天山北坡典型退化草地植被覆盖度监测模型构建与评价

草地退化是当今世界面临的一个极为严峻的生态问题。植被覆盖度作为草地退化监测的重要指标之一,在草地退化、荒漠化治理方面起着重要的作用。为了构建适合于天山北坡典型草地植被覆盖度监测模型,便于对草地及时、快速的监测分析,研究利用新疆阜康市2008年9月Landsat TM遥感影像数据和相应的实测数据,分别探讨5种植被指数(NDVI、RVI、GNDVI、SAVI和MSAVI)与植被覆盖度的线性和非线性(二次多项式、指数、对数以及幂函数)关系,以便获得最佳监测草地状况的植被指数和模型。研究结果表明,MSAVI和GNDVI与植被覆盖度的相关性最好(P<0.01),而NDVI和RVI较差;通过5种植被指数和植被覆盖度进行回归分析,MSAVI和GNDVI与植被覆盖度分别建立模型最佳,即:y=138.45x-1.248 2(R²=0.502 7,P<0.01)和y=2 596.66x²-561.54x+38.488(R²=0.605 3,P<0.01),精度达到90%以上。该研究结果说明不同的植被指数适用的条件不同,为今后利用3S技术深入研究荒漠退化草地植被状况的快速监测和科学管理提供支持。     

基于RS和GIS的河北省生物丰度和植被覆盖度归一化系数研究

利用河北省生态环境十年变化（2000—2010）遥感调查与评估项目2010年土地利用类型数据,计算河北省2010年省级生物丰度和植被覆盖指数归一化系数,并对各县市的归一化系数进行分析和研究,绘制2010年河北省生物丰度和植被覆盖指数等级图,清晰反映出全省的区域分布特征,为河北省生态环境影响评价研究提供技术支撑。     

Preliminary investigation of submerged aquatic vegetation mapping using hyperspectral remote sensing

The use of airborne hyperspectral remote sensing imagery for automated mapping of submerged aquatic vegetation (SAV) in the tidal Potomac River was investigated for near to real-time resource assessment and monitoring. Airborne hyperspectral imagery and field spectrometer measurements were obtained in October of 2000. A spectral library database containing selected ground-based and airborne sensor spectra was developed for use in image processing. The spectral library is used to automate the processing of hyperspectral imagery for potential real-time material identification and mapping. Field based spectra were compared to the airborne imagery using the database to identify and map two species of SAV (Myriophyllum spicatum and Vallisneria americana). Overall accuracy of the vegetation maps derived from hyperspectral imagery was determined by comparison to a product that combined aerial photography and field based sampling at the end of the SAV growing season. The algorithms and databases developed in this study will be useful with the current and forthcoming space-based hyperspectral remote sensing systems.     

Using historical ecology to reassess the conservation status of coniferous forests in Central Europe

Forests cover approximately one‐third of Central Europe. Oak (Quercus) and European beech (Fagus sylvatica) are considered the natural dominants at low and middle elevations, respectively. Many coniferous forests (especially of Picea abies) occur primarily at midelevations, but these are thought to have resulted from forestry plantations planted over the past 200 years. Nature conservation and forestry policy seek to promote broadleaved trees over conifers. However, there are discrepancies between conservation guidelines (included in Natura 2000) and historical and palaeoecological data with regard to the distribution of conifers. Our aim was to bring new evidence to the debate on the conservation of conifers versus broadleaved trees at midelevations in Central Europe. We created a vegetation and land‐cover model based on pollen data for a highland area of 11,300 km² in the Czech Republic and assessed tree species composition in the forests before the onset of modern forestry based on 18th‐century archival sources. Conifers dominated the study region throughout the entire Holocene (approximately 40–60% of the area). Broadleaved trees were present in a much smaller area than envisaged by current ideas of natural vegetation. Rather than casting doubt on the principles of Central European nature conservation in general, our results highlight the necessity of detailed regional investigations and the importance of historical data in challenging established notions on the natural distribution of tree species.     

Effectiveness of vegetation‐based biodiversity offset metrics as surrogates for ants

Biodiversity offset schemes are globally popular policy tools for balancing the competing demands of conservation and development. Trading currencies for losses and gains in biodiversity value at development and credit sites are usually based on several vegetation attributes combined to yield a simple score (multimetric), but the score is rarely validated prior to implementation. Inaccurate biodiversity trading currencies are likely to accelerate global biodiversity loss through unrepresentative trades of losses and gains. We tested a model vegetation multimetric (i.e., vegetation structural and compositional attributes) typical of offset trading currencies to determine whether it represented measurable components of compositional and functional biodiversity. Study sites were located in remnant patches of a critically endangered ecological community in western Sydney, Australia, an area representative of global conflicts between conservation and expanding urban development. We sampled ant fauna composition with pitfall traps and enumerated removal by ants of native plant seeds from artificial seed containers (seed depots). Ants are an excellent model taxon because they are strongly associated with habitat complexity, respond rapidly to environmental change, and are functionally important at many trophic levels. The vegetation multimetric did not predict differences in ant community composition or seed removal, despite underlying assumptions that biodiversity trading currencies used in offset schemes represent all components of a site's biodiversity value. This suggests that vegetation multimetrics are inadequate surrogates for total biodiversity value. These findings highlight the urgent need to refine existing offsetting multimetrics to ensure they meet underlying assumptions of surrogacy. Despite the best intentions, offset schemes will never achieve their goal of no net loss of biodiversity values if trades are based on metrics unrepresentative of total biodiversity.     

微藻与水环境修复

目前,环境污染已威胁到我们人类的生活质量和身体健康。水污染作为环境污染的主要组成部分,已成为污染治理和环境修复的当务之急。文章综述了微藻作为一种生物修复工具修复富营养化水源和重金属污染水源的研究进展其国内外研究概况。具体阐述了微藻修复受污染水环境的机理,能除氮脱磷的微藻种类、环境因素对微藻除氮脱磷的影响,利用微藻除氮磷富营养化的研究现状,以及利用微藻作为生物武器消除重金属污染的优势、特点和现状。重点论述了螺旋藻和小球藻两种微藻修复水体污染的概况。     

影像融合技术在滩涂湿地植被分类中的应用

选择上海崇明东滩鸟类自然保护区的盐沼植被为对象,利用该地区2004年TM多光谱影像与同期SPOT5全色影像进行多种规则的融合,通过计算信息熵、均值、标准差、平均梯度、偏差指数、相关系数和均方根差7项指标,评价选取光谱信息较丰富、空间信息更清晰的融合影像.在此基础上,利用该融合影像进行植被分类,得到滩涂地区典型植被、光滩和水体等专题分类影像及其信息,并利用实地观测的134个样区进行比较验证.研究结果表明:相对于融合前的TM影像,利用Wavelet +IHS方法融合后的图像数据能很好地保留TM影像的多光谱信息,同时增加了其空间分辨率.融合技术可以充分利用各类遥感影像的空间和光谱信息,有效提高海岸带资源调查与监测的精度.     

矿区生态重建基础理论与方法研究

基于10年的矿区土地复垦科学研究的实践,分析了由矿区土地复垦到矿区生态重建研究现念的转变、矿区生态重建的理论基础,对矿区生态重建的概念、特点、范围及研究内容进行了界定,并探讨了矿区生态重建研究的认识、方法及其方案应具备的特点。     

五里湖生态重建影响因素及其对策探讨

简要介绍了五里湖的概况、主要生态环境问题和对五里湖生态环境现状及其变化过程的调查,并从水文、水质、底质等方面分析了五里湖生态重建的影响因素。在此基础上结合蠡湖新城建设规划及五里湖综合整治规划,提出了相应的生态重建对策,即通过控源、利用生境修复措施创造生态恢复条件、人工重建水生植被和湖泊生态系统管理,重建良性的湖泊水生态系统。同时,从体制和机制创新的角度出发,探讨了湖泊生态系统的管理方式和途径。      

营养杯育苗造林在杨家杖子尾矿库生态恢复中的应用

文中介绍了杨家杖子尾矿库坝体治理及一期库坝体植被恢复和沉积滩种植实验工作情况。在植被恢复工作中，采用“营养杯育苗造林”的方法，取得了显著的成效，值得类似条件下的有色金属矿山尾矿库植被恢复工作的借鉴和引用。