Fertility signals in the bumblebee Bombus terrestris (Hymenoptera: Apidae)

In eusocial Hymenoptera, queen control over workers is probably inseparable from the mechanism of queen recognition. In primitively eusocial bumblebees (Bombus), worker reproduction is controlled not only by the presence or absence of a dominant queen but also by other dominant workers. Furthermore, it was shown that the queen dominance is maintained by pheromonal cues. We investigated whether there is a similar odor signal released by egg-laying queens and workers that may have a function as a fertility signal. We collected cuticular surface extracts from nest-searching and breeding Bombus terrestris queens and workers that were characterized by their ovarian stages. In chemical analyses, we identified 61 compounds consisting of aldehydes, alkanes, alkenes, and fatty acid esters. Nest-searching queens and all groups of breeding females differed significantly in their odor bouquets. Furthermore, workers before the competition point (time point of colony development where workers start to develop ovaries and lay eggs) differed largely from queens and all other groups of workers. Breeding queens showed a unique bouquet of chemical compounds and certain queen-specific compounds, and the differences toward workers decrease with an increasing development of the workers' ovaries, hinting the presence of a reliable fertility signal. Among the worker groups, the smallest differences were found after the competition point. Egg-laying females contained higher total amounts of chemical compounds and of relative proportions of wax-type esters and aldehydes than nest-searching queens and workers before the competition point. Therefore, these compounds may have a function as a fertility signal present in queens and workers.     

Reproductive disturbance of Japanese bumblebees by the introduced European bumblebee Bombus terrestris

The European bumblebee, Bombus terrestris, is an invasive eusocial species whose distribution is expanding greatly beyond its native range because numerous colonies are imported to or locally produced in non-native countries for pollination of agricultural crops. Closely related species exist in Japan where the unrestricted import and use of B. terrestris has resulted in the establishment of wild colonies. Laboratory studies previously showed that B. terrestris and Japanese native species can copulate and produce fertilized eggs. Although these eggs do not hatch, the interspecific mating can cause a serious reproductive disturbance to native bumblebees. In this study, we determined the frequencies of interspecies mating between B. terrestris males and native bumblebee queens in the wild on the islands of Hokkaido and Honshu by analyzing the DNA sequences of spermatozoa stored in spermathecae of native queens. We found that 20.2% of B. hypocrita hypocrita queens and 30.2% of B. hypocrita sapporoensis queens had spermatozoa of B. terrestris males in their spermathecae. Given that a Bombus queen generally mates only once in her life, such high frequencies of interspecific mating with B. terrestris pose serious threats to the populations of native bumblebees in Japan.     

How floral odours are learned inside the bumblebee (Bombus terrestris) nest

Recruitment in social insects often involves not only inducing nestmates to leave the nest, but also communicating crucial information about finding profitable food sources. Although bumblebees transmit chemosensory information (floral scent), the transmission mechanism is unknown as mouth-to-mouth fluid transfer (as in honeybees) does not occur. Because recruiting bumblebees release a pheromone in the nest that triggers foraging in previously inactive workers, we tested whether this pheromone helps workers learn currently rewarding floral odours, as found in food social learning in rats. We exposed colonies to artificial recruitment pheromone, paired with anise scent. The pheromone did not facilitate learning of floral scent. However, we found that releasing floral scent in the air of the colony was sufficient to trigger learning and that learning performance was improved when the chemosensory cue was provided in the nectar in honeypots; probably because it guarantees a tighter link between scent and reward, and possibly because gustatory cues are involved in addition to olfaction. Scent learning was maximal when anise-scented nectar was brought into the nest by demonstrator foragers, suggesting that previously unidentified cues provided by successful foragers play an important role in nestmates learning new floral odours.     

Interspecific mating of the introduced bumblebee <Emphasis Type="Italic">Bombus terrestris</Emphasis> and the native Japanese bumblebee <Emphasis Type="Italic">Bombus hypocrita sapporoensis</Emphasis> results in inviable hybrids

The bumblebee Bombus terrestris is not only an effective pollinator, but also a potential invasive alien species outside its native range. Recently, nearly 30% of queens of the Japanese native species Bombus hypocrita sapporoensis and B. hypocrita hypocrita were estimated to copulate with B. terrestris males in the field, suggesting that indigenous bumblebees could be genetically deteriorated through hybrid production with the introduced species. In this study, we evaluated hybrid production between the introduced B. terrestris and the indigenous B. hypocrita sapporoensis under laboratory conditions. The hatching rate of eggs derived from interspecific matings was 0% and 8.6% depending on the direction of the cross, which was significantly lower than that from intraspecific matings of B. terrestris (76.9%) and B. hypocrita sapporoensis (78.9%). Genetic studies using microsatellite markers revealed that both haploid and diploid individuals were present in the egg stage, whereas all hatched larvae were haploid. In addition, histological studies revealed that eggs derived from interspecific matings terminated development 2 days after oviposition. These results strongly suggested that eggs derived from interspecific matings are inviable due to post-mating isolation mechanisms. Mass release of exotic pollinators could cause serious population declines of native bumblebee species.     

Olfactory host finding, intermediate memory and its potential ecological adaptation in Nasonia vitripennis

Associative learning of host-associated chemical cues was studied in Nasonia vitripennis, a parasitoid of fly pupae in nests of hole-nesting birds. When females encountered a fly pupa and performed one sequence of host recognition behaviour including drilling the ovipositor into the host in the presence of the artificial odour furfurylheptanoate (FFH), they were afterwards arrested by FFH in olfactometer experiments. The response vanished after 4 days and could be blocked after 3 days by feeding wasps with ethacrynic acid prior and after the training. This indicates the formation of an intermediate form of memory by one host experience in N. vitripennis. Interestingly, the trained wasps avoided odours that were not present during the host encounter, although naive wasps did not react to these odours. This unique behaviour probably causes wasps to focus during host searching on those chemical cues they have experienced in the host environment. Studies in nests of hole-nesting birds revealed that about 30% of all nests contained only one fly pupa, and laboratory studies showed that N. vitripennis females are able to parasitise around 100 fly pupae in their life. It is discussed that under these conditions, the formation of a non-permanent intermediate memory for host-associated odours after one host encounter is adaptive to avoid costs involved with formation and maintenance of memory for misleading cues. The demonstration of associative olfactory learning in N. vitripennis, the first parasitoid species with sequenced genome, opens the gate to study molecular mechanisms of memory formation and its ecological adaptation in parasitoids.     

The proboscis extension reflex to evaluate learning and memory in honeybees (Apis mellifera): some caveats

The proboscis extension reflex (PER) is widely used in a classical conditioning (Pavlovian) context to evaluate learning and memory of a variety of insect species. The literature is particularly prodigious for honeybees (Apis mellifera) with more than a thousand publications. Imagination appears to be the only limit to the types of challenges to which researchers subject honeybees, including all the sensory modalities and a broad diversity of environmental treatments. Accordingly, some remarkable insights have been achieved using PER. However, there are several challenges to evaluating the PER literature that warrant a careful and thorough review. We assess here variation in methods that makes interpretation of studies, even those researching the same question, tenuous. We suggest that the numerous variables that might influence experimental outcomes from PER be thoroughly detailed by researchers. Moreover, the influence of individual variables on results needs to carefully evaluated, as well as among two or more variables. Our intent is to encourage investigation of the influence of numerous variables on PER results.     

饮用水中致嗅物质的去除技术和应急措施研究

为了解饮用水中异味的来源和常用去除技术,在文献调研的基础上,介绍了饮用水中致嗅物质的来源,分析了饮用水异味的常用去除技术:吸附法、化学氧化法和生物处理法,总结了三种方法的优缺点.最后,结合江苏省环境应急所开展的工作,阐述了饮用水源地异味事件的应急处置过程,为应对工作提供参考.多部门合作和专家参与是处置过程中不可缺少的环节.     

Transformative learning and adaptation to climate change in the Canadian Prairie agro-ecosystem

Agricultural production in the Canadian Prairies is expected to be negatively affected as climate change projections for the region indicate warmer temperatures, greater incidence and severity of extreme weather events, and reduced water availability and soil moisture. To understand climate change adaption, it is important to explore the learning process that underlies farmer’s adaptation practices in the region. Prairie farmers’ learning was analyzed using Transformative Learning Theory whereby learning is categorized into three types: instrumental, communicative, and transformative. All producers learned instrumentally to some degree, but farmers who placed less emphasis on maximizing economic returns generally showed secondary learning outcomes correlating economic and environmental benefits. Communicative learning was mainly limited to producer-producer dialogue to the exclusion of other organizational and institutional players in the agricultural system. Critical reflection was explored as an important precursor to transformative learning. Strong evidence of transformative learning was rare (observed in 11% of farmers), but indicators of transformative learning were diverse and was observed in 43% of farmers. Transformative learning is believed to be important for flexible decision-making and autonomous thinking, making it advantageous for responding to changing environmental conditions. The analysis shows that a large number of information sources, and communication of information in an experiential and observable way, is conducive to transformative learning. Adaptation to environmental uncertainty, resulting from changing climatic conditions, may be most effectively dealt with when individual farmers undergo transformative learning whereby underlying assumptions that govern actions, values, and claims to knowledge are questioned.     

Biogas in the United States: estimating future production and learning from international experiences

The substitution of biogas, an energy source derived from biological feedstock, for fossil natural gas (NG) can mitigate the build-up of greenhouse gases in the atmosphere, making it an attractive renewable energy source in a carbon-constrained future. Although upgraded, pipeline-quality biogas can augment the NG market supply in the United States of America (USA), researchers and energy industry experts have little studied its long-term potential. This report estimates (1) levelized costs of energy for biogas production facilities operating with landfill waste, animal manure, wastewater sludge, and biomass residue feedstocks, (2) feedstock and technology pathway-specific biogas supply functions, and (3) the aggregate national biogas supply potential for the USA by 2040. Under a range of specified assumptions, generation of biogas could be expanded to approximately 3–5 % of the total domestic NG market at projected prices of $5–6/MMBtu, with the largest potential source coming from thermal gasification of agriculture and forest residues and biomass. As market signals have not spurred widespread adoption of biogas in the USA, policy incentives, similar to those used in the European Union (E.U.), may be necessary to increase its production and use. Bioenergy policy in the E.U. and the resulting market penetration achieved there therefore provides important lessons for how biogas markets in the USA can overcome barriers to market expansion and, in doing so, provide substantial climate mitigation benefits.     

新疆萨吾尔山哈尔交一带相同环境下形成的两种不同类型花岗岩

出露于新疆西准噶尔北缘萨吾尔山北坡哈尔交一带的哈尔交岩体和阔依塔斯岩体同时形成于早二叠世的拉张环境，但地质、地球化学特征存在明显差异。前者Na2O K2O、Zr、Hf偏高，Rb、Sr、Nb、Th、Rb/Sr、Rb/Ba偏低，∑REE=99.66～249.47，平均为177.08，δEu=0.66～0.77,平均0.72。与区内华力西中期形成的“I”型花岗岩中的到性岩地球化学特征相近，为“I”型花岗岩；后者富硅、碱、高∑REE，低Ca、Mg、Al，δEu=0.15～0.23，与典型“A”型花岗岩地球化学一致。两种不同成因类型花岗岩是在碰撞造山之后的应力松弛阶段，随着扩张程度的不断增强，岩浆向着硅、碱和稀土元素含量增加的方向演化过程中不同阶段的产物。     

Envisioning the future and learning from the past: Adapting to a changing environment in northern Mali

In West Africa, rural livelihoods depending on natural resources develop coping and adapting strategies to face climate variability or change and economic or political changes. The former Lake Faguibine in northern Mali has experienced drastic ecological, social, and economic changes. Forests have emerged on the former lake and have become important for local livelihoods. This paper analyses the coping and adapting strategies of forest- and livestock-based livelihoods facing ecological changes. Results from field research at different levels indicate that most local strategies are based on diversification including migration within the livestock production system or in complement to it, with differences according to gender, age, and ethnicity. Political discourses, cultural identities, and past experiences influence and shape adaptation strategies at the local level. The sustainability of the observed strategies depends on the access to natural resources and the sustainable management of these resources, which in turn depends on institutions at local and national levels. Many local strategies are reactive to external events but would need strategic support from higher levels to move from coping to adapting. Examples are the development of institutions and technical actions for natural resource management, as well as development actions supporting local strategies and sustainable investments. Researchers, practitioners and development planners will need simple methods and tools for understanding and analysing local adaptation perceptions and actions to achieve an effective support of sustainable and gender-equitable local adaptation and to avoid mismatches between strategies proposed by local and by sub national and national actors.     

The evolution of climate policies - the role of learning and evaluations

All member states of the EU have had to develop climate strategies following the commitment to the UN Framework Convention on Climate Change and the Kyoto Protocol. The evolution of the strategies provides insights into the learning that takes place at the level of policy development and offers material for analysing how ex ante and ex post evaluations have contributed to this learning. In the analysis, Finland is used as a case demonstrating different levels and types of learning, from deeper reframing to political learning. The results show that the full potential of the evaluations has not been utilised, partly because they have been constrained by their mandate. Greater openness and transparency in the policy processes would create favourable conditions for independent evaluations that could provide additional input to the policy processes. This would support social and reflexive learning and allow for greater adaptability.     

Stimulating learning and innovation in networks for regional sustainable development: the role of local authorities

Inter-organizational collaboration in networks and partnerships is supposed to promote the potential for learning and innovation needed for environmental transformation and sustainable development. This paper aims at exploring the roles of local authorities (LAs) in actor-networks related to regional sustainable development, and examining their potential in stimulating learning and innovation related to sustainable development. From empirical case studies it is suggested that LAs can act as ‘teachers’ or ‘tutors’ in the networks. From further analysis, drawing also from literature on partnerships, innovation management, socio-technical change, and educational science, it is proposed that in the short run both the ‘teacher’ and ‘tutor’ approach would promote incremental innovation rather than the radical system innovations needed for sustainable development. However, there is potential for stimulating more long-term, radical change if the LA takes on the role of a ‘teacher’. This approach may favour close collaboration in long-lived, multi-actor networks with potential to (i) serve as forum for continuous dialogue on sustainable development at a community level, (ii) stimulate experimentation and learning needed for system innovations, and (iii) provide a basis for strategic niche management for development and testing of new technologies.     

Predicting the efficiency of arsenic immobilization in soils by biochar using machine learning

Arsenic(As)pollution in soils is a pervasive environmental issue.Biochar immobilization offers a promising solution for addressing soil As contamination.The efficiency of biochar in immobilizing As in soils primarily hinges on the characteristics of both the soil and the biochar.However,the influence of a specific property on As immobilization varies among different studies,and the development and application of arsenic passivation materials based on biochar often rely on empirical knowledge.To enhance immobilization efficiency and reduce labor and time costs,a machine learning(ML)model was employed to predict As immobilization efficiency before biochar application.In this study,we collected a dataset comprising 182 data points on As immobilization efficiency from 17 publications to con-struct three ML models.The results demonstrated that the random forest(RF)model out-performed gradient boost regression tree and support vector regression models in predictive performance.Relative importance analysis and partial dependence plots based on the RF model were conducted to identify the most crucial factors influencing As immobilization.These findings highlighted the significant roles of biochar application time and biochar pH in As immobilization efficiency in soils.Furthermore,the study revealed that Fe-modified biochar exhibited a substantial improvement in As immobilization.These insights can fa-cilitate targeted biochar property design and optimization of biochar application conditions to enhance As immobilization efficiency.