Typology of the lagoons of Northern Greece according to their environmental characteristics and fisheries production

Arabatzis, Garyfallos; Kokkinakis, Antonis K.

doi:10.1007/bf02944158

Cited by 8 publications

(3 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Evros delta, Nestos delta and their adjacent lagoons, Vistonis lagoons etc.). They are highly valued habitats not only on account of their ecological importance (Zalidis & Mantzavelas, 1995;Hailey & Goutner, 2002) but also due to their economic value for ¢sh rearing, ¢sheries and tourism (Ananiadis, 1984;Arabatzis & Kokkinakis, 2005). Previous investigations in these lagoons have given emphasis to the study of macrofauna (Kevrekidis, 2004;Mogias & Kevrekidis, 2005), ¢sh fauna (Koutrakis et al, 1995) and macro£ora (Orfanidis et al, 2003), while the meiobenthic assemblages of these systems remain practically unknown.…”

Section: Introductionmentioning

confidence: 99%

Meiofaunal community structure in three Mediterranean coastal lagoons (North Aegean Sea)

2006

View full text Add to dashboard Cite

The higher taxonomic structure of the meiofaunal community was investigated in three eastern Mediterranean lagoons, an open (Vassova), a semi-closed (Piges) and a closed lagoon (Alykes Kitrous). In total, 22 stations representing characteristic features in each lagoon were sampled. Stations were found to support a maximum of 19 meiofaunal taxa with densities ranging from 1 to 10,000 individuals per 10 cm2. Nematodes were dominant at all sites (30–97%) except at the hypersaline sites, where ciliates outnumbered all metazoan meiofaunal taxa (53–77%). Uni- and multivariate analyses were applied to study the community structure. The number of taxa and the meiofaunal density showed strong spatial differences in all three lagoons; however, the main source of variation occurred between the semi-closed and closed lagoons. Both the meiofaunal composition and density were significantly less at the hypersaline sites which had salinity above 100 psu. The meiofaunal distribution pattern was shown to be controlled by abiotic factors, in particular vertical stratification of salinity, bottom water currents and oxygen availability at the bottom water–sediment interface. However, the distribution of feeding resources (e.g. cyanobacteria, phytodetritus) was also found to play a key role in structuring meiofaunal communities.

show abstract

Section: Introductionmentioning

confidence: 99%

Meiofaunal community structure in three Mediterranean coastal lagoons (North Aegean Sea)

2006

View full text Add to dashboard Cite

show abstract

“…Although not required to mention in a detailed manner, OR has long been employed to provide elaborately designed and optimized solutions in every aspect of our daily life from agriculture (Galanopoulos et al 2004), forestry (Kaloudis et al 2005) and fisheries (Arabatzis and Kokkinakis 2005) to management of water resources (Babajimopoulos and Panoras 2005); from climate change (Skuras et al 2014) and global warming (Yang and Yeh 2016) to economy (Brauers 2008) and tourism (Vazakidis and Karagiannis 2011), etc. Together with the recent developments in computing technologies and available software, there has been an increasing trend in the implementation of modern methods of OR for estimating very complex physical processes in nature which are directly related with weather and climate change, global warming, and natural disasters (i.e., typhoon attacks, earthquakes, floods, or tsunamis). The quality of estimation process is at highest priority in order to take efficient measures to mitigate the negative effects of these earth sciences related challenges.…”

Section: Earth Sciences Data Within Operational Research Perspectivementioning

confidence: 99%

A progressive approach for processing satellite data by operational research

2016

View full text Add to dashboard Cite

Satellite data, together with spatial technologies, have a vital importance in earth sciences to continuously monitor natural and physical processes. However, images taken by earth-observing satellites are often associated with uncertainties due to atmospheric effects (i.e., absorption and scattering by atmospheric gases and aerosols). In this paper, a more adaptable approach for the removal of atmospheric effects from satellite data is introduced within an operational research perspective by utilizing nonparametric regression splines. Regional atmospheric correction models via multivariate adaptive regression splines (MARS) are applied on a set of satellite images for Alps and Turkey to calculate surface reflectance values. A classical radiative transfer based atmospheric correction method is likewise employed on the same data set. The results are compared in terms of relative differences with respect to surface reflectance data. MARS provides significant improvement in the order of 40 and 37 % for Alps and Turkey, respectively.

show abstract

“…Being the largest lagoon among the five studied, samples were collected from three different sites in the southern part of Vistonis lagoon nearby Vistonikos Gulf. The second largest lagoon, Lagos lagoon, has a surface area of 3 km 2 and mean depth of 2 m. In its northern part it communicates with the southern part of Vistonis lagoon while in its southern part with Vistonikos Gulf through tidal canals [34]. Lafra and Lafrouda are smaller lagoons than Vistonis and Lagos and have approximately 1.2 km 2 and 0.8 km 2 surface areas, respectively, and a mean depth <0.5 m [35].…”

Section: Sampling Sites and Sample Collectionmentioning

confidence: 99%

Patterns in Alpha and Beta Phytoplankton Diversity along a Conductivity Gradient in Coastal Mediterranean Lagoons

et al. 2020

View full text Add to dashboard Cite

Understanding the diversity patterns of phytoplankton assemblages in coastal lagoons is clearly important for water management. In this study, we explored alpha and beta diversity patterns in phytoplankton communities across five Mediterranean lagoons hydrologically connected to Vistonikos Gulf. We examined the phytoplankton community composition and biomass on a monthly basis from November 2018 to October 2019. For this, water samples were collected from seven inshore, brackish and coastal waters, sampling sites covering a wide range of conductivity. We found significant spatial and temporal differences in phytoplankton alpha diversity and in phytoplankton biomass metrics explained by the high variation of conductivity. Evenness remained low throughout the study period, reflecting significant dominance of several phytoplankton blooms. Harmful algal blooms of Prorocentrum minimum, Alexandrium sp., Rhizosolenia setigera and Cylindrotheca closterium occurred. The system’s species pool was characterized by relatively high phytoplankton beta diversity (average ~0.7) resulting from high temporal species turnover (90%). Overall, alpha and beta diversity components were indicative of rather heterogeneous phytoplankton communities which were associated with the high differences in conductivity among the sampling sites.

show abstract

Typology of the lagoons of Northern Greece according to their environmental characteristics and fisheries production

Cited by 8 publications

References 2 publications

Meiofaunal community structure in three Mediterranean coastal lagoons (North Aegean Sea)

Meiofaunal community structure in three Mediterranean coastal lagoons (North Aegean Sea)

A progressive approach for processing satellite data by operational research

Patterns in Alpha and Beta Phytoplankton Diversity along a Conductivity Gradient in Coastal Mediterranean Lagoons

Contact Info

Product

Resources

About