Do functional traits improve prediction of predation rates for a disparate group of aphid predators?

Aphid predators are a systematically disparate group of arthropods united on the basis that they consume aphids as part of their diet. In Europe, this group includes Araneae, Opiliones, Heteroptera, chrysopids, Forficulina, syrphid larvae, carabids, staphylinids, cantharids and coccinellids. This functional group has no phylogenetic meaning but was created by ecologists as a way of understanding predation, particularly for conservation biological control. We investigated whether trait-based approaches could bring some cohesion and structure to this predator group. A taxonomic hierarchy-based null model was created from taxonomic distances in which a simple multiplicative relationship described the Linnaean hierarchies (species, genera, etc.) of fifty common aphid predators. Using the same fifty species, a functional groups model was developed using ten behavioural traits (e.g. polyphagy, dispersal, activity, etc.) to describe the way in which aphids were predated in the field. The interrelationships between species were then expressed as dissimilarities within each model and separately analysed using PROXSCAL, a multidimensional scaling (MDS) program. When ordinated using PROXSCAL and then statistically compared using Procrustes analysis, we found that only 17% of information was shared between the two configurations. Polyphagy across kingdoms (i.e. predatory behaviour across animal, plant and fungi kingdoms) and the ability to withstand starvation over days, weeks and months were particularly divisive within the functional groups model. Confirmatory MDS indicated poor prediction of aphid predation rates by the configurations derived from either model. The counterintuitive conclusion was that the inclusion of functional traits, pertinent to the way in which predators fed on aphids, did not lead to a large improvement in the prediction of predation rate when compared to the standard taxonomic approach

Effect of compression tights on thermoregulation and performance during high intensity intermittent running

The use of compression garments has become common place in many team sports, irrespective of environmental conditions, both in training and matches. Many competitions take place in hot environmental conditions which can impair both intermittent running (Morris et al., 2005, International Journal of Sports Medicine, 26, 805-814) and skill performance (Sunderland & Nevill, 2005, Journal of Sports Sciences, 23, 531-540).Therefore the aim of the research was to ascertain whether wearing compression leggings influenced thermoregulation and performance during simulated team games activity

Effect of ambient temperature during acute aerobic exercise on short-term appetite, energy intake, and plasma acylated ghrelin in recreationally active males

Ambient temperature during exercise may affect energy intake regulation. Compared with a temperate (20 °C) environment, 1 h of running followed by 6 h of rest tended to decrease energy intake from 2 ad libitum meals in a hot (30 °C) environment but increase energy intake in a cool (10 °C) environment (p = 0.08). Core temperature changes did not appear to mediate this trend; whether acylated ghrelin is involved is unclear. Further research is warranted to clarify these findings

This issue is dedicated to the memory of the late Professor GROVER CLEVELAND GRISMORE

A tribute to Grover Cleveland Grismor

Predicting wins, losses and attributes' sensitivities in the soccer World Cup 2018 using neural network analysis

Predicting the results of soccer competitions and the contributions of match attributes, in particular, has gained popularity in recent years. Big data processing obtained from different sensors, cameras and analysis systems needs modern tools that can provide a deep understanding of the relationship between this huge amount of data produced by sensors and cameras, both linear and non-linear data. Using data mining tools does not appear sufficient to provide a deep understanding of the relationship between the match attributes and results and how to predict or optimize the results based upon performance variables. This study aimed to suggest a different approach to predict wins, losses and attributes' sensitivities which enables the prediction of match results based on the most sensitive attributes that affect it as a second step. A radial basis function neural network model has successfully weighted the effectiveness of all match attributes and classified the team results into the target groups as a win or loss. The neural network model's output demonstrated a correct percentage of win and loss of 83.3% and 72.7% respectively, with a low Root Mean Square training error of 2.9% and testing error of 0.37%. Out of 75 match attributes, 19 were identified as powerful predictors of success. The most powerful respectively were: the Total Team Medium Pass Attempted (MBA) 100%; the Distance Covered Team Average in zone 3 (15-20 km/h; Zone3_TA) 99%; the Team Average ball delivery into the attacking third of the field (TA_DAT) 80.9%; the Total Team Covered Distance without Ball Possession (Not in_Poss_TT) 76.8%; and the Average Distance Covered by Team (Game TA) 75.1%. Therefore, the novel radial based function neural network model can be employed by sports scientists to adapt training, tactics and opposition analysis to improve performance

Depleting Tropical Forest at a Landscape Scale: Finding Solutions for Bangladesh

Drastic deforestation is a major problem of Bangladesh which is contributing to negative downstream impacts on the environment. To address this problem various measures should be taken at different scales. The main objective of this paper is to suggest the possible steps that Bangladesh could take and reverse the trend of deforestation. An extensive literature review and interviews with government officials, professionals and NGO workers have been used to collect relevant information on the agents of deforestation in the country. Based on the information gathered, this paper presents the reasons for the extent of deforestation, and suggests some positive steps where the Government could be the main mitigating actor by implementing integrated programmes, which will also ensure mass awareness and wider impact. Local NGOs and international bodies must also formulate adequate plans to protect valuable areas of remaining forest

Extent and Consequences of Tropical Forest Degradation: Successive Policy Options for Bangladesh

This paper is conceived at a time when new paradigms are sought for the development of a framework to deal with the problem of forest resources degradation. Deforestation in Bangladesh, has reached an alarming rate in recent years. The forest coverage of Bangladesh is one of the lowest and the deforestation rate is the highest of any country in the world. Coupled with the process of deforestation, flawed afforestration programmes have seriously exposed Bangladesh to environmental vulnerability. Considering this situation various strategies should be taken at different levels. The main objective of this paper is to suggest the possible steps that Bangladesh could halt and reverse the trend of deforestation. An extensive literature review and structured interviews of key informants have been used to collect relevant information to understand the reasons and consequences of forest degradation in the country. Based on the information gathered, this paper suggests some positive steps where the Government could be the main mitigating actor by implementing integrated programmes, which will also ensure mass awareness and wider impact

Service learning with First Peoples: a framework to support respectful and reciprocal learning

This article outlines a framework for working with First Peoples. The framework supports respectful and mutually beneficial learning partnerships and culminates from 6 years of practice and research in arts-based service learning with Aboriginal communities in Australia. We begin by looking at synergies between global service learning and service learning with First Peoples. We then position this work within an international context, focusing on Indigenous frameworks for practice identified in service learning with First Nations communities in North America. We next describe the Australian context and touch on the multilayered intercultural processes and outcomes associated with the programmes across three universities. Finally, we introduce the framework and elaborate on its dimensions