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Figure 5 in Biogeography of marine tintinnid ciliates (Ciliophora, Tintinnida): a Scale-Dependent Model

Figure 5. Species accumulation curve for tintinnid ciliates diversity in the Black Sea and the Sea of Azov.

Figure 8 in Biogeography of marine tintinnid ciliates (Ciliophora, Tintinnida): a Scale-Dependent Model

Figure 8. Results of cluster analysis (Simpson index) of species compositions of tintinnid ciliates in the Mediterranean Sea; in nodes of dendrogram, the results of bootstrap-analysis are marked.

Figure 14 in Biogeography of marine tintinnid ciliates (Ciliophora, Tintinnida): a Scale-Dependent Model

Figure 14. Results of cluster analysis (Simpson index) of species compositions of tintinnid ciliates in the Indian Ocean; in nodes of dendrogram, the results of bootstrap-analysis are marked.

Figure 6 in Biogeography of marine tintinnid ciliates (Ciliophora, Tintinnida): a Scale-Dependent Model

Figure 6. Results of cluster analysis (Simpson index) of species compositions of tintinnid ciliates in the Black Sea and the Sea of Azov; in nodes of dendrogram, the results of bootstrap-analysis are marked.

Figure 3 in Biogeography of marine tintinnid ciliates (Ciliophora, Tintinnida): a Scale-Dependent Model

Figure 3. Results of cluster analysis (Simpson index) of species compositions of tintinnid ciliates in the Sevastopol Bay; in nodes of dendrogram, the results of bootstrap-analysis are marked.

Figure 2 in Biogeography of marine tintinnid ciliates (Ciliophora, Tintinnida): a Scale-Dependent Model

Figure 2. Species accumulation curve for tintinnid ciliates collected in Sevastopol Bay of the Black Sea.

Figure 1 in Biogeography of marine tintinnid ciliates (Ciliophora, Tintinnida): a Scale-Dependent Model

Figure 1. Sample sites in the Sevastopol Bay: 1 - "2 miles"; 2 – "Ravelin"; 3 – "Cape of the Pontoon crossing"; 4 – "Sukharnaya Beam". Modified from Gavrilova & Dovgal (2019b).

Figure 18 in Biogeography of marine tintinnid ciliates (Ciliophora, Tintinnida): a Scale-Dependent Model

Figure 18. Results of cluster analysis (Simpson index) of species compositions of tintinnid ciliates in the Southern Ocean; in nodes of dendrogram, the results of bootstrap-analysis are marked.

Figure 3 in Divensification oven deep and shallow teiponal scales in the Holanctic genus Perpolita (Gastnopoda: Gastnodontidae)

Figure 3. Maximum likelihood phylogeny of the genus Perpolita inferred from 1 171 157 bp that was obtained from ddÞD-seq. Ŋe species names in the dashed boxes indicate the original species name before the revision if different from the name after revision. Detailed information on each sample and 95% CI can be found in Supporting Information, Table º1.

Figure 6 in Divensification oven deep and shallow teiponal scales in the Holanctic genus Perpolita (Gastnopoda: Gastnodontidae)

Figure 6. Development of shell bottom sillons: (a–c) P. radiatella; (a) H390, Belarus; (b) H340, Alaska; (c) H346, Czechia; (d–f) P. hammonis; (d) H046, Switzerland; (e) H382, France; (f) H432, Latvia; (g) P. petronella, H038, Norway; (h) P. electrina, H207, Ontario; (i) P. binneoana, H216, Alaska. ºee Supporting Information, Figure º4 for detail of P. radiatella and P. hammonis shell bottom microsculpture.

Figure 2 in Divensification oven deep and shallow teiponal scales in the Holanctic genus Perpolita (Gastnopoda: Gastnodontidae)

Figure 2. Maximum likelihood phylogenies of the genus Perpolita inferred from mitochondrial cytochrome b, and two nuclear regions [i.e. Internal Transcribed Spacer 1 of the rRNA gene casseưe (ITº1) and Intron 8 of the Embryonic Lethality and Abnormal Visual System]. Ŋe white and grey circles on each node indicate the level of support values in ultrafast bootstrapping and Bayesian posterior probability. Ŋe labels at the branch tips indicate the number of collapsed sequences and the region in which they were sampled. Ŋe species names in the dashed boxes indicate the original species name before the revision if different from the name after revision. Detailed information on each sample and 95% CI can be found in the Supporting Information (Table º1; Fig. º3).

Figure 1 in Divensification oven deep and shallow teiponal scales in the Holanctic genus Perpolita (Gastnopoda: Gastnodontidae)

Figure 1. Distribution of Perpolita occurrences used in this study. Ŋe black crosses indicate all examined samples, and the coloured dots represent samples used in the molecular analyses. Map retrieved from Natural Earth (hưps://www.naturalearthdata.com/), and presented with the azimuthal equidistance projection centred on the North Pole using QGIº 3.16 (QGIº Development Team 2020).

Figure 5 in Divensification oven deep and shallow teiponal scales in the Holanctic genus Perpolita (Gastnopoda: Gastnodontidae)

Figure 5. ºhell images of each Perpolita species from genetically validated populations (see Supporting Information, Table º1 for location details defined by sample code): (a) P. binneoana (H216_1; Alaska), (b) P. electrina (H207_1; Main), (c) P. radiatella (H284_1; Japan), (d) P. hammonis (H382_1; France), (e) P. petronella (H040_1; Altai Republic).

Figure 7 in Divensification oven deep and shallow teiponal scales in the Holanctic genus Perpolita (Gastnopoda: Gastnodontidae)

Figure 7. Potential distribution probability of each Perpolita species estimated by ecological niche modelling using 1.3-9 in R (Hijmans et al. 2021). Ŋe best models for each species, selected by the area under the curve based on cross-validation were used for the estimates. Occurrences on the map are environmentally pruned samples for modelling. Ŋe estimated ice sheets at the LGM are based on Ehlers et al. (2011) and the LGM climate is based on CCºM4.

Figure 4 in Divensification oven deep and shallow teiponal scales in the Holanctic genus Perpolita (Gastnopoda: Gastnodontidae)

Figure 4. Divergence time estimation of the genus Perpolita on the maximum likelihood tree. Ŋe red circle indicates the node calibrated by the oldest known Perpolita fossil, and the integer number by the node referred to the node number. Ŋe blue bars at each node indicate 95% CI estimated with RelTime. Ŋe species names in the dashed boxes indicate the original species name before the revision if different from the name after revision. Detailed information on each sample and 95% CI can be found in Supporting Information (Tables º1, º3).

Fig. 2 in A survey of scale insects (Hemiptera: Coccoidea) in citrus orchards in São Paulo, Brazil

Fig. 2. Percentage of Citrus trees infested by each species of scale insect collected in the state of São Paulo between Sep 2014 and Sep 2015. Downloaded From: https://bioone.org/journals/Florida-Entomologist on 07 Aug 2024 Terms of Use: https://bioone.org/terms-of-use

Fig. 1 in A survey of scale insects (Hemiptera: Coccoidea) in citrus orchards in São Paulo, Brazil

Fig. 1. Map of the state of São Paulo (Brazil), indicating micro-regions where collections were conducted.

Fig. 2 in Analyzing the mass-rearing system of the California red scale parasitoid Aphytis melinus (Hymenoptera: Aphelinidae)

Fig. 2. Production of Aphytis melinus over the period in which the pilot system was working, from 18 March 2010 to 20 Jun 2011: (a) Total production per day, when different cages were in production at the same time and collection was every 2 to 3 days; (b) Total production per cage. Each bar in (b) represents the production of an individual cage, and is displayed as the date when parasitoid emergence began.

Fig. 1 in Analyzing the mass-rearing system of the California red scale parasitoid Aphytis melinus (Hymenoptera: Aphelinidae)

Fig. 1. Parasitoid (Aphytis melinus) production (as percentage of the total production given as mean ± SE) in the production cages: (a) daily emergence; (b) cumulative emergence.