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101.
2008年3月至2009年9月对紫阳湖生态修复效应进行了全程跟踪监测及诊断指示研究。研究表明,通过水生生物群落构建,水生态环境有了明显改善,全湖水质达到地表水IV标准,透明度上升到100 cm左右,叶绿素a下降到10 mg/m3以下。生态修复后各指标50%的效应时间序列为Chla、DO、SD、TP、NH3-N、TN和COD。研究认为,Chla/SD作为湖泊水质指数(LQI)是检验生态修复效果较敏感的指标,可用于浅水富营养湖泊生态修复后水质的诊断和评价。  相似文献   
102.
Abstract: Ecological restoration is a key component of biological conservation. Nevertheless, unlike protection of existing areas, restoration changes existing land use and can therefore be more controversial. Some restoration projects negatively affect surrounding landowners, creating social constraints to restoration success. Just as negative off‐site impacts (i.e., negative externalities) flow from industrial areas to natural areas, restoration projects can generate negative externalities for commercial land uses, such as agriculture. Negative externalities from industry have led to government regulation to prevent human health and environmental impacts. Negative externalities from restoration projects have elicited similar legal constraint on at least one large‐scale conservation project, riparian restoration in the Sacramento River Conservation Area. The negative externalities of restoration that are perceived to be the direct result of specific goals, such as endangered species management, are likely to be more contentious than externalities arising from unintended phenomena such as weed invasion. Restoration planners should give equal consideration to off‐site characteristics as to on‐site characteristics when choosing sites for restoration and designing projects. Efforts to control externalities can lead to off‐site ecological benefits.  相似文献   
103.
Marine coastal ecosystems, commonly referred to as blue ecosystems, provide valuable services to society but are under increasing threat worldwide due to a variety of drivers, including eutrophication, development, land-use change, land reclamation, and climate change. Ecological restoration is sometimes necessary to facilitate recovery in coastal ecosystems. Blue restoration (i.e., in marine coastal systems) is a developing field, and projects to date have been small scale and expensive, leading to the perception that restoration may not be economically viable. We conducted a global cost–benefit analysis to determine the net benefits of restoring coral reef, mangrove, saltmarsh, and seagrass ecosystems, where the benefit is defined as the monetary value of ecosystem services. We estimated costs from published restoration case studies and used an adjusted-value-transfer method to assign benefit values to these case studies. Benefit values were estimated as the monetary value provided by ecosystem services of the restored habitats. Benefits outweighed costs (i.e., there were positive net benefits) for restoration of all blue ecosystems. Mean benefit:cost ratios for ecosystem restoration were eight to 10 times higher than prior studies of coral reef and seagrass restoration, most likely due to the more recent lower cost estimates we used. Among ecosystems, saltmarsh had the greatest net benefits followed by mangrove; coral reef and seagrass ecosystems had lower net benefits. In general, restoration in nations with middle incomes had higher (eight times higher in coral reefs and 40 times higher in mangroves) net benefits than those with high incomes. Within an ecosystem type, net benefit varied with restoration technique (coral reef and saltmarsh), ecosystem service produced (mangrove and saltmarsh), and project duration (seagrass). These results challenge the perceptions of the low economic viability of blue restoration and should encourage further targeted investment in this field.  相似文献   
104.
Although experiences with ecological restoration continue to accumulate, the effectiveness of restoration for biota remains debated. We complemented a traditional taxonomic analysis approach with information on 56 species traits to uncover the responses of 3 aquatic (fish, macroinvertebrates, macrophytes) and 2 terrestrial (carabid beetles, floodplain vegetation) biotic groups to 43 hydromorphological river restoration projects in Germany. All taxonomic groups responded positively to restoration, as shown by increased taxonomic richness (10–164%) and trait diversity (habitat, dispersal and mobility, size, form, life history, and feeding groups) (15–120%). Responses, however, were stronger for terrestrial than aquatic biota, and, contrary to our expectation, taxonomic responses were stronger than those of traits. Nevertheless, trait analysis provided mechanistic insights into the drivers of community change following restoration. Trait analysis for terrestrial biota indicated restoration success was likely enhanced by lateral connectivity and reestablishment of dynamic processes in the floodplain. The weaker response of aquatic biota suggests recovery was hindered by the persistence of stressors in the aquatic environment, such as degraded water quality, dispersal constraints, and insufficient hydromorphological change. Therefore, river restoration requires combined local- and regional-scale approaches to maximize the response of both aquatic and terrestrial organisms. Due to the contrasting responses of aquatic and terrestrial biota, the planning and assessment of river restoration outcomes should consider effects on both components of riverine landscapes.  相似文献   
105.
Widespread human action and behavior change is needed to achieve many conservation goals. Doing so at the requisite scale and pace will require the efficient delivery of outreach campaigns. Conservation gains will be greatest when efforts are directed toward places of high conservation value (or need) and tailored to critical actors. Recent strategic conservation planning has relied primarily on spatial assessments of biophysical attributes, largely ignoring the human dimensions. Elsewhere, marketers, political campaigns, and others use microtargeting—predictive analytics of big data—to identify people most likely to respond positively to particular messages or interventions. Conservationists have not yet widely capitalized on these techniques. To investigate the effectiveness of microtargeting to improve conservation, we developed a propensity model to predict restoration behavior among 203,645 private landowners in a 5,200,000 ha study area in the Chesapeake Bay Watershed (U.S.A.). To isolate the additional value microtargeting may offer beyond geospatial prioritization, we analyzed a new high-resolution land-cover data set and cadastral data to identify private owners of riparian areas needing restoration. Subsequently, we developed and evaluated a restoration propensity model based on a database of landowners who had conducted restoration in the past and those who had not (n = 4978). Model validation in a parallel database (n = 4989) showed owners with the highest scorers for propensity to conduct restoration (i.e., top decile) were over twice as likely as average landowners to have conducted restoration (135%). These results demonstrate that microtargeting techniques can dramatically increase the efficiency and efficacy of conservation programs, above and beyond the advances offered by biophysical prioritizations alone, as well as facilitate more robust research of many social–ecological systems.  相似文献   
106.
为适时、有效地控制炼化过程系统风险,以模糊Petri网(FPN)为基础,针对炼化系统动态退化性和系统中保护层对风险转移的干预性,建立考虑保护层响应的炼化过程系统风险动态转移模型。描述基于FPN的保护层作用动态机制,分析炼化系统在保护层干预下,从非正常干扰触发开始至炼化系统退化过程的风险变化趋势。最后通过正己烷缓冲罐案例分析验证模型。结果表明:正己烷缓冲罐在开始运行的30 000 h内,系统风险等级呈阶段性变化,在工作的前16 800 h,风险为Ⅰ级;第16 800~27 600 h,风险为Ⅱ级;第27 600~30 000 h,风险为Ⅲ级。  相似文献   
107.
108.
为优化视觉显示终端(VDT)结构性搜索界面的布局,提高作业绩效和安全,设计了VDT系统搜索实验,构建了搜索目标位置在4个主观偏好指标下的Pythagorean模糊集决策矩阵,运用交互式多准则决策(TODIM)法计算各目标位置偏好的总体优势度并排序;同时对VDT系统搜索实验中各目标位置的绩效进行方差分析并排序,分析系统搜索策略下作业者对目标位置的主观偏好与绩效之间的关系。研究结果表明:基于系统搜索策略的VDT作业绩效在不同目标位置差异显著;导致绩效差异的根本原因是作业者对搜索目标位置的主观偏好度,而不是搜索目标的位置属性;除中心区域外,偏好度高的区域搜索绩效要优于偏好度低的区域。  相似文献   
109.
悬挂链曝气技术应用于河流污染治理   总被引:7,自引:0,他引:7  
在介绍了悬挂链曝气技术的特点和在复氧曝气方面的适用性的基础上,对该技术的局限性进行了阐述,并认为悬挂链技术为河流污染治理提供了一种新选择。  相似文献   
110.
海岸带生态恢复技术研究现状及存在问题   总被引:8,自引:0,他引:8  
气候及其潜在的全球性变化所带来的影响,使海岸带受到严重威胁,人口的增加以及人类活动强度的增大给海岸带环境带来的负面影响越来越严重,对目前国内外海岸带生态恢复技术的现状作了较系统地介绍,并阐述了当前海岸带生态恢复中存在的主要问题。  相似文献   
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