A conceptual framework for analysing adaptive capacity and multi-level learning processes in resource governance regimes

Governance failures are at the origin of many resource management problems. In particular climate change and the concomitant increase of extreme weather events has exposed the inability of current governance regimes to deal with present and future challenges. Still our knowledge about resource governance regimes and how they change is quite limited. This paper develops a conceptual framework addressing the dynamics and adaptive capacity of resource governance regimes as multi-level learning processes. The influence of formal and informal institutions, the role of state and non-state actors, the nature of multi-level interactions and the relative importance of bureaucratic hierarchies, markets and networks are identified as major structural characteristics of governance regimes. Change is conceptualized as social and societal learning that proceeds in a stepwise fashion moving from single to double to triple loop learning. Informal networks are considered to play a crucial role in such learning processes. The framework supports flexible and context sensitive analysis without being case study specific.First empirical evidence from water governance supports the assumptions made on the dynamics of governance regimes and the usefulness of the chosen approach. More complex and diverse governance regimes have a higher adaptive capacity. However, it is still an open question how to overcome the state of single-loop learning that seem to characterize many attempts to adapt to climate change. Only further development and application of shared conceptual frameworks taking into account the real complexity of governance regimes can generate the knowledge base needed to advance current understanding to a state that allows giving meaningful policy advice.     

基于SOA的中小型企业制造执行系统设计

针对中小型企业制造执行系统的需求以及信息交互较复杂和成本高的特点,对比传统制造执行系统(MES)架构,提出一种面向服务的信息系统架构.该架构以Web服务技术为基础,实现了制造执行系统的信息共享与较强可扩展性;同时运用该架构结合实例说明了其部分功能的实现方法和调用过程.     

Turbulent Intensities and Velocity Spectra for Bare and Forested Gentle Hills: Flume Experiments

To investigate how velocity variances and spectra are modified by the simultaneous action of topography and canopy, two flume experiments were carried out on a train of gentle cosine hills differing in surface cover. The first experiment was conducted above a bare surface while the second experiment was conducted within and above a densely arrayed rod canopy. The velocity variances and spectra from these two experiments were compared in the middle, inner, and near-surface layers. In the middle layer, and for the canopy surface, longitudinal and vertical velocity variances () were in phase with the hill-induced spatial mean velocity perturbation (Δu) around the so-called background state (taken here as the longitudinal mean at a given height) as predicted by rapid distortion theory (RDT). However, for the bare surface case, and remained out of phase with Δu by about L/2, where L is the hill half-length. In the canopy layer, wake production was a significant source of turbulent energy for , and its action was to re-align velocity variances with Δu in those layers, a mechanism completely absent for the bare surface case. Such a lower ‘boundary condition’ resulted in longitudinal variations of to be nearly in phase with Δu above the canopy surface. In the inner and middle layers, the spectral distortions by the hill remained significant for the background state of the bare surface case but not for the canopy surface case. In particular, in the inner and middle layers of the bare surface case, the effective exponents derived from the locally measured power spectra diverged from their expected  − 5/3 value for inertial subrange scales. These departures spatially correlated with the hill surface. However, for the canopy surface case, the spectral exponents were near  − 5/3 above the canopy though the minor differences from  − 5/3 were also correlated with the hill surface. Inside the canopy, wake production and energy short-circuiting resulted in significant departures from  − 5/3. These departures from  − 5/3 also appeared correlated with the hill surface through the wake production contribution and its alignment with Δu. Moreover, scales commensurate with Von Karman street vorticies well described wake production scales inside the canopy, confirming the important role of the mean flow in producing wakes. The spectra inside the canopy on the lee side of the hill, where a negative mean flow delineated a recirculation zone, suggested that the wake production scales there were ‘broader’ when compared to their counterpart outside the recirculation zone. Inside the recirculation zone, there was significantly more energy at higher frequencies when compared to regions outside the recirculation zone.     

Adaptive co-management and the paradox of learning

Much emphasis has been placed on the importance of learning to support collaborative environmental management and achieve sustainability under conditions of social–ecological change. Yet, on-going struggles to learn from experience and respond to complex social–ecological conditions reflect an emerging paradox. Despite widespread support of learning as a normative goal and process, core concepts, assumptions and approaches to learning have been applied in vague and sometimes uncritical ways. Greater specificity with respect to learning goals, approaches and outcomes is required. In response to this gap, we examine five dimensions of the learning paradox in the context of adaptive co-management, where the learning and linking functions of governance are stressed: (i) definitions of learning; (ii) learning goals and expectations; (iii) mechanisms by which learning takes place; (iv) questions regarding who is involved in the process of learning; and (v) the risks and ethical ambiguities faced by different actors expected to willingly participate in a learning process, whether formal or informal. Lessons from experience with a series of cases from the global North and South illustrate the implications of these dimensions. Resolving the dimensions of this learning paradox will require greater attention to capacity-building, recognition of the role of risk, and consideration of how incentives could be used to encourage learning. Further consideration of the role of power and marginality among groups participating in the learning process is also needed, as is more systematic evaluation to monitor and measure learning outcomes.     

北方草地生态气象综合监测预测技术及其应

近几十年来中国90%以上的草地出现退化现象,特别是内蒙古、宁夏、甘肃、新疆、青海、西藏等地区,草地退化严重,国家急需掌握气象条件对草地植被生长的影响,了解草地生产力、牲畜承载力以及生态质量状况.为此,在实时获取北方草地气温、降水量、日照时数等气象要素和气象卫星植被指数以及产草量观测资料的基础上,应用模糊数学、集合运算、统计分析等多种方法和"3S"手段,建立了北方草地植被生长气象条件优劣评价、产草量和载畜量预测、草地生态质量监测等模型.2005年以来,利用这些模型逐年评价了气象条件对草地植被生长的优劣影响、预测产草量和载畜量、监测草地生态质量优劣,获得了良好的服务效益.北方草地2007年生态气象监测预测结果表明:所建模型综合了多种资料和技术优势,结果符合实际;形成的综合监测预测技术可为国家保护和恢复草地生态环境提供科学依据.     

Nuclear modification factor for quarkonium production in high energy proton-nucleus collisions within the parton saturation approach

In this work, we analyze nuclear effects in the inclusive production of quarkonium in proton-nucleus collisions at high energy regime. A theoretical framework that includes initial state effects like nuclear shadowing and gluon density saturation is considered. Numerical results for nuclear modification factor, $R_{pA}(y)$, as a function of meson rapidity in proton-nucleus collisions are presented. The parameter-free predictions are compared to the available data from the Large Hadron Collider. Discussion on the main theoretical uncertainties is made, with emphasis on the phenomenological models for the nuclear saturation scale.     

水稻覆膜节水种植对NO排放的影响

为保障粮食安全和节约水资源,水稻覆膜节水技术正越来越多地被农业生产部门运用到水稻生产中。但是,与传统种植模式(采用淹水与烤田相结合的间歇灌溉)相比,水稻覆膜节水种植模式通过改变土壤条件,引起稻田生物地球化学过程变化,进而使得大气环境污染性气体一氧化氮(NO)的排放发生变化。为了定量研究两种种植模式的NO排放差异及其关键控制因子,采用静态暗箱—化学发光法,对不同种植模式下两种施肥条件(常规施肥与无氮肥对照)的水稻—休耕系统NO排放通量及其环境因子进行了原位周年观测。结果表明,水稻生长季NO排放主要发生在中期烤田阶段,覆膜节水种植模式的NO通量多高于常规淹水种植模式,水稻生长季NO排放系数分别为0.12%和0.016%,主要原因是覆膜节水种植模式提高了土壤温度和氧化还原电位。在休耕季,两种种植模式的NO排放都与土壤湿度呈显著负相关。覆膜节水种植模式全年NO排放有大于传统种植模式的趋势,其排放系数分别为0.15%和0.032%,但需时间更长地点更多的试验研究加以证实。     

气候变化对中国水资源影响的适应性评估与管理框架

 通过论述气候变化对中国水资源影响的适应性评估与管理框架,提出一个气候变化影响决策评估工具,它包括：未来气候变化对中国水资源潜在影响的定性描述分析、半定量与定量分析以及适应性对策评估。由于不同气候区域所面临的水资源问题不同,选择中国4个典型案例区域,并确定不同的目标进行气候变化适应性管理综合研究,提出了甄别气候变化影响和适应性管理的新的思路、框架与方法论。该项研究为应对未来气候变化影响的水资源规划与风险管理提供了途径与方法。     

利用GIS技术和RS技术减灾防灾

减灾防灾是一项需要多学科知识融会贯通的长期工程。灾难的发生是由多种因素造成的,在分析管理的时候,需要大量的数据源,因而,分析过程相当地耗时耗费。近年,由于能够高效提供详细、精确的相关数据．GIS技术和RS技术在灾难管理方面应用广泛、发展迅速,遥感技术提供灾情数据．GIS技术通过模型将各种数据有机地整合起来,包括空间数据、非空间数据、属性数据,使它们在灾难管理的各个阶段发挥不同的作用。