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FIG. 4 in Non-pollen palynomorph and palynofacies assemblages from the Lower Cretaceous of Iraq: A glimpse into palaeobiology and palaeoenvironment

FIG. 4. — Photomicrographs of microforaminiferal linings illustrating variable differences in the degree of pigmentation and preservation:A, coiled form, P points to proloculus and T refers to terminal last chamber, 09-234-2_K52; B, coiled form, arrows point to pyrites infills and pseudomorphs in the chambers of a foraminiferal test, 09-234-2_H45; C, coiled form, arrows point to Pyritospheres (Love, 1957) infills and pseudomorphs in the chambers of a foraminiferal test, 09-234-2_D49; D, coiled form, arrows point to pyrites infills and pseudomorphs in the chambers of a foraminiferal test, taken with SEM, 09-262-2; E, coiled form, 09-262-3_K45; F, coiled form, 09-262-3_Q49; G, coiled form, 09-262-3_R47; H, coiled form, 09-262-2_S43;I, coiled form, 09-234-2_L47; J, coiled form, 09-262-03_K41; K, coiled form, 09-262-3_M44; L, coiled form, 09-242-3_F36; M, coiled form, 09-242-3_L42; N, coiled form, 09-262-1_N41; O, coiled form, 09-242-3_Q50; P, coiled form strongly invaded with pyrite, 09-262-1_B44. Scale bars: 20 μm.

FIG. 1 in Non-pollen palynomorph and palynofacies assemblages from the Lower Cretaceous of Iraq: A glimpse into palaeobiology and palaeoenvironment

FIG. 1. — Tectonic map of Iraq showing hydrocarbon accumulations in Mesopotamian Basin and Zagros fold belt, and the approximate locations of the studied wells in southern Iraq. Abbreviations: R, Rumaila North; Ru, Rumaila South; Zb, Zuabir; Su, Subba. Modified after Pitman et al. (2004) and Abeed et al. 2013).

FIG. 6 in Non-pollen palynomorph and palynofacies assemblages from the Lower Cretaceous of Iraq: A glimpse into palaeobiology and palaeoenvironment

FIG. 6. — Palynofacies assemblages retrieved from the Yamama Formation: A, palynofacies dominated by AOM seen under transmitted light, 09-242-1_E43 (reillustrated from El Atfy et al. 2016); B, non-fluorescent AOM; 09-242-1_E43 (re-illustrated from El Atfy et al. 2016); C, palynofacies assemblage composed mainly of fine granular, yellow to grey marine AOM, presumably of algal origin that contains pyrite crystals, dinocysts and microforaminiferal linings, 09-234-3_X42; D, transmitted light shows brown particles,membranes, thin films and amorphous substances, presumed to represent biodegraded terrestrial AOM, 09-243-1_E43 (re-illustrated from El Atfy et al. 2016); E, non-fluorescent AOM, 09-243-1_E43 (re-illustrated from El Atfy et al. 2016); F, gelified AOM, presumably of terrestrial origin palynofacies assemblages, 09-243-2_V33; G, Leiosphaeridia Eisenack, 1958 cluster, 09-234-3_Q49; H, resin particles seen in transmitted light showing different degrees of angularity and also cracking on the surface, 09-242-3_Q35; I, equidimensional opaque/microcharcoal particle, 09-262; J, Palambages relic structures in AOM matrix and opaque organic matter, 09-234-3_O48; K, framboidal pyrite, 09-234; L, partially oxidized pyrite aggregates, 09-255. Scale bars: 20 μm.

FIG. 2 in Non-pollen palynomorph and palynofacies assemblages from the Lower Cretaceous of Iraq: A glimpse into palaeobiology and palaeoenvironment

FIG. 2. — Quantitative representation of the percentages for the recorded NPPs in the studied samples: A, 09-234; B, 09-242; C, 09-243; D, 09-255; E, 09-262.

FIG. 3 in Non-pollen palynomorph and palynofacies assemblages from the Lower Cretaceous of Iraq: A glimpse into palaeobiology and palaeoenvironment

FIG. 3. — The palynological assemblage of the Yamama Formation: A, colony of degraded Botryococcus Kützing, 1849 seen in transmitted white light. Note characteristic globular outline and lustrous yellow colour; 09-262-2_P47; B, isolated coenobium of degraded Botryococcus colony seen in transmitted white light; 09-234-1_P35; C, colony of Botryococcus fluorescing under incident blue light illumination, the globular outline of the cells is very clear however, the cell cups are not clearly visible; 09-234_P35; D, Palambages sp., 09-242-3_P36; E, Palambages sp., 09-262-2_W40, arrow refers to loophole (= Schlüpfloch of Gocht & Wille 1972); F, Palambages sp., 09-262-3_G36, arrow refers to loophole (= Schlüpfloch of Gocht & Wille 1972); G, Palambages sp., 09-262-3_G40, arrows refer to loophole (= Schlüpfloch of Gocht & Wille 1972); H, marine prasinophyte phycoma of the genus Pterospermella Eisenack, 1972, 09-262-1_H53; I, dinocyst Batioladinium micropodum (Eisenack & Cookson, 1960) Brideaux, 1975, 09-234-1_R56; J, dinocyst, 09-234-1_M50; K, dinocyst, Cribroperidinium sp., 09-234- 1_N53; L, Leiosphaeridia sp., 09-255-3_G53; M, Leiosphaeridia sp., 09-262-3_T37; N, Leiosphaeridia sp., 09-234-3_S51; O, Leiosphaeridia sp., 09-255, arrow points to a possible encystment opening. Scale bars: 20 μm.

opencc-by-4.0Dec 2017View details →

Fig. 2 in Assemblage of drosophilids (Diptera, Drosophilidae) inhabiting flooded and nonflooded areas in the extreme South of Brazil

Fig. 2. Non-metric multi-dimensional scaling (NMS) ordination of the set of sampling points, according to Bray–Curtis dissimilarity measures. The plot represents the minimum convex polygon. Numbers refer to the different collection points, according to Table 1: 1–8 (in red), flooded areas; 9–15 (in blue), nonflooded areas.

opencc-by-4.0Jul 2022View details →

Eurasian beaver – A semi-aquatic ecosystem engineer rearranges the assemblage of terrestrial mammals in winter - dataset

Dataset to paper of Fedyń, I., Przepióra, F., Sobociński, W., Wyka, J., & Ciach, M. (2022). Eurasian beaver–A semi-aquatic ecosystem engineer rearranges the assemblage of terrestrial mammals in winter. Science of The Total Environment, 831, 154919 (<a href="https://doi.org/10.1016/j.scitotenv.2022.154919">https://doi.org/10.1016/j.scitotenv.2022.154919</a>).

opencc-by-4.0Jun 2023View details →

Fig. 4A-D in The impact of urban warfare on the structure of ant assemblages on trees (Hymenoptera: Formicidae)

Fig. 4A-D – Multivariate linear regression (1 independent, n dependent) for different parameters: A – between degree of damage and number of ants; B – between number of ants and tree diameter; C – between dendrobiont (nesting in trees) ants and degree of damage; D – between herpetobiont (nesting in soil) ants and degree of damage.

opencc-by-4.0Jun 2023View details →

Fig. 2A-F in The impact of urban warfare on the structure of ant assemblages on trees (Hymenoptera: Formicidae)

Fig. 2A-F – Degrees of damaged trees. A – undamaged trees, B – 1st degree of damage, C – 2nd degree, D – 3rd degree; E – 4th degree; F – 5th degree. Black arrows indicate superficial damage to the tree bark, red arrows indicate deep damage to conductive tissues, yellow arrows - destruction of the upper part of the tree trunk, blue arrows - irreparable damage to the tree (destruction of the trunk).

opencc-by-4.0Jun 2023View details →

Fig. 1A-B in The impact of urban warfare on the structure of ant assemblages on trees (Hymenoptera: Formicidae)

Fig. 1A-B – Investigated locations in the Kyiv region: A – Bucha; B – Irpin. Areas of cities affected by military operations are highlighted in red. Data by UN Satellite Center.

FIG. 4 in Lichen community assemblages and functional traits as indicators of vegetation types in central Mexico, based on herbarium specimens

FIG. 4. — Community weighted mean proportions of functional traits for each vegetation type: A, growth forms; B, substrate; C, reproductive structure types; D, photobionts.

FIG. 3 in Lichen community assemblages and functional traits as indicators of vegetation types in central Mexico, based on herbarium specimens

FIG. 3. — Ordination and clustering of lichen communities from the different vegetation types: A, non-parametric multidimensional scaling (NDMS); B, cluster analysis dendrogram. The sites Cerro el Capulín and Cerro Juan el Grande show different affinities in both analyses (part of the xerophytic shrubland in the NDMS, but more similar to the Quercus L. forest in the dendrogram, labeled as the Xerophytic-Quercus group in the latter).

FIG. 5 in Lichen community assemblages and functional traits as indicators of vegetation types in central Mexico, based on herbarium specimens

FIG. 5. — Non-metric Multidimensional Scaling analysis of lichen community functional traits and environmental variables in three vegetation types. * (p <0.05) and ** (p <0.005) represent the significance of functional traits related to the Xerophytic shrubland (X), Subtropical shrubland (S), and Quercus L. forest (Q).

FIG. 1 in Lichen community assemblages and functional traits as indicators of vegetation types in central Mexico, based on herbarium specimens

FIG. 1. — Amplitude and mean values of alpha diversity (species richness) per vegetation type. Symbols: black dot, outlier; white dots, mean values.

FIG. 6 in Lichen community assemblages and functional traits as indicators of vegetation types in central Mexico, based on herbarium specimens

FIG. 6. — Correlation of lichen community functional traits and environmental variables in three vegetation types.

FIG. 2 in Lichen community assemblages and functional traits as indicators of vegetation types in central Mexico, based on herbarium specimens

FIG. 2. — Beta diversity and shared species per vegetation type: A, pairwise comparisons of the different elements of beta diversity (Xerophytic, xerophytic shrubland; Quercus, Quercus forest; Subtropical, subtropical shrubland); B, Venn diagram showing exclusive and shared species among the vegetation types included in this study.

opencc-by-4.0Aug 2023View details →

Dataset of the Geometric Morphometric Analysis of the article "Blank predetermination in the Iberian Acheulean. Insight from the cleaver on flake assemblage from Casal do Azemel site (Leiria, Portugal) by a Geometric Morphometric approach"

Raw data and datasets of the Geometric Morphometric Analysis performed in the article "Blank predetermination in the Iberian Acheulean. Insight from the cleaver on flake assemblage from Casal do Azemel site (Leiria, Portugal) by a Geometric Morphometric approach". Contains the raw data, the Generalised Procrustes Analysis dataset, the Elliptic Fourier Analysis dataset and all the variables tested (on the EFA dataset).

opencc-by-4.0Dec 2019View details →

Fig. 1 in First Molecular Detection of Giardia duodenalis Assemblage B in a Free-Living European Wildcat (Felis s. silvestris) from Luxembourg

Fig. 1. Neighbor-joining distance analysis of the β-giardin nucleotide sequences. FS1 – sequence of partial β-giardin gene of the isolate from wildcat (KX685669). Reference human isolates: WB and KC8, (X85958 and AY072723); LD18, Nij5, VAN/90/UBC/44, GH- 202 (AY072727, AY072725, KP687755, AB618785); A101 and – cat isolate, (AY647264 and EU769206); P15 – reference cow isolate, (AY072729); A29 and A27 – reference dog isolates (AY545646 and AY545648). G. muris (AY258618) represents an outgroup.

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Environmental DNA highlights the influence of salinity and agricultural run-off on coastal fish assemblages in the Great Barrier Reef region

Agricultural run-off in Australia's Mackay-Whitsunday region is a major source of nutrient and pesticide pollution to the coastal and inshore ecosystems of the Great Barrier Reef. While the effects of run-off are well documented for the region's coral and seagrass habitats, the ecological impacts on estuaries, the direct recipients of run-off, are less known. This is particularly true for fish communities, which are shaped by the physico-chemical properties of the coastal waterways that vary greatly in tropical regions. To address this knowledge gap, we used environmental DNA (eDNA) metabarcoding to examine teleost and elasmobranch fish assemblages at four locations (three estuaries and a harbour) subjected to varying levels of agricultural run-off during a wet and dry season. Pesticide and nutrient concentrations were markedly lower during the sampled dry season. With the influx of freshwater and agricultural run-off during the wet season, teleost and elasmobranch taxa richness significantly decreased in all three estuaries, along with pronounced changes in fish community composition which were largely associated with environmental variables (particularly salinity). In contrast, the nearby Mackay Harbour exhibited a far more stable community structure, with no marked changes in fish assemblages observed between the sampled seasons. Within the wet season, differing compositions of fish communities were observed among the four sampled locations, with this variation being significantly correlated with environmental variables (salinity, chlorophyll, DOC) and contaminants from agricultural run-off, i.e., nutrients (nitrogen and phosphorus) and pesticides. Historically contaminated and relatively unimpacted estuaries each demonstrated distinct fish communities, reflecting their associated catchment use. Our findings emphasise that while seasonal effects (e.g., changes in salinity) play a key role in shaping the community structure of estuarine fish in this region, agricultural contaminants (nutrients and pesticides) are also important contributors in some systems.

opencc-zeroSep 2023View details →