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5 results for “Ganga River”

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dryad36/100

Diversification of body shape in catfishes of the Ganga River

<p>Catfishes of the order Siluriformes are an exceptionally diverse group occupying significant fraction of the world's freshwater ichthyofauna. Catfish species renders a model system for phylogenetic and evolutionary studies. However, there is dearth of knowledge on the phylogenetic history with reference to morphological diversity of catfishes in the Ganga River. Geometric morphometrics is an efficient approach to quantify shape variations and has lately found application in range of taxonomic, phylogenetic and evolutionary studies. This study utilizes photographs of 39 Gangetic catfishes to evaluate inter-specific phenotypic relationship through geometric morphometrics. PERMANOVA revealed significant relationship (F = 4.50, <em>p</em> &lt; 0.0001) between shape of all the species. Procrustes ANOVA revealed significant relationship between shape and size (F = 17.67,<em> p</em> &lt; 0.0001) and between shape (F = 34.95, <em>p</em> &lt; 0.0001) of all species. The first two principal components of PCA accounted for 69.41% (PC1 44.41% and PC2 25.00%) of the total variance while the first two canonical variates of CVA accounted for 55.89% (CV1 34.06% and CV2 21.83%) of the total variance. The CVA-extracted Mahalanobis and Procrustes distances were found to be highly significant (<em>p</em> &lt; 0.0001) between distinct groups and non-significant (p &gt; 0.0001) between closely related groups. Morphospace phenogram depicted that the species under <em>Mystus, Sperata, Glyptothorax, Ompok, Eutropiichthys, Bagarius</em> and <em>Gagata </em>clustered together in their respective genus, indicating that species of respective genus share common phenotypic traits and have evolutionary relatedness. Species like <em>Chaca chaca, Clarias magur, Sisor rabdophorus, Heteropneustes fossilis, Silonia silondia</em> and <em>Clupisoma garua</em> showed clear distinctness, which may be attributed to different set of morphological traits. The study affirms the implication of geometric morphometrics in discriminating Gangetic catfishes and showcasing phenotypic relatedness between respective groups. This study has high implications in understanding the ecological and evolutionary problems in relation to morphological diversity in catfishes.</p>

opencc-zeroMay 2022View details →
dryad36/100

Diversification of body shape in catfishes of the Ganga River

Open the record for dataset details and reuse information.

publicMay 2022View details →
zenodo32/100

Fig. 1 Map showing major drainages and mahseer collection localities across India. 1 River Tawi, Jammu. 2 River Beas, Pong. 3 River Beas, Pathankot. 4 River Satluj, Nangal. 5 River Yamuna, Yamuna nagar. 6 River Ganga, Rishekesh. 7 River Bhagirathi. 8 River Kosi, Ramnagar. 9 River Sharda, Tanakpur. 10 River Gerua, Katarnia Ghat. 11 in Molecular evidence to reconcile taxonomic instability in mahseer species (Pisces: Cyprinidae) of India

Fig. 1 Map showing major drainages and mahseer collection localities across India. 1 River Tawi, Jammu. 2 River Beas, Pong. 3 River Beas, Pathankot. 4 River Satluj, Nangal. 5 River Yamuna, Yamuna nagar. 6 River Ganga, Rishekesh. 7 River Bhagirathi. 8 River Kosi, Ramnagar. 9 River Sharda, Tanakpur. 10 River Gerua, Katarnia Ghat. 11 River Tista, Mal/Udalabadi. 12 River Jaldhaka, Bindhu. 13 River Ziyabharali, Bhlukpong. 14 River Dikrong, Doimukh. 15 River Sank, Gwalior. 16 River Tons, Chackghat. 17 River Tawa, Itarsi. 18 River Mahanadi, Sambhalpur. 19 River Krishna. 20 River Chaliyaar, Nilambur. 21 River Chalakudy, Puzha

opennotspecifiedMay 2014View details →
zenodo24/100

Hydrological dynamics in giant tropical rivers: a case study of the Ganga River

<p>This dataset includes meteorological data, calibration metrics and stable isotope analysis used to understand the Ganga River&rsquo;s summer water flow dynamics. It also contains the data related to groundwater level changes around the river.&nbsp; By estimating evaporative loss and river water-groundwater interactions, the findings, supported by mathematical modeling, provide a framework that can be applied to other tropical rivers to understand water dynamics and guiding sustainable management practices.</p>

opencc-by-4.0Nov 2024View details →
zenodo16/100

Testing Topographic equilibrium between the Ganga and the Narmada River systems, central Indian forebulge (Chi analysis data).

<p>This&nbsp;data contains the .csv files which are generated in order to find the Chi metrics, Normalized steepness index and best fit theta value for the rivers flowing (viz, Chambal, Sindh, Betwa, Ken, Tamas,&nbsp;Son and Narmada river systems)&nbsp;on the central Indian plateau.&nbsp;The data belongs to the paper titled &quot;Testing Topographic equilibrium between the Ganga and the Narmada River systems, central Indian forebulge&quot; that is in review process.</p> <p>We have used the program &quot;LSDTopoTools&quot; to generate these&nbsp;dataset. The files having prefix &quot;parv_125_&quot; are generated for a&nbsp;DEM of 125m resolution whereas the ones with prefix &quot;3apr_90&quot;&nbsp;are generated for the 90 m resolution DEM. These datasets are used to find out the best fit theta value (Concavity index)&nbsp;for the rivers flowing on&nbsp;the&nbsp;central Indian plateau. These datasets are further converted to simplified&nbsp;figures using Python programming. The file having the name &quot;ind_2k_50_MChiSegmented.csv&quot; is the final dataset which is&nbsp;used to generate maps of the&nbsp;Chi metrics and Normalized steepness values using&nbsp;a GIS software.</p>

restrictedJan 2023View details →

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