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Figure 2 in Impact of aquatic habitat environment on the elemental composition and shell shape variability of the Beringian freshwater mussel Beringiana beringiana (Bivalvia, Unionidae)

Figure 2. Shells of Beringiana beringiana specimens, collected from studied waterbodies: A – Kurazhechnoye Lake, Kamchatka Peninsula (voucher number RMBH biv1212/2), B – Vaskovskoye Lake, Primorsky Krai (RMBH biv1181/1), C – Lebedinoye Lake, Iturup Island (RMBH biv1254/2), D – Bolshoye Vavayskoye Lake, Sakhalin Island (RMBH biv1250/1), E - Peschanoye Lake, Kunashir Island (RMBH biv1251/1), F – Khalaktyrskoye Lake, Kamchatka Peninsula (RMBH biv1213/3). Scale bar = 50 mm.

Figure 1 in Impact of aquatic habitat environment on the elemental composition and shell shape variability of the Beringian freshwater mussel Beringiana beringiana (Bivalvia, Unionidae)

Figure 1. Map of the studied region. Lakes: (1) Kurazhechnoye, Kamchatka Peninsula (n = 5), (2) Khalaktyrskoye, Kamchatka Peninsula (n = 5), (3) Lebedinoye, Iturup Island (n = 3), (4) Peschanoye, Kunashir Island (n = 3), (5) Chernoye, Sakhalin Island (n = 3), (6) Bolshoye Vavayskoye, Sakhalin Island (n = 3), (7) Vaskovskoye, Primorsky Krai (n = 3). n reveals the number of collected shells of Beringiana beringiana.

Figure 3. Principal components 1 and 2 in Impact of aquatic habitat environment on the elemental composition and shell shape variability of the Beringian freshwater mussel Beringiana beringiana (Bivalvia, Unionidae)

Figure 3. Principal components 1 and 2 visualized by drawing synthetic outlines of extreme (±2SD) and mean shell shapes of Beringiana beringiana. The umbo position marked by star.

Figure 11 in Impact of aquatic habitat environment on the elemental composition and shell shape variability of the Beringian freshwater mussel Beringiana beringiana (Bivalvia, Unionidae)

Figure 11. Relationships between values of KAl and longitudinal cross-sectional area of shell (mm2), d Shell/Sediment revealed from the shell shape analysis of Beringiana beringiana. For the numbers of localities see caption for Figure 7.

Figure 7 in Impact of aquatic habitat environment on the elemental composition and shell shape variability of the Beringian freshwater mussel Beringiana beringiana (Bivalvia, Unionidae)

Figure 7. Relationships between Ca-normalized concentration of zinc in shells and principal component 1, (A), copper in shells and principal component 1 (B), revealed from the shell shape analysis of Beringiana beringiana: (1) Peschanoye Lake, Kunashir Island, (2) Lebedinoe Lake, Iturup Island, (3) Bolshoye Vavayskoye Lake, Sakhalin Island, (4) Kurazhechnoye Lake, Kamchatka Peninsula, (5) Vaskovskoye Lake, Primorsky Krai, (6) Khalaktyrskoye Lake, Kamchatka Peninsula.

Figure 10 in Impact of aquatic habitat environment on the elemental composition and shell shape variability of the Beringian freshwater mussel Beringiana beringiana (Bivalvia, Unionidae)

Figure 10. Relationships between values of Kd Shell/Water Al (A), Kd Shell/Water P (B), Kd Shell/Water Fe (C) and longitudinal cross-sectional area of shell (mm2), revealed from the shell shape analysis of Beringiana beringiana. For the numbers of localities see caption for Figure 7.

Figure 9 in Impact of aquatic habitat environment on the elemental composition and shell shape variability of the Beringian freshwater mussel Beringiana beringiana (Bivalvia, Unionidae)

Figure 9. Relationships between Zn: Ca – ratio in Beringiana beringiana shells and longitudinal cross-sectional area of shell (mm2), revealed from shell shape analysis of Beringiana beringiana. For the numbers of localities see caption for Figure 7.

opencc-by-nc-nd-4.0Jul 2024View details →

Geologic Map of Tyre Impact Crater on the Galilean Moon Europa - Digitized and Modified Versions (2024)

Geologic Map of Tyre Impact Crater on the Galilean Moon Europa - Digitized and Modified Versions (2024) Files and deliverable documentation of the process of digitizing the geologic map of Tyre, Kadel et al. 2000. This may be useful if you are looking to learn how to digitize a geologic map using some form of mapping software, or to learn about the surface geology of Jupiter's icy moon Europa.  Includes: <ul> <li>read.me with supporting information</li> <li>map package</li> <li>Georeferenced PDF figures </li> <li>Shapefiles </li> </ul>

Fig. 2 in Impacts of ontogenetic dietary shifts on the food-transmitted intestinal parasite communities of two lake salmonids

Fig. 2. Correlation between the mean number of parasite taxa and mean length among the different size classes of Arctic charr and brown trout with a 95% confidence interval.

Fig. 1 in Impacts of ontogenetic dietary shifts on the food-transmitted intestinal parasite communities of two lake salmonids

Fig. 1. Frequency of occurrence of prey categories in the diet of a) Arctic charr and b) brown trout throughout their ontogenesis. Prey categories not related to intestinal parasite transmission are excluded.

Fig. 4 in Impacts of ontogenetic dietary shifts on the food-transmitted intestinal parasite communities of two lake salmonids

Fig. 4. Nonmetric multidimensional scaling (NMDS) plot on Bray-Curtis distances of a) Arctic charr and b) brown trout showing dissimilarity in parasite community composition between different size classes including 95% confidence intervals ellipses. NMDS converged on a three-dimensional solution with an acceptable stress level.

Fig. 7 in Impacts of ontogenetic dietary shifts on the food-transmitted intestinal parasite communities of two lake salmonids

Fig. 7. Canonical correspondence analysis (CCA) performed on parasite abundances as a function of presence-absence of prey types and fish length in a) Arctic charr and b) brown trout (Cre. = Crepidostomum spp., Cya. = Cyatocephalus truncatus, Eub.s. = Eubothrium salvelini, Eub.c. = Eubothrium crassum, Pro. = Proteocephalus sp., Dib. = Dibothriocephalus spp.).

Fig. 5 in Impacts of ontogenetic dietary shifts on the food-transmitted intestinal parasite communities of two lake salmonids

Fig. 5. Differences in parasite community composition between Arctic charr and brown trout using nonmetric multidimensional scaling (NMDS) plot on Bray-Curtis distances, including 95% confidence interval ellipses. NMDS converged on a three-dimensional solution with an acceptable stress level.

Fig. 3 in Impacts of ontogenetic dietary shifts on the food-transmitted intestinal parasite communities of two lake salmonids

Fig. 3. Prevalence of intestinal parasites in Arctic charr (black) and brown trout (grey) throughout their ontogenesis with 95% confidence intervals.

opencc-by-4.0Dec 2020View details →

Fig. 1 in Review on parasites of wild and captive giant pandas (Ailuropoda melanoleuca): Diversity, disease and conservation impact

Fig. 1. Distribution of wild giant pandas in six mountain regions (Qinling, Minshan, Qionglai, Liangshan, Daxiangling and Xiaoxiangling) in three Provinces (Gansu, Shaanxi, and Sichuan) of China. Adapted from Wang et al. (2018).

opencc-by-4.0Apr 2022View details →

Fig. 1 in Impact of host plant resistance on emergence, body parameters, and supercooling point of Cylas formicarius elegantulus (Coleoptera: Brentidae)

Fig. 1. Daily (Mean ± SE) sweetpotato weevil emergence 30 d afer oviposition from individual storage roots of sweetpotato cultivars 'Beauregard,' 'Evangeline,' and 'Murasaki.'

opencc-by-4.0Dec 2019View details →

Fig. 2 in Impacts of a highway on the population genetic structure of a threatened freshwater turtle (Glyptemys insculpta)

Fig. 2. Estimate of short-term gene flow among populations north and south of Interstate Highway 88 (gray bar) and the Susquehanna River (dashed line) shown with 95% confidence intervals. Circle size reflects relative sample size. Values inside of circles represent the contribution of gene flow from within populations.

opencc-by-4.0Dec 2019View details →

Fig. 1. Study area. Interstate Highway 88 in Impacts of a highway on the population genetic structure of a threatened freshwater turtle (Glyptemys insculpta)

Fig. 1. Study area. Interstate Highway 88 (I-88) and the Susquehanna River (Susq.) bisect Otsego and Delaware Counties, New York, USA.

opencc-by-4.0Jul 2020View details →

Fig. 2 in Impact of years in bahiagrass and cultivation techniques in organic vegetable production on epigeal arthropod populations

Fig. 2. Mean abundance of total predatory beetles during the 4 crop rotation in 2013. An asterisk (*) denotes significant effects (P <0.05) of yr in bahiagrass. Double asterisks (**) denote significant effects of tillage method.