A model of road effect using line integrals and a test of the performance of two new road indices using the distribution of small mammals in an Atlantic Forest landscape

Effects of roads on wildlife and its habitat have been measured using metrics, such as the nearest road distance, road density, and effective mesh size. In this work we introduce two new indices: (1) Integral Road Effect (IRE), which measured the sum effects of points in a road at a fixed point in the forest; and (2) Average Value of the Infinitesimal Road Effect (AVIRE), which measured the average of the effects of roads at this point. IRE is formally defined as the line integral of a special function (the infinitesimal road effect) along the curves that model the roads, whereas AVIRE is the quotient of IRE by the length of the roads. Combining tools of ArcGIS software with a numerical algorithm, we calculated these and other road and habitat cover indices in a sample of points in a human-modified landscape in the Brazilian Atlantic Forest, where data on the abundance of two groups of small mammals (forest specialists and habitat generalists) were collected in the field. We then compared through the Akaike Information Criterion (AIC) a set of candidate regression models to explain the variation in small mammal abundance, including models with our two new road indices (AVIRE and IRE) or models with other road effect indices (nearest road distance, mesh size, and road density), and reference models (containing only habitat indices, or only the intercept without the effect of any variable). Compared to other road effect indices, AVIRE showed the best performance to explain abundance of forest specialist species, whereas the nearest road distance obtained the best performance to generalist species. AVIRE and habitat together were included in the best model for both small mammal groups, that is, higher abundance of specialist and generalist small mammals occurred where there is lower average road effect (less AVIRE) and more habitat. Moreover, AVIRE was not significantly correlated with habitat cover of specialists and generalists differing from the other road effect indices, except mesh size, which allows for separating the effect of roads from the effect of habitat on small mammal communities. We suggest that the proposed indices and GIS procedures could also be useful to describe other spatial ecological phenomena, such as edge effect in habitat fragments. (C) 2012 Elsevier B.V. All rights reserved.

Turing patterns in the chlorine dioxide-iodine-malonic acid reaction with square spatial periodic forcing

We use the photosensitive chlorine dioxide-iodine-malonic acid reaction-diffusion system to study wavenumber locking of Turing patterns to two-dimensional "square" spatial forcing, implemented as orthogonal sets of bright bands projected onto the reaction medium. Various resonant structures emerge in a broad range of forcing wavelengths and amplitudes, including square lattices and superlattices, one-dimensional stripe patterns and oblique rectangular patterns. Numerical simulations using a model that incorporates additive two-dimensional spatially periodic forcing reproduce well the experimental observations.

The SB-index and the HSB-index: efficient indices for spatial data warehouses

Spatial data warehouses (SDWs) allow for spatial analysis together with analytical multidimensional queries over huge volumes of data. The challenge is to retrieve data related to ad hoc spatial query windows according to spatial predicates, avoiding the high cost of joining large tables. Therefore, mechanisms to provide efficient query processing over SDWs are essential. In this paper, we propose two efficient indices for SDW: the SB-index and the HSB-index. The proposed indices share the following characteristics. They enable multidimensional queries with spatial predicate for SDW and also support predefined spatial hierarchies. Furthermore, they compute the spatial predicate and transform it into a conventional one, which can be evaluated together with other conventional predicates by accessing a star-join Bitmap index. While the SB-index has a sequential data structure, the HSB-index uses a hierarchical data structure to enable spatial objects clustering and a specialized buffer-pool to decrease the number of disk accesses. The advantages of the SB-index and the HSB-index over the DBMS resources for SDW indexing (i.e. star-join computation and materialized views) were investigated through performance tests, which issued roll-up operations extended with containment and intersection range queries. The performance results showed that improvements ranged from 68% up to 99% over both the star-join computation and the materialized view. Furthermore, the proposed indices proved to be very compact, adding only less than 1% to the storage requirements. Therefore, both the SB-index and the HSB-index are excellent choices for SDW indexing. Choosing between the SB-index and the HSB-index mainly depends on the query selectivity of spatial predicates. While low query selectivity benefits the HSB-index, the SB-index provides better performance for higher query selectivity.

17 beta-Estradiol replacement in young, adult and middle-aged female ovariectomized rats promotes improvement of spatial reference memory and an antidepressant effect and alters monoamines and BDNF levels in memory- and depression-related brain areas

Clinical and experimental evidence suggest that estrogens have a major impact on cognition, presenting neurotrophic and neuroprotective actions in regions involved in such function. In opposite, some studies indicate that certain hormone therapy regimens may provoke detrimental effects over female cognitive and neurological function. Therefore, we decided to investigate how estrogen treatment would influence cognition and depression in different ages. For that matter, this study assessed the effects of chronic 17 beta-estradiol treatment over cognition and depressive-like behaviors of young (3 months old), adult (7 months old) and middle-aged (12 months old) reproductive female Wistar rats. These functions were also correlated with alterations in the serotonergic system, as well as hippocampal BDNF. 17 beta-Estradiol treatment did not influence animals' locomotor activity and exploratory behavior, but it was able to improve the performance of adult and middle-aged rats in the Morris water maze, the latter being more responsive to the treatment. Young and adult rats displayed decreased immobility time in the forced swimming test, suggesting an effect of 17 beta-estradiol also over such depressive-like behavior. This same test revealed increased swimming behavior, triggered by serotonergic pathway, in adult rats. Neurochemical evaluations indicated that 17 beta-estradiol treatment was able to increase serotonin turnover rate in the hippocampus of adult rats. Interestingly, estrogen treatment increased BDNF levels from animals of all ages. These findings support the notion that the beneficial effects of 17 beta-estradiol over spatial reference memory and depressive-like behavior are evident only when hormone therapy occurs at early ages and early stages of hormonal decline. (C) 2011 Elsevier B.V. All rights reserved.

Spatial variability of leaf nutrient contents in a drip irrigated citrus orchard

This study aimed to evaluate the spatial variability of leaf content of macro and micronutrients. The citrus plants orchard with 5 years of age, planted at regular intervals of 8 x 7 m, was managed under drip irrigation. Leaf samples were collected from each plant to be analyzed in the laboratory. Data were analyzed using the software R, version 2.5.1 Copyright (C) 2007, along with geostatistics package GeoR. All contents of macro and micronutrients studied were adjusted to normal distribution and showed spatial dependence.The best-fit models, based on the likelihood, for the macro and micronutrients were the spherical and matern. It is suggest for the macronutrients nitrogen, phosphorus, potassium, calcium, magnesium and sulfur the minimum distances between samples of 37; 58; 29; 63; 46 and 15 m respectively, while for the micronutrients boron, copper, iron, manganese and zinc, the distances suggests are 29; 9; 113; 35 and 14 m, respectively.

Long-term effects of oil pollution in mangrove forests (Baixada Santista, Southeast Brazil) detected using a GIS-based multitemporal analysis of aerial photographs

Oil spills are potential threats to the integrity of highly productive coastal wetlands, such as mangrove forests. In October 1983, a mangrove area of nearly 300 ha located on the southeastern coast of Brazil was impacted by a 3.5 million liter crude oil spill released by a broken pipeline. In order to assess the long-term effects of oil pollution on mangrove vegetation, we carried out a GIS-based multitemporal analysis of aerial photographs of the years 1962, 1994, 2000 and 2003. Photointerpretation, visual classification, class quantification, ground-truth and vegetation structure data were combined to evaluate the oil impact. Before the spill, the mangroves exhibited a homogeneous canopy and well-developed stands. More than ten years after the spill, the mangrove vegetation exhibited three distinct zones reflecting the long-term effects of the oil pollution. The most impacted zone (10.5 ha) presented dead trees, exposed substrate and recovering stands with reduced structural development. We suggest that the distinct impact and recovery zones reflect the spatial variability of oil removal rates in the mangrove forest. This study identifies the multitemporal analysis of aerial photographs as a useful tool for assessing a system's capacity for recovery and monitoring the long-term residual effects of pollutants on vegetation dynamics, thus giving support to mangrove forest management and conservation.

A complete CMOS UWB timed-array transmitter with a 3D Vivaldi antenna array for electronic high-resolution beam spatial scanning

We present a new Ultra Wide Band (UWB) Timed- Array Transmitter System with Beamforming capability for high-resolution remote acquisition of vital signals. The system consists of four identical channels, where each is formed of a serial topology with three modules: programmable delay circuit (PDC or τ), a novel UWB 5th Gaussian Derivative order pulse generator circuit (PG), and a planar Vivaldi antenna. The circuit was designed using 0.18μm CMOS standard process and the planar antenna array was designed with filmconductor on Rogers RO3206 substrate. Spice simulations results showed the pulse generation with 104 mVpp amplitude and 500 ps width. The power consumption is 543 μW, and energy consumption 0.27 pJ per pulse using a 2V power supply at a pulse repetition rate (PRR) of 100 MHz. Electromagnetic simulations results, using CST Microwave (MW) Studio 2011, showed the main lobe radiation with a gain maximum of 13.2 dB, 35.5º x 36.7º angular width, and a beam steering between 17º and -11º for azimuthal (θ) angles and 17º and -18º for elevation (φ) angles at the center frequency of 6 GHz

Análisis espacio-temporal de las praderas de Cymodocea nodosa (Ucria) Ascherson en la isla de Gran Canaria

Máster Oficial en Gestión Costera

A GIS based model for solving the planar Huff problem considering different demand distributions and forbidden regions

[EN] In this paper, we have used Geographical Information Systems (GIS) to solve the planar Huff problem considering different demand distributions and forbidden regions. Most of the papers connected with the competitive location problems consider that the demand is aggregated in a finite set of points. In other few cases, the models suppose that the demand is distributed along the feasible region according to a functional form, mainly a uniform distribution. In this case, in addition to the discrete and uniform demand distributions we have considered that the demand is represented by a population surface model, that is, a raster map where each pixel has associated a value corresponding to the population living in the area that it covers...

The use of remote sensing imagery for monitoring recovery in the aftermath of a natural disaster: the Hurricane Katrina Case

Although Recovery is often defined as the less studied and documented phase of the Emergency Management Cycle, a wide literature is available for describing characteristics and sub-phases of this process. Previous works do not allow to gain an overall perspective because of a lack of systematic consistent monitoring of recovery utilizing advanced technologies such as remote sensing and GIS technologies. Taking into consideration the key role of Remote Sensing in Response and Damage Assessment, this thesis is aimed to verify the appropriateness of such advanced monitoring techniques to detect recovery advancements over time, with close attention to the main characteristics of the study event: Hurricane Katrina storm surge. Based on multi-source, multi-sensor and multi-temporal data, the post-Katrina recovery was analysed using both a qualitative and a quantitative approach. The first phase was dedicated to the investigation of the relation between urban types, damage and recovery state, referring to geographical and technological parameters. Damage and recovery scales were proposed to review critical observations on remarkable surge- induced effects on various typologies of structures, analyzed at a per-building level. This wide-ranging investigation allowed a new understanding of the distinctive features of the recovery process. A quantitative analysis was employed to develop methodological procedures suited to recognize and monitor distribution, timing and characteristics of recovery activities in the study area. Promising results, gained by applying supervised classification algorithms to detect localization and distribution of blue tarp, have proved that this methodology may help the analyst in the detection and monitoring of recovery activities in areas that have been affected by medium damage. The study found that Mahalanobis Distance was the classifier which provided the most accurate results, in localising blue roofs with 93.7% of blue roof classified correctly and a producer accuracy of 70%. It was seen to be the classifier least sensitive to spectral signature alteration. The application of the dissimilarity textural classification to satellite imagery has demonstrated the suitability of this technique for the detection of debris distribution and for the monitoring of demolition and reconstruction activities in the study area. Linking these geographically extensive techniques with expert per-building interpretation of advanced-technology ground surveys provides a multi-faceted view of the physical recovery process. Remote sensing and GIS technologies combined to advanced ground survey approach provides extremely valuable capability in Recovery activities monitoring and may constitute a technical basis to lead aid organization and local government in the Recovery management.

Modellazione bidimensionale della propagazione nell'entroterra della inondazione da mare negli scenari dei previsti cambiamenti climatici

Le ricerche di carattere eustatico, mareografico, climatico, archeologico e geocronologico, sviluppatesi soprattutto nell’ultimo ventennio, hanno messo in evidenza che gran parte delle piane costiere italiane risulta soggetta al rischio di allagamento per ingressione marina dovuta alla risalita relativa del livello medio del mare. Tale rischio è la conseguenza dell’interazione tra la presenza di elementi antropici e fenomeni di diversa natura, spesso difficilmente discriminabili e quantificabili, caratterizzati da magnitudo e velocità molto diverse tra loro. Tra le cause preponderanti che determinano l’ingressione marina possono essere individuati alcuni fenomeni naturali, climatici e geologici, i quali risultano fortemente influenzati dalle attività umane soprattutto a partire dal XX secolo. Tra questi si individuano: - la risalita del livello del mare, principalmente come conseguenza del superamento dell’ultimo acme glaciale e dello scioglimento delle grandi calotte continentali; - la subsidenza. Vaste porzioni delle piane costiere italiane risultano soggette a fenomeni di subsidenza. In certe zone questa assume proporzioni notevoli: per la fascia costiera emiliano-romagnola si registrano ratei compresi tra 1 e 3 cm/anno. Tale subsidenza è spesso il risultato della sovrapposizione tra fenomeni naturali (neotettonica, costipamento di sedimenti, ecc.) e fenomeni indotti dall’uomo (emungimenti delle falde idriche, sfruttamento di giacimenti metaniferi, escavazione di materiali per l’edilizia, ecc.); - terreni ad elevato contenuto organico: la presenza di depositi fortemente costipabili può causare la depressione del piano di campagna come conseguenza di abbassamenti del livello della falda superficiale (per drenaggi, opere di bonifica, emungimenti), dello sviluppo dei processi di ossidazione e decomposizione nei terreni stessi, del costipamento di questi sotto il proprio peso, della carenza di nuovi apporti solidi conseguente alla diminuita frequenza delle esondazioni dei corsi d’acqua; - morfologia: tra i fattori di rischio rientra l’assetto morfologico della piana e, in particolare il tipo di costa (lidi, spiagge, cordoni dunari in smantellamento, ecc. ), la presenza di aree depresse o comunque vicine al livello del mare (fino a 1-2 m s.l.m.), le caratteristiche dei fondali antistanti (batimetria, profilo trasversale, granulometria dei sedimenti, barre sommerse, assenza di barriere biologiche, ecc.); - stato della linea di costa in termini di processi erosivi dovuti ad attività umane (urbanizzazione del litorale, prelievo inerti, costruzione di barriere, ecc.) o alle dinamiche idro-sedimentarie naturali cui risulta soggetta (correnti litoranee, apporti di materiale, ecc. ). Scopo del presente studio è quello di valutare la probabilità di ingressione del mare nel tratto costiero emiliano-romagnolo del Lido delle Nazioni, la velocità di propagazione del fronte d’onda, facendo riferimento allo schema idraulico del crollo di una diga su letto asciutto (problema di Riemann) basato sul metodo delle caratteristiche, e di modellare la propagazione dell’inondazione nell’entroterra, conseguente all’innalzamento del medio mare . Per simulare tale processo è stato utilizzato il complesso codice di calcolo bidimensionale Mike 21. La fase iniziale di tale lavoro ha comportato la raccolta ed elaborazione mediante sistema Arcgis dei dati LIDAR ed idrografici multibeam , grazie ai quali si è provveduto a ricostruire la topo-batimetria di dettaglio della zona esaminata. Nel primo capitolo è stato sviluppato il problema del cambiamento climatico globale in atto e della conseguente variazione del livello marino che, secondo quanto riportato dall’IPCC nel rapporto del 2007, dovrebbe aumentare al 2100 mediamente tra i 28 ed i 43 cm. Nel secondo e terzo capitolo è stata effettuata un’analisi bibliografica delle metodologie per la modellazione della propagazione delle onde a fronte ripido con particolare attenzione ai fenomeni di breaching delle difese rigide ed ambientali. Sono state studiate le fenomenologie che possono inficiare la stabilità dei rilevati arginali, realizzati sia in corrispondenza dei corsi d’acqua, sia in corrispondenza del mare, a discapito della protezione idraulica del territorio ovvero dell’incolumità fisica dell’uomo e dei territori in cui esso vive e produce. In un rilevato arginale, quale che sia la causa innescante la formazione di breccia, la generazione di un’onda di piena conseguente la rottura è sempre determinata da un’azione erosiva (seepage o overtopping) esercitata dall’acqua sui materiali sciolti costituenti il corpo del rilevato. Perciò gran parte dello studio in materia di brecce arginali è incentrato sulla ricostruzione di siffatti eventi di rottura. Nel quarto capitolo è stata calcolata la probabilità, in 5 anni, di avere un allagamento nella zona di interesse e la velocità di propagazione del fronte d’onda. Inoltre è stata effettuata un’analisi delle condizioni meteo marine attuali (clima ondoso, livelli del mare e correnti) al largo della costa emiliano-romagnola, le cui problematiche e linee di intervento per la difesa sono descritte nel quinto capitolo, con particolare riferimento alla costa ferrarese, oggetto negli ultimi anni di continui interventi antropici. Introdotto il sistema Gis e le sue caratteristiche, si è passati a descrivere le varie fasi che hanno permesso di avere in output il file delle coordinate x, y, z dei punti significativi della costa, indispensabili al fine della simulazione Mike 21, le cui proprietà sono sviluppate nel sesto capitolo.