Mountainous basins are frequently called “natural water towers” because they supply essential to downstream regions for irrigation, industrial–municipal use, and hydropower generation. The possible implications of climate change on supplies have gained prominence in recent years, particularly snow-dominated mountainous basins. Euphrates River, a snow-fed transboundary river that originates from...

Sea Level Rise (SLR) due to global warming is becoming a more pressing issue for coastal zones. This paper presents an overall analysis assess the risk of low-lying area in Karasu, Turkey. For SLR scenarios 1 m, 2 and 3 m by 2100, inundation levels were visualized using Digital Elevation Model (DEM). The eight-side rule applied as algorithm through Geographic Information System (GIS) ArcMap sof...

Molecular microbial ecology studies have revealed remarkable prokaryotic diversity in extreme hydrothermal marine environments. There are no comparable reports of culture-independent surveys of eukaryotic life in warm, anoxic marine sediments. By using sequence comparisons of PCR-amplified small subunit ribosomal RNAs, we characterized eukaryotic diversity in hydrothermal vent environments of G...

In this study, we estimate life history parameters and abundance for a protected jaguar population using camera-trap data from a 14-year monitoring program (2002-2015) in Belize, Central America. We investigated the dynamics of this jaguar population using 3,075 detection events of 105 individual adult jaguars. Using robust design open population models, we estimated apparent survival and tempo...

There are 22 species of Hamacantha registered from all over the world, and frequently from deep-waters, only two of which had previously been reported from the SW Atlantic. Here we describe a third species for this area, Hamacantha (H.) boomerang sp. nov., collected from deep-sea coral mounds at Campos Basin (off Rio de Janeiro state). We found oxeas 271-630 µm long, diancistras in three size c...

This study aims to estimate streamflow values with artificial neural networks (ANN) using various meteorological parameters. In developing the ANN model, combinations of precipitation, air temperatures, and potential evapotranspiration were used as inputs, obtained. Meteorological data is divided into 70% train, 15% test, validation. model's design, training algorithms, network architecture, in...