Aquatic grazers reduce the establishment and growth of riparian plants along an environmental gradient

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安徽新安江干流滩涂湿地草本植物区系及物种多样性

以新安江干流(安徽段)滩涂湿地草本植物群落为研究对象,探讨其区系组成及不同江段物种多样性的变化规律.结果表明:(1)该区共有草本被子植物48科、131属、194种(含种下分类单位);以禾本科(Gramineae)、莎草科(Cyperaceae)、菊科(Compositae)和蓼科(Polygonaceae)为优势科;以蓼属(Polygonum)、莎草属(Cyperus)、大戟属(Euphorbia)和蒿属(Artemisia)等为优势属,属的组成相对较为分散,寡种属和单种属占总属数的97.7％;(2)从分布区类型看,科以世界分布占明显优势(43.8％);属的分布区类型以泛热带分布最多(30.5％),其次是世界分布(26.0％),总体上热带成分略多于温带成分(57/40);表明该区草本植物区系地理成分较为复杂,分布区类型多样,具有热带、亚热带与暖温带的多重性质,但以亚热带性质为主;(3)各滩涂湿地植物群落的建群种、优势种及伴生种的种类等组成特征均存在一定差异,狗牙根(Cynodon dactylon)、双穗雀稗(Paspalum distichum)和假俭草(Eremochloa ophiuroides)等为滩涂湿地的主要优势种;江段干流不同流域滩涂湿地草本植物群落的α多样性的变化格局与丰富度指数的变化格局比较一致,总体上呈现逐渐减小的趋势,表现为上游＞中游＞下游;与之相反,植物群落的β多样性——相异性系数和Cody指数总体上呈现上升的格局.这种多样性格局的成因需要进一步分析和探讨.     

珠海鹤洲水道沿岸红树林湿地大型底栖动物群落特征

对珠海鹤洲水道沿岸的4个红树人工林(包括老鼠簕Acanthus ilicifolius、木榄Bruguiera gymnorrhiza、秋茄Kandelia candel和无瓣海桑Sonneratia apetala)样地和2个挺水植被(短叶茳芏Cyperus malaccensis和芦苇Phragmites australis)样地的大型底栖动物群落进行为期一年(2010年12月、2011年3、6、9月共4次野外采样)的生物调查。研究与分析了大型底栖动物的种类、生活型及功能群、栖息密度、平均生物量、多样性指数等群落特征,并结合等级聚类和非参数多变量标序(MDS)方法对大型底栖动物的群落结构进行深入探讨。本调查共采集大型底栖动物35种,包括环节动物(7种)、软体动物(10种)、甲壳动物(10种)、鱼类(1种)和其他无脊椎动物(7种)。优势种包括谭氏泥蟹(Ilyrplax deschampsi)(占总个体数的34%)、麦克碟尾虫(Discapseudes mackiei)(占总个体数的25%)、羽须鳃沙蚕(Dendronereis prinnaticirris)(占总个体数的12%)。在6种生境类型中,老鼠簕站位大型底栖动物物种数量最多,为19种,均匀度和多样性指数均较高;短叶茳芏样地大型底栖动物栖息密度最高,为254.7 ind/m2,但是多样性指数(H"=1.25)最低;无瓣海桑站位平均生物量最高,为32.0613 g/m2。研究结果表明：(1)不同生境下大型底栖动物群落结构存在显著差异,尤其是无瓣海桑站位,无论群落结构、优势种还是生活型等都与其它站位有明显不同;(2)围垦区人工湿地与自然滩涂大型底栖动物群落结构差异显著;(3)潮汐作用对大型底栖动物群落结构影响显著。     

基于光谱特征变量的湿地典型植物生态类型识别方法——以北京野鸭湖湿地为例

光谱特征变量的选择对于湿地植被识别的精度和效率有着直接的影响作用.以华北地区典型的淡水湿地——野鸭湖湿地为研究区,采用Field Spec 3野外高光谱辐射仪,获取了野鸭湖典型湿地植物的冠层光谱.以野外高光谱数据为基础,首先利用一阶导数与包络线去除的方法,分析和对比不同植物生态类型的光谱特征,选定了用于识别植物生态类型的光谱特征变量,选定的8个光谱特征变量为红边位置WP_r、红边幅值Dr、绿峰位置WP_g、绿峰幅值Rg、510 nm附近的吸收深度DEP-510和吸收面积AREA-510、675 nm附近的吸收深度DEP-675和吸收面积AREA-675.其中,7种植物生态类型的一阶导数光谱特征差异较小,吸收特征差异性相对较大.除WP_r和WP _g外,沉水植物Rg和Dr平均值最低,湿生植物的Rg平均值最高,达到0.164,栽培植物的Dr平均值最高,达到0.012.7种植物生态类型在675 nm附近的DEP-675和AREA-675均高于510 nm附近的DEP-510与AREA-510,除去栽培植物,随着水分梯度的变化,其他6种植物生态类型的吸收深度和吸收面积都表现出先升高后降低的趋势.然后利用单因素方差分析(One-way ANOVA)验证了所选光谱特征变量的区分度,在P≤0.01的置信水平下,选取的8个光谱特征变量都能够较好的区分7种植物生态类型,区分度的最小值为13,最大值为18,并且吸收特征参数的区分度优于一阶导数参数.最后应用非线性的反向传播人工神经网络(BP-ANN)与线性判别分析(FLDA)的类型识别方法,利用选定的8个光谱特征变量进行湿地植物生态类型识别,取得了较好的识别精度,两种方法的总分类精度分别达到85.5％和87.98％.单因素方差分析(One-way ANOVA)和不同分类器的分类精度表明,所选的8个光谱特征变量具有一定的普适性和可靠性.     

河漫滩湿地生态阈值——以二卡自然保护区为例

以典型河漫滩湿地 —— 二卡自然保护区为研究区域,进行生态阈值研究。根据湿地补给河流 —— 海拉尔河的月均流量频率分布特征,选取58.72 m³/s(P=74.6%)、119.26 m³/s(P=44.4%)、190.35 m³/s(P=23.8%)分别代表河流的低、中、高径流期,分析各径流期湿地分布特征。结果表明,低、中径流期内草本沼泽及盐化沼泽所占比例较高,而高径流期则以季节性河流湿地及湖泊湿地为主。低径流期内,作为湿地中心区的湖泊湿地景观破碎度出现一个较明显的跃变,由中径流期的0.57增加到1.37。此时的湿地状态可近似的作为区域的生态阈值,即维持湿地面积占全区域面积的43.03%。而中、高径流期湿地面积比例可近似作为保护区湿地面积的适宜值和理想值,分别为53.66%和69.53%。其研究结果为二卡自然保护区的管理及保护提供支持,并为河漫滩湿地研究提供思路。     

湿地自然保护区保护价值评价方法

提出了一套侧重水鸟保护的湿地自然保护区保护价值评价方法.该方法建立的指标体系经过专家咨询和会议讨论确定指标,采用层次分析法(AHP)建立了递阶层次结构模型.指标体系共分为目标层1项、系统层5项、准则层11项和指标层26项.将获取资料的湿地自然保护区按国家有关分类标准与原则归为3个类型(海洋与海岸生态系统类型、内陆湿地与水域生态系统类型和野生动物类型),每个类型内的自然保护区再结合自身湿地主体进一步划分为4个小类型(近海与海岸湿地、河流湿地、湖泊湿地、沼泽湿地).实例分析了海洋与海岸生态系统类型中的以近海及海岸湿地为主体的自然保护区,内陆湿地与水域生态系统类型中的以沼泽湿地为主体的自然保护区和野生动物类型中的以河流湿地为主体的自然保护区,并依照保护价值指数进行了等级划分.为湿地自然保护区的保护价值和发展地位,总体规划和改建变更提供了依据.     

How landscape scale changes affect ecological processes in conservation areas: external factors influence land use by zebra (Equus burchelli) in the Okavango Delta

Most large‐bodied wildlife populations in sub‐Saharan Africa only survive in conservation areas, but are continuing to decline because external changes influence ecological processes within reserves, leading to a lack of functionality. However, failure to understand how landscape scale changes influence ecological processes limits our ability to manage protected areas. We used GPS movement data to calculate dry season home ranges for 14 zebra mares in the Okavango Delta and investigated the effects of a range of landscape characteristics (number of habitat patches, mean patch shape, mean index of juxtaposition, and interspersion) on home range size. Resource utilization functions (RUF) were calculated to investigate how specific landscape characteristics affected space use. Space use by all zebra was clustered. In the wetter (Central) parts of the Delta home range size was negatively correlated with the density of habitat patches, more complex patch shapes, low juxtaposition of habitats and an increased availability of floodplain and grassland habitats. In the drier (Peripheral) parts of the Delta, higher use by zebra was also associated with a greater availability of floodplain and grassland habitats, but a lower density of patches and simpler patch shapes. The most important landscape characteristic was not consistent between zebra within the same area of the Delta, suggesting that no single foraging strategy is substantially superior to others, and so animals using different foraging strategies may all thrive. The distribution and complexity of habitat patches are crucial in determining space use by zebra. The extent and duration of seasonal flooding is the principal process affecting habitat patch characteristics in the Okavango Delta, particularly the availability of floodplains, which are the habitat at greatest risk from climate change and anthropogenic disturbance to the Okavango's catchment basin. Understanding how the factors that determine habitat complexity may change in the future is critical to the conservation of large mammal populations. Our study shows the importance of maintaining flood levels in the Okavango Delta and how the loss of seasonal floodplains will be compounded by changes in habitat configuration, forcing zebra to change their relative space use and enlarge home ranges, leading to increased competition for key resources and population declines.     

Microbial composition affects the functioning of estuarine sediments

Although microorganisms largely drive many ecosystem processes, the relationship between microbial composition and their functioning remains unclear. To tease apart the effects of composition and the environment directly, microbial composition must be manipulated and maintained, ideally in a natural ecosystem. In this study, we aimed to test whether variability in microbial composition affects functional processes in a field setting, by reciprocally transplanting riverbed sediments between low- and high-salinity locations along the Nonesuch River (Maine, USA). We placed the sediments into microbial ‘cages'' to prevent the migration of microorganisms, while allowing the sediments to experience the abiotic conditions of the surroundings. We performed two experiments, short- (1 week) and long-term (7 weeks) reciprocal transplants, after which we assayed a variety of functional processes in the cages. In both experiments, we examined the composition of bacteria generally (targeting the 16S rDNA gene) and sulfate-reducing bacteria (SRB) specifically (targeting the dsrAB gene) using terminal restriction fragment length polymorphism (T-RFLP). In the short-term experiment, sediment processes (CO₂ production, CH₄ flux, nitrification and enzyme activities) depended on both the sediment''s origin (reflecting differences in microbial composition between salt and freshwater sediments) and the surrounding environment. In the long-term experiment, general bacterial composition (but not SRB composition) shifted in response to their new environment, and this composition was significantly correlated with sediment functioning. Further, sediment origin had a diminished effect, relative to the short-term experiment, on sediment processes. Overall, this study provides direct evidence that microbial composition directly affects functional processes in these sediments.     

The Auchenorrhyncha fauna of peat bogs in the Austrian part of the Bohemian Forest (Insecta,Hemiptera)

The first overview on the Auchenorrhyncha fauna of peat bogs of the Austrian Bohemian Forest is presented. Seven oligotrophic peat bog sites were studied in 2011 by suction sampler (“G-Vac”) and 93 Auchenorrhyncha species (with 7465 adult specimens) were recorded. Eleven species (about 18 % of the individuals) are tyrphobiontic or tyrphophilous. The relative species abundance plot is not very steep; the six most abundant species represent 50 % of the individuals. The most common species is Conomelus anceps (17 % of the individuals). Compared to the whole Austrian Auchenorrhyncha fauna, the fauna of peat bogs comprises distinctly more univoltine species and more species hibernating in nymphal stage. Densities of adult Auchenorrhyncha in peat bogs are low in spring (about 10–60 individuals per m²) and high in July, with up to 180 (±50) individuals per m². Disturbed peat bogs have higher species numbers and higher Auchenorrhyncha densities in total, but lower numbers and densities in peat bog specialists.     

Hidden areas of endemism: Small units in the South-eastern Neotropics

This study aimed to establish if the Lower Río de la Plata Basin (LRPB) wetlands can be considered a biogeographic unit. The species of this area were compiled and segregated according to the habitat, selecting only 87 endemic taxa restricted to the LRPB and linked to wetlands. Distributional data of species obtained from the literature, web databases, biological collections, and field trips were georeferenced. The areas of endemism were established as those areas where the distribution of two or more taxa overlaps in groups of rivers’ sections with geographic continuity and were tested with a cluster analysis. This congruence is due to ecological, geomorphological, and historical factors. Four areas of endemism were found: a broad area that comprises the whole study area (Riverine district), which is divided into three nested smaller areas (Paraguay–Paraná Flooding Valleys, Uruguay Basin, and Paraná Delta subdistricts). Then, we analysed 170 taxa distributions to evaluate the relationship between the study area and the neighbouring biogeographic units. According to the results, the study area belongs to the Paraná biogeographic province. Some areas of endemism are hidden inside broader areas and are hardly detected with the currently used biogeographic grid-methods. We propose to combine the information about ecological requirements of each taxon with its georeferenced records to estimate their areas of distribution as a primary step for searching areas of endemism in intracontinental studies.