Ni/Ce-Y沸石的制备及其对二苯并噻吩吸附研究

研究了负载二元金属NiCe-Y沸石的制备以及吸附二苯并噻吩的动力学性能。试验考察了二元金属Ni、Ce离子交换顺序、负载溶液方面对吸附剂制备的影响,初步得到了制备负载二元金属NiCe-Y吸附剂的优化条件。对NiCe-Y吸附剂进行脱硫性能评价及动力学分析,结果表明,负载二元金属NiCe-Y吸附剂比负载单一金属的Ni-Y吸附量提高31%,比Ce-Y吸附剂提高16%。     

载铁ACF/Ni阴极电化学体系除藻效能与机制

采用化学浸渍法将Fe@Fe₂O₃纳米线负载在活性炭纤维/泡沫镍上组成Fe@Fe₂O₃/ACF/Ni复合阴极,以钛基铂（Pt/Ti）为阳极,考察载铁量、初始pH值和不同电化学体系对除藻效果的影响,探究无供氧条件下Pt/Ti-Fe@Fe₂O₃/ACF/Ni电化学体系除藻的效能;基于·OH间接检测、铁离子浓度、H₂O₂浓度及pH值的分析和·O₂^-的检测研究Pt/Ti-Fe@Fe₂O₃/ACF/Ni中性电化学体系反应机制.结果表明,当制备阴极阶段投加0.03g FeCl₃×6H₂O,初始藻浓度为0.7×10⁹~0.8×10⁹个/L,电流密度为75mA/cm²,初始pH6.2时,电解60min,该体系除藻率可达到92.3%.在Pt/Ti-Fe@Fe₂O₃/ACF/Ni电化学体系中,Fe@Fe₂O₃/ACF/Ni阴极可通过电化学反应产生大量·OH和·O₂^-,使藻细胞破裂死亡;该体系除藻的主要机理是非均相电Fenton反应.     

35Cr2Ni4MoA 材料防腐蚀性能验证研究

目的验证35Cr2Ni4MoA材料采取镀硬铬、封孔表面防护的耐腐蚀性能。方法开展35Cr2Ni4MoA材料表面镀硬铬有无封孔防护状态下的实验室加速腐蚀环境试验,研究材料表面腐蚀行为特点,加速腐蚀试验共8个周期。通过蚀坑深度、腐蚀面积、单位面积腐蚀数量等描述35Cr2Ni4MoA材料表面腐蚀情况。结果 35Cr2Ni4MoA材料表面镀硬铬和封孔防护后试验件腐蚀程度明显减低。结论镀硬铬、封孔表面防护能有效提高海洋环境下35Cr2Ni4MoA材料表面的耐蚀性能。     

不同施肥处理对棕壤N2O排放量的影响

采用田间试验研究不同施肥处理对棕壤N2O排放量的影响。结果表明,N2O释放量随着耕层土壤硝态氮含量增加而上升。不同施肥处理对N2O排放量影响不同,低氮处理(N1)排放量(整个玉米生育期按185d计算)为1.18kg·hm-2,高氮处理(N2)为2.39kg·hm-2。随着施氮量的增加,反硝化作用加强,N2O排放量上升,以N2O形式损失加剧。相同施氮水平条件下,随着有机肥施入量的增加土壤N2O排放量上升,其中以高氮高有机肥处理(M2N2)N2O排放量最高,达到了7.05kg·hm-2,占所投入氮肥的2.34%。相同氮素供应水平条件下增施磷、钾肥,也会增加N2O排放量。整个玉米生育时期通过N2O排放损失的肥料占投入氮肥比例为0.99%～2.46%。     

El Niño‐Southern Oscillation,rainfall variability and sustainable agricultural development in the Ho Municipality,Ghana

El Niño‐Southern Oscillation (ENSO), which occurs in the Equatorial Pacific Ocean, has been identified to have significant influence on rainfall variability throughout the world, especially in the tropics. Such variability in rainfall has implications for agrarian economies, such as that in Ghana. This study therefore sought to demonstrate the effect of ENSO‐induced variability in annual and seasonal rainfall on the development of sustainable agriculture in the Ho Municipality of Ghana. Using 61 years of monthly rainfall data (1955–2015) for the Ho Municipality and ENSO indices, this study showed that 15% of the variability in total annual rainfall is explained by the ENSO phenomena. Mean annual rainfall and rainfall in the major rainy season decreased for El Niño years, in addition to a more variable rainfall compared to that received in La Niña years. The major growing season was observed to be longer in La Niña years and shorter in El Niño years. This means that the potential for crop cultivation will be severely hampered in an El Niño year. Farmers within the municipality are therefore encouraged to harness other complementary water sources for farming activities and also employ water management strategies during El Niño years.     

A roadmap for knowledge exchange and mobilization research in conservation and natural resource management

Scholars across all disciplines have long been interested in how knowledge moves within and beyond their community of peers. Rapid environmental changes and calls for sustainable management practices mean the best knowledge possible is needed to inform decisions, policies, and practices to protect biodiversity and sustainably manage vulnerable natural resources. Although the conservation literature on knowledge exchange (KE) and knowledge mobilization (KM) has grown in recent years, much of it is based on context‐specific case studies. This presents a challenge for learning cumulative lessons from KE and KM research and thus effectively using knowledge in conservation and natural resources management. Although continued research on the gap between knowledge and action is valuable, overarching conceptual frameworks are now needed to enable summaries and comparisons across diverse KE‐KM research. We propose a knowledge‐action framework that provides a conceptual roadmap for future research and practice in KE/KM with the aim of synthesizing lessons learned from contextual case studies and guiding the development and testing of hypotheses in this domain. Our knowledge‐action framework has 3 elements that occur at multiple levels and scales: knowledge production (e.g., academia and government), knowledge mediation (e.g., knowledge networks, actors, relational dimension, and contextual dimension), and knowledge‐based action (e.g., instrumental, symbolic, and conceptual). The framework integrates concepts from the sociology of science in particular, and serves as a guide to further comprehensive understanding of knowledge exchange and mobilization in conservation and sustainable natural resource management.     

Consequences of ignoring dispersal variation in network models for landscape connectivity

Habitat loss and fragmentation can negatively influence population persistence and biodiversity, but the effects can be mitigated if species successfully disperse between isolated habitat patches. Network models are the primary tool for quantifying landscape connectivity, yet in practice, an overly simplistic view of species dispersal is applied. These models often ignore individual variation in dispersal ability under the assumption that all individuals move the same fixed distance with equal probability. We developed a modeling approach to address this problem. We incorporated dispersal kernels into network models to determine how individual variation in dispersal alters understanding of landscape-level connectivity and implemented our approach on a fragmented grassland landscape in Minnesota. Ignoring dispersal variation consistently overestimated a population's robustness to local extinctions and underestimated its robustness to local habitat loss. Furthermore, a simplified view of dispersal underestimated the amount of habitat substructure for small populations but overestimated habitat substructure for large populations. Our results demonstrate that considering biologically realistic dispersal alters understanding of landscape connectivity in ecological theory and conservation practice.     

Responses of Seed‐Dispersing Birds to Amount of Rainforest in the Landscape around Fragments

Habitat loss and fragmentation alter the composition of bird assemblages in rainforest. Because birds are major seed dispersers in rainforests, fragmentation‐induced changes to frugivorous bird assemblages are also likely to alter the ecological processes of seed dispersal and forest regeneration, but the specific nature of these changes is poorly understood. We assessed the influence of fragment size and landscape forest cover on the abundance, species composition, and functional properties of the avian seed disperser community in an extensively cleared, former rainforest landscape of subtropical Australia. Bird surveys of fixed time and area in 25 rainforest fragments (1–139 ha in size across a 1800 km² region) provided bird assemblage data which were coupled with prior knowledge of bird species’ particular roles in seed dispersal to give measurements of seven different attributes of the seed disperser assemblage. We used multimodel regression to assess how patch size and surrounding forest cover (within 200 m, 1000 m, and 5000 m radii) influenced variation in the abundance of individual bird species and of functional groups based on bird species’ responses to fragmentation and their roles in seed dispersal. Surrounding forest cover, specifically rainforest cover, generally had a greater effect on frugivorous bird assemblages than fragment size. Amount of rainforest cover within 200 m of fragments was the main factor positively associated with abundances of frugivorous birds that are both fragmentation sensitive and important seed dispersers. Our results suggest a high proportion of local rainforest cover is required for the persistence of seed‐dispersing birds and the maintenance of seed dispersal processes. Thus, even small rainforest fragments can function as important parts of habitat networks for seed‐dispersing birds, whether or not they are physically connected by vegetation. Respuestas de Aves Dispersoras de Semillas al Incremento de Selvas en el Paisaje Alrededor de Fragmentos     

A spatially explicit estimate of the prewhaling abundance of the endangered North Atlantic right whale

The North Atlantic right whale (NARW) (Eubalaena glacialis) is one of the world's most threatened whales. It came close to extinction after nearly a millennium of exploitation and currently persists as a population of only approximately 500 individuals. Setting appropriate conservation targets for this species requires an understanding of its historical population size, as a baseline for measuring levels of depletion and progress toward recovery. This is made difficult by the scarcity of records over this species’ long whaling history. We sought to estimate the preexploitation population size of the North Atlantic right whale and understand how this species was distributed across its range. We used a spatially explicit data set on historical catches of North Pacific right whales (NPRWs) (Eubalaena japonica) to model the relationship between right whale relative density and the environment during the summer feeding season. Assuming the 2 right whale species select similar environments, we projected this model to the North Atlantic to predict how the relative abundance of NARWs varied across their range. We calibrated these relative abundances with estimates of the NPRW total prewhaling population size to obtain high and low estimates for the overall NARW population size prior to exploitation. The model predicted 9,075–21,328 right whales in the North Atlantic. The current NARW population is thus <6% of the historical North Atlantic carrying capacity and has enormous potential for recovery. According to the model, in June–September NARWs concentrated in 2 main feeding areas: east of the Grand Banks of Newfoundland and in the Norwegian Sea. These 2 areas may become important in the future as feeding grounds and may already be used more regularly by this endangered species than is thought.