Linking pesticide exposure and spatial dynamics: An individual-based model of wood mouse (Apodemus sylvaticus) populations in agricultural landscapes

The wood mouse is a common and abundant species in agricultural landscape and is a focal species in pesticide risk assessment. Empirical studies on the ecology of the wood mouse have provided sufficient information for the species to be modelled mechanistically. An individual-based model was constructed to explicitly represent the locations and movement patterns of individual mice. This together with the schedule of pesticide application allows prediction of the risk to the population from pesticide exposure. The model included life-history traits of wood mice as well as typical landscape dynamics in agricultural farmland in the UK. The model obtains a good fit to the available population data and is fit for risk assessment purposes. It can help identify spatio-temporal situations with the largest potential risk of exposure and enables extrapolation from individual-level endpoints to population-level effects. Largest risk of exposure to pesticides was found when good crop growth in the “sink” fields coincided with high “source” population densities in the hedgerows. Keywords: Population dynamics, Pesticides, Ecological risk assessment, Habitat choice, Agent-based model, NetLogo

A novel approach to national technological accumulation and absorptive capacity: aggregating Cohen and Levinthal

The paper develops a more precise specification and understanding of the process of national-level knowledge accumulation and absorptive capabilities by applying the reasoning and evidence from the firm-level analysis pioneered by Cohen and Levinthal (1989, 1990). In doing so, we acknowledge that significant cross-border effects due to the role of both inward and outward FDI exist and that assimilation of foreign knowledge is not only confined to catching-up economies but is also carried out by countries at the frontier-sharing phase. We postulate a non-linear relationship between national absorptive capacity and the technological gap, due to the effects of the cumulative nature of the learning process and the increase in complexity of external knowledge as the country approaches the technological frontier. We argue that national absorptive capacity and the accumulation of knowledge stock are simultaneously determined. This implies that different phases of technological development require different strategies. During the catching-up phase, knowledge accumulation occurs predominately through the absorption of trade and/or inward FDI-related R&D spillovers. At the pre-frontier-sharing phase onwards, increases in the knowledge base occur largely through independent knowledge creation and actively accessing foreign-located technological spillovers, inter alia through outward FDI-related R&D, joint ventures and strategic alliances.

Beta event-related desynchronization as an index of individual differences in processing human facial expression: further investigations of autistic traits in typically developing adults

The human mirror neuron system (hMNS) has been associated with various forms of social cognition and affective processing including vicarious experience. It has also been proposed that a faulty hMNS may underlie some of the deficits seen in the autism spectrum disorders (ASDs). In the present study we set out to investigate whether emotional facial expressions could modulate a putative EEG index of hMNS activation (mu suppression) and if so, would this differ according to the individual level of autistic traits [high versus low Autism Spectrum Quotient (AQ) score]. Participants were presented with 3 s films of actors opening and closing their hands (classic hMNS mu-suppression protocol) while simultaneously wearing happy, angry, or neutral expressions. Mu-suppression was measured in the alpha and low beta bands. The low AQ group displayed greater low beta event-related desynchronization (ERD) to both angry and neutral expressions. The high AQ group displayed greater low beta ERD to angry than to happy expressions. There was also significantly more low beta ERD to happy faces for the low than for the high AQ group. In conclusion, an interesting interaction between AQ group and emotional expression revealed that hMNS activation can be modulated by emotional facial expressions and that this is differentiated according to individual differences in the level of autistic traits. The EEG index of hMNS activation (mu suppression) seems to be a sensitive measure of the variability in facial processing in typically developing individuals with high and low self-reported traits of autism.

Using an individual-based model to select among alternative foraging strategies of woodpigeons: data support a memory-based model with a flocking mechanism

Population modelling is increasingly recognised as a useful tool for pesticide risk assessment. For vertebrates that may ingest pesticides with their food, such as woodpigeon (Columba palumbus), population models that simulate foraging behaviour explicitly can help predicting both exposure and population-level impact. Optimal foraging theory is often assumed to explain the individual-level decisions driving distributions of individuals in the field, but it may not adequately predict spatial and temporal characteristics of woodpigeon foraging because of the woodpigeons’ excellent memory, ability to fly long distances, and distinctive flocking behaviour. Here we present an individual-based model (IBM) of the woodpigeon. We used the model to predict distributions of foraging woodpigeons that use one of six alternative foraging strategies: optimal foraging, memory-based foraging and random foraging, each with or without flocking mechanisms. We used pattern-oriented modelling to determine which of the foraging strategies is best able to reproduce observed data patterns. Data used for model evaluation were gathered during a long-term woodpigeon study conducted between 1961 and 2004 and a radiotracking study conducted in 2003 and 2004, both in the UK, and are summarised here as three complex patterns: the distributions of foraging birds between vegetation types during the year, the number of fields visited daily by individuals, and the proportion of fields revisited by them on subsequent days. The model with a memory-based foraging strategy and a flocking mechanism was the only one to reproduce these three data patterns, and the optimal foraging model produced poor matches to all of them. The random foraging strategy reproduced two of the three patterns but was not able to guarantee population persistence. We conclude that with the memory-based foraging strategy including a flocking mechanism our model is realistic enough to estimate the potential exposure of woodpigeons to pesticides. We discuss how exposure can be linked to our model, and how the model could be used for risk assessment of pesticides, for example predicting exposure and effects in heterogeneous landscapes planted seasonally with a variety of crops, while accounting for differences in land use between landscapes.

An energy budget agent-based model of earthworm populations and its application to study the effects of pesticides

Earthworms are important organisms in soil communities and so are used as model organisms in environmental risk assessments of chemicals. However current risk assessments of soil invertebrates are based on short-term laboratory studies, of limited ecological relevance, supplemented if necessary by site-specific field trials, which sometimes are challenging to apply across the whole agricultural landscape. Here, we investigate whether population responses to environmental stressors and pesticide exposure can be accurately predicted by combining energy budget and agent-based models (ABMs), based on knowledge of how individuals respond to their local circumstances. A simple energy budget model was implemented within each earthworm Eisenia fetida in the ABM, based on a priori parameter estimates. From broadly accepted physiological principles, simple algorithms specify how energy acquisition and expenditure drive life cycle processes. Each individual allocates energy between maintenance, growth and/or reproduction under varying conditions of food density, soil temperature and soil moisture. When simulating published experiments, good model fits were obtained to experimental data on individual growth, reproduction and starvation. Using the energy budget model as a platform we developed methods to identify which of the physiological parameters in the energy budget model (rates of ingestion, maintenance, growth or reproduction) are primarily affected by pesticide applications, producing four hypotheses about how toxicity acts. We tested these hypotheses by comparing model outputs with published toxicity data on the effects of copper oxychloride and chlorpyrifos on E. fetida. Both growth and reproduction were directly affected in experiments in which sufficient food was provided, whilst maintenance was targeted under food limitation. Although we only incorporate toxic effects at the individual level we show how ABMs can readily extrapolate to larger scales by providing good model fits to field population data. The ability of the presented model to fit the available field and laboratory data for E. fetida demonstrates the promise of the agent-based approach in ecology, by showing how biological knowledge can be used to make ecological inferences. Further work is required to extend the approach to populations of more ecologically relevant species studied at the field scale. Such a model could help extrapolate from laboratory to field conditions and from one set of field conditions to another or from species to species.

The climate change–infectious disease nexus: is it time for climate change syndemics?

Conceptualizing climate as a distinct variable limits our understanding of the synergies and interactions between climate change and the range of abiotic and biotic factors, which influence animal health. Frameworks such as eco-epidemiology and the epi-systems approach, while more holistic, view climate and climate change as one of many discreet drivers of disease. Here, I argue for a new paradigmatic framework: climate-change syndemics. Climate-change syndemics begins from the assumption that climate change is one of many potential influences on infectious disease processes, but crucially is unlikely to act independently or in isolation; and as such, it is the inter-relationship between factors that take primacy in explorations of infectious disease and climate change. Equally importantly, as climate change will impact a wide range of diseases, the frame of analysis is at the collective rather than individual level (for both human and animal infectious disease) across populations.

Allocating community-level payments for ecosystem services initial experiences from a REDD pilot in Tanzania

Payments for ecosystem services (PES) typically reward landowners for managing their land to provide ecosystem services that would not otherwise be provided. REDD—Reduced Emissions from Deforestation and Forest Degradation—is a form of PES aimed at decreasing carbon emissions from forest conversion and extraction in lower-income countries. A key challenge for REDD occurs when it is implemented at the community rather than the individual landowner level. Whilst achieving this community-level reduction relies on individuals changing their interaction with the forest, incentives are not aligned explicitly at the individual level. Rather, payments are made to the community as a single entity in exchange for verified reduced forest loss, as per a PES scheme. In this paper, we explore how community level REDD has been implemented in one multiple-village pilot in Tanzania. Our findings suggest that considerable attention has been paid to monitoring, reporting, verification, and equity. Though no explicit mechanism ensures individual compliance with the group PES, the development of village level institutions, “social fencing,” and a shared future through equal REDD payments factor into community decisions that influence the level of community compliance that the program will eventually achieve. However, few villages allocate funds for explicit enforcement efforts to protect the forest from illegal activities undertaken by outsiders.

The nested assembly of individual-resource networks

P>1. Much of the current understanding of ecological systems is based on theory that does not explicitly take into account individual variation within natural populations. However, individuals may show substantial variation in resource use. This variation in turn may be translated into topological properties of networks that depict interactions among individuals and the food resources they consume (individual-resource networks). 2. Different models derived from optimal diet theory (ODT) predict highly distinct patterns of trophic interactions at the individual level that should translate into distinct network topologies. As a consequence, individual-resource networks can be useful tools in revealing the incidence of different patterns of resource use by individuals and suggesting their mechanistic basis. 3. In the present study, using data from several dietary studies, we assembled individual-resource networks of 10 vertebrate species, previously reported to show interindividual diet variation, and used a network-based approach to investigate their structure. 4. We found significant nestedness, but no modularity, in all empirical networks, indicating that (i) these populations are composed of both opportunistic and selective individuals and (ii) the diets of the latter are ordered as predictable subsets of the diets of the more opportunistic individuals. 5. Nested patterns are a common feature of species networks, and our results extend its generality to trophic interactions at the individual level. This pattern is consistent with a recently proposed ODT model, in which individuals show similar rank preferences but differ in their acceptance rate for alternative resources. Our findings therefore suggest a common mechanism underlying interindividual variation in resource use in disparate taxa.

EXPLOITING A GENERIC APPROACH TO CONSTRUCT COMPONENT-BASED SYSTEMS SOFTWARE IN LINUX ENVIRONMENTS

Component-based software engineering has recently emerged as a promising solution to the development of system-level software. Unfortunately, current approaches are limited to specific platforms and domains. This lack of generality is particularly problematic as it prevents knowledge sharing and generally drives development costs up. In the past, we have developed a generic approach to component-based software engineering for system-level software called OpenCom. In this paper, we present OpenComL an instantiation of OpenCom to Linux environments and show how it can be profiled to meet a range of system-level software in Linux environments. For this, we demonstrate its application to constructing a programmable router platform and a middleware for parallel environments.

Guides of the Falu Mine : Perceptions of Differences and Similarities onDomestic and International Visitors

Industrial heritage tourism has been in focus for many academic studies and tourism is an alternative developmental tool for mines and contributes to their economic success. This thesis is about the Falu Mine in Dalarna, Sweden, which has World Heritage status since 2001 and is one of the biggest attractions in the region. Its history and cultural importance are reasons for the importance of preserving the heritage. The Falu Mine is under the management of the Great Copper Mountain Trust and one of their ambitions is to ensure the continuous popularity among domestic and international visitors. In order to gain a better understanding of the visitors and to find strategies to improve performance, a visitor survey has been conducted in the summer of 2011. It is the authors believe that the guides of the Falu Mine have the best available insight and that their perceptions help to add to the understanding about the visitors. Therefore, this thesis aims to explore the perceptions of the guides about their visitors, to investigate how the perceptions correspond to the statistical results and to study if there are any differences between domestic and international visitors. The mixed methods approach will increase the depth and accuracy of the results, by linking qualitative with quantitative data. The results show that differences between domestic and international visitors exist, both proven by interviews with the guides and the visitor survey. These differences occur in the factors, such as level of education of the visitors, group size and number of children in the group, knowledge of the visitors prior to and after the visit, sources of information and the fulfillment of the visitor expectations. The perceptions emphasize how these differences impact the guided tours. The guides of the Falu Mine have to be aware of those differences in order to adjust the tour accordingly, as well as the management of the Falu Mine can use this knowledge in order to identify strategies for improving performance.

Allocation of authority in franchise chains

This article investigates the level of delegation in franchise chains, distinguishing the two most relevant franchising models: Business Format Franchising and Learning Network Franchising. The two models basically differ on the level of real authority (effective control over decisions) exercised by the franchisors. Differences in business features, such as the required standardization, monitoring costs and consumer sensitivity to variations in product attributes (consumer measurement costs), explain the adoption of the different models of franchising. These variables affect the trade-off between the risk of brand name loss and the gains in knowledge sharing and learning within the network. The higher the need for standardization, the higher is the risk of brand name loss, and, consequently, the more likely the franchisor will adopt an organizational design that confers more control over franchisees’ decisions, such as business format franchising. This paper presents two case studies with Brazilian food franchise chains that illustrate the main argument and suggest additional propositions. Moreover, an empirical analysis of 223 franchise chains provides additional support to the hypothesis of a negative the effect of required standardization on the level of delegation.

Gestão do conhecimento: os desafios da implantação de um modelo integrado : o caso ANS

A Gestão do Conhecimento vem adquirindo uma importância notória dentro das organizações, tanto públicas quanto privadas. Suas características e aplicações permeiam as discussões acadêmicas e atingem, de forma reflexiva e inovadora, as práticas de trabalho. Seu foco está na elaboração de processos sistemáticos de captura, organização e armazenamento, análise e compartilhamento do conhecimento organizacional (individual e coletivo) voltados à criação de novos conhecimentos, novos produtos, ou novos processos de trabalho. Pretende-se com este estudo levantar os desafios à implantação de um modelo de Gestão do Conhecimento na Agência Nacional de Saúde Suplementar (ANS), tendo como base o discurso dos principais responsáveis por criar estratégias neste sentido e por conceder os instrumentos necessários à sua implementação. Com fundamento na literatura científica sobre o tema, faz-se uma revisão conceitual de conhecimento e de Gestão do Conhecimento, buscando explicitar suas dimensões que passam pela transversalidade do conhecimento, pela aprendizagem individual e organizacional, pelo compartilhamento do conhecimento e pelos sistemas de informação. Como metodologia, optou-se por realizar uma pesquisa qualitativa do tipo explicativa, desenvolvida por meio de estudo de caso, de forma a aprofundar o entendimento da realidade investigada. Os resultados das entrevistas e da análise documental possibilitaram verificar que a ANS tem adotado algumas práticas isoladas associadas à Gestão do Conhecimento. Constatou-se, no discurso, que existe uma predisposição dos gestores de conseguir maior efetividade em suas ações relativas ao compartilhamento do conhecimento e à implantação de um modelo de Gestão do Conhecimento na ANS. A pesquisa, contudo, revelou uma desarticulação institucional ocasionada por cultura hierarquizada e fragmentada, que se mostra profundamente desfavorável à um ambiente de criação e compartilhamento do conhecimento.

Trajetórias profissionais de executivas aos postos de alto escalão: fatores-chave, barreiras, inibidores de ascensão e estratégias de enfrentamento

Esta pesquisa buscou compreender as trajetórias profissionais de executivas aos postos de alto escalão, os fatores-chave, as barreiras e os inibidores de ascensão por elas enfrentados em seus percursos, bem como as estratégias de enfrentamento empregadas. Para tanto, efetuou-se um estudo de campo eminentemente qualitativo, cuja estratégia de pesquisa baseou-se no método de estudo de casos múltiplos, cuja unidade de análise centrou-se no nível individual, a saber, na exploração das experiências profissionais e de vida de executivas que alcançaram postos de alto escalão. Os dados foram coletados por meio de entrevistas em profundidade com 18 profissionais que atuam, ou atuaram, no board de organizações nacionais e multinacionais localizadas na cidade de Rio de Janeiro. A pesquisa revelou que o trabalho se constitui como fonte de identidade central para essas mulheres, e que suas trajetórias profissionais, apesar de únicas, apresentavam um padrão comum: essas executivas empreenderam trajetórias diagonais, devolvidas ao longo de várias organizações diferentes, o que poderia ser indicativo de como lidaram com a segregação vertical ao longo de seu desenvolvimento profissional. Chegar ao board de grandes organizações é empreendimento desafiador para homens e mulheres, a trajetória é afuniladora para ambos e, portanto, os que chegam lá – sejam homens ou mulheres – compartilham mais características comuns entre si, ou seja, o habitus do alto executivo, do que com o gênero ao qual pertencem. A pesquisa também revelou que os determinantes familiares, em especial a maternidade, somente foram apontados como barreiras de ascensão profissional pelas executivas sem filhos. Para as executivas com filhos, a maternidade foi encarada como um momento natural de suas vidas, que requereu algumas concessões, porém cujos possíveis conflitos foram equacionados de forma a que essa dimensão de suas vidas se equilibrasse com a esfera do trabalho que, para todas, se constitui em importante fonte de identidade.

Compartilhamento do conhecimento e confiança organizacional em ambientes fortemente hierarquizados

O compartilhamento do conhecimento e a confiança organizacional são fatores de grande interesse nas pesquisas sobre gestão do conhecimento. Esta tese tem por objetivo identificar como a confiança organizacional influencia a propensão ao compartilhamento do conhecimento em estruturas hierárquicas fortes, estudando os efeitos da satisfação com a carreira, do comprometimento organizacional e do tempo de exposição à hierarquia nesse processo. O método hipotético-dedutivo, aplicado com a técnica de modelagem de equações estruturais a uma amostra de 655 profissionais militares do Exército Brasileiro resultou na mediação do comprometimento organizacional afetivo no relacionamento entre a confiança organizacional e a propensão ao compartilhamento do conhecimento. Os resultados sugerem, ainda, que a percepção de utilidade do conhecimento recebido e o estado civil são variáveis significativas na explicação da variância da propensão ao compartilhamento do conhecimento. Por fim, o tempo de exposição à hierarquia impacta diretamente as variáveis estudadas sem, contudo, interferir no relacionamento entre o comprometimento organizacional e a propensão ao compartilhamento do conhecimento. Os resultados desta tese contribuem para o melhor entendimento do fenômeno de compartilhamento do conhecimento no ambiente organizacional.

Fatores críticos de sucesso para transferência de conhecimento de boas práticas em gerenciamento de projetos

A partir dos anos 90, muitas organizações perceberam que o conhecimento talvez fosse o recurso mais importante na busca de um diferencial competitivo sustentável. Essas organizações passaram, portanto, a desenvolver processos que pudessem aumentar o seu desempenho através da transferência de conhecimento entre indivíduos. A presente pesquisa analisa parte relevante da bibliografia acerca da transferência do conhecimento em ambientes de projeto e coleta evidências para propor um modelo heurístico que possa explicar como ocorre a transferência do conhecimento dos profissionais certificados em gerenciamento de projetos para a equipe participante desses empreendimentos. Como resultado, nove fatores críticos de sucesso foram identificados: Prática/Experiência, Socialização, Externalização/Codificação, Internalização, Combinação, Infraestrutura Tecnológica, Treinamento, Incentivo Público/Financeiro e Cultura de Compartilhamento. Finalmente, algumas conclusões são desenvolvidas para auxiliar as organizações a alcançar esses fatores e obter os resultados previstos nos empreendimentos em que estão envolvidas, dentro de um mercado globalizado e altamente competitivo.