城市化对流域生态系统服务价值空间异质性的影响——以南京市九乡河流域为例

以南京市九乡河流域为研究区域,以2003、2009年两期遥感影像数据为基本信息源,在调整生态系统服务价值系数的基础上,计算流域生态系统服务价值,并利用ArcGIS的空间分析功能,研究流域生态系统服务价值的空间异质性及其变化,以及城市化与生态系统服务价值之间的关系。结果表明:2003-2009年,流域生态系统服务价值损失2.63%,达643.1×10⁴元,其中上游生态系统服务价值增加1.57%,而中游和下游则分别减少2.18%和10.58%,耕地流失是中游、下游和流域总生态系统服务价值减少的主要原因;食物生产、保持土壤等单项生态系统服务价值降低,而水文调节和提供美学功能的生态服务价值增加;九乡河流域生态系统服务价值的空间异质性发生了明显的变化,生态系统服务价值降低的区域主要集中在下游的仙林大学城以及中游靠近主城区的西村一带,而升高的区域主要分布在九乡河沿岸;城市化对流域生态系统服务价值的负效应明显。制定严格的生态规划,加强对流域开发建设的分类指导,是恢复和维护九乡河流域生态系统服务功能的有效途径。     

鸭绿江口及毗邻浅海沉积物重金属富集特征与潜在生态风险比较

为研究鸭绿江河口及毗邻浅海沉积物中重金属的污染状况,比较了鸭绿江口及毗邻浅海表层沉积物重金属的富集系数、多金属污染度的沿程变化,分析了重金属的分布富集规律;讨论了采用不同的背景值在潜在生态风险指数、地累积指数、生物效应浓度3种评价方法中的差异及其对生态风险评价结果的影响. 结果表明:鸭绿江口及毗邻浅海的潜在生态风险总体属于低风险等级,其中毗邻浅海和潮滩的重金属污染较轻,西汊道的污染相对较重. 重金属的高值分布区与混浊带具有一定的对应关系,但受人类活动的影响更大,对鸭绿江口及毗邻浅海表层沉积物重金属污染生态风险评价贡献率较高的重金属污染因子是Cu,Hg和Cd.      

不同类型生态浮床对富营养河水脱氮效果及微生物菌群的影响

通过设施大棚内容积为1.5 m3的人工模拟池试验,研究了框式与传统旱伞草浮床对富营养河水氮素转化及微生物菌群的影响. 传统浮床是以聚乙烯泡沫板为载体,栽植陆生植物来削减水体氮磷和有机物质等,从而达到净化水质的效果. 框式浮床是以塑料镂空支架为载体,除种植陆生植物外还添加填料等组件的新型浮床. 结果表明:①2种浮床对水体中TN,NH₄+-N和NO₃--N均有显著的去除效果,其中框式浮床和传统浮床的NH₄+-N去除率分别高达91%和86%,TN去除率也分别达到74%和64%,NO₃--N去除率分别为49%和31%. ②2种浮床系统有效地提高了水体中微生物和氮循环细菌总数和种群数量,尤其是框式浮床不同时期均比空白对照高出2～3个数量级. ③氮循环细菌的数量跟水体氮素去除有显著相关性. 其中水体ρ(NH₄+-N)和氨化菌数量呈显著正相关,ρ(NH₄+-N)和硝化菌数量呈极显著负相关,ρ(NO₃--N),ρ(TN)和反硝化菌数量之间呈极显著负相关. ④框式浮床的独特结构使之比传统浮床的去氮能力更强. 其中,填料系统吸附贡献率为8%,植物吸收的去氮贡献为16.5%,微生物系统脱氮则为75.5%;而传统浮床植物系统吸收贡献率为31.8%,微生物系统脱氮贡献率为68.2%. 说明浮床系统中植物吸收只是系统去氮的一种途径,微生物脱氮在2种浮床脱氮途径中占主导作用.      

污水处理厂出水中雌激素活性物质浓度与生态风险水平

再生水在环境和景观水体利用中,由微量有毒有害污染物,特别是内分泌干扰物引起的长期生态风险备受关注. 以再生水生态风险控制为目的,对城市污水处理厂出水(再生水)中雌激素活性物质浓度分布情况进行了研究,归纳了8种雌激素活性物质的出水浓度水平,比较分析了各物质的雌激素活性和生态风险. 结果表明:8种物质的质量浓度分布在ng/L～μg/L,其中ρ(类固醇)最低,为nd～50 ng/L;ρ(酚类)及ρ(酞酸酯类)主要在μg/L水平,个别高达40 μg/L. 雌激素活性分析和生态风险评价结果表明,污水处理厂出水(再生水)中3类雌激素活性物质的雌激素活性和生态风险顺序均为类固醇物质＞酚类物质＞酞酸酯类物质. 城市污水再生处理厂应优先控制乙炔基雌二醇(EE2)、雌酮(E1)和雌三醇(E3)等3种雌激素活性物质.      

基于生态承载力的成都产业空间布局研究

以成都市的20个行政区县为基本评价单元进行生态承载力评价,在此基础上进行产业空间布局研究. 结果表明:成都市的生态承载力空间分布存在明显差异,呈从山区—丘陵—平原依次递增、从流域源头—末端依次递增的规律. 根据不同单元生态承载力的空间和阈值差异,将成都产业空间布局划分为4个类型区,即重点发展区、引导发展区、限制发展区和保护发展区;针对不同类型区的特征,制订产业准入门槛、产业规模和产业发展方向等产业发展调控策略.      

Enhancing generic ecological model for short-term prediction of Southern North Sea algal dynamics with remote sensing images

Physically based numerical modelling follows from the basic understanding of the underlying mechanisms and is often represented by a set of (partial differential) equations. It is one of the main approaches in population dynamics modelling. The emphasis of the model introduced in this paper is on the simulation of short-term spatial and temporal dynamics of harmful algal bloom (HAB) events. Total suspended matter (TSM) concentration is one of the dominant factors for harmful algal bloom (HAB) prediction in North Sea. However, the modelling of suspended matter contains a high degree of uncertainty in this area. Therefore, this research aims to achieve a better estimation for the short-term prediction of harmful algal bloom development in both space and time by using spatially distributed TSM retrieved from remotely sensed images as physically based model inputs. In order to supply complete spatially covered datasets for the physically based model instrument: generic ecological model (GEM), this research retrieves TSM information from MERIS images by means of proper estimation techniques including biharmonic splines and self-learning cellular automata. A better estimation of HAB spatial pattern development is achieved by adding spatially distributed TSM data as inputs to original GEM model, and it proved that chlorophyll-a concentration in this area is very sensitive to TSM concentration.     

Multiple structural modifications to dendritic ecological networks produce simple responses

Structural modifications to landscapes affect the ability of organisms to access different habitat patches. There exist, however, very few general methods by which to relate modifications to expectations of effects, and even fewer that enable understanding of how multiple modifications may interact. In the absence of any guiding principles, ecologists have assumed that interactions will result in complex landscape-scale effects. One way of understanding such effects is through rendering a landscape as a graph or network, among the simplest of which are dendritic networks typified by stream systems. Yet even for stream networks, there are no known general principles concerning the nature of interactions between multiple modifications. We developed a model to describe the ability of fish to access and use different habitat patches within dendritic networks. We used mathematical and numerical analyses of the model to investigate how the habitat value of a network is affected by changes in connectivity and habitat quality, and then to examine interactions between multiple modifications. Rather than showing complex interactions, our analytic and simulation-based results show that the combined effect of multiple modifications approximately equals the sum of individually predicted effects. Dendritic networks thus appear to respond far more simply to multiple modifications than has previously been assumed. These results have implications for stream management planning, and offer a firm foundation from which to better understand population processes within dendritic networks.     

Evaluating Rapid Participatory Rural Appraisal as an Assessment of Ethnoecological Knowledge and Local Biodiversity Patterns

Abstract:  There is a pressing need to find both locally and globally relevant tools to measure and compare biodiversity patterns. Traditional ecological knowledge (TEK) is important to biodiversity monitoring, but has a contested role in preliminary biodiversity assessments. We examined rapid participatory rural appraisal (rPRA) (a tool commonly used for local needs assessments) as an alternative to surveys of vascular plants conducted by people with local knowledge. We used rPRA to determine the local-knowledge consensus on the average richness, diversity, and height of local grasses and trees in three habitats surrounding Boumba, Niger, bordering Park-W. We then conducted our own vascular plant surveys to collect information on plant richness, abundance, and structure. Using a qualitative ranking, we compared TEK-based assessments of diversity patterns with our survey-based assessments. The TEK-based assessments matched survey-based assessments on measures of height and density for grasses and trees and tree richness. The two assessments correlated poorly on herb richness and Simpson's D value for both trees and grasses. Plant life form and gender of the participant affected the way diversity patterns were described, which highlights the usefulness of TEK in explaining local realities and indicates limitations of using TEK as a large-scale assessment tool. Our results demonstrate that rPRA can serve to combine local-knowledge inquiry with scientific study at a cost lower than vascular plant surveys and demonstrates a useful blunt tool for preliminary biodiversity assessment.     

Bayesian Networks and Adaptive Management of Wildlife Habitat

Abstract: Adaptive management is an iterative process of gathering new knowledge regarding a system's behavior and monitoring the ecological consequences of management actions to improve management decisions. Although the concept originated in the 1970s, it is rarely actively incorporated into ecological restoration. Bayesian networks (BNs) are emerging as efficient ecological decision‐support tools well suited to adaptive management, but examples of their application in this capacity are few. We developed a BN within an adaptive‐management framework that focuses on managing the effects of feral grazing and prescribed burning regimes on avian diversity within woodlands of subtropical eastern Australia. We constructed the BN with baseline data to predict bird abundance as a function of habitat structure, grazing pressure, and prescribed burning. Results of sensitivity analyses suggested that grazing pressure increased the abundance of aggressive honeyeaters, which in turn had a strong negative effect on small passerines. Management interventions to reduce pressure of feral grazing and prescribed burning were then conducted, after which we collected a second set of field data to test the response of small passerines to these measures. We used these data, which incorporated ecological changes that may have resulted from the management interventions, to validate and update the BN. The network predictions of small passerine abundance under the new habitat and management conditions were very accurate. The updated BN concluded the first iteration of adaptive management and will be used in planning the next round of management interventions. The unique belief‐updating feature of BNs provides land managers with the flexibility to predict outcomes and evaluate the effectiveness of management interventions.     

西安市生态文明建设评价及预测

根据生态文明的涵义和生态市建设的总体思路,提出了生态文明建设3（系统层、子系统层、单项指标层）×3（经济发展,社会进步,环境保护）评价体系,其中包括25个单项指标。对西安市1998-2007年生态文明建设进行了定量评价研究,结果表明西安市生态文明建设处于整体上升的趋势;在此基础上,应用自回归预测模型对西安市经济、社会、环境和生态文明建设发展进行了预测,为西安市全面协调发展提供参考借鉴。