Spatial Match Research Articles

Feeding opportunities of larval and juvenile cod (Gadus morhua) in a Greenlandic fjord: temporal and spatial linkages between cod and their preferred prey

Feeding of fish depends on a spatial and temporal match with prey, and since larval and juvenile feeding can be highly selective, their preferences for given prey sizes and taxa should be considered when quantifying the actual availability of potential prey. We investigated the diet and prey preferences of the early-life stages of Atlantic cod (Gadus morhua) to quantify the availability of prey during a spring-summer season in a West Greenlandic fjord. We hypothesized that abundances of larval and juvenile cod at size were synchronized to optimal availability of preferred prey in space and time. The present analysis is based on nine cruises each covering 5 stations visited between 24 May and 5 August 2010 comparing zooplankton abundance, cod gut content and distribution patterns. Cod 4–25 mm in length preferred prey of about 5 % of their own length. During ontogeny, their preferences changed from calanoid nauplii towards Pseudocalanus spp. and Calanus spp. copepodites. The larvae/juvenile had an exceptionally high dietary contribution from cladocerans, which were highly preferred by cod larger than 9 mm, while the abundant Metridia longa and the non-calanoid copepods contributed less. These findings stress the importance of focusing on abundance of preferred prey when assessing the actual prey availability to young fish. We found a spatio-temporal overlap between cod and their preferred prey, and observations suggest that advection of both zooplankton and cod contributed to this overlap. Hence, the larval feeding opportunities might be sensitive to climate-related changes affecting the circulation patterns in this fjord.

Global mismatch between species richness and vulnerability of reef fish assemblages.

The impact of anthropogenic activity on ecosystems has highlighted the need to move beyond the biogeographical delineation of species richness patterns to understanding the vulnerability of species assemblages, including the functional components that are linked to the processes they support. We developed a decision theory framework to quantitatively assess the global taxonomic and functional vulnerability of fish assemblages on tropical reefs using a combination of sensitivity to species loss, exposure to threats and extent of protection. Fish assemblages with high taxonomic and functional sensitivity are often exposed to threats but are largely missed by the global network of marine protected areas. We found that areas of high species richness spatially mismatch areas of high taxonomic and functional vulnerability. Nevertheless, there is strong spatial match between taxonomic and functional vulnerabilities suggesting a potential win-win conservation-ecosystem service strategy if more protection is set in these locations.

Preferring alphabet–keyboard compatibility: Congruency between spatial codes shapes the affective connotation of letters

When letters are encountered, two spatial stimulus codes resulting from their positions within the alphabet and on the computer keyboard are activated mentally. If these two spatial codes match, letter processing is more efficient. The present study tested whether the processing fluency gain resulting from alphabet–keyboard compatibility also enhances affective evaluations of letters. In Experiment 1, participants preferred alphabet–keyboard compatible over incompatible letters in a forced-choice preference rating. Similarly, in Experiment 2, liking ratings for alphabet–keyboard compatible letters were higher compared to incompatible letters. Moreover, in Experiment 3, preference ratings of non-words were positively correlated with the relative number of alphabet–keyboard compatible letters within these letter strings. These findings suggest that alphabet–keyboard compatibility shapes the affective connotation of letters. Moreover, this processing fluency–valence association is activated at the level of letters as well as whole letter strings.

Assessment of multiresolution segmentation for delimiting drumlins in digital elevation models

Mapping or “delimiting” landforms is one of geomorphology's primary tools. Computer-based techniques such as land-surface segmentation allow the emulation of the process of manual landform delineation. Land-surface segmentation exhaustively subdivides a digital elevation model (DEM) into morphometrically-homogeneous irregularly-shaped regions, called terrain segments. Terrain segments can be created from various land-surface parameters (LSP) at multiple scales, and may therefore potentially correspond to the spatial extents of landforms such as drumlins. However, this depends on the segmentation algorithm, the parameterization, and the LSPs. In the present study we assess the widely used multiresolution segmentation (MRS) algorithm for its potential in providing terrain segments which delimit drumlins. Supervised testing was based on five 5-m DEMs that represented a set of 173 synthetic drumlins at random but representative positions in the same landscape. Five LSPs were tested, and four variants were computed for each LSP to assess the impact of median filtering of DEMs, and logarithmic transformation of LSPs. The testing scheme (1) employs MRS to partition each LSP exhaustively into 200 coarser scales of terrain segments by increasing the scale parameter (SP), (2) identifies the spatially best matching terrain segment for each reference drumlin, and (3) computes four segmentation accuracy metrics for quantifying the overall spatial match between drumlin segments and reference drumlins. Results of 100 tests showed that MRS tends to perform best on LSPs that are regionally derived from filtered DEMs, and then log-transformed. MRS delineated 97% of the detected drumlins at SP values between 1 and 50. Drumlin delimitation rates with values up to 50% are in line with the success of manual interpretations. Synthetic DEMs are well-suited for assessing landform quantification methods such as MRS, since subjectivity in the reference data is avoided which increases the reliability, validity and applicability of results.

Cross-scale management strategies for optimal control of trees invading from source plantations

Biological invasion by non-native tree species can transform landscapes, and as a consequence, has received growing attention from researchers and managers alike. This problem is driven primarily by the naturalisation and invasion of tree species escaping from cultivation or forestry plantations. Furthermore, these invasions can be strongly influenced by the land-use matrix of the surrounding region, specific management of the source populations, and environmental conditions that influence seed dispersal or habitat quality for the invader. A major unresolved challenge for managing tree invasions in landscapes is how management should be deployed to contain or slow the spread of invading populations from one or more sources (e.g. plantations). We develop a spatial simulation model to test: (1) how to best prioritise the control of invasive tree populations spatially to slow or contain the biological invader when habitat quality varies in the landscape, and (2) how to allocate control effort among different management units when trees spread from many source populations. We first show that to slow down spread effectively, management strategy is less important than management effort. We then identify the conditions affecting the relative performance of different management strategies. At the landscape scale, targeting peripheral stands consistently yielded the best results whereas at the regional scale, management strategies needed to account for both habitat quality and tree life-history. Overall, our findings demonstrate that knowledge of how habitat affects tree life-history stages can improve management to contain or slow tree invasions by improving the spatial match between management effort and efficacy.

Urbanization Detection by a Region Based Mixed Information Change Analysis Between Built-Up Indicators

A method for analyzing the urbanization process from multitemporal SPOT 5 panchromatic images is presented. The analysis is performed by unsupervised change detection between built-up presence indicators extracted separately from the scenes. The obtained index has an effective resolution which is coarser than the Ground Sample Distance, thus allowing a good spatial match between the indicators. Then, a local Mixed Information change indicator is employed in order to capture the non-linear temporal behaviors. A region-based approach is developed in synergy with the local Mixed Information in order to process consistently large scenes which may be affected by regional acquisition distortions. Experiments are conducted on SPOT 5 scenes acquired in 2003 and 2008 which cover a suburban area (45×45 km <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> ) of the city of Tangshan in China. The urbanization detector is validated by visual interpretation, giving an equal omission/commission probability of 10%. A comparison to linear change indicators highlights an improvement of 15% of the equal omission/commission probability.

Beamforming of sound from two-dimensional arrays using spatial matched filters.

Fully-sampled two-dimensional (2D) arrays can have two-way focusing of the ultrasound beam in both lateral directions leading to high quality, real-time three-dimensional (3D) imaging. However, fully-sampled 2D arrays with very large element counts (>16,000) are difficult to manufacture due to interconnect density and large element electrical impedance. As an alternative, row-column or crossed electrode arrays have been proposed to simplify transducer fabrication and system integration. These types of arrays consist of two one-dimensional arrays oriented perpendicular to each other. Using conventional delay-and-sum beamforming, each array performs one-way focusing in perpendicular lateral directions which yield higher sidelobe and acoustic clutter levels compared to fully-sampled 2D arrays with two-way focusing. In this paper, the use of spatial matched filters to improve focusing of row-column arrays is investigated. On receive, data from each element are first spatial match filtered in the elevation direction. After summation, the data are filtered again in the azimuth direction. Beam widths comparable to one-way focusing are seen in azimuth and beam widths comparable to two-way focusing are achieved in elevation. 3D beam patterns from computer simulation results using a 7.5 MHz 128 × 128 row-column array are shown with comparison to a fully sampled 2D array.

High resolution mapping of CO(1–0) in NGC 6240

We present high spatial resolution CO(1-0) mapping of the luminous infrared galaxy NGC6240 obtained with the IRAM - Plateau de Bure Interferometer. This source is a well-known early-stage merging system hosting two AGN. We find a broad CO(1-0) line profile, with maximum velocity 800 km/s and FWZI=1400 km/s, and displaying several kinematic components, revealing the complexity of the gas dynamics in this system. We detect a blueshifted CO emission with velocity in the range -200 and -500 km/s, peaked around the southern AGN, at the same position where the H2 outflow is located, and with a mass loss rate of ~500 Msun/yr. We interpret this blueshifted component as a outflow, originating from the southern nucleus. The spatial and spectral match strongly suggests that the CO outflow is connected to the H2 superwind located around the southern nucleus, and to the large scale CO outflow, with similar velocities, extended on scales of 10 kpc. The large mass loading factor (dM/dt /SFR ~ 10) of the molecular gas suggests that the outflow is likely driven by both SNa winds and the radiation of the southern AGN. We discovered a nuclear, redshifted CO emission peaking in the mid point of the two nuclei, as it is the case for the CO emission at the systemic velocity. The large velocity dispersion, which reaches its maximum (~500 Km/s) in the mid point between the two nuclei, suggests that the gas might be highly turbulent in this region, although the presence of an unresolved rotation component cannot be ruled out.

Josephson-like currents in graphene for arbitrary time-dependent potential barriers

From the exact solution of the Dirac-Weyl equation we find unusual currents j y running in y-direction parallel to a time-dependent scalar potential barrier W(x, t) placed upon a monolayer of graphene, even for vanishing momentum component p y . In their sine-like dependence on the phase difference of wave functions, describing left and right moving Dirac fermions, these currents resemble Josephson currents in superconductors, including the occurance of Shapiro steps at certain frequencies of potential oscillations. The Josephson-like currents are calculated for several specific time-dependent barriers. A novel type of resonance is discovered when, accounting for the Fermi velocity, temporal and spatial frequencies match.

Computational investigation of interaction mechanisms between juglone and influenza virus surface glycoproteins

Surface glycoproteins of influenza virus [haemagglutinin (HA) and neuraminidase (NA)] are vital target proteins in current rational drug designs. Here, the molecular recognitions between juglone and A/H5N1 influenza virus membrane glycoproteins were studied through flexible docking and molecular dynamic simulations. The results revealed that juglone has the binding specificity to HA (H5) and NA (N1), especially the spatial match of 2-cyclohexene-1,4-dione ring. N1 rather than H5 protein is responsible for the binding, with the interaction energies of − 72.48 and − 41.91 kcal mol− 1, respectively. The residues Arg152, Arg156, Glu276, Glu277 and Arg292 of N1 protein had important roles during the binding process. Compared with other NA inhibitors, juglone is a potential source of anti-influenza ingredients, with better interaction energy and relatively smaller size. In addition, this work also pointed out how to effectively modify the functional groups of juglone. We hope that the results will aid our understanding of recognitions involving influenza surface glycoproteins with the phenolic compounds and warrant the experimental aspects to design novel anti-influenza drugs.

A shape analysis and template matching of building features by the Fourier transform method

Shape cognition and representation play an important role in spatial analysis because shape contains some characteristics of geographic phenomena that can be mined to discover hidden geographic principles. As a difficult cognition problem, the shape representation problem in GIS field has the properties of abstraction, indetermination and symbolization. How to use a model to represent shape cognition in our mental world and how to use a single number to compute the shape measure are interesting questions. In the image processing domain, there are many shape measure methods, but there are few proposals for corresponding vector data. This study aims to build a polygon shape measure and offers a Fourier transform-based method to compute the degree of shape similarity. The procedure first represents the boundary of the vector polygon shape as a periodic function, which is expanded in a Fourier descriptor series, and then, it obtains a set of coefficients that capture the shape information. Through the experiment on spatial shape match and shape query, the study shows that Fourier transform-based shape identification and template matching is consistent with human cognition.

Why people use their cars while the built environment imposes cycling

Residing in a high-density, diverse, and accessible neighborhood tends to be associated with less car use, more public transport, and more cycling and walking. However, this does not hold for all people because of differences in personal perceptions and preferences. This paper, therefore, analyzes spatial (mis)match, or the correspondence between perceptions of someone’s residence and the objectively measured spatial characteristics of that residence. Based on a sample for Flanders, Belgium, we found that people tend to overrate the urbanized character of their residence. Among urbanites, (mis)matched spatial perceptions do not influence mode choice. Mode choices remain mainly influenced by urban characteristics and not by personal perceptions as such. However, the influence of spatial (mis)match becomes more important among rural dwellers and, especially, suburbanites. The travel consequences of (mis)matched spatial perceptions thus clearly depend on the residential neighborhood type.

Determining Irrigated Areas and Quantifying Blue Water Use in Europe Using Remote Sensing Meteosat Second Generation (MSG) products and Global Land Data Assimilation System (GLDAS) Data

In this paper, we propose an innovative method for identifying irrigated areas and quantifying the blue evapotranspiration (ETb), or irrigation water evapotranspired from the field. The method compares actual ET (ETactual), or crop water use, values from the Global Land Data Assimilation System (GLDAS) and remote sensing based ETactual estimates obtained from Meteosat Second Generation (MSG) satellites. Since GLDAS simulations do not account for extra water supply due to irrigation, it is expected that they underestimate ETactual during the cropping season in irrigated areas. However, remote sensing techniques based on the energy balance are able to observe the total ETactual. In order to isolate irrigation effects from other fluctuations that may lead to discrepancies between the different ETactual products, the bias between model simulations and remote sensing observations was estimated using reference targets of rainfed (non-irrigated) croplands on a daily basis in different areas across the study region (Europe). Analysis of the yearly values of ETb (irrigated area and volume obtained for croplands in Europe for 2008) showed that the method identified irrigation when yearly values were higher than 50 mm. The accuracy of the method was assessed by analyzing the spatial representativity of the calculated biases and evaluating the daily ETb values obtained. The irrigated areas were compared with the results provided by Siebert et al.(2007) and Thenkabail et al.(2009b), obtaining a spatial match of 47 and 72 percent, respectively, with overestimation of irrigated area on a country scale. Additional evaluation with the ETb results of Mekonnen

A system for endoscopic mechanically scanned localized proton MR and light-induced fluorescence emission spectroscopies

Molecular and near-cellular modalities offer new opportunities in assessing living tissue in situ, and multimodality approaches, which offer complementary information, may lead to improved characterization of tissue pathophysiology benefiting diagnosis and focal therapy. However, many such modalities are limited by their low penetration through tissue, which has led to minimally invasive trans-cannula approaches to place the corresponding sensors locally at the area of interest. This work presents a system for performing localized fluorescence emission and proton magnetic resonance (MR) spectroscopies via endoscopic access. The in-house developed side-firing 1.9-mm wide dual-sensor integrates a three-fiber optical sensor for fluorescence emission optical spectroscopy and a 1-mm circular radiofrequency (RF) coil for localized MR proton spectroscopy. An MR-compatible manipulator was developed for carrying and mechanically translating the dual-sensor along a linear access channel. The hardware and software control of the system allows reconfigurable synchronization of the manipulator-assisted translation of the sensor, and MR and optical data collection. The manipulator serves as the mechanical link for the three modalities and MR images, MR spectra and optical spectra are inherently co-registered to the MR scanner coordinate system. These spectra were then used to generate spatio-spectral maps of the fluorophores and proton MR-signal sources in three-compartment phantoms with optically- and MR-visible, and distinguishable, materials. These data demonstrate a good spatial match between MR images, MR spectra and optical spectra along the scanned path. In addition to basic research, such a system may have clinical applications for assessing and characterizing cancer in situ, as well as guiding focal therapies.

A DETAILED STUDY OF THE MOLECULAR AND ATOMIC GAS TOWARD THE γ-RAY SUPERNOVA REMNANT RX J1713.7–3946: SPATIAL TeV γ-RAY AND INTERSTELLAR MEDIUM GAS CORRESPONDENCE

RX J1713.7$-$3946 is the most remarkable TeV $\gamma$-ray SNR which emits $\gamma$-rays in the highest energy range. We made a new combined analysis of CO and \ion{H}{1} in the SNR and derived the total protons in the interstellar medium (ISM). We have found that the inclusion of the \ion{H}{1} gas provides a significantly better spatial match between the TeV $\gamma$-rays and ISM protons than the H$_2$ gas alone. In particular, the southeastern rim of the $\gamma$-ray shell has a counterpart only in the \ion{H}{1}. The finding shows that the ISM proton distribution is consistent with the hadronic scenario that comic ray (CR) protons react with ISM protons to produce the $\gamma$-rays. This provides another step forward for the hadronic origin of the $\gamma$-rays by offering one of the necessary conditions missing in the previous hadronic interpretations. We argue that the highly inhomogeneous distribution of the ISM protons is crucial in the origin of the $\gamma$-rays. Most of the neutral gas was likely swept up by the stellar wind of an OB star prior to the SNe to form a low-density cavity and a swept-up dense wall. The cavity explains the low-density site where the diffusive shock acceleration of charged particles takes place with suppressed thermal X-rays, whereas the CR protons can reach the target protons in the wall to produce the $\gamma$-rays. The present finding allows us to estimate the total CR proton energy to be $\sim 10^{48}$ ergs, 0.1% of the total energy of a SNe.

Analysing spatial accessibility to health care: a case study of access by different immigrant groups to primary care physicians in Toronto

This article analyses the spatial accessibility of a number of immigrant groups to linguistically diverse primary care (family) physicians in the Toronto Census Metropolitan Area (CMA). The two-step floating catchment area (2SFCA) method, a special type of gravity model, is employed to measure spatial accessibility using Network Analyst in ArcGIS 9.3. The context of this study is the predominantly publicly funded Canadian health-care system and a multicultural urban setting where both the population and the physicians are culturally and linguistically diverse. This article focuses on a total of eight ethnicities: six groups of recent immigrants – from Hong Kong, Iran, Mainland China, Pakistan, Russia and Sri Lanka; and two groups of long-standing immigrants – from Italy and Portugal. It examines the spatial (mis)match between the residential distribution of immigrant populations and the distribution of linguistically appropriate family physicians. The quantitative data analysed in this article include the physician data set from the College of Physicians and Surgeons of Ontario and geo-referenced 2006 Canadian Census data. This article highlights areas of poor accessibility and provides a comparison of the different ethnic groups. It demonstrates the use of the geographical information system (GIS) in public health research and yields important policy implications for public health planning.

A 7 mm line survey of the shocked and disrupted molecular gas towards the W28 field TeV gamma-ray sources

We present 7mm Mopra observations of the dense molecular gas towards the W28 supernova remnant (SNR) field, following a previous 12mm line survey of this region. These observations take advantage of the 7mm beam size to probe the dense and disrupted gas in the region at ~1 arcmin scales. Our observations are focused towards the north-eastern (NE) HESS J1801-233 and southern HESS J1800-240B TeV gamma-ray sources, with slightly less observations towards HESS J1800-240A & C. Using the CS (1-0) transition we reveal multiple regions of dense gas, nH2 ~10^5 cm^-3. We report the discovery of dense gas towards HESS J1800-240C, at the site of a 1720MHz OH maser. The NE molecular cloud is known to be disrupted, many 1720MHz OH masers and broad CO line emission are detected at the rim of W28. Here we reveal this shock interaction region contains generally extended clumpy CS, as well as clumpy SiO and CH3OH emission with broad line profiles. The FWHM of the molecular lines extend up to 18 km/s on the W28 side of the NE cloud. The detection of SiO towards maser clumps OH C, D, E & F provide further evidence of the shocked conditions in the NE cloud. Several other lines associated with star formation are also detected towards the southern source, notably the energetic HII complex G5.89-0.39. The spatial match of dense gas with the TeV emission further supports the CR origin for the gamma-rays. We estimate the mass of several extended dense clouds within the field and predict the TeV flux from the dense cloud components. The predicted fluxes are on the order of 10^{-14} - 10^{-13} ph/cm^2/s, which should be detectable and possibly resolved by a future TeV instrument, such as the Cherenkov Telescope Array.

A probabilistic approach to river network detection in digital elevation models

Abstract River networks are often derived from digital terrain models and are affected by uncertainty and errors of the corresponding elevation data. The analysis of the spatial distribution of the errors provides information on the confidence level of the derived networks. However indications on the most probable river network as a whole are missing. This study proposes a method to indicate which is the river network maximising the sum of the probability values along the network, given a map reporting the likelihood that a cell belongs to the network itself. The method is considering the inverse of the channel probability map as pseudo-DEM from which drainage networks are derived. A reference network is used to assess the spatial match of the extracted river networks using the Euclidean distance as simple comparison parameter. The network extracted from the inverse of the channel probability map is the closest to the reference. The use of a probabilistic approach to error modelling significantly increases the values of channel probability for extracted river networks and the spatial match with a ground reference dataset.

Sewer model development under minimum data requirements

Planning, design and operation of urban drainage systems is often based on hydraulic sewer modelling. Sewer models are also increasingly used to quantify pollution loads discharged to aquatic ecosystems (e.g. via combined sewer overflows), which ultimately allows an estimation of the ecological impact emanating from urban drainage systems. The establishment of such network models, however, requires detailed and accurate information about the sewer network structure and the connected surface area. This infrastructure data is often unavailable, confidential or available in ‘paper’ format only. The present paper outlines a novel approach to develop a hydraulic sewer model constrained by a minimum amount of data. The approach combines the application of a surface flow accumulation algorithm to a selectively manipulated Digital Elevation Model (DEM) with a routine for hydraulic network dimensioning to generate a close-to-reality sewer network ready to be implemented in a hydraulic modelling platform. The method is tested for three real-life catchments of which characteristics vary in scale, topography, state of development and network complexity. For all cases the generated network is implemented on the EPA-SWMM platform to allow hydrodynamic simulations. Model performance is assessed by (1) evaluating the spatial match of existing and generated network layout, (2) comparing the estimated hydraulic dimension with real-life infrastructure data and (3) benchmarking simulated runoff with measured data for a defined validation period. The analysis shows that the presented method is capable of reproducing the original network layout, network length and corresponding discharge rates based on little, freely available information. Further research potential is identified to improve the hydraulic dimensioning and the application to complex systems that include control structures. The presented approach is useful to estimate the scope of drainage networks including layout and design (e.g. for preliminary planning in emerging areas) to screen existing networks and to identify critical spots where more precise information is required.

Spatial match between Planktothrix rubescens and whitefish in a mesotrophic peri-alpine lake: Evidence of toxins accumulation

Lake Bourget (France) provides drinking water and is a place for professional and recreational fishing. Since the mid 1990s, the lake has been exhibiting blooms of the filamentous cyanobacterium Planktothrix rubescens. This species is able to produce microcystin-LR and RR, toxins that contaminate different fish tissues and, if concentrated in the liver, can induce fish mortality. However, data on fish exposure to these toxins in a natural environment are scare and comparisons of spatial distribution between P. rubescens and exploited fish are needed to determine whether these fish avoid or converge in zones affected by the cyanobacteria. From June to November 2009, diurnal data on P. rubescens and whitefish ( Coregonus lavaretus) spatial distributions have been monitored by hydroacoustic and BBE probe sampling. For all water samples, intracellular microcystin concentration of P. rubescens was quantified by HPLC/PDA. Furthermore, an arbitrary sample of eight whitefish captured at the moment of highest P. rubescens concentration in the lake were analyzed to investigate both the presence of this cyanobacterium in the gastrointestinal tract by optical microscopy and the possible bioaccumulation of the microcystin in their tissues by liquid chromatography–tandem mass spectrometry. Results show that P. rubescens abundance was at a maximum between the end of July and the beginning of September. During this period, P. rubescens abundance was vertically stratified with a maximum around 14–22 m, depending on the sampling station. The horizontal distributions of P. rubescens were heterogeneous at the scale of the lake. Results indicate that the presence of P. rubescens, for the observed cyanobacterial abundance, does not exert a significant pressure on the distribution pattern of the whitefish. Whitefish were present in the same areas as P. rubescens maxima during daytime, and they do not avoid or seek out the zone of high P. rubescens abundance. Filaments of P. rubescens have been observed in intestinal tracts of whitefish and the presence of microcystin-LR has been detected in their intestine and liver. Consequently, because of a direct contact between these organisms, toxins can be incorporated into whitefish by ingestion of P. rubescens filaments, leading to potential adverse effects on the health of this species.