scholarly journals Gastrocopta armigerella (Reinhardt, 1877) and Gastrocopta theeli (Westerlund, 1877) in western Tien Shan, Kyrgyzstan, and their further occurrence in Asia (Mollusca, Gastropoda, Pupilloidea)

ZooKeys ◽  
2018 ◽  
Vol 807 ◽  
pp. 1-11
Author(s):  
Stefan Meng ◽  
Ulrich Bößneck
Keyword(s):  
Far East ◽  
High Water ◽  
Tien Shan ◽  
Western India ◽  
Northern Iran ◽  
The Caucasus ◽  
Water Line ◽  
River Floodplains ◽  
The Far East ◽  
Western Asia

Gastrocoptaarmigerella (Reinhardt, 1877) has been described from Japan and is widespread in the Far East and China. Surprisingly, a few occurrences in central and western Asia have also become known. Forcart (1935) found G.armigerella in northern Iran. The authors found evidence of G.armigerella in western Tien Shan, Kyrgyzstan. The form from northern Tajikistan described by Schileyko (1984) as G.huttoniana agrees morphologically with G.armigerella as well. Gastrocoptahuttoniana is known from western India and the Himalayan region. The evidence of G.armigerella from central and western Asia has come thus far from drift material at the high water line in river floodplains which suggests that these are sub-fossil or fossil shells (Holocene or Pleistocene) which have been relocated. No living example of Gastrocopta has been found there as yet. Possibly the species is now extinct in this region. Gastrocoptatheeli (Westerlund, 1877) is the most widespread Gastrocopta in Eurasia. Its area ranges from the Caucasus to the Far East. The findings reported here are the first for this species in western Tien Shan.

scholarly journals Assessing the Rate of Shoreline Changes of Rameswaram Island, Tamilnadu, India, using MATLAB Component Runtime Utility & Digital Shoreline Analysis System

2020 ◽  
Vol 9 (3) ◽  
pp. 3318-3321
Keyword(s):  
High Water ◽  
Field Investigation ◽  
Rate Of Change ◽  
Physical Parameters ◽  
Geospatial Technology ◽  
Water Line ◽  
Digital Shoreline Analysis System ◽  
Long Term Changes ◽  
Analysis System

The Present study highlights the changes in the coastal tract of Rameswaram island located between the geometric location, latitude 9° 10' to 9° 20' N and the longitude 79° 12' to 79° 30' E. Using Geospatial Technology, Long-term changes have noticed from digitized shorelines taken from Landsat imageries and SOI toposheet for the years 1968, 1978, 1988, 1999, 2009 and 2018. Digital Shoreline Analysis System (DSAS) an extension provided by USGS for ArcGIS used to cast transects perpendicular from the baseline, towards the shorelines. High water Line (HTL) has taken as shoreline in this study. The distance between the shorelines has taken from the cast transects plotted from the baseline. For the rate of change calculation, MATLAB component runtime utility for ArcGIS has used. Based on the Linear Regression Rate (LRR) the shore has classified into High Erosion, Low Erosion, Stable and Low Accretion, High Accretion zones. The island has a shoreline length of 78.4 km, and the studies found that 27.83 km (35.41%) of shoreline is accreting nature, 37.90 km (48.21%) of shoreline is stable, and 12.86 km (16.36 %) of shoreline tends to erode. During the field investigation identified that High amount of erosion occurred in the locations near Pamban, Tharavaithopu and Dhanushkodi. Also, Accretion identified over the locations Ayyanthopu, Natarajapuram and Arichumanai tip. Wind action is one of the physical parameters that induced the erosion in some location of this study area.

scholarly journals Nest site selection by sea turtles

1995 ◽  
Vol 75 (3) ◽  
pp. 667-674 ◽  
Author(s):  
G. C. Hays ◽  
A. Mackay ◽  
C. R. Adams ◽  
J. A. Mortimer ◽  
J. R. Speakman ◽  
...  
Keyword(s):  
Site Selection ◽  
Nest Site ◽  
Chelonia Mydas ◽  
High Water ◽  
Nest Site Selection ◽  
Water Line ◽  
Green Turtles ◽  
Ascension Island ◽  
Loggerhead Turtles ◽  
Littoral Vegetation

The distribution of 38 nests of loggerhead turtles (Caretta caretta) on beaches on Sanibel and Captiva islands, south-western Florida (26°26'N 82°16'W), and of 70 first digging attempts by green turtles (Chelonia mydas) on Ascension Island (7°57'S 14°22'W), was quantified. For loggerhead turtles on Sanibel and Captiva, nests were clumped close to the border between the open sand and the supra-littoral vegetation that backed the beaches. This spatial pattern of nests was closely reproduced by assuming simply that turtles crawled a random distance above the most recent high water line prior to digging. In contrast, green turtles on Ascension Island clumped their first digging attempts on the uneven beach above the springs high water line, crawling up to 80 m to reach this beach zone.

scholarly journals The Three Domains of Life Within the Discharge Area of a Shallow Subterranean Estuary at a High Energy Beach

2021 ◽  
Vol 9 ◽  
Author(s):  
Julius Degenhardt ◽  
Sahar Khodami ◽  
Felix Milke ◽  
Hannelore Waska ◽  
Bert Engelen ◽  
...  
Keyword(s):  
Nutrient Cycling ◽  
Sampling Site ◽  
Distribution Patterns ◽  
High Water ◽  
High Energy ◽  
Rrna Gene ◽  
Discharge Area ◽  
Water Line ◽  
Domains Of Life ◽  
Scientific Attention

Subterranean estuaries (STEs) play an important role in linking nutrient cycling between marine and terrestrial systems. As being the primary drivers of nutrient cycling, the composition of microbial communities and their adaptation toward both, terrestrial and marine conditions are of special interest. While bacterial communities of STEs have received increasing scientific attention, archaeal and meiofaunal diversity was mostly neglected. Previous studies at the investigated sampling site, the STE of a mesotidal beach at the German North Sea island of Spiekeroog, focused on spatial and seasonal patterns of geochemical and bacterial diversity. By additionally investigating the archaeal and meiofaunal diversity and distribution, we now aimed to fill this gap of knowledge to understand the microbial response to submarine groundwater discharge (SGD). The topography of Spiekeroog beach and associated geochemical gradients in porewater displayed a distinct cross-shore zonation, with seawater infiltration on the upper beach at the high water line (HWL), and saline and brackish porewater exfiltration (SGD) at the ridge-runnel structure and the low water line (LWL) on the lower beach. This led to a higher evenness of prokaryotic communities in lower beach areas impacted by SGD compared to unimpacted areas. Archaea contributed 1–4% to the 16S rRNA gene sequence dataset. Those were dominated by Nitrosopumilaceae, corresponding well to higher concentrations of NH4+ in the discharge area of the STE. The unimpacted sites had elevated abundances of Wosearchaeia, which were also detected previously in impacted areas of an STE at Mobile Bay (Gulf of Mexico). While a large proportion of prokaryotes were present in the entire intertidal area, meiofaunal community compositions were site specific and dominated by nematodes. Nematode communities of the high-water line differed distinctively from the other sites. Overall, our data indicates that the three domains of life display distinctly different adaptations when facing the same conditions within the STE. Therefore, distribution patterns of any domain can only be understood if all of them, together with basic environmental information are investigated in an integrated context.

Discussion of “Definition of Mean High Water Line”

1981 ◽  
Vol 107 (1) ◽  
pp. 69-69
Author(s):  
Jack E. Guth ◽  
John S. Grimes ◽  
Steacy Hicks ◽  
J.F. Doig
Keyword(s):  
High Water ◽  
Water Line ◽  
Mean High Water ◽  
Definition Of
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