韧性：三角洲地区规划转型的新理念

三角洲地区经过近几十年的快速发展,在城市建设方面取得举世瞩目的成就,然而长期积累的生态问题也更加突出,暴露出的空间脆弱性问题日益显著。面对自然基底脆弱、自然灾害扰动趋势增强等因素在时空上的高度叠合,迫切需要提升三角洲地区应对未来不确定性扰动的能力。首先从景观角度分析三角洲地区自然环境的特殊性,提出韧性规划是对现有三角洲地区规划转型的论点,认为鲁棒性、适应性、学习—转化能力是三角洲地区韧性规划的核心能力,系统性、协同性、底线性、预判性是三角洲地区韧性规划的主要思维特征。其次,进一步从优化整体格局、构建流动性载体、加强对韧性技术策略的研究和应用、重视跨尺度协作与管理等方面提出了构建“格局—连通—关键点”的韧性规划框架。最后,阐述韧性规划作为三角洲地区规划转型的新理念,应用于具体案例的空间布局时须以人为本,依托自然环境,以自然流动性为规划导向;须基于预判式过程,充分构想能够应对不同情景的预案;须整合生态智慧与现代技术,明晰兼顾鲁棒性与适应性的功能分区管治体系。     

椎体静脉稀疏区注入骨水泥对PVP术中骨水泥渗漏的影响

目的:探讨椎体静脉稀疏区注入骨水泥对骨质疏松椎体压缩性骨折患者行经皮穿刺椎体成形术(percutaneous vertebroplasty,PVP)术中骨水泥渗漏的影响。方法:选择西安交通大学第二附属医院2014年1月至2018年6月收治的61例骨质疏松椎体压缩性骨折患者,根据骨水泥注入区域的不同,将所有患者分为A组(30例)及B组(31例),A组骨水泥注入区域为椎体静脉密集区(椎体中1/3平面处),B组骨水泥注入区域为椎体静脉稀疏区(椎体上1/3及下1/3平面处),对比两组的骨水泥渗漏率,术前、术后6个月时的视觉模拟评分(Visual analogue scale,VAS),治疗中的骨水泥用量、椎体高度恢复率及cobb角恢复度数。结果:B组的骨水泥渗漏率及骨水泥用量均明显低于A组(P0.05)。两组的VAS评分、椎体高度恢复率、cobb角恢复情况对比差异无统计学意义(P0.05)。结论:与椎体静脉密集区相比,在椎体静脉稀疏区注入骨水泥可显著降低骨质疏松椎体压缩性骨折患者PVP术中骨水泥渗漏率,椎体静脉稀疏区可作为PVP术中骨水泥注射的一个相对安全区域。     

秦岭山区中国大鲵生境因子的选择

通过对秦岭山区中国大鲵(Andrias davidianus)栖息地生境因子调查、统计,利用R语言分析了各因子与大鲵生境选择的相关性,得出研究结果:秦岭山区影响大鲵生存的主要因子为栖息地类型(相关系数r=0.98),其次是水温(相关系数r=-0.8)、河岸坡度(r=-0.6)和p H (r=-0.6);浊度(相关系数r=0.5)、电导率(r=0.49)、DO(r=0.4)、人为干扰(r=0.35)和海拔(r=0.31)对大鲵分布影响不大。研究结果为探讨中国大鲵对野生环境的适应性选择提供了参考。     

Room Temperature Processed Highly Efficient Large‐Area Polymer Solar Cells Achieved with Molecular Engineering of Copolymers

The room temperature (RT) processability of the photoactive layers in polymer solar cells (PSCs) from halogen‐free solvent along with their highly reproducible power conversion efficiencies (PCEs) and intrinsic thickness tolerance are extremely desirable for the large‐area roll‐to‐roll (R2R) production. However, most of the photoactive materials in PSCs require elevated processing temperatures due to their strong aggregation, which are unfavorable for the industrial R2R manufacturing of PSCs. These limiting factors for the commercialization of PSCs are alleviated by synthesizing random terpolymers with components of (2‐decyltetradecyl)thiophen‐2‐yl)naphtho[1,2‐c:5,6‐c′]bis[1,2,5]thiadiazole and bithiophene substituted with methyl thiophene‐3‐carboxylate (MTC). In contrast to the temperature‐dependent PNTz4T polymer, the resulting random terpolymers (PNTz4T‐MTC) show better solubility, slightly reduced crystallinity and aggregation, and weaker intermolecular interaction, thus enabling PNTz4T‐MTC to be processed at RT from a halogen‐free solvent. Particularly, the PNTz4T‐5MTC‐based photoactive layer exhibits an excellent PCE of 9.66%, which is among the highest reported PCEs for RT and ecofriendly halogen‐free solvent processed fullerene‐based PSCs, and a thickness tolerance with a PCE exceeding 8% from 100 to 520 nm. Finally, large‐area modules fabricated with the PNTz4T and PNTz4T‐5MTC polymer have shown 4.29% and 6.61% PCE respectively, with an area as high as 54.45 cm² in air.     

Comparison of leaf area index inversion for grassland vegetation through remotely sensed spectra by unmanned aerial vehicle and field-based spectroradiometer

Aims Remote sensing technology has been proved useful in mapping grassland vegetation properties. Spectral features of vegetation cover can be recorded by optical sensors on board of different platforms. With increasing popularity of applying unmanned aerial vehicle (UAV) to mapping plant cover, the study aims to investigate the possible applications and potential issues related to mapping leaf area index (LAI) through integration of remote sensing imagery collected by multiple sensors.     

Environmental drivers interactively affect individual tree growth across temperate European forests

Forecasting the growth of tree species to future environmental changes requires a better understanding of its determinants. Tree growth is known to respond to global‐change drivers such as climate change or atmospheric deposition, as well as to local land‐use drivers such as forest management. Yet, large geographical scale studies examining interactive growth responses to multiple global‐change drivers are relatively scarce and rarely consider management effects. Here, we assessed the interactive effects of three global‐change drivers (temperature, precipitation and nitrogen deposition) on individual tree growth of three study species (Quercus robur/petraea, Fagus sylvatica and Fraxinus excelsior). We sampled trees along spatial environmental gradients across Europe and accounted for the effects of management for Quercus. We collected increment cores from 267 trees distributed over 151 plots in 19 forest regions and characterized their neighbouring environment to take into account potentially confounding factors such as tree size, competition, soil conditions and elevation. We demonstrate that growth responds interactively to global‐change drivers, with species‐specific sensitivities to the combined factors. Simultaneously high levels of precipitation and deposition benefited Fraxinus, but negatively affected Quercus’ growth, highlighting species‐specific interactive tree growth responses to combined drivers. For Fagus, a stronger growth response to higher temperatures was found when precipitation was also higher, illustrating the potential negative effects of drought stress under warming for this species. Furthermore, we show that past forest management can modulate the effects of changing temperatures on Quercus’ growth; individuals in plots with a coppicing history showed stronger growth responses to higher temperatures. Overall, our findings highlight how tree growth can be interactively determined by global‐change drivers, and how these growth responses might be modulated by past forest management. By showing future growth changes for scenarios of environmental change, we stress the importance of considering multiple drivers, including past management and their interactions, when predicting tree growth.     

Leveraging plant hydraulics to yield predictive and dynamic plant leaf allocation in vegetation models with climate change

Plant functional traits provide a link in process‐based vegetation models between plant‐level physiology and ecosystem‐level responses. Recent advances in physiological understanding and computational efficiency have allowed for the incorporation of plant hydraulic processes in large‐scale vegetation models. However, a more mechanistic representation of water limitation that determines ecosystem responses to plant water stress necessitates a re‐evaluation of trait‐based constraints for plant carbon allocation, particularly allocation to leaf area. In this review, we examine model representations of plant allocation to leaves, which is often empirically set by plant functional type‐specific allometric relationships. We analyze the evolution of the representation of leaf allocation in models of different scales and complexities. We show the impacts of leaf allocation strategy on plant carbon uptake in the context of recent advancements in modeling hydraulic processes. Finally, we posit that deriving allometry from first principles using mechanistic hydraulic processes is possible and should become standard practice, rather than using prescribed allometries. The representation of allocation as an emergent property of scarce resource constraints is likely to be critical to representing how global change processes impact future ecosystem dynamics and carbon fluxes and may reduce the number of poorly constrained parameters in vegetation models.     

Relative roles of niche and neutral processes on turnover of plant,fungal and bacterial communities in arid and semi-arid areas at the regional scale

The mechanisms that determine the spatial structure of macroscopic and microbial communities and how they respond to environmental changes are central themes that have been explored in ecological research. However, little is known about the relative roles and importance of neutral and niche-related factors in the assemblage of bacterial, fungal, and plant communities. Here partial Mantel, null model, and variation partitioning analysis were used to compare mechanisms driving the beta diversity of bacteria, fungi and plant communities at the regional scale in arid and semi-arid areas. Denaturing gradient gel electrophoresis (PCR-DGGE) was used to evaluate the distribution pattern of microbial communities, and vegetation survey were conducted to evaluate the characteristics of plant communities. We found that bacterial, fungal, and plant communities were strongly influenced by niche processes at the regional scale in arid and semi-arid areas. Bacteria had a stronger habitat association, indicating community assembly is strongly affected by niche processes. Fungi, with their body size between plants and bacteria, had moderate environment correlation, and plants had less environment association than fungi or bacteria, which suggests that body size may determine the association between organism and environment. We concluded that the pivotal niche process, environmental filtering, weakened with increasing body size, and it should be considered when we evaluate the relative roles of deterministic and stochastic processes in community assemblage.     

在矿山废弃地上发展可再生能源的潜力——以辽宁省为例

在国内外碳减排压力和我国能源结构调整需求下,我国可再生能源的开发压力较大.矿山具有丰富的废弃土地,发展可再生能源的潜力巨大,在矿山废弃地上开发可再生能源对我国的能源战略具有重要意义.本研究以辽宁省矿山废弃地为例,提出矿山废弃地的生物质能与太阳能发展预案,估算辽宁省矿山废弃地的可再生能源发展潜力.结果表明:辽宁省1227.6 km2的矿山废弃地面积发展可再生能源的潜力较大,不同预案的潜力差异显著.预案1以光伏发电最大化为目标模式,总计可发电量为79.4 TWh,折标煤量32.1 Mt,碳减排量为79.1Mt CO2.预案2以生物质能源利用最大化为目标模式,光伏与生物质能总的发电量可达到31.2~33.1 TWh,折标煤量12.7~13.4 Mt,碳减排量为31.1~33.0 Mt CO2.预案3以矿山能源综合利用最大化为目标并兼顾生态修复的发展模式,光伏与生物质能总的发电量可达到62.3~63.7 TWh,折标煤量25.1~25.7 Mt,碳减排量为62.1~63.5 Mt CO2.3种预案的发电量在31.2~79.4 TWh,占辽宁省2016年总电力消费量的15.3%~38.9%,折标煤量12.7~32.1 Mt,碳减排量为31.1~79.1 Mt CO2.本研究对在矿山废弃地上发展可再生能源潜力及其替代化石能源能力的评估,对于碳减排、能源结构的调整以及矿山废弃地的生态修复具有重要的研究意义.