三江源地区生态系统生态功能分析及其价值评估

在地理信息系统的支持下,将相关地图数字化并利用已有的地形数据库等资料,研究了三江源地区生态系统土壤保持、涵养水源、固定CO2和释放O2等4项生态功能,并利用市场价值法、机会成本法和影子工程法等评估了其生态功能的价值.研究结果表明:三江源地区生态系统土壤保持总量为1.0383×109t·a-1,其价值总计为1.2528×109元·a-1;植被凋落物和土壤涵养水源能力为1.6469×1010t·a-1,涵养水源能力价值为1.1034×1010元·a-1;生态系统固定CO2为1.4128×108t·a-1,价值为1.0053×1010～4.7798×1010元·a-1;释放O2为1.0401×108t·a-1,价值为3.6709×1010～4.1605×1010元·a-1;4项生态功能合计总价值为5.9049×1010～1.0169×1011元·a-1.由此可见,三江源地区生态系统生态功能价值巨大,保护其生态系统结构和功能对我国江河中下游地区和东南亚国家生态环境安全和区域可持续发展具有重大意义.     

陆地生态系统净第一性生产力过程模型研究综述

陆地生态系统净第一性生产力的模拟已从统计模型发展到过程模型时代。过程模型从机理上对植物的生物物理过程以及影响因子进行分析和模拟,理论框架完整,结构严谨。论文从植物器官、个体、冠层、景观以及区域等不同尺度对过程模型进行分析。近年来,由于遥感和GIS技术的支持,使得遥感过程模型融合了遥感及时、准确、宏观、多尺度的优势而成为当前生产力模型的主攻方向。遥感过程模型可实现生态系统NPP的及时模拟和动态监测,便捷、准确地反映NPP的时空变化格局。而在NPP建模过程中,尺度转换是所面临的一个重要问题。不同尺度模型间扩展时,需要采取相应的数学手段进行尺度转换,同时遥感和GIS技术提供了尺度转换的有力工具。综观我国NPP研究的发展,起步晚、发展快是其特点。虽然取得了大量的研究成果,但过程模型的建模方面还很不足,这是一个亟待解决的问题。     

现代能源生态系统建设:一种理论探讨

在现代社会发展中,能源资源开发和利用所产生的巨大极化效应使整个人类可持续发展面临越来越严重的挑战。论文应用工业生态学的观点对能源系统的建设进行重新认识,提出了“能源生态系统”的概念;阐述了能源生态系统的3个组成部分:内生系统,外生系统,共生系统;并探讨了其空间结构的类型划分和基本形态。论文建立的现代能源生态建设基本框架,为进一步开展此方面的理论探讨提供有益借鉴。     

城市生态敏感性分析

在总结国内外对生态敏感性研究的基础上,应用生态因子评分方法和GIS技术对广州市城市生态系统进行敏感性区划,将广州市划分为最敏感区、敏感区、弱敏感区和非敏感区4个等级,其中北部林区多属于最敏感区,大部分园地属于敏感区,和水源相邻的耕地属于弱敏感区,其他分散的林地和未利用土地则属于非敏感区.并提出了相应的保护对策,为该市今后产业合理布局,区域生态环境保护提供科学依据.     

Targeted Sustainable Development: 15 Years of Government and Community Intervention on the St. Lawrence River

From 1988 to 2003, the St. Lawrence Action Plan, a Canada – Quebec cooperation agreement on the St. Lawrence River, helped to mobilize a still-growing number of stakeholders in the conservation and protection of this great river and generated tangible results in a number of areas of intervention. The successes enjoyed in the area of industrial, agricultural and urban clean-up, in protecting plant and animal species and their habitats, and in acquiring new knowledge on the state and trends of the ecosystem reflect the sustained efforts of government and non-government partners over the course of those 15 years. The committed involvement of local communities provides assurance of the sustainable development of this vast ecosystem.The Canadian Crown reserves the right to retain a non-exclusive, royalty free licence in and to any copyright.     

Status of the Riparian Ecosystem in the Upper San Pedro River, Arizona: Application of an Assessment Model

A portion of Arizona’s San Pedro River is managed as a National Riparian Conservation Area but is potentially affected by ground-water withdrawals beyond the conservation area borders. We applied an assessment model to the Conservation Area as a basis for monitoring long-term changes in riparian ecosystem condition resulting from changes in river water availability, and collected multi-year data on a subset of the most sensitive bioindicators. The assessment model is based on nine vegetation bioindicators that are sensitive to changes in surface water or ground water. Site index scores allow for placement into one of three condition classes, each reflecting particular ranges for site hydrology and vegetation structure. We collected the bioindicator data at 26 sites distributed among 14 reaches that had similar stream flow hydrology (spatial flow intermittency) and geomorphology (channel sinuosity, flood-plain width). Overall, 39% of the riparian corridor fell within condition class 3 (the wettest condition), 55% in condition class 2, and 6% in the driest condition class. Condition class 3 reaches have high cover of herbaceous wetland plants (e.g., Juncus and Schoenoplectus spp.) along the perennial stream channel and dense, multi-aged Populus-Salix woodlands in the flood plain, sustained by shallow ground water in the stream alluvium. In condition class 2, intermittent stream flows result in low cover of streamside wetland herbs, but Populus-Salix remain abundant in the flood plain. Perennial wetland plants are absent from condition class 1, reflecting highly intermittent stream flows; the flood plain is vegetated by Tamarixa small tree that tolerates the deep and fluctuating ground water levels that typify this reach type. Abundance of herbaceous wetland plants and growth rate of Salix gooddingii varied between years with different stream flow rates, indicating utility of these measures for tracking short-term responses to hydrologic change. Repeat measurement of all bioindicators will indicate long-term trends in hydro-vegetational condition.     

太湖流域水生态监控系统平台构建研究

从太湖流域水生态监控管理需求出发,研究太湖流域水生态监控系统平台建设目标及建设内容,包括水生态监控数据管理子系统构建、水生态状况评价子系统构建、水生态模拟子系统构建和水生态辅助管理决策子系统构建。集成管理太湖流域水质监测数据、水生生物监测数据、基础地理信息数据,对各类数据进行一体化管理及深度挖掘,自动实现水生态状况评价;构建水生态模拟子系统,对水生态情景、污染物扩散、水生态功能区空间分布及变化趋势进行模拟,并提出水生态辅助决策方案及报告。     

Using ecosystem-services assessments to determine trade-offs in ecosystem-based management of marine mammals

The goal of ecosystem-based management (EBM) is to support a sustainable and holistic multisectored management approach, and is recognized in a number of international policy frameworks. However, it remains unknown how these goals should be linked to assessments and management plans for marine fauna, such as mammals and fish stocks. It appears particularly challenging to carry out trade-off analyses of various ocean uses without a framework that integrates knowledge of environmental, social, and economic benefits derived from nonstationary marine fauna. We argue this gap can be filled by applying a version of the ecosystem-service approach at the population level of marine fauna. To advance this idea, we used marine mammals as a case study to demonstrate what indicators could operationalize relevant assessments and deliver an evidence base for the presence of ecosystem services and disservices derived from marine mammals. We found indicators covering common ecosystem service categories feasible to apply; examples of indicator data are already available in the literature for several populations. We encourage further exploration of this approach for application to marina fauna and biodiversity management, with the caveat that conceptual tensions related to the use of the ecosystem service concept itself needs to be addressed to ensure acceptance by relevant stakeholders.     

Trends in biodiversity and habitat quantification tools used for market-based conservation in the United States

Market-based conservation mechanisms are designed to facilitate the mitigation of harm to and conservation of habitats and biodiversity. Their potential is partly hindered, however, by the quantification tools used to assess habitat quality and functionality. Of specific concern are the lack of transparency and standardization in tool development and gaps in tool availability. To address these issues, we collected information via internet and literature searchers and through conversations with tool developers and users on tools used in U.S. conservation mechanisms, such as payments for ecosystem services (PES) and ecolabel programs, conservation banking, and habitat exchanges. We summarized information about tools and explored trends among and within mechanisms based on criteria detailing geographic, ecological, and technical features of tools. We identified 69 tools that assessed at least 34 species and 39 habitat types. Where tools reported pricing, 98% were freely available. More tools were applied to states along the U.S. West Coast than elsewhere, and the level of tool transferability varied markedly among mechanisms. Tools most often incorporated conditions at numerous spatial scales, frequently addressed multiple risks to site viability, and required 1–83 data inputs. Most tools required a moderate or greater level of user skill. Average tool-complexity estimates were similar among all mechanisms except PES programs. Our results illustrate the diversity among tools in their ecological features, data needs, and geographic application, supporting concerns about a lack of standardization. However, consistency among tools in user skill requirements, incorporation of multiple spatial scales, and complexity highlight important commonalities that could serve as a starting point for establishing more standardized tool development and feature-incorporation processes. Greater standardization in tool design may expand market participation and facilitate a needed assessment of the effectiveness of market-based conservation.     

Integrating intraseasonal grassland dynamics in cross-scale distribution modeling to support waterbird recovery plans

Despite much discussion about the utility of remote sensing for effective conservation, the inclusion of these technologies in species recovery plans remains largely anecdotal. We developed a modeling approach for the integration of local, spatially measured ecosystem functional dynamics into a species distribution modeling (SDM) framework in which other ecologically relevant factors are modeled separately at broad scales. To illustrate the approach, we incorporated intraseasonal water-vegetation dynamics into a cross-scale SDM for the Common Snipe (Gallinago gallinago), which is highly dependent on water and vegetation dynamics. The Common Snipe is an Iberian grassland waterbird characteristic of European agricultural meadows and a member of one of the most threatened bird guilds. The intraseasonal dynamics of water content of vegetation were measured using the standard deviation of the normalized difference water index time series computed from bimonthly images of the Sentinel-2 satellite. The recovery plan for the Common Snipe in Galicia (northwestern Iberian Peninsula) provided an opportunity to apply our modeling framework. Model accuracy in predicting the species’ distribution at a regional scale (resulting from integration of downscaled climate projections with regional habitat–topographic suitability models) was very high (area under the curve [AUC] of 0.981 and Boyce's index of 0.971). Local water-vegetation dynamic models, based exclusively on Sentinel-2 imagery, were good predictors (AUC of 0.849 and Boyce's index of 0.976). The predictive power improved (AUC of 0.92 and Boyce's index of 0.98) when local model predictions were restricted to areas identified by the continental and regional models as priorities for conservation. Our models also performed well (AUC of 0.90 and Boyce's index of 0.93) when projected to updated water-vegetation conditions. Our modeling framework enabled incorporation of key ecosystem processes closely related to water and carbon cycles while accounting for other factors ecologically relevant to endangered grassland waterbirds across different scales, allowed identification of priority areas for conservation, and provided an opportunity for cost-effective recovery planning by monitoring management effectiveness from space.