scholarly journals POPULATION STRUCTURE AND MORPHOMETRY OF HORSESHOE CRAB Carcinoscorpius rotundicauda, Latreille 1802 IN KAMPUNG GISI COASTAL AREA OF BINTAN BAY OF RIAU ISLANDS PROVINCE

2017 ◽  
Vol 9 (1) ◽  
pp. 211
Author(s):  
Rika Anggraini ◽  
Dietriech G. Bengen ◽  
Nyoman Metta N. Natih
Keyword(s):  
Population Structure ◽  
Coastal Area ◽  
Horseshoe Crab ◽  
Environmental Parameters ◽  
Habitat Distribution ◽  
Morphometric Characters ◽  
B Values ◽  
Belt Transect ◽  
Horseshoe Crab Population

<p><em>Horseshoe crab, <span style="text-decoration: underline;">Carcinoscorpius</span> <span style="text-decoration: underline;">rotundicauda</span> is frequently found in the coastal zone of Bintan Bay of Riau Islands Province. The study was conducted from August to September 2016 in coastal area of Kampung Gisi, Bintan bay. The aims of the study were to analyse the population structure and morphometric characters of horseshoe crab and its relation to the coastal environmental characteristics. Sampling of horseshoe crab was taken using belt transect method, and coastal environmental parameters were measured in-situ. The results show that b values of length-weight relationship were found to be 3.3 (male) and 2.6 (female) respectively. Furthermore, the growth pattern of males were positive allometric, and females were negative allometric. Horseshoe crab are closely related to sandy mudflats sediment, brackish water salinity and mangrove habitat distribution. </em></p><p> </p><p><strong>Keywords</strong>: <em>horseshoe crab, population structure, morphometry, environmental</em> <em>characteristics, Bintan </em><em>B</em><em>ay</em></p>

scholarly journals POPULATION STRUCTURE AND MORPHOMETRY OF HORSESHOE CRAB Carcinoscorpius rotundicauda, Latreille 1802 IN KAMPUNG GISI COASTAL AREA OF BINTAN BAY OF RIAU ISLANDS PROVINCE

2017 ◽  
Vol 9 (1) ◽  
pp. 211-220 ◽  
Author(s):  
Rika Anggraini ◽  
Dietriech G. Bengen ◽  
Nyoman Metta N. Natih
Keyword(s):  
Population Structure ◽  
Coastal Area ◽  
Horseshoe Crab ◽  
Environmental Parameters ◽  
Habitat Distribution ◽  
Environmental Characteristics ◽  
Morphometric Characters ◽  
Belt Transect ◽  
Horseshoe Crab Population

Horseshoe crab, Carcinoscorpius rotundicauda is frequently found in the coastal zone of Bintan Bay of Riau Islands Province. The study was conducted from August to September 2016 in coastal area of Kampung Gisi, Bintan bay. The aims of the study were to analyse the population structure and morphometric characters of horseshoe crab and its relation to the coastal environmental characteristics. Sampling of horseshoe crab was taken using belt transect method, and coastal environmental parameters were measured in-situ. The results show that b values of length-weight relationship were found to be 3.3 (male) and 2.6 (female) respectively. Furthermore, the growth pattern of males were positive allometric, and females were negative allometric. Horseshoe crab are closely related to sandy mudflats sediment, brackish water salinity and mangrove habitat distribution.  Keywords: horseshoe crab, population structure, morphometry, environmental characteristics, Bintan Bay

scholarly journals RAD-Seq Analysis and in situ Monitoring of Nassau Grouper Reveal Fine-Scale Population Structure and Origins of Aggregating Fish

2020 ◽  
Vol 7 ◽  
Author(s):  
Krista D. Sherman ◽  
Josephine R. Paris ◽  
Robert Andrew King ◽  
Karen A. Moore ◽  
Craig P. Dahlgren ◽  
...  
Keyword(s):  
Population Structure ◽  
In Situ Monitoring ◽  
Fine Scale ◽  
Nassau Grouper ◽  
Scale Population

scholarly journals The stratigraphy of the Neogene-Quaternary succession in the southwest Netherlands from the Schelphoek borehole (42G4-11/42G0022) – a sequence-stratigraphic approach

2007 ◽  
Vol 86 (4) ◽  
pp. 317-332 ◽  
Author(s):  
A.A. Slupik ◽  
F.P. Wesselingh ◽  
A.C. Janse ◽  
J.W.F. Reumer
Keyword(s):  
The Netherlands ◽  
Coastal Area ◽  
Late Quaternary ◽  
Tidal Channel ◽  
The South ◽  
Glacial Cycles ◽  
Sequence Stratigraphic ◽  
The North ◽  
Mammal Fauna

AbstractWe investigate the stratigraphy of Neogene and Quaternary intervals of the Schelphoek borehole (Schouwen, Zeeland, the Netherlands). The Breda Formation (Miocene-Zanclean) contains three sequences separated by hiatuses. The Oosterhout Formation (Zanclean-Piacenzian) contains at least two sequences. This formation is overlain by seven sequences of the Gelasian Maassluis Formation that almost certainly represent glacial cycles. The three lowermost sequences are provisionally assigned to the Praetiglian (MIS 96, MIS 98 and MIS 100). A large hiatus exists between the top of the Maassluis Formation and the base of the late Middle to Late Quaternary succession. Due to extensivein situreworking of older strata (including fossils) at the base of several of the formations, their exact boundaries are difficult to establish. The Neogene succession in the Schelphoek borehole is compared to the stratigraphic successions in the Antwerp area to the south and the Dutch coastal area and continental platform to the north. Finally, the stratigraphic context of the Gelasian (‘Tiglian’) mammal fauna dredged from the bottom of a major tidal channel in the adjacent Oosterschelde is assessed by comparison with the Schelphoek borehole.

scholarly journals Population Structure and Morphotype Analysis of “CandidatusAccumulibacter” Using FluorescenceIn SituHybridization-Staining-Flow Cytometry

2019 ◽  
Vol 85 (9) ◽  
Author(s):  
Chao Li ◽  
Wei Zeng ◽  
Ning Li ◽  
Yu Guo ◽  
Yongzhen Peng
Keyword(s):  
Flow Cytometry ◽  
Population Structure ◽  
Electron Acceptor ◽  
Phosphorus Removal ◽  
Fish Analysis ◽  
Bacterial Cells ◽  
Denitrifying Phosphorus Removal ◽  
Optimal Method ◽  
Total Bacteria

ABSTRACT“CandidatusAccumulibacter” is the dominant polyphosphate-accumulating organism (PAO) in denitrifying phosphorus removal (DPR) systems. In order to investigate the community structure and clade morphotypes of “CandidatusAccumulibacter” in DPR systems through flow cytometry (FCM), denitrifying phosphorus removal of almost 100% using nitrite and nitrate as the electron acceptor was achieved in sequencing batch reactors (SBRs). An optimal method of flow cytometry combined with fluorescencein situhybridization and SYBR green I staining (FISH-staining-flow cytometry) was developed to quantify PAOs in DPR systems. By setting the width value of FCM, bacterial cells in a sludge sample were divided into three groups in different morphotypes, namely, coccus, coccobacillus, and bacillus. Average percentages that the three different PAO populations accounted for among total bacteria from SBR1 (SBR2) were 42% (45%), 14% (13%), and 4% (2%). FCM showed that the ratios of PAOs to total bacteria in the two reactors were 61% and 59%, and the quantitative PCR (qPCR) results indicated that IIC was the dominant “CandidatusAccumulibacter” clade in both denitrifying phosphorus removal systems, reaching 50% of the total “CandidatusAccumulibacter” bacteria. The subdominant clade in the reactor with nitrite as the electron acceptor was IID, accounting for 31% of the total “CandidatusAccumulibacter” bacteria. The FCM and qPCR results suggested that clades IIC and IID were both coccus, clade IIF was coccobacillus, and clade IA was bacillus. FISH analysis also indicated that PAOs were major cocci in the systems. An equivalence test of FCM-based quantification confirmed the accuracy of FISH-staining-flow cytometry, which can meet the quantitative requirements for PAOs in complex activated sludge samples.IMPORTANCEAs one group of the most important functional phosphorus removal organisms, “CandidatusAccumulibacter,” affiliated with theRhodocyclusgroup of theBetaproteobacteria, is a widely recognized and studied PAO in the field of biological wastewater treatment. The morphotypes and population structure of clade-level “CandidatusAccumulibacter” were studied through novel FISH-staining-flow cytometry, which involved denitrifying phosphorus removal (DPR) achieving carbon and energy savings and simultaneous removal of N and P, thus inferring the different denitrifying phosphorus removal abilities of these clades. Additionally, based on this method,in situquantification for specific polyphosphate-accumulating organisms (PAOs) enables a more efficient process and more accurate result. The establishment of FISH-staining-flow cytometry makes cell sorting of clade-level noncultivated organisms available.

scholarly journals Automated Classification of Regional Meteorological Events in a Coastal Area Using In Situ Measurements

2020 ◽  
Vol 37 (4) ◽  
pp. 723-739 ◽  
Author(s):  
Anton Sokolov ◽  
Egor Dmitriev ◽  
Cyril Gengembre ◽  
Hervé Delbarre
Keyword(s):  
Discriminant Analysis ◽  
Coastal Area ◽  
Supervised Classification ◽  
Nearest Neighbors ◽  
Support Vector ◽  
Classification Algorithms ◽  
Quadratic Discriminant Analysis ◽  
Automated Classification ◽  
Sea Breezes

AbstractThe problem is considered of atmospheric meteorological events’ classification, such as sea breezes, fogs, and high winds, in coastal areas. In situ wind, temperature, humidity, pressure, radiance, and turbulence meteorological measurements are used as predictors. Local atmospheric events of 2013–14 were analyzed and classified manually using data of the measurement campaign in the coastal area of the English Channel in Dunkirk, France. The results of that categorization allowed the training of a few supervised classification algorithms using the data of an ultrasonic anemometer as predictors. The comparison was carried out for the K-nearest-neighbors classifier, support vector machine, and two Bayesian classifiers—quadratic discriminant analysis and Parzen–Rozenblatt window. The analysis showed that the K-nearest-neighbors and quadratic discriminant analysis classifiers reveal the best classification accuracy (up to 80% correctly classified meteorological events). The latter classifier has higher calculation speed and is less sensitive to unbalanced data and the overtraining problem. The most informative atmospheric parameters for events recognition were revealed for each algorithm. The results obtained showed that supervised classification algorithms contribute to automation of processing and analyzing of local meteorological measurements.

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