disparate changes in A/OGCM precipitation to produce future changes in net moisture (precipitation minus evaporation) that are of less fidelity than those of lake temperature.     

长江中下游平原三个湖泊表层沉积物对磷的吸附特征

以长江中下游太湖、巢湖和龙感湖等3个湖泊表层沉积物(0～1cm)为对象,研究了不同沉积物对湖水中磷的吸附特性,并探讨了沉积物表面特性和化学组分等因素对磷的吸附行为的影响.结果表明:表层沉积物对磷的吸附作用主要发生在快吸附过程的前1～2h之内;湖泊表层沉积物对磷的吸附基本符合修正后的Langmuir型等温方程,不同采样点的表层沉积物中本底磷吸附量(QNAP)以及磷饱和吸附量(Qmax)差别显著,与采样点所处环境条件有很大关系.同时,沉积物的饱和吸附量与比表面积、活性铁、铝含量和有机质含量有较好的正相关性,相关系数分别为0 92,0 98,0 78和0 96;活性铁、铝含量与有机质含量之间也有较好的正相关性;颗粒物Zeta电位在一定程度上影响沉积物对磷的吸附能力.     

A remote sensing tool for near real-time monitoring of harmful algal blooms and turbidity in reservoirs

Harmful algal blooms (HABs) diminish the utility of reservoirs for drinking water supply, irrigation, recreation, and ecosystem service provision. HABs decrease water quality and are a significant health concern in surface water bodies. Near real-time monitoring of HABs in reservoirs and small water bodies is essential to understand the dynamics of turbidity and HAB formation. This study uses satellite imagery to remotely sense chlorophyll-a concentrations (chl-a), phycocyanin concentrations, and turbidity in two reservoirs, the Grand Lake O′ the Cherokees and Hudson Reservoir, OK, USA, to develop a tool for near real-time monitoring of HABs. Landsat-8 and Sentinel-2 imagery from 2013 to 2017 and from 2015 to 2020 were used to train and test three different models that include multiple regression, support vector regression (SVR), and random forest regression (RFR). Performance was assessed by comparing the three models to estimate chl-a, phycocyanin, and turbidity. The results showed that RFR achieved the best performance, with R² values of 0.75, 0.82, and 0.79 for chl-a, turbidity, and phycocyanin, while multiple regression had R² values of 0.29, 0.51, and 0.46 and SVR had R² values of 0.58, 0.62, and 0.61 on the testing datasets, respectively. This paper examines the potential of the developed open-source satellite remote sensing tool for monitoring reservoirs in Oklahoma to assess spatial and temporal variations in surface water quality.     

Enhancing perspectives on lake impairments using satellite observations: A case study on High Rock Lake,North Carolina

Stakeholders developing water quality improvement plans for lakes and reservoirs are challenged by the sparsity of in-situ data and the uncertainty ingrained in management decisions. This study explores how satellite images can fill gaps in water quality databases and provide more holistic assessments of impairments. The study site is an impaired water body that is serving as a pilot for improving state-wide nutrient management planning processes. An existing in-situ database was used to calibrate semi-analytical models that relate satellite reflectance values to turbidity and total suspended solids (TSS). Landsat-7 images from 1999 to 2020 that overpass High Rock Lake, North Carolina were downloaded and processed, providing 42 turbidity and 39 TSS satellite and in-situ match-ups for model calibration and validation. Model r-squared values for the fitted turbidity and TSS models are 0.72 and 0.74, and the mean absolute errors are 14.6 NTU and 3.2 mg/L. The satellite estimates were compared to the in-situ data and simulated TSS values produced by a calibrated hydrologic-hydrodynamic model. The process-based model is considered less accurate than the satellite model based on statistical performance metrics. Comparisons between data sources are illustrated with time series plots, frequency curves, and aggregate decision metrics to highlight the dependence of lake impairment assessments on the spatial and temporal frequency of available data and model accuracy.     

湖北省湖泊大型底栖动物群落结构及水质生物学评价

大型底栖动物是湖泊生态系统的重要生物类群,在生态系统物质循环和能量流动中起着重要作用。底栖动物具有生命周期长、迁移能力较弱、对环境变化反应敏感等特点,可有效指示湖泊生态系统的健康状况。湖北省是我国淡水湖泊分布最密集的区域之一,湖泊总面积为3025 km2。近年来,伴随着工农业、养殖业及城市化的快速发展,富营养化已成为本地区湖泊面临的一个主要环境问题,并可能直接影响大型底栖动物的群落结构。目前关于本地区湖泊大型底栖动物群落的研究还较少,为此本研究对湖北省27个浅水湖泊底栖动物进行了调查,并对水质状况进行生物学评价。共采集到底栖动物40种,隶属于4门7纲18科,其中寡毛类5种,摇蚊幼虫16种,软体动物双壳类4种、腹足类8种。霍甫水丝蚓（Limnodrilus hoffmeisteri）、苏氏尾鳃蚓（Branchiura sowerbyi）、花翅前突摇蚊（Procladius choreus）、中国长足摇蚊（Tanypus chinensis）、多巴小摇蚊（Microchironomus tabarui）及铜锈环棱螺（Bellamya aeruginosa）是本地区湖泊最常见的种类。所调查湖泊底栖动物平均密度为32~1243 ind·m-2,其中12个湖泊密度低于200 ind·m-2,摇蚊幼虫和寡毛类对密度的贡献较大,以摇蚊幼虫占优势的湖泊有19个。底栖动物平均生物量为0.034~460.7 g·m-2,生物量低于50 g·m-2的湖泊数量最多（19个）,软体动物占优势的湖泊有16个,摇蚊幼虫和寡毛类占优势的湖泊数量共11个。各湖泊底栖动物物种数为3~14种,Margalef指数为0.71~2.33,Simpson指数为0.69~0.85,Shannon-Wiener为0.78~2.13,Spearman相关性分析结果显示物种丰富度和三种多样性指数与湖泊面积呈显著正相关。BI（Hilsenhoff生物指数）评价结果显示共11个湖泊为一般和轻度污染（6.01~7.44）,中度污染湖泊数量为13个（7.57~8.47）,长湖（8.52）、上津湖（8.65）和玉湖（8.50）处于重污染状态。     

东湖、汤逊湖和梁子湖沉积物磷形态及pH对磷释放的影响

文章采用淡水沉积物中磷形态标准测试程序(SMT)研究了东湖、汤逊湖和梁子湖沉积物中磷的形态分布,并比较了不同pH条件下沉积物磷释放特征的差异性。结果表明:东湖沉积物总磷质量分数最高,平均值1.232 mg.g-1,其次为汤逊湖(0.762mg.g-1),梁子湖沉积物总磷质量分数最低(0.572 mg.g-1);3个湖泊上覆水总磷质量浓度也表现出类似的变化规律,线性相关性分析显示上覆水中总磷质量浓度与沉积物总磷质量分数显著正相关。东湖和梁子湖沉积物总磷中无机磷和有机磷所占比例较接近,汤逊湖无机磷所占比例远低于有机磷。不同湖泊之间磷形态的分布并没有一定的规律性,湖泊的地理分布以及人为因素可能是造成磷形态差异的主要因素。当pH为2.0~7.0时,3个湖泊沉积物中溶解性活性磷(SRP)释放量均呈先增加后减小的趋势;当pH为7.0~12.0时,SRP释放量呈增加趋势。相关分析结果表明,SRP的释放与有机质的质量分数无显著相关性。方差分析结果显示3个湖泊沉积物在黏粒和粉粒组成上均没有显著差异(P>0.1),表明实验样品的粒径组成不是造成各个湖泊间磷释放差异的原因。不同pH条件下,SRP释放量与沉积物总磷质量分数显著正相关;酸性环境下,SRP释放量与酸式磷(HCl-P)的相关性优于碱式磷(NaOH-P),碱性环境下则刚好相反。     

再生水补给城市河湖水生态系统构建及管护技术体系研究应用—以圆明园为例

提出了"再生水水源补给城市河湖水生态系统构建及管护技术体系",并在圆明园开展了推广应用,设计建设了近70 hm2再生水水源补给城市河湖水生态系统构建及管护示范区.结果表明,该技术可有效改善水体景观、水质及水生态状况:浊度明显降低,示范区浊度大多小于3NTU(饮用水浊度国家标准1NTU),感官效果明显优于修复前;总磷平均...     

典型喀斯特城市湖库溶解性有机质成分特征及来源解析

为探索喀斯特城市湖库溶解性有机质（DOM）成分特征及来源信息,以我国贵阳市重要喀斯特湖库——红枫湖、百花湖、松柏山水库和阿哈水库为研究对象,分析了表层水体溶解性有机碳（DOC）、叶绿素a（Chla）和DOM光学参数(a₂₅₄、a₂₈₀、a₃₅₀、 E2∶E3、S_275-295、 FI、β:α、 BIX、 HIX)的空间差异,同时利用荧光吸收峰（B、 T、 A、 M、 C、 D、 N）和三维荧光平行因子分析（EEM-PARAFAC）解释DOM各成分丰度及占比状况,并运用Spearman相关分析及主成分分析（PCA）揭示DOM参数的相关性和主要环境过程.结果表明,喀斯特城市湖库ρ（DOC）和ρ（Chla）范围分别为4.24～11.9 mg·L^-1和0.32～19.7μg·L^-1,松柏山水库腐殖质(a₂₅₄)和芳香类蛋白质(a₂₈₀)较高,导致相对分子质量(E2∶E3和S_275-295)高于其它湖...