Climate drives temporal replacement and nested‐resultant richness patterns of Scottish coastal vegetation

Beta diversity quantifies spatial and/or temporal variation in species composition. It is comprised of two distinct components, species replacement and nestedness, which derive from opposing ecological processes. Using Scotland as a case study and a β-diversity partitioning framework, we investigate temporal replacement and nestedness patterns of coastal grassland species over a 34-yr time period. We aim to 1) understand the influence of two potentially pivotal processes (climate and land-use changes) on landscape-scale (5 × 5 km) temporal replacement and nestedness patterns, and 2) investigate whether patterns from one β-diversity component can mask observable patterns in the other.

We summarised key aspects of climate driven macro-ecological variation as measures of variance, long-term trends, between-year similarity and extremes, for three important climatic predictors (minimum temperature, water-balance and growing degree-days). Shifts in landscape-scale heterogeneity, a proxy of land-use change, was summarised as a spatial multiple-site dissimilarity measure. Together, these climatic and spatial predictors were used in a multi-model inference framework to gauge the relative contribution of each on temporal replacement and nestedness patterns.

Temporal β-diversity patterns were reasonably well explained by climate change but weakly explained by changes in landscape-scale heterogeneity. Climate was shown to have a greater influence on temporal nestedness than replacement patterns over our study period, linking nestedness patterns, as a result of imbalanced gains and losses, to climatic warming and extremes respectively. Important climatic predictors (i.e. growing degree-days) of temporal β-diversity were also identified, and contrasting patterns between the two β-diversity components revealed.

Results suggest climate influences plant species recruitment and establishment processes of Scotland's coastal grasslands, and while species extinctions take time, they are likely to be facilitated by climatic perturbations. Our findings also highlight the importance of distinguishing between different components of β-diversity, disentangling contrasting patterns than can mask one another.

Spatio-temporal Rich Model Based Video Steganalysis on Cross Sections of Motion Vector Planes

A rich model based motion vector steganalysis benefiting from both temporal and spatial correlations of motion vectors is proposed in this work. The proposed steganalysis method has a substantially superior detection accuracy than the previous methods, even the targeted ones. The improvement in detection accuracy lies in several novel approaches introduced in this work. Firstly, it is shown that there is a strong correlation, not only spatially but also temporally, among neighbouring motion vectors for longer distances. Therefore, temporal motion vector dependency along side the spatial dependency is utilized for rigorous motion vector steganalysis. Secondly, unlike the filters previously used, which were heuristically designed against a specific motion vector steganography, a diverse set of many filters which can capture aberrations introduced by various motion vector steganography methods is used. The variety and also the number of the filter kernels are substantially more than that of used in previous ones. Besides that, filters up to fifth order are employed whereas the previous methods use at most second order filters. As a result of these, the proposed system captures various decorrelations in a wide spatio-temporal range and provides a better cover model. The proposed method is tested against the most prominent motion vector steganalysis and steganography methods. To the best knowledge of the authors, the experiments section has the most comprehensive tests in motion vector steganalysis field including five stego and seven steganalysis methods. Test results show that the proposed method yields around 20% detection accuracy increase in low payloads and 5% in higher payloads.

Evaluación temporal del uso actual del suelo del Bosque Protector Aguarongo y sus áreas colindantes. Área de estudio : Parroquias Santa Ana, San Bartolomé y Zhidmad

Se evaluó el uso actual del suelo, mediante la creación de mapas de uso/cobertura y capacidad de acogida; la problemática consiste en el crecimiento agropecuario; se validó esta información obteniendo que la expansión agropecuaria y las actividades antrópicas, aportan a la fragmentación del hábitat del bosque en detrimento de la biodiversidad existente.

Spiking neural network connectivity and its potential for temporal sensory processing and variable binding

The most biologically-inspired artificial neurons are those of the third generation, and are termed spiking neurons, as individual pulses or spikes are the means by which stimuli are communicated. In essence, a spike is a short-term change in electrical potential and is the basis of communication between biological neurons. Unlike previous generations of artificial neurons, spiking neurons operate in the temporal domain, and exploit time as a resource in their computation. In 1952, Alan Lloyd Hodgkin and Andrew Huxley produced the first model of a spiking neuron; their model describes the complex electro-chemical process that enables spikes to propagate through, and hence be communicated by, spiking neurons. Since this time, improvements in experimental procedures in neurobiology, particularly with in vivo experiments, have provided an increasingly more complex understanding of biological neurons. For example, it is now well-understood that the propagation of spikes between neurons requires neurotransmitter, which is typically of limited supply. When the supply is exhausted neurons become unresponsive. The morphology of neurons, number of receptor sites, amongst many other factors, means that neurons consume the supply of neurotransmitter at different rates. This in turn produces variations over time in the responsiveness of neurons, yielding various computational capabilities. Such improvements in the understanding of the biological neuron have culminated in a wide range of different neuron models, ranging from the computationally efficient to the biologically realistic. These models enable the modeling of neural circuits found in the brain.

Spiking Neural Network Connectivity and its Potential for Temporal Sensory Processing and Variable Binding

The most biologically-inspired artificial neurons are those of the third generation, and are termed spiking neurons, as individual pulses or spikes are the means by which stimuli are communicated. In essence, a spike is a short-term change in electrical potential and is the basis of communication between biological neurons. Unlike previous generations of artificial neurons, spiking neurons operate in the temporal domain, and exploit time as a resource in their computation. In 1952, Alan Lloyd Hodgkin and Andrew Huxley produced the first model of a spiking neuron; their model describes the complex electro-chemical process that enables spikes to propagate through, and hence be communicated by, spiking neurons. Since this time, improvements in experimental procedures in neurobiology, particularly with in vivo experiments, have provided an increasingly more complex understanding of biological neurons. For example, it is now well understood that the propagation of spikes between neurons requires neurotransmitter, which is typically of limited supply. When the supply is exhausted neurons become unresponsive. The morphology of neurons, number of receptor sites, amongst many other factors, means that neurons consume the supply of neurotransmitter at different rates. This in turn produces variations over time in the responsiveness of neurons, yielding various computational capabilities. Such improvements in the understanding of the biological neuron have culminated in a wide range of different neuron models, ranging from the computationally efficient to the biologically realistic. These models enable the modelling of neural circuits found in the brain. In recent years, much of the focus in neuron modelling has moved to the study of the connectivity of spiking neural networks. Spiking neural networks provide a vehicle to understand from a computational perspective, aspects of the brain’s neural circuitry. This understanding can then be used to tackle some of the historically intractable issues with artificial neurons, such as scalability and lack of variable binding. Current knowledge of feed-forward, lateral, and recurrent connectivity of spiking neurons, and the interplay between excitatory and inhibitory neurons is beginning to shed light on these issues, by improved understanding of the temporal processing capabilities and synchronous behaviour of biological neurons. This research topic aims to amalgamate current research aimed at tackling these phenomena.

Spatial and temporal assessment of sediment contamination in Sado estuary: a methodological approach

For better management of estuarine ecosystems their contamination assessment should be easily communicated to local managers and decision makers. The problem is the lack of available data and the search of methodologies to enable that assessment using only few data. The Sado estuary in Portugal is as good example of a site where human pressures and ecological values collide with each other and where the degree of metal and organic contamination has not been subject to an overall assessment, either in terms of spatial or temporal variability, in a way that managers can understand.

Composition, temporal and spatial patterns of very-nearshore larval fish assemblages at the Arrábida marine park

Tese dout., Ciências do Mar, Universidade do Algarve, 2006

Small area estimation for the price of habitation transaction: comparison of different uncertainty measures of temporal EBLUP

Local level planning requires statistics for small areas, but normally due to cost or logistic constraints, sample surveys are often planned to provide reliable estimates only for large geographical regions and large subgroups of a population.

Estimação jackknife ponderada do erro quadrático médio de predição do EBLUP temporal

A metodologia baseada na melhor predição linear empírica não enviesada (Empirical Best Linear Unbiased Prediction), consagrada com o acrónimo EBLUP, é muito utilizada na estimação de parâmetros para pequenos domínios. Apesar da relativa facilidade de dedução dos EBLUPs, mesmo num contexto de um modelo longitudinal, a medição da sua qualidade é um problema complexo devido à di culdade de estimação do erro quadrático médio de predição (EQMP) de tais preditores. Neste trabalho utiliza-se um estimador de parâmetros de interesse em pequenos domínios assistido pelo modelo temporal de Rao-Yu (Rao e Yu, 1994). O EBLUP temporal é apresentado e é revisitada a aproximação analítica assimptótica do EQMP do EBLUP temporal proposta por Rao e Yu (1994). Sob o modelo de Rao-Yu, é proposta uma metodologia jackknife ponderada para estimar o EQMP do EBLUP, desenvolvida a partir dos trabalhos de Chen e Lahiri (2008). Foi realizado um estudo por simulação com o objectivo de comparar o desempenho do estimador proposto com o obtido por via da aproximação analítica do EQMP.

Modelação morfodinâmica a longa escala temporal: aplicabilidade de um modelo baseado em processos

Disssertação de mest., Estudos Marinhos e Costeiros, Faculdade de Ciências e Tecnologia, Univ. do Algarve, 2010

Perfil neuropsicológico em doentes com epilepsia do lobo temporal

A epilepsia do lobo temporal (ELT) é o tipo de epilepsia refractária mais comum nos adultos. O compromisso da memória verbal nos doentes com ELT à esquerda é relativamente consensual. No entanto, no que concerne a outras funções como é o caso da atenção, funções executivas, rendimento intelectual e linguagem, o consenso não é tão generalizado. Nesta investigação fomos estudar o perfil neuropsicológico dos défices cognitivos apresentados por doentes com epilepsia do lobo temporal e clarificar o impacto da cronicidade da doença na cognição. Para esta investigação analisámos retrospectivamente um grupo de 76 doentes com epilepsia refractária, 48 doentes com epilepsia do lobo temporal (23 com foco à direita e 25 com foco à esquerda) e 28 doentes com epilepsia extratemporal. Aplicámos uma bateria de provas utilizada no âmbito do programa da Cirurgia da Epilepsia do Hospital de Egas Moniz, em Lisboa. Os resultados mostram que a bateria aplicada apresenta consistência interna no âmbito da avaliação dos doentes com ELT. Encontrámos que os doentes com ELT à direita e à esquerda apresentam um padrão generalizado de défices, sobreponíveis aos apresentados pelos doentes com epilepsia extratemporal, o que pode ser indicador de compromisso noutras áreas cerebrais para além do hipocampo. Um achado que consideramos pertinente foi o facto da memória verbal com interferência (memória a longo termo) não mostrar alterações nos doentes com ELT tanto à direita como à esquerda, sugerindo que esta função não está comprometida na ELT. Os nossos resultados mostram ainda que os doentes com ELT lateralizada à esquerda apresentam maior compromisso cognitivo do que os doentes com lateralização à direita. Por último, para além do padrão generalizado de défices cognitivos, também conseguimos observar o impacto da doença ao nível das variáveis sócio-demográficas.

Estudo da variação temporal do dióxido de carbono no oceano Atlântico Norte (2002 - 2007)

Foram recolhidos praticamente todos os dados da concentração de CO2 à superfície do mar (fCO2 (SO)) e temperatura à superfície do mar (TSM) obtidos por Embarcações de Observação Voluntária, para o Oceano Atlântico Norte (10º N – 80º N). Foram ainda recolhidos dados das concentrações atmosféricas de CO2 (fCO2 (ATM)), em estações fixas ao longo da bacia, para realizar o estudo do sequestro oceânico de CO2. Após uma seleção minuciosa e uma uniformização exaustiva, os dados foram armazenados por "sectores" 5º latitude x 5º longitude x mês. Em seguida foi obtida uma boa série de dados (2002 – 2007) para sectores que representavam a região das latitudes baixas (10º N-35º N), médias (35º N- 50º N) e altas (50º N-80º N). Para o período 2002 – 2007, o padrão regional da variação da fCO2 (SO) é controlado pela TSM nas latitudes baixas e médias, e pela dinâmica do oceano (absorção de CO2 (SO)) nas latitudes altas. Foi verificado um crescimento generalizado da fCO2 (ATM), TSM e fCO2 (SO) (excepto latitudes altas). Contudo para 2002 – 2007, a fCO2 (SO) está a aumentar mais lentamente do que para 1970 - 2006 [5]. A ΔfCO2 é principalmente influenciada pela fCO2 (SO) e pelos factores físicos que controlam o seu padrão de variação regional. A região das altas latitudes é a zona de maior sequestro de CO2 liquído da bacia. Nas latitudes médias e altas verifica-se um aumento do poder de sequestro para 2002 – 2007, o que que representa uma inflexão à tendência verificada em 1993 - 2005 [93]. Este factor pode estar relacionado com a mudança do índice da Oscilação do Atlântico Norte. A Zona Económica Exclusiva Portuguesa engloba a região que actua como o maior sumidouro de CO2 e o seu poder de sequestro oceânico de CO2 está a aumentar.

The effect of conservation measures on the spatial and temporal variation of rocky fish assemblages in the Arrábida Marine Park

Marine protected areas (MPAs) have been widely proposed for conservation purposes and as a tool for fisheries management. The Arrábida Marine Park is the first MPA in continental Portugal having a management plan, fully implemented since 2009. The main objective of this study was to evaluate the effect of protection measures on rocky reef fish assemblages and target invertebrates through before-after and control-effect (no-take vs. fished areas) underwater visual surveys and analysis of landings trends. Second, we used surveys before, during and after implementation of the management plan to understand fishers‟ preferences for fishing grounds and adaptation to the new rules, and evaluated the reserve effect through analysis of both ecological responses and fishing effort density. Third, we identified the main oceanographic drivers influencing the structure of reef fish assemblages and predicted the community structure for the last 50 years, in light of climatic change. Overall results suggest positive responses in biomass but not yet in numbers of some commercial species, with no effects on non-target species. The reserve effect is reinforced by the increase in landings of commercial species, despite increased fishing effort density in some areas, especially with octopus traps. Fishing grounds are mainly chosen based on the distribution of target species and associated habitats, but distance to port, weather conditions and safety also influence fishers‟ choices. Moreover, different fisheries respond differently to the protection measures, and within each fishery, individual fishers show distinct strategies, with some operating in a broader area whereas others keep preferred territories. Our results also show that wind stress and temperature are the main oceanographic drivers for rocky reef fish assemblages, with tropicalization of assemblages and polewards movements of species over the last 50 years consistent with temperature trends. We believe this study provides significant lessons for marine conservation and management of coastal systems.

Spatial and temporal variation of commercially important bivalve species in the Algarve coast, Portugal

Dissertação de mestrado, Biologia Marinha, Faculdade de Ciências e Tecnologia, Universidade do Algarve, 2015

Temporal distribution of the short-beaked common dolphin (Delphinus delphis) in the south of Madeira Island (Portugal) and relationship with oceanographic variables

Dissertação de mestrado, Biologia Marinha, Faculdade de Ciências e Tecnologia, Universidade do Algarve, 2015