Temporary saline lakes are diverse ecosystems mostly located in arid areas. In the Mediterranean region they are among the most remarkable, but also the most threatened habitats; thus, effective management and conservation plans need to consider their special hydrological and ecological features and requirements. They are mainly fishless systems and so zooplankton is the driver of the trophic cascade. Our aim was to determine zooplankton communities' composition and biomass in seven temporary saline lakes of Cyprus and investigate their relation with environmental variables. Salinity ranged between <2 and 300 ppt and was a key factor shaping zooplankton community. In hyposaline conditions zooplankton communities exhibited higher species diversity than in meso- and hypersaline conditions. Hyposaline lakes were dominated by Arctodiaptomus salinus (Daday, 1885), Daphnia magna Straus, 1820 and Moina brachiata (Jurine, 1820) in terms of biomass, while meso- and hypersaline lakes by anostracans Artemia salina (Linnaeus, 1758) and Phallocryptus spinosus (Milne-Edwards, 1840) or M. brachiata and D. magna highlighting competition as another factor shaping the zooplankton community. We conclude that zooplankton reflects environmental pressures, such as salinity fluctuations which are closely related to water level fluctuations, in the mostly fishless Mediterranean temporary saline lakes. Moreover, salinity fluctuations should be considered a key factor for typological considerations in quality assessments, restoration and management plans in temporary saline systems since it can reflect the hydrological variations on the communities across different years and seasons by salinity gradient even for the same water body.
Natural or man-made disasters are phenomena that can affect large areas and have many environmental, societal and economic impacts. Landslides are among the major disasters of large scale that may affect the natural environment as well as urban areas, often causing massive destruction, loss of property, or even fatalities worldwide. Developing tools that are effective for disaster management is imperative to monitor and mitigate their effect. Satellite data and remote sensing techniques, combined with geological data and studies can provide valuable information regarding monitoring of natural hazards in general and especially of landslides. This paper concerns the ex ante and ex post study of a complex set of landslides that occurred in the lignite mine of Amynteon in north-western Greece (June 2017), where large masses of Neogene lacustrine and Quaternary fluvial sediments were detached and moved. The study area is located at the transfer zone between the overlapping tips of two large NE-SW trending normal fault zones affecting the overlying sediments: the NW-dipping Anargyri fault and the SE-dipping Vegora fault. The fragmentation caused by these fault zones weakened the material cohesion, which was further degraded by mining activities and hydrogeological factors, leading to the catastrophic event. The landslide occurred in along the south faces of the mine, resulting to extended collapses, destruction of mining machinery, evacuation of the adjacent Anargyri village and a big financial impact that has not yet been determined. Landsat 8 and Sentinel-2 satellite data acquired before and after the event are being used. Digital image processing techniques are applied for change detection. In addition, geological data are being used to provide information about the geological background of the area and landslides vulnerability. Visual interpretation of the area affected by the landslides is also being done, contributing to the overall study.
Shallow coastal areas are ecosystems with high productivity. Although the eastern part of the Mediterranean Sea is oligotrophic, the shallow coastal waters of the northern Aegean, such as Kavala Gulf, are productive due to the influence of the Black Sea water and the presence of freshwater input from three rivers. The aim of this work was to determine the structure of zooplankton communities in Kavala Gulf in the summer of 2002 and 2003 and to investigate their relation to environmental variables. Zooplankton communities were characterized by the presence of common coastal Cladocera, such as Penilia avirostris, small pelagic Copepoda, such as the calanoida Acartia clausi and the cyclopoida Oithona plumifera, and Tunicata, such as Oikopleura, Fritillaria and Doliolidae. The abundances corresponded to the peak of the warm period and were significantly greater in 2002 because of a P. avirostris bloom, which seemed to have better exploited the environmental sources favouring its dominance in the area. Overall, the structure of summer mesozooplankton communities in Kavala Gulf follows the pattern exhibited by mesozooplankton communities in other Greek coastal areas of the northern Aegean Sea.
Commission VIII, WG VIII/8 KEY WORDS: Landsat 8, pansharpened, image interpretation, supervised classification, land cover ABSTRACT:Scientific and professional interests of civil engineering mainly include structures, hydraulics, geotechnical engineering, environment, and transportation issues. Topics included in the context of the above may concern urban environment issues, urban planning, hydrological modelling, study of hazards and road construction. Land cover information contributes significantly on the study of the above subjects. Land cover information can be acquired effectively by visual image interpretation of satellite imagery or after applying enhancement routines and also by imagery classification. The Landsat Data Continuity Mission (LDCM -Landsat 8) is the latest satellite in Landsat series, launched in February 2013. Landsat 8 medium spatial resolution multispectral imagery presents particular interest in extracting land cover, because of the fine spectral resolution, the radiometric quantization of 12bits, the capability of merging the high resolution panchromatic band of 15 meters with multispectral imagery of 30 meters as well as the policy of free data. In this paper, Landsat 8 multispectral and panchromatic imageries are being used, concerning surroundings of a lake in north-western Greece. Land cover information is extracted, using suitable digital image processing software. The rich spectral context of the multispectral image is combined with the high spatial resolution of the panchromatic image, applying image fusionpansharpening, facilitating in this way visual image interpretation to delineate land cover. Further processing concerns supervised image classification. The classification of pansharpened image preceded multispectral image classification. Corresponding comparative considerations are also presented.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.