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162 results for “trophic structure”
Riparian buffers maintain aquatic trophic structure in agricultural landscapes
<p>Supporting data and R code for the publication entitled "Riparian buffers maintain aquatic trophic structure in agricultural landscapes".</p> <p> </p>
T a b l e 4 in Changes In The Trophic Structure Of The Vertebrate Predator Community In The Cold Season In Belarussian Paazerje (Northern Belarus) With Emphasis On Depopulation Of The Wild Boar, Sus Scrofa (Artiodactyla, Suida)
T a b l e 4. Dietary overlaps (the Morisita's index) between vertebrate predators in the cold season in coniferous-small-leaved forests of Belarussian Paazerje, Northern Belarus, upper right corner — before a depopulation of the Wild Boar (1982–2011), bottom left corner — aft er a large-scale depopulation of the Wild Boar (2013–2019)
Fig. 2 in Changes In The Trophic Structure Of The Vertebrate Predator Community In The Cold Season In Belarussian Paazerje (Northern Belarus) With Emphasis On Depopulation Of The Wild Boar, Sus Scrofa (Artiodactyla, Suida)
Fig. 2. Th e Golden and White-tailed Eagles feed regularly on carrion and physical interference takes place quite often.
Fig. 1 in Changes In The Trophic Structure Of The Vertebrate Predator Community In The Cold Season In Belarussian Paazerje (Northern Belarus) With Emphasis On Depopulation Of The Wild Boar, Sus Scrofa (Artiodactyla, Suida)
Fig. 1. Dietary similarity of 17 vertebrate predators in the cold season in Belarussian Paazerje, 1972–2012.
Fig. 4 in Changes In The Trophic Structure Of The Vertebrate Predator Community In The Cold Season In Belarussian Paazerje (Northern Belarus) With Emphasis On Depopulation Of The Wild Boar, Sus Scrofa (Artiodactyla, Suida)
Fig. 4. Dietary similarity of 10 vertebrate predators in the cold season in Belarussian Paazerje, 2013–2019.
Data archive: Trophic structure of cold-water coral communities revealed from the analysis of tissue isotopes and fatty acid composition
<p>Data belonging to the paper: </p> <p>Dick van Oevelen, Gerard C. A. Duineveld, Marc S. S. Lavaleye, Tina Kutti and Karline Soetaert (2017) Trophic structure of cold-water coral communities revealed from the analysis of 55 tissue isotopes and fatty acid composition. Marine Biology Research, DOI: https://doi.org/10.1080/17451000.2017.1398404</p> <p>Abstract:</p> <p>The trophic structure of cold-water coral reef communities at two contrasting locations, the 800-<br> m deep Belgica Mounds (Irish margin) and 300-m deep Træna reefs (Norwegian Shelf), was<br> investigated using stable isotope (δ13C and δ15N) and fatty-acid composition analysis. A<br> broad range of specimens, with emphasis on (commercial) fish species, and organic matter<br> sources were sampled using a variety of tools. Irrespective of the environmental and<br> geographical setting, the δ15N values indicated that the food web encompasses roughly 1.5<br> to 3 trophic levels. Mobile echinoderms, i.e. sea urchins and sea stars, had highest δ15N<br> values, indicative of a high trophic position in the food web. The fraction of bacterial fatty<br> acids in reef fauna was generally low (<5%), indicating that enhanced bacterial production in<br> the water column through seafloor seepage of nutrients (‘hydraulic theory’) does not form a<br> significant energy pathway into the food web. The high fraction of algal and essential fatty<br> acids in reef fauna and fish at both locations indicates a close coupling with surface<br> productivity, but the transport mechanism depends on the hydrographic setting. At Træna,<br> Calanus copepods and euphausiids form an additional link between primary production and<br> fish, which is largely absent at Belgica Mounds. At Belgica Mounds, the reef community is<br> primarily supported by phytodetritus, as evidenced by the high contribution of algal fatty<br> acids in faunal tissue and seasonal chlorophyll a deposition and marine snow at the reef. The<br> environmental setting of cold-water coral reefs influences the structure of the associated<br> food web.</p>
Fig. 2 in Trophic organization and fish assemblage structure as disturbance indicators in headwater streams of lower Sorocaba River basin, São Paulo, Brazil
Fig. 2. Average values and confidence interval (IC95%) of individuals' density, Shannon and Margalef Indices for each treatment, structurally complex streams (TT) and simplified stream (TC).
Fig. 1 in Trophic organization and fish assemblage structure as disturbance indicators in headwater streams of lower Sorocaba River basin, São Paulo, Brazil
Fig. 1. Map of the study area showing São Paulo State within Brazil (top left panel); Sorocaba River basin (shaded) and sample region (square) within São Paulo State (bottom left panel); and elevation profile and hydrography with position of the sampled sites (circles) in the sample region (right panel).
Fig. 3 in Trophic organization and fish assemblage structure as disturbance indicators in headwater streams of lower Sorocaba River basin, São Paulo, Brazil
Fig. 3. Projections of the Non-Metric Multidimensional Scaling (NMDS) and the smallest convex hulls that contain all data of the structurally complex streams (TT1, TT2 and TT3) and simplified stream (TC) according to a) taxonomic structure and b) trophic groups.
Fig. 3 in Diet and trophic structure of the fish fauna in a subtropical ecosystem: impoundment effects
Fig. 3. Proportion in number and biomass (CPUE) of the trophic guilds along the longitudinal gradient of the Salto Caxias Reservoir, Iguaçu River, before and after the impoundment. (1 = upstream; 2 = middle region; 3 = dam; 4 = downstream) (Alg = algivores; Det = detritivores; Her = herbivores; Ain = aquatic insectivores; Tin = terrestrial insectivores; Inv = invertivores; Omn = omnivores; Pis = piscivores; Pla = planktivores; Car = carcinophages).
Fig. 1 in Diet and trophic structure of the fish fauna in a subtropical ecosystem: impoundment effects
Fig. 1. Location of sampling sites along the longitudinal gradient of the Iguaçu River, in the area influenced by the Salto Caxias Reservoir, Paraná State. a) before the impoundment; b) after the impoundment. (site 1 = upstream; site 2 = middle region; site 3 = dam; site 4 = downstream).
Fig. 2 in Diet and trophic structure of the fish fauna in a subtropical ecosystem: impoundment effects
Fig. 2. Graphical representation of the first two axes of the Nonmetric multidimensional scaling (nNMDS), demonstrating the food resources used by the fish fauna in the different sites and phases, in the area influenced by the Salto Caxias Reservoir, Iguaçu River. FR = Food resources (AI = aquatic insects; TI = terrestrial insects; DE = decapods; MC = microcrustaceans; MA = macroinvertebrates; MI = microinvertebrates; FI = fish; FS = fish scales; AP = aquatic plants; TP = terrestrial plants; AL = algae; DS = detrit/sediment); B = before impoundment, A = after impoundment; 1 to 4 = sampling sites.
Fig. 1 in Trophic Structure Of Amphibian And Reptile Communities In Terrestrial And Aquatic Ecosystems Of Belarus
Fig. 1. Scheme of food relations of amphibians and reptiles in communities of terrestrial and aquatic ecosystems of Belarus.
Fig. 2 in Trophic Structure Of Amphibian And Reptile Communities In Terrestrial And Aquatic Ecosystems Of Belarus
Fig. 2. Degree of similarity of taxonomic composition of food ration of amphibians and reptilesentomophages in natural ecosystems of Belarus.
FIGURE 3 in Physical habitat as predictor of fish trophic structure in Brazilian Atlantic rainforest streams
FIGURE 3 | Biplot of the first two canonical functions showing how substrate composition (SC), meso-habitat variability (MH), and bank stability (BS) correlate with richness of carnivores (SCar), invertivores (SInv), omnivores (SOmn), and herbivorous-detritivores (SHD).
FIGURE 1 in Physical habitat as predictor of fish trophic structure in Brazilian Atlantic rainforest streams
FIGURE 1 | Sampling sites located in the Paranapanema river basin, São Paulo state, Brazil. The Paranapanema river is highlighted in blue.
Figure 6 in Comparison of trophic structure of the benthic macroinvertebrates in three Bulgarian riverine water bodies
Figure 6. Dendrogram of cluster analysis of the species composition in SH (see the abbreviations in Section 2).
Figure 2 in Comparison of trophic structure of the benthic macroinvertebrates in three Bulgarian riverine water bodies
Figure 2. Relative share of FFGs (%) in the mountain stations of the studied river basins (see the abbreviations in Section 2).
Figure 8 in Comparison of trophic structure of the benthic macroinvertebrates in three Bulgarian riverine water bodies
Figure 8. Ordination diagram (CCA analysis) of the distribution of studied benthic communities along the gradient of environmental factors (see the abbreviations in Section 2).
Figure 3 in Comparison of trophic structure of the benthic macroinvertebrates in three Bulgarian riverine water bodies
Figure 3. Relative share of FFGs (%) in the foothill stations of the studied river basins (see the abbreviations in Section 2).
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Allen Brain Atlas
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International Brain Laboratory public data
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OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.