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1,188 results for “DELTA”
Fig. 6 in Biozonation And Correlation Of Two Wells In Niger Delta Using Calcareous Nannofossils
Fig. 6 Correlation of the MAY-01 and MAY-02 wells based on calcareous nannofossil zones, MFS and SB.
Fig. 2 in Biozonation And Correlation Of Two Wells In Niger Delta Using Calcareous Nannofossils
Fig. 2 Stratigraphy and paleoenvironment of the Eocene-Pliocene interval of the Niger Delta (modified from Doust & Omatsola, 1990)
Figure 2 in Trichodinid fauna of freshwater fishes with infestation indices in the Lower Kızılırmak Delta in Turkey and a checklist of trichodinids (Ciliophora: Trichodinidae) in Turkish waters
Figure 2. Trichodinid parasites identified on Lower Kızılırmak Delta fishes: A) T. lepsii, B) T. puytoraci, C) T. domerguei, D) T. heterodentata, E) Paratrichodina corlissi, F) T. domerguei, G) T. modesta, H) Tripartiella macrosoma, I) T. acuta, J) T. lucioperca, K) T. tenuidens, L) Trichodina sp1, M) T. cobitis, N) Trichodina sp2, O) Trichodina sp3.
B in The monitoring of feather mites (Acari, Astigmata) of the Warbler (Aves: Sylviidae) species in the Kızılırmak delta, Samsun, Turkey
B rd spec es Figure 2. Number of the feather mite species identified on members of the family Sylviidae.
Figure 1 in Assessment of the zooplankton community structure of the coastal Uzungöl Lagoon (Kızılırmak Delta, Turkey) based on community indices and physicochemical parameters
Figure 1. Geographical location of study area, coordinates of sampling points. Station 1: 41°32'33.85"N - 36°04'56.80"E; Station 2: 41°33'36.66"N - 36°05'22.24"E; Station 3: 41°34'11.10"N - 36°05'40.67"E; Station 4: 41°34'44.82"N - 36°06'0.14"E; Station 5: 41°35'7.57"N - 36° 06'20.14"E.
Figure 6 in Assessment of the zooplankton community structure of the coastal Uzungöl Lagoon (Kızılırmak Delta, Turkey) based on community indices and physicochemical parameters
Figure 6. Zooplankton community indices (Shannon Diversity, Pielou evenness and Species richness) during the study period.
Figure 3 in Assessment of the zooplankton community structure of the coastal Uzungöl Lagoon (Kızılırmak Delta, Turkey) based on community indices and physicochemical parameters
Figure 3. Seasonal density (ind. m -3) changes of nauplii larvae and copepodit individuals in Uzungöl Lagoon.
Figure 2 in Diet composition, guild structure and trophic relationships of wintering birds of prey in an estuarine wetland (The Evros Delta National Park, Greece)
Figure 2. Cluster analysis (dendrogram) based on the biomass proportions of the diets of the seven species of birds of prey studied in Evros Delta.
Figure 1 in Diet composition, guild structure and trophic relationships of wintering birds of prey in an estuarine wetland (The Evros Delta National Park, Greece)
Figure 1. Diet compiled for the most important prey taxa of the seven species of birds of prey studied in the Evros Delta, a) by biomass (upper graph) and b) by numbers (lower graph) (Shannon index/Evenness are shown below each species name).
Figure 2 in The Red-footed Falcon Falco vespertinus population in the Danube Delta and its habitat selection for breeding
Figure 2. Relationship between the presence of a breeding population of RfF and explanatory variables selected. The graphics show the relationship between RfF nest presence and (a) the mean temperature of the warmest quarter, (b) the precipitation of the warmest quarter, (c) the number of patches of habitat in 3000 m radius from the nest, (d) the percent of open habitats in 3000 m radius from the nest, (e) the type of nest used (colonial rook nest or solitary magpie and hooded crow nest), (f) the Simpson index.
Figure 1 in The Red-footed Falcon Falco vespertinus population in the Danube Delta and its habitat selection for breeding
Figure 1. Distribution of the occupied nests of Falco vespertinus inside the ROSPA0031 Danube Delta and Razim–Sinoe Complex (and the 3000 m buffer area outside its perimeter) during the breeding season of 2020.
Figure 3 in Phytoplankton assemblages under hydrochemical conditions of the Volga River Delta
Figure 3. Distribution of phytoplankton groups in the study area identified as a result of cluster analysis. Green – Co_1, Blue – Co_2, Red – Co_3.
Figure 2 in Phytoplankton assemblages under hydrochemical conditions of the Volga River Delta
Figure 2. Similarity dendrogram demonstrating the phytoplankton groups identified based on the quantitative characteristics of communities at stations (relative abundance of species).
Figure 5 in Phytoplankton assemblages under hydrochemical conditions of the Volga River Delta
Figure 5. MDS diagram showing groups of environmental conditions identified based on similarity in the distribution of concentrations of the primary nutrients and temperature at stations.
Figure 1 in Phytoplankton assemblages under hydrochemical conditions of the Volga River Delta
Figure 1. Scheme of stations in the study area. 1 – The river part of the research area, 2 – the kultuk zone, and 3 – the sea part of the avandelta.
Figure An2. Distribution of mineral phosphorus (a), silica (b), nitrate (c) and nitrite nitrogen (d). in Phytoplankton assemblages under hydrochemical conditions of the Volga River Delta
Figure An2. Distribution of mineral phosphorus (a), silica (b), nitrate (c) and nitrite nitrogen (d).
Figure 8 in Phytoplankton assemblages under hydrochemical conditions of the Volga River Delta
Figure 8. Distribution of biotopic conditions identified as a result of cluster analysis of factors reflecting the intensity of production and destruction processes (AOU, Chl-a, and Pheo). Blue – A, Green – B, Purple – M6 station, Red – M5 station.
Figure 7 in Phytoplankton assemblages under hydrochemical conditions of the Volga River Delta
Figure 7. Types of biotopic conditions identified by production and destruction characteristics (AOU, Chl-a, and Pheo).
Fig. 6 in Negligible evidence for detrimental effects of Leucocytozoon infections among Emperor Geese (Anser canagicus) breeding on the Yukon-Kuskokwim Delta, Alaska
Fig. 6. Comparison of mass measures for incubating adult female Emperor Geese infected with Leucocytozoon parasites genetically characterized in this study L. simondi clade A (blue), L. simondi clade B (red), or other/mixed Leucocytozoon (grey; see Materials and methods) using boxplots (Panel A) and plotted by incubation day (Panel B). The trendline in panel B is depicts predicted mass given the day of incubation and positive Leucocytozoon infection status from our top-ranking regression model (see Results). (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 5. Phylogenetic tree depicting inferred genetic relationships among Leucocytozoon mitochondrial DNA cytochrome b in Negligible evidence for detrimental effects of Leucocytozoon infections among Emperor Geese (Anser canagicus) breeding on the Yukon-Kuskokwim Delta, Alaska
Fig. 5. Phylogenetic tree depicting inferred genetic relationships among Leucocytozoon mitochondrial DNA cytochrome b haplotypes identified from blood samples collected from Emperor Geese inhabiting the Yukon-Kuskokwim Delta, Alaska during 2006–2016 and those previously reported for closely related haemosporidian morphospecies on the National Center for Biotechnology Information GenBank and Malavi databases (accession IDs in parentheses). Bars to the right of tree represent the assignment of sequences to L. simondi clade A (teal), L. simondi clade B (orange), or other Leucocytozoon. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
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