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。     

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。     

稳定碳同位素在滨海湿地碳生物地球化学循环中的应用

碳作为滨海湿地中重要的生命元素,其生物地球化学循环过程是滨海湿地研究的核心内容之一.稳定同位素技术越来越多地被应用到滨海湿地碳生物地球化学循环过程的研究中,提高了其研究水平,并推动了其研究的进程.本文从有机物质生产、土壤有机质来源、食物链传递、温室气体排放以及可溶性有机碳输出5个方面,综述了滨海湿地碳生物地球化学循环过程的稳定同位素研究进展.通过植物及土壤δ13C值的测定进行有机质的生产机理研究及外源追溯,通过对比各生物种群的δ13C值分析碳在生态系统中的流动过程,通过湿地排放温室气体及可溶性有机碳δ13C值的测定揭示影响碳输出的环境因子.最后,文章总结了当前研究中存在的问题,并对其研究前景进行了展望.     

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.     

Red mud (RM)-Induced enhancement of iron plaque formation reduces arsenic and metal accumulation in two wetland plant species

Human activities have resulted in arsenic (As) and heavy metals accumulation in paddy soils in China. Phytoremediation has been suggested as an effective and low-cost method to clean up contaminated soils. A combined soil-sand pot experiment was conducted to investigate the influence of red mud (RM) supply on iron plaque formation and As and heavy metal accumulation in two wetland plant species (Cyperus alternifolius Rottb., Echinodorus amazonicus Rataj), using As and heavy metals polluted paddy soil combined with three rates of RM application (0, 2%, 5%). The results showed that RM supply significantly decreased As and heavy metals accumulation in shoots of the two plants due to the decrease of As and heavy metal availability and the enhancement of the formation of iron plaque on the root surface and in the rhizosphere. Both wetland plants supplied with RM tended to have more Fe plaque, higher As and heavy metals on roots and in their rhizospheres, and were more tolerant of As and heavy metal toxicity. The results suggest that RM-induced enhancement of the formation of iron plaque on the root surface and in the rhizosphere of wetland plants may be significant for remediation of soils contaminated with As and heavy metals.     

基于MODIS数据的松嫩平原西部芦苇湿地地上生物量遥感估算

芦苇作为湿地生态系统中重要的群落类型,其地上生物量是衡量湿地生态系统质量的关键指标。应用面向对象的土地覆盖分类技术,基于多季相Landsat8 OLI遥感数据,提取松嫩平原西部芦苇湿地分布信息;依托野外实测芦苇地上生物量数据(AGB)和同期MODIS数据源的NDVI、EVI、RVI、MSAVI和WDVI 5种光谱植被指数,探讨不同光谱植被指数对芦苇AGB的敏感性,进而构建松嫩平原西部芦苇AGB遥感估算最优模型,并进行芦苇AGB遥感反演及空间格局分析。结果表明:2014年松嫩平原西部地区芦苇总面积为1653 km~2,其中扎龙湿地自然保护区内芦苇分布面积最大(1178km~2),占区域芦苇总面积的71.3%;所选取的5种植被指数均与芦苇AGB呈极显著正相关(P0.01),基于EVI构建的指数曲线模型为松嫩平原西部芦苇AGB反演的最优模型(R2=0.55)。研究区芦苇平均AGB为372.1g/m~2,AGB总量为6.14×105t,其中扎龙湿地自然保护区内芦苇AGB总量为4.38×105t;各保护区芦苇平均AGB由大到小依次为:向海保护区(469.7 g/m~2)大布苏保护区(454.1 g/m~2)莫莫格保护区(373.0 g/m~2)扎龙保护区(372.4 g/m~2)查干湖保护区(369.8 g/m~2);松嫩平原西部芦苇AGB总体呈现南高北低的分布格局,将为湿地生态系统管理与保护及芦苇资源的合理利用提供科学依据。     

夏季若尔盖高寒湿地水生生物群落食物网结构特征

为了解若尔盖高寒湿地夏季水生生物群落食物网结构及营养关系特征,应用稳定同位素技术分析了若尔盖湿地 3个不同区域(ZS1、ZS2和ZS3)水生生物群落碳、氮稳定同位素比值,并计算了13C-15N同位素生态位中的6个营养结构量化指标。结果显示:外源性营养源陆生植物13C、15N值分别为-28.23- -26.07,-1.20-5.98; 内源性营养源颗粒有机物 (POM:主要成分为藻类)和水生植物13C、15N值分别为-26.39- -21.17、-25.37- -24.15,3.68-6.61、3.50-4.01; 其中POM样品13C、15N组成存在明显的区域性差异(P0.05,P0.001)。食物网营养结构分析显示若尔盖湿地外源性碳源输入(优势陆生植物)对于维持该水域生态系统结构稳定有着十分重要的作用。若尔盖湿地水域食物网营养级介于2-3,暗示了其生态系统结构的相对脆弱性。同位素量化指标标记发现若尔盖湿地水生动物群落生态结构存在明显的空间异质性,可能与若尔盖湿地发达的畜牧产业相关。     

管网雨水补给河道用水的人工湿地水质净化流程研究

中国北方部分地区水资源短缺,河道干涸,但夏季雨水资源潜力丰富。虽径流受到一定污染,但较于生活污水和工业废水,其污染程度更低,成分更简单。雨水通过低运行成本的人工湿地净化系统,可以实现较好的净化效果,满足河道景观需求和生态补水。城市管网雨水承载能力过重的城市边缘区,建设更新过程中进行雨污分流制度,更适于采用人工水质净化的方式将城市雨水管网中的雨水进行就近消纳,减轻城市雨水管网压力,并利用表面负荷率（ALR）来确定并校核人工湿地面积。在综合现在人工水质净化主流程预处理单元、人工湿地单元和消毒存储单元3个环节的基础上,以低运营成本、低管理成本、最优净水量为指向,引入物联网技术智能管控系统,行程具有能控制各级出水水质监测、多级管控、净水生态功能与游览景观功能相结合等多重优点的人工水质净化全流程,达到符合河道水质标准的净化效果。该流程为缓解北方城镇河道缺水现状、解决城市雨洪问题提供新思路。     

青岛胶州湾四种类型湿地AM真菌多样性

对青岛胶州湾4种类型湿地（盐田、滩涂、湖泊和河口）中芦苇Phragmites communis、香蒲Typha orientalis和碱蓬Suaeda glauca 根围土壤中丛枝菌根（arbuscular mycorrhizal,AM）真菌进行孢子分离与鉴定,分析湿地生态系统中植物根围AM真菌群落特征。共分离到AM真菌5属10种,包括斗管囊霉属Funneliformis 2种、无梗囊霉属Acaulospora 3种、近明球囊霉属Claroideoglomus 2种、球囊霉属Glomus 1种、巨孢囊霉属Gigaspora 2种,其中,斗管囊霉属Funneliformis及地斗管囊霉Funneliformis geosporum的分离频度和相对多度最高,分别为湿地中AM真菌优势属和优势种。滩涂和河口湿地中植物AM真菌侵染率显著高于湖泊和盐田湿地植物,AM真菌孢子密度以滩涂湿地最高（572个/20mL）,湖泊湿地最低（220个/20mL）;滩涂湿地的种丰度和Shannon-Wiener指数最高,分别为3.8和1.2。从植物种类来看,AM真菌侵染率总体呈现出香蒲>碱蓬>芦苇,AM真菌孢子密度以香蒲最高,芦苇最低,植物种类对AM真菌种丰度和Shannon-Wiener指数影响不显著（P>0.05）。二因素方差分析和典型RDA相关分析表明,寄主植物种类对AM真菌孢子密度有一定影响,但湿地类型对AM真菌多样性的影响更为显著（P<0.05）,胶州湾湿地土壤因子Ca ²⁺、速效P含量与AM真菌孢子密度、物种丰度和多样性指数显著负相关,而速效K、Na ⁺、pH与其显著正相关。结果表明植物种类主要影响AM真菌孢子密度,AM真菌多样性受植物种类和湿地类型综合影响,滩涂湿地较丰富的AM真菌多样性可能与该湿地较良好的理化性质有关。     

Vegetation and environment changes inferred from pollen records since 3000 cal. yr BP in Kanas wetland,Xinjiang

Aims Climate change can significantly affect the vegetation worldwide. Thus, paleovegetation and paleoclimate reconstruction should consider the quantitative relationship between modern vegetation and climate. The specific objectives of this study were (i) to assess the influence of environmental variables on pollen assemblages in the Kanas region, (ii) to reconstruct the evolution of vegetation over the past 3000 years using pollen records and (iii) to quantify historical climate change (including mean annual temperature and total annual precipitation) using a weighted averaging partial least squares regression method (WAPLS) applied to fossil pollen data from the Kanas wetland in Xinjiang, China.