Reduced sampling efficiency causes degraded Vernier hyperacuity with normal aging: Vernier acuity in position noise

Vernier acuity, a form of visual hyperacuity, is amongst the most precise forms of spatial vision. Under optimal conditions Vernier thresholds are much finer than the inter-photoreceptor distance. Achievement of such high precision is based substantially on cortical computations, most likely in the primary visual cortex. Using stimuli with added positional noise, we show that Vernier processing is reduced with advancing age across a wide range of noise levels. Using an ideal observer model, we are able to characterize the mechanisms underlying age-related loss, and show that the reduction in Vernier acuity can be mainly attributed to the reduction in efficiency of sampling, with no significant change in the level of internal position noise, or spatial distortion, in the visual system.

Efficient designs for sampling and subsampling in fisheries research based on ranked sets

Sampling strategies are developed based on the idea of ranked set sampling (RSS) to increase efficiency and therefore to reduce the cost of sampling in fishery research. The RSS incorporates information on concomitant variables that are correlated with the variable of interest in the selection of samples. For example, estimating a monitoring survey abundance index would be more efficient if the sampling sites were selected based on the information from previous surveys or catch rates of the fishery. We use two practical fishery examples to demonstrate the approach: site selection for a fishery-independent monitoring survey in the Australian northern prawn fishery (NPF) and fish age prediction by simple linear regression modelling a short-lived tropical clupeoid. The relative efficiencies of the new designs were derived analytically and compared with the traditional simple random sampling (SRS). Optimal sampling schemes were measured by different optimality criteria. For the NPF monitoring survey, the efficiency in terms of variance or mean squared errors of the estimated mean abundance index ranged from 114 to 199% compared with the SRS. In the case of a fish ageing study for Tenualosa ilisha in Bangladesh, the efficiency of age prediction from fish body weight reached 140%.

General ranked set sampling with cost considerations

Nahhas, Wolfe, and Chen (2002, Biometrics 58, 964-971) considered optimal set size for ranked set sampling (RSS) with fixed operational costs. This framework can be very useful in practice to determine whether RSS is beneficial and to obtain the optimal set size that minimizes the variance of the population estimator for a fixed total cost. In this article, we propose a scheme of general RSS in which more than one observation can be taken from each ranked set. This is shown to be more cost-effective in some cases when the cost of ranking is not so small. We demonstrate using the example in Nahhas, Wolfe, and Chen (2002, Biometrics 58, 964-971), by taking two or more observations from one set even with the optimal set size from the RSS design can be more beneficial.

Efficient regression analysis with ranked-set sampling

This article is motivated by a lung cancer study where a regression model is involved and the response variable is too expensive to measure but the predictor variable can be measured easily with relatively negligible cost. This situation occurs quite often in medical studies, quantitative genetics, and ecological and environmental studies. In this article, by using the idea of ranked-set sampling (RSS), we develop sampling strategies that can reduce cost and increase efficiency of the regression analysis for the above-mentioned situation. The developed method is applied retrospectively to a lung cancer study. In the lung cancer study, the interest is to investigate the association between smoking status and three biomarkers: polyphenol DNA adducts, micronuclei, and sister chromatic exchanges. Optimal sampling schemes with different optimality criteria such as A-, D-, and integrated mean square error (IMSE)-optimality are considered in the application. With set size 10 in RSS, the improvement of the optimal schemes over simple random sampling (SRS) is great. For instance, by using the optimal scheme with IMSE-optimality, the IMSEs of the estimated regression functions for the three biomarkers are reduced to about half of those incurred by using SRS.

Aerosol inorganic composition at a tropical site: Discrepancies between filter-based sampling and a semi-continuous method

The concentrations of the water-soluble inorganic aerosol species, ammonium (NH4+), nitrate (NO3-), chloride (Cl-), and sulfate (SO42-), were measured from September to November 2002 at a pasture site in the Amazon Basin (Rondnia, Brazil) (LBA-SMOCC). Measurements were conducted using a semi-continuous technique (Wet-annular denuder/Steam-Jet Aerosol Collector: WAD/SJAC) and three integrating filter-based methods, namely (1) a denuder-filter pack (DFP: Teflon and impregnated Whatman filters), (2) a stacked-filter unit (SFU: polycarbonate filters), and (3) a High Volume dichotomous sampler (HiVol: quartz fiber filters). Measurements covered the late dry season (biomass burning), a transition period, and the onset of the wet season (clean conditions). Analyses of the particles collected on filters were performed using ion chromatography (IC) and Particle-Induced X-ray Emission spectrometry (PIXE). Season-dependent discrepancies were observed between the WAD/SJAC system and the filter-based samplers. During the dry season, when PM2.5 (D-p <= 2.5 mu m) concentrations were similar to 100 mu g m(-3), aerosol NH4+ and SO42- measured by the filter-based samplers were on average two times higher than those determined by the WAD/SJAC. Concentrations of aerosol NO3- and Cl- measured with the HiVol during daytime, and with the DFP during day- and nighttime also exceeded those of the WAD/SJAC by a factor of two. In contrast, aerosol NO3- and Cl- measured with the SFU during the dry season were nearly two times lower than those measured by the WAD/SJAC. These differences declined markedly during the transition period and towards the cleaner conditions during the onset of the wet season (PM2.5 similar to 5 mu g m(-3)); when filter-based samplers measured on average 40-90% less than the WAD/SJAC. The differences were not due to consistent systematic biases of the analytical techniques, but were apparently a result of prevailing environmental conditions and different sampling procedures. For the transition period and wet season, the significance of our results is reduced by a low number of data points. We argue that the observed differences are mainly attributable to (a) positive and negative filter sampling artifacts, (b) presence of organic compounds and organosulfates on filter substrates, and (c) a SJAC sampling efficiency of less than 100%.

Country-scale carbon accounting of the vegetation and mineral soils of Finland

The increase in global temperature has been attributed to increased atmospheric concentrations of greenhouse gases (GHG), mainly that of CO2. The threat of severe and complex socio-economic and ecological implications of climate change have initiated an international process that aims to reduce emissions, to increase C sinks, and to protect existing C reservoirs. The famous Kyoto protocol is an offspring of this process. The Kyoto protocol and its accords state that signatory countries need to monitor their forest C pools, and to follow the guidelines set by the IPCC in the preparation, reporting and quality assessment of the C pool change estimates. The aims of this thesis were i) to estimate the changes in carbon stocks vegetation and soil in the forests in Finnish forests from 1922 to 2004, ii) to evaluate the applied methodology by using empirical data, iii) to assess the reliability of the estimates by means of uncertainty analysis, iv) to assess the effect of forest C sinks on the reliability of the entire national GHG inventory, and finally, v) to present an application of model-based stratification to a large-scale sampling design of soil C stock changes. The applied methodology builds on the forest inventory measured data (or modelled stand data), and uses statistical modelling to predict biomasses and litter productions, as well as a dynamic soil C model to predict the decomposition of litter. The mean vegetation C sink of Finnish forests from 1922 to 2004 was 3.3 Tg C a-1, and in soil was 0.7 Tg C a-1. Soil is slowly accumulating C as a consequence of increased growing stock and unsaturated soil C stocks in relation to current detritus input to soil that is higher than in the beginning of the period. Annual estimates of vegetation and soil C stock changes fluctuated considerably during the period, were frequently opposite (e.g. vegetation was a sink but soil was a source). The inclusion of vegetation sinks into the national GHG inventory of 2003 increased its uncertainty from between -4% and 9% to ± 19% (95% CI), and further inclusion of upland mineral soils increased it to ± 24%. The uncertainties of annual sinks can be reduced most efficiently by concentrating on the quality of the model input data. Despite the decreased precision of the national GHG inventory, the inclusion of uncertain sinks improves its accuracy due to the larger sectoral coverage of the inventory. If the national soil sink estimates were prepared by repeated soil sampling of model-stratified sample plots, the uncertainties would be accounted for in the stratum formation and sample allocation. Otherwise, the increases of sampling efficiency by stratification remain smaller. The highly variable and frequently opposite annual changes in ecosystem C pools imply the importance of full ecosystem C accounting. If forest C sink estimates will be used in practice average sink estimates seem a more reasonable basis than the annual estimates. This is due to the fact that annual forest sinks vary considerably and annual estimates are uncertain, and they have severe consequences for the reliability of the total national GHG balance. The estimation of average sinks should still be based on annual or even more frequent data due to the non-linear decomposition process that is influenced by the annual climate. The methodology used in this study to predict forest C sinks can be transferred to other countries with some modifications. The ultimate verification of sink estimates should be based on comparison to empirical data, in which case the model-based stratification presented in this study can serve to improve the efficiency of the sampling design.

An investigation of survey technologies and modeling techniques for improving deepwater surveys of nonindigenous species in the Northwestern Hawaiian Islands

Nonindigenous species (NIS) are a major threat to marine ecosystems, with possible dramatic effects on biodiversity, biological productivity, habitat structure and fisheries. The Papahānaumokuākea Marine National Monument (PMNM) has taken active steps to mitigate the threats of NIS in Northwestern Hawaiian Islands (NWHI). Of particular concern are the 13 NIS already detected in NWHI and two invasive species found among the main Hawaiian Islands, snowflake coral (Carijoa riseii) and a red alga (Hypnea musciformis). Much of the information regarding NIS in NWHI has been collected or informed by surveys using conventional SCUBA or fishing gear. These technologies have significant drawbacks. SCUBA is generally constrained to depths shallower than 40 m and several NIS of concern have been detected well below this limit (e.g., L. kasmira – 256 m) and fishing gear is highly selective. Consequently, not all habitats or species can be properly represented. Effective management of NIS requires knowledge of their spatial distribution and abundance over their entire range. Surveys which provide this requisite information can be expensive, especially in the marine environment and even more so in deepwater. Technologies which minimize costs, increase the probability of detection and are capable of satisfying multiple objectives simultaneously are desired. This report examines survey technologies, with a focus on towed camera systems (TCSs), and modeling techniques which can increase NIS detection and sampling efficiency in deepwater habitats of NWHI; thus filling a critical data gap in present datasets. A pilot study conducted in 2008 at French Frigate Shoals and Brooks Banks was used to investigate the application of TCSs for surveying NIS in habitats deeper than 40 m. Cost and data quality were assessed. Over 100 hours of video was collected, in which 124 sightings of NIS were made among benthic habitats from 20 to 250 m. Most sightings were of a single cosmopolitan species, Lutjanus kasmira, but Cephalopholis argus, and Lutjanus fulvus, were also detected. The data expand the spatial distributions of observed NIS into deepwater habitats, identify algal plain as an important habitat and complement existing data collected using SCUBA and fishing gear. The technology’s principal drawback was its inability to identify organisms of particular concern, such as Carijoa riseii and Hypnea musciformis due to inadequate camera resolution and inability to thoroughly inspect sites. To solve this issue we recommend incorporating high-resolution cameras into TCSs, or using alternative technologies, such as technical SCUBA diving or remotely operated vehicles, in place of TCSs. We compared several different survey technologies by cost and their ability to detect NIS and these results are summarized in Table 3.

The Gaussian mixture MCMC particle algorithm for dynamic cluster tracking

We present a novel filtering algorithm for tracking multiple clusters of coordinated objects. Based on a Markov chain Monte Carlo (MCMC) mechanism, the new algorithm propagates a discrete approximation of the underlying filtering density. A dynamic Gaussian mixture model is utilized for representing the time-varying clustering structure. This involves point process formulations of typical behavioral moves such as birth and death of clusters as well as merging and splitting. For handling complex, possibly large scale scenarios, the sampling efficiency of the basic MCMC scheme is enhanced via the use of a Metropolis within Gibbs particle refinement step. As the proposed methodology essentially involves random set representations, a new type of estimator, termed the probability hypothesis density surface (PHDS), is derived for computing point estimates. It is further proved that this estimator is optimal in the sense of the mean relative entropy. Finally, the algorithm's performance is assessed and demonstrated in both synthetic and realistic tracking scenarios. © 2012 Elsevier Ltd. All rights reserved.

THE STEAM-JET AEROSOL COLLECTOR

A new principle of sampling aerosol particles by means of steam injection with the consequent collection of grown droplets has been established. An air stream free of water-soluble gases is rapidly mixed with steam. The resulting supersaturation causes aerosol particles to grow into droplets. The droplets containing dissolved aerosol species are then collected by two cyclones in series. The solution collected in the cyclones is constantly pumped out and can be on- or off-line analysed by means of ion chromatography or flow injection analysis. On the basis of the new sampling principle a prototype of an aerosol sampler was designed which is capable of sampling particles quantitatively down to several nanometres in diameter. The mass sampling efficiency of the instrument was found to be 99\%. The detection limit of the sampler for ammonium, sulphate, nitrate and chloride ions is below 0.7 mu g m(-3). By reduction of an already identified source of contamination, much lower detection limits can be achieved. During measurements the sampler proved to be stable, working without any assistance for extended periods of time. Comparison of the sampler with filter packs during measurements of ambient air aerosols showed that the sampler gives good results.

Learning, fatigue and preference formation in discrete choice experiments

While the repeated nature of Discrete Choice Experiments is advantageous from a sampling efficiency perspective, patterns of choice may differ across the tasks, due, in part, to learning and fatigue. Using probabilistic decision process models, we find in a field study that learning and fatigue behavior may only be exhibited by a small subset of respondents. Most respondents in our sample show preference and variance stability consistent with rational pre-existent and
well formed preferences. Nearly all of the remainder exhibit both learning and fatigue effects. An important aspect of our approach is that it enables learning and fatigue effects to be explored, even though they were not envisaged during survey design or data collection.

Influência de componentes locais e da paisagem na estrutura de uma metacomunidade de anfíbios anuros em uma paisagem fragmentada na Região Neotropical

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

Four year multitrophic food web: source food web description, methodology accuracy and species diversity

Food webs have been used in order to understand the trophic relationship among organisms within an ecosystem, however the extension by which sampling efficiency could affect food web responses remain poorly understood. Still, there is a lack of long-term sampling data for many insect groups, mainly related to the interactions between herbivores and their host plants. In the first chapter, I describe a source food web based on the Senegalia tenuifolia plant by identifying the associated insect species and the interactions among them and with this host plant. Furthermore, I check for the data robustness from each trophic level and propose a cost-efficiently methodology. The results from this chapter show that the collected dataset and the methodology presented are a good tool for sample most insect richness of a source food web. In total the food web comprises 27 species belonging to four trophic levels. In the second chapter, I demonstrate the temporal variation in the species richness and abundance from each trophic level, as well as the relationship among distinct trophic levels. Moreover, I investigate the diversity patterns of the second and third trophic level by assessing the contribution of alfa and beta-diversity components along the years. This chapter shows that in our system the parasitoid abundance is regulated by the herbivore abundances. Besides, the species richness and abundances of the trophic levels vary temporally. It also shows that alfa-diversity was the diversity component that most contribute to the herbivore species diversity (2nd trophic level), while the contribution of alfa- and beta-diversity changed along the years for parasitoid diversity (3rd level). Overall, this dissertation describes a source food web and bring insights into some food web challenges related to the sampling effort to gather enough species from all trophic levels. It also discuss the relation among communities associated with distinct trophic levels and their temporal variation and diversity patterns. Finally, this dissertation contributes for the world food web database and in understanding the interactions among its trophic levels and each trophic level pattern along time and space

Ecologia da ictiofauna e análise ecossistêmica das áreas de influência direta da UHE Coaracy Nunes, Ferreira Gomes - AP

O reservatório da UHE Coaracy Nunes no rio Araguari esta localizado entre os municípios de Ferreira Gomes e Porto Grande no estado do Amapá-Brasil, distando 200 km do Oceano Atlântico. A usina Coaracy Nunes foi a primeira hidrelétrica a ser construída na Amazônia brasileira, tendo suas obras iniciadas em 1967. O rio Araguari e o principal rio do estado do Amapá e representa fonte de geração de renda através da pesca, atividades agropecuárias em sua várzea, navegação, mineração, geração de energia e lazer. O presente estudo teve por objetivo avaliar as alterações impostas pela construção do reservatório da UHE Coaracy Nunes, através das assembleias de peixes de quatro áreas de influencia direta desta usina. Para isso, no período de maio de 2009 a julho de 2010, foram realizadas coletas bimensais, de peixes, com redes de malhas padronizadas variando de 1,0 a 10,0 cm entre nos adjacentes e outras técnicas auxiliares. A partir destas coletas, no capitulo 1 foi verificado a composição, abundancia (CPUEn) e biomassa (CPUEp) relativas da ictiofauna, eficiência amostral (curva do coletor, curva de rarefação e Jacknife) e descritores ecológicos de comunidades (riqueza, diversidade, equitabilidade e dominância) das assembleias das quatro áreas. Foram efetuadas analises de variância (ANOVA: bifatorial), Kruskal-Wallis, teste-T e Mann-Whitney para verificar se havia diferenças significativas dos descritores entre as áreas e períodos sazonais. Estas análises foram corroboradas por analises multivariadas de agrupamento (cluster), ordenamento (MDS), Anosim e Simper. No capitulo 2, os estados ecológicos das quatro áreas foram verificados utilizando como indicadores: curvas espécie abundancia, curvas K-dominância e curvas ABC, assim como modelos espécie-abundancia serie geométrica, log serie, log normal e broken stick, e modelo de regressão linear de espectros de tamanho. No capitulo 3, a estrutura trófica foi estimada a partir da categorização das espécies de cada área em 5 guildas: piscívora, onívora, detritívora, carnívora e herbívora. A abundancia, biomassa e índices ecológicos destas guildas foram estimados e verificados suas variações espaço-temporais, por analises de variância (ANOVA: bifatorial e Kruskal-Wallis) e teste t. No capitulo 4, a dieta das espécies mais abundantes das assembleias de cada área foi verificada e suas variações espaço-temporais detectadas por analise de variância (ANOVA: bifatorial e Kruskal-Wallis). Também foram estimados a amplitude e sobreposição de nicho das espécies mais abundantes, assim como a existência de competição entre as espécies através de modelagem nula. No capitulo 5 foi realizada a avaliação ecossistêmica das quatro áreas através de modelos de fluxo de biomassa na rede trófica do ecossistema, usando como instrumento de modelação o software Ecopath. Essas análises tinham por objetivo descrever as variações dos atributos ecológicos que quantificam as propriedades de maturidade, estabilidade e resiliência ecossistêmica que pudessem refletir os estados ecológicos dessas áreas. O modelo incluiu compartimentos funcionais desde produtores primários ate predadores de topo. No geral, todas as análises indicaram sensíveis alterações na ictiofauna atribuídas a implantação da UHE Coaracy Nunes, que se refletem nos três níveis de organização: ecossistema, comunidade (assembleia) e guilda. Os resultados indicaram a captura de 1.977 peixes distribuídos em 2 classes, 9 ordens, 23 famílias, 73 gêneros e 108 espécies. As curvas de acumulação de espécies e curvas de rarefação individualizadas demonstraram que houve suficiência amostral nas áreas Reservatório e Lacustre. Os resultados mostraram que a área Jusante foi mais rica, diversa e equitativa em relação as demais e que a sazonalidade não influenciou na variação destes índices. A abundancia relativa (CPUEn) foi superior nas áreas Reservatório e Lacustre e a biomassa relativa (CPUEb) foi superior na área Jusante, não havendo diferenças sazonais para esses descritores em todas as áreas. As analises de agrupamento (cluster) e ordenamento (MDS) da ictiofauna permitiram identificar a formação de três assembleias distintas: Jusante, Montante e uma assembleia que compreende as áreas Reservatório e Lacustre, ratificando a similaridade dessas duas áreas. Os resultados das curvas whitakeplot, ABC e K-dominância, assim como o ajuste satisfatório do modelo broken stick e os padrões das curvas de espectro de tamanho para a assembleia da área a jusante indicam que esta área foi a mais equilibrada em termos ecológicos. Nas áreas Lacustre e Reservatório, os resultados tanto do ajuste ao modelo serie geométrica, quanto os resultados das curvas whitake-plot, ABC e K-dominância e o espectro de tamanho, assim como os resultados das curvas e ajustes ao modelo série e menor espectro de tamanho para a assembleia da área Reservatório, refletem que os peixes destas áreas, em sua maioria, são indivíduos pequenos com elevada dominância e baixa equitabilidade, caracterizando comunidades típicas de áreas impactadas. A estrutura trófica das assembleias de peixes das áreas represadas (Reservatório e Lacustre) foram formatadas em função do barramento do rio, que isolou e fragmentou o ambiente, determinando sua modificação física, impondo o estabelecimento de uma ictiofauna de espécies pré-adaptadas as condições ambientais de represamento, diferente, em parte, da estrutura da ictiofauna fluvial pre-barramento, destacando as piscívoras, onívoras e detritívoras, que foram as mais ricas e abundantes em função da disponibilidade, nas duas áreas, dos recursos alimentares de sua preferencia. Os resultados demonstraram que as dietas das assembleias de todas as áreas foram similares quanto ao predomínio do consumo de peixes e detritos, seguidos de alimento vegetal aloctone, revelando um padrão com poucos nichos amplos e uma concentração maior de espécies com nichos mais estreitos. Contudo, o padrão de baixa amplitude trófica foi evidenciado pelo predomínio da guilda piscívora, somada as guildas detritívora e herbívora. A sazonalidade pouco influenciou na alimentação da maioria das espécies em todas as áreas. Os padrões comparativos da dieta entre as áreas Montante e Jusante com as áreas Reservatório e Lacustre indicam que a maioria das espécies das áreas represadas pertenciam as guildas piscívora, onívora e detritívora antes do barramento do rio, que colonizaram estes ambientes, influenciadas, principalmente, pela abundancia dos recursos alimentares de suas preferencias e das condições físicas ambientais favoráveis. Interações competitivas foram evidenciadas pelos modelos nulos, sugerindo que a competição também foi um fator importante na estruturação das assembleias. Ecossistemicamente, os quatro modelos de fluxo de biomassa representam ecossistemas com elevada produção primaria oriunda da floresta riparia e algas filamentosas, que são utilizadas parcialmente. A cadeia trófica baseada em detrito apresentou ser mais importante que a que tem como base a produção primaria nas áreas Reservatório e Lacustre. A maioria dos fluxos ocorre nos compartimentos de níveis tróficos baixos. As propriedades ecossistêmicas da área Jusante indicam que este ambiente se encontra mais desenvolvido e maduro em relação aos outros, caracterizado por resiliência e entropia altas. As áreas represadas (Reservatório e Lacustre) apresentaram atributos ecossistêmicos que lhe conferiram características de menos resiliente e menos maduro que as áreas de rio. A área Montante apresentou um padrão intermediário de resiliência, estabilidade e maturidade. Esses resultados evidenciam que apos quarenta anos da construção da barragem do reservatório de Coaracy Nunes, a fragmentação do ambiente proporcionou alterações ecossistêmicas negativas, refletidas nas assembleias de peixes das áreas acima do barramento e na analise ecossistêmica, evidenciando que a área jusante apresenta características de ambiente em bom estado ecológico, com baixa alteração de origem antrópica e capaz de suportar distúrbios.

A review of dendrogeomorphological research applied to flood risk analysis in Spain

Over the last forty years, applying dendrogeomorphology to palaeoflood analysis has improved estimates of the frequency and magnitude of past floods worldwide. This paper reviews the main results obtained by applying dendrogeomorphology to flood research in several case studies in Central Spain. These dendrogeomorphological studies focused on the following topics: (1) anatomical analysis to understand the physiological response of trees to flood damage and improve sampling efficiency; (2) compiling robust flood chronologies in ungauged mountain streams, (3) determining flow depth and estimating flood discharge using two-dimensional hydraulic modelling, and comparing them with other palaeostage indicators; (4) calibrating hydraulic model parameters (i.e. Manning roughness); and (5) implementing stochastic-based, cost–benefit analysis to select optimal mitigation measures. The progress made in these areas is presented with suggestions for further research to improve the applicability of dendrogeochronology to palaeoflood studies. Further developments will include new methods for better identification of the causes of specific types of flood damage to trees (e.g. tilted trees) or stable isotope analysis of tree rings to identify the climatic conditions associated with periods of increasing flood magnitude or frequency.