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opencc-by-4.0Dec 2015View details →

Figure 1 in First record of the chocolate shrimp-goby (Gobiidae: Cryptocentrus malindiensis) from Réunion Island with a brief description of its natural habitat

Figure 1. - Association between Cryptocentrus malindiensis and the shrimp Alpheus rubromaculatus near a lava flow of the Piton de la Fournaise, Réunion Island. A: General view; B: Close-up.

Fig. 4 in Distribution and habitat suitability of two neighboring Lycian salamanders

Fig. 4. Variables with the highest contributions to the potential distributions of L. flavimembris (a) and L. fazilae (b) according to MaxEnt, with the standard errors in shown blue. In each graph, the y-axis indicates the probability of presence and the x-axis shows the contribution of each variable. See Table 1 for definitions of the environmental variables.

Fig. 6 in Distribution and habitat suitability of two neighboring Lycian salamanders

Fig. 6. Frequencies of Bedrock types on the different presence points of L. flavimembris and L. fazilae. Bedrock type abbreviations: Alluvion [All], Breccias [Brec], Pebble Stone-Sandstone-Mudstone [PS-SS-MS], Chert [Cher], Cherty Limestone [Cher LS], Dolomite [Dol], Limestone [LS], Melange [Mel], Peridotite [Per], Spilite-Basalt-Tuff [SBT], Sandstone-Mudstone [SS-MS], Sandstone-Mudstone-Limestone [SS-MS-LS], Volcanite-Sedimentary Rock [V-SR], and all unknown rock types [Unknown].

Fig. 3 in Distribution and habitat suitability of two neighboring Lycian salamanders

Fig. 3. Results of the Jackknife test for evaluating the relative importance of environmental variables for L. flavimembris (a) and L. fazilae (b). See Table 1 for definitions of the environmental variables.

Fig. 2 in Distribution and habitat suitability of two neighboring Lycian salamanders

Fig. 2. The receiver operating characteristic (ROC) curves for L. flavimembris (a) and L. fazilae (b).

opencc-by-4.0Aug 2021View details →

Fig. 3 in Composition and structure of the helminth community of rodents in matrix habitat areas of the Atlantic forest of southeastern Brazil

Fig. 3. Bipartite plot of the interactions between the mammal hosts and the helminth parasites identified in the present study.

opencc-by-4.0Aug 2021View details →

Fig. 2 in Composition and structure of the helminth community of rodents in matrix habitat areas of the Atlantic forest of southeastern Brazil

Fig. 2. Species accumulation curve of the helminths recorded in each mammalian host: a. Akodon cursor b. Mus musculus c. Necromys lasiurus.

opencc-by-4.0Aug 2021View details →

Fig. 1 in Composition and structure of the helminth community of rodents in matrix habitat areas of the Atlantic forest of southeastern Brazil

Fig. 1. Location of the sampling sites within the REBIO Poço das Antas and the APA-BRSJ in Rio de Janeiro state (RJ), southeastern Brazil, showing the distribution of the different vegetation types and the canals that separate the two reserves.

opencc-by-4.0Apr 2021View details →

Fig. 1 in Borrelia miyamotoi infection in Apodemus spp. mice populating an urban habitat (Warsaw, Poland)

Fig. 1. Scheme of the study area (city of Warsaw, Poland) showing the arrangement of mice-trapping locations. Black points – locations where B. miyamotoi infected mice were present; White points – locations where none of the captured mice were B. miyamotoi infected; N1–N3 – locations within northern suburbs; C1–C5 - locations within city centre; S1–S2 – locations within southern suburbs; numbers in boxes – B. miyamotoi prevalence in mice inhabiting respective areas.

opencc-by-4.0Nov 2018View details →

Fig. 2 in Influence of habitat connectivity and seasonality on the ichthyofauna structure of a riverine knickzone

Fig. 2. Non-metric multidimensional plots of the abundance of fish assemblage sampled in isolated (I) and connected (C) pools during the rainy and dry season in the Sapucaí-Mirim River knickzone, Southeast Brazil.

opencc-by-4.0Dec 2019View details →

Fig. 2 in Richness of Chrysomelidae (Coleoptera) depends on the area and habitat structure in semideciduous forest remnants

Fig. 2. Rarefaction and extrapolation curve (a) and sample-coverage curve (B) of Chrysomelidae assemblage from remnant forest fragments in Dourados, Mato Grosso do Sul, Brazil. In both figures, solid lines represent observed data, dashed lines represent the extrapolation (900 individuals) and shaded areas the 95% confidence intervals (based on a bootstrap method with 1,000 replications).

opencc-by-4.0Dec 2019View details →

Fig. 1 in Richness of Chrysomelidae (Coleoptera) depends on the area and habitat structure in semideciduous forest remnants

Fig. 1. Brazil (light grey), Mato Grosso do Sul State (dark grey) and the regions where the Chrysomelidae assemblage was collected (circles).

Fig. 2 in Habitat complexity does not influence prey consumption in an experimental three-level trophic chain

Fig. 2. Percentage of Chironomidae larvae consumed by Moenkhausia forestii Benine, Mariguela & C. de Oliveira, 2009 in low, intermediate and high habitat complexities in the presence and in the absence of the piscivore Hoplerythrinus unitaeniatus (Spix & Agassiz 1829).

Fig. 4 in Habitat complexity does not influence prey consumption in an experimental three-level trophic chain

Fig. 4. Correlation between the percentages of Chironomidae larvae consumed by Moenkhausia forestii Benine, Mariguela & C. de Oliveira, 2009 and the percentage of individuals of M. forestii consumed by Hoplerythrinus unitaeniatus (Spix & Agassiz 1829) in the all levels of habitat complexity.

Fig. 5 in Habitat complexity does not influence prey consumption in an experimental three-level trophic chain

Fig. 5. Conceptual scheme describing prey consumption by Hoplerythrinus unitaeniatus (Spix & Agassiz 1829) and Moenkhausi forestii Benine, Mariguela & C. de Oliveira, 2009 reported in this experimental study. Bold solid arrows represent trophic interactions and thin solid arrows represent direct effects. Dashed arrow represents indirect effects. Habitat complexity, represented by macrophytes density, affects prey capture strategy of H. unitaeniatus and indirectly affects invertivore foraging.

Fig. 1 in Habitat complexity does not influence prey consumption in an experimental three-level trophic chain

Fig. 1. The experimental design. The (A) axis represents habitat complexity [(a) low, (b) intermediate and (c) high] and the (B) axis represents the piscivore [(d) absence and (e) presence]. Numbers in the aquaria represent the number of replicates for each treatment combination.

Fig. 3 in Habitat complexity does not influence prey consumption in an experimental three-level trophic chain

Fig. 3. Percentage of Moenkhausia forestii Benine, Mariguela & C. de Oliveira, 2009 individuals consumed by Hoplerythrinus unitaeniatus (Spix & Agassiz 1829) in low, intermediate and high habitat complexities.

opencc-by-4.0Dec 2019View details →

Fig. 3 in Richness of Chrysomelidae (Coleoptera) depends on the area and habitat structure in semideciduous forest remnants

Fig. 3. Path diagram showing the direct and indirect effects of the variables on the Chrysomelidae species richness from remnant forest fragments in Dourados, Mato Grosso do Sul, Brazil. The directions of the arrows indicate the direction of effects and the width of arrows is proportional to the effect size. The black arrows indicate significant effects (alpha ≤ 0.05) and the gray arrows indicate insignificant effects.

opencc-by-4.0Jun 2018View details →

Fig. 1 in Bird diversity in an urban ecosystem: the role of local habitats in understanding the effects of urbanization

Fig. 1. Bird species richness and overall abundance recorded in point counts (surveyed on September 2013) in the municipality of Canoas, Rio Grande do Sul, Brazil.