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FIGURE 1 in Testing spatial and environmental factors to explain body shape variation in the widespread Central American Blackbelt cichlid Vieja maculicauda (Teleostei: Cichlidae)

FIGURE 1 | Points representing geographic location for the lots of Vieja maculicauda used in the current study. Straight black lines represent the approximate location of geological block divisions. Purple shading represents a modified version of IUCN redlist data for the distribution of this species (Lyons, 2019).

FIGURE 4 in Testing spatial and environmental factors to explain body shape variation in the widespread Central American Blackbelt cichlid Vieja maculicauda (Teleostei: Cichlidae)

FIGURE 4 | Canonical variate analysis and shape changes along both axes. Shape change has been magnified by two for increased visualization.

FIGURE 3 in Testing spatial and environmental factors to explain body shape variation in the widespread Central American Blackbelt cichlid Vieja maculicauda (Teleostei: Cichlidae)

FIGURE 3 | Principal component analysis of size-corrected shape and deformation grids along each axis.

FIGURE 2 in Testing spatial and environmental factors to explain body shape variation in the widespread Central American Blackbelt cichlid Vieja maculicauda (Teleostei: Cichlidae)

FIGURE 2 | Landmarks (in blue) and semilandmarks (in red) as placed on each specimen. Landmark positions are described on Tab. S1.

opencc-by-4.0Sep 2024View details →

Prediction of Humpback Whale Sighting Zones based on Environmental Factors using Tree-based Algorithms

<p>This is the datased used in the paper: Prediction of Humpback Whale Sighting Zones based on Environmental Factors using Tree-based Algorithms</p>

opencc-by-4.0Nov 2024View details →

Environmental Factors of Mount Saint Helens Ponds During Summer 2022

<p>This repository contains data collected in summer 2022 about environmental factors in 20 ponds near Mount Saint Helens, as well as code for characterizing the quality of thermal refuges in these ponds.</p>

opencc-by-4.0Aug 2014View details →

Fig. 3 in Environmental and geographic factors driving dung beetle (Coleoptera: Scarabaeidae: Scarabaeinae) diversity in the dipterocarp forests of Peninsular Malaysia

Fig. 3. Rank abundance curves of dung beetle species at each of the eight sampling sites: BFR, NGAFR, rGTFR, ¯KSFR, uRBFR, £SFR, ▲TFR, and lUGFR.

opencc-by-4.0Aug 2014View details →

Fig. 4 in Environmental and geographic factors driving dung beetle (Coleoptera: Scarabaeidae: Scarabaeinae) diversity in the dipterocarp forests of Peninsular Malaysia

Fig. 4. NMDS ordination based on the Bray-Curtis distance metric with beetle captures grouped by species (A), genera (B), and tribes (C). Note that the sampling effort at TFR was much greater than sampling effort at the other seven sites.

opencc-by-4.0Aug 2014View details →

Fig. 1 in Environmental and geographic factors driving dung beetle (Coleoptera: Scarabaeidae: Scarabaeinae) diversity in the dipterocarp forests of Peninsular Malaysia

Fig. 1. Locations of the eight dipterocarp forest sites where dung beetle sampling occurred in Peninsular Malaysia: BFR = Berembun Forest Reserve, GAFR = Gunung Angsi Forest Reserve, GTFR = Gunung Tebu Forest Reserve, KSFR = Kledang Saiong Forest Reserve, RBFR = Royal Belum Forest Reserve, SFR = Semangkok Forest Reserve, TFR = Temengor Forest Reserve, and UGFR = Ulu Gombak Forest Reserve.

opencc-by-4.0Mar 2007View details →

Fig. 3 in Environmental factors predicting fish community structure in two neotropical rivers in Brazil

Fig. 3. Scatterplot of canonical correspondence analysis (CCA) for the fish communities of the Jogui and Iguatemi Rivers.

opencc-by-4.0Mar 2007View details →

Fig. 2 in Environmental factors predicting fish community structure in two neotropical rivers in Brazil

Fig. 2. Similarity dendrogram of fish communities in Jogui River (above) and Iguatemi Rivers (below).

opencc-by-4.0Mar 2007View details →

Fig. 4 in Environmental factors predicting fish community structure in two neotropical rivers in Brazil

Fig. 4. Altitudinal distributions of the main fish species in the Jogui (A) and Iguatemi (B) rivers. Black dots represent sampling sites. Horizontal black lines represent species distribution range.

Fig. 6 in Environmental factors related to entry into and ascent of fish in the experimental ladder located close to Itaipu Dam

Fig. 6. Temporal variability (a) and correlogram of total abundance (b) of small-sized fish recorded in the experimental fish ladder (Pool A = 10 m, Pool B = 27 m) located near Itaipu Dam.

Fig. 3 in Environmental factors related to entry into and ascent of fish in the experimental ladder located close to Itaipu Dam

Fig. 3. Monthly variations in abundance of the main middle- and large-sized species in the experimental fish ladder (Pool A = 10 m, Pool B = 27 m) located near Itaipu Dam.

Fig. 2 in Environmental factors related to entry into and ascent of fish in the experimental ladder located close to Itaipu Dam

Fig. 2. Abundance of the main middle- and large-sized species of fish captured in the samples taken in the experimental fish ladder located near Itaipu Dam. The first three letters of each species (found in text) are shown.

Fig. 1 in Environmental factors related to entry into and ascent of fish in the experimental ladder located close to Itaipu Dam

Fig. 1. Variation in temperature, river level, spillway discharge (SD) and turbine discharge (TD) at the experimental ladder located near Itaipu Dam, during the sampling period (a) and correlogram of the variables (b).

Fig. 5 in Environmental factors related to entry into and ascent of fish in the experimental ladder located close to Itaipu Dam

Fig. 5. Correlograms of the residuals of the autoregressive models applied (VV: spillway discharge; VT: turbine discharge) to the data collected in the experimental ladder located near Itaipu Dam.

Fig. 2 in The effect of various environmental factors on the distribution of terrestric slugs (Gastropoda: Pulmonata: Arionidae) - An exemplary study

Fig. 2: Scheme illustrating the study area with its four sub-units. The area is characterized by the alternating sequence of small forests and meadows exhibiting a predominance of different plant associations, respectively. The sketch below shows the arrangement of single sample points within each of the four areas.

Fig. 3 in The effect of various environmental factors on the distribution of terrestric slugs (Gastropoda: Pulmonata: Arionidae) - An exemplary study

Fig. 3: Distribution maps for the slug groups investigated in this study. As clearly recognizable from the graphs, at the time of the investigation slug distribution within the forest areas is more highly developed with respect to that on the meadows.

Fig. 1 in The effect of various environmental factors on the distribution of terrestric slugs (Gastropoda: Pulmonata: Arionidae) - An exemplary study

Fig. 1: Drawings illustrating the size and habit of the four snail species which were included into the present investigation: a) Arion ater, b) A. subfuscus agg., c) A. fasciatus agg., d) A. hortensis agg.