On certain new exact solutions of a diffusive predator-prey system

We construct exact solutions for a system of two coupled nonlinear partial differential equations describing the spatio-temporal dynamics of a predator-prey system where the prey per capita growth rate is subject to the Allee effect. Using the G'/G expansion method, we derive exact solutions to this model for two different wave speeds. For each wave velocity we report three different forms of solutions. We also discuss the biological relevance of the solutions obtained. © 2012 Elsevier B.V.

Composição e variabilidade espaço-temporal da meiofauna de uma praia arenosa na região amazônica (Ajuruteua, Pará)

Este trabalho avalia a variabilidade espaço-temporal da meiofauna do médiolitoral na praia de Ajuruteua, Estado do Pará. As coletas foram realizadas a cada dois meses, entre abril de 2003 a fevereiro de 2004 durante as marés de sizígia, em diferentes zonas da praia. As amostras foram retiradas com um amostrador cilíndrico de 3,14 cm² e fixadas em formalina salina a 5%. Em laboratório, as amostras foram passadas em malha de 0,063 mm de abertura e os organismos retidos identificados em nível de grandes grupos taxonômicos, contados e fixados em álcool etílico a 70%. A meiofauna esteve representada por oito grupos: Turbellaria, Nematoda, Tardigrada, Polychaeta, Oligochaeta, Acari, adultos de Copepoda Harpacticoida e juvenis de Copepoda Harpacticoida. Nematoda foi o grupo dominante, representando 74% do total de indivíduos, seguido de Copepoda (19%). Pôde-se observar clara zonação horizontal da fauna, que se distribuiu em três faixas paralelas à linha de praia, com características significativamente distintas quanto à abundância, riqueza e densidade dos principais grupos taxonômicos. No médiolitoral médio foram observados valores significativamente mais elevados de riqueza e abundância, enquanto os valores mais baixos foram registrados no médiolitoral superior e inferior. A comunidade de meiofauna, ainda que não tenha variado significativamente entre períodos climáticos, foi mais rica e abundante nos meses secos. Os principais fatores responsáveis pelas variações espaço-temporais da meiofauna foram a ação das ondas e das marés e as variações na salinidade da água

Distribuição espaço-temporal da ictiofauna de poças de maré de um estuário amazônico: interação de fatores

A ictiofauna de poças de maré tem sido bem estudada em regiões temperadas e tropicais do Pacifico. No Brasil, ainda é incipiente o conhecimento ecológico das poças de maré e das assembléias de peixes que as habitam. O presente estudo pretendeu investigar a composição e distribuição espaço-temporal das assembléias de peixes associadas às poças de maré em habitats de afloramento rochoso, floresta de mangue e marismas da Ilha do Areuá, estuário inferior do rio Curuçá, Norte do Brasil. Amostragens trimestrais foram realizadas entre fevereiro e novembro de 2009, durante a maré baixa de sizígia (lua nova), utilizando metodologia padronizada. As variáveis ambientais sofreram modificações ao longo do gradiente vertical e foram responsáveis pela distribuição espacial e temporal da ictiofauna no afloramento rochoso. A salinidade, profundidade média e heterogeneidade do substrato foram as variáveis que mais explicaram as variações na distribuição da ictiofauna. A comparação entre os habitats de afloramento rochoso, floresta de mangue e marismas evidenciou que as assembléias de peixes do afloramento rochoso são claramente distintas daquela presente nos habitats vegetados (floresta de mangue e marismas). Os resultados deste estudo sugerem que há preferências pela ictiofauna por determinados habitats em função das variáveis ambientais e heterogeneidade do substrato, porém mais estudos devem ser realizados levando em consideração relações inter e intra-especificas.

Dinâmica espaço-temporal de danos do cancro basal em Eucalyptus grandis

Pós-graduação em Agronomia (Proteção de Plantas) - FCA

Environmental factors influencing the distribution of three species within the genus Persephona Leach, 1817 (Crustacea, Decapoda, Leucosiidae) in two regions on the northern coast of Sao Paulo State, Brazil

Patterns of spatio-temporal distribution of Brachyura are determined by the interaction among life history traits, inter and intraspecific relationships, as well as by the variation of abiotic factors. This study aimed to characterize patterns of spatio-temporal distribution of Persephona lichtensteinii, Persephona mediterranea and Persephona punctata in two regions of the northern coast of Sao Paulo State, southeastern region of Brazil. Collections were done monthly from July 2001 to June 2003 in Caraguatatuba and Ubatuba, using a shrimp fishery boat equipped with double-rig nets. The patterns of species distribution were tested by means of redundancy analysis (RDA) and generalized linear mixed models (GLMM) in relation to the recorded environmental factors (BT: bottom temperature, BS: bottom salinity, OM: organic matter and granulometry (Phi)). The most influent environmental factor over the species distribution was the Phi, and the ascendant order of influence was P. lichtensteinii, P. punctata and P. mediterranea. The greater abundance of P. mediterranea showed a conservative pattern of distribution for the genus in the sampled region. The greater occurrence of P. punctata and P. lichtensteinii, in distinct transects than those occupied by P. mediterranea, seems to be a strategy to avoid competition among congeneric species, which is related to the substratum specificity.

Morfogênese e morfodinâmica: a evidência geográfica da síntese temporal ocidental

This work seeks to explain the historical perspective of the building temporal western, showing the concepts of morphogenesis and morphodynamics as contemporary representations of geographical science for the synthesis forged about time. In this sense, it is the perspective of time in the Middle Ages, its implications and social substantiality, as interposed to time erected by the rise of a merchant class in Europe, we seek to present the social conception of this category in the West, stating that this not constituted as a supra-social element, but built by the organization itself and internal contradiction of European society. Finally, we saw the delineations drawn by geography, set in propositions about the dynamics of nature and society, such being the latest concepts in terms of the logic of assimilation weather prevailing. For this, we use literature review and comparison of temporal models at different times for the delineation of the contours of the research... (Complete abstract click electronic access below)

Análise espaço-temporal do escoamento fluvial nas bacias hidrográficas dos rios Aguapeí e Peixe, Oeste Paulista, Brasil

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Seeking a Second Opinion: Uncertainty in Disease Ecology

Analytical methods accounting for imperfect detection are often used to facilitate reliable inference in population and community ecology. We contend that similar approaches are needed in disease ecology because these complicated systems are inherently difficult to observe without error. For example, wildlife disease studies often designate individuals, populations, or spatial units to states (e.g., susceptible, infected, post-infected), but the uncertainty associated with these state assignments remains largely ignored or unaccounted for. We demonstrate how recent developments incorporating observation error through repeated sampling extend quite naturally to hierarchical spatial models of disease effects, prevalence, and dynamics in natural systems. A highly pathogenic strain of avian influenza virus in migratory waterfowl and a pathogenic fungus recently implicated in the global loss of amphibian biodiversity are used as motivating examples. Both show that relatively simple modifications to study designs can greatly improve our understanding of complex spatio-temporal disease dynamics by rigorously accounting for uncertainty at each level of the hierarchy.

Changes in intrapopulation resource use patterns of an endangered raptor in response to a disease-mediated crash in prey abundance

1. A long-standing question in ecology is how natural populations respond to a changing environment. Emergent optimal foraging theory-based models for individual variation go beyond the population level and predict how its individuals would respond to disturbances that produce changes in resource availability. 2. Evaluating variations in resource use patterns at the intrapopulation level in wild populations under changing environmental conditions would allow to further advance in the research on foraging ecology and evolution by gaining a better idea of the underlying mechanisms explaining trophic diversity. 3. In this study, we use a large spatio-temporal scale data set (western continental Europe, 19682006) on the diet of Bonellis Eagle Aquila fasciata breeding pairs to analyse the predator trophic responses at the intrapopulation level to a prey population crash. In particular, we borrow metrics from studies on network structure and intrapopulation variation to understand how an emerging infectious disease [the rabbit haemorrhagic disease (RHD)] that caused the density of the eagles primary prey (rabbit Oryctolagus cuniculus) to dramatically drop across Europe impacted on resource use patterns of this endangered raptor. 4. Following the major RHD outbreak, substantial changes in Bonellis Eagles diet diversity and organisation patterns at the intrapopulation level took place. Dietary variation among breeding pairs was larger after than before the outbreak. Before RHD, there were no clusters of pairs with similar diets, but significant clustering emerged after RHD. Moreover, diets at the pair level presented a nested pattern before RHD, but not after. 5. Here, we reveal how intrapopulation patterns of resource use can quantitatively and qualitatively vary, given drastic changes in resource availability. 6. For the first time, we show that a pathogen of a prey species can indirectly impact the intrapopulation patterns of resource use of an endangered predator.

Transgene Mausmodelle zur Untersuchung von Nervenzellwanderungen

Im Rahmen dieser Arbeit wurden transgene Mausmodelle hergestellt, die eine weitere Aufklärung der Rolle des Transkriptionsfaktors Pax6 bei der Wanderung von Nervenzellen ermöglichen, sowie ein Kultursystem zur Darstellung embryonaler Wanderungen außerhalb des Mutterleibs entwickelt.Bei der YAC-transgenen Mäuselinie PhPax6-taulacZ wird das Reportergen taulacZ unter der Kontrolle des Pax6-Promotors exprimiert. Dadurch ist dort, wo Pax6 im Zellkern vorliegt, der Rest der Zelle über seine gesamte Ausdehnung mit der vom taulacZ-Transgen kodierten tau-b-Galactosidase markiert. Das räumlich-zeitliche Expressionsmuster von Pax6 und dem Transgen taulacZ wurde detailliert untersucht. Dabei wurde eine hohe Übereinstimmung festgestellt. Basierend auf der Darstellung der Zellen in ihrer gesamten Ausdehnung, die durch das taulacZ-Transgen erstmals möglich ist, wurde eine Klassifizierung Pax6-positiver Zelltypen vorgenommen. Zunächst wird Pax6 in Neuroepithelzellen, später in radialen Gliazellen exprimiert.Mit der zweiten transgenen Mäuselinie, PhPax6-tTA, wurde ein Werkzeug hergestellt, das die gezielte und hoch spezifische Expression von beliebigen Transgenen in Pax6-exprimierenden Zellen ermöglicht. In Pax6-positive Zellen der Medulla wurde das Grün Fluoreszierende Protein (GFP) eingeführt und das Wanderungsverhalten in vitro über mehrere Tage dargestellt. Erstmals können mit dieser Linie beliebige Expressionskonstrukte gezielt, hocheffizient und schnell in wandernde Neurone eingebracht werden, ohne störende Hinter-grundexpression in anderen Zellen.

Hox genes and the regulation of programmed cell death in the embryonic central nervous system of Drosophila melanogaster

This study deals with the function and regulation of programmed cell death, or apoptosis, in the development of the embryonic central nervous system of Drosophila melanogaster. The first part provides a description of apoptosis-deficient embryos, which showed that preventing apoptosis does not cause gross morphological defects in the CNS, as it appears well organized despite the presence of too many cells. An analysis of the incidence and pattern of apoptosis over the course of development discloses a partly very orderly pattern suggesting tight spatio-temporal control, but also reveals random apoptotic cells, which suggests a certain amount of plasticity in the embryo. This analysis also allowed precise identification of some of the dying neural cells in the embryo, and establishment of single cell models for studying regulation of segment-specific apoptosis in the embryonic CNS. In the second part of the work, further investigations into mechanisms controlling segment-specific apoptosis revealed the involvement of two Hox genes, Antennapedia (Antp) and Ultrabithorax (Ubx), in this process. Hox genes control the formation of segment-specific structures in their domains of expression, but also regulate organ and tissue morphogenesis. The study presented here shows that Antp and Ubx play antagonistic roles in motoneuron survival in the embryo. Ubx expression in the CNS is strongly upregulated at a late point in development, when most cells have begun to differentiate. This upregulation shortly precedes Ubx-dependent, segment-specific apoptosis of two differentiated motoneurons. It could further be demonstrated that Antp is required for proper development of the NB7-3 lineage and for survival of the NB7-3 motoneuron in the anterior thoracic segments. In segments where Antp and Ubx expression overlaps, Ubx counteracts the anti-apoptotic function of Antp, resulting in cell death. Thus, these two Hox genes play opposing roles in the survival of differentiated neurons in the late developing nervous system. They thereby contribute to establishment of correct connections between outward-projecting neurons and their targets, which is crucial for the assembly of functional neural circuits, as these have to fulfill region-specific locomotion and sensory requirements along the antero-posterior body axis.

Temperature Variation Aware Energy Optimization in Heterogeneous MPSoCs

Thermal effects are rapidly gaining importance in nanometer heterogeneous integrated systems. Increased power density, coupled with spatio-temporal variability of chip workload, cause lateral and vertical temperature non-uniformities (variations) in the chip structure. The assumption of an uniform temperature for a large circuit leads to inaccurate determination of key design parameters. To improve design quality, we need precise estimation of temperature at detailed spatial resolution which is very computationally intensive. Consequently, thermal analysis of the designs needs to be done at multiple levels of granularity. To further investigate the flow of chip/package thermal analysis we exploit the Intel Single Chip Cloud Computer (SCC) and propose a methodology for calibration of SCC on-die temperature sensors. We also develop an infrastructure for online monitoring of SCC temperature sensor readings and SCC power consumption. Having the thermal simulation tool in hand, we propose MiMAPT, an approach for analyzing delay, power and temperature in digital integrated circuits. MiMAPT integrates seamlessly into industrial Front-end and Back-end chip design flows. It accounts for temperature non-uniformities and self-heating while performing analysis. Furthermore, we extend the temperature variation aware analysis of designs to 3D MPSoCs with Wide-I/O DRAM. We improve the DRAM refresh power by considering the lateral and vertical temperature variations in the 3D structure and adapting the per-DRAM-bank refresh period accordingly. We develop an advanced virtual platform which models the performance, power, and thermal behavior of a 3D-integrated MPSoC with Wide-I/O DRAMs in detail. Moving towards real-world multi-core heterogeneous SoC designs, a reconfigurable heterogeneous platform (ZYNQ) is exploited to further study the performance and energy efficiency of various CPU-accelerator data sharing methods in heterogeneous hardware architectures. A complete hardware accelerator featuring clusters of OpenRISC CPUs, with dynamic address remapping capability is built and verified on a real hardware.

Self-organised transients in a neural mass model of epileptogenic tissue dynamics

Stimulation of human epileptic tissue can induce rhythmic, self-terminating responses on the EEG or ECoG. These responses play a potentially important role in localising tissue involved in the generation of seizure activity, yet the underlying mechanisms are unknown. However, in vitro evidence suggests that self-terminating oscillations in nervous tissue are underpinned by non-trivial spatio-temporal dynamics in an excitable medium. In this study, we investigate this hypothesis in spatial extensions to a neural mass model for epileptiform dynamics. We demonstrate that spatial extensions to this model in one and two dimensions display propagating travelling waves but also more complex transient dynamics in response to local perturbations. The neural mass formulation with local excitatory and inhibitory circuits, allows the direct incorporation of spatially distributed, functional heterogeneities into the model. We show that such heterogeneities can lead to prolonged reverberating responses to a single pulse perturbation, depending upon the location at which the stimulus is delivered. This leads to the hypothesis that prolonged rhythmic responses to local stimulation in epileptogenic tissue result from repeated self-excitation of regions of tissue with diminished inhibitory capabilities. Combined with previous models of the dynamics of focal seizures this macroscopic framework is a first step towards an explicit spatial formulation of the concept of the epileptogenic zone. Ultimately, an improved understanding of the pathophysiologic mechanisms of the epileptogenic zone will help to improve diagnostic and therapeutic measures for treating epilepsy.

Spatial and temporal variation in population genetic structure of wild Nile tilapia (Oreochromis niloticus) across Africa

Background: Reconstructing the evolutionary history of a species is challenging. It often depends not only on the past biogeographic and climatic events but also the contemporary and ecological factors, such as current connectivity and habitat heterogeneity. In fact, these factors might interact with each other and shape the current species distribution. However, to what extent the current population genetic structure reflects the past and the contemporary factors is largely unknown. Here we investigated spatio-temporal genetic structures of Nile tilapia (Oreochromis niloticus) populations, across their natural distribution in Africa. While its large biogeographic distribution can cause genetic differentiation at the paleo-biogeographic scales, its restricted dispersal capacity might induce a strong genetic structure at micro-geographic scales. Results: Using nine microsatellite loci and 350 samples from ten natural populations, we found the highest genetic differentiation among the three ichthyofaunal provinces and regions (Ethiopian, Nilotic and Sudano-Sahelian) (R(ST) = 0.38 - 0.69). This result suggests the predominant effect of paleo-geographic events at macro-geographic scale. In addition, intermediate divergences were found between rivers and lakes within the regions, presumably reflecting relatively recent interruptions of gene flow between hydrographic basins (R(ST) = 0.24 - 0.32). The lowest differentiations were observed among connected populations within a basin (R(ST) = 0.015 in the Volta basin). Comparison of temporal sample series revealed subtle changes in the gene pools in a few generations (F = 0 - 0.053). The estimated effective population sizes were 23 - 143 and the estimated migration rate was moderate (m similar to 0.094 - 0.097) in the Volta populations. Conclusions: This study revealed clear hierarchical patterns of the population genetic structuring of O. niloticus in Africa. The effects of paleo-geographic and climatic events were predominant at macro-geographic scale, and the significant effect of geographic connectivity was detected at micro-geographic scale. The estimated effective population size, the moderate level of dispersal and the rapid temporal change in genetic composition might reflect a potential effect of life history strategy on population dynamics. This hypothesis deserves further investigation. The dynamic pattern revealed at micro-geographic and temporal scales appears important from a genetic resource management as well as from a biodiversity conservation point of view.

Limitations of Remotely-sensed Aerosol as a Spatial Proxy for Fine Particulate Matter

Recent research highlights the promise of remotely-sensed aerosol optical depth (AOD) as a proxy for ground-level PM2.5. Particular interest lies in the information on spatial heterogeneity potentially provided by AOD, with important application to estimating and monitoring pollution exposure for public health purposes. Given the temporal and spatio-temporal correlations reported between AOD and PM2.5 , it is tempting to interpret the spatial patterns in AOD as reflecting patterns in PM2.5 . Here we find only limited spatial associations of AOD from three satellite retrievals with PM2.5 over the eastern U.S. at the daily and yearly levels in 2004. We then use statistical modeling to show that the patterns in monthly average AOD poorly reflect patterns in PM2.5 because of systematic, spatially-correlated error in AOD as a proxy for PM2.5 . Furthermore, when we include AOD as a predictor of monthly PM2.5 in a statistical prediction model, AOD provides little additional information to improve predictions of PM2.5 when included in a model that already accounts for land use, emission sources, meteorology and regional variability. These results suggest caution in using spatial variation in AOD to stand in for spatial variation in ground-level PM2.5 in epidemiological analyses and indicate that when PM2.5 monitoring is available, careful statistical modeling outperforms the use of AOD.