Two distinct plant respiratory physiotypes might exist which correspond to fast-growing and slow-growing species

The origin of the carbon atoms in CO2 respired by leaves in the dark of several plant species has been studied using 13C/12C stable isotopes. This study was conducted using an open gas exchange system for isotope labeling that was coupled to an elemental analyser and further linked to an isotope ratio mass spectrometer (EA-IRMS) or coupled to a gas chromatography-combustion-isotope ratio mass spectrometer (GC-C-IRMS). We demonstrate here that the carbon, which is recently assimilated during photosynthesis, accounts for nearly ca. 50% of the carbon in the CO2 lost through dark respiration after illumination in fast-growing and cultivated plants and trees and, accounts for only ca. 10% in slow-growing plants. Moreover, our study shows that fast- growing plants, which had the largest percentages of newly fixed carbon of leaf-respired CO2 , were also those with the largest shoot/root ratios, whereas slow-growing plants showed the lowest shoot/root values.

A note on the periodic orbits and topological entropy of graph maps

This paper deals with the relationship between the periodic orbits of continuous maps on graphs and the topological entropy of the map. We show that the topological entropy of a graph map can be approximated by the entropy of its periodic orbits.

Estudi del jardí romàntic del Palau Novella, Parc del Garraf

Durant molts anys, els jardins del Palau Novella han patit una sèrie de canvis que han desembocat en el seu abandonament i degradació. La falta de gestió i manteniment ha comportat l’aparició de fitopatologies en una part important dels individus, així com la colonització d’espècies invasores, tant de flora com de faun,a o la degradació dels elements arquitectònics. D’altra banda, la seva importància com a connector o la presència d’arbres i comunitats d’especial interès, li atorguen a la zona un gran valor a nivell ecològic. Per tant, tant per a la seva protecció, com per a la millora de les condicions actuals de degradació, seran necessàries una sèrie de mesures correctores que ajudin a restaurar i conservar la zona, de manera que, l’objectiu principal d’aquest estudi, serà l’avaluació de tots els factors, tant positius com negatius, per tal de poder elaborar les mesures esmentades.

Fauna silvestre del Parc del Garraf. Afectacions al sector primari

El Parc del Garraf (PG) ha estat tradicionalment una important zona agrícola, encara que actualment és molt reduïda (representa el 3% del total de la superfície del parc) i està repartida entre unes poques masies. Aquesta activitat humana conviu amb la fauna silvestre de la zona, que en alimentar-se parcialment dels cultius (cereal, vinya, oliveres, arbres fruiters i hortalisses), hi causa diversos impactes. És el cas de diverses aus, com ara la garsa (Pica Pica) i el pardal (Passer domesticus), i també d’alguns mamífers com el porc senglar (Sus scrofa). Hem observat que l’impacte produït per les aus i el porc senglar (Sus scrofa) és molt petit, el que pot ser degut a dos motius principals: possiblement per una elevada producció de fruits salvatges, esdevenint aquest aliment suficient per a les aus; i la baixa densitat poblacional de porc senglar (Sus scrofa) al parc. Els impactes observats presenten una alta variabilitat i depenen de l’època de l’any en que ens trobem. Per tant, cal fer-ne un seguiment més acurat on s’impliquin administració i pagesos per a millorar el coneixement de l’impacte de la fauna salvatge.

Estudi dels arbres i conjunts remarcables del municipi de Sitges

Aquest estudi s’ha realitzat amb l’objectiu d’aprofundir en el coneixement dels arbres i conjunts remarcables del municipi de Sitges, a la comarca del Garraf. S’ha fet un inventari dels arbres i conjunts estudiats, tot diferenciant els situats en la zona urbana (urbans) i els que es troben fora d’aquest àmbit (no urbans), i s’ha analitzat el seu estat de conservació i importància socioambiental. També se n’ha elaborat una base cartogràfica amb la seva localització. S’ha donat continuïtat a la metodologia aplicada en treballs anteriors sobre arbres monumentals, notables i singulars, amb algunes variants. S’han inventariat trenta-nou arbres i conjunts remarcables (pertanyents a vint-i-cinc espècies), dels quals trenta són urbans i nou són no urbans. Tots ells, excepte un exemplar considerat notable, s’han qualificat com a singulars. A banda, s’han inventariat tres conjunts remarcables sense contenir cap exemplar remarcable, els quals s’han treballat a part. Durant el treball de camp, realitzat a la tardor i al hivern de 2011 a Sitges, s’han pres dades de trenta-cinc variables sobre els arbres inventariats, les quals s’han sintetitzat en sis paràmetres qualitatius indicatius de l’estat de conservació i importància socioambiental dels arbres i conjunts inventariats. Aquesta simplificació ha permès fer un estudi comparatiu dels arbres, extreure conclusions i elaborar propostes de millora per a vetllar per a la seva conservació. El present estudi posa de manifest la necessitat de declarar els arbres inventariats d’interès local o comarcal d’acord amb les figures legislatives de protecció de l’administració competent, posant èmfasi en la incorporació a l’existent Catàleg d’Arbres Singulars de Sitges dels arbres no urbans inventariats i d’altres urbans que no hi són presents.

MisListas : aplicació per a la creació de llistes

El projecte "MisListas" està dissenyat especialment per a usuaris domèstics, permetent a aquests construir llistes amb diferents continguts com: Llista de la compra, de tasques, cites, aniversaris, reunions, arbres genealògics i en definitiva qualsevol tipus de llista jeràrquica que desitgin guardar nostra aplicació.

Grado de impacto en el suelo y la vegetación en áreas de uso público del Parque Nacional de Tierra del Fuego (Argentina)

En los últimos años, el uso turístico de las áreas protegidas ha aumentado considerablemente, y con él, el grado de impacto. Es por este motivo que se requieren medidas de gestión adecuadas para identificar, conocer y evaluar estos impactos potenciales y así poder actuar ofreciendo un uso recreativo de estas áreas a la vez que se asegura su conservación. El objetivo del presente trabajo fue establecer el grado de impacto que sufre la vegetaciòn y el suelo del Parque Nacional de Tierra del Fuego en las zonas de acampada y compararlas con las áreas adyacentes, como controles. Asimismo, se buscó establecer cuales son los indicadores de impacto de mayor relevancia para poder ser usados como herramientas de gestión. La evaluación se efectuó mediante el muestreo de 40 parcelas, transectas y intertransectas en donde se analizaron variables vegetacionales (cobertura arbórea, arbustiva y herbácea, porcentaje de suelo desnudo, daño en árboles y arbustos, y presencia de raíces expuestas) y del suelo (pH, materia orgánica, densidad aparente y humedad). El grado de impacto se estableció numéricamente con una fórmula matemática en donde se seleccionaron los parámetros evaluados y se corrigieron con factores de correción, dando un impacto clasificado como “compatible” en el área de Río Pipo y “moderado” en el área de Laguna Verde. También se formularon propuestas de manejo para prevenir y/o minimizar los impactos producidos en las zonas de camping.

A Robust Multiple Feature Approach To Endpoint Detection In Car Environment Based On Advanced Classifiers

In this paper we propose an endpoint detection system based on the use of several features extracted from each speech frame, followed by a robust classifier (i.e Adaboost and Bagging of decision trees, and a multilayer perceptron) and a finite state automata (FSA). We present results for four different classifiers. The FSA module consisted of a 4-state decision logic that filtered false alarms and false positives. We compare the use of four different classifiers in this task. The look ahead of the method that we propose was of 7 frames, which are the number of frames that maximized the accuracy of the system. The system was tested with real signals recorded inside a car, with signal to noise ratio that ranged from 6 dB to 30dB. Finally we present experimental results demonstrating that the system yields robust endpoint detection.

PhylomeDB v4: zooming into the plurality of evolutionary histories of a genome

Phylogenetic trees representing the evolutionary relationships of homologous genes are the entry point for many evolutionary analyses. For instance, the use of a phylogenetic tree can aid in the inference of orthology and paralogy relationships, and in the detection of relevant evolutionary events such as gene family expansions and contractions, horizontal gene transfer, recombination or incomplete lineage sorting. Similarly, given the plurality of evolutionary histories among genes encoded in a given genome, there is a need for the combined analysis of genome-wide collections of phylogenetic trees (phylomes). Here, we introduce a new release of PhylomeDB (http://phylomedb.org), a public repository of phylomes. Currently, PhylomeDB hosts 120 public phylomes, comprising >1.5 million maximum likelihood trees and multiple sequence alignments. In the current release, phylogenetic trees are annotated with taxonomic, protein-domain arrangement, functional and evolutionary information. PhylomeDB is also a major source for phylogeny-based predictions of orthology and paralogy, covering >10 million proteins across 1059 sequenced species. Here we describe newly implemented PhylomeDB features, and discuss a benchmark of the orthology predictions provided by the database, the impact of proteome updates and the use of the phylome approach in the analysis of newly sequenced genomes and transcriptomes.

Real-time tree-foliage surface estimation using a ground laser scanner

The optimization of most pesticide and fertilizer applications is based on overall grove conditions. In this work we measurements. Recently, Wei [9, 10] used a terrestrial propose a measurement system based on a ground laser scanner to LIDAR to measure tree height, width and volume developing estimate the volume of the trees and then extrapolate their foliage a set of experiments to evaluate the repeatability and surface in real-time. Tests with pear trees demonstrated that the accuracy of the measurements, obtaining a coefficient of relation between the volume and the foliage can be interpreted as variation of 5.4% and a relative error of 4.4% in the linear with a coefficient of correlation (R) of 0.81 and the foliar estimation of the volume but without real-time capabilities. surface can be estimated with an average error less than 5 %.

Fenología, dinámica poblacional y daños de Eucallipterus tiliae Linnaeus (Horn., Aphididae) en tilos ornamentales de la ciudad de Lleida

La fenología y la dinámica poblacional del pulgón del tilo Eucallipterus tiliae Linnaeus han sido estudiadas en parques y jardines de la ciudad de Lleida durante el periodo 2002-2003 en árboles no tratados y en árboles sometidos a tratamiento químico convencional. Los primeros individuos aparecen a comienzos de primavera (abril) y las densidades de población crecen exponencialmente hasta alcanzarse un máximo a finales de mayo. Inmediatamente después del máximo poblacional se produce un descenso brusco de la población hasta la práctica desaparición de los pulgones del árbol. En otoño se detectan machos y hembras ovíparas que hacen la puesta. Esta especie pasa el invierno en forma de huevo. Durante el periodo de mayor abundancia, los pulgones produjeron gran cantidad de melaza causando daños estéticos a los árboles y molestias a los ciudadanos. Estos efectos negativos del pulgón se produjeron a pesar de la estrategia de control utilizada: la aplicación sistemática de insecticidas. El análisis de esta estrategia mostró un número excesivo de tratamientos y una falta de sincronización con la dinámica del pulgón, lo que pone de manifiesto que la estrategia de control de E. tiliae en Lleida puede ser mejorada. Se registró la presencia de diversos enemigos naturales asociados a E. tiliae, principalmente coccinélidos y parasitoides (Hym., Braconidae, Aphidiinae). Sin embargo, no parece que la abundancia de éstos fuera la suficiente para mantener las poblaciones de pulgones por debajo de los niveles considerados molestos.

Using vegetation to characterize the avalanche to Canal del Roc Roig, Vall de Núria (Eastern Pyrenees, Spain)

Avalanche hazard maps of high accuracy are difficult to produce. For land-use planning and management purposes, a good knowledge of extreme run-out zones and frequencies of avalanches is required. In the present work, vegetation recognition (especially focused on Pinus uncinata trees) and dendrochronological techniques are used to characterize avalanches that have occurred in historical times, helping to determine both the extent of large or extreme avalanches and their occurrence in time. Vegetation was studied at the Canal del Roc Roig (eastern Pyrenees, Spain) avalanche path. The avalanches descending this path affect the railway that reaches the Vall de Núria resort and the run-up to the opposite slope. During winter 1996, two important avalanches affecting this path were well documented. These are compared with the results of the vegetation study, consisting of an inventory of flora, the recording of vegetation damages along eight transverse profiles at different altitudes on the path and a dendrochronological sampling campaign. The data obtained contributed to a characterization of the predominant snow accumulation in the starting zone, the 1996 avalanches and the range of frequencies of large avalanches. Also, traces of avalanches that increase the path mapped in the avalanche paths map published by the Institut Cartogràfic de Catalunya in 2000 were identified, improving the initial existing information.

Using vegetation to characterize the avalanche to Canal del Roc Roig, Vall de Núria (Eastern Pyrenees, Spain)

Avalanche hazard maps of high accuracy are difficult to produce. For land-use planning and management purposes, a good knowledge of extreme run-out zones and frequencies of avalanches is required. In the present work, vegetation recognition (especially focused on Pinus uncinata trees) and dendrochronological techniques are used to characterize avalanches that have occurred in historical times, helping to determine both the extent of large or extreme avalanches and their occurrence in time. Vegetation was studied at the Canal del Roc Roig (eastern Pyrenees, Spain) avalanche path. The avalanches descending this path affect the railway that reaches the Vall de Núria resort and the run-up to the opposite slope. During winter 1996, two important avalanches affecting this path were well documented. These are compared with the results of the vegetation study, consisting of an inventory of flora, the recording of vegetation damages along eight transverse profiles at different altitudes on the path and a dendrochronological sampling campaign. The data obtained contributed to a characterization of the predominant snow accumulation in the starting zone, the 1996 avalanches and the range of frequencies of large avalanches. Also, traces of avalanches that increase the path mapped in the avalanche paths map published by the Institut Cartogràfic de Catalunya in 2000 were identified, improving the initial existing information.

ICA as a preprocessing technique for classification

In this paper we propose the use of the independent component analysis (ICA) [1] technique for improving the classification rate of decision trees and multilayer perceptrons [2], [3]. The use of an ICA for the preprocessing stage, makes the structure of both classifiers simpler, and therefore improves the generalization properties. The hypothesis behind the proposed preprocessing is that an ICA analysis will transform the feature space into a space where the components are independent, and aligned to the axes and therefore will be more adapted to the way that a decision tree is constructed. Also the inference of the weights of a multilayer perceptron will be much easier because the gradient search in the weight space will follow independent trajectories. The result is that classifiers are less complex and on some databases the error rate is lower. This idea is also applicable to regression

Classifier combination for in vivo magnetic resonance spectra of brain tumours

In this paper we present a multi-stage classifier for magnetic resonance spectra of human brain tumours which is being developed as part of a decision support system for radiologists. The basic idea is to decompose a complex classification scheme into a sequence of classifiers, each specialising in different classes of tumours and trying to reproducepart of the WHO classification hierarchy. Each stage uses a particular set of classification features, which are selected using a combination of classical statistical analysis, splitting performance and previous knowledge.Classifiers with different behaviour are combined using a simple voting scheme in order to extract different error patterns: LDA, decision trees and the k-NN classifier. A special label named "unknown¿ is used when the outcomes of the different classifiers disagree. Cascading is alsoused to incorporate class distances computed using LDA into decision trees. Both cascading and voting are effective tools to improve classification accuracy. Experiments also show that it is possible to extract useful information from the classification process itself in order to helpusers (clinicians and radiologists) to make more accurate predictions and reduce the number of possible classification mistakes.