北京翠湖湿地维管束植物多样性及保护对策   总被引：1，自引：0，他引：1  

王艳龙 《湿地科学与管理》2012,8(3):26-28

结合北京地区湿地植物相关研究和翠湖湿地维管束植物调查结果,对翠湖湿地的维管束植物进行分类、整理和分析。结果显示:翠湖湿地有维管束植物306种,隶属76科228属,占北京市维管束植物总数的17.1%。翠湖湿地分布有多种国家级和北京市级重点保护野生植物,如野大豆Glycine soja、芡实Euryale ferox、茭白Zizania latifolia、花蔺Butomus umbellatus等。翠湖湿地还统计到外来和入侵植物共计13种,如豚草Ambrosia artemisiifolia、凤眼莲Eichhornia crassipes等。翠湖湿地维管束植物多样性丰富,需加强植物多样性保护和管理以及科普教育。  相似文献   

四方湖湿地资源现状及保护管理对策   总被引：1，自引：0，他引：1  

郝静 《湿地科学与管理》2012,8(3):29-30

四方湖湿地是淮河中游重要的淡水湖泊湿地,生物多样性丰富,具有调蓄防洪、保护生物多样性、维护生态平衡等多项功能。由于不合理的开发利用,四方湖湿地生物多样性下降,生态环境出现了退化的趋势。采取有力措施,保护和恢复四方湖湿地生态功能,迫在眉睫。分析了四方湖湿地资源现状及存在问题,提出了四方湖湿地资源保护及恢复对策。  相似文献   

广西北仑河口红树林湿地大型底栖动物多样性的初步研究   总被引：1，自引：0，他引：1  

何祥英  苏搏  许廷波  农立成  叶朝放  李啸宇 《湿地科学与管理》2012,8(2):44-48

2010年7月对广西北仑河口红树林湿地的大型底栖动物进行调查,共发现大型底栖动物8门10纲46科106种,其中软体动物49种,甲壳类36种,多毛类10种,其它类11种。生物量优势种和密度优势种都是软体动物门的珠带拟蟹守螺。大型底栖动物平均生物量是103.09g/m2,平均密度是196个/m2。与历史调查数据比较,本次调查发现了69种本地新种;对比国内6个红树林区底栖动物群落结构,其生物量及栖息密度属于中等偏下,物种多样性指数高于其它红树林区。结果表明:底栖动物的生物量及栖息密度与红树林发育状况呈负相关的关系,物种多样性与红树林发育状况呈正相关的关系。  相似文献   

水源林区人工湿地污水处理技术的应用示范     

陆豫  李云涛  陆王烨 《湿地科学与管理》2012,8(3):40-42

针对水源林区的污水处理和循环利用等问题,设计了水平潜流人工湿地+垂直流人工湿地污水处理工艺,该工艺依靠重力作为动力,无需能耗,管理简单,污水处理效果较好,抗冲力负荷能力较强。运行结果表明,工艺出水主要指标达到了《地表水环境质量标准》(GB3838-2002)规定的I类水质标准。  相似文献   

胶州湾北部滨海湿地分布特征及质量评价     

王慧勇  史衍玺 《湿地科学与管理》2012,(4):40-42

以胶州湾北部滨海湿地为研究区域,运用RS和GIS技术提取湿地信息,研究时空变化特征,建立湿地定量评价系统,并对湿地质量进行分析。研究表明,自1997年到2007年,该地湿地类型变化较大,沿岸湿地退化现象严重,人为活动影响增大,非湿地面积大量增加,湿地质量不断下降。  相似文献   

铁岭莲花湖湿地湖心岛建设探讨     

左力  尚佰晓  王莉  李铁庆  王爽 《湿地科学与管理》2012,(4):9-11

为解决人为活动对城市湿地公园内鸟类的影响,对铁岭莲花湖湿地公园湖心岛建设进行调查分析,湖心岛建设在保护湿地鸟类资源及丰富湿地景观多样性等方面起到了重要作用。根据城市湿地公园建设理念,提出了湿地公园中湖心岛建设的原则,初步探讨了湿地湖心岛建设过程中的基础填筑、岛上生物栖息地建设及岸边护坡等关键技术方案。  相似文献   

基于PSR模型的九段沙湿地生态系统健康评价   总被引：1，自引：1，他引：0  

任晶  孙瑛  陈秀芝  樊正球 《湿地科学与管理》2012,(4):12-16

以长江口九段沙湿地为例,运用湿地生态系统健康理论和压力-状态-响应(PSR)模型对湿地生态系统的健康进行了诊断评价。首先从湿地面临的压力、生态系统现状以及相应的管理对策等3个层面选取了30个评价指标,构建了九段沙湿地生态系统健康的评价体系。然后通过定量与定性相结合将指标分为5个等级,最后运用综合指数法对九段沙湿地生态系统健康综合指数进行计算。结果表明,九段沙湿地健康综合评价指数为0.77,处于健康状态。同时,九段沙湿地目前所面临压力的评价值为0.707,尚处于能够承受的范围,其主要压力来自于渔业资源无序过度捕捞、外来物种入侵、环境污染、长江来沙量锐减等方面。  相似文献   

不同土地利用方式下的七里海湿地临界评价研究   总被引：2，自引：0，他引：2  

蔡为民  杨世媛  汪苏燕  周楠 《地理科学》2012,(4):499-505

在"湿地临界"概念的基础上,定性分析了湿地利用与保护的平衡状态,探讨了不同利用方式下的湿地临界的研究步骤,并从基于耕地和河蟹养殖地两种土地利用方式入手,对七里海湿地临界进行了评价。研究表明,通过建立湿地临界模型,从经济效益评价和生态效益的评估入手,对湿地资源利用与保护进行临界分析,可以较好的反映湿地利用的临界状态;采用该方法,七里海湿地耕地利用的年净收益为9 5941.42元/hm2,净损耗为18 072.75元/hm2,临界效益(△B)值为77 868.67元/hm2;养殖河蟹的年净效益为21 622.68元/hm2,净损耗为2 0274元/hm2,△B值为1 348.68元/hm2,说明在目前的社会经济发展水平下,耕地和养殖河蟹两种利用方式尚未超出开发利用的临界准则,七里海湿地仍然具有开发潜力。  相似文献   

Characteristics of the main inorganic nitrogen accumulation in surface water and groundwater of wetland succession zones     

ZHOU Nian-qing  LI Tian-shui  ZHAO Shan  XIA Xue-min 《地下水科学与工程》2019,7(2):173-181

Based on the observation of a complete hydrological year from June 2014 to May 2015, the temporal and spatial variations of the main inorganic nitrogen(MIN, referring to NO_3~--N, NO_2~--N, NH_4~+-N) in surface water and groundwater of the Li River and the Yuan River wetland succession zones are analyzed. The Li River and the Yuan River are located in agricultural and non-agricultural areas, and this study focus on the influence of surface water level and groundwater depth and precipitation on nitrogen pollution. The results show that NO_3~-N in surface water accounts for 70%-90% of MIN, but it does not exceed the limit of national drinking water surface water standard. Groundwater is seriously polluted by H_4~+-N. Based on the groundwater quality standard of H_4~+-N, the groundwater quality in the Li River exceeds Class III water standard throughout the year, and the exceeding months' proportion of Yuan River reaches 58.3%. Compared with the Yuan River, MIN in groundwater of the Li River shows significant temporal and spatial variations owing to the influence of agricultural fertilization. The correlation between the concentrations of MIN and surface water level is poor, while the fitting effect of quadratic correlation between H_4~+-N concentration and groundwater depth is the best(R~2=0.9384), NO_3~-N is the next(R~2=0.5128), NO_2~--N is the worst(R~2=0.2798). The equation of meteoric water line is δD =7.83δ~(18) O+12.21, indicating that both surface water and groundwater come from atmospheric precipitation. Surface infiltration is the main cause of groundwater H_4~+-N pollution. Rainfall infiltration in non-fertilization seasons reduces groundwater nitrogen pollution, while rainfall leaching farming and fertilization aggravate groundwater nitrogen pollution.  相似文献   

Mapping wetland characteristics using temporally dense Sentinel-1 and Sentinel-2 data: A case study in the St. Lucia wetlands,South Africa     

《International Journal of Applied Earth Observation and Geoinformation》2020

Wetlands have been determined as one of the most valuable ecosystems on Earth and are currently being lost at alarming rates. Large-scale monitoring of wetlands is of high importance, but also challenging. The Sentinel-1 and -2 satellite missions for the first time provide radar and optical data at high spatial and temporal detail, and with this a unique opportunity for more accurate wetland mapping from space arises. Recent studies already used Sentinel-1 and -2 data to map specific wetland types or characteristics, but for comprehensive wetland characterisations the potential of the data has not been researched yet. The aim of our research was to study the use of the high-resolution and temporally dense Sentinel-1 and -2 data for wetland mapping in multiple levels of characterisation. The use of the data was assessed by applying Random Forests for multiple classification levels including general wetland delineation, wetland vegetation types and surface water dynamics. The results for the St. Lucia wetlands in South Africa showed that combining Sentinel-1 and -2 led to significantly higher classification accuracies than for using the systems separately. Accuracies were relatively poor for classifications in high-vegetated wetlands, as subcanopy flooding could not be detected with Sentinel-1’s C-band sensors operating in VV/VH mode. When excluding high-vegetated areas, overall accuracies were reached of 88.5% for general wetland delineation, 90.7% for mapping wetland vegetation types and 87.1% for mapping surface water dynamics. Sentinel-2 was particularly of value for general wetland delineation, while Sentinel-1 showed more value for mapping wetland vegetation types. Overlaid maps of all classification levels obtained overall accuracies of 69.1% and 76.4% for classifying ten and seven wetland classes respectively.  相似文献