Journal Article•
Environmental drivers of zooplankton variability in the coastal eastern Adriatic (Mediterranean Sea)
TL;DR: Zooplankton numerical variability primarily responded to seasonal variation in water temperature and spatial variation in salinity, but spatial distribution of the collected data showed that abundances were also linked to chemical and biological parameters generally used as descriptors of water quality.
Abstract: The objectives of this paper were to determine the main environmental drivers of zooplankton variability in coastal waters adjacent to urban areas and to evaluate the differences in zooplankton abundance and population structure in relation to chemical and biological parameters in the water column Samples were collected seasonally from May 2006 to January 2009 at 8 sampling sites in the bays and channels along the eastern Adriatic coast Zooplankton population structure showed high similarity within the investigated region, especially evident in the homogeneity of copepod community composition, where relative importance of the individual species showed characteristic high ranking of small and medium-sized taxa Zooplankton numerical variability primarily responded to seasonal variation in water temperature and spatial variation in salinity, but spatial distribution of the collected data showed that abundances were also linked to chemical and biological parameters generally used as descriptors of water quality This indicates that zooplankton community size reflects the trophic status of an area and supports the use of zooplankton studies as an auxiliary method in the evaluation of the trophic state of coastal waters
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TL;DR: In this paper, the authors provided the largest dataset ever built on the geographical and bathymetric distribution of the most relevant habitat-forming corals in the Central-Eastern Mediterranean Sea (CEM).
Abstract: In the Mediterranean, habitat-forming corals often characterize essential fish habitats. While their distribution is sufficiently known for the western basin, few data are available from the Central-Eastern Mediterranean Sea (CEM). This study fills this gap supplying the largest dataset ever built on the geographical and bathymetric distribution of the most relevant habitat-forming corals (Eunicella cavolini, Eunicella verrucosa, Eunicella singularis, Leptogorgia sarmentosa, Paramuricea clavata, Corallium rubrum and Savalia savaglia) of the CEM. Information collected from different sources such as literature, citizen science, and from the World Wide Web (WWW) was combined. Videos published on the WWW provided additional information on the presence of fishing lines and signs of damage, as well as on the distribution of purple and yellow-purple colonies of Paramuricea clavata. The study highlighted the impressive amount of information that the WWW can offer to scientists, termed here as Web Ecological Knowledge (WEK). The WEK is constantly fuelled by internauts, representing a free, refreshable, long-term exploitable reservoir of information. A quick and easy method to retrieve data from the WWW was illustrated. In addition, the distribution of corals was overlapped to marine protected areas and to the distribution of environmental conditions suitable for coralligenous habitats, fragile biogenic Mediterranean structures hosting complex assemblages in need of strict protection. The collected data allowed identifying priority areas with high species diversity and sites that are impacted by fishing activities. Supplied data can correctly address conservation and restoration policies in the CEM, adding an important contribution to ecosystem-based marine spatial planning.
28 citations
TL;DR: The zooplankton community was analyzed in ten Adriatic ports as part of the port biological baseline surveys carried out within the framework of the BALMAS project and recorded a total of 76 indigenous copepod species and five NIS, among which Parvocalanus crassirostris detected in Šibenik and Rijeka ports and Oithona davisae in Venice port, are new for the AdRIatic.
24 citations
TL;DR: Differences in the abundance and species composition of diatoms found between the materials point to the substrates’ physical and chemical characteristics as a major influence on the final settling of di atoms.
Abstract: The settling of diatoms as fouling organisms on a certain substrate is greatly influenced by substrate characteristics and the preferences of a diatom community and diatom species. A distinction among substrates can be made by analysing the specific abundance and composition of diatoms on different substrates. In this study, 11 different artificial substrates were exposed to a marine environment for a period of 30 days. Abundance and taxonomic composition of periphytic diatoms was determined on each of the substrates and on shoots of the marine seagrass Posidonia oceanica . The aim was to compare diatom community structure on different newly colonized surfaces. On all surfaces examined, periphytic diatoms were the pioneering organisms with differences in quantitative and qualitative composition on the different substrates. Taxonomic analysis of diatom communities on the substrates examined revealed 41 diatom taxa, with the dominant genera Cylindrotheca , Amphora , Nitzschia , Cocconeis and Navicula . Given that all the examined artificial substrates were solid materials, differences in the abundance and species composition of diatoms found between the materials point to the substrates’ physical and chemical characteristics as a major influence on the final settling of diatoms. Knowledge from investigating the settlement of fouling organisms on anthropogenic substrates can have future use in management of waste materials that end up in the marine environment.
18 citations
Cites background from "Environmental drivers of zooplankto..."
...The experiment was carried out in the Puntamika peninsula near Zadar, Croatia, coastal area of the Central Adriatic Sea (Fig....
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...74 (2), 2015 377 Key words: Adriatic Sea, anthropogenic materials, artifi cial substrates, diatoms, fouling, marine litter, periphyton...
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...BURIĆ, Z., CAPUT, K., VILIČIĆ, D. 2004: Distribution of the diatom Cocconeis scutellum in the karstic estuary (Zrmanja, eastern Adriatic Sea)....
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...TOTTI, C., CUCCHIARI, E., ROMAGNOLI, T., PENNA, A., 2007: Bloom of Ostreopsis ovata in the Conero Riviera (NW Adriatic Sea)....
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...Recent periphytic studies in the Adriatic Sea have focused on epiphytic diatoms of the northern Adriatic (MUNDA 2005) and the toxic bloom of benthic dinofl agellates Ostreopsis (TOTTI et al. 2007, PFANNKUCHEN et al. 2012), whilst in the middle Adriatic research is focused on the ecology and taxonomy of periphytic diatoms in the estuary of rivers, like the River Zrmanja (BURIĆ et al. 2004, CAPUT et al. 2005)....
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TL;DR: Differences in population dynamics between the two parasites are congruent with differences in the prey composition of sardine and anchovy, reflecting fine-tuned interactions in the trophic web between parasites and intermediate or paratenic hosts included in the sardines and anchovies diet.
Abstract: We examined the stomach contents of two of the most economically and ecologically important small pelagic fish species, the sardine, Sardina pilchardus and the anchovy, Engraulis encrasicolus , obtained monthly from commercial purse-seine catches operating on Croatian fishing grounds during a one-year period (January–December, 2011). Both species generally showed a similar diet, with copepod and decapod larvae as dominant prey groups. The composition of anchovy and sardine stomach contents was not size- or sex-related, but throughout the year, a significant difference in diet composition was observed for each species as well as between species. Two gastrointerstinal helminths; the digenean Parahemiurus merus and nematode Hysterothylacium aduncum , were recorded during the stomach content analysis. Differences in population dynamics between the two parasites are congruent with differences in the prey composition of sardine and anchovy, reflecting fine-tuned interactions in the trophic web between parasites and intermediate or paratenic hosts included in the sardine and anchovy diet.
15 citations
TL;DR: In this paper, the physical, chemical and biological parameters during the summer monsoon particularly when the rivers of India are in flood condition and discharge large quantities of fresh water into the Bay of Bengal.
13 citations
References
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27 Jan 1999
TL;DR: The Automatic Determination of Dissolved Organic Carbon (DOC) by Wet Chemical Oxidation is described in this paper, along with the results of HPLC analysis of photosynthetic pigments.
Abstract: Sampling and Sampling Techniques. Filtration and Storage. Determination of Salinity. Determination of Oxygen. Determination of Hydrogen Sulphide. Determination of Thiosulphate and Sulfur. Determination of pH. Determination of Alkalinity and Total Carbonate. Determination of pCO2. Determination of Nutrients. Determination of Major Constituents. Determination of Trace Elements. Determination of Natural Radioactive Tracers. In Situ Registration of pH and Oxygen. Determination of Dissolved Organic Carbon (DOC) by High Temperature Combustion. The Automatic Determination of Dissolved Organic Carbon (DOC) by Wet Chemical Oxidation. Determination of Particulate Organic Carbon and Nitrogen. Preparation of Lipophilic Organic Seawater Concentrates. Adsorption Chromatography of Organic Seawater Concentrates. Clean-up of Organic Seawater Concentrates by HPLC. Fluorimetric Determination of Dissolved Petroleum Residues. Determination of Selected Organochlorines in Seawater. Determination of Volatile Halocarbons in Seawater. Determination of Dimethlysulfide. Determination of Marine Humics. Determination of Amino Acids and Carbohydrates. HPLC Analysis of Photosynthetic Pigments.
7,247 citations
"Environmental drivers of zooplankto..." refers methods in this paper
...Oxygen concentrations were determined by the Winkler method (GRASShOff, 1976)....
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...Nutrient concentrations (nitrate, nitrite, ammonia, orthophosphate and orthosilicate) were determined on the AutoAnalyzer III system, using modified automated methods (GRASShOff, 1976)....
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TL;DR: In this article, a new multivariate analysis technique, called canonical correspondence analysis (CCA), was developed to relate community composition to known variation in the environment, where ordination axes are chosen in the light of known environmental variables by imposing the extra restriction that the axes be linear combinations of environmental variables.
Abstract: A new multivariate analysis technique, developed to relate community composition to known variation in the environment, is described. The technique is an extension of correspondence analysis (reciprocal averaging), a popular ordination technique that extracts continuous axes of variation from species occurrence or abundance data. Such ordination axes are typically interpreted with the help of external knowledge and data on environmental variables; this two—step approach (ordination followed by environmental gradient identification) is termed indirect gradient analysis. In the new technique, called canonical correspondence analysis, ordination axes are chosen in the light of known environmental variables by imposing the extra restriction that the axes be linear combinations of environmental variables. In this way community variation can be directly related to environmental variation. The environmental variables may be quantitative or nominal. As many axes can be extracted as there are environmental variables. The method of detrending can be incorporated in the technique to remove arch effects. (Detrended) canonical correspondence analysis is an efficient ordination technique when species have bell—shaped response curves or surfaces with respect to environmental gradients, and is therefore more appropriate for analyzing data on community composition and environmental variables than canonical correlation analysis. The new technique leads to an ordination diagram in which points represent species and sites, and vectors represent environmental variables. Such a diagram shows the patterns of variation in community composition that can be explained best by the environmental variables and also visualizes approximately the "centers" of the species distributions along each of the environmental variables. Such diagrams effectively summarized relationships between community and environment for data sets on hunting spiders, dyke vegetation, and algae along a pollution gradient.
5,689 citations
Book•
03 May 2007
TL;DR: In this paper, the effects of rice farming on aquatic birds with mixed modelling were investigated using additive and generalised additive modeling and univariate methods to analyse abundance of decapod larvae.
Abstract: Introduction.- Data management and software.- Advice for teachers.- Exploration.- Linear regression.- Generalised linear modelling.- Additive and generalised additive modelling.- Introduction to mixed modelling.- Univariate tree models.- Measures of association.- Ordination--first encounter.- Principal component analysis and redundancy analysis.- Correspondence analysis and canonical correspondence analysis.- Introduction to discriminant analysis.- Principal coordinate analysis and non-metric multidimensional scaling.- Time series analysis--Introduction.- Common trends and sudden changes.- Analysis and modelling lattice data.- Spatially continuous data analysis and modelling.- Univariate methods to analyse abundance of decapod larvae.- Analysing presence and absence data for flatfish distribution in the Tagus estuary, Portugual.- Crop pollination by honeybees in an Argentinean pampas system using additive mixed modelling.- Investigating the effects of rice farming on aquatic birds with mixed modelling.- Classification trees and radar detection of birds for North Sea wind farms.- Fish stock identification through neural network analysis of parasite fauna.- Monitoring for change: using generalised least squares, nonmetric multidimensional scaling, and the Mantel test on western Montana grasslands.- Univariate and multivariate analysis applied on a Dutch sandy beach community.- Multivariate analyses of South-American zoobenthic species--spoilt for choice.- Principal component analysis applied to harbour porpoise fatty acid data.- Multivariate analysis of morphometric turtle data--size and shape.- Redundancy analysis and additive modelling applied on savanna tree data.- Canonical correspondence analysis of lowland pasture vegetation in the humid tropics of Mexico.- Estimating common trends in Portuguese fisheries landings.- Common trends in demersal communities on the Newfoundland-Labrador Shelf.- Sea level change and salt marshes in the Wadden Sea: a time series analysis.- Time series analysis of Hawaiian waterbirds.- Spatial modelling of forest community features in the Volzhsko-Kamsky reserve.
1,788 citations