河口三角洲湿地健康生态圈构建:理论与方法

河口三角洲湿地生态环境保护和区域开发的矛盾突出,对湿地生态圈健康和栖息地生态功能产生直接而强烈的影响.健康的河口三角洲湿地生态圈是由自然过程的连续性、生态系统的连通性、生境的异质性以及食物网的多样性等多种因素共同决定的.本文讨论了健康湿地生态圈构建的基础理论,综述了景观生态网络构建、水文连通性网络构建、食物网构建以及生境异质性栖息地营建的理论与方法.在区域和景观尺度上,以土地利用-生态系统完整性为主线,阐明了湿地破碎化对湿地生态功能的影响,特别强调景观完整性、水文连通性对湿地栖息地的影响;在生态系统和群落尺度上,以食物网-生态系统稳定性为主线,强调食物网多样性、生境异质性对湿地生物圈构建的支撑作用.基于景观完整性、水文连通性、生境异质性和食物网多样性构建健康湿地生态圈,可为湿地生态环境保护和建设提供科学依据和技术支撑.     

湿地生物连通性影响因素及测度方法研究进展

湿地是地球上最多样化和最具生产力的生态系统之一,但近年来由于人类活动的频繁干扰,自然环境以前所未有的速度变化,两者的协同作用导致湿地呈现破碎化趋势。湿地的退化、转化使得湿地生物连通性减弱。良好的湿地生物连通性有利于湿地生态系统服务功能的维持、生物多样性的保护以及生物对气候变化适应水平的提高。因此理解、评估和保护生物连通性对于湿地生态系统而言至关重要。综述了湿地生物连通性的定义、总结了生物连通发生与变化的四个相互作用因子,从结构连通性、功能连通性两个测定角度,论述动物、植物和微生物三类研究对象生物连通性的测度方法,最后从湿地生物连通的时空尺度,连通与物质循环的耦合关系,湿地生物连通性评估分析模型改进角度提出了未来的研究方向,从而确保湿地生物连通网络的完整有效。可为湿地生物多样性、湿地保护和管理提供新的思路。     

Characterization of functional and structural integrity in experimental focal epilepsy: reduced network efficiency coincides with white matter changes

Background

Although focal epilepsies are increasingly recognized to affect multiple and remote neural systems, the underlying spatiotemporal pattern and the relationships between recurrent spontaneous seizures, global functional connectivity, and structural integrity remain largely unknown.

Methodology/Principal Findings

Here we utilized serial resting-state functional MRI, graph-theoretical analysis of complex brain networks and diffusion tensor imaging to characterize the evolution of global network topology, functional connectivity and structural changes in the interictal brain in relation to focal epilepsy in a rat model. Epileptic networks exhibited a more regular functional topology than controls, indicated by a significant increase in shortest path length and clustering coefficient. Interhemispheric functional connectivity in epileptic brains decreased, while intrahemispheric functional connectivity increased. Widespread reductions of fractional anisotropy were found in white matter regions not restricted to the vicinity of the epileptic focus, including the corpus callosum.

Conclusions/Significance

Our longitudinal study on the pathogenesis of network dynamics in epileptic brains reveals that, despite the locality of the epileptogenic area, epileptic brains differ in their global network topology, connectivity and structural integrity from healthy brains.     

Graph theoretical analysis of complex networks in the brain

Since the discovery of small-world and scale-free networks the study of complex systems from a network perspective has taken an enormous flight. In recent years many important properties of complex networks have been delineated. In particular, significant progress has been made in understanding the relationship between the structural properties of networks and the nature of dynamics taking place on these networks. For instance, the 'synchronizability' of complex networks of coupled oscillators can be determined by graph spectral analysis. These developments in the theory of complex networks have inspired new applications in the field of neuroscience. Graph analysis has been used in the study of models of neural networks, anatomical connectivity, and functional connectivity based upon fMRI, EEG and MEG. These studies suggest that the human brain can be modelled as a complex network, and may have a small-world structure both at the level of anatomical as well as functional connectivity. This small-world structure is hypothesized to reflect an optimal situation associated with rapid synchronization and information transfer, minimal wiring costs, as well as a balance between local processing and global integration. The topological structure of functional networks is probably restrained by genetic and anatomical factors, but can be modified during tasks. There is also increasing evidence that various types of brain disease such as Alzheimer's disease, schizophrenia, brain tumours and epilepsy may be associated with deviations of the functional network topology from the optimal small-world pattern.     

Wetland Suitability and Connectivity for Trans-Saharan Migratory Waterbirds

To complete their life cycle waterbirds rely on patchily distributed and often ephemeral wetlands along their migration route in a vast unsuitable matrix. However, further loss and degradation of remaining wetland habitats might lead to a configuration and size of stopovers that is no longer sufficient to ensure long-term survival of waterbird populations. By identifying optimal conservation targets to maintain overall habitat availability en route, we can accommodate an as yet absent functional connectivity component in larger management frameworks for migratory waterbirds, such as the Ramsar Convention and the EU Natura 2000 Network. Using a graph-based habitat availability metric (Equivalent Connected Area) we determine the functional connectivity of wetland networks for seven migratory waterbirds with divergent habitat requirements. Analyses are performed at two spatial extents both spanning the Mediterranean Sea and centered around Greece (Balkan-Cyrenaica and Greece-Cyrenaica). We create species-specific suitable habitat maps and account for human disturbance by species-specific disturbance buffers, based on expert estimates of Flight Initiation Distances. At both spatial extents we quantitatively determine the habitat networks’ overall functional connectivity and identify wetland sites that are crucial for maintaining a well-connected network. We show that the wetland networks for both spatial extents are relatively well connected and identify several wetland sites in Greece and Libya as important for maintaining connectivity. The application of disturbance buffers results in wetland site-specific reduction of suitable habitat area (0.90–7.36%) and an overall decrease of the network’s connectivity (0.65–6.82%). In addition, we show that the habitat networks of a limited set of species can be combined into a single network which accounts for their autoecological requirements. We conclude that targeted management in few but specific wetland complexes could benefit migratory waterbird populations. Deterioration of these vital wetland sites in Greece and Libya will have disproportionate consequences to the waterbird populations they support.     

长江中游生态区湿地保护空缺分析及其保护网络构建

构建了综合反映长江中游生态区地形、植被与地表覆盖特征的GIS综合空间数据库,在对长江中游生态区核心湿地保护物种,即白鹤（Grusleucogeranus）、东方白鹳（Ciconiaboyciana）、小白额雁（Anser erythropus）、中华秋沙鸭（Mergus squamatus）分布范围和生境需求分析基础上,建立了反映物种分布与GIS数据库中生态地理因子关联的生境适宜性单元,从而确定了核心物种分布的潜在生境,对照现有保护区分布格局,找到了区域湿地生境保护的薄弱和空缺区域（Gaps）,评价了现有保护区系统对潜在生境保护的有效性。基于Gap分析结果和现有保护区分布格局,进一步考虑保护网络的整体性和连通性以及保护成本,构建了长江中游湿地保护区生物保护网络的合理格局。研究结果表明：长江中游生态区核心物种潜在生境涉及134个县（市）级单元,而目前长江中游湿地保护网络仅覆盖了23．49％的潜在生境,仍有大量潜在生境游离于现有保护区系统外。为完善长江中游生态区湿地保护网络,应在湖北（13县）、安徽（8县）和江西（1县）所属22个县域内建立新的湿地保护区或保护小区,并与现有湿地保护系统有机整合,最终才能形成较为完善的由45个县级单元构成的的长江中游生态区湿地生物保护网络合理格局,并保护80％以上核心物种的潜在生境。本研究同时也表明基于GIS生态地理空间数据库和生境适宜性单元概念进行大尺度生境分析具有一定可行性和应用价值。     

Differential effects of spatial network structure and scale on population size and genetic diversity of the ninespine stickleback in a remnant wetland system

相似文献   

Development of Large-Scale Functional Brain Networks in Children

The ontogeny of large-scale functional organization of the human brain is not well understood. Here we use network analysis of intrinsic functional connectivity to characterize the organization of brain networks in 23 children (ages 7–9 y) and 22 young-adults (ages 19–22 y). Comparison of network properties, including path-length, clustering-coefficient, hierarchy, and regional connectivity, revealed that although children and young-adults' brains have similar “small-world” organization at the global level, they differ significantly in hierarchical organization and interregional connectivity. We found that subcortical areas were more strongly connected with primary sensory, association, and paralimbic areas in children, whereas young-adults showed stronger cortico-cortical connectivity between paralimbic, limbic, and association areas. Further, combined analysis of functional connectivity with wiring distance measures derived from white-matter fiber tracking revealed that the development of large-scale brain networks is characterized by weakening of short-range functional connectivity and strengthening of long-range functional connectivity. Importantly, our findings show that the dynamic process of over-connectivity followed by pruning, which rewires connectivity at the neuronal level, also operates at the systems level, helping to reconfigure and rebalance subcortical and paralimbic connectivity in the developing brain. Our study demonstrates the usefulness of network analysis of brain connectivity to elucidate key principles underlying functional brain maturation, paving the way for novel studies of disrupted brain connectivity in neurodevelopmental disorders such as autism.     

黄淮海地区跨流域湿地生态系统保护网络体系优化

运用系统保护规划方法,以集水区为保护规划单元,综合考虑三维(3D)连接性(横向、纵向、垂向)和跨流域调水工程,通过不可替代性分析和保护空缺识别,对黄淮海地区跨流域湿地生态系统保护网络体系优化进行研究,并通过与已有保护体系对比,评估了优化体系的效用.结果表明： 依据不可替代性大小和连接性原则,湿地保护空缺可分为优先保护空缺和一般保护空缺;黄淮海地区湿地生态系统保护体系经过优化后,湿地保护状况整体上有较大改观,其中所有湿地类型受保护比重由初始的20%左右增长到46.8%,且各湿地类型保护状况都有不同程度的改善,优化体系中的受保护比重大多在40%以上.无论是从近期还是长远来看,湖泊湿地保护都应给予较多关注.生态系统服务价值和生物多样性相整合、保护和恢复相结合是未来湿地生态系统保护规划研究中应关注的方面.     

From network structure to network reorganization: implications for adult neurogenesis

Networks can be dynamical systems that undergo functional and structural reorganization. One example of such a process is adult hippocampal neurogenesis, in which new cells are continuously born and incorporate into the existing network of the dentate gyrus region of the hippocampus. Many of these introduced cells mature and become indistinguishable from established neurons, joining the existing network. Activity in the network environment is known to promote birth, survival and incorporation of new cells. However, after epileptogenic injury, changes to the connectivity structure around the neurogenic niche are known to correlate with aberrant neurogenesis. The possible role of network-level changes in the development of epilepsy is not well understood. In this paper, we use a computational model to investigate how the structural and functional outcomes of network reorganization, driven by addition of new cells during neurogenesis, depend on the original network structure. We find that there is a stable network topology that allows the network to incorporate new neurons in a manner that enhances activity of the persistently active region, but maintains global network properties. In networks having other connectivity structures, new cells can greatly alter the distribution of firing activity and destroy the initial activity patterns. We thus find that new cells are able to provide focused enhancement of network only for small-world networks with sufficient inhibition. Network-level deviations from this topology, such as those caused by epileptogenic injury, can set the network down a path that develops toward pathological dynamics and aberrant structural integration of new cells.     

综合模型法评估黄河三角洲湿地景观连通性

景观连通性是区域生态系统功能完整的重要表征。连通性的评估对生态系统管理和保护规划有重要意义。综合常用的景观连通性评估模型,即最小耗费距离模型与电路理论模型,根据生态网络构建的一般范式,采取两种不同阻力面赋值方案,对黄河三角洲的湿地景观连通性进行评估,并对比分析了两种模型的基本原理、工作性能、分析尺度等。结果表明：最小耗费距离模型能够识别最优生态廊道,为景观连通性评估提供基本模式。电路理论则能扩展到潜在生态廊道和关键生态点的量化识别,能确定具有生态功能的“夹点”和障碍区的空间位置。综合两种模型,可以量化评估黄河三角洲湿地景观连通性,空间化三角洲湿地保护恢复的管理目标,即潜在廊道和关键生态节点,为区域生态系统功能评估和管理提供精准的数据支持。     

Altered Topological Organization of White Matter Structural Networks in Patients with Neuromyelitis Optica

Objective

To investigate the topological alterations of the whole-brain white-matter (WM) structural networks in patients with neuromyelitis optica (NMO).

Methods

The present study involved 26 NMO patients and 26 age- and sex-matched healthy controls. WM structural connectivity in each participant was imaged with diffusion-weighted MRI and represented in terms of a connectivity matrix using deterministic tractography method. Graph theory-based analyses were then performed for the characterization of brain network properties. A multiple linear regression analysis was performed on each network metric between the NMO and control groups.

Results

The NMO patients exhibited abnormal small-world network properties, as indicated by increased normalized characteristic path length, increased normalized clustering and increased small-worldness. Furthermore, largely similar hub distributions of the WM structural networks were observed between NMO patients and healthy controls. However, regional efficiency in several brain areas of NMO patients was significantly reduced, which were mainly distributed in the default-mode, sensorimotor and visual systems. Furthermore, we have observed increased regional efficiency in a few brain regions such as the orbital parts of the superior and middle frontal and fusiform gyri.

Conclusion

Although the NMO patients in this study had no discernible white matter T2 lesions in the brain, we hypothesize that the disrupted topological organization of WM networks provides additional evidence for subtle, widespread cerebral WM pathology in NMO.     

自然保护区生态安全设计的方法研究

由于生态破坏和自然栖息地的丧失,造成野生动植物种群的破碎化．自然保护区已成为孤立的生境岛屿,目前以单个、孤立保护区为主的生物多样性保护模式是远远不够的,应在广泛的时空尺度上保护生态过程和生物多样性各组成成份,建立一个整体的保护网络．根据国内外生物多样性保护的要求和发展趋势,提出了自然保护区生态安全设计的概念,它是综合考虑了生态、社会、经济的一种协调设计战略,首先从区域层次研究保护区网络的优化设计;其次,在网络的每个节点(保护区),研究保护区的面积、形状和内部功能分区;最后,研究网络与节点的连接(廊道)．自然保护区网络设计应维持生态系统的地域完整性和生态过程完整性,采用迭代法、整数规划方法和地理途径方法,为一个或多个保护目标勾画出多种保护规划蓝图。     

The functional consequences of mutualistic network architecture

The architecture and properties of many complex networks play a significant role in the functioning of the systems they describe. Recently, complex network theory has been applied to ecological entities, like food webs or mutualistic plant-animal interactions. Unfortunately, we still lack an accurate view of the relationship between the architecture and functioning of ecological networks. In this study we explore this link by building individual-based pollination networks from eight Erysimum mediohispanicum (Brassicaceae) populations. In these individual-based networks, each individual plant in a population was considered a node, and was connected by means of undirected links to conspecifics sharing pollinators. The architecture of these unipartite networks was described by means of nestedness, connectivity and transitivity. Network functioning was estimated by quantifying the performance of the population described by each network as the number of per-capita juvenile plants produced per population. We found a consistent relationship between the topology of the networks and their functioning, since variation across populations in the average per-capita production of juvenile plants was positively and significantly related with network nestedness, connectivity and clustering. Subtle changes in the composition of diverse pollinator assemblages can drive major consequences for plant population performance and local persistence through modifications in the structure of the inter-plant pollination networks.     

江苏省自然遗产地生态网络的构建与优化

自然遗产地是生物的重要栖息场所,而生态网络是连接自然遗产地的有效途径,如何有效和合理地构建自然遗产地之间的生态廊道,连接破碎生境,对保护自然遗产地生物多样性和区域生态安全具有重要意义。在Arc GIS 9.3的技术支持下,通过合理估算阻力阈值,采用最小耗费距离模型分析方法,构建江苏省省域范围内的自然遗产地生态网络保护体系,并在网络连通性指数分析方法的基础上对生态网络的连通性和有效性进行评价,针对性地提出自然遗产地生态网络的优化措施。研究结果表明:78.28%的林地、88.70%的滩涂滩地、94.37%的草地是自然遗产地生态网络的主要景观组成结构;自然遗产斑块本身对生态网络的构建有较大影响,其中面积较大、长条型的斑块对维持景观连通性的重要性程度贡献较大;研究区现状整体生态连通性指数仅0.001—0.003,连通性水平较差,通过构建生态网络,整体连通性水平可提高到0.044—0.046,可能连通性水平可达到0.074,表明自然遗产廊道的构建可提高景观的连通性水平;在现有生态网络结构的基础上,增加破碎斑块间的生态连接是优化生态网络体系的可行性策略。     

生态网络视角下武汉市湿地生态格局分析

城市湿地是城市发展的重要生态保障。快速城市化进程导致湿地景观破碎化,威胁湿地生态系统安全。生态网络通过廊道连接重要生境斑块,基于生态网络分析城市湿地生态格局,不仅可了解湿地的空间分布情况,还可反映湿地系统的结构与连通性特征。以武汉市为研究区,利用形态学空间格局分析(Morphological Spatial Pattern Analysis, MSPA)方法识别湿地源地,结合地表景观类型、地形坡度及人类活动强度因素构建综合阻力面,采用最小累积阻力模型(Minimum Cumulative Resistance, MCR)提取生态廊道构建湿地生态网络,最后对网络进行重要性分级。分析网络的结构及区域特征,结果表明:武汉市湿地规模较大,但破碎化严重且空间分布不均;网络空间结构不完备但景观结构良好,重要廊道多位于城市边缘斑块间且集中分布在南部地区;各区域湿地格局特征不同,江夏区及汉南区湿地资源丰富且斑块质量高,廊道分布多且景观结构较好但重要性不高,黄陂区及东西湖区湿地总量少且形态破碎,区内廊道少、重要性低且景观结构有待改善,新洲区湿地规模小,廊道分布较少且景观结构不完善,但湿地及廊道重要性均较高。研究结果将为武汉市湿地保护与建设工作提供科学依据。     

景观生态网络研究进展

作为生态学重要的概念与方法,生态网络是景观生态学研究的热点问题,也是耦合景观结构、生态过程和功能的重要途径。景观生态网络对于保护生物多样性、维持生态平衡、增加景观连接度具有重要意义。从景观生态网络的相关理论、研究进展、研究方法模型等进行分析,并对其应用前景进行展望,主要介绍了传统景观格局分析、网络分析、模型模拟等方法的适用性与特点,并分析了景观生态网络在城市景观格局优化、自然保护区规划、生物多样性保护、土地规划等领域的应用,最后提出了研究的主要问题。     

Intra- and Inter-Frequency Brain Network Structure in Health and Schizophrenia

Empirical studies over the past two decades have provided support for the hypothesis that schizophrenia is characterized by altered connectivity patterns in functional brain networks. These alterations have been proposed as genetically mediated diagnostic biomarkers and are thought to underlie altered cognitive functions such as working memory. However, the nature of this dysconnectivity remains far from understood. In this study, we perform an extensive analysis of functional connectivity patterns extracted from MEG data in 14 subjects with schizophrenia and 14 healthy controls during a 2-back working memory task. We investigate uni-, bi- and multivariate properties of sensor time series by computing wavelet entropy of and correlation between time series, and by constructing binary networks of functional connectivity both within and between classical frequency bands (, , , and ). Networks are based on the mutual information between wavelet time series, and estimated for each trial window separately, enabling us to consider both network topology and network dynamics. We observed significant decreases in time series entropy and significant increases in functional connectivity in the schizophrenia group in comparison to the healthy controls and identified an inverse relationship between these measures across both subjects and sensors that varied over frequency bands and was more pronounced in controls than in patients. The topological organization of connectivity was altered in schizophrenia specifically in high frequency and band networks as well as in the - cross-frequency networks. Network topology varied over trials to a greater extent in patients than in controls, suggesting disease-associated alterations in dynamic network properties of brain function. Our results identify signatures of aberrant neurophysiological behavior in schizophrenia across uni-, bi- and multivariate scales and lay the groundwork for further clinical studies that might lead to the discovery of new intermediate phenotypes.     

Variability v.s. synchronicity of neuronal activity in local cortical network models with different wiring topologies

Dynamical behavior of a biological neuronal network depends significantly on the spatial pattern of synaptic connections among neurons. While neuronal network dynamics has extensively been studied with simple wiring patterns, such as all-to-all or random synaptic connections, not much is known about the activity of networks with more complicated wiring topologies. Here, we examined how different wiring topologies may influence the response properties of neuronal networks, paying attention to irregular spike firing, which is known as a characteristic of in vivo cortical neurons, and spike synchronicity. We constructed a recurrent network model of realistic neurons and systematically rewired the recurrent synapses to change the network topology, from a localized regular and a “small-world” network topology to a distributed random network topology. Regular and small-world wiring patterns greatly increased the irregularity or the coefficient of variation (Cv) of output spike trains, whereas such an increase was small in random connectivity patterns. For given strength of recurrent synapses, the firing irregularity exhibited monotonous decreases from the regular to the random network topology. By contrast, the spike coherence between an arbitrary neuron pair exhibited a non-monotonous dependence on the topological wiring pattern. More precisely, the wiring pattern to maximize the spike coherence varied with the strength of recurrent synapses. In a certain range of the synaptic strength, the spike coherence was maximal in the small-world network topology, and the long-range connections introduced in this wiring changed the dependence of spike synchrony on the synaptic strength moderately. However, the effects of this network topology were not really special in other properties of network activity. Action Editor: Xiao-Jing Wang