鄂尔多斯周缘地震带中长期地震趋势估计

本文基于一定的地震资料,分别应用最大熵原理、贝努里概型以及计算地震复发周期的经验关系式,对鄂尔多斯周缘地震带进行了中强地震的中长期地震趋势估计。     

Catastrophic Reproductive Failure, Terrestrial Survival, and Persistence of the Marbled Salamander

Abstract:  Wide variation in reproductive success is common among amphibians that breed in seasonal ponds, but persistence of adults can buffer against these fluctuations, particularly for long-lived species. We hypothesized that the frequent episodes of catastrophic failure of the marbled salamander ( Ambystoma opacum ) enhance the importance of high terrestrial survival. At Rainbow Bay in South Carolina reproductive success was poor (<1 metamorph/breeding female) in nearly half of the 22 years that the species bred. Complete failure occurred in 6 of 22 years. To study catastrophic failure, we adapted an age-structured, individual-based model with density-dependent growth and survival of larvae. The model was based on extensive data from local field studies and experiments. With consistently good survival in the pond stages, the simulated population required survival probabilities in the upland stages (juveniles and adults) near 0.5/year to persist and near 0.8/year to achieve the increases observed. Catastrophic failure, occurring randomly with probability 0.5/year, created additional fluctuations in the population, raised the thresholds of survival required for persistence, and caused extinction under conditions that were otherwise favorable. The marbled salamander at Rainbow Bay is not at great risk of extinction because of catastrophic failure, but the risk increases dramatically if life span is decreased or frequency of failure is increased. Any reduction in terrestrial survival will have deleterious consequences by reducing the breeding populations at equilibrium, even if it does not jeopardize persistence. Our model provides assessments of risk that can be applied to poorly studied species with similar life histories, such as the endangered flatwoods salamander ( A. cingulatum ).     

Assessing the Effects of Alternative Setback Channel Constraint Scenarios Employing a River Meander Migration Model

River channel migration and cutoff events within large river riparian corridors create heterogeneous and biologically diverse landscapes. However, channel stabilization (riprap and levees) impede the formation and maintenance of riparian areas. These impacts can be mitigated by setting channel constraints away from the channel. Using a meander migration model to measure land affected, we examined the relationship between setback distance and riparian and off-channel aquatic habitat formation on a 28-km reach of the Sacramento River, California, USA. We simulated 100 years of channel migration and cutoff events using 11 setback scenarios: 1 with existing riprap and 10 assuming setback constraints from about 0.5 to 4 bankfull channel widths (bankfull width: 235 m) from the channel. The percentage of land reworked by the river in 100 years relative to current (riprap) conditions ranged from 172% for the 100-m constraint setback scenario to 790% for the 800-m scenario. Three basic patterns occur as the setback distance increases due to different migration and cutoff dynamics: complete restriction of cutoffs, partial restriction of cutoffs, and no restriction of cutoffs. Complete cutoff restriction occurred at distances less than about one bankfull channel width (235 m), and no cutoff restriction occurred at distances greater than about three bankfull widths (∼700 m). Managing for point bars alone allows the setbacks to be narrower than managing for cutoffs and aquatic habitat. Results suggest that site-specific “restriction of cutoff” thresholds can be identified to optimize habitat benefits versus cost of acquired land along rivers affected by migration processes.     

Parameterizing,evaluating and comparing metapopulation models with data from individual-based simulations

Due to the lack of sufficient data and appropriate ecological information parameterizing predictive population dynamical models usually is a difficult task. The approach proposed in this study is meant to overcome this problem by using detailed individual-based simulations to generate artificial data. With short-term data samples, the models to be investigated can be parameterized and their predictions be compared. The flexibility of individual-based simulations as experimental tools also facilitates the evaluation and comparison of different (aggregated) model types. The presented approach is a step towards unifying models of different complexity. As an example we applied it to two metapopulation models of insect species in a highly fragmented landscape: the well-known incidence function model with a patch-based representation of space and a grid-based analogue. The models are tested with respect to their data requirement and recommendations for a better data sampling are derived.     

Ecological scenarios analyzed and evaluated by a shallow lake model

We applied the complex ecosystem model EMMO, which was adopted to the shallow lake Müggelsee (Germany), in order to evaluate a large set of ecological scenarios. By means of EMMO, 33 scenarios and 17 indicators were defined to characterize their effects on the lake ecosystem. The indicators were based on model outputs of EMMO and can be separated into biological indicators, such as chlorophyll-a and cyanobacteria, and hydro-chemical indicators, such as phosphorus. The question to be solved was, what is the ranking of the scenarios based on their characterization by these 17 indicators? And how can we handle high quantities of complex data within evaluation procedures? The scenario evaluation was performed by partial order theory which, however, did not provide a clear result. By subsequently applying the hierarchical cluster analysis (complete linkage) it was possible to reduce the data matrix to indicator and scenario representatives. Even though this step implies losses of information, it simplifies the application of partial order theory and the post processing by METEOR. METEOR is derived from partial order theory and allows the stepwise aggregation of indicators, which subsequently leads to a distinct and clear decision. In the final evaluation result the best scenario was the one which defines a minimum nutrient input and no phosphorus release from the sediment while the worst scenario is characterized by a maximum nutrient input and extensive phosphorus release from the sediment. The reasonable and comprehensive results show that the combination of partial order, cluster analysis and METEOR can handle big amounts of data in a very clear and transparent way, and therefore is ideal in the context of complex ecosystem models, like that we applied.     

基于CA-Markov模型的艾比湖流域平原区景观格局动态模拟预测

利用“3S”技术及CA-Markov模型,按照是否实施跨流域调水工程2种预案情况,以2005年为起始时刻,对新疆艾比湖流域平原区2020年景观格局进行模拟预测。结果显示：在调水工程未实施的情况下,2020年研究区的生态环境将进一步恶化,其突出表现为艾比湖湖泊水面将持续萎缩、裸露湖底盐漠面积进一步扩大,水资源短缺及生态环境恶化的结果将严重制约研究区社会经济的发展;在调水工程实施的情况下,2020年研究区内艾比湖湖泊水面将稳定增加至800 km^2以上、裸露湖底盐漠面积相应有所减少,生态环境恶化趋势得到改善,区域水资源短缺问题将有所缓解,可有效地促进研究区内社会经济的发展。     

结构风灾经济损失模型在GIS中的应用

在城市抗风防灾研究中，采用GIS技术已成为一种必要的手段，但现有结构风灾经济损失模型参数多，不易采集，造成建立GIS数据库具有一定的困难。因此，简化模型，降低数据采集难度的工作量是十分必要的，本文采用样本计算，制成表格供查询使用，在保证计算精度的前提下，使参数由12个减为2个，大大降低了数据采集和GIS数据库建立的难度。     

高填方路基诱发滑坡机理分析

通过对上三高速公路K92滑坡工程地质条件、滑坡特征及滑坡稳定性的分析，采用不分离接触数值模型模拟边坡的变形破坏，初步揭示了松散覆盖土层上厚度较大的高填方路基是诱发滑坡的内在机理。该类型滑坡的产生是由于路基堆载使坡体产生垂直方向的压缩变形，也使坡体向坡脚方向产生一定的挤出变形，最后诱发了推动式滑坡。     

生态旅游区环境变化与可持续旅游发展——以张家界为例

生态旅游区在扩大接待能力，增加旅游注入的同时，不可避免地破坏了景区生态环境。既要接持更多的过夜游客，增加旅游收入，又要使旅游区生态系统维持在安全的水平上，开发建设规模多大为宜，这是许多生态旅游区亟待解决的问题。本文提出了基于环境脆弱因子的建设规模容限值计量模型，并在典型的生态旅游区张家界进行了验证。通过计算得出了在不同的建设规模条件下，张家界景区最为脆弱的环境因子-总磷含量的变化状态。实证研究表明，宾馆规模容限值模型是分析生态旅游区环境变化可持续发展的有效工具。     

灰色预测法在南宁市可持续发展趋势分析中的应用

本文运用灰色系统理论 ,建立灰色预测模型 ,对南宁市社会、经济及生态环境发展趋势进行了分析 ,并针对南宁市发展中的不合理状况 ,提出相应的调控对策。