Relaciones tróficas en el ecosistema fluvial

Capítol 19 del llibre 'Conceptos y técnicas en ecología fluvial' que es refereix a les relacions tròfiques en l'ecosistema fluvial

Catalase in fluvial biofilms: a comparison between different extraction methods and example of application in a metal-polluted river

Antioxidant enzymes are involved in important processes of cell detoxification during oxidative stress and have, therefore, been used as biomarkers in algae. Nevertheless, their limited use in fluvial biofilms may be due to the complexity of such communities. Here, a comparison between different extraction methods was performed to obtain a reliable method for catalase extraction from fluvial biofilms. Homogenization followed by glass bead disruption appeared to be the best compromise for catalase extraction. This method was then applied to a field study in a metal-polluted stream (Riou Mort, France). The most polluted sites were characterized by a catalase activity 4–6 times lower than in the low-polluted site. Results of the comparison process and its application are promising for the use of catalase activity as an early warning biomarker of toxicity using biofilms in the laboratory and in the field

Fluvial biofilms: a pertinent tool to assess β-blockers toxicity

Among increasingly used pharmaceutical products, β-blockers have been commonly reported at low concentrations in rivers and littoral waters of Europe and North America. Little is known about the toxicity of these chemicals in freshwater ecosystems while their presence may lead to chronic pollution. Hence, in this study the acute toxicity of 3 β-blockers: metoprolol, propranolol and atenolol on fluvial biofilms was assessed by using several biomarkers. Some were indicative of potential alterations in biofilm algae (photosynthetic efficiency), and others in biofilm bacteria (peptidase activity, bacterial mortality). Propranolol was the most toxic β-blocker, mostly affecting the algal photosynthetic process. The exposure to 531 μg/L of propranolol caused 85% of inhibition of photosynthesis after 24 h. Metoprolol was particularly toxic for bacteria. Though estimated No-Effect Concentrations (NEC) were similar to environmental concentrations, higher concentrations of the toxic (503 μg/L metoprolol) caused an increase of 50% in bacterial mortality. Atenolol was the least toxic of the three tested β-blockers. Effects superior to 50% were only observed at very high concentration (707 mg/L). Higher toxicity of metoprolol and propranolol might be due to better absorption within biofilms of these two chemicals. Since β-blockers are mainly found in mixtures in rivers, their differential toxicity could have potential relevant consequences on the interactions between algae and bacteria within river biofilms

Avaluació dels indicadors hidrològics a la riera del Sorreigs (Osona)

Dins el marc de la DMA, aquest projecte pretén realitzar un estudi sobre la interrelació entre la riera del Sorreigs (Osona) i els distints tributaris que hi conflueixen, així com amb les aigües subterrànies i de les fonts.

Diagnosi ambiental de la riera de Santa Coloma entre Santa Coloma de Farners i Riudarenes

A l’actualitat trobem nombrosos sistemes aquàtics alterats per diferents efectes d’origen antropogènic. Per tal d’evitar i/o disminuir aquests efectes va sorgir la Directiva Marc de l’Aigua (2000/60/CE) essent aquest un dels seus objectius. Aquest article descriu el funcionament hidrogeològic i l’estat ecològic de la riera de Santa Coloma, afluent de la Tordera (NE Catalunya), des de pràcticament el seu inici a Santa Coloma de Farners (Girona) fins a Riudarenes (Girona). S’intenta establir les possibles influències del funcionament hidrogeològic en l’estat ecològic a partir de dades piezomètriques, de cabal, fisicoquímiques i biològiques. Per aquesta última part s’han utilitzat indicadors biològics com l’índex d’hàbitat fluvial (IHF), avaluant l’hàbitat físic; l’índex de Qualitat del Bosc de Ribera (QBR), per determinar la qualitat ecològica de la zona de ribera; l’índex Biological Monitorig Working Party per a conques internes de Catalunya (BMWPC), per avaluar les diferents famílies de macroinvertebrats que hi viuen i l’índex ECOSTRIMED, una síntesi dels dos índex anteriors.

Esplendor a la Turtusa Islàmica : Comerç i navegació a la taifa de Turtusa del segle XII

Esplendor econòmica i cultural de Tortosa en el segle XII, comerç amb els cristians, navegació marítima i sobretot fluvial per l'Ebre i, finalment, paper de la comunitat jueva de la ciutat en totes aquestes facetes.

Sistemes d'Informació Geogràfica i arqueologia : el riu Llobregat i la seva relació amb el territori a l'època romana.

L'objectiu del Treball és establir una relació entre l'antic traçat del riu Llobregat al seu pas per diverses poblacions de Catalunya enclavades a la Comarca del Baix Llobregat i els jaciments arqueològics datats a l'època romana amb la perspectiva de la utilització de la via fluvial com element de transport.Per a l'anàlisi de les ubicacions de les diferents entitats geogràfiques s'utilitza una eina de programariespecífica: Sistema d'Informació Geogràfica (SIG) amb la qual es construirà el nostre sistema dereferència per extreure les conclusions oportunes.

Application of compositional data analysis to geochemical data of marine sediments

In an earlier investigation (Burger et al., 2000) five sediment cores near the RodriguesTriple Junction in the Indian Ocean were studied applying classical statistical methods(fuzzy c-means clustering, linear mixing model, principal component analysis) for theextraction of endmembers and evaluating the spatial and temporal variation ofgeochemical signals. Three main factors of sedimentation were expected by the marinegeologists: a volcano-genetic, a hydro-hydrothermal and an ultra-basic factor. Thedisplay of fuzzy membership values and/or factor scores versus depth providedconsistent results for two factors only; the ultra-basic component could not beidentified. The reason for this may be that only traditional statistical methods wereapplied, i.e. the untransformed components were used and the cosine-theta coefficient assimilarity measure.During the last decade considerable progress in compositional data analysis was madeand many case studies were published using new tools for exploratory analysis of thesedata. Therefore it makes sense to check if the application of suitable data transformations,reduction of the D-part simplex to two or three factors and visualinterpretation of the factor scores would lead to a revision of earlier results and toanswers to open questions . In this paper we follow the lines of a paper of R. Tolosana-Delgado et al. (2005) starting with a problem-oriented interpretation of the biplotscattergram, extracting compositional factors, ilr-transformation of the components andvisualization of the factor scores in a spatial context: The compositional factors will beplotted versus depth (time) of the core samples in order to facilitate the identification ofthe expected sources of the sedimentary process.Kew words: compositional data analysis, biplot, deep sea sediments

Revisiting the compositional data. Some fundamental questions and new prospects in Archaeometry and Archaeology

In this paper we examine the problem of compositional data from a different startingpoint. Chemical compositional data, as used in provenance studies on archaeologicalmaterials, will be approached from the measurement theory. The results will show, in avery intuitive way that chemical data can only be treated by using the approachdeveloped for compositional data. It will be shown that compositional data analysis is aparticular case in projective geometry, when the projective coordinates are in thepositive orthant, and they have the properties of logarithmic interval metrics. Moreover,it will be shown that this approach can be extended to a very large number ofapplications, including shape analysis. This will be exemplified with a case study inarchitecture of Early Christian churches dated back to the 5th-7th centuries AD

Exploration of geological variability and possible processes through the use of compositional data analysis: an example using scottish metamorphosed

Developments in the statistical analysis of compositional data over the last twodecades have made possible a much deeper exploration of the nature of variability,and the possible processes associated with compositional data sets from manydisciplines. In this paper we concentrate on geochemical data sets. First we explainhow hypotheses of compositional variability may be formulated within the naturalsample space, the unit simplex, including useful hypotheses of subcompositionaldiscrimination and specific perturbational change. Then we develop through standardmethodology, such as generalised likelihood ratio tests, statistical tools to allow thesystematic investigation of a complete lattice of such hypotheses. Some of these tests are simple adaptations of existing multivariate tests but others require specialconstruction. We comment on the use of graphical methods in compositional dataanalysis and on the ordination of specimens. The recent development of the conceptof compositional processes is then explained together with the necessary tools for astaying- in-the-simplex approach, namely compositional singular value decompositions. All these statistical techniques are illustrated for a substantial compositional data set, consisting of 209 major-oxide and rare-element compositions of metamorphosed limestones from the Northeast and Central Highlands of Scotland.Finally we point out a number of unresolved problems in the statistical analysis ofcompositional processes

Thermodynamics and log–contrast analysis in fluid geochemistry

There are two principal chemical concepts that are important for studying the naturalenvironment. The first one is thermodynamics, which describes whether a system is atequilibrium or can spontaneously change by chemical reactions. The second main conceptis how fast chemical reactions (kinetics or rate of chemical change) take place wheneverthey start. In this work we examine a natural system in which both thermodynamics andkinetic factors are important in determining the abundance of NH+4 , NO−2 and NO−3 insuperficial waters. Samples were collected in the Arno Basin (Tuscany, Italy), a system inwhich natural and antrophic effects both contribute to highly modify the chemical compositionof water. Thermodynamical modelling based on the reduction-oxidation reactionsinvolving the passage NH+4 -& NO−2 -& NO−3 in equilibrium conditions has allowed todetermine the Eh redox potential values able to characterise the state of each sample and,consequently, of the fluid environment from which it was drawn. Just as pH expressesthe concentration of H+ in solution, redox potential is used to express the tendency of anenvironment to receive or supply electrons. In this context, oxic environments, as thoseof river systems, are said to have a high redox potential because O2 is available as anelectron acceptor.Principles of thermodynamics and chemical kinetics allow to obtain a model that oftendoes not completely describe the reality of natural systems. Chemical reactions may indeedfail to achieve equilibrium because the products escape from the site of the rectionor because reactions involving the trasformation are very slow, so that non-equilibriumconditions exist for long periods. Moreover, reaction rates can be sensitive to poorly understoodcatalytic effects or to surface effects, while variables as concentration (a largenumber of chemical species can coexist and interact concurrently), temperature and pressurecan have large gradients in natural systems. By taking into account this, data of 91water samples have been modelled by using statistical methodologies for compositionaldata. The application of log–contrast analysis has allowed to obtain statistical parametersto be correlated with the calculated Eh values. In this way, natural conditions in whichchemical equilibrium is hypothesised, as well as underlying fast reactions, are comparedwith those described by a stochastic approach

Inference of distributional parameters from compositional samples containing nondetects

Low concentrations of elements in geochemical analyses have the peculiarity of beingcompositional data and, for a given level of significance, are likely to be beyond thecapabilities of laboratories to distinguish between minute concentrations and completeabsence, thus preventing laboratories from reporting extremely low concentrations of theanalyte. Instead, what is reported is the detection limit, which is the minimumconcentration that conclusively differentiates between presence and absence of theelement. A spatially distributed exhaustive sample is employed in this study to generateunbiased sub-samples, which are further censored to observe the effect that differentdetection limits and sample sizes have on the inference of population distributionsstarting from geochemical analyses having specimens below detection limit (nondetects).The isometric logratio transformation is used to convert the compositional data in thesimplex to samples in real space, thus allowing the practitioner to properly borrow fromthe large source of statistical techniques valid only in real space. The bootstrap method isused to numerically investigate the reliability of inferring several distributionalparameters employing different forms of imputation for the censored data. The casestudy illustrates that, in general, best results are obtained when imputations are madeusing the distribution best fitting the readings above detection limit and exposes theproblems of other more widely used practices. When the sample is spatially correlated, itis necessary to combine the bootstrap with stochastic simulation

Diagnosi i propostes de millora dels trams urbans dels rius de la ciutat de Girona

Estudi dels quatre rius de la ciutat de Girona, Ter, Onyar, Güell i Galligants, realitzant una diagnosi ambiental i posteriors propostes de millora

Diagnosi ambiental del a riera d’Osor

Amb aquesta diagnosi es plantegen quatre objectius: determinar l’origen de la contaminació per metalls pesant, diagnosi de l’estat actual en relació a la contaminació, relacionant tots els components que formen l’ecosistema fluvial, valorar la percepció social sobre l’estat de la riera i proporcionar una visió global i integradora amb la qual es puguin preveure situacions futures i conduir possibles mesures de gestió.

Ecologia del tram final del riu Ebre: la comunitat de macròfits i macroinvertebrats associats

Durant els últims anys al tram final del riu Ebre s’han produit canvis molt importants a l’ecosistema fluvial: l’augment de la transparència de l’aigua ha comportat una proliferació massiva de macròfits que ha provocat canvis en l’estructura tròfica i en la composició de les comunitats biològiques, representant un greu perill per espècies amenaçades com Margaritifera auricularia. A més del problema ecològic, els macròfits estan provocant molts problemes socio-econòmics perjudicant les captacions d’aigua (centrals nuclears, hidroelèctriques i regadius), creant problemes per a la navegació fluvial, i afavorint la proliferació d’espècies molestes com la mosca negra (Simulium erythrocephalum). Entre les diferents causes que podrien explicar aquests canvis en l’ecosistema hi ha: la disminució del fòsfor dissolt, la regularització i la disminució de cabals, i l’aparició d’espècies introduides com el musclo zebra. Segurament es tractarà d’un efecte combinat de les diferents causes però és necessari analitzar-les per tal de conèixer quines tenen més incidència i així, poder proposar mesures de gestió per als problemes ecològics que pateix el tram final de l’Ebre. Al present projecte de tesi (inclós en el projecte d’I+D: efectes de la millora de la qualitat de l'aigua i de l'alteració del règim de cabals sobre les comunitats biològiques del tram final del riu Ebre) s’estudiarà la comunitat de macròfits i macroinvertebrats associats per tal de determinar el paper que tenen en el canvis que s’han produit al riu durant els últims anys.