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Fig. 2 in Spatial, temporal, molecular, and intraspecific differences of haemoparasite infection and relevant selected physiological parameters of wild birds in Georgia, USA

Fig. 2. Average percent cell volume (PCV) values for five target bird species from Georgia (USA). Different letters indicate significant differences between bird species (p <0.05).

Fig. 3 in Environmental determinants of spatial and temporal variations in the transmission of Toxoplasma gondii in its definitive hosts

Fig. 3. Predicted relationships between NAO winter index and the probability of seropositivity for Toxoplasma gondii in all cats sampled; (a) juveniles and (b) adults. Points represent the observed seoprevalence values with 95% confidence intervals as whiskers. A median farm density (0.68 farm/km2) was used to calculate the predictions (full line). Minimal farm density (0 farm/km2) observed among sampled communes was used to calculate the minimal predictions of the model (dotted lines). High values of farm density (2 and 4 farms/km2) were used to calculate the maximal predictions of the model (dashed and dotted-dashed lines).

Fig. 2 in Environmental determinants of spatial and temporal variations in the transmission of Toxoplasma gondii in its definitive hosts

Fig. 2. Interannual variations in Toxoplasma gondii seroprevalence in the three types of cats standardised by age (bars) during the study period. Line segments represent the 95% confidence intervals for seroprevalence, and the numbers in brackets indicate the sample sizes. Wildcats (Felis s. silvestris), domestic cats (Felis s. catus) and hybrids are pooled.

Fig. 1 in Environmental determinants of spatial and temporal variations in the transmission of Toxoplasma gondii in its definitive hosts

Fig. 1. European wildcat (Felis s. silvestris) distribution in France (grey area; Léger et al., 2008; Say et al., 2012), and locations of samples from domestic cats (Felis s. catus), wildcats and their hybrids. Cat types are represented by different symbols (see the bottom left of the map). One location might correspond to several individuals (1, 2, 3, or 8), the size of the dot being proportional to the number (indicated at the right of the symbols) of individuals collected in each commune.

Fig. 7 in Fig. 7 in Coexistence of Juvenile with Adult at Culebra Beach, Panama: A Temporal-spatial Partitioning Compromise.

Fig. 7. Non-metric Multidimensional Scaling plot of the activity budget of the juvenile and adult Ocypode gaudichaudii from Culebra Beach superimposed with Bray-Curtis cluster analysis using 60% and 80% similarity. 2D stress = 0.15.

Fig. 3 in Fig. 7 in Coexistence of Juvenile with Adult at Culebra Beach, Panama: A Temporal-spatial Partitioning Compromise.

Fig. 3. Boxplots of the median carapace width and interquartile range of Ocypode gaudichaudii during the day and night at Culebra Beach. Dark bands represent medians, boxes represent interquartile range and whiskers represent 1.5 times the interquartile range.

Fig. 6 in Fig. 7 in Coexistence of Juvenile with Adult at Culebra Beach, Panama: A Temporal-spatial Partitioning Compromise.

Fig. 6. Mean proportion of time (± S.E.) that Ocypode gaudichaudii from Culebra Beach were engaged in seven behaviors after burrow emergence. ScF, scavenging; DepF, deposit-feeding; Probe, probing for food; BurM, burrow maintenance; Walk, walking; In bur, staying within the burrow; Rest, resting at the burrow entrance.

Fig. 2 in Fig. 7 in Coexistence of Juvenile with Adult at Culebra Beach, Panama: A Temporal-spatial Partitioning Compromise.

Fig. 2. Location of Culebra Beach with the inset showing a 30 × 30 m plot marked out as the sampling area across six five-metre zones (zone 1 to zone 6). The area was divided into 36 (5 × 5 m) quadrats.

Fig. 5 in Fig. 7 in Coexistence of Juvenile with Adult at Culebra Beach, Panama: A Temporal-spatial Partitioning Compromise.

Fig. 5. Burrow densities of the juvenile and adult Ocypode gaudichaudii in zones 1 to 3 of Culebra Beach during the night with respect to the high and low tide levels from 9 June to 29 November, 2012.

Fig. 4 in Fig. 7 in Coexistence of Juvenile with Adult at Culebra Beach, Panama: A Temporal-spatial Partitioning Compromise.

Fig. 4. Burrow densities of the juvenile and adult Ocypode gaudichaudii at zones 1 to 5 of Culebra Beach during the day with respect to the high and low tide levels from 9 June to 29 November, 2012.

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Fig. 1. Circular Bayesian tree inferred from mtDNA cox-2 in Temporal stability of parasite distribution and genetic variability values of Contracaecum osculatum sp. D and C. osculatum sp. E (Nematoda: Anisakidae) from fish of the Ross Sea (Antarctica)

Fig. 1. Circular Bayesian tree inferred from mtDNA cox-2 sequences obtained from specimens of C. osculatum sp. D and C. osculatum sp. E analysed in the present study, based on Bayesian Inference (BI) method using MrBayes v3.2.2 (Ronquist et al., 2012). Evolutionary distance was estimated using the TrN + G (G = 0.60) substitution model as implemented in jModeltest (Posada, 2008), with the AIC approach (Posada and Buckley, 2004). Posterior probability values are the result of 1.000000 of runs and are reported at the nodes. The coloured icons correspond to the two species considered in this study (red = C. osculatum sp. D and blue = C. osculatum sp. E).

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Fig. 2 in Temporal stability of parasite distribution and genetic variability values of Contracaecum osculatum sp. D and C. osculatum sp. E (Nematoda: Anisakidae) from fish of the Ross Sea (Antarctica)

Fig. 2. Schematic distribution of the fish species examined in the present study for larval of C. osculatum sp. D and C. osculatum sp. E, along the continental shelf of the Ross Sea coastal ecosystem. Arrows indicating preferred preys and the diet preference for each fish species are reported according to the literature (La Mesa et al., 2004). The represented pelagic organisms comprise species of euphausiids and fish juveniles, benthic and epibenthic organisms are polychaetes, amphipods, decapods and gastropods. A pie chart with the relative proportions of C. osculatum sp. D and C. osculatum sp. E is given for each fish species. Squares and circles represent the hypothetical distribution of C. osculatum sp. D and C. osculatum sp. E larvae in their intermediate hosts.

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Fig. 3 in Temporal stability of parasite distribution and genetic variability values of Contracaecum osculatum sp. D and C. osculatum sp. E (Nematoda: Anisakidae) from fish of the Ross Sea (Antarctica)

Fig. 3. Schematic representation of the hypothetic life-cycle of C. osculatum sp. D (a) and C. osculatum sp. E (b) in the Ross Sea.

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Fig. 2 in Temporal and demographic blood parasite dynamics in two free-ranging neotropical primates

Fig. 2. Individual infection status by parasite by year. Strength and thickness of lines are scaled to the number of individuals that took a given infection trajectory from one year to the next. Two diagonal lines span 2012‾2014 because those individuals were not sampled in 2013. The + symbols represent every infection or non-infection found across all individuals in the study.

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Fig. 3 in Temporal and demographic blood parasite dynamics in two free-ranging neotropical primates

Fig. 3. Parasite species richness by species, age class and sex. Colors represent females (black) and males (gray).

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Fig. 1 in Temporal and demographic blood parasite dynamics in two free-ranging neotropical primates

Fig. 1. Annual prevalence of single- and co-infections by species. Prevalence indicated for each parasite (dark gray), and each pairwise combination of parasites (light gray). Numbers near the top of each bar show the exact prevalence; black lines indicate 95% confidence intervals; dots indicate expected levels of co-infection (refer to Section 3.2). M-D is co-occurrence of M. mariae and Dipetalonema spp., D-T is Dipetalonema spp. and T. minasense, and M-T is M. mariae and T. minasense.

Fig. 4 in Spatio-temporal variation in prevalence and intensity of trematodes responsible for waterfowl die-offs in faucet snail-infested waterbodies of Minnesota, USA

Fig. 4. Models of Cyathocotyle bushiensis (Cb) and Sphaeridiotrema spp. (Sg) metacercarial prevalence (prev) and intensity (int) in the waterbodies we studied in northern Minnesota during 2011‾2013; a) East Winnibigoshish index area, b) West Winnibigoshish index area, c) Lower Twin Lake, d) Crow Wing River, e) White Earth ponds, f) Shell River. Depth_cm is water depth at the sampling location. Dist.scaup is the minimum Euclidean distance between a given waypoint and the nearest point sampled under a raft of scaup in either the same season, or up to two seasons prior in that same year. Log.abund is the log transformed snail abundance at a sampling point. Size.mean is the mean snail size at a sampling point. Year2012 and Year2013 are comparisons between samples collected in 2011 vs 2012 and 2011 vs 2013, respectively.

Fig. 3 in Spatio-temporal variation in prevalence and intensity of trematodes responsible for waterfowl die-offs in faucet snail-infested waterbodies of Minnesota, USA

Fig. 3. Average intensity of (a) Cyathocotyle bushiensis (Cb) and (b) Sphaeridiotrema spp. (Sg) metacercariae in each of the waterbodies studied in northcentral Minnesota during nine seasons in 2011‾2013 with 95% confidence intervals. Note that waterbody specific y-axis scales are used to highlight differences within a waterbody.

Fig. 2 in Spatio-temporal variation in prevalence and intensity of trematodes responsible for waterfowl die-offs in faucet snail-infested waterbodies of Minnesota, USA

Fig. 2. Average prevalence of (a) Cyathocotyle bushiensis (Cb) and (b) Sphaeridiotrema spp. (Sg) metacercariae in each of the waterbodies studied in northcentral Minnesota during nine seasons in 2011‾2013 with 95% confidence intervals.

Fig. 1 in Spatio-temporal variation in prevalence and intensity of trematodes responsible for waterfowl die-offs in faucet snail-infested waterbodies of Minnesota, USA

Fig. 1. Map of study area in northcentral Minnesota depicting the study lakes with county boundaries, within the state and USA.