基于CL-PIOP方法的青岛市生态网络结构要素评价

景观生态学中的生态网络概念,已被国内外越来越多机构与学者所接受。生态网络结构要素的量化评价成为生态网络能否真正发挥在空间上调和自然生态保护与社会发展作用的关键。图形理论中相关评价指数为量化评价提供了方法。探讨如何基于图形理论中相关评价结果数据,发现对一个地区生态网络连通性有重要影响的斑块与廊道等生态网络结构要素。以青岛作为研究案例区域,使用最小成本路径模型构建了湿地和林地两种生态网络,并以一定阈值为标准对生态网络做等级划分,采用图形理论中的CL-PIOP评价方法作为基础方法,提出两种生态网络结构要素评价标准对结果数据作深入分析。分析结果表明:基于不同等级生态网络斑块的CL-PIOP重要性频次统计可以有效的识别对网络连通性有重要作用的斑块,既涵盖了几乎所有大面积的斑块,同时也包括一定数量的小面积斑块;CL-PIOP评价方法可在众多廊道中快速识别具有不可替代作用的廊道,且根据CL-PIOP值大小以及在各等级网络中非零CL-PIOP值的频率统计进一步确定廊道的重要程度。此外,不同等级网络中CL-PIOP值存在异常增大的斑块及其相关廊道对于网络构建与连通性增强有关键作用,这些斑块通常与面积等自身的属性无关,而与其在网络所处的位置相关。生态网络模型与图形理论相关方法结合可以快速有效的识别区域重要的生态用地,为相关规划中生态用地的保护、恢复提供量化依据。     

Intraspecific variation of Eolophiodon laboriense,a basal Lophiodontidae (Mammalia,Perissodactyla) from the early Eocene of Southern France

The Lophiodontidae is an emblematic and well-documented Eocene family of perissodactyls from Western Europe. However, after more than a century and a half of studies, lophiodontids still display a complex systematics associated with blurry intraspecific variation and a poorly known early radiation. The locality of La Borie, located near the city of Toulouse, France, has yielded numerous remains of Eolophiodon laboriense. This abundance of remains allows for the first time the study of the intraspecific variation of a basal lophiodontid. The variation has been investigated for dental and cranio-mandibular characters, notably dental polymorphism, size variation and sexual dimorphism. The intraspecific variation of E. laboriense is high with more than 20 polymorphic characters of the dentition, including many additional crests and conules. This dental polymorphism is similar to the one observed in the Bartonian lophiodontid Lophiodon lautricense. E. laboriense also displays an important degree of sexual dimorphism, with male specimens having broader and longer mandibles with larger canines than females. Despite this high intraspecific variation, the low size variation of teeth and the consistency of diagnostic characters strengthen the validity of the genus Eolophiodon and does not impact the previous lophiodontid phylogeny.     

Lanthanide complexes of a cross-bridged cyclam ligand: Isolation and structural characterization of unusual trinuclear μ3-imido Yb(III) cluster cations and a mixed valence Yb(II/III) salt containing an Yb(II) anion

The reaction of the cross-bridged cyclam ligand H₂CBC with divalent ytterbium precursors, Yb[N(SiMe₃)₂]₂[L]₂ (L = THF or Et₂O) or Yb(C₅Me₅)₂(OEt₂) afforded polymeric [Yb(CBC)]_n (1), as the primary product. In addition, the Yb[N(SiMe₃)₂]₂[L]₂ reactions also afforded a small amount of an unusual mixed valence salt containing a trinuclear Yb(III) cluster cation featuring a triply bridging NH group and a mononuclear Yb(II) anion, {[Yb(CBC)]₃[μ³-NH]}⁺ {Yb[N(SiMe₃)₂]₃}⁻ (2). A related cluster containing an iodide counterion, {[Yb(CBC)]₃[μ³-NH]}⁺ I⁻ (3), was also isolated in one case. The structures of salts 2 and 3 were determined by X-ray crystallography. Reaction of [Yb(CBC)]_n with p-tolyldisulfide, (C₆H₄MeS)₂, produced burgundy crystals of [Yb(CBC)(S-p-C₆H₄Me)]_n (4). The ¹H NMR spectra of 2 suggests that the trinuclear cation remains intact in THF-d₈ solution.     

6周不同强度间歇性运动对肥胖大鼠体成分的影响*

目的:探讨不同强度间歇性运动对肥胖大鼠身体机能影响,为肥胖症的防治提供依据。方法:80只SD大鼠随机分成普通膳食组(n=20)和高脂膳食组(n=60),适应性喂养8周后,筛选普通膳食大鼠8只和高脂膳食肥胖大鼠32只,用于后续实验。将实验大鼠随机分为5组(n=8):普通对照组(CS),普通饲料喂养,不做任何运动;高脂安静组(HS):高脂饲料喂养,不作任何运动;高脂持续运动组(HC):进行60 min/d×5天/周×6周;高脂长时间低频率间歇性运动组(HLL):进行30 min/次×2次/天(间歇6 h)×5天/周×6周;高脂短时间高频率间歇性运动组(HSH):进行20 min/次×3次/天(间歇3 h)×5天/周×6周,各运动组大鼠在跑台上训练强度均为25 m/min。6周后,各组大鼠称重、检测RMR、FBG、TG等生化指标,并测量体脂及肌肉重量。结果:实验前,各组大鼠之间RMR、FBG、TG指标无统计学差异(P＞0.05);HSH、HLL、HC、HS组体重均明显高于CS组(P＜0.05)。实验后,HSH、HLL、HC组RMR均明显高于HS、CS组(P＜0.05),但HSH、HLL、HC组之间无显著性差异(P＞0.05);HS组体重高于CS组(P＜0.05),HSH、HLL、HC组体重明显低于HS组(P＜0.05),但三组之间无显著性差异(P＞0.05);HSH、HLL、HC组之间PF、EF、PF/W、EF/W均明显低于HS组(P＜0.01),而三者之间无统计学差异(P＞0.05);各组大鼠GM、QF均无显著性差异(P＞0.05),HSH、HLL、HC组之间GM/W、QF/W高于HS组(P＜0.05),而HSH、HLL、HC组之间无显著性差异(P＞0.05);HSH、HLL、HC组FBG、TG均明显低于CS、HS组(P＜0.05),但与HS组差异更显著(P＜0.01),而各训练组之间无显著性差异(P＞0.05)。结论:6周不同强度间歇性运动对肥胖大鼠体成分产生了良好的干预效果,且短时间高频率间歇性运动(HSH)效果可能更好。     

Estimation algorithm for chlorophyll-a concentrations in water from hyperspectral images based on feature derivation and ensemble learning

Multicollinearity between feature bands is one of the main interferences in the process of retrieving chlorophyll-a (Chl-a) concentration in water bodies from hyperspectral data. Meanwhile, the model capability is also a decisive factor for inversion accuracy. To eliminate multicollinearity between feature bands and enhance data-driven of the retrieve of Chl-a concentration, this study proposed a feature bands selection strategy (FD-FI) based on knee-point-detection and variance inflation factor (VIF). Then, to realize model-driven, nine machine learning algorithms are combined to construct a MixModel, which was compared with other models. Chl-a concentration in Nansi Lake was estimated using “Zhuhai-No.1” remote sensing images and field measured data. The results show that the FD-FI strategy can effectively eliminate multicollinearity between bands or band combinations (VIF < 7). Using the same model, the strategy proposed in this study has a higher accuracy than existing strategies. In the five-fold cross-validation, XGBoost_FD-FI obtained the best performance with Coefficient of Determinatio (R²) and Root Mean Squared Error (RMSE) of 0.8351 and 6.6477 μg/L. In addition, combined with MixModel, the FD-FI strategy further improves the accuracy of Chl-a retrieval with R² = 0.8664 and RMSE = 5.7926 μg/L. When the model was applied to remote sensing images, the Chl-a spatial distribution obtained by the FD-FI strategy on the four models was the most consistent. MixModel is more sensitive to very high and low Chl-a concentrations, and its generalisation is more stable. Overall, this study provides an innovative approach for the selection of feature bands and model construction for Chl-a retrieval from inland lakes.     

基因网络相继故障机理分析

癌相关基因在疾病发生与发展过程中的作用机理是非常重要的研究课题。现代数据分析方法,为从基因组数据中推断癌相关基因之间的关联,以及分析基因组的作用机理提供了有效的手段。本文根据基因表达谱数据分别建立了正常组织与神经胶质瘤和肾癌的患病组织的基因互信息网络。用以介数为基础的相继故障模型研究了基因网络结构与鲁棒性之间的关系。定义了网络相继故障节点百分比、平均相继故障规模和相继故障规模比例累积概率等衡量网络鲁棒性的结构参数。通过对照组与实验组之间的比对,我们发现实验组网络比对照组网络更加稳定,并将引起网络大规模相继故障的基因称为结构性关键基因。这些结构性关键基因中的一部分已经被证明与神经胶质瘤或肾癌的发生、发展有密切关系。大多数基因被预测在神经胶质瘤和肾癌的发生中起着激励或抑制作用,需要进一步的试验验证。预测信息为研究癌相关基因提供了新的方向。     

大气颗粒物污染对土地覆盖变化的响应

土地利用-覆盖变化(LUCC)直接或间接影响颗粒物污染。了解颗粒物污染对LUCC的响应,对维护和改善生态环境具有重要的意义。基于卫星遥感技术,从广域的空间尺度分析颗粒物污染对LUCC的响应。使用MODIS数据分别提取与颗粒物污染相关性较高的城市用地、林地等土地利用类型,确定土地利用类型的变化趋势,利用长时间序列MODIS气溶胶光学厚度(AOD,Aerosol optical depth)产品分析颗粒物污染与土地利用类型的变化的相关性。以山东省青岛市、淄博市、济南市3个典型城市为例,研究了AOD随土地利用类型的变化趋势。同时,考虑并分析了颗粒物污染对土地利用变化响应的敏感性,以及城市区域变化对环境的影响。研究结果表明,不同的城市类型,由于决定环境变化主导因素的差异,颗粒物污染对LUCC的响应具有明显的差异。青岛市地区,由于受海洋影响显著,大气颗粒物污染与LUCC的相关性较低,如中度污染天气与林地的相关系数为-0.451;而淄博市和济南市的相关系数分别为-0.473、-0.507。     

Stress Tolerance Variations in Saccharomyces cerevisiae Strains from Diverse Ecological Sources and Geographical Locations

The budding yeast Saccharomyces cerevisiae is a platform organism for bioethanol production from various feedstocks and robust strains are desirable for efficient fermentation because yeast cells inevitably encounter stressors during the process. Recently, diverse S. cerevisiae lineages were identified, which provided novel resources for understanding stress tolerance variations and related shaping factors in the yeast. This study characterized the tolerance of diverse S. cerevisiae strains to the stressors of high ethanol concentrations, temperature shocks, and osmotic stress. The results showed that the isolates from human-associated environments overall presented a higher level of stress tolerance compared with those from forests spared anthropogenic influences. Statistical analyses indicated that the variations of stress tolerance were significantly correlated with both ecological sources and geographical locations of the strains. This study provides guidelines for selection of robust S. cerevisiae strains for bioethanol production from nature.