滆湖水华初期浮游植物群落特征及与水环境因子相关性分析

为探究滆湖水华初期浮游植物群落特征及与水环境因子的相关性,于2018年5—7月在全湖布设22个点,调查研究滆湖水华初期浮游植物群落时空分布特征,并对引起水华主导环境因子进行分析.结果表明：①共获得7门119属,优势属为绿藻门的小球藻与球团藻、蓝藻门的鞘丝藻与微囊藻,其中湖心区域浮游植物丰度与多样性小,均匀性低,属于中偏重污染区域;湖北区以北属于中污染区域,蓝藻堆积严重;西部沿岸及南端区域属于中偏轻污染区域.②冗余分析得出,湖心藻类与水温（T）有强相关性,与叶绿素a（Chl-a）、溶解性总磷（DTP）、pH、溶解氧（DO）呈一定正相关性;湖北区以北藻类与底泥有机质（OM）、水体悬浮物（SS）、Chl-a及DTP呈强相关性,与T呈一定相关性.T与多项环境因子相关,均值从26.1℃上升到32.4℃;OM与有机磷（OP）呈高度相关性（p<0.05,r=0.892）.水华发生的主导环境因子为T、DTP与pH,底泥OM及OP有一定影响.     

人工湿地沟壕系统中硝酸盐异化还原成铵细菌群落特征研究

硝酸盐异化还原成铵（Dissimilatory nitrate reduction to ammonium，DNRA）过程，是将易损失的NO₃^--N转化为NH₄⁺-N，而被植物或微生物重新吸收利用，从而有助于湿地沉积物的氮保留.本研究选取石臼漾人工湿地冬、夏两季沟壕中心、边缘表层沉积物，采用高通量测序等分析方法，研究了DNRA细菌群落结构特征.研究结果表明：在空间尺度上，沟壕中心DNRA细菌丰度高于沟壕边缘，分别为（2.26±1.19）×10⁹和（1.22±1.46）×10⁹ copies·g^-1.在时间尺度上，冬夏两季样品中DNRA细菌丰度具有显著性差异（p<0.05）.多样性分析表明，沟壕中心沉积物的DNRA群落丰富度高于沟壕边缘.所有样品中占比最高的DNRA属为Caldilinea（69.75%±3.64%）、Anaeromyxobacter（66.41%±1.19%）.Caldilinea属在夏季样品的占比（39.78%±5.15%）高于冬季样品（29.98%±0.57%），而Anaeromyxobacter属在沟壕中心的占比（35.14%±0.83%）高于沟壕边缘（31.28%±0.76%），且小沟（34.33%±1.40%）高于大沟（32.08%±1.33%）.主坐标分析（PcoA）结果表明，DNRA细菌群落结构具有明显的时间异质性.DNRA细菌丰度与有机质（TOM）、碳氮比（C/N）和含水率（MC）显著相关.本研究揭示了人工湿地沉积物中DNRA细菌的丰度、群落组成、多样性及其与环境因子的关系.     

施用缓/控释氮肥对玉米苗期土壤生物学活性的影响

采用盆栽试验并模拟田间生态环境,研究了施用不同种类缓/控释氮肥对玉米苗期土壤脲酶活性、硝酸还原酶活性、微生物生物量碳和氮含量的影响。结果表明,在玉米苗期,施用脲酶抑制剂nBPT涂层尿素及醋酸酯淀粉包膜脲酶抑制剂nBPT涂层尿素对土壤脲酶活性有显著抑制作用,脲酶活性分别为49.25和48.13μg.g-1.d-1(以NH3-N计);施用不同种类缓/控释氮肥时土壤硝酸还原酶活性普遍增强,其活性在0.76~1.03μg.g-1.d-1(以N计)之间,但相互间无显著差异,脲酶抑制剂nBPT对土壤硝酸还原酶活性无显著作用;施用不同种类缓/控释氮肥时土壤微生物生物量碳、氮含量变化趋势一致,施用脲酶抑制剂nBPT涂层尿素时微生物量最多,微生物量碳、氮含量分别为248.19和56.53 mg.kg-1,施用丙烯酸树脂包膜脲酶抑制剂nBPT涂层尿素时微生物量最少,微生物碳、氮含量分别为104.80和23.94 mg.kg-1。施用不同种类缓/控释氮肥时土壤生物学活性的变化特点表明,丙烯酸树脂包膜与脲酶抑制剂nBPT涂层相结合的缓/控释肥料控释效果最好。     

卡鲁塞尔氧化沟水力学特性的大涡模拟

本文基于大涡模拟中的Smagorinsky-Lilly模型,对Carrousel氧化沟模型进行了水力学特性模拟,并研究了沟内流速和涡量分布规律.速度与压力耦合求解使用了压力隐式算子分裂PISO(Pressure-Implicit with Splitting of Operators)算法,采用VOF(Volume of fluid)方法追踪自由液面.模拟结果表明,回流现象主要出现在上中层混合液中,逆流现象主要出现于上层混合液中;转轮与转刷的推流作用是造成水面变化剧烈的原因;距转轮与转刷较近的区域、转速较快的转轮与转刷区域及直道段转刷下游水面较高一侧中上层区域的涡量较大.根据实验验证,本次模拟结果和实验值吻合度较好,Smagorinsky-Lilly模型可以准确模拟氧化沟水力学特性.     

炉渣与生物炭施加对稻田温室气体排放及其相关微生物影响

为了减少稻田温室气体排放通量,本研究对稻田土壤进行炉渣和生物炭单一施加和混合施加处理,并测定了早、晚稻拔节期和乳熟期CO_2、CH_4和N_2O排放通量及相关微生物(细菌、真菌、硝化细菌、反硝化细菌)的数量.结果表明,稻田施加废弃物可以减少温室气体的排放通量.在早、晚稻的拔节期,施加生物炭显著降低了CO_2和N_2O的排放通量(p0.05),混合施加显著降低了CO_2和CH_4的排放通量(p0.05),施加炉渣条件下3种温室气体的排放通量与对照组相比没有差异.施加炉渣或生物炭都显著降低硝化细菌的数量(p0.05),混施处理显著降低细菌、硝化细菌、反硝化细菌数量(p0.05),但显著提高了稻田土壤真菌/细菌比值(p0.05).在早、晚稻的乳熟期,炉渣、生物炭、混施处理能显著降低CH_4排放通量(p0.05),而生物炭处理显著降低N_2O排放通量(p0.05).炉渣处理显著降低细菌、硝化细菌、反硝化细菌数量(p0.05),生物炭处理显著降低细菌、反硝化细菌数量(p0.05),混施处理显著降低细菌、硝化细菌数量,并显著提高真菌/细菌比值(p0.05).温室气体排放与微生物数量之间的相关性分析结果表明,CO_2、CH_4排放通量与细菌数量呈显著正相关,与真菌/细菌比值呈显著负相关;而N_2O排放通量则与硝化细菌、反硝化细菌数量呈显著正相关.     

印染废水处理提标小试研究

利用"水解酸化+强化好氧+深度处理"的工艺技术方案开展印染废水小试研究。在工艺前端采用混流式和升流式两级水解酸化池,后续在曝气池投加活性焦载体,提高污泥浓度,强化好氧池处理能力,最后对生化出水加药混凝,并用生物活性焦滤池进行深度处理。结果表明,该处理工艺适宜处理印染废水,处理效果达到处理提标要求。     

两相厌氧消化工艺的研究进展及其应用

两相厌氧消化工艺因产酸相和产甲烷相的分离而具有一系列的特点和优势。针对该工艺的理论依据和运行机理进行了阐述，讨论了两相厌氧消化工艺的相分离以及相分离的实现对整个工艺的影响，着重剖析了两相厌氧消化工艺的影响因素，并对该工艺的应用范围及存在的问题进行了论述，说明了工艺的先进性和可行性。     

Empirical Trials of Plant Field Guides

We designed 3 image‐based field guides to tropical forest plant species in Ghana, Grenada, and Cameroon and tested them with 1095 local residents and 20 botanists in the United Kingdom. We compared users’ identification accuracy with different image formats, including drawings, specimen photos, living plant photos, and paintings. We compared users’ accuracy with the guides to their accuracy with only their prior knowledge of the flora. We asked respondents to score each format for usability, beauty, and how much they would pay for it. Prior knowledge of plant names was generally low (<22%). With a few exceptions, identification accuracy did not differ significantly among image formats. In Cameroon, users identifying sterile Cola species achieved 46–56% accuracy across formats; identification was most accurate with living plant photos. Botanists in the United Kingdom accurately identified 82–93% of the same Cameroonian species; identification was most accurate with specimens. In Grenada, users accurately identified 74–82% of plants; drawings yielded significantly less accurate identifications than paintings and photos of living plants. In Ghana, users accurately identified 85% of plants. Digital color photos of living plants ranked high for beauty, usability, and what users would pay. Black and white drawings ranked low. Our results show the potential and limitations of the use of field guides and nonspecialists to identify plants, for example, in conservation applications. We recommend authors of plant field guides use the cheapest or easiest illustration format because image type had limited bearing on accuracy; match the type of illustration to the most likely use of the guide for slight improvements in accuracy; avoid black and white formats unless the audience is experienced at interpreting illustrations or keeping costs low is imperative; discourage false‐positive identifications, which were common; and encourage users to ask an expert or use a herbarium for groups that are difficult to identify. Pruebas Empíricas de Guías de Campo de Plantas Hawthorne, Cable & Marshall     

Arts as a vehicle for community building and post‐disaster development

Use of the arts in international aid is common in an ad hoc form, but it has not been systematically theorised or evaluated. The arts have the potential to be a culturally contextualised and sustainable intervention for adults and children in the aftermath of war or disaster. On the micro level, the arts are a method to enable the retrieval and reprocessing of traumatic memories that are often encoded in images rather than in words. On a macro level, they can help to reconstruct a group narrative of a disaster as well as mobilise people back into control of their lives. This paper researches a long‐term project using arts in Sri Lanka following the civil war and tsunami. A central finding is the need to understand arts within their cultural context, and their usefulness in strengthening the voices and problem‐solving capacities of the victims of the disaster.     

Developing Metapopulation Connectivity Criteria from Genetic and Habitat Data to Recover the Endangered Mexican Wolf

Restoring connectivity between fragmented populations is an important tool for alleviating genetic threats to endangered species. Yet recovery plans typically lack quantitative criteria for ensuring such population connectivity. We demonstrate how models that integrate habitat, genetic, and demographic data can be used to develop connectivity criteria for the endangered Mexican wolf (Canis lupus baileyi), which is currently being restored to the wild from a captive population descended from 7 founders. We used population viability analysis that incorporated pedigree data to evaluate the relation between connectivity and persistence for a restored Mexican wolf metapopulation of 3 populations of equal size. Decreasing dispersal rates greatly increased extinction risk for small populations (<150–200), especially as dispersal rates dropped below 0.5 genetically effective migrants per generation. We compared observed migration rates in the Northern Rocky Mountains (NRM) wolf metapopulation to 2 habitat‐based effective distance metrics, least‐cost and resistance distance. We then used effective distance between potential primary core populations in a restored Mexican wolf metapopulation to evaluate potential dispersal rates. Although potential connectivity was lower in the Mexican wolf versus the NRM wolf metapopulation, a connectivity rate of >0.5 genetically effective migrants per generation may be achievable via natural dispersal under current landscape conditions. When sufficient data are available, these methods allow planners to move beyond general aspirational connectivity goals or rules of thumb to develop objective and measurable connectivity criteria that more effectively support species recovery. The shift from simple connectivity rules of thumb to species‐specific analyses parallels the previous shift from general minimum‐viable‐population thresholds to detailed viability modeling in endangered species recovery planning. Desarrollo de Criterios de Conectividad Metapoblacional a Partir de Datos Genéticos y de Hábitat para Recuperar al Lobo Mexicano en Peligro de Extinción