Multi-scale study of bird species distribution and of their response to vegetation change: a Mediterranean example

Land use changes operate at different scales. They trigger a cascade of effects that simultaneously modify the composition or structure of the landscape and of the local vegetation. Mobil animals, and birds in particular, can respond quickly to such multi-scalar changes. We took advantage of a long term study on the response of songbirds to land-use changes on four Mediterranean islands in Corsica and Sardinia to explore the benefits of a multi-scale analysis of the relationships between songbird distribution, vegetation structure and landscape dynamics. Field data and aerial photographs were used to describe the vegetation at three different scales. Birds were censused by point counts. We used statistical variance decomposition to study how bird distribution and vegetation at various scales were linked. We analysed multi-scale vegetation changes (floristic composition, plot vegetation type, and landscape structure) and their consequences on bird distribution with multivariate and non-parametrical tests. The distribution of most species was linked to at least two spatial scales. The weight of a given scale was consistent with life-history traits for species whose biology was well-known. In the examples studied, vegetation composition, vegetation type and landscape changes that resulted from land abandonment negatively affected birds depending on open or heterogeneous areas. Our results emphasize that multi-scale analyses can greatly enhance our understanding of bird distribution and of their changes. Management of these populations should take into account measures at various spatial scales depending on the sensitivity of the species.     

Fallen wood decomposition of Pinus koraiensis and Tilia amurensis

Inttxiducti()nSnagandfaIlenwoodwasin1ps)rtantcolllponel1tSofft)restecosystem,nutrientpoolf`'rforestal1in1alsal1dn1icrobes,alsowashoPortantapproachofe11ergyflowa11dmaterialnowinforest.soforestecoIogistsattachedinlportaI1cetostudyonsnagandfallel1woodil1creasinglya11dl1ewlydevelopedd1e"ECologyofWood`lecomPOsitiol1'{"'l.Inresearchworkli1Olal1gbaiMoul1tainForestEcosys-tem,tllestudyl4,7,s,9,1o]lladbeenco11ductedinfallel1woodsince8os,andtheresearchra11gewasverywidespread.Buttl1esestUdieswerenl…     

Succession and phylogenetic profile of eukaryotic communities in rice straw incorporated into a rice field: Estimation by PCR-DGGE and sequence analyses

Abstract

Succession and the phylogenetic profile of eukaryotic communities associated with rice straw decomposition in a rice field were studied using polymerase chain reaction-denaturing gradient gel electrophoresis (PCR-DGGE) analysis followed by 18S rDNA sequencing. Nylon mesh bags containing leaf sheaths or blades were buried in the plow layer of a rice field under flooded conditions after transplanting (Experiment 1) and under drained conditions during the off-crop season (Experiment 2). In addition, rice straw samples in Experiment 2 were taken out before plowing in spring and re-placed in the rice field under flooded conditions at transplanting. Statistical analyses based on DGGE patterns showed that eukaryotic communities were divided into two groups, namely group A before the placement in soil, after the mid-season drainage in Experiment 1 and under the drained conditions in Experiment 2 and group B before the mid-season drainage in Experiment 1 and under the flooded conditions in Experiment 2. Based on the sequence analysis of DGGE bands, which characterized the eukaryotic communities, succession of the communities was revealed, that is, most of the bands in group A were closely related to fungi, whereas the bands in group B were closely related to protozoa. These results indicated that eukaryotic communities associated with rice straw decomposition in the rice field are mainly affected by soil conditions, such as oxic or reduced conditions, irrespective of rice straw parts (leaf sheaths and blades).     

振荡发酵生产球形细菌纤维素

采用振荡发酵生产球粒形细菌纤维素,以提供外观和口感新颖独特的纤维素产品.结果表明:培养基的碳源浓度、椰子水添加量、装瓶量、振荡速度等对纤维素颗粒的形状、产量影响较大.最佳发酵工艺为:15g/L蔗糖,(NH4)2SO43 g/L,KH2PO43g/L,MgSO4·7H2O 0.2 g/L,酵母粉0.5 g/L,20%(ν/ν)椰子水,20%(ν/ν)菠萝汁,500mL三角瓶装200mL发酵液(液高3.4 cm),初始pH4.5,150 r/min,30℃振荡培养10d.在此条件下,可得到粒形均匀(φ 0.8～1.0 cm)、产量较高(3.15 g/L)的球形细菌纤维素.这种新型纤维素球粒能满足食品工业和消费者多元化的需求.     

一种改进的基于混沌吸引子的径流降尺度分析

基于混沌理论，研究水文科学的尺度问题，将混沌分析方法应用于径流的降尺度计算。通过分析大时间尺度的年径流量分解到小时间尺度的月径流量的分解系数的混沌特征量，论证了分解系数具有混沌特性。在此基础上，对分解系数的预测方法提出改进意见并给出具体算法。然后根据预测结果进行月径流量的降尺度计算。实例研究表明，改进的算法用于径流量的降尺度分析具有明显的优点。     

蒸汽爆破技术在玉米秸秆饲料化利用中的研究进展

玉米秸秆是作物残余物中最丰富的木质纤维素生物质之一,主要由纤维素、半纤维素和木质素通过氢键及其他化学键、分子键结合而成,是具有复杂聚合结构的高分子化合物,作为动物饲料的可利用率较低。蒸汽爆破即汽爆,是应用蒸汽弹射原理实现爆炸过程中对生物质预处理的技术。将蒸汽爆破技术应用于玉米秸秆处理,可高效分离纤维素,对玉米秸秆具有明显的解聚作用,有利于提高玉米秸秆的饲料化利用程度。作者介绍了蒸汽爆破工艺原理与参数,综述了蒸汽爆破处理对玉米秸秆纤维结构、化学成分和酶解产糖的影响,以及对玉米秸秆的营养成分消化率和瘤胃微生物附着的影响。已有研究表明,蒸汽爆破可使蒸汽分子渗入植物组织,经过瞬时释放将内能转化为机械能,作用于生物质组织细胞层间,达到原料分解的目的;蒸汽爆破可改变玉米秸秆的纤维结构,降低半纤维素和木质素含量,提高纤维素含量(随着蒸汽爆破的压强和维压时间的增加,半纤维素含量显著降低,而物料含水率的增加会导致纤维素含量升高);蒸汽爆破可提高玉米秸秆体外发酵酶解产糖率,随着蒸汽爆破压强和维压时间的增加,玉米秸秆体外培养酶解还原糖产量增加;蒸汽爆破可使玉米秸秆的体外发酵产气量、产气速率、干物质和酸性洗涤纤维含量显著提高,可提高反刍动物对玉米秸秆的消化利用率,充分利用玉米秸秆的纤维素,提高玉米秸秆的营养价值;蒸汽爆破通过破坏玉米秸秆的表面结构,可促进瘤胃微生物在玉米秸秆上的附着,从而促进玉米秸秆的降解。综上,蒸汽爆破技术处理玉米秸秆可提高其作为饲料的利用率。     

皱纹盘鲍内脏酶的酶学性质及褐藻胶裂解酶的分离纯化

采用(NH4)2SO4分段盐析、透析、阴离子(DEAE-52)交换柱层析、SephadexG-200凝胶柱层析等分离纯化技术，通过SDS-PAGE电泳分析了皱纹盘鲍内脏酶的组成，结果表明鲍内脏酶主要含有两种褐藻胶裂解酶Ⅰ, Ⅱ，一种纤维素酶，一种琼脂酶。对酶的酶学性质分析结果表明两种褐藻胶裂解酶Ⅰ, Ⅱ的最适pH分别为8.6, 7.2，最适温度为35 ℃，分子量分别为35.2 ku, 67 ku；两种褐藻胶裂解酶的热稳定性比较差，且易受金属离子影响；纤维素酶的最适pH为5.0，最适温度为40 ℃。并确定了皱纹盘鲍内脏酶分离纯化的方法及参数，为进一步研究鲍内脏复合酶的性能提供了基础参数。图14表3参12 关键词：皱纹盘鲍； 褐藻胶裂解酶； 纤维素酶； 纯化 E-mail：wqk320@dlfu.edu.cn     

热水溶出茧层丝胶蛋白的结构变化

对不同时间热水溶出的茧层丝胶的氨基酸组成、热分解温度和分子结构等进行了测定分析．结果表明，随着热水溶出时间的延长，茧层丝胶蛋白中的酸性氨基酸因易溶于水而略有下降，热分解温度因受取向性、结晶性的影响而有所增高，分子结构也由无规则卷曲转化为β构象．丝胶蛋白被降解而成分子大小不一的混合类型     

Upscaling as ecological information transfer: a simple framework with application to Arctic ecosystem carbon exchange

Transferring ecological information across scale often involves spatial aggregation, which alters information content and may bias estimates if the scaling process is nonlinear. Here, a potential solution, the preservation of the information content of fine-scale measurements, is highlighted using modeled net ecosystem exchange (NEE) of an Arctic tundra landscape as an example. The variance of aggregated normalized difference vegetation index (NDVI), measured from an airborne platform, decreased linearly with log(scale), resulting in a linear relationship between log(scale) and the scale-wise modeled NEE estimate. Preserving three units of information, the mean, variance and skewness of fine-scale NDVI observations, resulted in upscaled NEE estimates that deviated less than 4% from the fine-scale estimate. Preserving only the mean and variance resulted in nearly 23% NEE bias, and preserving only the mean resulted in larger error and a change in sign from CO₂ sink to source. Compressing NDVI maps by 70–75% using wavelet thresholding with the Haar and Coiflet basis functions resulted in 13% NEE bias across the study domain. Applying unique scale-dependent transfer functions between NDVI and leaf area index (LAI) decreased, but did not remove, bias in modeled flux in a smaller expanse using handheld NDVI observations. Quantifying the parameters of statistical distributions to preserve ecological information reduces bias when upscaling and makes possible spatial data assimilation to further reduce errors in estimates of ecological processes across scale.     

梨果实在贮藏过程中果胶分解酶活性的变化

以苹果梨和新高梨为试材,测定了梨贮藏过程中果胶分解酶的活性变化.结果表明:2品种果实在软化过程中多聚半乳糖醛酸酶(PG)活性均增加且在贮藏后期新高梨的PG活性极显著(p<0.01)高于苹果梨;贮藏性强的苹果梨的β-半乳糖苷酶(β-Gal)活性很低且在贮藏中减少,但贮藏性相对较弱的新高梨的β-Gal活性极显著(p<0.01)高于苹果梨且在可溶性果胶增加的时期达活性高峰;苹果梨的果胶甲基酯酶(PME)活性在贮藏后期有所增加,但新高梨减少.可见,在贮藏过程中PG和β-Gal酶均是梨果实软化的重要酶,但β-Gal的作用比PG酶更重要;PME的活性变化因品种而异,与耐贮性关系不大.