Effects of bio-organic fertilizers on pineapple heart rot and bacterial community structure北大核心CSCD

Heart rot is a common soil-borne disease in the pineapple industry, but the situation can be alleviated by the application of bio-fertilizers with beneficial microbiomes. Clarifying the controlling mechanism of bio-organic fertilizer on the high incidence of heart rot is critical in monocultural pineapple cropping patterns. In our study, the soil of continuous cropping pineapple orchards was collected. Three types of carriers (rapeseed cake, peat soil, and coconut bran), biocontrol strains (Bacillus subtilis HL2 and Streptomyces strain HL3), and organic fertilizer (YJ) were composted into different bio-fertilizers (KC, KN, KY, LC, LN, and LY), which were used in pot experiments. The controlling effect of the bio-fertilizer was determined based on the response of pineapple heart rot and bacterial communities to different fertilizing methods. Our results revealed that the incidence of heart rot in bio-fertilizer KC was the lowest, which decreased by 20% and 13.3%, respectively, compared to HF (chemical fertilizer, 16-16-16) and YJ (organic fertilizer). The richness and diversity of soil bacterial communities in all biofertilized treatments (KC, KN, KY, LC, LN, and LY) were significantly higher than those in HF. However, the α-diversity indices of the bio-fertilizers (KC, KN, and KY) were higher than those of LC, LN, and LY, and the bacterial community composition was significantly different. The bacteria GP4, GP6, Bacillus, and Azohydromonas were enriched in KC, KN, and KY, while the relative abundance of Streptomyces increased significantly in LC, LN, and LY. Furthermore, Spearman correlation analysis showed that the relative abundance of these bacterial groups was significantly negatively correlated with the incidence of pineapple heart rot. In summary, the application of bio-organic fertilizers can decrease the incidence of pineapple heart rot by altering the soil bacterial community structure and stimulating beneficial soil microorganisms, which is important for reconstructing the ecological balance in continuous pineapple orchards. © 2022 Authors. All rights reserved.     

Identifying robust strategies for assisted migration in a competitive stochastic metacommunity

Assisted migration (AM) is the translocation of species beyond their historical range to locations that are expected to be more suitable under future climate change. However, a relocated population may fail to establish in its donor community if there is high uncertainty in decision-making, climate, and interactions with the recipient ecological community. To quantify the benefit to persistence and risk of establishment failure of AM under different management scenarios (e.g., choosing target species, proportion of population to relocate, and optimal location to relocate), we built a stochastic metacommunity model to simulate several species reproducing, dispersing, and competing on a temperature gradient as temperature increases over time. Without AM, the species were vulnerable to climate change when they had low population sizes, short dispersal, and strong poleward competition. When relocating species that exemplified these traits, AM increased the long-term persistence of the species most when relocating a fraction of the donor population, even if the remaining population was very small or rapidly declining. This suggests that leaving behind a fraction of the population could be a robust approach, allowing managers to repeat AM in case they move the species to the wrong place and at the wrong time, especially when it is difficult to identify a species’ optimal climate. We found that AM most benefitted species with low dispersal ability and least benefited species with narrow thermal tolerances, for which AM increased extinction risk on average. Although relocation did not affect the persistence of nontarget species in our simple competitive model, researchers will need to consider a more complete set of community interactions to comprehensively understand invasion potential.     

宁波东钱湖大型底栖动物群落动态及水质生物学评价

2009年4月—2010年1月,对东钱湖大型底栖动物群落结构及空间分布格局进行了季度调查,并对其环境状况进行生物学评价.共记录底栖动物3门4纲28属30种,其中寡毛类5种、水生昆虫18种、软体动物7种.底栖动物密度、生物量和群落周年次级生产量分别为1 233 m-2、8.0 g/m2(以湿质量计)和35.3 g/(m2.a)(P/B系数法估算),单因素方差分析显示,秋、冬季显著高于春、夏季.东钱湖底栖动物优势种为红裸须摇蚊、长跗摇蚊、菱跗摇蚊和霍甫水丝蚓,红裸须摇蚊为冬季单一优势种.依据底栖动物密度的多维序列分析,可将东钱湖分为4个湖区.基于GIS平台,运用克里格插值法,构建动物参数及BI(Hilsenhoff生物指数)的空间分布格局,显示东钱湖底栖动物群落具有较强的空间异质性:摇蚊幼虫多分布在谷子湖及中部湖区,而软体动物主要聚集在中部偏西南及北部湖区.BI评价结果表明,东钱湖的整体水质为中度污染(BI为7.58),其在时空上有较大差异.其中,2009年4、7、9月为轻度污染(BI为6.66～7.33),2009年11月—2010年1月为中度污染(BI为8.32～8.39);在空间尺度上,中部及北湖偏东部湖区污染较轻,其次为谷子湖及五里塘湖区,南湖偏南部湖区污染较重.      

Bacterial community structure analyses to assess pollution of water and sediments in the Lake Shkodra/Skadar, Balkan Peninsula

- Goal, Scope, Background. Lake Skadar is the largest lake in Balkan Peninsula, located on the Montenegro-Albanian border. The unique features of the lake and wide range of endemic and rare or endangered plant and animal species resulted in the classification of the Skadar as a wetland site of international significance. In spite of its importance the Lake is influenced by inflowing waters from river Morača and other regional rivers contaminated by the industry, municipal and agricultural activities in the area. Therefore, the Lake has been subject of various physical, chemical, biological and toxicological examinations. However, community-level analyses are most relevant to assess the effect of stressors on aquatic ecosystems. In the present study bacterial community structure among differently polluted sites of the lake was compared by genetic fingerprinting technique. Methods Water and sediment samples were collected from five differently polluted sampling sites on the Lake Skadar in spring and autumn of the same year. The bacterial community structure in the samples was characterized and compared by temporal temperature gel electrophoresis (TTGE) analysis of polymerase chain reaction-amplified bacterial 16S rRNA genes. Results and Discussion The TTGE analysis resulted in many distinguishable and reproducible band patterns, allowing reliable comparison of bacterial communities among sampling sites. Results on the bacterial community structure revealed that three of the selected locations can be considered as sites that have not shown any pollution degradation determined by our method, due to similar structure of bacterial community in the sediment samples. On the other hand, significant shifts in bacterial community structure in the mouth of the river Morača and Plavnica were shown. Since the results coincide with some of the bioassays and chemical analysis performed previously, the changes in bacterial community structure are explained as an effect of antropogenic pollution on the lake ecosystem by waters of river Morača and stream Plavnica. Conclusion The TTGE has proven to be an efficient and reliable method to monitor bacterial dynamics and community shifts in aquatic environment, especially in the sediments. Within the variety of environmental quality assessments the use of TTGE analyses of bacterial community is strongly recommended, particularly as an initial investigation. However, in any conclusion on the state of the environment, the TTGE results should be combined to some other biological, chemical and hydrological data. Recommendation and Outlook Since prokaryotes are a crucial group of organisms in the biosphere, the ecosystem function studies are largely based on bacterial communities. Therefore, bacterial community structure analysis should be a part of an integrated weight of evidence approach in pollution assessment. In case of Triad approach, consisting of chemical analyses, bioassays, and community studies in the field, the TTGE bacterial community structure analyses should be placed in the later Triad leg. In comparison to other community studies, based on various biotic indices, the TTGE bacterial community analysis has proven to be very sensitive, reliable and less time consuming.     

双氧水协同生化法处理实际印染废水

研究了双氧水协同水解酸化-接触氧化系统对实际印染废水的处理效果,并与完全生化处理系统进行对比。将100.0 mL经稀释的浓度为3 mL·L-1的双氧水溶液,用蠕动泵以1.67 mL·min-1的速度投加至正常运行的水解酸化体系底部,投加频率1 次·d-1。结果表明,水解酸化体系对COD的去除率为23%~46%,氨氮去除率在-93%~+8.5%之间波动,出水色度为125~150 倍;而接触氧化体系COD去除率提高至39%~59%,氨氮去除率接近100%,出水色度为100~125 倍。采用16S?rDNA?宏基因组高通量测序技术,对比分析了双氧水协同生化处理系统和完全生化处理系统内的微生物菌群结构差异,发现双氧水可洗脱水解酸化污泥中的部分厌氧菌,促进优势菌门Proteobacteria（变形菌）和Bacteroidetes（拟杆菌）的富集,有助于脱色,并有助于洗脱接触氧化体系中的部分非优势菌,刺激Nitrospirae（硝化螺旋菌）的生长,促进脱氮作用。     

南岳森林群落生物多样性研究(Ⅰ)广济寺森林群落学特征

根据我们对南岳广济寺森林群落的实地考察及其调查资料统计分析结果,发现该群落是一种尚未报道的新类型,即水丝梨+甜槠-尾叶山茶+花竹-蔓赤 车群丛(Association of Sycopsis sinensis+Castnopsis eyeri-Camellia caudata+Phyllostachys nidularia-Pellionia scabra)。该群落内有维管束植物69科116属149种;其属的区系是以热带性质成分为主,温带性质成分为辅,各占56.19％和43.81％;其种的区系成分以华夏、东亚、中国-日本和华东至华中等四种类型为主,同时本群落具有明显的华东至华中过渡交迭性质。在群落中木本植物和草本植物各占71.14％和28.86％,草本植物中的多年生和一年生类型各占22.82％和6.04％。本群落可以明显划分为乔、灌、草三个层次,每个层次又可以进一步划分为三个亚层。这一群落是中亚热带东部典型常绿阔叶林北部植被地理亚带中的常绿阔叶林,在演替过程中,群落仍将保持以水丝梨为优势种的常绿阔叶林,但其亚优势种——甜槠将可能会被多脉青冈、中华石楠、长叶石栎取代。     

关帝山八水沟天然植物群落时空梯度的数量分析

在ＤＣＡ排序的基础上，应用排序轴分类法对山西关帝山八水沟景观的天然植物群落进行了数量分类，共划分出７类，效果较好．多元线性回归结果表明ＤＣＡ排序轴与环境因子密切相关．方差分析与多重比较结果表明，结合ＤＣＡ第２与３排序轴的二维排序图反映了群落的时空变异，其中第２排序轴反映了群落在坡向与坡度方面的空间梯度，第３排序轴反映了群落的森林演替、灌丛发育以及各类群落的草本层发育的时间梯度     

同步化学除磷对A2/O工艺除污染效能与活性污泥性能的影响

考察了A2/O同步化学除磷工艺中Al2（SO4）3投加量对TP、COD、NH4+-N和TN的去除率与活性污泥性能的影响。结果表明,常温（18~32℃）条件下同步化学除磷最适宜的Al2（SO4）3投加量为铝、磷摩尔比0.5：1,此条件下出水TP、COD、NH4+-N和TN浓度均能达到《城镇污水处理厂污染物排放标准》（GB 18918-2002）一级A标准。研究同时发现,Al2（SO4）3投加后,活性污泥的沉降性能和污泥活性均有所增强,其中SVI值由93.8 mL·g-1降至81.3 mL·g-1,Zeta电位由-5.5 mV降至-11.8 mV,胞外聚合物EPS含量增加了59.9%,蛋白质与多糖的比例由5.2降至2.1,比耗氧速率由4.2 mg·（g·min）-1升高到6.7 mg·（g·min）-1（以MLSS计）。微生物菌群结构分析结果表明,投药后污泥中微生物种类由投药前的8种减少为6种,硝化菌和反硝化菌比例有所降低,聚磷菌比例升高为6%。在低温（0~10℃）条件下,Al2（SO4）3投加量需有所增加,当铝、磷摩尔比为1：1时,反应器出水TP、COD、TN和NH4+-N浓度方可达到一级A标准。     

昆明主城合流污水调蓄池截污效能模拟

为评估昆明市计划首批建设二环路内16座合流污水调蓄池(规模为21.3×104 m3)的环境效益,采用构建降雨径流管理模型(SWMM)模拟调蓄池的运行情况,对其截污效能进行分析. 结果表明,2008年的113场降雨中,调蓄池共截流污水量1 868.73×104 m3,COD_Cr、TN、TP污染负荷的截流量分别为5 195.28、810.76、68.78 t,污水截流量占合流污水溢流量的11.18%. 昆明主城调蓄池是在充分利用和衔接已建、在建的排水管网收集系统和污水处理设施的基础上设计的,调蓄池效能受既定配套条件、场地、降雨特征等的多重影响,建议加大调蓄池和污水处理厂的联动性,并采取集中调蓄截流为主、分散式面源治理为辅的策略,综合防治初期雨水径流污染和合流污水溢流污染.      

Evaluation of ecological restoration success in mining‐degraded lands

This review article analyzes the importance of assessing the success of ecological restoration by using four indicators: assemblage of the plant and animal communities; enzyme activity; litter accumulation and decomposition; and the improvement of soil quality. These indicators can be used alone or in combinations. Even though the Society for Ecological Restoration International provided a primer containing nine attributes to use as standards for measuring ecological restoration, only three of these attributes could be easily applied due to their low costs and low time requirements. These three attributes include: diversity, vegetation structure, and ecological processes. This review article emphasizes that the criteria for the selection of the indicator species should be based upon: habitat types, abundance of species, ease of measuring, quantifying and interpreting the results, gradual enhancement with time and cost‐effectiveness, sensitivity, variability of response, size, residential status, and requirements of the area. Principal component analysis was applied to calculate the reclaimed mine soil quality index (RMSQI) and the forest soil quality index (FSQI) and the RMSQI value was compared with FSQI (optimum index value of reference ecosystem) to evaluate the restoration success. Available phosphorus, exchangeable magnesium, organic carbon, clay content, field moisture, available nitrogen, electrical conductivity, and pH are identified as the most influential parameters that regulate the health of reclaimed mine soil. Exchangeable calcium, magnesium, cation exchange capacity, sand, silt, clay content, field moisture, available phosphorus, and pH are the controlling properties for forest soil. The observed values of the above‐stated soil indicator properties were converted into a unitless score (0–1.00) and integrated into index calculations (RMSQI and FSQI). The contribution of each soil indicator properties on the calculated index was analyzed, which provides insight into the reason for the measured index. A higher RMSQI indicates better ecological restoration success. The calculated RMSQI was found to be 0.473 in the reclaimed dump, which is 6% lower than the reference ecosystem.