Large‐scale patterns of fish diversity and assemblage structure in the longest tropical river in Asia

Although the Mekong River is one of the world's 35 biodiversity hot spots, the large‐scale patterns of fish diversity and assemblage structure remain poorly addressed. This study aimed to investigate the fish distribution patterns in the Lower Mekong River (LMR) and to identify their environmental determinants. Daily fish catch data (i.e. from December 2000 to November 2001) at 38 sites distributed along the LMR were related to 15 physicochemical and 19 climatic variables. As a result, four different clusters were defined according to the similarity in assemblage composition and 80 indicator species were identified. While fish species richness was highest in the Mekong delta and lowest in the upper part of the LMR, the diversity index was highest in the middle part of the LMR and lowest in the delta. We found that fish assemblages changed along the environmental gradients and that the main drivers affecting the fish assemblage structure were the seasonal variation of temperature, precipitation, dissolved oxygen, pH and total phosphorus. Specifically, upstream assemblages were characterised by cyprinids and Pangasius catfish, well suited to low temperature, high dissolved oxygen and high pH. Fish assemblages in the delta were dominated by perch‐like fish and clupeids, more tolerant to high temperatures, and high levels of nutrients (nitrates and total phosphorus) and salinity. Overall, the patterns were consistent between seasons. Our study contributes to establishing the first holistic fish community study in the LMR.     

暖卫工程施工质量通病的发生与防治

本文论述了暖卫工程跑、冒、滴、漏、堵等五大质量通病的发生原因及防治方法建议等。     

A novel approach to studying the effects of temperature on soil biogeochemistry using a thermal gradient bar

The temperature dependence of chemical reaction rates and microbial metabolism mean that temperature is a key factor regulating soil trace gas emissions and hydrochemistry. Here we evaluated a novel approach for studying the thermal response of soils, by examining the effects of temperature on gas emissions and hydrochemistry in (a) peat and (b) soil from a Sitka spruce plantation. A thermal gradient was applied along an aluminium bar, allowing soil to be incubated contemporaneously from 2 to 18 °C. The approach demonstrated clear differences in the biogeochemical responses of the two soil types to warming. The peat showed no significant emission of CH₄ at temperatures below 6 °C, while above 6 °C, a marked increase in the rate of release was apparent up to 15 °C (Q₁₀ = 2.5) with emissions being similar between 15 and 18 °C. Conversely, CH₄ emissions from the forest soil did not respond to warming. Nitrate availability in the peat decreased by 90% between 2 and 18 °C (P < 0.01), whereas concentrations in the forest soil did not respond. Sulphate availability in the peat decreased significantly with warming (60%, P < 0.01), while the forest soil showed the opposite response (a 30% increase, P < 0.01). Conventionally, thermal responses are studied by incubating individual soil samples at different temperatures, involving lengthy preparation and facilities to incubate samples at different temperatures simultaneously. Data collected on a given thermal response is usually limited and thus interpolated or extrapolated. The thermal gradient method overcomes these problems, is simple and flexible, and can be adapted for a wide range of sample types (not confined to soil). Such apparatus may prove useful in the optimization of management practices to mitigate the effects of climate change, as thermal responses will differ depending on land use and soil type.     

Effect of sodium nitrite and sodium chloride on growth of lactic acid bacteria.

The effect of NaNO2 and NaCl on the growth of 24 lactic acid bacteria strains isolated from vacuum-packed cooked ring sausages were examined by analyzing different growth parameters with Bioscreen. NaNO2 had a very limited effect on the growth of lactic acid bacteria at 50 and 100 mg/l but at 400 mg/l a more pronounced inhibitory effect was found. Bacterial growth was enhanced by 1-2% (w/v) of added NaCl, while NaCl concentrations above 3% (w/v) had a clear inhibitory effect. Leuconostoc isolates seemed to be more sensitive to sodium nitrite and sodium chloride than homofermentative lactobacilli strains. Among homofermentative lactobacilli, the strains resembling Lactobacillus curvatus were more sensitive to NaCl than those resembling Lactobacillus sake.     

贺兰山西坡不同海拔梯度草地土壤氮特征

以阿拉善左旗境内贺兰山中段(西坡)及山前地带不同海拔下的草地为研究对象,分析不同海拔梯度下草地土壤全氮的分布特征及其与气候因子、植被特征和土壤特性的关系.结果表明,土壤全氮含量随海拔的降低而逐渐降低,在典型草原中沿土壤垂直剖面依次降低,在高寒草甸、荒漠化草原和草原化荒漠0～20与20～40 cm土层中差异不显著,但高于40～60 cm土层.在海拔1 360～1 380 m草原化荒漠的5个样地上,由于放牧利用程度和植被类型的不同,0～20 cm土层土壤氮的含量变幅在0.022 8%～0.034 7%.0～20,20～40和40～60 cm土层土壤全氮含量与年降水量、植被盖度、草地生产力、土壤含水量、有机碳含量和<0.05 mm颗粒含量呈极显著正相关,与年均温、土壤pH值呈极显著负相关(P<0.001).偏相关分析显示,影响0～20 cm土层全氮(TN)含量最主要的因素是植被盖度(C)和年降水量(AP),相关方程是TN%=0.002 040 C 0.000 585 AP-0.076 800;而影响20～40 cm土层全氮含量的最主要因素是草地生产力(B),与土壤全氮回归方程为TN%=0.001 6 B 0.024 7.而各环境因素中影响土壤全氮含量最主要的因素,0～20 cm土层为土壤有机碳和年降水量,20～40 cm土层主要受土壤有机碳的影响.     

基于氮梯度加载下的温室核桃砧木苗生长生理特性变化

【目的】探究新疆核桃砧木苗生长特征及生理特性对氮梯度的响应,为核桃砧木苗施氮标准化的探究奠定基础。【方法】以阿克苏厚皮农家种质核桃砧木苗为研究对象,进行不同梯度的氮素诱导,测定核桃砧木苗生长及生理指标。【结果】基于氮梯度加载下的核桃砧木苗株高、地径、叶片数、叶长、光合色素含量、可溶性蛋白质含量、可溶性糖含量、硝酸还原酶活性、谷氨酰胺合成酶活性均呈上升趋势,并在15 g.a^-1.m^-2处理下达到最高值。【结论】适量地增施氮肥有利于核桃砧木苗的生长、提高砧木苗体内营养物质含量以及促进氮代谢能力。     

多尺度DEM提取河流比降的对比分析

研究旨在用DEM计算河流比降,分析DEM分辨率与阈值对比降的影响,并提取最佳分辨率与最佳阈值。以延河流域的ASTER GDEM和SRTM3 DEM为原始数据源,利用Arc GIS分别提取60、150、200、300 m分辨率下延河流域的主河道,并据此计算流域平均比降。结果表明:延河的平均比降为3.39‰;DEM分辨率与汇流阈值对比降影响较大,当DEM分辨率小于150 m时,比降随阈值增大而减少;DEM分辨率大于150 m,比降逐步增大。延河流域河流比降分析的DEM分辨率不宜超过150 m,其中DEM分辨率为90 m时,计算的比降结果较为符合延河流域实际情况;DEM分辨率为30、60、90、150、200、300 m时,计算比降的最佳阈值分别为65000、60000、30000、70000、40000、20000;利用85%的主河道折线段信息,进行比降计算,其结果接近真实值。研究实现了基于DEM的河流比降计算,有助于DEM在水文学等流域的应用。     

陕北黄土区退耕还林(草)地土壤质量特征及其对降水的响应

为了解陕北黄土区退耕还林（草）地土壤质量差异特征及其对降水的响应，该文沿370～470 mm的降水梯度，选取了陕西省吴起县境内的王洼子（370～395 mm）、大吉沟（440～445 mm）和白豹（460～470 mm）3个降水梯度区作为研究区，并结合土壤质量指数法，定量评价降水梯度区广泛栽植的刺槐林（Robinia pseudoacacia）、沙棘林（Hippophae rhamnoides）和草地的土壤物理结构、持水性、盐碱度、碳汇指标以及速效养分指标方面的综合得分，明确植被恢复后土壤质量随降水梯度的变化特征。结果表明：1）降水量、植被类型以及二者的交互作用对土壤指标影响显著（P<0.05）。2）在460～470 mm降水量区，刺槐林（0.829）对土壤质量改良效果最好，其次为沙棘林（0.808），二者土壤质量均达到肥沃水平，且差异不显著，草地（0.679）土壤质量指数最低，土壤为较肥沃水平；在440～445 mm降水量区，沙棘林（0.74）对土壤改良效果最好，其次为刺槐林（0.601），二者均达到较肥沃水平，草地（0.479）土壤质量指数最低为中等水平；在370～395 mm降水量区，3种植被类型土壤质量指数由大到小表现为沙棘林（0.744）>刺槐林（0.387）>草地（0.251），沙棘林土壤质量等级为较肥沃、刺槐林和草地为贫瘠水平。3）在370～470 mm降水梯度内，3种植被类型土壤质量综合指数均随着降水量的减少而降低，其中沙棘林土壤质量指数变异性较低（4.1%），刺槐林（30.1%）和草地（37.2%）土壤质量变异性较高。该研究结果可为陕北黄土区370～470 mm降水梯度下的植被恢复与重建等林业生态工程实施提供数据支撑与理论支持。     

基于气象-生理的夏玉米作物系数及蒸散估算

准确估算作物系数对预测作物实际蒸散量和制定精准的灌溉计划至关重要。为反映作物逐日作物系数变化,综合考虑气象和生物因子对作物生长的共同影响,采用五道沟水文实验站大型蒸渗仪夏玉米实测蒸散及气象数据,基于地温及叶面积指数建立了气象-生理双函数乘法模型,并结合梯度下降法对模型进行了精度优化。结果表明,在整个玉米生长期中,作物系数实测值和计算值平均绝对误差为0.12,均方根误差为0.15,相关性为0.91,蒸散量实测值与计算值平均绝对误差为1.0 mm/d,均方根误差为4.5 mm/d,相关性为0.75。该模型计算的全生育期蒸散量准确率(误差在2～3 mm/d以内)相比使用联合国粮农组织(FAO)推荐的作物系数计算所得准确率提高了3倍以上,可更精确用于作物系数及蒸散量计算。     

Response of the soil fungal community to multi-factor environmental changes in a temperate forest

Both environmental and climatic changes are known to influence soil microbial biomes in terrestrial ecosystems. However, there are limited data defining the interactive effects of multi-factor environmental disturbances, including N-deposition, precipitation, and air temperature, on soil fungal communities in temperate forests. A 3-year outdoor pot experiment was conducted to examine the temporal shifts of soil fungal communities in a temperate forest following N-addition, precipitation and air temperature changes. The shifts in the structure and composition of soil fungal communities were characterized by denaturing gradient gel electrophoresis and DNA sequencing. N-addition regimen induced significant alterations in the composition of soil fungal communities, and this effect was different at both higher and lower altitudes. The response of the soil fungal community to N-addition was much stronger in precipitation-reduced soils compared to soils experiencing enhanced precipitation. The combined treatment of N-addition and reduced precipitation caused more pronounced changes in the lower altitude versus those in the higher one. Certain fungal species in the subphylum Pezizomycotina and Saccharomycotina distinctively responded to N fertilization and soil water control at both altitudes. Redundancy discrimination analysis showed that changes in environmental factors and soil physicochemical properties explained 43.7% of the total variability in the soil fungal community at this forest ecosystem. Variations in the soil fungal community were significantly related to the altitude, soil temperature, total soil N content (TN) and pH value (P < 0.05). We present evidence for the interactive effects of N-addition, water manipulation and air temperature to reshape soil fungal communities in the temperate forest. Our data could provide new insights into predicting the response of soil micro-ecosystem to climatic changes.