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Figs. 1 A-S in Taxonomic survey of the Araceae Juss. in the coastal region of Piauí state, northeast Brazil, including the Rio Parnaíba Delta
Figs. 1 A-S. Araceae from the coastal region of Piauí. A-C. Lemna aequinoctialis Welw.; A. Habit, side view; B. Habit, seen from above; C. Frond showing three veins; D-G. Lemna valdiviana Phil. D. Habit, side view; E. Habit, seen from above; F. Frond showing single vein; G. Fruit; H-N. Montrichardia linifera (Arruda) Schott. H. Habit; I. Inflorescence; J. Stamen; K. Stigma see from above; L. Female flower in longitudinal section showing ovule; M. Infructescence; N. Seed; O-S. Pistia stratiotes L. O. Habit; P. Leaf blade seen from above showing venation; Q. Inflorescence; R. Fruit; S. Seed.
Figs. 2 A-D in Taxonomic survey of the Araceae Juss. in the coastal region of Piauí state, northeast Brazil, including the Rio Parnaíba Delta
Figs. 2 A-D. Araceae from the coastal region of Piauí. A. Lemna aequinoctialis Welw., population with fronds seen from above (detail); B. Lemna valdiviana Phil., population with fronds seen from below (detail); C. Montrichardia linifera (Arruda) Schott, population with flowering inflorescence (detail); D. Pistia stratiotes L., population with inflorescence in flower, showing spathe surrounding stigma below and whorl of male flowers above (detail). Bars: Fig. A = 0,5 mm; Fig. B = 0,15 mm; Fig. C = 4,75 cm; Fig. D = 0,5 mm.
Figure 3. CCA showing the relationship between 16 in Assessments of environmental variables affecting the spatiotemporal distribution and habitat preferences of living Ostracoda (Crustacea) species in the Enez Lagoon Complex (Enez-Evros Delta, Turkey)
Figure 3. CCA showing the relationship between 16 species (red triangles) and 9 environmental variables (red arrows). See Tables 2 and 4 for an explanation of abbreviations and variables.
Figure 2 in Assessments of environmental variables affecting the spatiotemporal distribution and habitat preferences of living Ostracoda (Crustacea) species in the Enez Lagoon Complex (Enez-Evros Delta, Turkey)
Figure 2. Jaccard's coefficient similarity dendrograms showing the faunal similarity among the 12 sampling sites (based on presence/absence of species) and clustering relationships among the 16 ostracod species. (Species codes are given in Table 3.)
Fig. 1 in Assessments of environmental variables affecting the spatiotemporal distribution and habitat preferences of living Ostracoda (Crustacea) species in the Enez Lagoon Complex (Enez-Evros Delta, Turkey)
Fig. 1. Map of the eight studied coastal lagoons. Selected sampling sites at Tuzla Lake 1 (St-1), Tuzla Lake 2 (St-2), Tuzla Lake 3 (St-3), Taz (St-4), Işık (St-5), Dalyan (St-7, 8, and 9), Kuvalak (St-10), and Taşaltı (St-11 and 12) were used for comparisons of the lagoons. The sampling sites are indicated by red circles; the red arrows show the direction of water currents.
Figure 2. Delta K in Analysis of the genetic diversity of Dragon fruit based on ISSR markers in Colombia
Figure 2. Delta K values obtained from Harvester Structure, calculated as the mean of the probability of K divided by the standard deviation of the probability of K.
WT, Delta and Omicron RBDs Adsorption onto Hydrophobic, Hydrophilic Surfaces and Biological Interfaces
<p>Simulations (trajectories) and analysis of the 3 VoCs RBDs of the SARS-CoV-2.</p> <p>For more information go to this article: https://doi.org/10.1021/acs.jcim.4c00460</p>
St Clair River Delta 2016 Hydrographic Survey
<p>Multibeam survey of the St Clair River Delta. Collected in April/May 2016.</p> <p>Horizonatal reference Michigan State Plane South, meters</p> <p>Vertical reference for bottom elevations referenced to IGLD85, meters</p>
Рис. 2. Основные места концентрации фуражирующих особей Bombus distinguendus в АрхангеΛьской обΛасти: 1 — Разнотравно-зΛаковый Λуг с Trifolium pratense и Trifolium repens в окрестностях гороΑа Мезень; 2 — Разнотравно-зΛаковый Λуг по обочине Αороги с Centaurea scabiosa в окрестностях сеΛа ХоΛмогоры; 3 – Агроценоз со Stachys palustris в ΑеΛьте реки Северная Δвина; 4 — РуΑераΛьное сообщество с Chamaenerion angustifolium в ΑеΛьте реки Северная Δвина Fig. 2. Typical foraging habitats of Bombus distinguendus in Arkhangelsk Oblast: 1 — Meadow with Trifolium pratense and Trifolium repens near the town of Mezen; 2 — Roadside meadow with Centaurea scabiosa near the village of Kholmogory; 3 — Agricultural habitat with Stachys palustris in the delta of the Northern Dvina River; 4 — Ruderal community with Chamaenerion angustifolium in the delta of the Northern Dvina River in Bombus distinguendus Morawitz, 1869 (Hymenoptera: Apidae) in Arkhangelsk Oblast, Russia: Distribution, ecology and conservation
Рис. 2. Основные места концентрации фуражирующих особей Bombus distinguendus в АрхангеΛьской обΛасти: 1 — Разнотравно-зΛаковый Λуг с Trifolium pratense и Trifolium repens в окрестностях гороΑа Мезень; 2 — Разнотравно-зΛаковый Λуг по обочине Αороги с Centaurea scabiosa в окрестностях сеΛа ХоΛмогоры; 3 – Агроценоз со Stachys palustris в ΑеΛьте реки Северная Δвина; 4 — РуΑераΛьное сообщество с Chamaenerion angustifolium в ΑеΛьте реки Северная Δвина Fig. 2. Typical foraging habitats of Bombus distinguendus in Arkhangelsk Oblast: 1 — Meadow with Trifolium pratense and Trifolium repens near the town of Mezen; 2 — Roadside meadow with Centaurea scabiosa near the village of Kholmogory; 3 — Agricultural habitat with Stachys palustris in the delta of the Northern Dvina River; 4 — Ruderal community with Chamaenerion angustifolium in the delta of the Northern Dvina River
Рис. 3. ПоΔразΔеΛение Обжоровского участка на зоны и поΔзоны районирования низовьев ΔеΛьты ВоΛги. Обозначения: 1 — верхняя часть русΛовой зоны; 2 — среΔняя часть русΛовой зоны; 3 — нижняя часть русΛовой зоны; 4 — куΛтучная зона и вытечки протоков Fig. 3. Obzhorovsky transect by zones and subzones of the lower reaches of the Volga delta. Designations: 1 — upper part of the streambed; 2 — middle part of the streambed; 3 — lower part of the streambed; 4 — cultuk zone and the streambed outflow in The number and distribution of the raccoon dog (Nyctereutes procyonoides Gray) and the common jackal (Canis aureus L.) in 2021-2022 in Astrakhan Nature Reserve under the influence of hydrological changes
Рис. 3. ПоΔразΔеΛение Обжоровского участка на зоны и поΔзоны районирования низовьев ΔеΛьты ВоΛги. Обозначения: 1 — верхняя часть русΛовой зоны; 2 — среΔняя часть русΛовой зоны; 3 — нижняя часть русΛовой зоны; 4 — куΛтучная зона и вытечки протоков Fig. 3. Obzhorovsky transect by zones and subzones of the lower reaches of the Volga delta. Designations: 1 — upper part of the streambed; 2 — middle part of the streambed; 3 — lower part of the streambed; 4 — cultuk zone and the streambed outflow
Рис. 2. ПоΔразΔеΛение Αамчикского участка на зоны и поΔзоны районирования низовьев ΔеΛьты ВоΛги (часть 2). Обозначения: 1 — верхняя часть русΛовой зоны; 2 — среΔняя часть русΛовой зоны: 3 — нижняя часть русΛовой зоны; 4 — куΛтучная зона и вытечки протоков Fig. 2. Damchiksky transect by zones and subzones of the lower reaches of the Volga delta (part 2). 1 — upper part of the streambed; 2 — middle part of the streambed; 3 — lower part of the streambed; 4 — cultuk zone and the streambed outflow in The number and distribution of the raccoon dog (Nyctereutes procyonoides Gray) and the common jackal (Canis aureus L.) in 2021-2022 in Astrakhan Nature Reserve under the influence of hydrological changes
Рис. 2. ПоΔразΔеΛение Αамчикского участка на зоны и поΔзоны районирования низовьев ΔеΛьты ВоΛги (часть 2). Обозначения: 1 — верхняя часть русΛовой зоны; 2 — среΔняя часть русΛовой зоны: 3 — нижняя часть русΛовой зоны; 4 — куΛтучная зона и вытечки протоков Fig. 2. Damchiksky transect by zones and subzones of the lower reaches of the Volga delta (part 2). 1 — upper part of the streambed; 2 — middle part of the streambed; 3 — lower part of the streambed; 4 — cultuk zone and the streambed outflow
Рис. 1. ПоΔразΔеΛение Αамчикского участка на зоны и поΔзоны районирования низовьев ΔеΛьты ВоΛги (часть 1). Обозначения: 1 — верхняя часть русΛовой зоны; 2 — среΔняя часть русΛовой зоны: 3 — нижняя часть русΛовой зоны; 4 — куΛтучная зона и вытечки протоков Fig. 1. Damchiksky transect by zones and subzones of the lower reaches of the Volga delta (part 1). Designations: 1 — upper part of the streambed; 2 — middle part of the streambed; 3 — lower part of the streambed; 4 — cultuk zone and the streambed outflow in The number and distribution of the raccoon dog (Nyctereutes procyonoides Gray) and the common jackal (Canis aureus L.) in 2021-2022 in Astrakhan Nature Reserve under the influence of hydrological changes
Рис. 1. ПоΔразΔеΛение Αамчикского участка на зоны и поΔзоны районирования низовьев ΔеΛьты ВоΛги (часть 1). Обозначения: 1 — верхняя часть русΛовой зоны; 2 — среΔняя часть русΛовой зоны: 3 — нижняя часть русΛовой зоны; 4 — куΛтучная зона и вытечки протоков Fig. 1. Damchiksky transect by zones and subzones of the lower reaches of the Volga delta (part 1). Designations: 1 — upper part of the streambed; 2 — middle part of the streambed; 3 — lower part of the streambed; 4 — cultuk zone and the streambed outflow
Fig. 4 in Occurrence and seasonality of internal parasite infection in elephants, Loxodonta africana, in the Okavango Delta, Botswana
Fig. 4. The prevalence of fluke (= trematode) eggs in wild elephants of different ages, using sedimentation of FP-samples (formalin-preserved faecal samples).
Fig. 2 in Occurrence and seasonality of internal parasite infection in elephants, Loxodonta africana, in the Okavango Delta, Botswana
Fig. 2. Nematode egg densities found in UP-samples (unpreserved, immediately analysed faecal samples) from wild elephants, categorised into two group types. Group 1 consists of groups with all female elephants and/or male elephants under the age of 15 years, and Group 2 consists of male elephants aged 15 years or more. Error bars show the standard deviation. EPG = eggs per gram of faeces.
Fig. 1 in Occurrence and seasonality of internal parasite infection in elephants, Loxodonta africana, in the Okavango Delta, Botswana
Fig. 1. The prevalence of coccidial oocysts in FP-samples (formalin-preserved faecal samples) from wild elephants, in each month (2008 to 2012 combined).
Fig. 3 in Occurrence and seasonality of internal parasite infection in elephants, Loxodonta africana, in the Okavango Delta, Botswana
Fig. 3. Photomicrographs of typical nematode (A) and trematode (= fluke, B) eggs found in elephant faecal samples. For dimensions see text.
Multi-decadal morphological evolution of tidally-influenced deltas
<p>This dataset contains the numerical model input and output data files (generated from the Delft3D modelling software) that are used to explore the influence of three key classes of environmental change, both individually and in combination: (i) varying combinations of fluvial water and sediment discharges ; (ii) varying rates of relative sea -level rise, and ; (iii) selected human interventions within the delta, comprising polder -dykes and cross -dams.</p> <p>The user will require 7.z software (free to download and use: https://www.7-zip.org/download.html) to unzip the downloaded data files. Delft3D modelling software (https://oss.deltares.nl/web/delft3d/download) and its post-processing tools such as quickplot or OpenEarth (https://www.deltares.nl/en/software/openearth/) will be required to view and process these model data files.</p>
Video supplement: A three-dimensional palaeo-reconstruction of the groundwater salinity distribution in the Nile Delta Aquifer
<p>Videos of validated models. The filenames indicate simulation code, for explanation see accompanying paper, submitted to HESS.</p> <p><strong>Abstract</strong></p> <p>The Nile Delta is an important agricultural area with a fast-growing population. Though traditionally irrigated with surface water, the delta increasingly relies on groundwater. However, saline groundwater extends far land inward, rendering groundwater close to the coastal zone useless for consumption or agriculture. To aid groundwater management decisions, hydrogeologists reconstructed this saline and brackish groundwater zone using variable-density groundwater models with very large dispersivities. However, this approach cannot explain the observed freshening of this zone as observed by hydrogeochemists, who hypothesize that the coastal saline zone is the effect of the Holocene transgression. Here, we investigated physical plausibility of this hypothesis by conducting a palaeo-reconstruction of groundwater salinity for the last 32 ka with a complex 3D variable-density groundwater flow model, using state-of-the-art model code that allows for parallel computation. Several scenarios with different lithologies and hypersaline groundwater provenances were simulated, of which five were selected that showed the best match with the observations. Amongst these selections, total fresh water volumes varied strongly, ranging from 1526 to 2659 km3, mainly due to uncertainties in the lithology offshore and at larger depths. This range is smaller (1511-1989 km3) when we consider the volumes of onshore fresh groundwater within 300 m depth. Regardless of the variance, in all cases the total volume of hypersaline groundwater exceeded that of sea water. We also show that during the last 32 ka, the total fresh groundwater volumes significantly declined, with a factor ranging from 1.9 to 5.4, due to the rising sea-level. Compared to a steady-state solution with present-day boundary conditions, the palaeo-reconstruction improved our validation for the saline zone (5 g/L – 35 g/L TDS). Also, under highly permeable conditions the marine transgression simulated with the palaeo-reconstruction led to a steeper fresh-salt interface compared to its steady-state equivalent, while low permeable clay layers allowed for the preservation of volumes of fresh groundwater. This shows that long-term transient simulations are needed when estimating present-day fresh-salt groundwater distribution in large deltas. The insights of this study are also applicable to other major deltaic areas, given the wide-range of lithological model scenarios used in this study and since many deltas also experienced a Holocene marine transgression.</p>
Hydroperiod map of Danube Delta for 2016/2017 and its accompanying INSPIRE metadata XML file
<p>The annual hydroperiod of wetlands, which is affected by global trends and human activities, is a critical<br> ecological parameter that shapes aquatic plants’ and animals’ distribution and determines available habitat<br> for many of the living organisms. Thus, its estimation is useful for the sustainable management of wetlands.</p> <p>The hydroperiod map of Danube Delta is named: "Danube_Delta_Hydroperiod_from_1st_Sept_2016_to_31st_Aug_2017_using_Sentinel_2_inundation_maps.tif". The pixel values range from 0 to 365 (or 366 for leap years) and denote the number of days a pixel is inundated within a year. The map is generated by interpolating satellite-derived inundation maps falling within the period indicated in its filename.</p> <p>The interpolation approach is the following: For two dates separated by n days, the occurrence of water is compared. If a pixel is inundated on both dates, then it is assumed inundated for n-days. If a pixel is not inundated on both dates, then it is assumed inundated for n/2 days. In the hydroperiod map, the total number of inundation days per pixel is determined by accumulating the inundated days throughout the desired time period.</p>
Figure 4 in Seasonal composition and population density of zooplankton in Lake Karaboğaz from the Kızılırmak Delta (Samsun, Turkey)
Figure 4. Seasonal distribution of the diversity in zooplankton; relationship between diversity, temperature, chlorophyll a, and salinity.
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