鄱阳湖国家级自然保护区湿地植被的干旱响应及影响因素

近年来鄱阳湖干旱事件频发,干旱导致的气象水文要素变化直接影响植被生长状况,尤其是对于地上植被生物量的影响极为显著.研究鄱阳湖干旱事件对于湿地植被的影响,对于保护鸟类栖息地,认识湿地生态功能和结构的变化具有重要的现实意义.利用长期卫星遥感数据,结合植被生物量野外调查,以2003和2006年极端干旱年份为出发点,从湿地植被面积、生物量密度和总生物量的角度分析了鄱阳湖湿地植被生物量对于极端干旱的响应.研究表明:湿地植被面积、生物量密度以及总生物量均呈现双峰分布特征,在4和11月分别达到上、下半年的峰值.2003年植被生物量与多年均值一致,2006年下半年植被面积、生物量密度以及总生物量均明显超出多年均值.影响湿地植被面积的主要因素为鄱阳湖水位变化;而影响植被生物量密度的主要因素为气温和水位,退水时间提前对于生物量密度影响最大;总生物量同时受到植被面积与植被生物量密度的综合影响,其中植被面积的影响更大,植被面积对于总生物量的影响在2006年表现得比2003年更加显著.总之,2006年湿地植被对水文干旱的响应要比气象干旱强烈得多.     

Spatial organization of macroinvertebrate assemblages in the Lower Mekong Basin

In this study, we investigated patterns of spatial variation in macroinvertebrate assemblages in the Lower Mekong Basin (LMB) and examined their relationship with environmental factors. Cluster analysis was used to group macroinvertebrate samples and Linear Discriminant Analysis was performed to discriminate the major factors associated with the macroinvertebrate assemblages. Four clusters could be distinguished based on the dissimilarity between macroinvertebrate assemblages. The assemblages related to the tributaries and the upstream parts (cluster II) were characterized by a lower richness, abundance, diversity and a lower number of indicator taxa compared to the assemblage found downstream in the Mekong delta (cluster I). Aquatic insects and their indicator taxa (e.g. Caenodes sp., Dipseudopsis sp. and Gomphidae sp.), preferring a high-altitude environment with a high dissolved oxygen concentration and a high density of wood/shrub and evergreen forests, were the most predominant group in the assemblages occupying the tributaries and the upstream parts (cluster IIa). The assemblage found in the delta, consisting largely of molluscs and a moderate richness and abundance of worms, crustaceans and dipteran insects, was mainly represented by Corbicula leviuscula and C. moreletiana (molluscs), Namalycastis longicirris and Chaetogaster langi (worms), Corophium minutum and Grandidierella lignorum (crustaceans), and Cricotopus sp. and Clinotanypus sp. (dipteran insects). This assemblage was associated with a large watershed surface area, deep and wide rivers and a high water temperature. The intermediate assemblage (cluster IIb1) in-between could be discriminated based on land cover types including inundated, wetland and agricultural land, and was represented most by molluscs. Strikingly, the assemblage occupying the upstream parts (cluster IIa), which is related to intensified agriculture and a moderate conductivity, was characterized by a higher macroinvertebrate diversity compared to the mountainous and less impacted tributaries. This could mean that the natural stress is high in these systems for some taxa, leading to a lower overall taxonomic richness and abundance. Nevertheless, the number of taxa and the diversity of macroinvertebrates remained relatively high across the basin, especially in the delta assemblage. Therefore, the LMB deserves a particular attention for conservation.     

基于遥感反射率的太湖优势藻识别方法

我国淡水湖库频发水华,不同类群形成的水华特征、危害及其治理方法差异显著,因此,如何区分不同藻种的遥感反射率特征,获取湖泊优势种信息是一个亟待解决的科学问题。研究基于室内藻种培养实验,培养了富营养化湖泊中的典型蓝藻和绿藻藻种,其中,蓝藻包括铜绿微囊藻（Microcystis aeruginosa）、假鱼腥藻（Pseudanabaenasp．）和束丝藻（Aphanizomenonsp．）,绿藻包括小球藻（Chlorellasp．）以及四尾栅藻（Scenedesmus quadricauda）;基于实测的遥感反射率,经归一化处理后,分析了不同藻种的遥感反射率特征,构建了DI(difference index)指数以及ADI(algae distinguish index)指数,建立了藻种分类模型,利用验证集数据进行检验,整体识别精度达77.55%,Kappa系数为0.7178。将分类方法应用于太湖野外实测遥感反射率数据集中,结果与实测的生物量数据有较好的匹配;将模型应用于太湖OLCI(ocean and land colour instrument)影像数据,获得了2019年12月和2020...     

氮、磷供给比例对实验微藻群落结构的影响

生态理论预测,生境筛选和物种竞争可能会联合影响生物群落结构.然而,通过实验手段检测两者对群落结构的影响作用,特别是两者的作用效果是否会随时间推移而发生改变的研究还十分有限.本研究构建了实验微藻群落系统,通过改变微藻生长发育所必须的2种限制性因子氮素和磷素的供给比例,对微藻的结构特征及各微藻组分的种群动态变化进行持续跟踪,并通过对各微藻进行单一培养的方式来获取相关的性状指数,用以反映各微藻的耐低氮或耐低磷能力,进而检验生境筛选和物种竞争对微藻群落的影响作用,以及两者作用效果随时间推移而发生的改变.结果表明,生境筛选和物种竞争对微藻群落结构的影响会随着时间的推移而发生变化:实验初期生境筛选和物种竞争的影响作用均较弱;实验中期生境筛选发挥着较为重要的作用,具体表现在水体中氮素和磷素的供给比例直接影响了具有不同耐低氮或耐低磷能力的微藻种群数量分布;而实验末期物种竞争发挥着较为关键的作用,其中纤细角星鼓藻成为绝对优势种,而部分微藻因为竞争排斥作用而从系统中消失.未来的研究应全面考虑不同的时序变化和空间结构下生境筛选和物种竞争对群落结构的综合影响作用.     

Species selection and assessment of eco-engineering effects of seedlings for biogeomorphological landscape experiments

Landscape experiments of fluvial environments such as rivers and deltas are often conducted with live seedlings to investigate effects of biogeomorphological interactions on morphology and stratigraphy. However, such experiments have been limited to a single species, usually alfalfa (Medicago sativa), whereas important environments in nature have many different vegetation types and eco-engineering effects. Landscape experimentation would therefore benefit from a larger choice of tested plant species. For the purpose of experimental design our objective was to identify fast-germinating and fast-growing species and determine their sensitivity to flow conditions during and after settling, their maximum growth, hydraulic resistance and added bank strength. We tested germination time and seedling growth rate of 18 candidate species with readily available seeds that are fast growing and occur at waterlines, plus Medicago sativa as a control. We selected five species that germinate and develop within days and measured properties and eco-engineering effects depending on plant age and density, targeting typical experimental conditions of 0–0.3 m/s flow velocity and 0–30 mm water depth. Tested eco-engineering effects include bank strength and flow resistance. We found that Rumex hydrolapathum can represent riparian trees. The much smaller Veronica beccabunga and Lotus pedunculatus can represent grass and saltmarsh species as they grow in dense patches with high flow resistance but are readily erodible. Sorghum bicolor grows into tall, straight shoots, which add significantly to bank strength, but adds little flow resistance and may represent sparse hardwood trees. Medicago sativa also grows densely under water, suggesting a use for mangroves and perhaps peat. In stronger and deeper flows the application of all species changes accordingly. These species can now be used in a range of landscape experiments to investigate combined effects on living landscape patterns and possible facilitation between species. The testing and treatment methodology can be applied to new species and other laboratory conditions. © 2019 The Authors. Earth Surface Processes and Landforms Published by John Wiley & Sons Ltd. © 2019 The Authors Earth Surface Processes and Landforms Published by John Wiley & Sons Ltd © 2019 The Authors Earth Surface Processes and Landforms Published by John Wiley & Sons Ltd.     

加权整体最小二乘EIO模型与算法

构造了加权整体最小二乘EIO(errors-in-observations)模型,只改正独立观测值,观测值协因数阵最简洁,可克服EIV模型缺陷。基于EIO模型推导了参数估计和协因数阵精确迭代算法,实例结果正确,计算效率高。     

Is There Any Correlation Between Landscape Characteristics and Total Nitrogen in Wetlands Receiving Agricultural Drainages?

In the case of increasing fragmentation of wetlands, the study of the relationship between wetland landscape characteristics and total nitrogen(TN) in water is of great significance to reveal the mechanism of wetland water purification. Taking the Naoli River(NR) wetlands in Northeast China as the research object, 10 uniformly distributed sampling sites in the study area were sampled in August 2015 to test the TN concentration and interpret the images of NR wetlands in the same period. Taking the sampling site as the control point, the whole wetlands were divided into 10 regions, and the landscape index of each region was extracted. In order to reveal whether the landscape characteristics are related to the TN concentration in the wetlands water body, the landscape index and the TN concentration in the control point water body were analyzed by correlation analysis, step-by-step elimination analysis and path analysis to reveal whether the landscape characteristics are related to the TN concentration under wetlands receiving agricultural drainages. The results showed that the correlation coefficients between four area indexes or eight shape indexes and TN concentration did not reach a significant correlation level(P > 0.05), indicating that TN removal was not only determined by a single landscape index. The path coefficient of edge density(ED) index is –0.41, indicating that wetland patch connectivity is the primary factor of TN removal, and there is no relationship between the larger patch area and the higher TN removal. The removal of TN in wetlands is restricted by the synergistic effect of landscape area and shape characteristics.     

空间直线拟合的PEIV模型的构建与解法

针对空间直线拟合不宜直接采用总体最小二乘算法和混合总体最小二乘算法的问题,提出一种基于PEIV模型的总体最小二乘法的空间直线拟合算法。首先将空间直线的标准方程进行变换,改写为总体最小二乘的EIV模型;然后针对系数矩阵的特点,将模型转换为更加合理的PEIV模型,线性化成类似于最小二乘间接平差形式,采用迭代的方法求解拟合参数。平差过程保证了系数矩阵重复元素的改正数一致,常数元素的改正数为零,符合实际理论;最后,通过算例比较验证了该方法的可行性和优越性。     

优化采样策略下长江口潮间带大型底栖生物物种丰富度的估算

在异质性潮间带湿地中通过野外采样估算大型底栖动物物种丰富度,面临的挑战是统计上精确性的要求与实际采样难度之间的矛盾。为了解决这个问题,本研究通过对采样策略整个过程的三个主要部分进行优化设计（优化采样方法、确定最少采样效力、探索最佳的采样间距）,以期在中国长江河口典型的潮间带湿地中获得一个优化、有效和实用的大型底栖动物采样策略。本研究选取了横断面采样方法,并根据典型栖息地类型（潮滩、潮沟、盐沼植被）进行分层优化采样,这种类型的采样也称为横断面分层抽样。最少采样效力和最佳的采样间距由两个数学方法确定：蒙特·卡洛模拟和物种累积曲线。结果表明,根据典型栖息地类型优化的横断面分层采样,在大为减少采样效力和劳动力的情况下,还能采集样地81%物种,优化效果明显。同时,还分别确定了三类栖息地的最佳采样间隔和最小采样效力：在盐沼植被中,采样效力需要超过1.8 m2,最佳采样间隔为10 m;在潮滩中,最小采样效力2 m2,最佳采样间隔为10 m;在潮沟中,采样效力为3 m2,间隔为1 m。不同栖息地类型之间最小采样效力和最佳采样间隔的差异可能受到优势物种的迁移范围和栖息地的物理差异（例如潮汐水文、底泥、植被覆盖）的影响。本研究所采用的优化采样策略在平衡采样效力的情况下,为大型底栖动物丰富度估算提供良好的精度。此外,在河口湿地进行大型底栖动物调查之时,本研究的结论能提供采样策略参考。本研究所采用的采样策略设计注重采样的三个关键部分,具有良好的采样效果,可作为栖息地管理或生态系统评估的野外实地采样指南。