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229 results for “Mekong”

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zenodo40/100

Fig. 4 in Nematode morphometry and biomass patterns in relation to community characteristics and environmental variables in the Mekong Delta, Vietnam

Fig. 4. Nematode length (L) and width (W) at all mouth stations and along the Co Chien river estuary.

opencc-by-4.0Jul 2014View details →
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Fig. 3 in Nematode morphometry and biomass patterns in relation to community characteristics and environmental variables in the Mekong Delta, Vietnam

Fig. 3. Nitrite and nitrate concentrations (mean±SD; raw data multiplied by 10) and ammonium concentrations across a vertical sediment profile at the mouth of the Mekong delta (a), and along the Co Chien estuary (b).

opencc-by-4.0Jul 2014View details →
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Fig. 2 in Nematode morphometry and biomass patterns in relation to community characteristics and environmental variables in the Mekong Delta, Vietnam

Fig. 2. Chloroplastic Pigment Equivalents (mean CPE±SD; μg L−1) and chlorophyll a (mean±SD; μg L−1) at the mouth stations (a) and along the Co Chien estuary (b).

opencc-by-4.0Jul 2014View details →
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Fig. 1 in Nematode morphometry and biomass patterns in relation to community characteristics and environmental variables in the Mekong Delta, Vietnam

Fig. 1. Locations of sampling stations in the Co Chien estuary (ECC1 through ECC4) and at the mouth of Mekong Delta (from north to south, mouth stations ECT, ECD, EBL, EHL, ECH, EDA and ETD) in Vietnam.

opencc-by-4.0Jul 2014View details →
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Fig. 5. Namkongnaia lemeslei gen. et comb. nov. A. Labels associated with the syntype lot. B in Molecular phylogeny reveals a new genus of freshwater mussels from the Mekong River Basin (Bivalvia: Unionidae)

Fig. 5. Namkongnaia lemeslei gen. et comb. nov. A. Labels associated with the syntype lot. B. Original figure (after Morelet 1875: pl. 14 fig. 1). C–D. Syntype MNHN MP 3150 (photographs by V. Heros and M. Caballer) from Battambang Province, Cambodia. E. Specimen MUMNH-UNI2669. F. Specimen MUMNH-UNI2829 from Kampong Kdei River, Siem Reap Province, Cambodia. Scale bars: 10 mm.

opencc-by-4.0Oct 2021View details →
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Fig. 2 in Molecular phylogeny reveals a new genus of freshwater mussels from the Mekong River Basin (Bivalvia: Unionidae)

Fig. 2. Time-calibrated tree of the subfamily Gonideinae based on the concatenated alignment dataset of COI + 16S + 28S genes. Nodes present time estimates since the most recent common ancestor (tMRCA) in millions of years ago (Mya). Node bars indicate 95% highest posterior density interval (HPD) of the node ages. Sufficiently supported nodes (BPP> 0.95) are marked with '*'. The geologic time scale is according to the Geological Society of America, 2019.

opencc-by-4.0Oct 2021View details →
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Fig. 1 in Molecular phylogeny reveals a new genus of freshwater mussels from the Mekong River Basin (Bivalvia: Unionidae)

Fig. 1. Maximum likelihood (ML) tree of the subfamily Gonideinae based on the concatenated dataset of COI + 16S + 28S genes. Bootstrap values from ML and posterior probabilities from Bayesian inference analysis (BI) of the major nodes are listed as ML/BI. Nodes with posterior probabilities of BI ≥ 0.95 and ML bootstrap support values ≥ 70 were considered as sufficiently supported nodes (Huelsenbeck & Hillis 1993; Larget & Simon 1999), and are marked with black circles (supported by both BI and ML), white circles (supported only by BI), or grey circles (supported only by ML).

opencc-by-4.0Oct 2021View details →
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Fig. 3 in Molecular phylogeny reveals a new genus of freshwater mussels from the Mekong River Basin (Bivalvia: Unionidae)

Fig. 3. Map showing distribution localities of Namkongnaia gen. nov. Boundaries of river basins follow Abell et al. (2008).

opencc-by-4.0Oct 2021View details →
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Fig. 5 in Nemacheilus cacao, a new species of loach (Teleostei: Nemacheilidae) from the middle Mekong basin in Laos

Fig. 5. Tubercles on body side and pectoral fin of large male Nemacheilus cacao, new species, ZRC 62553, holotype, 56.9 mm SL. A, red outline depicts field of tubercles on body side; B–C, area of main tuberculation enlarged; D, dorsal view on right pectoral fin; E, tubercles on pectoral fin enlarged.

opencc-by-4.0Nov 2022View details →
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Fig. 1 in Nemacheilus cacao, a new species of loach (Teleostei: Nemacheilidae) from the middle Mekong basin in Laos

Fig. 1. Live specimen of Nemacheilus cacao, new species, ZRC 62554, paratype, male, 61.5 mm SL; Laos: Khamouane province: Thakkhet district: small tributary of Nam Thorn at cave Tham Nang Eng (Photo: J. Kühne).

opencc-by-4.0Nov 2022View details →
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Fig. 2 in Nemacheilus cacao, a new species of loach (Teleostei: Nemacheilidae) from the middle Mekong basin in Laos

Fig. 2. Nemacheilus cacao, new species, Laos: Khammouane prov: Thaket district: small tributary of Nam Thorn at cave Tham Nang Eng. a, ZRC 62553, holotype, 56.9 mm SL, adult male; b, ZRC 62558, paratype, 50.4 mm SL, adult female; c, ZRC 62556, 27.7 mm SL, juvenile.

opencc-by-4.0Nov 2022View details →
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Fig. 4 in Nemacheilus cacao, a new species of loach (Teleostei: Nemacheilidae) from the middle Mekong basin in Laos

Fig. 4. Nemacheilus cacao, new species, ZRC 62553, holotype, 56.9 mm SL; left suborbital flap in lateral view.

opencc-by-4.0Nov 2022View details →
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A synthesis of hydroclimatic, ecological, and socioeconomic data for transdisciplinary research in the Mekong

<p>Various climate, hydro-meteorological, ecological, and socio-economic datasets are synthesized and made available for the Mekong River Basin. The sources of each dataset are also mentioned in the associated readme file.</p> <p>Dam attribute data, inundation data, and Cambodia census data can be made available upon request to the authors.</p>

opencc-by-4.0Jan 2023View details →
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Dataset used in "Comment on "Soil salinity assessment by using near-infrared channel and Vegetation Soil Salinity Index derived from Landsat 8 OLI data: a case study in the Tra Vinh Province, Mekong Delta, Vietnam" by Kim-Anh Nguyen, Yuei-An Liou, Ha-Phuong Tran, Phi-Phung Hoang and Thanh-Hung Nguyen"

<p>The Excel file provides all the data included in Tab.4 of Nguyen et al. 2020 plus reflectances extracted from&nbsp;the&nbsp;Landsat 8 OLI image acquired on 14 February 2017 and downloaded from the USGS Earth Explorer website. Observations on the number of pixels falling of water,&nbsp;land and mixed water/land surfaces are provided as well as water percentage cover estimated using regular spaced points.&nbsp;</p> <p>The dataset includes vector files (kml format) of the grids corresponding to the selected L8 pixels as well as the regularly spaced points generated within the selected pixels. These files can be imported in QGIS, Google Earth Pro and other free GIS software.</p>

opencc-by-4.0Jan 2022View details →
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RAPID Model Output Files for Mekong-Indus-Ganges-Brahmaputra-Megna (MIGBM) River Basins

<p>This database contains the simulated output files of the RAPID model (river flow in m<sup>3</sup>/s); which were used by <em>Sikder et al.</em> [2019] to assess the performance of available global LSM runoffs in South and Southeast Asian river basins. If you use this RAPID Model Output Files for Mekong-Indus-Ganges-Brahmaputra-Megna (MIGBM) River Basins in your work, please cite: <em>Sikder et al.</em>, [2019], Evaluation of Available Global Runoff Datasets Through a River Model in Support of Transboundary Water Management in South and Southeast Asia, Front. Environ. Sci., 7:171, <a href="https://doi.org/10.3389/fenvs.2019.00171">https://doi.org/10.3389/fenvs.2019.00171</a>.</p> <p>The database contains;</p> <p>River Flow Files:&nbsp;&nbsp;&nbsp;&nbsp; Qout_<strong><em>res</em></strong>_MIGBM_20000101_20091231_<strong><em> prj</em></strong>_<strong><em>LSMsr</em></strong>_<strong><em>tr</em></strong>_utc.nc</p> <p>(Note: <strong><em>res</em></strong> = fine or coarse; <strong><em>prj</em></strong> = GLDAS or GLDAS.2.0 or GLDAS.2.1 or ECMWF; <strong><em>LSM</em></strong> = CLM, MOS, NOAH, VIC, ERAint; <strong><em>sr</em></strong> = 10 or 025; <strong><em>tr</em></strong> = 3H or D)</p> <p>&nbsp;</p> <p>Other necessary links associated with this database:</p> <p>RAPID model: <a href="https://github.com/c-h-david/rapid">https://github.com/c-h-david/rapid</a></p> <p>RAPID model pre-processor (rrr): <a href="https://github.com/c-h-david/rrr">https://github.com/c-h-david/rrr</a></p> <p>GLDAS outputs: <a href="https://disc.gsfc.nasa.gov/datasets?keywords=GLDAS">https://disc.gsfc.nasa.gov/datasets?keywords=GLDAS</a></p> <p>ECMWF outputs: <a href="https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era-interim-land">https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era-interim-land</a></p> <p>&nbsp;</p> <p>References:</p> <p>Balsamo, G., Albergel, C., Beljaars, A., Boussetta, S., Brun, E., Cloke, H., et al. [2015], ERA-Interim/Land: a global land surface reanalysis data set, Hydrol. Earth Syst. Sci., 19, 389&ndash;407, <a href="https://doi.org/10.5194/hess-19-389-2015">https://doi.org/10.5194/hess-19-389-2015</a></p> <p>David, C. H., D. R. Maidment, G. Y. Niu, Z. L. Yang, F. Habets, and V. Eijkhout [2011], River network routing on the NHDPlus dataset, J. Hydrometeorol., 12, 913&ndash;934, <a href="https://doi.org/10.1175/2011JHM1345.1">https://doi.org/10.1175/2011JHM1345.1</a></p> <p>Rodell, M., P. R. Houser, U. Jambor, J. Gottschalck, K. Mitchell, C.-J. Meng, et al. [2004], The global land data assimilation system, Bull. Am. Meteorol. Soc. 85, 381&ndash;394, <a href="https://doi.org/10.1175/BAMS-85-3-381">https://doi.org/10.1175/BAMS-85-3-381</a></p> <p>Sikder, M. S., C. H. David, G. H. Allen, X. Qiao, E. J. Nelson, and M. A. Matin [2019], Evaluation of Available Global Runoff Datasets Through a River Model in Support of Transboundary Water Management in South and Southeast Asia, Front. Environ. Sci., 7:171, <a href="https://doi.org/10.3389/fenvs.2019.00171">https://doi.org/10.3389/fenvs.2019.00171</a></p>

opencc-by-4.0Jan 2020View details →
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Fig. 1. Polynemus bidentatus, UMMZ 213346 in New Species Of The Threadfin Genus Polynemus (Teleostei: Polynemidae) From The Mekong River Basin, Vietnam, With Comments On The Mekong Species Of Polynemus

Fig. 1. Polynemus bidentatus, UMMZ 213346, holotype, 153.4 mm SL, My Tho Province, Vietnam.

opencc-by-4.0Aug 2006View details →
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Strategic basin and delta planning increases the resilience of the Mekong Delta under future uncertainty

<p># Geospatial data and analysis results for:</p> <p>Schmitt R. J. P., Giuliani, M., Bizzi, S., Kondolf, G. M., Daily, G. C., Castelletti, A.&nbsp;(2021).&nbsp;Strategic basin and delta planning increases the resilience of the Mekong Delta under future uncertainty (accepted for publication in the Proceedings of the National Academy of Sciences).&nbsp;</p> <p><br> # Prepared by R. Schmitt (rschmitt@stanford.edu), July 2021.&nbsp;</p> <p># Abstract:&nbsp;</p> <p>The climate resilience of river deltas is threatened by rising sea levels, accelerated land subsidence, and reduced sediment supply from contributing river basins. Yet, these uncertain and rapidly changing threats are rarely considered in conjunction. Here we provide an integrated assessment, on basin- and delta-scales, to identify key planning levers for increasing the climate resilience of the Mekong Delta. We find, first, that 23 % to 90 % of this unusually productive delta might fall below the sea level by 2100, with the large uncertainty driven mainly by future management of groundwater pumping and associated land subsidence. Second, maintaining sediment supply from the basin is crucial, under all scenarios, to maintaining delta land and enhancing the climate resilience of the system. We then use a bottom-up approach to identify basin development scenarios that are compatible with maintaining sediment supply at current levels. This analysis highlights, third, that strategic placement of hydropower dams will be more important for maintaining sediment supply than either projected increases in sediment yields or sediment management at individual dams. Our results demonstrate (1) the needs for integrated planning across basin and delta scales, (2) the role of river sediment management as a nature-based solution to increase delta resilience, and (3) global benefits from strategic basin management to maintain resilient deltas, especially under uncertain and changing conditions.</p> <p>&nbsp;</p> <p># Contents:<br> Mekong_Basin_geomorphic provinces.gpkg: location of geomorphic provinces and the associated sediment load. Digtized and modified from Kondolf et al., 2014<br> Schmitt_et_al_PNAS_2020-26127P.m: Script demonstrating the robust analysis and the derivation of decision surfaces (e.g., Fig. 3, f, g and Figure 4)<br> Data PNAS_2020-26127P.mat: Resimulation data (i.e., sediment yield and dam sediment trapping multipliers and the response in terms of sediment delivery to the delta)&nbsp;</p>

opencc-by-4.0Jul 2021View details →
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Fig. 5 in Nematode morphometry and biomass patterns in relation to community characteristics and environmental variables in the Mekong Delta, Vietnam

Fig. 5. Frequency distribution of L/W ratios at the mouth stations (a) and Co Chien estuary (b).

opencc-by-4.0Jul 2014View details →
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Fig. 3 in Nemacheilus cacao, a new species of loach (Teleostei: Nemacheilidae) from the middle Mekong basin in Laos

Fig. 3. Nemacheilus cacao, new species, ZRC 62553, holotype, 56.9 mm SL; mouth in ventral view.

opencc-by-4.0Nov 2022View details →
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Immigration of Sogatella furcifera from the Greater Mekong Subregion into northern China revealed by 2b-RAD sequencing

Background The white-backed planthopper (WBPH), Sogatella furcifera (Horváth) (Hemiptera, Delphacidae), is a migratory pest of rice in Asia. Shandong Province, in northern China, is located on the migration pathway of WBPH between southern and northeast China. The potential sources of WBPH in northern China are poorly understood. We studied the sources of WBPH in Shandong Province by determining the population genetic structure of WBPH in 18 sites distributed in Shandong and in six regions of the Greater Mekong Subregion (GMS). We used mitochondrial gene and single-nucleotide polymorphism (SNP) markers (2b-RAD sequencing) for analysis. Results All of the WBPH populations studied in the seven regions had low genetic diversity. Pairwise F ST values ranged from -0.061 to 0.285, while F ST based on SNP data ranged from -0.007 to 0.009. These two molecular markers revealed that 4.40% (mtDNA) and 0.19% (SNP) genetic variation could be explained by the interpopulation variation, while the rest came from intrapopulation variation. The populations in the seven geographic regions comprised four hypothetical genetic clusters (K = 4) not associated with geographic location. Eighty-four of 129 individuals distributed across the given area were designated as recent migrants or of admixed ancestry. Although the substantial migration presented, a weak but significant correlation between genetic and geographic distances was found (r = 0.083, P = 0.004). Conclusion GMS was the main source of WBPH in Shandong, while other source populations may also exist. The genetic structure of WBPH is shaped by both migration and geographic barriers. These results help clarify the migration route and the source of WBPH in northern China.

opencc-zeroNov 2020View details →

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