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248 results for “assemblage structure”

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Figure S2 in Assessing structure and seasonal variations of a temperate shallow water fish assemblage through Snorkel Visual Census

Figure S2. – Diel variation in observation frequency of individual species. Gobiusculus flavescens and S. melops were both more frequent at daytime, while A. anguilla, M. scorpius, S. trutta, G. morhua, C. harengus and T.bubalis were, all more frequently encountered at night.

opencc-by-4.0Dec 2019View details →
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Figure S1 in Assessing structure and seasonal variations of a temperate shallow water fish assemblage through Snorkel Visual Census

Figure S1. – Diel variations in assemblage structure was significant (X2 P <0.05). Demersal fishes are most abundant at day, while benthic fishes are dominant at night. Abundance of pelagic fishes increase at night.

opencc-by-4.0Dec 2019View details →
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Figure 2. – Monthly average species richness observed during diurnal counts from June 2013 in Assessing structure and seasonal variations of a temperate shallow water fish assemblage through Snorkel Visual Census

Figure 2. – Monthly average species richness observed during diurnal counts from June 2013 to August 2014. Error bars represent ±SD. Number of counts per month are, indicated at column bases.

opencc-by-4.0Dec 2019View details →
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Figure 3 in Assessing structure and seasonal variations of a temperate shallow water fish assemblage through Snorkel Visual Census

Figure 3. – Correlation between temperature and species richness compared between diurnal and nocturnal counts. Dotted trendlines show the quadratic and linear relationships between species richness and temperature at diurnal and nocturnal counts respectively.

opencc-by-4.0Dec 2019View details →
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Final dataset used in our paper "Phenological shifts alter the seasonal structure of pollinator assemblages in Europe"

<p>To build this dataset we merged records from 15 sources of data, listed in Extended Table 1. The way we mergre this database is described in the method part of the paper.</p> <p>Columns descriptor:</p> <p>Latitude and Longitude : WGS 84 coordinates</p> <p>Jday: Julian day of the record</p> <p>Species_mode: Species names and phenology mode (1,2,... or NA if the phenology is unimodal)</p> <p>Order: taxonomic order of the species</p> <p>Altitude: altitude got from spatial coordinates</p> <p>Source: Source of the data</p>

opencc-by-4.0Oct 2019View details →
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Fig. 2 in Spatial variation of dung beetle assemblages associated with forest structure in remnants of southern Brazilian Atlantic Forest

Fig. 2. Principal coordinates analysis (PCoA) of dung beetle species based on Bray–Curtis similarity and environmental variables based on Euclidean distance. The analysis was performed using presence–absence (a), abundance (b) and biomass (c) data of dung beetles, and 15 environmental variables (d). ANH: Anhatomirim Environmental Protection Area; ITA: Permanent Protection Areas of Itapema; PER: Peri Lagoon Municipal Park; RAT: Permanent Protection Areas of Ratones.

opencc-by-4.0Nov 2015View details →
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Figure 1 in Effects of forest conversion on tce assemblages' structure of aquatic insects in subtropical regions

Figure 1. Location of tce micro-basin and sampled streams in forested area (F1, F2, and F3) and converted area (C1, C2, and C3) at Parque Estadual do Turvo and adjacent areas, in soutcern Brazil.

opencc-by-4.0Jan 2015View details →
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Figure 3 in Effects of forest conversion on tce assemblages' structure of aquatic insects in subtropical regions

Figure 3. Ordination diagram of NMDS of Epcemeroptera, Plecoptera, and Triccoptera assemblages at streams in forested area (F) and converted area (C). Numbers 1-3 refer to tce stream; R refers to rocky bottom substrate, and L refers to leaf litter substrate.

opencc-by-4.0Jan 2015View details →
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Figure 2 in Structure of summer bat assemblages in forests in European Russia

Figure 2. Location of main mist-netting site in the southeast part of the Voronezhsky State Nature Biosphere Reserve.

opencc-by-4.0Jan 2016View details →
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Figure 5 in Structure of the macrozoobenthos assemblages in the central part of the northwestern Black Sea shelf (Zernov's Phyllophora field) at the beginning of the 21 century

Figure 5. Some characteristic species in Mytilus galloprovincialis biocoenotic complex at the Zernov's Phyllophora Field. A – Mytilus galloprovincialis with a colony of Botryllus schlosseri on the shell; B – Modiolula phaseolina; C – Mytilaster lineatus; D – Abra alba; E – Papillicardium papillosum; F – Parvicardium exiguum; G – Pitar rudis; H – Anadara kagoshimensis; I – Dipolydora quadrilobata, anterior end; J – Heteromastus filiformis; K – Harmothoe imbricata; L – Alitta succinea; M – Spio decorata; N – Nephtys hombergii; O – Terebellides stroemii; P – Spirobranchus triqueter; Q – Aonides paucibranchiata; R – Amphiura stepanovi; S – Nemertea; T – Melinna palmata; U – Upogebia pusilla; V – Ciona intestinalis; W – Ascidiella aspersa; (photos A. Nadolny and N. Revkov).

opencc-by-4.0Feb 2021View details →
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Figure 3 in Structure of the macrozoobenthos assemblages in the central part of the northwestern Black Sea shelf (Zernov's Phyllophora field) at the beginning of the 21 century

Figure 3. Location of biocoenotic subcomplexes (I–IV) of the bottom macrofauna in the Zernov's Phyllophora Field water area.

opencc-by-4.0Feb 2021View details →
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Figure 4 in Structure of the macrozoobenthos assemblages in the central part of the northwestern Black Sea shelf (Zernov's Phyllophora field) at the beginning of the 21 century

Figure 4. "Pontic circalittoral biogenic detritic bottoms with dead or alive mussel beds, shell deposits, with encrusting corallines and attached foliose sciaphilic macroalgae" habitat in the Zernov's Phyllophora Field water area. The photo was taken by scuba diver Taras Getman at st. 26 (2010).

opencc-by-4.0Feb 2021View details →
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Figure 2 in Structure of the macrozoobenthos assemblages in the central part of the northwestern Black Sea shelf (Zernov's Phyllophora field) at the beginning of the 21 century

Figure 2. Hierarchical clustering (A) and MDS ordination (B) of survey stations at Zernov's Phyllophora Field

opencc-by-4.0Feb 2021View details →
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Figure 1 in Life in the extreme environment: Structure and species richness of bird assemblages on Yuzhny Island of Novaya Zemlya, Russia

Figure 1. Study region on Yuzhny Island of Novaya Zemlya. (A) Map of Novaya Zemlya. The yellow circle indicates the study region of Yuzhny Island. (B) Detailed map of the study region with the location of counting routes. The shaded area represents the study area (1). The dashed red lines indicate the counting routes (2). The dashed black line indicates the helicopter route (3).

opencc-by-4.0Jan 2021View details →
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Figure 4 in Life in the extreme environment: Structure and species richness of bird assemblages on Yuzhny Island of Novaya Zemlya, Russia

Figure 4. Relative bird species abundance (log10 scale) over habitat patches on Yuzhny Island of Novaya Zemlya. Numbers of (01) – (10) are the codes of the habitat types. Differences between assemblages were all significant (Kruskal-Wallis test: p = 0.003). Images show habitat types; numbers indicate their codes (see Table 2 for detail). (Photos: V. M. Spitsyn).

opencc-by-4.0Jan 2021View details →
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Figure 3 in Life in the extreme environment: Structure and species richness of bird assemblages on Yuzhny Island of Novaya Zemlya, Russia

Figure 3. Species diversity of bird assemblages on Yuzhny Island of Novaya Zemlya. (A) Bi-plot of detrended correspondence analysis (DCA) with supplementary variables, showing the ordination of species and environmental variables. Circles indicate bird species abundance (categorical estimations by using a logarithmic scale, see Table 3), abundances decrease with increasing distance from each point in a unimodal fashion (ter Braak and Smilauer, 2002). Data represent independent samples from various habitats (n = 10). Total variation is 2.44, supplementary variables account for 66.1% (adjusted explained variation is 23.8%). Eigenvalues (lambda) are 0.675, 0.162, 0.069, and 0.025 for first (horizontal), second (vertical), third and fourth axes, respectively. The first two axes explain 34.4% of the variation. The pseudo-canonical correlations of bird abundance and environmental variables for axes 1 and 2 are 0.77 and 0.91, respectively. For an explanation of environmental variables, see Table 4. For abbreviations of species names see Fig. 4. (B) Bi-plot of the same analysis revealing the ordination of species richness over a range of habitats and environmental variables. Circles indicate bird assemblages in primary types of habitats (size of each circle corresponds to the number of bird species). The red numbers near the circles indicate species richness. The black numbers near the circles (01–10) indicate the codes of habitat types (see Fig. 4 and Table 2 for detail).

opencc-by-4.0Jan 2021View details →
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Fig. 5 in Environmental heterogeneity causes differences in the amphibian assemblage structure of an undisturbed montane cloud forest in southern Mexico

Fig. 5. Canonical Correspondence Analysis of the most common amphibians. The arrow orientation and length represent the association, direction, and strength between the environmental variables and the ordination axis. Species names correspond to: Crm (C. matudai), Plm (Pl. matudai), Pls (Pl. sagorum), Pte (Pt. euthysanota), Bof (B. franklini), Boo (B. occidentalis), and Dex (D. xolocalcae) Environmental acronyms correspond to: Hum (Humidity), Understory_Den (Under story density), Le_Li_depth (leaf litter depth), and Temp (temperature).

opencc-by-4.0May 2022View details →
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Fig. 4 in Environmental heterogeneity causes differences in the amphibian assemblage structure of an undisturbed montane cloud forest in southern Mexico

Fig. 4. (a) Principal Component Analysis, grouping the eight sites present in the core zones according to eight environmental variables taken in each site. Blue triangles: TCZ (El Triunfo core zone) sites; pink circles: QCZ (El Quetzal core zone) site. (b) Eight environmental variables measured in the eight sites (four per core zone). Median (solid line), 25th and 75th percentiles (boundaries of boxes), minimum and maximum (lines).

opencc-by-4.0May 2022View details →
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Fig. 1 in Environmental heterogeneity causes differences in the amphibian assemblage structure of an undisturbed montane cloud forest in southern Mexico

Fig. 1. Location of the two sampled zones, El Triunfo core zone [TCZ] (1) and the El Quetzal core zone [QCZ] (3), in the El Triunfo Biosphere Reserve (ETBR), Sierra Madre de Chiapas, Mexico, and illustration of the sample design (core zones, sites, and plots).

opencc-by-4.0May 2022View details →
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Fig. 3 in Environmental heterogeneity causes differences in the amphibian assemblage structure of an undisturbed montane cloud forest in southern Mexico

Fig. 3. (a) Rank-abundance Curves for the El Triunfo core zone [TCZ] and Quetzal core zone [QCZ] in the El Triunfo Biosphere Reserve. Letters on the Rank-abundance Curves correspond to Crm (C. matudai), Crs (C. stuarti), Pll (Pl. lacertosa), Plh (Pl. hartwegii), Plm (Pl. matudai), Pls (Pl. sagorum), Dus (D. schmidtorum), Pte (Pt. euthysanota), Exs (E. sumichrasti), Lim (L. maculatus), Bof (B. franklini), Boo (B. occidentalis), Bofl (B. flavimembris), and Dex (D. xolocalcae). (b) Nonmetric multidimensional scaling of the eight sites within the core zones in the ETBR. Blue triangles: TCZ sites, pink circles: QCZ sites. (c) Dendrogram of functional groups of the El Triunfo core zone amphibian species, using Euclidian Distance, and tested functional groups by ANOSIM are highlighted in different colors (FG1: green; FG2: brown; FG3: blue; FG4: red, and FG5: yellow).

opencc-by-4.0May 2022View details →

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International Brain Laboratory public data

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