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Fig. 6 in Toxocara canis-induced changes in host intestinal microbial communities

Fig. 6 Correlation networks of the microbiome. a Heatmap of correlation coefficients in the CI, II and Tc groups. b Network map between species. Each node in the graph represents a species, with the color of the dot representing the highest relative abundance observed within these subgroups.The size of the dot corresponds to the average relative abundance of the species, with larger dots indicating higher abundance.The species are connected to each other through straight lines, with the color pink indicating a positive correlation and blue indicating a negative correlation. The thickness of the lines reflects the magnitude of the correlation, with only correlation coefficients> 0.2 between species being displayed

Fig. 3 in Toxocara canis-induced changes in host intestinal microbial communities

Fig. 3 Comparison of beta diversity indicator of flora among CI, II and Tc groups. a Unweighted uniFrac analysis, b Weighted uniFrac analysis, c Partial least-squares discriminant analysis. CI, Intestine samples of dogs in control group; II, intestine samples of dogs in infected group; plsda, partial least-squares discriminant analysis; Tc, Toxocara canis samples

Fig. 5 in Toxocara canis-induced changes in host intestinal microbial communities

Fig. 5 Differences in species composition of flora in the CI, II and Tc group at the genus level. The horizontal coordinate is the sample name and the vertical coordinate is the relative abundance of the species annotated. Species not annotated at this taxonomic level and whose abundance was <0.5% of the sample were combined as "Others" (a). b The top 10 species at the genus level in the CI, II and TI group. Note that the significance of the test of difference was marked with an asterisk at the top of the bar graph if available. CI, Intestine samples of dogs in control group; II, intestine samples of dogs in infected group; Tc, Toxocara canis samples

Fig. 2 in Toxocara canis-induced changes in host intestinal microbial communities

Fig. 2 Boxplots showing comparisons of the alpha diversity indicators of flora among the three experimental groups. a Coverage index, b Chao index, c Shannon index, d Ace index. CI, Intestine samples of dogs in control group; II, intestine samples of dogs in infected group; Tc, Toxocara canis samples

Fig. 1 in Toxocara canis-induced changes in host intestinal microbial communities

Fig. 1 OTU cluster analysis. OTUs were generated according to 97% sequence similarity clustering. a Venn diagram of the unique and common OTUs among the three groups. b Rank-abundance curves. c Rarefaction curve. d Species accumulation curve. CI, Intestine samples of dogs in control group; II, intestine samples of dogs in infected group; OTU, operational taxonomic unit; Tc, Toxocara canis samples

opencc-by-4.0Feb 2024View details →

Data from: Temporal changes in taxonomic and functional alpha and beta diversity across tree communities in subtropical Atlantic forests

<h2><strong>The study is published in Oikos and available at: <a href="https://doi.org/10.1111/oik.10961">https://doi.org/10.1111/oik.10961</a></strong></h2> <p>Here we aim to assess temporal taxonomic and functional alpha and beta diversity of adult and juvenile tree communities across 11 sites in the subtropical Brazilian Atlantic Forest to infer about trends and drivers of biodiversity change. The tree communities were evaluated for temporal changes in: (1) taxonomic and functional alpha diversity, (2) taxonomic and functional composition (beta diversity), and (3) identifying potential abiotic and biotic drivers of these changes, considering three censuses across a period of 10 years.</p> <p> </p> <h2>Files description:</h2> <p><strong>traits-adults.csv</strong> - adult tree species and their functional traits values.</p> <p><strong>traits-juveniles.csv</strong> - juvenile tree species and their functional trait values.</p> <p><strong>abundance-adults_synthesis.csv</strong> - adult tree species abundance over the three time periods of forest surveys (T1, T2, and T3). Raw data on tree individual level is available at ForestPlots.net database (<a href="https://forestplots.net/">https://forestplots.net/</a>) under request.</p> <p><strong>abundance-juveniles_synthesis.csv</strong> - juvenile tree species abundance over the three time periods of forest surveys (T1, T2, and T3). Raw data on tree individual level is available at ForestPlots.net database (<a href="https://forestplots.net/">https://forestplots.net/</a>) under request.</p> <p>Functional traits abbreviations are defined as follows: LA = leaf area; SLA = specific leaf area; WD = wood density; SM = seed mass; range_temp = range of mean annual temperature; range_CWD = range of climatological water deficit; and biomes_distrib = number of Brazilian biomes that the species occur according to Flora and Funga do Brazil.</p> <p> </p> <h2><strong>Acknowledgments</strong></h2> <p>This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brazil (CAPES) – Finance Code 001, through Portal de Periódicos and scholarships granted to JMFK, JK and RCP. The fieldwork was supported by Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul (FAPERGS grant numbers 2218 – 2551/12-2 and 19/2551-0001698-0), Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq/FAPERGS/PELD number 441590/2020-9), and the Instituto Nacional de Ciência e Tecnologia (INCT) in Ecology, Evolution and Biodiversity Conservation, supported by MCTIC/CNPq (grant number 465610/2014-5). KMB gratefully acknowledge the financial support by the National Institute of Science and Technology in Low Carbon Emission Agriculture (INCT-ABC) sponsored by Brazil’s National Council for Scientific and Technological Development (CNPq, grant no. 406635/2022-6), the Foundation for Research Support of the State of Rio Grande do Sul (Fapergs, grant no. 22/2551-0000392-3), and the Ministry of Agriculture (MAPA). SCM is supported by Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq; grant number 309659/2019-1.</p> <p> </p> <h3><strong>Please find below the data used in the study.</strong></h3>

opencc-by-4.0Dec 2011View details →

Fig. 1 in Seasonal Changes In Zooplankton Community Of The Daugava River

Fig. 1. Water discharge and level recorded dur- Fig. 2. Water temperature recorded during the ing the study period (according to information study period (according to information provided provided by the company "Latvian Environment, by the company "Latvian Environment, Geology Geology and Meteorology Centre"). and Meteorology Centre").

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Fig. 3 in Seasonal Changes In Zooplankton Community Of The Daugava River

Fig. 3. Abundance of zooplankton taxonomic Fig. 5. The share (in percentage terms) of taxo- groups and Shannon-Wiener index in the Dau- nomic groups in the Daugava River zooplankton gava River during different seasons. abundance during different seasons.

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Figure 2 in Changes in galling insect community on Caryocar brasiliense trees mediated by soil chemical and physical attributes

Figure 2. Principal components regressions among: (A) Eurytoma sp. galling insect adults (Eur.) with phosphorus-Mehlich 1 (mg dm-3) contents (P.C.) and silt (dag kg-1) (Si.); (B) numbers of Eurytoma sp. glodoid galls (E.G.G.) with pH in water, capacity of cationic exchange (cmol dm-3) (C.C.E.), and P.C.; (C) area (mm2) of Eurytoma sp. glodoid galls (A.E.G.) with pH and clay (dag kg-1) (Cl.); (D) c length of conglomerate of Eurytoma sp. globoid galls (L.G.E.) with pH and Cl.; (E) width of conglomerate of Eurytoma sp. globoid galls (W.G.E.) with pH and Cl.; and (F) number of Hymenopteran discoid galls (H.D.G.) with aluminum (cmol dm-3) contents (A.C.), C.C.E., c and percentage of soil base saturation of the capacity of cationic exchange to pH 7.0 (S.B.S.) on Caryocar brasiliense trees in three years. The symbols represent the averages and the bars the standard errors. n = 111.

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Figure 1 in Changes in galling insect community on Caryocar brasiliense trees mediated by soil chemical and physical attributes

Figure 1. Principal components regressions among: (A) abundance of galling insects (A.G.I.) with phosphorus-Mehlich 1 (mg dm-3) contents (P.C.) and sand (dag kg-1) (Sa.); (B) species richness of galling insects (S.R.G.I.) with capacity of cationic exchange (cmol dm-3) c (C.C.E.); (C) diversity of galling insects (D.G.I.) with C.C.E. and Sa.; (D) percentage of galled leaflet by all galls (P.G.L.) with pH in water and clay (dag kg-1) (Cl.); and (E) percentage of leaflet area taken by all galls (P.L.A.G.) with aluminum (cmol dm-3) contents (A.C.) and c C.C.E. on Caryocar brasiliense trees in three years. The symbols represent the averages and the bars the standard errors. n = 111.

opencc-by-4.0Dec 2022View details →

Figure 4 in Changes in galling insect community on Caryocar brasiliense trees mediated by soil chemical and physical attributes

Figure 4. Principal components regressions among: (A) abundance of predators (A.Pr.) with phosphorus-Mehlich 1 (mg dm-3) contents (P.C.) and clay (dag kg-1) (Cl.); (B) species richness of predators (S.R.Pr.) with number of Hymenoptera discoid galls (H.D.G.), species richness of parasitoids (S.R.P.), and Cl.; (C) diversity of predators (D.Pr.) with diversity of parasitoids (D.P.) and Cl.; (D) number of Zelus armillatus (Zar.) with P.C., percentage of soil base saturation of the capacity of cationic exchange to pH 7.0 (S.B.S.), silt (dag kg-1) (Si.), numbers of Eurytoma sp. glodoid galls (E.G.G.), and capacity of cationic exchange (cmol dm-3) (C.C.E.); (E) number of Epipolops sp. (Epi.) c with protocooperanting ants (Ants), Cl., and pH in water; and (F) number of spiders (Spi.) with Ants, P.C., and Si. on Caryocar brasiliense trees in three years. The symbols represent the averages and the bars the standard errors. n = 111.

opencc-by-4.0Jul 2022View details →

Figure 3 in Organic farming and moderate tillage change the dominance and spatial structure of soil Collembola communities but have little effects on bulk abundance and species richness

Figure 3. Abundance, number of species and Berger-Parker index in samples in different management types and fields. Colors show fields. Boxplots show data distribution (n = 81 per field), horizontal lines represent the medians.

Fig. 6 in Changes in an invaded Florida ant (Hymenoptera: Formicidae) community over 25 years

Fig. 6. Centroids of clusters based on mo of the 2018 monthly pitfall sampling done in sandhill habitat. Centroids were calculated from a non-metric multidimensional scaling analysis run on the pooled sampling data from 2018 (k = 2; stress = 0.19). Vectors connect each centroid in the directionality of mo-based time. Longer vectors represent larger changes in community structure between sampling events. Each mo is distinguished between centroids based on shape.

Fig. 5 in Changes in an invaded Florida ant (Hymenoptera: Formicidae) community over 25 years

Fig. 5. Non-metric multidimensional scaling of 2012 litter data (k = 3; stress = 0.09). Shapes represent clusters in multi-dimensional space based on habitat type (FW = Flatwoods, HH = Hydric hammock, RS = Roadside, SH = Sandhill). Larger points represent centroids of these clusters.

Fig. 1. Species accumulation curves for 2012 pitfall sampling with each facet representing a in Changes in an invaded Florida ant (Hymenoptera: Formicidae) community over 25 years

Fig. 1. Species accumulation curves for 2012 pitfall sampling with each facet representing a distinct habitat. Curves were generated with incidence data and sites were added randomly to generate these curves. Shaded areas represent the 95% confidence intervals.

Fig. 2. Species accumulation curves for 2012 litter sampling with each facet representing a in Changes in an invaded Florida ant (Hymenoptera: Formicidae) community over 25 years

Fig. 2. Species accumulation curves for 2012 litter sampling with each facet representing a distinct habitat. Curves were generated with incidence data and sites were added randomly to generate these curves. Shaded areas represent the 95% confidence intervals.

Fig. 4 in Changes in an invaded Florida ant (Hymenoptera: Formicidae) community over 25 years

Fig. 4. Non-metric multidimensional scaling of 2012 pitfall data (k = 3; stress = 0.15). Shapes represent clusters in multi-dimensional space based on habitat type (FW = Flatwoods, HH = Hydric hammock, RS = Roadside, SH = Sandhill). Larger points represent centroids of these clusters.

Fig. 3. Species accumulation curves for 2018 in Changes in an invaded Florida ant (Hymenoptera: Formicidae) community over 25 years

Fig. 3. Species accumulation curves for 2018 pitfall sampling done in sandhill habitat. Monthly sampling data was pooled into a single dataset. The curve was generated with incidence data and sites were added randomly to generate the curve. Shaded areas represent the 95% confidence intervals.

opencc-by-4.0Nov 2022View details →

Figure 5 in Shifts in ground-dwelling predator communities in response to changes in management intensity in Alpine meadows

Figure 5. Proportions and χ2-test results for the ecological species traits moisture, rarity and ecological tolerance of ground-dwelling predatory arthropods (Arachnida, Carabidae, Staphylinidae, Formicidae) from extensively and intensively managed hay meadows in South Tyrol, Italy.